李焱

2026

A novel catalyst scheme for stochastic minimax optimization

Mathematical Programming

DOI

2025

Resilio：一种大模型弹性训练容错系统

《计算机研究与发展》

2025

融合通道注意力的跨尺度Transformer图像超分辨率重建

《中国图象图形学报》

2025

Rectangularity and Duality of Distributionally Robust Markov Decision Processes

Mathematical Programming

DOI

2022

Dependency syntax guided BERT-BiLSTM-GAM-CRF for Chinese NER

Expert Systems With Applications，Vol. 196

DOI

2021

Speech Recognition Based Blind Chess Education System Chinese Chess as an Example

International Conference on Information Technology in Medicine and Education

DOI

2018

A grouping approach based on non‐uniform binary grid partitioning for crowd evacuation simulation

Concurrency and Computation Practice and Experience

DOI

2018

A Knowledge Gradient Policy for Sequencing Experiments to Identify the Structure of RNA Molecules Using a Sparse Additive Belief Model

Informs Journal On Computing

DOI

2015

A study on a cooperative character modeling based on an improved NSGA II

Multimedia Tools and Applications

DOI

2009

Research on automobile body conceptual design system based on evolutionary computation

DOI

2026

Multi-view Attention Fusion of Heterogeneous Hypergraph with Dynamic Behavioral Profiling for Personalized Learning Resource Recommendation

arXiv preprint

2026

MipSLAM: Alias-Free Gaussian Splatting SLAM

arXiv preprint

2026

ShipTraj-R1: Reinforcing Ship Trajectory Prediction in Large Language Models via Group Relative Policy Optimization

arXiv preprint

2026

A Collaborative Extended Reality Prototype for 3D Surgical Planning and Visualization

arXiv preprint

2026

VirtueBench: Evaluating Trustworthiness under Uncertainty in Long Video Understanding

arXiv preprint

2026

MM-WebAgent: A Hierarchical Multimodal Web Agent for Webpage Generation

arXiv preprint

2026

BizGenEval: A Systematic Benchmark for Commercial Visual Content Generation

arXiv preprint

2026

What Does Your Short-Answer VQA Score Actually Measure? Evaluator-Dependent Instability in Multimodal Short-Answer Benchmarks

arXiv preprint

2026

Redefining Quality Criteria and Distance-Aware Score Modeling for Image Editing Assessment

arXiv preprint

2026

ProSAC-CT: Progressive Spectral-Anatomical Co-Guided Multi-Stage Diffusion Model for Low-Dose CT Denoising

arXiv preprint

2026

Recompute or Reuse? Diagnosing and Mitigating Textual Shortcuts in VLM Self-Reflection

arXiv preprint

2026

TRUST-ESD: A Risk-Calibrated and Governance-Aware AI Framework for Enterprise Strategic Decision Support Under Uncertainty

arXiv preprint

2026

Initialization Is Critical: Advancing Federated Short-Term Load Forecasting under Load Heterogeneity via Model Initialization

arXiv preprint

2026

Match One, Learn with Graph: One-to-Graph Query Collaboration with Backward Sharing for Object Detection

arXiv preprint

2026

AesCode: Aesthetic Code Generation with Decoupled Cross-Modal Rewards

arXiv preprint

2026

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition

arXiv preprint

2026

NoPA: Non-Parametric Online 3D Scene Graph Generation

arXiv preprint

2026

Is Reasoning Always Useful? Rethinking Reasoning Utility in Universal Multimodal Embeddings

arXiv preprint

2026

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing

arXiv preprint

2026

Multimodal LLMs under Pairwise Modalities

arXiv preprint

2026

Sample Average Approximation for Distributionally Robust Optimization with $φ$-divergences

arXiv preprint

2026

SyncRA: Learning Temporal Correspondence in Omni-Modal Models

arXiv preprint

2026

Robust Reinforcement Learning for Dynamic Treatment Regimes under Model and Measurement Uncertainty

arXiv preprint

2026

Sample Complexity for Markov Decision Processes and Stochastic Optimal Control with Static Risk Measures

arXiv preprint

2026

Reasoning to Align: Implicit Reasoning in Diffusion Transformers for Video Editing

arXiv preprint

2026

A Dialogue between Causal and Traditional Representation Learning: Toward Mutual Benefits in a Unified Formulation

arXiv preprint

2026

AlignMamba-2: Enhancing Multimodal Fusion and Sentiment Analysis with Modality-Aware Mamba

arXiv preprint

2026

Robust Markov Decision Processes on Continuous State Spaces

arXiv preprint

2026

(Cheap) Stochastic Policy Gradient Converges with High Probability for Linear Quadratic Regulator

arXiv preprint

2026

EvoTok: A Unified Image Tokenizer via Residual Latent Evolution for Visual Understanding and Generation

arXiv preprint

2026

CASS: Contribution-Aware Structured Sparsity for Model Merging

arXiv preprint

2025

Kling-Omni Technical Report

arXiv preprint

2025

Towards Modality- and Sampling-Universal Learning Strategies for Accelerating Cardiovascular Imaging: Summary of the CMRxRecon2024 Challenge

