王黎维

2026

Query-Aware Adaptive Weight Learning for Multimodal Search of Target Modality

Lecture notes in computer science

DOI

2025

LORE: Learning-Based Resource Recommendation for Big Data Queries

Proceedings - International Conference on Data Engineering

DOI

2024

A learned cost model for big data query processing

Information Sciences

DOI

2024

Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

Neural Information Processing Systems

DOI

2024

Quantum Algorithms and Lower Bounds for Finite-Sum Optimization

International Conference on Machine Learning

DOI

2023

A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests

International Conference on Machine Learning

DOI

2023

Forward Laplacian: A New Computational Framework for Neural Network-based Variational Monte Carlo

arXiv.org

DOI

2023

CORE: Common Random Reconstruction for Distributed Optimization with Provable Low Communication Complexity

arXiv.org

DOI

2023

UniTR: A Unified and Efficient Multi-Modal Transformer for Bird’s-Eye-View Representation

IEEE International Conference on Computer Vision

DOI

2023

Offline Meta Reinforcement Learning with In-Distribution Online Adaptation

International Conference on Machine Learning

DOI

2023

DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets

Computer Vision and Pattern Recognition

DOI

2023

ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning

Computer Vision and Pattern Recognition

DOI

2023

Towards Revealing the Mystery behind Chain of Thought: a Theoretical Perspective

Neural Information Processing Systems

DOI

2023

Rethinking the Expressive Power of GNNs via Graph Biconnectivity

International Conference on Learning Representations

DOI

2023

Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

International Conference on Learning Representations

DOI

2022

DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation

European Conference on Computer Vision

DOI

2022

Denoising Masked Autoencoders Help Robust Classification

International Conference on Learning Representations

2022

Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power

Neural Information Processing Systems

DOI

2022

Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective

Neural Information Processing Systems

DOI

2022

GEC: A Unified Framework for Interactive Decision Making in MDP, POMDP, and Beyond

arXiv.org

DOI

2022

Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets

International Conference on Machine Learning

2022

Reconstruction Task Finds Universal Winning Tickets

arXiv.org

2022

Your Transformer May Not be as Powerful as You Expect

Neural Information Processing Systems

DOI

2022

NC $$^2$$ 2 E: boosting few-shot learning with novel class center estimation

Neural computing & applications (Print)

DOI

2022

Is L2 Physics-Informed Loss Always Suitable for Training Physics-Informed Neural Network?

