朱军

2026

DeGMix: Efficient Multi-Task Dense Prediction With Deformable and Gating Mixer

IEEE Transactions on Circuits and Systems for Video Technology

DOI

2025

AnyPos: Automated Task-Agnostic Actions for Bimanual Manipulation

arXiv.org

DOI

2025

Vidar: Embodied Video Diffusion Model for Generalist Bimanual Manipulation

arXiv.org

DOI

2025

Reinforced Embodied Active Defense: Exploiting Adaptive Interaction for Robust Visual Perception in Adversarial 3D Environments

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2025

Physical Adversarial Examples for Person Detectors in Thermal Images Based on 3D Modeling

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2025

HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2025

Guest Editorial: Operationalizing Responsible AI

IEEE Transactions on Artificial Intelligence

DOI

2025

Video4DGen: Enhancing Video and 4D Generation through Mutual Optimization

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2025

Versatile cardiovascular signal generation with a unified diffusion transformer

Nature Machine Intelligence

DOI

2025

FreeAudio: Training-Free Timing Planning for Controllable Long-Form Text-to-Audio Generation

ACM International Conference on Multimedia (ACM MM)

DOI

2025

Fairness without Demographics through Learning Graph of Gradients

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2024

Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning

International Conference on Machine Learning

DOI

2024

DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

International Conference on Machine Learning

DOI

2024

Preconditioning for Physics-Informed Neural Networks

arXiv.org

DOI

2024

RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

International Conference on Learning Representations

DOI

2024

MRJ-Agent: An Effective Jailbreak Agent for Multi-Round Dialogue

arXiv.org

DOI

2024

SDE-HNN: Accurate and Well-Calibrated Forecasting Using Stochastic Differential Equations

ACM Transactions on Knowledge Discovery from Data

DOI

2024

DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2024

LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents

Lecture notes in computer science

DOI

2024

Conformalized Graph Learning for Molecular ADMET Property Prediction and Reliable Uncertainty Quantification

Journal of Chemical Information and Modeling

DOI

2024

Face3DAdv: Exploiting Robust Adversarial 3D Patches on Physical Face Recognition

International Journal of Computer Vision

DOI

2024

Understanding adversarial attacks on observations in deep reinforcement learning

Science China Information Sciences

DOI

2024

Improving transferability of 3D adversarial attacks with scale and shear transformations

Information Sciences

DOI

2024

To Boost Zero-Shot Generalization for Embodied Reasoning With Vision-Language Pre-Training

IEEE Transactions on Image Processing

DOI

2024

DreamReward: Text-to-3D Generation with Human Preference

Lecture notes in computer science

DOI

2024

CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model

Lecture notes in computer science

DOI

2023

Stabilizing GANs' Training with Brownian Motion Controller

International Conference on Machine Learning

DOI

2023

Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning

International Conference on Machine Learning

DOI

2023

Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs

International Conference on Machine Learning

DOI

2023

Training Transformers with 4-bit Integers

Neural Information Processing Systems

DOI

2023

Revisiting Discriminative vs. Generative Classifiers: Theory and Implications

International Conference on Machine Learning

DOI

2023

One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale

International Conference on Machine Learning

DOI

2023

MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks

International Conference on Machine Learning

DOI

2023

Certifiable Out-of-Distribution Generalization

AAAI Conference on Artificial Intelligence

DOI

2023

Robust Classification via a Single Diffusion Model

International Conference on Machine Learning

DOI

2023

A Comprehensive Survey of Continual Learning: Theory, Method and Application

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2023

A Closer Look at Parameter-Efficient Tuning in Diffusion Models

arXiv.org

DOI

2023

Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models

International Conference on Learning Representations

DOI

2023

ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation

Neural Information Processing Systems

DOI

2023

Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning

Nature Machine Intelligence

DOI

2023

Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels

Neural Information Processing Systems

DOI

2023

Competition on robust deep learning

National Science Review

DOI

2023

PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs

Neural Information Processing Systems

DOI

2023

Incorporating neuro-inspired adaptability for continual learning in artificial intelligence

Nature Machine Intelligence

DOI

2023

Memory Efficient Optimizers with 4-bit States

Neural Information Processing Systems

DOI

2023

Towards Accelerated Model Training via Bayesian Data Selection

Neural Information Processing Systems

DOI

2023

How Robust is Google's Bard to Adversarial Image Attacks?

arXiv.org

DOI

2023

Confidence-based Reliable Learning under Dual Noises

Neural Information Processing Systems

DOI

2023

Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving

Computer Vision and Pattern Recognition

DOI

2023

ControlVideo: Adding Conditional Control for One Shot Text-to-Video Editing

arXiv.org

DOI

2023

Heterogeneous multi-task Gaussian Cox processes

Machine Learning

DOI

2023

On the Reuse Bias in Off-Policy Reinforcement Learning

International Joint Conference on Artificial Intelligence

DOI

2023

PREIM3D: 3D Consistent Precise Image Attribute Editing from a Single Image

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI

2022

面向对抗样本的深度神经网络可解释性分析

《自动化学报》

DOI

2022

Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching

International Conference on Machine Learning

DOI

2022

Neural Eigenfunctions are Structured Representation Learners

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2022

Probabilistic Neural–Symbolic Models With Inductive Posterior Constraints

IEEE Transactions on Neural Networks and Learning Systems

DOI

2022

Fast Lossless Neural Compression with Integer-Only Discrete Flows

International Conference on Machine Learning

DOI

2022

Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models

International Conference on Machine Learning

DOI

2022

Thompson Sampling for (Combinatorial) Pure Exploration

International Conference on Machine Learning

DOI

2022

NeuralEF: Deconstructing Kernels by Deep Neural Networks

International Conference on Machine Learning

DOI

2022

Equivariant Energy-Guided SDE for Inverse Molecular Design

International Conference on Learning Representations

DOI

2022

All are Worth Words: A ViT Backbone for Diffusion Models

Computer Vision and Pattern Recognition

DOI

2022

DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Machine Intelligence Research

DOI

2022

Memory Replay with Data Compression for Continual Learning

International Conference on Learning Representations

2022

Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models

International Conference on Learning Representations

2022

Why Are Conditional Generative Models Better Than Unconditional Ones?

arXiv.org

DOI

2022

Diagnosing Ensemble Few-Shot Classifiers

IEEE Transactions on Visualization and Computer Graphics

DOI

2022

EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations

Neural Information Processing Systems

DOI

2022

The More, The Better? Active Silencing of Non-Positive Transfer for Efficient Multi-Domain Few-Shot Classification

ACM Multimedia

DOI

2022

CoSCL: Cooperation of Small Continual Learners is Stronger Than a Big One

Lecture notes in computer science

DOI

2022

Deep Ensemble as a Gaussian Process Approximate Posterior

arXiv.org

DOI

2022

Cluster Attack: Query-based Adversarial Attacks on Graph with Graph-Dependent Priors

