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Wei Wang

428 papers · 2002–2026 · 22 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 86 separate collaboration groups - the largest holds only 33% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

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Which Wei Wang?

43 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Yizhou Sun, Yi Wang, Zimu Wang 143 papers · 2017–2026 · AAAI, ACL, EMNLP Hide ▲
Ambiguity-aware Truncated Flow Matching for Ambiguous Medical Image Segmentation AAAI 2026 ConstructAI: From Real-Time Safety Insight to Skill Growth in Deployed Construction AI Systems AAAI 2026 Diffusion Reconstruction-based Data Likelihood Estimation for Core-Set Selection AAAI 2026 Dynamic Generation of Multi LLM Agents Communication Topologies with Graph Diffusion Models ACL 2026 Elucidating the Design Space of Arbitrary-Noise-Based Diffusion Models CVPR 2026 Emotion and Intention Guided Multi-Modal Learning for Sticker Response Selection AAAI 2026 ICLR: Inter-Chrominance and Luminance Interaction for Natural Color Restoration in Low-Light Image Enhancement AAAI 2026 KnowLCP: Knowledge Augmented Lane Change Prediction for Autonomous Driving AAAI 2026 MambaOVSR: Multiscale Fusion with Global Motion Modeling for Chinese Opera Video Super-Resolution AAAI 2026 Narrative Nexus at SemEval-2026 Task 4: Modeling Narrative Similarity via Instruction-Based Fine-Tuning and Synthetic Data Augmentation SemEval 2026 Rethinking Token Reduction for Large Vision-Language Models CVPR 2026 RiskLab: A Controlled Toolkit for Probing Emergent Risks in LLM-Based Multi-Agent Systems ACL 2026 SLCFormer: Spectral-Local Context Transformer with Physics-Grounded Flare Synthesis for Nighttime Flare Removal AAAI 2026 SSTODE: Ocean-Atmosphere Physics-Informed Neural ODEs for Sea Surface Temperature Prediction AAAI 2026 Stop When Enough: Adaptive Early-Stopping for Chain-of-Thought Reasoning ACL 2026 Trustworthy Classification for Complex Social Surveys: A Memory-Enhanced Hierarchical Framework with Calibrated Uncertainty AAAI 2026 A Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directions ACL 2025 A Trusted Lesion-assessment Network for Interpretable Diagnosis of Coronary Artery Disease in Coronary CT Angiography AAAI 2025 AdaDHP: Fine-Grained Fine-Tuning via Dual Hadamard Product and Adaptive Parameter Selection ACL 2025 Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization ICLR 2025 CSR-Bench: Benchmarking LLM Agents in Deployment of Computer Science Research Repositories NAACL 2025 Can GRPO Boost Complex Multimodal Table Understanding? EMNLP 2025 DERI: Cross-Modal ECG Representation Learning with Deep ECG-Report Interaction IJCAI 2025 Detecting Conversational Mental Manipulation with Intent-Aware Prompting COLING 2025 Disentangle Nighttime Lens Flares: Self-supervised Generation-based Lens Flare Removal AAAI 2025 Dual-View Interaction-Aware Lane Change Prediction for Autonomous Driving AAAI 2025 ECG2TOK: ECG Pre-Training with Self-Distillation Semantic Tokenizers IJCAI 2025 Enhancing Vision-Language Models with Morphological and Taxonomic Knowledge: Towards Coral Recognition for Ocean Health AAAI 2025 FinDebate: Multi-Agent Collaborative Intelligence for Financial Analysis EMNLP 2025 Finding Local Diffusion Schrodinger Bridge using Kolmogorov-Arnold Network CVPR 2025 From Posts to Timelines: Modeling Mental Health Dynamics from Social Media Timelines with Hybrid LLMs NAACL 2025 GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation ICML 2025 How Do Large Language Models Perform on PDE Discovery: A Coarse-to-fine Perspective EMNLP 2025 HyperTrans: Efficient Hypergraph-Driven Cross-Domain Pattern Transfer in Image Anomaly Detection IJCAI 2025 Inferring from Logits: Exploring Best Practices for Decoding-Free Generative Candidate Selection ACL 2025 Influence-Guided Diffusion for Dataset Distillation ICLR 2025 Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction ACL 2025 Learning Robust Image Watermarking with Lossless Cover Recovery ICCV 2025 Lost in Pronunciation: Detecting Chinese Offensive Language