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Meng Wang

146 papers · 2009–2026 · 16 conferences · across top CS/AI conferences

Achievements

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+18 more ↓ πŸ—ΊοΈ Taxonomy Completionist (21) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (6) 🐣 Hot Topic Early Bird
🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (15) 🏠 Conference Loyalist (25) 🌟 Keyword Trendsetter Combo (3) 🀝 Dynamic Duo (21) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (18) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ”₯ Unstoppable (8) ⚑ Prolific Year (19) ❓ The Questioner (5) πŸ’Ž Century Club (136) πŸ—ƒοΈ Keyword Collector (544) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer

Conferences

AAAI (32) CVPR (31) IJCAI (20) ICML (13) ICCV (10) ICLR (9) ECCV (8) NIPS (6) ACL (5) EMNLP (3) MICCAI (3) INTERSPEECH (2) COLING (1) IJCNLP (1) MIDL (1) WACV (1)

Research topics

Papers

Benchmarking Trustworthiness in Multimodal LLMs for Video Understanding AAAI 2026 RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation AAAI 2026 FilmWeaver: Weaving Consistent Multi-Shot Videos with Cache-Guided Autoregressive Diffusion AAAI 2026 AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection AAAI 2026 Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing AAAI 2026 Sparse-Scale Transformer with Bidirectional Awareness for Time Series Forecasting AAAI 2026 ODL-TempLLM: Ontology-Guided and Description Logic-Reasoned Temporal Reasoning with LLMs ACL 2026 A-ADAPT: Adaptive Intracranial Artery Segmentation with Morphology-Guided Prompts and Difficulty-Aware Learning MIDL 2026 Psyche-R1: Towards Reliable Psychological LLMs through Unified Empathy, Expertise, and Reasoning ACL 2026 Semantic Alignment of Malicious Question Based on Contrastive Semantic Networks and Data Augmentation (Abstract Reprint) AAAI 2026 Fairness-Aware vCDR-Controlled Generation for Glaucoma Diagnosis MICCAI 2025 From End-to-end to Step-by-step: Learning to Abstract via Abductive Reinforcement Learning IJCAI 2025 Towards Micro-Action Recognition with Limited Annotations: An Asynchronous Pseudo Labeling and Training Approach IJCAI 2025 Knowledge Swapping via Learning and Unlearning ICML 2025 Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning ICML 2025 MOL-Mamba: Enhancing Molecular Representation with Structural & Electronic Insights AAAI 2025 Prototypical Calibrating Ambiguous Samples for Micro-Action Recognition AAAI 2025 PhysDiff: Physiology-based Dynamicity Disentangled Diffusion Model for Remote Physiological Measurement AAAI 2025 FakeDiffer: Distributional Disparity Learning on Differentiated Reconstruction for Face Forgery Detection AAAI 2025 VLScene: Vision-Language Guidance Distillation for Camera-Based 3D Semantic Scene Completion AAAI 2025 Thinking in Granularity: Dynamic Quantization for Image Super-Resolution by Intriguing Multi-Granularity Clues AAAI 2025 Cognitive Bias and Reassignment: Who Can Contribute High Quality LLM Data AAAI 2025 Bi-perspective Splitting Defense: Achieving Clean-Seed-Free Backdoor Security ICML 2025 TASAR: Transfer-based Attack on Skeletal Action Recognition ICLR 2025 Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis ICLR 2025 Precise Localization of Memories: A Fine-grained Neuron-level Knowledge Editing Technique for LLMs ICLR 2025 When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers ICLR 2025 Feedback Favors the Generalization of Neural ODEs ICLR 2025 Boosting Adversarial Transferability via Residual Perturbation Attack ICCV 2025 An Information-Theoretic Regularizer for Lossy Neural Image Compression ICCV 2025 DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model ICCV 2025 MMAD: Multi-label Micro-Action Detection in Videos ICCV 2025 GT-Mean Loss: A Simple Yet Effective Solution for Brightness Mismatch in Low-Light Image Enhancement ICCV 2025 SMoLoRA: Exploring and Defying Dual Catastrophic Forgetting in Continual Visual Instruction Tuning ICCV 2025 Towards Efficient General Feature Prediction in Masked Skeleton Modeling ICCV 2025 Visual-Oriented Fine-Grained Knowledge Editing for