International Joint Conference on Artificial Intelligence

DOI

2022

Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model

AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI))

DOI

2022

VMAPD: Generate Diverse Solutions for Multi-Agent Games with Recurrent Trajectory Discriminators

IEEE Conference on Games (CoG)

DOI

2022

AutoLoss-GMS: Searching Generalized Margin-based Softmax Loss Function for Person Re-identification

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI

2021

前言

《计算机研究与发展》

2021

Learning Task-Distribution Reward Shaping with Meta-Learning

AAAI Conference on Artificial Intelligence

DOI

2021

Query2Label: A Simple Transformer Way to Multi-Label Classification

arXiv.org

2021

Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu

International Joint Conference on Artificial Intelligence

DOI

2021

Query-Efficient Black-box Adversarial Attacks Guided by a Transfer-based Prior

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2021

A Bayesian Approach for Subset Selection in Contextual Bandits

AAAI Conference on Artificial Intelligence

DOI

2021

Improving Generative Moment Matching Networks with Distribution Partition

AAAI Conference on Artificial Intelligence

DOI

2021

OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization

Computer Vision and Pattern Recognition

DOI

2021

MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering

International Conference on Learning Representations

2021

珠算：可微概率编程库的设计与实现

Scientia Sinica Informationis

DOI

2021

Adversarial Training with Rectified Rejection

arXiv.org

2021

Accumulative Poisoning Attacks on Real-time Data

Neural Information Processing Systems

2021

AFEC: Active Forgetting of Negative Transfer in Continual Learning

Neural Information Processing Systems

2021

Adversarial Attacks on ML Defense Models Competition

arXiv.org

2021

Query-based Adversarial Attacks on Graph with Fake Nodes

arXiv.org

2021

Automated Decision-based Adversarial Attacks

arXiv.org

2021

Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart

Computer Vision and Pattern Recognition

DOI

2021

Rethinking Natural Adversarial Examples for Classification Models

arXiv.org

2021

ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning

Computer Vision and Pattern Recognition

DOI

2021

Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation

arXiv.org

2021

Adversarial Semantic Contour for Object Detection

arXiv.org

2021

Implicit Normalizing Flows

International Conference on Learning Representations

2021

Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations

Knowledge Discovery and Data Mining

DOI

2021

Few-shot Continual Learning: a Brain-inspired Approach

arXiv.org

2021

Unsupervised Part Segmentation through Disentangling Appearance and Shape

Computer Vision and Pattern Recognition

DOI

2021

Tianshou: a Highly Modularized Deep Reinforcement Learning Library

Journal of machine learning research

2021

Stability and Generalization of Bilevel Programming in Hyperparameter Optimization

Neural Information Processing Systems

2021

Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization

Neural Information Processing Systems

2021

Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness

arXiv.org

2021

AdvCapsNet: To defense adversarial attacks based on Capsule networks

Journal of Visual Communication and Image Representation

DOI

2021

Black-box Detection of Backdoor Attacks with Limited Information and Data

IEEE International Conference on Computer Vision

DOI

2021

Exploring Memorization in Adversarial Training

International Conference on Learning Representations

2021

Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks

European Conference on Computer Vision

DOI

2021

Scalable Quasi-Bayesian Inference for Instrumental Variable Regression

Neural Information Processing Systems

2021

Counter-Strike Deathmatch with Large-Scale Behavioural Cloning

2022 IEEE Conference on Games (CoG)

DOI

2021

Regularized OFU: an Efficient UCB Estimator forNon-linear Contextual Bandit

arXiv.org

2021

On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms

Neural Information Processing Systems

2021

Improving Transferability of Adversarial Patches on Face Recognition with Generative Models

Computer Vision and Pattern Recognition

DOI

2021

LiBRe: A Practical Bayesian Approach to Adversarial Detection

Computer Vision and Pattern Recognition

DOI

2021

KO-PDE: Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients

arXiv.org

2021

Deep reinforcement learning with credit assignment for combinatorial optimization

Pattern Recognition

DOI

2021

Unrestricted Adversarial Attacks on ImageNet Competition

arXiv.org

2021

Understanding Softmax Confidence and Uncertainty

arXiv.org

2021

Pre-Trained Models: Past, Present and Future

AI Open

DOI

2021

Strategically-timed State-Observation Attacks on Deep Reinforcement Learning Agents

International Conference on Machine Learning

2021

Loss function search for person re-identification

Pattern Recognition

DOI

2021

Mining Cross Features for Financial Credit Risk Assessment

Proceedings of the ... ACM International Conference on Information & Knowledge Management

DOI

2021

Learning auto-scale representations for person re-identification

Image and Vision Computing

DOI

2021

Adaptive N-step Bootstrapping with Off-policy Data

2021

Auto-ReID+: Searching for a multi-branch ConvNet for person re-identification

Neurocomputing

DOI

2021

Off-Policy Training for Truncated TD($$\lambda $$) Boosted Soft Actor-Critic

Lecture notes in computer science

DOI

2020

迈向第三代人工智能

《中国科学:信息科学》

2020

VFlow: More Expressive Generative Flows with Variational Data Augmentation

International Conference on Machine Learning

2020

Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models

International Conference on Machine Learning

2020

Triple-Memory Networks: A Brain-Inspired Method for Continual Learning

IEEE Transactions on Neural Networks and Learning Systems

DOI

2020

Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings

International Conference on Artificial Intelligence and Statistics

2020

Nonparametric Score Estimators

International Conference on Machine Learning

2020

Understanding and Stabilizing GANs' Training Dynamics Using Control Theory

International Conference on Machine Learning

2020

BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning

Asian Conference on Machine Learning

2020

A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models

International Conference on Artificial Intelligence and Statistics

2020

Exploration Analysis in Finite-Horizon Turn-based Stochastic Games

Conference on Uncertainty in Artificial Intelligence

2020

Delving into the Adversarial Robustness on Face Recognition

arXiv.org

2020

Efficient Learning of Generative Models via Finite-Difference Score Matching

Neural Information Processing Systems

2020

Discrete Memory Addressing Variational Autoencoder for Visual Concept Learning

IEEE International Joint Conference on Neural Network

DOI

2020

SVQN: Sequential Variational Soft Q-Learning Networks

International Conference on Learning Representations

2020

Toward Accurate Visual Reasoning With Dual-Path Neural Module Networks

Frontiers in Robotics and AI

DOI

2020

Benchmarking Adversarial Robustness on Image Classification

Computer Vision and Pattern Recognition

DOI

2020

Learning Implicit Generative Models by Teaching Density Estimators

ECML/PKDD

DOI

2020

Boosting the Robustness of Capsule Networks with Diverse Ensemble

International Conference on Information and Software Technologies

DOI

2020

Series Saliency: Temporal Interpretation for Multivariate Time Series Forecasting

arXiv.org

2020

Bi-level Score Matching for Learning Energy-based Latent Variable Models

Neural Information Processing Systems

2020

Defense Against Adversarial Attacks via Controlling Gradient Leaking on Embedded Manifolds

European Conference on Computer Vision

DOI

2020

Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters

European Conference on Computer Vision

DOI

2020

Understanding and Exploring the Network with Stochastic Architectures

Neural Information Processing Systems

2020

Multi-label classification: do Hamming loss and subset accuracy really conflict with each other?