arXiv preprint

2025

Multi-View Clustering Meets Heterogenous Data: A Fusion Regularized Method

arXiv preprint

2025

Cluster-Aware Prompt Ensemble Learning for Few-Shot Vision-Language Model Adaptation

arXiv preprint

2025

ProtoGS: Efficient and High-Quality Rendering with 3D Gaussian Prototypes

arXiv preprint

2025

LOIP:Collaborative Lossless LLM Inference Serving with Offloading-based Pipeline Parallelism on Edge Devices

arXiv preprint

2025

GTCN-G: A Residual Graph-Temporal Fusion Network for Imbalanced Intrusion Detection

arXiv preprint

2025

VRD-IU: Lessons from Visually Rich Document Intelligence and Understanding

arXiv preprint

2025

AviationLLM: An LLM-based Knowledge System for Aviation Training

arXiv preprint

2025

Kwai Keye-VL Technical Report

arXiv preprint

2025

MUSE: Multi-Subject Unified Synthesis via Explicit Layout Semantic Expansion

arXiv preprint

2025

Exploiting Block Coordinate Descent for Cost-Effective LLM Model Training

arXiv preprint

2025

An End-to-End Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drones

arXiv preprint

2025

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting

arXiv preprint

2025

SHE-LoRA: Selective Homomorphic Encryption for Federated Tuning with Heterogeneous LoRA

arXiv preprint

2025

When Semantics Mislead Vision: Mitigating Large Multimodal Models Hallucinations in Scene Text Spotting and Understanding

arXiv preprint

2025

Towards Self-Refinement of Vision-Language Models with Triangular Consistency

arXiv preprint

2025

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning

arXiv preprint

2025

Fast Searching of Extreme Operating Conditions for Relay Protection Setting Calculation Based on Graph Neural Network and Reinforcement Learning

arXiv preprint

2025

A Training-Free Length Extrapolation Approach for LLMs: Greedy Attention Logit Interpolation (GALI)

arXiv preprint

2025

Active3D: Active High-Fidelity 3D Reconstruction via Hierarchical Uncertainty Quantification

arXiv preprint

2025

Risk-averse formulations of Stochastic Optimal Control and Markov Decision Processes

arXiv preprint

2025

ARPGNet: Appearance- and Relation-aware Parallel Graph Attention Fusion Network for Facial Expression Recognition

arXiv preprint

DOI

2025

RiemanLine: Riemannian Manifold Representation of 3D Lines for Factor Graph Optimization

arXiv preprint

2025

CogniEdit: Dense Gradient Flow Optimization for Fine-Grained Image Editing

arXiv preprint

2025

Scheduzz: Constraint-based Fuzz Driver Generation with Dual Scheduling

arXiv preprint

2025

CausalVerse: Benchmarking Causal Representation Learning with Configurable High-Fidelity Simulations

arXiv preprint

2025

Learning Adaptive and Temporally Causal Video Tokenization in a 1D Latent Space

arXiv preprint

2025

Computational Hardness of Static Distributionally Robust Markov Decision Processes

arXiv preprint

2025

Efficient Extreme Operating Condition Search for Online Relay Setting Calculation in Renewable Power Systems Based on Parallel Graph Neural Network

arXiv preprint

2025

Should Bias be Eliminated? A General Framework to Use Bias for OOD Generalization

arXiv preprint

2025

Semantic Parallelism: Redefining Efficient MoE Inference via Model-Data Co-Scheduling

arXiv preprint

2024

SELECTOR: Heterogeneous graph network with convolutional masked autoencoder for multimodal robust prediction of cancer survival

arXiv preprint

2024

The state-of-the-art in Cardiac MRI Reconstruction: Results of the CMRxRecon Challenge in MICCAI 2023

arXiv preprint

2024

Stochastic Constrained Decentralized Optimization for Machine Learning with Fewer Data Oracles: a Gradient Sliding Approach

arXiv preprint

2024

FORESEE: Multimodal and Multi-view Representation Learning for Robust Prediction of Cancer Survival

arXiv preprint

2024

Learning Multi-dimensional Human Preference for Text-to-Image Generation

arXiv preprint

2024

An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation

arXiv preprint

2024

FBD-SV-2024: Flying Bird Object Detection Dataset in Surveillance Video

arXiv preprint

DOI

2024

COEF-VQ: Cost-Efficient Video Quality Understanding through a Cascaded Multimodal LLM Framework

arXiv preprint

2024

Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decomposition

arXiv preprint

2024

A Unified and General Framework for Continual Learning

arXiv preprint

2024

Co-occurrence order-preserving pattern mining

arXiv preprint

2024

HiPrompt: Tuning-free Higher-Resolution Generation with Hierarchical MLLM Prompts

arXiv preprint

2024

CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI

arXiv preprint

2024

Self-Paced Learning Strategy with Easy Sample Prior Based on Confidence for the Flying Bird Object Detection Model Training