Disguised by Phonetic Cloaking Replacement EMNLP 2025 MedFact: A Large-scale Chinese Dataset for Evidence-based Medical Fact-checking of LLM Responses EMNLP 2025 Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction AAAI 2025 MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design NAACL 2025 Mixture of In-Context Prompters for Tabular PFNs ICLR 2025 Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning AAAI 2025 NUMINA: A Natural Understanding Benchmark for Multi-dimensional Intelligence and Numerical Reasoning Abilities EMNLP 2025 OVG-HQ: Online Video Grounding with Hybrid-modal Queries ICCV 2025 PUER: Boosting Few-shot Positive-Unlabeled Entity Resolution with Reinforcement Learning EMNLP 2025 Protein Large Language Models: A Comprehensive Survey EMNLP 2025 Rethink GraphODE Generalization within Coupled Dynamical System ICML 2025 Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction MICCAI 2025 Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation AAAI 2025 Towards Better Robustness Against Natural Corruptions in Document Tampering Localization AAAI 2025 When Evolution Strategy Meets Language Models Tuning COLING 2025 XCotton: Advancing AI-Enabled Hardware/Software Integrated System for Foreign Fiber Cleaning AAAI 2025 A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery EMNLP 2024 DCV2I: A Practical Approach for Supporting Geographers’ Visual Interpretation in Dune Segmentation with Deep Vision Models AAAI 2024 DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness SemEval 2024 Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational Approach EMNLP 2024 Delving into Adversarial Robustness on Document Tampering Localization ECCV 2024 Depression Detection via Capsule Networks with Contrastive Learning AAAI 2024 Document-level Causal Relation Extraction with Knowledge-guided Binary Question Answering EMNLP 2024 Enhancing Large Vision Language Models with Self-Training on Image Comprehension NeurIPS 2024 Event Detection from Social Media for Epidemic Prediction NAACL 2024 FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models ACL 2024 GraphVis: Boosting LLMs with Visual Knowledge Graph Integration NeurIPS 2024 Improving Event Definition Following For Zero-Shot Event Detection ACL 2024 IterAlign: Iterative Constitutional Alignment of Large Language Models NAACL 2024 Knowledge Distillation from Monolingual to Multilingual Models for Intelligent and Interpretable Multilingual Emotion Detection ACL 2024 Large Language Models Can Be Contextual Privacy Protection Learners EMNLP 2024 Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks ICLR 2024 Learning to Edit: Aligning LLMs with Knowledge Editing ACL 2024 Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing AAAI 2024 MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways AAAI 2024 MathAttack: Attacking Large Language Models towards Math Solving Ability AAAI 2024 MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering ACL 2024 Mitigating Bias for Question Answering Models by Tracking Bias Influence NAACL 2024 Non-Euclidean Mixture Model for Social Network Embedding NeurIPS 2024 Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling NeurIPS 2024 Revealing COVID-19’s Social Dynamics: Diachronic Semantic Analysis of Vaccine and Symptom Discourse on Twitter EMNLP 2024 SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness EMNLP 2024 STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models AAAI 2024 SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models ICML 2024 Spatio-temporal Contrast Network for Data-efficient Learning of Coronary Artery Disease in Coronary CT Angiography MICCAI 2024 Stock Price Prediction with Sentiment Analysis for Chinese Market COLING 2024 The PGNSC Benchmark: How Do We Predict Where Information Spreads? ACL 2024 Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation CVPR 2023 Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors IJCAI 2023 Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs ACL 2023 DICE: Data-Efficient Clinical Event Extraction with Generative Models ACL 2023 From Generation to Suppression: Towards Effective Irregular Glow Removal for Nighttime Visibility Enhancement IJCAI 2023 Global and Local Hierarchy-aware Contrastive Framework for Implicit Discourse Relation Recognition ACL 2023 Graph-based Molecular Representation Learning IJCAI 2023 Introducing Semantics into Speech Encoders ACL 2023 LEA2: A Lightweight Ensemble Adversarial Attack via Non-overlapping Vulnerable Frequency Regions ICCV 2023 Learning by Analogy: Diverse Questions Generation in Math Word Problem ACL 2023 Learning under Label Proportions for Text Classification EMNLP 2023 Lion: Adversarial Distillation of Proprietary Large Language Models EMNLP 2023 Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making ACL 2023 OPRADI: Applying Security Game to Fight Drive under the Influence in Real-World AAAI 2023 Pixel Is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection AAAI 2023 Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning AAAI 2023 Prompt-based Zero-shot Text Classification with Conceptual Knowledge ACL 2023 Universality and Limitations of Prompt Tuning NeurIPS 2023 Content-Variant Reference Image Quality Assessment via Knowledge Distillation AAAI 2022 Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning EMNLP 2022 MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction ACL 2022 Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment ACL 2022 Towards Fine-Grained Reasoning for Fake News Detection AAAI 2022 Adversarial Defence by Diversified Simultaneous Training of Deep Ensembles AAAI 2021 Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference AAAI 2021 GLSearch: Maximum Common Subgraph Detection via Learning to Search ICML 2021 Improving the Efficiency and Effectiveness for BERT-based Entity Resolution AAAI 2021 Is Each Layer Non-trivial in CNN? (Student Abstract) AAAI 2021 KS-GNN: Keywords Search over Incomplete Graphs via Graphs Neural Network NeurIPS 2021 Powering Comparative Classification with Sentiment Analysis via Domain Adaptive Knowledge Transfer EMNLP 2021 Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction EMNLP 2021 Sent2Span: Span Detection for PICO Extraction in the Biomedical Text without Span Annotations EMNLP 2021 Towards Robustness of Deep Neural Networks via Regularization ICCV 2021 Two-Stream Convolution Augmented Transformer for Human Activity Recognition AAAI 2021 Unsupervised Real-World Super-Resolution: A Domain Adaptation Perspective ICCV 2021 A Recurrent Model for Collective Entity Linking with Adaptive Features AAAI 2020 Fine-Grained Named Entity Typing over Distantly Supervised Data Based on Refined Representations AAAI 2020 GraphER: Token-Centric Entity Resolution with Graph Convolutional Neural Networks AAAI 2020 HAMNER: Headword Amplified Multi-Span Distantly Supervised Method for Domain Specific Named Entity Recognition AAAI 2020 Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations NeurIPS 2020 Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching AAAI 2020 Long Document Ranking with Query-Directed Sparse Transformer EMNLP 2020 Recursively Binary Modification Model for Nested Named Entity Recognition AAAI 2020 Robust Graph Representation Learning via Neural Sparsification ICML 2020 “The Boating Store Had Its Best Sail Ever”: Pronunciation-attentive Contextualized Pun Recognition ACL 2020 Antonym-Synonym Classification Based on New Sub-Space Embeddings AAAI 2019 Enhancing Air Quality Prediction with Social Media and Natural Language Processing ACL 2019 How to Best Use Syntax in Semantic Role Labelling ACL 2019 Joint Multi-Label Attention Networks for Social Text Annotation NAACL 2019 Jointly Extracting Multiple Triplets with Multilayer Translation Constraints AAAI 2019 Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification EMNLP 2019 Model-Agnostic Adversarial Detection by Random Perturbations IJCAI 2019 Personalized Question Routing via Heterogeneous Network Embedding AAAI 2019 Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity IJCAI 2019 An Adaptive Hierarchical Compositional Model for Phrase Embedding IJCAI 2018 Learning Gender-Neutral Word Embeddings EMNLP 2018 Learning to Disentangle Interleaved Conversational Threads with a Siamese Hierarchical Network and Similarity Ranking NAACL 2018 Link Prediction with Spatial and Temporal Consistency in Dynamic Networks IJCAI 2017