Neural Information Processing Systems

2020

Analyzing the Noise Robustness of Deep Neural Networks

IEEE Transactions on Visualization and Computer Graphics

DOI

2020

Model-based Credit Assignment for Model-free Deep Reinforcement Learning

2020

SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models

International Conference on Learning Representations

2020

Foreword: special issue for the journal track of the 11th Asian Conference on Machine Learning (ACML 2019)

Machine-mediated learning

DOI

2020

Towards Face Encryption by Generating Adversarial Identity Masks

IEEE International Conference on Computer Vision

DOI

2020

Dynamic Window-level Granger Causality of Multi-channel Time Series

arXiv.org

2020

Posterior sampling for multi-agent reinforcement learning: solving extensive games with imperfect information

International Conference on Learning Representations

2020

Further Analysis of Outlier Detection with Deep Generative Models

Neural Information Processing Systems

2020

Calibrated Reliable Regression using Maximum Mean Discrepancy

Neural Information Processing Systems

2020

Boosting Adversarial Training with Hypersphere Embedding

Neural Information Processing Systems

2020

Bag of Tricks for Adversarial Training

International Conference on Learning Representations

2020

Adversarial Distributional Training for Robust Deep Learning

Neural Information Processing Systems

2020

Variance Reduction and Quasi-Newton for Particle-Based Variational Inference

International Conference on Machine Learning

2020

PopMNet: Generating structured pop music melodies using neural networks

Artificial Intelligence

DOI

2020

Towards a new generation of artificial intelligence in China

Nature Machine Intelligence

DOI

2019

最大熵判别主题模型的高效学习算法

《模式识别与人工智能》

DOI

2019

Max-Margin Majority Voting for Learning from Crowds

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2019

Playing FPS Games With Environment-Aware Hierarchical Reinforcement Learning

International Joint Conference on Artificial Intelligence

DOI

2019

Improving Adversarial Robustness via Promoting Ensemble Diversity

International Conference on Machine Learning

2019

Combo-Action: Training Agent For FPS Game with Auxiliary Tasks

AAAI Conference on Artificial Intelligence

DOI

2019

Scalable Training of Inference Networks for Gaussian-Process Models

International Conference on Machine Learning

2019

Triple Generative Adversarial Networks

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2019

Bayesian Neural Network Realization by Exploiting Inherent Stochastic Characteristics of Analog RRAM

International Electron Devices Meeting

DOI

2019

To Relieve Your Headache of Training an MRF, Take AdVIL

International Conference on Learning Representations

2019

Learn a Robust Policy in Adversarial Games via Playing with an Expert Opponent

Adaptive Agents and Multi-Agent Systems

DOI

2019

Countering Noisy Labels By Learning From Auxiliary Clean Labels

2019

Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks

International Conference on Learning Representations

2019

Towards controllable image descriptions with semi-supervised VAE

Journal of Visual Communication and Image Representation

DOI

2019

Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition

Computer Vision and Pattern Recognition

DOI

2019

Generative Well-intentioned Networks

Neural Information Processing Systems

2019

Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks

Computer Vision and Pattern Recognition

DOI

2019

Function Space Particle Optimization for Bayesian Neural Networks

International Conference on Learning Representations

2019

Boosting Generative Models by Leveraging Cascaded Meta-Models

arXiv.org

2019

Deep Bayesian Structure Networks

2019

Explainable AI: A Brief Survey on History, Research Areas, Approaches and Challenges

Natural Language Processing and Chinese Computing

DOI

2019

The Search for Sparse, Robust Neural Networks

arXiv.org

2019

Multi-objects Generation with Amortized Structural Regularization

Neural Information Processing Systems

2019

DS3L: Deep Self-Semi-Supervised Learning for Image Recognition

arXiv.org

2019

Cross-Lingual Contextual Word Embeddings Mapping With Multi-Sense Words In Mind

arXiv.org

2019

Cluster Alignment With a Teacher for Unsupervised Domain Adaptation

IEEE International Conference on Computer Vision

DOI

2019

DBSN: Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structures

arXiv.org

2019

Design and Interpretation of Universal Adversarial Patches in Face Detection

European Conference on Computer Vision

DOI

2019

Adversarial Variational Inference and Learning in Markov Random Fields

arXiv.org

2019

Efficient Learning Algorithm for Maximum Entropy Discrimination Topic Models

2019

Batch Virtual Adversarial Training for Graph Convolutional Networks

AI Open

DOI

2019

Stochastic Quantization for Learning Accurate Low-Bit Deep Neural Networks

International Journal of Computer Vision

DOI

2019

Improving Black-box Adversarial Attacks with a Transfer-based Prior

Neural Information Processing Systems

2019

Automatic Realistic Music Video Generation from Segments of Youtube Videos

arXiv.org

2019

A Simple yet Effective Baseline for Robust Deep Learning with Noisy Labels

arXiv.org

2019

TarGAN: Generating target data with class labels for unsupervised domain adaptation

Knowledge-Based Systems

DOI

2019

Direct Training for Spiking Neural Networks: Faster, Larger, Better

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2019

A Hierarchical Recurrent Neural Network for Symbolic Melody Generation

IEEE Transactions on Cybernetics

DOI

2019

Neural Network Meets DCN

ACM SIGMETRICS Performance Evaluation Review

DOI

2018

动态不确定条件下的人工智能

《中国科学基金》

2018

Learning Deep Generative Models With Doubly Stochastic Gradient MCMC

IEEE Transactions on Neural Networks and Learning Systems

DOI

2018

Monte Carlo Methods for Maximum Margin Supervised Topic Models

DOI

2018

Sparse Adversarial Perturbations for Videos

AAAI Conference on Artificial Intelligence

DOI

2018

Towards Training Probabilistic Topic Models on Neuromorphic Multi-chip Systems

AAAI Conference on Artificial Intelligence

DOI

2018

Selective Verification Strategy for Learning From Crowds

AAAI Conference on Artificial Intelligence

DOI

2018

Max-Mahalanobis Linear Discriminant Analysis Networks

International Conference on Machine Learning

2018

Adversarial Attack on Graph Structured Data

International Conference on Machine Learning

2018

Composite Binary Decomposition Networks

AAAI Conference on Artificial Intelligence

DOI

2018

Probabilistic Machine Learning: Models, Algorithms and a Programming Library

International Joint Conference on Artificial Intelligence

DOI

2018

Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process

AAAI Conference on Artificial Intelligence

DOI

2018

A Spectral Approach to Gradient Estimation for Implicit Distributions

International Conference on Machine Learning

2018

Transferable Adversarial Attacks for Image and Video Object Detection

International Joint Conference on Artificial Intelligence

DOI

2018

Analyzing the Noise Robustness of Deep Neural Networks

IEEE Conference on Visual Analytics Science and Technology

DOI

2018

Lazy-CFR: fast and near-optimal regret minimization for extensive games with imperfect information

