Lei Wang

Feature Hallucination for Self-supervised Action Recognition (Abstract Reprint) AAAI 2026 PersonaTrace: Synthesizing Realistic Digital Footprints with LLM Agents EACL 2026 CometNet: Contextual Motif-guided Long-term Time Series Forecasting AAAI 2026 Enhancing All-to-X Backdoor Attacks with Optimized Target Class Mapping AAAI 2026 M3UCD: A Multi-task Multimodal Metaphor Understanding Challenge Dataset for LLMs AAAI 2026 Beyond Tokens: Dynamic Latent Reasoning via Semantic Residual Refinement AAAI 2026 Dual-Channel Learning Framework for Zero-Shot CircRNA-miRNA Interaction Prediction via State Space Modeling AAAI 2026 DanceHA: A Multi-Agent Framework for Document-Level Aspect-Based Sentiment Analysis AAAI 2026 Learning Time in Static Classifiers AAAI 2026 TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding AAAI 2026 FedALT: Federated Fine-Tuning Through Adaptive Local Training with Rest-of-World LoRA AAAI 2026 ReFINE: A Reward-Based Framework for Interpretable and Nuanced Evaluation of Radiology Report Generation AAAI 2026 AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection AAAI 2026 RAPTOR: Real-Time High-Resolution UAV Video Prediction with Efficient Video Attention AAAI 2026 HSA-Net: Hierarchical and Structure-Aware Framework for Efficient and Scalable Molecular Language Modeling AAAI 2026 BTC-LLM: Efficient Sub-1-Bit LLM Quantization via Learnable Transformation and Binary Codebook ACL 2026 PipeThreader: Software-Defined Pipelining for Efficient DNN Execution OSDI 2025 Dynamic Multi-Layer Null Space Projection for Vision-Language Continual Learning ICCV 2025 LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement ICCV 2025 Fair Text-Attributed Graph Representation Learning EMNLP 2025 Beyond Inherent Cognition Biases in LLM-Based Event Forecasting: A Multi-Cognition Agentic Framework EMNLP 2025 ChartMind: A Comprehensive Benchmark for Complex Real-world Multimodal Chart Question Answering EMNLP 2025 TableEval: A Real-World Benchmark for Complex, Multilingual, and Multi-Structured Table Question Answering EMNLP 2025 Mining the Past with Dual Criteria: Integrating Three types of Historical Information for Context-aware Event Forecasting EMNLP 2025 Attention-Driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models Without Fine-Tuning AAAI 2025 Investigating and Extending Homans’ Social Exchange Theory with Large Language Model based Agents ACL 2025 QDTSynth: Quality-Driven Formal Theorem Synthesis for Enhancing Proving Performance of LLMs ACL 2025 From Observation to Understanding: Front-Door Adjustments with Uncertainty Calibration for Enhancing Egocentric Reasoning in LVLMs ACL 2025 UnrealLLM: Towards Highly Controllable and Interactable 3D Scene Generation by LLM-powered Procedural Content Generation ACL 2025 DiaLLMs: EHR-Enhanced Clinical Conversational System for Clinical Test Recommendation and Diagnosis Prediction ACL 2025 TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System NAACL 2025 Fusion meets Function: The Adaptive Selection-Generation Approach in Event Argument Extraction COLING 2025 OpenForecast: A Large-Scale Open-Ended Event Forecasting Dataset COLING 2025 Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs COLING 2025 Low-Resource Language Expansion and Translation Capacity Enhancement for LLM: A Study on the Uyghur COLING 2025 UCTG: A Unified Controllable Text Generation Framework for Query Auto-Completion COLING 2025 GenSim: A General Social Simulation Platform with Large Language Model based Agents NAACL 2025 CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds NAACL 2025 Improving Retrospective Language Agents via Joint Policy Gradient Optimization NAACL 2025 Optimal subsampling for high-dimensional partially linear models via machine learning methods JMLR 2025 BitNet: 1-bit Pre-training for Large Language Models JMLR 2025 A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds JMLR 2025 Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics IJCAI 2025 Kona: An Efficient Privacy-Preservation Framework for KNN Classification by Communication Optimization ICML 2025 Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration CVPR 2025 Text-Driven Fashion Image Editing with Compositional Concept Learning and Counterfactual Abduction CVPR 2025 Not All Parameters Matter: Masking Diffusion Models for Enhancing Generation Ability CVPR 2025 One-Way Ticket: Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models CVPR 2025 Correlative and Discriminative Label Grouping for Multi-Label Visual Prompt Tuning CVPR 2025 Visual Representation Learning through Causal Intervention for Controllable Image Editing CVPR 2025 ThinK: Thinner Key Cache by Query-Driven Pruning ICLR 2025 MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents ICLR 2025 Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion ICLR 2025 Compensate Quantization Errors: Make Weights Hierarchical to Compensate Each Other NAACL 2024 The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation NAACL 2024 The Overlooked Repetitive Lengthening Form in Sentiment Analysis