← Authors

Lei Wang

178 papers · 2008–2026 · 20 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌍 Conference Polyglot (20) πŸ—ΊοΈ Taxonomy Completionist (34) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (9) πŸƒ Academic Marathon (17) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🏠 Conference Loyalist (26) 🌟 Keyword Trendsetter Combo (3) 🀝 Dynamic Duo (22) πŸ‘‘ Triple Crown πŸ† Keyword Champion πŸ† Grand Slam 🌱 Topic Pioneer πŸ”¬ Deep Specialist (24) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (14) ⚑ Prolific Year (10) πŸ’Ž Century Club (163) πŸ—ƒοΈ Keyword Collector (84) ❓ The Questioner (2)

Conferences

AAAI (32) CVPR (26) EMNLP (18) ICCV (18) NIPS (12) ACL (10) ECCV (9) COLING (8) INTERSPEECH (8) IJCAI (8) NAACL (7) ICLR (5) JMLR (4) ICML (3) EACL (2) MICCAI (2) ACML (2) OSDI (2) MIDL (1) COLT (1)

Top co-authors

Luping Zhou (23) Piotr Koniusz (12) Yinghuan Shi (11) Yang Gao (11) Xu Chen (9) Ee-Peng Lim (9) Lingqiao Liu (9) Lei Qi (8) Wenbin Li (7) Jing Huo (7)

Keywords

large language model (23) few-shot learning (12) metric learning (10) math word problem (10) attention mechanism (9) semi-supervised learning (8) generative adversarial network (6) representation learning (6) image classification (6) graph neural network (6) neural network (6) model compression (6) multi-agent system (6) image generation (5) convolutional neural network (5) contrastive learning (5) knowledge distillation (5) multi-task learning (4) sequence-to-sequence model (4) multimodal learning (4)