International Conference on Learning Representations

2018

Learning representations on graphs

National Science Review

DOI

2018

Deep Structured Generative Models

arXiv.org

2018

Analyzing the Training Processes of Deep Generative Models

IEEE Transactions on Visualization and Computer Graphics

DOI

2018

Visual Diagnosis of Tree Boosting Methods

IEEE Transactions on Visualization and Computer Graphics

DOI

2018

Semi-crowdsourced Clustering with Deep Generative Models

Neural Information Processing Systems

2018

Stochastic gradient Hamiltonian Monte Carlo with variance reduction for Bayesian inference

Machine-mediated learning

DOI

2018

Video-to-Video Translation with Global Temporal Consistency

ACM Multimedia

DOI

2018

The future of artificial intelligence in China

Communications of the ACM

DOI

2018

Evading Defenses to Transferable Adversarial Examples by Mitigating Attention Shift

2018

$A^*$ sampling with probability matching

2018

Stochastic Expectation Maximization with Variance Reduction

Neural Information Processing Systems

2018

Learning to Assign Credit in Reinforcement Learning by Incorporating Abstract Relations

2018

Essay-Anchor Attentive Multi-Modal Bilinear Pooling for Textbook Question Answering

IEEE International Conference on Multimedia and Expo

DOI

2018

Adversarial Attacks and Defences Competition

arXiv.org

DOI

2018

Geometric Universality of Adversarial Examples in Deep Learning

2018

Scalable Training of Hierarchical Topic Models

Proceedings of the VLDB Endowment

DOI

2018

Sample-efficient policy learning in multi-agent Reinforcement Learning via meta-learning

2018

Graphical Generative Adversarial Networks

Neural Information Processing Systems

2018

Textbook Question Answering Under Instructor Guidance with Memory Networks

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

DOI

2018

Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks

Frontiers in Neuroscience

DOI

2018

Stochastic Expectation Maximization with Variance Reduction

Rare & Special e-Zone (The Hong Kong University of Science and Technology)

2017

神经采样

《计算机学报》

2017

Towards Robust Detection of Adversarial Examples

Neural Information Processing Systems

2017

Population Matching Discrepancy and Applications in Deep Learning

Neural Information Processing Systems

2017

The YouTube-8M Kaggle Competition: Challenges and Methods

arXiv.org

2017

Robust Deep Learning via Reverse Cross-Entropy Training and Thresholding Test

arXiv.org

2017

Kernel Implicit Variational Inference

International Conference on Learning Representations

2017

Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization

British Machine Vision Conference

DOI

2017

Accelerated Proximal Coordinate Gradient Methods

2017

Detecting Semantic Parts on Partially Occluded Objects

British Machine Vision Conference

DOI

2017

Triple Generative Adversarial Nets

Neural Information Processing Systems

2017

Learning Random Fourier Features by Hybrid Constrained Optimization

arXiv.org

2017

Discovering Adversarial Examples with Momentum

arXiv.org

2017

Structured Generative Adversarial Networks

Neural Information Processing Systems

2017

Latent feature models for large-scale link prediction

DOI

2017

Stochastic Training of Graph Convolutional Networks with Variance Reduction

International Conference on Machine Learning

2017

Boosting Adversarial Attacks with Momentum

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

DOI

2017

Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

DOI

2017

Towards better analysis of machine learning models: A visual analytics perspective

Visual Informatics

DOI

2017

Visual Concepts and Compositional Voting

arXiv.org

DOI

2017

Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples

arXiv.org

2017

SaberLDA

DOI

2017

Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

DOI

2017

SAM: Semantic Attribute Modulated Language Modeling

arXiv.org

2017

Scalable Inference for Nested Chinese Restaurant Process Topic Models

arXiv.org

2017

Improving Interpretability of Deep Neural Networks with Semantic Information

Computer Vision and Pattern Recognition

DOI

2017

Big Learning with Bayesian methods

National Science Review

2017

Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization

International Joint Conference on Artificial Intelligence

DOI

2017

Improving Learning-from-Crowds through Expert Validation

International Joint Conference on Artificial Intelligence

DOI

2017

Learning to Write Stylized Chinese Characters by Reading a Handful of Examples

International Joint Conference on Artificial Intelligence

DOI

2017

Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors

International Conference on Machine Learning

2017

Identify the Nash Equilibrium in Static Games with Random Payoffs

International Conference on Machine Learning

2017

Learning Attributes from the Crowdsourced Relative Labels

AAAI Conference on Artificial Intelligence

DOI

2017

Message Passing Stein Variational Gradient Descent

International Conference on Machine Learning

2017

Forecast the Plausible Paths in Crowd Scenes

International Joint Conference on Artificial Intelligence

DOI

2017

ZhuSuan: A Library for Bayesian Deep Learning

arXiv.org

2017

Distributed Accelerated Proximal Coordinate Gradient Methods

International Joint Conference on Artificial Intelligence

DOI

2017

SaberLDA

ACM SIGOPS Operating Systems Review

DOI

2016

Scaling up Dynamic Topic Models

The Web Conference

DOI

2016

Generative Topic Embedding: a Continuous Representation of Documents

Annual Meeting of the Association for Computational Linguistics

DOI

2016

Efficient and Robust Semi-supervised Learning Over a Sparse-Regularized Graph

European Conference on Computer Vision

DOI

2016

TopicPanorama: A Full Picture of Relevant Topics

IEEE Transactions on Visualization and Computer Graphics

DOI

2016

Distributing the Stochastic Gradient Sampler for Large-Scale LDA

Knowledge Discovery and Data Mining

DOI

2016

Interactive Cell Segmentation Based on Active and Semi-Supervised Learning

IEEE Transactions on Medical Imaging

DOI

2016

PSDVec: a Toolbox for Incremental and Scalable Word Embedding

Neurocomputing

DOI

2016

Conditional Generative Moment-Matching Networks

Neural Information Processing Systems

2016

A Communication-Efficient Parallel Method for Group-Lasso

arXiv.org

2016

Streaming Gibbs Sampling for LDA Model

arXiv.org

2016

SaberLDA: Sparsity-Aware Learning of Topic Models on GPUs

IEEE Transactions on Parallel and Distributed Systems

DOI

2016

BitHash: An efficient bitwise Locality Sensitive Hashing method with applications