EMNLP 2024 S2WAT: Image Style Transfer via Hierarchical Vision Transformer Using Strips Window Attention AAAI 2024 Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning AAAI 2024 T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Large Language Model Signals for Science Question Answering AAAI 2024 Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework AAAI 2024 MRScore: Evaluating Medical Report with LLM-based Reward System MICCAI 2024 LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay EMNLP 2024 In-context Autoencoder for Context Compression in a Large Language Model ICLR 2024 Adaptive Multi-head Contrastive Learning ECCV 2024 Multi-Granularity Sparse Relationship Matrix Prediction Network for End-to-End Scene Graph Generation ECCV 2024 NUMCoT: Numerals and Units of Measurement in Chain-of-Thought Reasoning using Large Language Models ACL 2024 KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models MICCAI 2024 View-decoupled Transformer for Person Re-identification under Aerial-ground Camera Network CVPR 2024 Elegantly Written: Disentangling Writer and Character Styles for Enhancing Online Chinese Handwriting ECCV 2024 Enhanced Face Recognition using Intra-class Incoherence Constraint ICLR 2024 Stars Are All You Need: A Distantly Supervised Pyramid Network for Unified Sentiment Analysis EACL 2024 Motion meets Attention: Video Motion Prompts ACML 2024 Counterfacual Fairness for Graph Neural Networks with Limited and Privacy Protected Sensitive Attributes ACML 2024 Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation OSDI 2024 Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling IJCAI 2024 Dual Complex Number Knowledge Graph Embeddings COLING 2024 Taylor Videos for Action Recognition ICML 2024 Ditto: Quantization-aware Secure Inference of Transformers upon MPC ICML 2024 Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains NIPS 2024 Advancing Video Anomaly Detection: A Concise Review and a New Dataset NIPS 2024 Reflective Multi-Agent Collaboration based on Large Language Models NIPS 2024 Rotated Orthographic Projection for Self-Supervised 3D Human Pose Estimation ECCV 2024 AUEditNet: Dual-Branch Facial Action Unit Intensity Manipulation with Implicit Disentanglement CVPR 2024 Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation CVPR 2024 AEC-GAN: Adversarial Error Correction GANs for Auto-Regressive Long Time-Series Generation AAAI 2023 REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths NIPS 2023 Online PCA in Converging Self-consistent Field Equations NIPS 2023 Learning to Generate an Unbiased Scene Graph by Using Attribute-Guided Predicate Features AAAI 2023 Alignment-Enriched Tuning for Patch-Level Pre-trained Document Image Models AAAI 2023 Reject Decoding via Language-Vision Models for Text-to-Image Synthesis AAAI 2023 High-Level Semantic Feature Matters Few-Shot Unsupervised Domain Adaptation AAAI 2023 Generalizing Math Word Problem Solvers via Solution Diversification AAAI 2023 Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models ACL 2023 METransformer: Radiology Report Generation by Transformer With Multiple Learnable Expert Tokens CVPR 2023 Learning Partial Correlation Based Deep Visual Representation for Image Classification CVPR 2023 3Mformer: Multi-Order Multi-Mode Transformer for Skeletal Action Recognition CVPR 2023 ReDirTrans: Latent-to-Latent Translation for Gaze and Head Redirection CVPR 2023 Non-Autoregressive Math Word Problem Solver with Unified Tree Structure EMNLP 2023 Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation EMNLP 2023 LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models EMNLP 2023 LLM4Vis: Explainable Visualization Recommendation using ChatGPT EMNLP 2023 R3 Prompting: Review, Rephrase and Resolve for Chain-of-Thought Reasoning in Large Language Models under Noisy Context EMNLP 2023 Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction EMNLP 2023 Learning Spatial-context-aware Global Visual Feature Representation for Instance Image Retrieval ICCV 2023 Regularized Primitive Graph Learning for Unified Vector Mapping ICCV 2023 Towards Semi-supervised Learning with Non-random Missing Labels ICCV 2023 Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning ICCV 2023 Hierarchical Spatio-Temporal Representation Learning for Gait Recognition ICCV 2023 ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction ICCV 2023 DoubleDeceiver: Deceiving the Speaker Verification System Protected by Spoofing Countermeasures INTERSPEECH 2023 ASCM: An Answer Space Clustered Prompting Method without Answer Engineering ACL 2022 DC-SSL: Addressing Mismatched Class Distribution in Semi-Supervised Learning CVPR 2022 StyTr2: Image Style Transfer With Transformers CVPR 2022 RotateCT: Knowledge Graph Embedding by Rotation and Coordinate Transformation in Complex Space COLING 2022 MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving NAACL 2022 Investigating Math Word Problems using Pretrained Multilingual Language Models EMNLP 2022 Distributed Online Convex Optimization with Compressed Communication NIPS 