43 papers whose co-authors appear nowhere else under this name
CoordAR: One-Reference 6D Pose Estimation of Novel Objects via Autoregressive Coordinate Map Generation AAAI 2026 EEGiT: Teaching Vision Transformers to Understand the EEG signal CVPR 2026 MPA: Multimodal Prototype Augmentation for Few-Shot Learning AAAI 2026 Mind the Gap: The Divergence Between Human and LLM-Generated Tasks AAAI 2026 Modeling Spatiotemporal Neural Frames for High Resolution Brain Dynamic CVPR 2026 Physics-Consistent Diffusion for Efficient Fluid Super-Resolution via Multiscale Residual Correction CVPR 2026 Arbitrary Reading Order Scene Text Spotter with Local Semantics Guidance AAAI 2025 ComRAG: Retrieval-Augmented Generation with Dynamic Vector Stores for Real-time Community Question Answering in Industry ACL 2025 DatawiseAgent: A Notebook-Centric LLM Agent Framework for Adaptive and Robust Data Science Automation EMNLP 2025 Detoxifying Large Language Models via the Diversity of Toxic Samples EMNLP 2025 IntelliCockpitBench: A Comprehensive Benchmark to Evaluate VLMs for Intelligent Cockpit ACL 2025 MetricEmbedding: Accelerate Metric Nearness by Tropical Inner Product ICML 2025 MutationGuard: A Graph and Temporal-Spatial Neural Method for Detecting Mutation Telecommunication Fraud IJCAI 2025 Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis AAAI 2025 Q-Eval-100K: Evaluating Visual Quality and Alignment Level for Text-to-Vision Content CVPR 2025 SdalsNet: Self-Distilled Attention Localization and Shift Network for Unsupervised Camouflaged Object Detection AAAI 2025 Security Attacks on LLM-based Code Completion Tools AAAI 2025 UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation MICCAI 2025 A Unified Environmental Network for Pedestrian Trajectory Prediction AAAI 2024 AutoSketch: Automatic Sketch-Oriented Compiler for Query-driven Network Telemetry NSDI 2024 LSSNet: A Method for Colon Polyp Segmentation Based on Local Feature Supplementation and Shallow Feature Supplementation MICCAI 2024 Proving Olympiad Algebraic Inequalities without Human Demonstrations NeurIPS 2024 Stealth edits to large language models NeurIPS 2024 D-IF: Uncertainty-aware Human Digitization via Implicit Distribution Field ICCV 2023 FLASH: Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning NSDI 2023 Following the Data, Not the Function: Rethinking Function Orchestration in Serverless Computing NSDI 2023 HypLiLoc: Towards Effective LiDAR Pose Regression With Hyperbolic Fusion CVPR 2023 Deep Representation Debiasing via Mutual Information Minimization and Maximization (Student Abstract) AAAI 2022 Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution Classes AAAI 2022 Multi-Grained Knowledge Distillation for Named Entity Recognition NAACL 2021 Self-supervised and Supervised Joint Training for Resource-rich Machine Translation ICML 2021 Semantic Data Augmentation for End-to-End Mandarin Speech Recognition Interspeech 2021 Dynamic Malware Analysis with Feature Engineering and Feature Learning AAAI 2020 ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System AAAI 2020 One-Shot Image Classification by Learning to Restore Prototypes AAAI 2020 CFSNet: Toward a Controllable Feature Space for Image Restoration ICCV 2019 Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution Machine AAAI 2019 Learn Smart with Less: Building Better Online Decision Trees with Fewer Training Examples IJCAI 2019 Interactions between Vowels and Nasal Codas in Mandarin Speakers’ Perception of Nasal Finals Interspeech 2018 Group Sparsity and Geometry Constrained Dictionary Learning for Action Recognition from Depth Maps ICCV 2013 Implicit Feature Detection via a Constrained Topic Model and SVM EMNLP 2013 Community Answer Summarization for Multi-Sentence Question with Group L1 Regularization ACL 2012 A Semi-Supervised Key Phrase Extraction Approach: Learning from Title Phrases through a Document Semantic Network ACL 2010