Knowledge-Based Systems

DOI

2016

Kernel Bayesian Inference with Posterior Regularization

Neural Information Processing Systems

2016

Discriminative Deep Random Walk for Network Classification

Annual Meeting of the Association for Computational Linguistics

DOI

2016

Towards Better Analysis of Deep Convolutional Neural Networks

IEEE Transactions on Visualization and Computer Graphics

DOI

2016

Segment-Level Sequence Modeling using Gated Recursive Semi-Markov Conditional Random Fields

Annual Meeting of the Association for Computational Linguistics

DOI

2016

Neuron Segmentation Based on CNN with Semi-Supervised Regularization

2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

DOI

2016

Spectral Learning for Supervised Topic Models

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2016

Collaborative Filtering with User-Item Co-Autoregressive Models

AAAI Conference on Artificial Intelligence

DOI

2016

Crowd Scene Understanding with Coherent Recurrent Neural Networks

International Joint Conference on Artificial Intelligence

2016

Learning to Generate with Memory

International Conference on Machine Learning

2016

Max-Margin Deep Generative Models for (Semi-)Supervised Learning

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2016

Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context Features

AAAI Conference on Artificial Intelligence

DOI

2016

Diversity-Promoting Bayesian Learning of Latent Variable Models

International Conference on Machine Learning

2015

Large Scale Sentiment Analysis with Locality Sensitive BitHash

Asia Information Retrieval Symposium

DOI

2015

Crowd Fraud Detection in Internet Advertising

The Web Conference

DOI

2015

Stochastic Subgradient MCMC Methods

arXiv.org

2015

Polyphonic Music Modelling with LSTM-RTRBM

ACM Multimedia

DOI

2015

Revisit Long Short-Term Memory: An Optimization Perspective

2015

DP-space: Bayesian Nonparametric Subspace Clustering with Small-variance Asymptotics

International Conference on Machine Learning

2015

Fast Parallel SVM using Data Augmentation

arXiv.org

2015

WarpLDA: a Cache Efficient O(1) Algorithm for Latent Dirichlet Allocation

Proceedings of the VLDB Endowment

DOI

2015

Dropout training for SVMs with data augmentation

Frontiers of Computer Science

DOI

2015

Uncovering the Latent Structures of Crowd Labeling

Pacific-Asia Conference on Knowledge Discovery and Data Mining

DOI

2015

Recent Advances in Bayesian Machine Learning

DOI

2015

Pose-Guided Human Parsing with Deep Learned Features

arXiv.org

2015

DeePM: A Deep Part-Based Model for Object Detection and Semantic Part Localization

arXiv.org

2015

Method and apparatus for detecting cheated clicks

2015

Building Memory with Concept Learning Capabilities from Large-Scale Knowledge Bases

CoCo@NIPS

2015

Bounded-Distortion Metric Learning

arXiv.org

2015

Fast Sampling for Bayesian Max-Margin Models

2015

A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution

Conference on Empirical Methods in Natural Language Processing

DOI

2015

Max-Margin Deep Generative Models

Neural Information Processing Systems

2015

Jointly Modeling Topics and Intents with Global Order Structure

AAAI Conference on Artificial Intelligence

DOI

2015

Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation

AAAI Conference on Artificial Intelligence

DOI

2015

Modelling High-Dimensional Sequences with LSTM-RTRBM: Application to Polyphonic Music Generation

International Joint Conference on Artificial Intelligence

2015

Adaptive Dropout Rates for Learning with Corrupted Features

International Joint Conference on Artificial Intelligence

2015

Bayesian Matrix Completion via Adaptive Relaxed Spectral Regularization

AAAI Conference on Artificial Intelligence

DOI

2014

语言计算的重要国际前沿

《中文信息学报》

2014

Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm

Neural Information Processing Systems

2014

Spectral Methods for Supervised Topic Models

Neural Information Processing Systems

2014

Discriminative Training of Mixed Membership Models

Handbook of Mixed Membership Models and Their Applications

DOI

2014

TopicPanorama: A full picture of relevant topics

IEEE Conference on Visual Analytics Science and Technology

DOI

2014

Max-margin latent feature relational models for entity-attribute networks

IEEE International Joint Conference on Neural Network

DOI

2014

Contrastive Feature Induction for Efficient Structure Learning of Conditional Random Fields

arXiv.org

2014

One kind Roger Manchester - Normal model topic extraction method

2014

An Active Patch Model for Real World Texture and Appearance Classification

European Conference on Computer Vision

DOI

2014

Distributed Bayesian Posterior Sampling via Moment Sharing

Neural Information Processing Systems

2014

Nonparametric bayesian upstream supervised multi-modal topic models

Web Search and Data Mining

DOI

2014

Max-Margin Infinite Hidden Markov Models

International Conference on Machine Learning

2014

Bayesian Max-margin Multi-Task Learning with Data Augmentation

International Conference on Machine Learning

2014

Dropout Training for Support Vector Machines

AAAI Conference on Artificial Intelligence

DOI

2014

Robust RegBayes: Selectively Incorporating First-Order Logic Domain Knowledge into Bayesian Models

International Conference on Machine Learning

2014

Small-Variance Asymptotics for Dirichlet Process Mixtures of SVMs

AAAI Conference on Artificial Intelligence

DOI

2014

Learning Harmonium Models With Infinite Latent Features

IEEE Transactions on Neural Networks and Learning Systems

DOI

2014

Robust Bayesian Max-Margin Clustering

2013

Scalable Inference for Logistic-Normal Topic Models

Neural Information Processing Systems

2013

Discriminative infinite latent feature models

2013 IEEE China Summit and International Conference on Signal and Information Processing

DOI

2013

Nonparametric Bayesian Multi-task Learning with Max-margin Posterior Regularization

2013

Scalable inference in max-margin topic models

Knowledge Discovery and Data Mining

DOI

2013

Gibbs max-margin topic models with data augmentation

Journal of machine learning research

DOI

2013

Sparse online topic models

The Web Conference

DOI

2013

Learning a Contextual Multi-Thread Model for Movie/TV Scene Segmentation

IEEE transactions on multimedia

DOI

2013

Improved Bayesian Logistic Supervised Topic Models with Data Augmentation

Annual Meeting of the Association for Computational Linguistics

2013

Sparse Relational Topic Models for Document Networks

ECML/PKDD

DOI

2013

Relational network link predicting method based on generalized relation hidden topic model

2013

Discriminative Relational Topic Models

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2013

Online Bayesian Passive-Aggressive Learning

International Conference on Machine Learning

2013

Fast Max-Margin Matrix Factorization with Data Augmentation

International Conference on Machine Learning

2013

Gibbs Max-Margin Topic Models with Fast Sampling Algorithms

International Conference on Machine Learning

2013

Generalized relational topic models with data augmentation

2012

Multi-Level Structured Image Coding on High-Dimensional Image Representation

Asian Conference on Computer Vision

DOI

2012

Learning from crowds in the presence of schools of thought

Knowledge Discovery and Data Mining

DOI

2012

Bayesian inference with posterior regularization and applications to infinite latent SVMs