2022 Domain Generalization by Learning and Removing Domain-specific Features NIPS 2022 Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class NIPS 2022 FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross-Sectional Stock Returns AAAI 2022 LaSSL: Label-Guided Self-Training for Semi-supervised Learning AAAI 2022 COST-EFF: Collaborative Optimization of Spatial and Temporal Efficiency with Slenderized Multi-exit Language Models EMNLP 2022 Kernelized Few-Shot Object Detection With Efficient Integral Aggregation CVPR 2022 MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers AAAI 2022 RDA: Reciprocal Distribution Alignment for Robust Semi-Supervised Learning ECCV 2022 Uncertainty-DTW for Time Series and Sequences ECCV 2022 Time-rEversed diffusioN tEnsor Transformer: A New TENET of Few-Shot Object Detection ECCV 2022 A Speaker-Aware Co-Attention Framework for Medical Dialogue Information Extraction EMNLP 2022 Hand Image Understanding via Deep Multi-Task Learning ICCV 2021 DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation CVPR 2021 A Self-Boosting Framework for Automated Radiographic Report Generation CVPR 2021 LoFGAN: Fusing Local Representations for Few-Shot Image Generation ICCV 2021 NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset EMNLP 2021 Contrastive Learning Based Hybrid Networks for Long-Tailed Image Classification CVPR 2021 BV-Person: A Large-Scale Dataset for Bird-View Person Re-Identification ICCV 2021 Financial Thought Experiment: A GAN-based Approach to Vast Robust Portfolio Selection IJCAI 2020 ReDro: Efficiently Learning Large-sized SPD Visual Representation ECCV 2020 Asymmetric Distribution Measure for Few-shot Learning IJCAI 2020 Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem IJCAI 2020 Contribution of RMS-Level-Based Speech Segments to Target Speech Decoding Under Noisy Conditions INTERSPEECH 2020 The Phonology and Phonetics of Kaifeng Mandarin Vowels INTERSPEECH 2020 RiFeGAN: Rich Feature Generation for Text-to-Image Synthesis From Prior Knowledge CVPR 2020 How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study MIDL 2020 Graph-to-Tree Learning for Solving Math Word Problems ACL 2020 Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation AAAI 2020 Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions ACL 2019 A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification ICCV 2019 Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval AAAI 2019 Miss Detection vs. False Alarm: Adversarial Learning for Small Object Segmentation in Infrared Images ICCV 2019 Coarse-to-Fine Image Inpainting via Region-wise Convolutions and Non-Local Correlation IJCAI 2019 Template-Based Math Word Problem Solvers with Recursive Neural Networks AAAI 2019 Graph Attention Convolution for Point Cloud Semantic Segmentation CVPR 2019 Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning CVPR 2019 Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning AAAI 2019 Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition With CNNs ICCV 2019 Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning ICCV 2019 DeepKSPD: Learning Kernel-matrix-based SPD Representation for Fine-grained Image Recognition ECCV 2018 Evaluating Brush Movements for Chinese Calligraphy: A Computer Vision Based Approach IJCAI 2018 Toward Better Loanword Identification in Uyghur Using Cross-lingual Word Embeddings COLING 2018 Translating a Math Word Problem to a Expression Tree EMNLP 2018 Wuxi Speakers’ Production and Perception of Coda Nasals in Mandarin INTERSPEECH 2018 Revisiting Metric Learning for SPD Matrix Based Visual Representation CVPR 2017 Factors Affecting the Intelligibility of Low-Pass Filtered Speech INTERSPEECH 2017 Multiple Kernel Clustering with Local Kernel Alignment Maximization IJCAI 2016 Relative Contributions of Amplitude and Phase to the Intelligibility Advantage of Ideal Binary Masked Sentences INTERSPEECH 2016 Rapid Update of Multilingual Deep Neural Network for Low-Resource Keyword Search INTERSPEECH 2016 Toward High-Performance Language-Independent Query-by-Example Spoken Term Detection for MediaEval 2015: Post-Evaluation Analysis INTERSPEECH 2016 Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question NIPS 2015 Beyond Covariance: Feature Representation With Nonlinear Kernel Matrices ICCV 2015 Discriminative Sparse Inverse Covariance Matrix: Application in Brain Functional Network Classification CVPR 2014 Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors NIPS 2014 Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network CVPR 2013 A Fast Approximate AIB Algorithm for Distributional Word Clustering CVPR 2013 Improving Graph Matching via Density Maximization ICCV 2013 A Scalable Unsupervised Feature Merging Approach to Efficient Dimensionality Reduction of High-Dimensional Visual Data ICCV 2013 Positive Semidefinite Metric Learning Using Boosting-like Algorithms JMLR 2012 Learning Valuation Functions COLT 2012 Positive Semidefinite Metric Learning with Boosting NIPS 2009 PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning NIPS 2008