Neural Information Processing Systems

DOI

2022

Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency

Annual Meeting of the Association for Computational Linguistics

DOI

2022

Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation

International Conference on Machine Learning

DOI

2022

Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game

International Conference on Learning Representations

DOI

2022

Provable Sim-to-real Transfer in Continuous Domain with Partial Observations

International Conference on Learning Representations

DOI

2022

Learning Physics-Informed Neural Networks without Stacked Back-propagation

International Conference on Artificial Intelligence and Statistics

2021

Understanding Domain Randomization for Sim-to-real Transfer

International Conference on Learning Representations

2021

Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons

International Conference on Machine Learning

2021

FedCM: Federated Learning with Client-level Momentum

arXiv.org

2021

Nearly Optimal Policy Optimization with Stable at Any Time Guarantee

International Conference on Machine Learning

2021

Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding

Neural Information Processing Systems

2021

On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP

International Conference on Machine Learning

2021

Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs

Neural Information Processing Systems

2021

Multi-stage Optimization based Adversarial Training

arXiv.org

2021

Revisiting Language Encoding in Learning Multilingual Representations

arXiv.org

2021

Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver

International Conference on Learning Representations

2021

Towards a Theoretical Framework of Out-of-Distribution Generalization

Neural Information Processing Systems

2021

Weakly-Supervised Ultrasound Video Segmentation with Minimal Annotations

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2021

Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis

Neural Information Processing Systems

2021

DAGN: Discourse-Aware Graph Network for Logical Reasoning

North American Chapter of the Association for Computational Linguistics

DOI

2021

A Unified Framework for Conservative Exploration

arXiv.org

2021

Boosting the Certified Robustness of L-infinity Distance Nets

International Conference on Learning Representations

2021

Near-optimal Representation Learning for Linear Bandits and Linear RL

International Conference on Machine Learning

2020

Robust Dialogue Utterance Rewriting as Sequence Tagging

arXiv.org

2020

Semi-Supervised Learning for Video Captioning

Findings

DOI

2020

MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius

International Conference on Learning Representations

2020

Fully Convolutional Networks for Panoptic Segmentation

Computer Vision and Pattern Recognition

DOI

2020

Comprehensive Image Captioning via Scene Graph Decomposition

European Conference on Computer Vision

DOI

2020

Boosting Few-Shot Learning With Adaptive Margin Loss

Computer Vision and Pattern Recognition

DOI

2020

MC-BERT: Efficient Language Pre-Training via a Meta Controller

arXiv.org

2020

GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training

International Conference on Machine Learning

2020

Locally Differentially Private (Contextual) Bandits Learning

Neural Information Processing Systems

2020

Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL

International Conference on Learning Representations

2020

Improving One-stage Visual Grounding by Recursive Sub-query Construction

European Conference on Computer Vision

DOI

2020

Improve bone age assessment by learning from anatomical local regions

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2020

Variance-reduced Language Pretraining via a Mask Proposal Network

arXiv.org

2020

FocalMix: Semi-Supervised Learning for 3D Medical Image Detection

Computer Vision and Pattern Recognition

DOI

2020

Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories

International Conference on Learning Representations

2020

Transferred Discrepancy: Quantifying the Difference Between Representations

arXiv.org

2020

Memory Enhanced Global-Local Aggregation for Video Object Detection

Computer Vision and Pattern Recognition

DOI

2020

RANDOM MASK: Towards Robust Convolutional Neural Networks

arXiv.org

2020

Combinatorial Semi-Bandit in the Non-Stationary Environment

Conference on Uncertainty in Artificial Intelligence

2020

(Locally) Differentially Private Combinatorial Semi-Bandits

International Conference on Machine Learning

2020

Improved Analysis of Clipping Algorithms for Non-convex Optimization

Neural Information Processing Systems

2020

On Layer Normalization in the Transformer Architecture

International Conference on Machine Learning

2020

Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot

Neural Information Processing Systems

2019

Defective Convolutional Networks

2019

Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication

International Conference on Learning Representations

2019

Convergence of Adversarial Training in Overparametrized Neural Networks

Neural Information Processing Systems

2019

Equipping Experts/Bandits with Long-term Memory

Neural Information Processing Systems

2019

RepPoints: Point Set Representation for Object Detection

IEEE International Conference on Computer Vision

DOI

2019

Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP

International Conference on Learning Representations

2019

AT-GAN: An Adversarial Generator Model for Non-constrained Adversarial Examples

2019

Few-Shot Learning With Global Class Representations

IEEE International Conference on Computer Vision

DOI

2019

Representation Degeneration Problem in Training Natural Language Generation Models

International Conference on Learning Representations

2019

Efficient Training of BERT by Progressively Stacking

International Conference on Machine Learning

2019

Hint-Based Training for Non-Autoregressive Machine Translation

Conference on Empirical Methods in Natural Language Processing

DOI

2019

On the Anomalous Generalization of GANs

arXiv.org

2019

Adversarially Robust Generalization Just Requires More Unlabeled Data

arXiv.org

2019

Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy

Computer Vision and Pattern Recognition

DOI

2019

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

International Conference on Learning Representations

2019

Robust Local Features for Improving the Generalization of Adversarial Training

International Conference on Learning Representations

2019

Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View

arXiv.org

2019

Learning Relationships for Multi-View 3D Object Recognition

IEEE International Conference on Computer Vision

DOI

2019

A Gram-Gauss-Newton Method Learning Overparameterized Deep Neural Networks for Regression Problems