Journal of machine learning research

DOI

2012

MedLDA: maximum margin supervised topic models

Journal of machine learning research

DOI

2012

Large-Margin Predictive Latent Subspace Learning for Multiview Data Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2012

Max-Margin Nonparametric Latent Feature Models for Link Prediction

International Conference on Machine Learning

2012

Some research works in the State Key Laboratory of Intelligent Technology and Systems

Frontiers of Electrical and Electronic Engineering in China

DOI

2011

Infinite Latent SVM for Classification and Multi-task Learning

Neural Information Processing Systems

2011

Conditional topical coding: an efficient topic model conditioned on rich features

Knowledge Discovery and Data Mining

DOI

2011

Infinite SVM: a Dirichlet Process Mixture of Large-margin Kernel Machines

International Conference on Machine Learning

2011

Sparse Topical Coding

Conference on Uncertainty in Artificial Intelligence

2010

MMH : Maximum Margin Supervised Harmoniums

2010

Predictive Subspace Learning for Multi-view Data: a Large Margin Approach

Neural Information Processing Systems

2010

Grafting-light: fast, incremental feature selection and structure learning of Markov random fields

Knowledge Discovery and Data Mining

DOI

2010

Adaptive Multi-Task Lasso: with Application to eQTL Detection

Neural Information Processing Systems

2010

Joint Maximum Margin and Maximum Entropy Learning of Graphical Models

2010

Large Margin Learning of Upstream Scene Understanding Models

Neural Information Processing Systems

2010

Efficient Relational Learning with Hidden Variable Detection

Neural Information Processing Systems

2010

Conditional Topic Random Fields

International Conference on Machine Learning

2009

Maximum Entropy Discrimination Markov Networks

Journal of machine learning research

DOI

2009

StatSnowball: a statistical approach to extracting entity relationships

The Web Conference

DOI

2009

Statistical Web Object Extraction

Encyclopedia of Data Warehousing and Mining

DOI

2009

Primal sparse Max-margin Markov networks

Knowledge Discovery and Data Mining

DOI

2009

User grouping behavior in online forums

Knowledge Discovery and Data Mining

DOI

2009

MedLDA: maximum margin supervised topic models for regression and classification

International Conference on Machine Learning

DOI

2009

On primal and dual sparsity of Markov networks

International Conference on Machine Learning

DOI

2009

Incorporating site-level knowledge to extract structured data from web forums

International World Wide Web Conference (WWW)

DOI

2008

Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction

Journal of machine learning research

DOI

2008

Partially Observed Maximum Entropy Discrimination Markov Networks

Neural Information Processing Systems

2008

Laplace maximum margin Markov networks

International Conference on Machine Learning

DOI

2007

Understanding : an Integrated Approach

2007

Dynamic hierarchical Markov random fields and their application to web data extraction

International Conference on Machine Learning

DOI

2007

Webpage understanding

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2006

Simultaneous record detection and attribute labeling in web data extraction

Knowledge Discovery and Data Mining

DOI

2005

2D Conditional Random Fields for Web information extraction

International Conference on Machine Learning

DOI

2026

Motus2: A Self-Evolving General World Model for Dexterous Manipulation

arXiv preprint

2026

Controlled-Minimax: Stabilizing Adversarial Optimization via Control Theory

arXiv preprint

2026

FunctionEvolve: Structure-Guided Symbolic Regression with LLMs

arXiv preprint

2026

SHIFT: Motion Alignment in Video Diffusion Models with Adversarial Hybrid Fine-Tuning

arXiv preprint

2026

Think-Then-Generate: Reasoning-Aware Text-to-Image Diffusion with LLM Encoders

arXiv preprint

2026

SLA2: Sparse-Linear Attention with Learnable Routing and QAT

arXiv preprint

2026

Omni2Sound: Towards Unified Video-Text-to-Audio Generation

arXiv preprint

2026

RDT2: Exploring the Scaling Limit of UMI Data Towards Zero-Shot Cross-Embodiment Generalization

arXiv preprint

2026

Deterministic Differentiable Structured Pruning for Large Language Models

arXiv preprint

2026

MePo: Meta Post-Refinement for Rehearsal-Free General Continual Learning

arXiv preprint

2026

Nexus: Same Pretraining Loss, Better Downstream Generalization via Common Minima

arXiv preprint

2026

GEM: Generative Supervision Helps Embodied Intelligence

arXiv preprint

2026

TurboT2VA: Fast Large-Scale Text-to-Video-Audio Generation via Score-Regularized Consistency Distillation

arXiv preprint

2026

OpenAI4S: Code as Action, Science as Sessions

arXiv preprint

2026

WorldArena 2.0: Extending Embodied World Model Benchmarking on Modality, Functionality and Platform

arXiv preprint

2026

minWM: A Full-Stack Open-Source Framework for Real-Time Interactive Video World Models

arXiv preprint

2026

Causal Forcing++: Scalable Few-Step Autoregressive Diffusion Distillation for Real-Time Interactive Video Generation

arXiv preprint

2026

WorldArena: A Unified Benchmark for Evaluating Perception and Functional Utility of Embodied World Models

arXiv preprint

2026

SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning

arXiv preprint

2026

LatentUM: Unleashing the Potential of Interleaved Cross-Modal Reasoning via a Latent-Space Unified Model

arXiv preprint

2026

Visual Representation Matters: Exploiting Temporal Differences in Video-to-Audio Generation

arXiv preprint

2026

Causal-rCM: A Unified Teacher-Forcing and Self-Forcing Open Recipe for Autoregressive Diffusion Distillation in Streaming Video Generation and Interactive World Models

arXiv preprint

2026

TurboServe: Serving Streaming Video Generation Efficiently and Economically

arXiv preprint

2026

Beyond Language Priors: Diagnosing and Fixing Visual-Origin Hallucinations in Multimodal LLM

arXiv preprint

2026

Task-State Adaptation with Prototype Memory for Multi-Task Dense Prediction

arXiv preprint

2026

Why Does Post-Training Quantization Work?