arXiv preprint

2024

A Unified Solution to Diverse Heterogeneities in One-shot Federated Learning

arXiv preprint

DOI

2024

Trust-free Personalized Decentralized Learning

arXiv preprint

2024

Efficient Diversity-based Experience Replay for Deep Reinforcement Learning

arXiv preprint

2024

Exploiting Unlabeled Data with Multiple Expert Teachers for Open Vocabulary Aerial Object Detection and Its Orientation Adaptation

arXiv preprint

2024

Unity is Power: Semi-Asynchronous Collaborative Training of Large-Scale Models with Structured Pruning in Resource-Limited Clients

arXiv preprint

2024

Center-Sensitive Kernel Optimization for Efficient On-Device Incremental Learning

arXiv preprint

2024

MIDAS: Multi-level Intent, Domain, And Slot Knowledge Distillation for Multi-turn NLU

arXiv preprint

2024

SINGER: Vivid Audio-driven Singing Video Generation with Multi-scale Spectral Diffusion Model

arXiv preprint

2024

ChuLo: Chunk-Level Key Information Representation for Long Document Understanding

arXiv preprint

2024

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment

arXiv preprint

2024

Distributionally robust stochastic optimal control

arXiv preprint

2023

Efficient Pyramid Channel Attention Network for Pathological Myopia Recognition

arXiv preprint

2023

DisControlFace: Adding Disentangled Control to Diffusion Autoencoder for One-shot Explicit Facial Image Editing

arXiv preprint

2023

Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution

arXiv preprint

2023

Maximal co-occurrence nonoverlapping sequential rule mining

arXiv preprint

2023

Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms

arXiv preprint

2023

Repetitive nonoverlapping sequential pattern mining

arXiv preprint

2023

Paragraph-to-Image Generation with Information-Enriched Diffusion Model

arXiv preprint

2023

Cross-Domain Product Representation Learning for Rich-Content E-Commerce

arXiv preprint

2023

Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher Learning

arXiv preprint

2023

Policy Mirror Descent Inherently Explores Action Space

arXiv preprint

2023

Chaos to Order: A Label Propagation Perspective on Source-Free Domain Adaptation

arXiv preprint

2023

First-order Policy Optimization for Robust Policy Evaluation

arXiv preprint

2022

FAEP: Fast Autonomous Exploration Planner for UAV Equipped with Limited FOV Sensor

arXiv preprint

2022

One-off Negative Sequential Pattern Mining

arXiv preprint

2022

Homotopic Policy Mirror Descent: Policy Convergence, Implicit Regularization, and Improved Sample Complexity

arXiv preprint

2022

Block Policy Mirror Descent

arXiv preprint

2022

First-order Policy Optimization for Robust Markov Decision Process

arXiv preprint

2022

Robust Single Image Dehazing Based on Consistent and Contrast-Assisted Reconstruction

arXiv preprint

2022

Deep Learning Assisted End-to-End Synthesis of mm-Wave Passive Networks with 3D EM Structures: A Study on A Transformer-Based Matching Network

arXiv preprint

2022

DSRRTracker: Dynamic Search Region Refinement for Attention-based Siamese Multi-Object Tracking

arXiv preprint

2021

Contrastive Learning for Cold-Start Recommendation

arXiv preprint

2021

Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits

arXiv preprint

2021

Implicit Regularization of Bregman Proximal Point Algorithm and Mirror Descent on Separable Data

arXiv preprint

2021

Single Image Dehazing with An Independent Detail-Recovery Network

arXiv preprint

2021

Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach

arXiv preprint

2021

Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization

arXiv preprint

2020

Deep Reinforcement Learning with Robust and Smooth Policy

arXiv preprint

2020

TEA: Temporal Excitation and Aggregation for Action Recognition

arXiv preprint

2020

SpotTune: Leveraging Transient Resources for Cost-efficient Hyper-parameter Tuning in the Public Cloud

arXiv preprint

2020

Residual Network Based Direct Synthesis of EM Structures: A Study on One-to-One Transformers

arXiv preprint

2020

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

arXiv preprint

2019

Towards Understanding the Importance of Noise in Training Neural Networks

arXiv preprint

2019

Imitating Targets from all sides: An Unsupervised Transfer Learning method for Person Re-identification

arXiv preprint

2019

Inductive Bias of Gradient Descent based Adversarial Training on Separable Data

arXiv preprint

2018

Discriminative Learning of Latent Features for Zero-Shot Recognition

arXiv preprint

2018

Mixed Supervised Object Detection with Robust Objectness Transfer

arXiv preprint

2017

Machine Learning for Survival Analysis: A Survey

arXiv preprint

2017

Solving Multi-Objective MDP with Lexicographic Preference: An application to stochastic planning with multiple quantile objective

arXiv preprint

2016

M$^2$S-Net: Multi-Modal Similarity Metric Learning based Deep Convolutional Network for Answer Selection

arXiv preprint

2016

Linear Convergence of SVRG in Statistical Estimation

arXiv preprint

2016

Skipping Word: A Character-Sequential Representation based Framework for Question Answering

arXiv preprint

DOI

2015

The Knowledge Gradient Policy Using A Sparse Additive Belief Model

arXiv preprint