arXiv.org

2019

McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds

Neural Information Processing Systems

2019

TRAINING NATURAL LANGUAGE GENERATION MOD- ELS

2019

Defective Convolutional Layers Learn Robust CNNs

arXiv.org

2018

Gradient Descent Finds Global Minima of Deep Neural Networks

International Conference on Machine Learning

2018

Large-Scale Sparse Learning From Noisy Tags for Semantic Segmentation

IEEE Transactions on Cybernetics

DOI

2018

Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation

Neural Information Processing Systems

2018

Dropout Training, Data-dependent Regularization, and Generalization Bounds

International Conference on Machine Learning

2018

Learning Region Features for Object Detection

European Conference on Computer Vision

DOI

2018

Improving the Generalization of Adversarial Training with Domain Adaptation

International Conference on Learning Representations

2018

Learning to Navigate for Fine-grained Classification

European Conference on Computer Vision

DOI

2018

Towards Binary-Valued Gates for Robust LSTM Training

International Conference on Machine Learning

2018

Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning

International Journal of Computer Vision

DOI

2018

FRAGE: Frequency-Agnostic Word Representation

Neural Information Processing Systems

2017

基于表分区和内存数据库的族谱生成系统优化

《计算机与数字工程》

2017

Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space

Neural Information Processing Systems

2017

Zero-shot Fine-grained Classification by Deep Feature Learning with Semantics

International Journal of Automation and Computing

DOI

2017

Efficient Private ERM for Smooth Objectives

International Joint Conference on Artificial Intelligence

DOI

2017

The Expressive Power of Neural Networks: A View from the Width

Neural Information Processing Systems

2017

Decoding with Value Networks for Neural Machine Translation

Neural Information Processing Systems

2017

Quadratic Upper Bound for Recursive Teaching Dimension of Finite VC Classes

Annual Conference Computational Learning Theory

2017

Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints

Annual Conference Computational Learning Theory

2017

Randomness in Deconvolutional Networks for Visual Representation

2017

Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2017

Zero-Shot Scene Classification for High Spatial Resolution Remote Sensing Images

IEEE Transactions on Geoscience and Remote Sensing

DOI

2017

Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible

International Conference on Machine Learning

2016

Attribute level lineage in uncertain data with dependencies

Wuhan University Journal of Natural Sciences

DOI

2016

A Refined Analysis of LSH for Well-dispersed Data Points

Workshop on Analytic Algorithmics and Combinatorics

DOI

2016

Dual Learning for Machine Translation

Neural Information Processing Systems

2016

Differentially Private Data Releasing for Smooth Queries

Journal of machine learning research

2015

A Working Model for Uncertain Data with Lineage

Lecture notes in computer science

DOI

2015

Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models

International Journal of Computer Vision

DOI

2015

Training Deeper Convolutional Networks with Deep Supervision

arXiv.org

2015

On the measurement complexity of differentially private query answering

Science China Information Sciences

DOI

2015

Learning Deep Structure-Preserving Image-Text Embeddings

Computer Vision and Pattern Recognition

DOI

2015

Social Image Parsing by Cross-Modal Data Refinement

International Joint Conference on Artificial Intelligence

2015

Pairwise Constraint Propagation on Multi-View Data

arXiv.org

2015

Image classification by visual bag-of-words refinement and reduction

Neurocomputing

DOI

2015

Exploring demographic information in social media for product recommendation

Knowledge and Information Systems

DOI

2015

Large Margin Deep Neural Networks: Theory and Algorithms

arXiv.org

2015

Learning descriptive visual representation for image classification and annotation

Pattern Recognition

DOI

2015

Noise-Robust Semi-Supervised Learning by Large-Scale Sparse Coding

AAAI Conference on Artificial Intelligence

DOI

2015

Low Rank Approximation of Binary Matrices: Column Subset Selection and Generalizations

International Symposium on Mathematical Foundations of Computer Science

DOI

2015

On the Depth of Deep Neural Networks: A Theoretical View

AAAI Conference on Artificial Intelligence

DOI

2015

Noise-robust semi-supervised learning via fast sparse coding

Pattern Recognition

DOI

2014

不确定关系数据属性级溯源表示与概率计算

《软件学报》

2014

对象代理数据库的虚属性查询优化方法

《计算机与数字工程》

2014

A Sampling Method of Finding Top-k Frequent Items on Timestamp-Based Stream

Web Information System and Application Conference

DOI

2014

Learning to Predict from Crowdsourced Data

Conference on Uncertainty in Artificial Intelligence

2014

Multi-scale Orderless Pooling of Deep Convolutional Activation Features

European Conference on Computer Vision

DOI

2014

Improving Image-Sentence Embeddings Using Large Weakly Annotated Photo Collections