arXiv preprint

2026

Motubrain: An Advanced World Action Model for Robot Control

arXiv preprint

2026

Video Compression with Hierarchical Temporal Neural Representation

arXiv preprint

2026

RepoMirage: Probing Repository Context Reasoning in Code Agents with Perturbations

arXiv preprint

2026

Why the Maximum Second Derivative of Activations Matters for Adversarial Robustness

arXiv preprint

2026

Neural Uncertainty Principle: A Unified View of Adversarial Fragility and LLM Hallucination

arXiv preprint

2026

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

arXiv preprint

2026

Safety Alignment as Continual Learning: Mitigating the Alignment Tax via Orthogonal Gradient Projection

arXiv preprint

2026

Vidu S2: Real-Time Interactive, Editable, and Spatial Video Generation

arXiv preprint

2026

Vidu S1: A Real-Time Interactive Video Generation Model

arXiv preprint

2026

Towards Subject Consistency over Dynamic Subject Sets in Video Generation

arXiv preprint

2026

Geometry-Aware Rotary Position Embedding for Consistent Video World Model

arXiv preprint

2026

6Bit-Diffusion: Inference-Time Mixed-Precision Quantization for Video Diffusion Models

arXiv preprint

2026

$h$-control: Training-Free Camera Control via Block-Conditional Gibbs Refinement

arXiv preprint

2026

Ranking-Aware Calibration for Reliable Multimodal Reinforcement Learning

arXiv preprint

2026

Learning-Zone Energy: Online Data Selection for Efficient RL Post-Training

arXiv preprint

2026

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance

arXiv preprint

2026

MePo++: Unifying Representation Refinement and Reconciliation for General Continual Learning

arXiv preprint

2026

SymRegFlow: Symmetry-Regularized Flow Matching for Video World Models

arXiv preprint

2026

PACT: Self-Evolving Physical Safety Alignment for Diffusion Policies in Embodied Manipulation

arXiv preprint

2026

MemSlides: A Hierarchical Memory Driven Agent Framework for Personalized Slide Generation with Multi-turn Local Revision

arXiv preprint

2026

ComMem: Complementary Memory Systems for Test-Time Adaptation of Vision-Language Models

arXiv preprint

2026

Latent Block-Diffusion Temporal Point Processes: A Semi-Autoregressive Framework for Asynchronous Event Sequence Generation

arXiv preprint

2026

Dummy-Aware Weighted Attack (DAWA): Breaking the Safe Sink in Dummy Class Defenses

arXiv preprint

2026

Guideline-Grounded Evidence Accumulation for High-Stakes Agent Verification

arXiv preprint

2026

SRNeRV: A Scale-wise Recursive Framework for Neural Video Representation

arXiv preprint

2026

Helix: Evolutionary Reinforcement Learning for Open-Ended Scientific Problem Solving

arXiv preprint

2026

SageBwd: A Trainable Low-bit Attention

arXiv preprint

2026

Nightmare Dreamer: Dreaming About Unsafe States And Planning Ahead

arXiv preprint

2026

SR-Edit: Region-Aware Image Editing via Self-Refinement

arXiv preprint

2026

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity

arXiv preprint

2026

GMS-CAVP: Improving Audio-Video Correspondence with Multi-Scale Contrastive and Generative Pretraining

arXiv preprint

2026

Frequency-aware Neural Representation for Videos

arXiv preprint

2026

Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation

arXiv preprint

2025

Identifying Sensitive Weights via Post-quantization Integral

arXiv preprint

2025

Towards Safe Reasoning in Large Reasoning Models via Corrective Intervention

arXiv preprint

2025

Invisible to Humans, Triggered by Agents: Stealthy Jailbreak Attacks on Mobile Vision-Language Agents

arXiv preprint

2025

AudioMoG: Guiding Audio Generation with Mixture-of-Guidance

arXiv preprint

2025

DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning

arXiv preprint

2025

Exploratory Diffusion Model for Unsupervised Reinforcement Learning

arXiv preprint

2025

Audio Super-Resolution with Latent Bridge Models

arXiv preprint

2025

Negation-Aware Test-Time Adaptation for Vision-Language Models

arXiv preprint

2025

Visual Generation Without Guidance

arXiv preprint

2025

Beyond Quantity: Distribution-Aware Labeling for Visual Grounding

arXiv preprint

2025

Efficient Hyperparameter Tuning via Trajectory Invariance Principle

arXiv preprint

2025

SpargeAttention: Accurate and Training-free Sparse Attention Accelerating Any Model Inference

arXiv preprint

2025

A Regularized Newton Method for Nonconvex Optimization with Global and Local Complexity Guarantees

arXiv preprint

2025

Unveiling the Basin-Like Loss Landscape in Large Language Models

arXiv preprint

2025

Diffusion Models as Dataset Distillation Priors

arXiv preprint

2025

UltraViCo: Breaking Extrapolation Limits in Video Diffusion Transformers

arXiv preprint

2025

UltraImage: Rethinking Resolution Extrapolation in Image Diffusion Transformers

arXiv preprint

2025

Oscillation-Reduced MXFP4 Training for Vision Transformers

arXiv preprint

2025

SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention

arXiv preprint

2025

RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers

arXiv preprint

2025

Scaling Diffusion Transformers Efficiently via $μ$P

arXiv preprint

2025

MSNeRV: Neural Video Representation with Multi-Scale Feature Fusion

arXiv preprint

2025

CANeRV: Content Adaptive Neural Representation for Video Compression

arXiv preprint

2025

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents

arXiv preprint

2025

Theoretical Analysis of Relative Errors in Gradient Computations for Adversarial Attacks with CE Loss

arXiv preprint

2025

Bridge-SR: Schrödinger Bridge for Efficient SR

arXiv preprint

2025

MLA-Trust: Benchmarking Trustworthiness of Multimodal LLM Agents in GUI Environments

arXiv preprint

2025

ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding

arXiv preprint

2025

NFT: Bridging Supervised Learning and Reinforcement Learning in Math Reasoning

arXiv preprint

2025

VoiceBridge: General Speech Restoration with One-step Latent Bridge Models

arXiv preprint

2025

Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency

arXiv preprint

2025

TetraJet-v2: Accurate NVFP4 Training for Large Language Models with Oscillation Suppression and Outlier Control

arXiv preprint

2025

DiffusionNFT: Online Diffusion Reinforcement with Forward Process

arXiv preprint

2025

H-RDT: Human Manipulation Enhanced Bimanual Robotic Manipulation

arXiv preprint

2025

STAIR: Improving Safety Alignment with Introspective Reasoning

arXiv preprint

2025

Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator

arXiv preprint

2025

Oyster-I: Beyond Refusal -- Constructive Safety Alignment for Responsible Language Models

arXiv preprint

2025

DiffGAP: A Lightweight Diffusion Module in Contrastive Space for Bridging Cross-Model Gap

arXiv preprint

2025

NANO3D: A Training-Free Approach for Efficient 3D Editing Without Masks

arXiv preprint

2025

Part-X-MLLM: Part-aware 3D Multimodal Large Language Model

arXiv preprint

2025

Towards the Worst-case Robustness of Large Language Models

arXiv preprint

2025

CAST: Continuous and Differentiable Semi-Structured Sparsity-Aware Training for Large Language Models

arXiv preprint

2025

UAR-NVC: A Unified AutoRegressive Framework for Memory-Efficient Neural Video Compression

arXiv preprint

DOI

2025

Motus: A Unified Latent Action World Model

arXiv preprint

2025

ControlAudio: Tackling Text-Guided, Timing-Indicated and Intelligible Audio Generation via Progressive Diffusion Modeling