Papers

Feature Hallucination for Self-supervised Action Recognition (Abstract Reprint) AAAI 2026
CometNet: Contextual Motif-guided Long-term Time Series Forecasting AAAI 2026
PersonaTrace: Synthesizing Realistic Digital Footprints with LLM Agents EACL 2026
Learning Time in Static Classifiers 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
DanceHA: A Multi-Agent Framework for Document-Level Aspect-Based Sentiment Analysis AAAI 2026
HSA-Net: Hierarchical and Structure-Aware Framework for Efficient and Scalable Molecular Language Modeling AAAI 2026
Enhancing All-to-X Backdoor Attacks with Optimized Target Class Mapping 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
Dual-Channel Learning Framework for Zero-Shot CircRNA-miRNA Interaction Prediction via State Space Modeling AAAI 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
Mining the Past with Dual Criteria: Integrating Three types of Historical Information for Context-aware Event Forecasting 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
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
GenSim: A General Social Simulation Platform with Large Language Model based Agents 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
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
LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay 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
Multi-Granularity Sparse Relationship Matrix Prediction Network for End-to-End Scene Graph Generation ECCV 2024
Elegantly Written: Disentangling Writer and Character Styles for Enhancing Online Chinese Handwriting ECCV 2024
Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation OSDI 2024
Rotated Orthographic Projection for Self-Supervised 3D Human Pose Estimation 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
Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation CVPR 2024
View-decoupled Transformer for Person Re-identification under Aerial-ground Camera Network CVPR 2024
Stars Are All You Need: A Distantly Supervised Pyramid Network for Unified Sentiment Analysis EACL 2024
In-context Autoencoder for Context Compression in a Large Language Model ICLR 2024
Motion meets Attention: Video Motion Prompts ACML 2024
Counterfacual Fairness for Graph Neural Networks with Limited and Privacy Protected Sensitive Attributes ACML 2024
Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling IJCAI 2024
Enhanced Face Recognition using Intra-class Incoherence Constraint ICLR 2024
Dual Complex Number Knowledge Graph Embeddings COLING 2024
Ditto: Quantization-aware Secure Inference of Transformers upon MPC ICML 2024
Taylor Videos for Action Recognition 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
Adaptive Multi-head Contrastive Learning ECCV 2024
AUEditNet: Dual-Branch Facial Action Unit Intensity Manipulation with Implicit Disentanglement 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
MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers AAAI 2022
DC-SSL: Addressing Mismatched Class Distribution in Semi-Supervised Learning CVPR 2022
StyTr2: Image Style Transfer With Transformers CVPR 2022
Kernelized Few-Shot Object Detection With Efficient Integral Aggregation CVPR 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
Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class NIPS 2022
ASCM: An Answer Space Clustered Prompting Method without Answer Engineering ACL 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
COST-EFF: Collaborative Optimization of Spatial and Temporal Efficiency with Slenderized Multi-exit Language Models EMNLP 2022
A Speaker-Aware Co-Attention Framework for Medical Dialogue Information Extraction EMNLP 2022
Distributed Online Convex Optimization with Compressed Communication NIPS 2022
Investigating Math Word Problems using Pretrained Multilingual Language Models EMNLP 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
Domain Generalization by Learning and Removing Domain-specific Features NIPS 2022
BV-Person: A Large-Scale Dataset for Bird-View Person Re-Identification ICCV 2021
A Self-Boosting Framework for Automated Radiographic Report Generation CVPR 2021
DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation CVPR 2021
NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset EMNLP 2021
Contrastive Learning Based Hybrid Networks for Long-Tailed Image Classification CVPR 2021
LoFGAN: Fusing Local Representations for Few-Shot Image Generation ICCV 2021
Hand Image Understanding via Deep Multi-Task Learning ICCV 2021
ReDro: Efficiently Learning Large-sized SPD Visual Representation ECCV 2020
The Phonology and Phonetics of Kaifeng Mandarin Vowels INTERSPEECH 2020
How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study MIDL 2020
RiFeGAN: Rich Feature Generation for Text-to-Image Synthesis From Prior Knowledge CVPR 2020
Contribution of RMS-Level-Based Speech Segments to Target Speech Decoding Under Noisy Conditions INTERSPEECH 2020
Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation AAAI 2020
Asymmetric Distribution Measure for Few-shot Learning IJCAI 2020
Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem IJCAI 2020
Financial Thought Experiment: A GAN-based Approach to Vast Robust Portfolio Selection IJCAI 2020
Graph-to-Tree Learning for Solving Math Word Problems ACL 2020
A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification ICCV 2019
Miss Detection vs. False Alarm: Adversarial Learning for Small Object Segmentation in Infrared Images ICCV 2019
Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition With CNNs ICCV 2019
Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval AAAI 2019
Coarse-to-Fine Image Inpainting via Region-wise Convolutions and Non-Local Correlation IJCAI 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
Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions ACL 2019
Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning AAAI 2019
Template-Based Math Word Problem Solvers with Recursive Neural Networks AAAI 2019
Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning ICCV 2019
Wuxi Speakers’ Production and Perception of Coda Nasals in Mandarin INTERSPEECH 2018
Toward Better Loanword Identification in Uyghur Using Cross-lingual Word Embeddings COLING 2018
Evaluating Brush Movements for Chinese Calligraphy: A Computer Vision Based Approach IJCAI 2018
DeepKSPD: Learning Kernel-matrix-based SPD Representation for Fine-grained Image Recognition ECCV 2018
Translating a Math Word Problem to a Expression Tree EMNLP 2018
Revisiting Metric Learning for SPD Matrix Based Visual Representation CVPR 2017
Factors Affecting the Intelligibility of Low-Pass Filtered Speech INTERSPEECH 2017
Toward High-Performance Language-Independent Query-by-Example Spoken Term Detection for MediaEval 2015: Post-Evaluation Analysis INTERSPEECH 2016
Rapid Update of Multilingual Deep Neural Network for Low-Resource Keyword Search INTERSPEECH 2016
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
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
A Fast Approximate AIB Algorithm for Distributional Word Clustering CVPR 2013
Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network CVPR 2013
A Scalable Unsupervised Feature Merging Approach to Efficient Dimensionality Reduction of High-Dimensional Visual Data ICCV 2013
Improving Graph Matching via Density Maximization 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