European Conference on Computer Vision

DOI

2014

Learning a generative classifier from label proportions

Neurocomputing

DOI

2014

Learning from Weak and Noisy Labels for Semantic Segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2014

A Game-Theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search

International Joint Conference on Artificial Intelligence

2014

Generalized second price auction with probabilistic broad match

ACM Conference on Economics and Computation

DOI

2014

Direct Semantic Analysis for Social Image Classification

AAAI Conference on Artificial Intelligence

DOI

2014

Differentially Private Data Releasing for Smooth Queries with Synthetic Database Output

arXiv.org

2013

Online learning for auction mechanism in bandit setting

Decision Support Systems，Vol. 56

DOI

2013

生物实验信息管理系统

《计算机研究与发展》

2013

Efficient Algorithm for Privately Releasing Smooth Queries

Neural Information Processing Systems

2013

A Theoretical Analysis of NDCG Type Ranking Measures

Annual Conference Computational Learning Theory

2012

Boosting and margin theory

DOI

2012

Dimensionality Dependent PAC-Bayes Margin Bound

Neural Information Processing Systems

2012

Estimation Based on RBM from Label Proportions in Large Group Case

Sino-foreign-interchange Workshop on Intelligent Science and Intelligent Data Engineering

DOI

2012

Further results on the margin explanation of boosting: new algorithm and experiments

Science China Information Sciences

DOI

2011

一种优化关系型溯源信息存储的新方法

《计算机学报》

2011

Learning from error: A two-level combined model for image classification

The First Asian Conference on Pattern Recognition

DOI

2011

Smoothness, Disagreement Coefficient, and the Label Complexity of Agnostic Active Learning

Journal of machine learning research

DOI

2011

A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin

Journal of machine learning research

DOI

2010

Towards Hypothesis Testing and Lossy Minimum Description Length: A Unified Segmentation Framework

Asian Conference on Computer Vision

DOI

2010

Segmentation via NCuts and Lossy Minimum Description Length: A Unified Approach

Asian Conference on Computer Vision

DOI

2009

Learning IMED via shift-invariant transformation

Computer Vision and Pattern Recognition

DOI

2009

A Novel Margin Based Algorithm for Feature Extraction

New generation computing

DOI

2009

Sufficient Conditions for Agnostic Active Learnable

Neural Information Processing Systems

2009

A Density-ratio Framework for Statistical Data Processing

IPSJ Transactions on Computer Vision and Applications

DOI

2009

Theory and Algorithm for Learning with Dissimilarity Functions

Neural Computation

DOI

2008

集成对象代理数据库的科学工作流服务框架中的数据跟踪

《计算机学报》

2008

On the Margin Explanation of Boosting Algorithms

Annual Conference Computational Learning Theory

2008

On Feature Extraction via Kernels

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)

DOI

2007

科学工作流管理平台TotemSWF的设计与实现

《中国科技论文》

2007

Further results on the subspace distance

Pattern Recognition

DOI

2007

On learning with dissimilarity functions

International Conference on Machine Learning

DOI

2007

Rademacher Margin Complexity

Annual Conference Computational Learning Theory

DOI

2006

On image matrix based feature extraction algorithms

IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)

DOI

2006

Comments on "Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation'

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2006

Subspace distance analysis with application to adaptive Bayesian algorithm for face recognition

Pattern Recognition

DOI

2005

On the Euclidean distance of images

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2005

Intrapersonal subspace analysis with application to adaptive Bayesian face recognition

Pattern Recognition

DOI

2005

Parallel and Sequential Support Vector Machines for Multi-label Classification

2005

The equivalence of two-dimensional PCA to line-based PCA

Pattern Recognition Letters

DOI

2004

基于MVCC的保存点和事务部分回滚功能的设计与实现

《海军工程大学学报》

2003

PostgreSQL事务处理的分析与扩展

《第二十届全国数据库学术会议》