arXiv preprint

2025

TurboDiffusion: Accelerating Video Diffusion Models by 100-200 Times

arXiv preprint

2025

Elucidating the Preconditioning in Consistency Distillation

arXiv preprint

2025

Robust Representation Consistency Model via Contrastive Denoising

arXiv preprint

2025

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning

arXiv preprint

2025

Unveiling Trust in Multimodal Large Language Models: Evaluation, Analysis, and Mitigation

arXiv preprint

2025

Effective Black-Box Multi-Faceted Attacks Breach Vision Large Language Model Guardrails

arXiv preprint

2025

RCR-AF: Enhancing Model Generalization via Rademacher Complexity Reduction Activation Function

arXiv preprint

2025

Benchmarking the Trustworthiness in Multimodal LLMs for Video Understanding

arXiv preprint

2025

Accurate INT8 Training Through Dynamic Block-Level Fallback

arXiv preprint

2025

Vidarc: Embodied Video Diffusion Model for Closed-loop Control

arXiv preprint

2025

SageAttention3: Microscaling FP4 Attention for Inference and An Exploration of 8-Bit Training

arXiv preprint

2025

SageAttention2++: A More Efficient Implementation of SageAttention2

arXiv preprint

2024

ManiBox: Enhancing Embodied Spatial Generalization via Scalable Simulation Data Generations

arXiv (Cornell University)

DOI

2024

PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning

arXiv preprint

2024

Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model

arXiv preprint

2024

Exploring the Transferability of Visual Prompting for Multimodal Large Language Models

arXiv preprint

2024

SparseDM: Toward Sparse Efficient Diffusion Models

arXiv preprint

2024

MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models

arXiv preprint

2024

Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment

arXiv preprint

2024

Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control

arXiv preprint

2024

PivotMesh: Generic 3D Mesh Generation via Pivot Vertices Guidance

arXiv preprint

2024

Freeplane: Unlocking Free Lunch in Triplane-Based Sparse-View Reconstruction Models

arXiv preprint

2024

On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability

arXiv preprint

2024

Accelerating Transformer Pre-training with 2:4 Sparsity

arXiv preprint

2024

Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization

arXiv preprint

2024

On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent

arXiv preprint

2024

BSPA: Exploring Black-box Stealthy Prompt Attacks against Image Generators

arXiv preprint

2024

Efficient Backpropagation with Variance-Controlled Adaptive Sampling

arXiv preprint

2024

Accurate and Reliable Predictions with Mutual-Transport Ensemble

arXiv preprint

2024

Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior

arXiv preprint

2024

Noise Contrastive Alignment of Language Models with Explicit Rewards

arXiv preprint

2024

C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory

arXiv preprint

2024

FrameBridge: Improving Image-to-Video Generation with Bridge Models

arXiv preprint

2024

Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches

arXiv preprint

2024

FlexiDreamer: Single Image-to-3D Generation with FlexiCubes

arXiv preprint

2024

MicroDreamer: Efficient 3D Generation in $\sim$20 Seconds by Score-based Iterative Reconstruction

arXiv preprint

2024

Exploring Aleatoric Uncertainty in Object Detection via Vision Foundation Models

arXiv preprint

2024

MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization

arXiv preprint

2024

SageAttention2: Efficient Attention with Thorough Outlier Smoothing and Per-thread INT4 Quantization

arXiv preprint

2024

T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models

arXiv preprint

2024

Consistency Diffusion Bridge Models

arXiv preprint

2024

LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models

arXiv preprint

2024

Pruning Large Language Models with Semi-Structural Adaptive Sparse Training

arXiv preprint

2024

S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training

arXiv preprint

2024

Towards Efficient Exact Optimization of Language Model Alignment

arXiv preprint

2024

SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration

arXiv preprint

2024

Your Diffusion Model is Secretly a Certifiably Robust Classifier

arXiv preprint

2024

Diffusion Bridge Implicit Models

arXiv preprint

2024

Scaling Laws for Black box Adversarial Attacks

arXiv preprint

2024

Vidu4D: Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfels

arXiv preprint

2024

Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models

arXiv preprint

2024

Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling

arXiv preprint

2024

ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing

arXiv preprint

2023

Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation

arXiv preprint

2023

DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics

arXiv preprint

2023

Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition

arXiv preprint

2023

Learning Sample Difficulty from Pre-trained Models for Reliable Prediction

arXiv preprint

2023

NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data

arXiv preprint

2023

GNOT: A General Neural Operator Transformer for Operator Learning

arXiv preprint

2023

Detection Transformer with Stable Matching

arXiv preprint

2023

Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness

arXiv preprint

DOI

2023

DualTeacher: Bridging Coexistence of Unlabelled Classes for Semi-supervised Incremental Object Detection

arXiv preprint

2023

Towards a General Framework for Continual Learning with Pre-training

arXiv preprint

2023

To Make Yourself Invisible with Adversarial Semantic Contours

arXiv preprint

DOI

2023

A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking

arXiv preprint

2023

Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality

arXiv preprint

2023

InstructPix2NeRF: Instructed 3D Portrait Editing from a Single Image

arXiv preprint

2023

Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis

arXiv preprint

2023

Score Regularized Policy Optimization through Diffusion Behavior

arXiv preprint

2023

Task Aware Dreamer for Task Generalization in Reinforcement Learning

arXiv preprint

2023

Investigating Uncertainty Calibration of Aligned Language Models under the Multiple-Choice Setting

arXiv preprint

2023

Rethinking Model Ensemble in Transfer-based Adversarial Attacks

arXiv preprint

2023

Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

arXiv preprint

2022

Model-based Reinforcement Learning with a Hamiltonian Canonical ODE Network

arXiv (Cornell University)

DOI

2022

DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR

arXiv preprint

2022

DQ-DETR: Dual Query Detection Transformer for Phrase Extraction and Grounding

arXiv preprint

2022

Robustness and Accuracy Could Be Reconcilable by (Proper) Definition

arXiv preprint

2022

GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing

arXiv preprint

2022

A Roadmap for Big Model

arXiv preprint

2022

Regret Analysis for Hierarchical Experts Bandit Problem

arXiv preprint

2022

Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling

arXiv preprint

2022

Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients

arXiv preprint

2022

Accelerated Linearized Laplace Approximation for Bayesian Deep Learning

arXiv preprint

2022

Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk

arXiv preprint

2022

DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

arXiv preprint

2022

BadDet: Backdoor Attacks on Object Detection

arXiv preprint

2022

Spectral Representation Learning for Conditional Moment Models

arXiv preprint

2022

Isometric 3D Adversarial Examples in the Physical World

arXiv preprint

2022

Controllable Evaluation and Generation of Physical Adversarial Patch on Face Recognition

arXiv preprint

2022

Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

arXiv preprint

2022

A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs

arXiv preprint

2022

ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints

arXiv preprint