MultiModal Large Language Models ICCV 2025 Towards Open-Vocabulary Audio-Visual Event Localization CVPR 2025 EgoTextVQA: Towards Egocentric Scene-Text Aware Video Question Answering CVPR 2025 ASAP: Advancing Semantic Alignment Promotes Multi-Modal Manipulation Detecting and Grounding CVPR 2025 Revisiting Audio-Visual Segmentation with Vision-Centric Transformer CVPR 2025 Vision-Language Model IP Protection via Prompt-based Learning CVPR 2025 RIFNet: Bridging Modalities for Accurate and Detailed Ocular Disease Analysis MICCAI 2025 Parameterized Diffusion Optimization enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading MICCAI 2025 Training A Small Emotional Vision Language Model for Visual Art Comprehension ECCV 2024 FasMe: Fast and Sample-efficient Meta Estimator for Precision Matrix Learning in Small Sample Settings NIPS 2024 Temporal Sentence Grounding with Relevance Feedback in Videos NIPS 2024 Object-Aware Adaptive-Positivity Learning for Audio-Visual Question Answering AAAI 2024 KPA-Tracker: Towards Robust and Real-Time Category-Level Articulated Object 6D Pose Tracking AAAI 2024 EulerMormer: Robust Eulerian Motion Magnification via Dynamic Filtering within Transformer AAAI 2024 A Dual-Way Enhanced Framework from Text Matching Point of View for Multimodal Entity Linking AAAI 2024 Finding and Editing Multi-Modal Neurons in Pre-Trained Transformers ACL 2024 Data-Free Quantization via Pseudo-label Filtering CVPR 2024 Frequency Decoupling for Motion Magnification via Multi-Level Isomorphic Architecture CVPR 2024 Learning Dynamic Tetrahedra for High-Quality Talking Head Synthesis CVPR 2024 Structure Matters: Tackling the Semantic Discrepancy in Diffusion Models for Image Inpainting CVPR 2024 Label-anticipated Event Disentanglement for Audio-Visual Video Parsing ECCV 2024 StyleTokenizer: Defining Image Style by a Single Instance for Controlling Diffusion Models ECCV 2024 Knowledge-augmented Financial Market Analysis and Report Generation EMNLP 2024 A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts ICML 2024 How Do Nonlinear Transformers Learn and Generalize in In-Context Learning? ICML 2024 What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding ICML 2024 Revisiting the Power of Prompt for Visual Tuning ICML 2024 Adaptive Group Personalization for Federated Mutual Transfer Learning ICML 2024 SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning ICML 2024 OSIC: A New One-Stage Image Captioner Coined IJCAI 2024 Towards Proactive Interactions for In-Vehicle Conversational Assistants Utilizing Large Language Models IJCAI 2024 Disentangling Cognitive Diagnosis with Limited Exercise Labels NIPS 2023 Prompting Large Language Models With Answer Heuristics for Knowledge-Based Visual Question Answering CVPR 2023 MCL: Multi-Granularity Contrastive Learning Framework for Chinese NER AAAI 2023 Rethinking Data-Free Quantization as a Zero-Sum Game AAAI 2023 Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection CVPR 2023 Multi-mode Neural Speech Coding Based on Deep Generative Networks INTERSPEECH 2023 DC-Former: Diverse and Compact Transformer for Person Re-identification AAAI 2023 Fair Representation Learning for Recommendation: A Mutual Information Perspective AAAI 2023 On the Convergence and Sample Complexity Analysis of Deep Q-Networks with $\epsilon$-Greedy Exploration NIPS 2023 Towards Efficient Pre-Trained Language Model via Feature Correlation Distillation NIPS 2023 Harnessing Unrecognizable Faces for Improving Face Recognition WACV 2023 A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity ICLR 2023 Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks ICLR 2023 EmotionNAS: Two-stream Neural Architecture Search for Speech Emotion Recognition INTERSPEECH 2023 LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes CVPR 2023 Adaptive Data-Free Quantization CVPR 2023 Fine-Grained Audible Video Description CVPR 2023 Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks ICML 2023 Domain Generalized Stereo Matching via Hierarchical Visual Transformation CVPR 2023 How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis ICLR 2022 Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling ICML 2022 Switchable Online Knowledge Distillation ECCV 2022 Audioβ€”Visual Segmentation ECCV 2022 Multi-modal Contrastive Representation Learning for Entity Alignment COLING 2022 A Difference Standardization Method for Mutual Transfer Learning ICML 2022 Deep Color Consistent Network for Low-Light Image Enhancement CVPR 2022 Width & Depth Pruning for Vision Transformers AAAI 2022 Motion Prediction Using Trajectory Cues ICCV 2021 Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning AAAI 2021 Discrimination-Aware Mechanism for Fine-Grained Representation Learning CVPR 2021 Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching AAAI 2021 Partial-Label and Structure-constrained Deep Coupled Factorization Network AAAI 2021 On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning ICLR 2021 Proposal-Free Video Grounding with Contextual Pyramid Network AAAI 2021 Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks NIPS 2021 Positive Sample Propagation Along the Audio-Visual Event Line CVPR 2021 Positive-Congruent Training: Towards Regression-Free Model Updates CVPR 2021 Reward-Constrained Behavior Cloning IJCAI 2021 Single View Physical Distance Estimation Using Human Pose ICCV 2021 Large-Scale Few-Shot Learning via Multi-Modal Knowledge Discovery ECCV 2020 Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases ECCV 2020 Feature Pyramid Transformer ECCV 2020 Iterative Context-Aware Graph Inference for Visual Dialog CVPR 2020 Enhanced Blind Face Restoration With Multi-Exemplar Images and Adaptive Spatial Feature Fusion CVPR 2020 More Grounded Image Captioning by Distilling Image-Text Matching Model CVPR 2020 Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case ICML 2020 Generative Adversarial Imitation Learning from Failed Experiences (Student Abstract) AAAI 2020 One-Shot Learning for Long-Tail Visual Relation Detection AAAI 2020 Learning to Match on Graph for Fashion Compatibility Modeling AAAI 2020 Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach AAAI 2020 Learning to Discretely Compose Reasoning Module Networks for Video Captioning IJCAI 2020 Multi-Scale Spatial-Temporal Integration Convolutional Tube for Human Action Recognition IJCAI 2020 Unsupervised Vehicle Re-identification with Progressive Adaptation IJCAI 2020 Recurrent Relational Memory Network for Unsupervised Image Captioning IJCAI 2020 Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables IJCAI 2020 Detail-recovery Image Deraining via Context Aggregation Networks CVPR 2020 Approximate Optimal Transport for Continuous Densities with Copulas IJCAI 2019 Dual Visual Attention Network for Visual Dialog IJCAI 2019 Connectionist Temporal Modeling of Video and Language: a Joint Model for Translation and Sign Labeling IJCAI 2019 Dense Temporal Convolution Network for Sign Language Translation IJCAI 2019 Adaptive Transfer Network for Cross-Domain Person Re-Identification CVPR 2019 ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis CVPR 2019 TransNFCM: Translation-Based Neural Fashion Compatibility Modeling AAAI 2019 Graphonomy: Universal Human Parsing via Graph Transfer Learning CVPR 2019 Personalized Multimedia Item and Key Frame Recommendation IJCAI 2019 Multi-Cue Correlation Filters for Robust Visual Tracking CVPR 2018 Fine-grained Image Classification by Visual-Semantic Embedding IJCAI 2018 Empirical Risk Minimization for Metric Learning Using Privileged Information IJCAI 2016 A Relaxed Ranking-Based Factor Model for Recommender System from Implicit Feedback IJCAI 2016 DisturbLabel: Regularizing CNN on the Loss Layer CVPR 2016 Learned Binary Spectral Shape Descriptor for 3D Shape Correspondence CVPR 2016 Saliency Detection with a Deeper Investigation of Light Field IJCAI 2015 3D Deep Shape Descriptor CVPR 2015 Interaction Part Mining: A Mid-Level Approach for Fine-Grained Action Recognition CVPR 2015 Online Group Feature Selection IJCAI 2013 Aspect Ranking: Identifying Important Product Aspects from Online Consumer Reviews ACL 2011 Domain-Assisted Product Aspect Hierarchy Generation: Towards Hierarchical Organization of Unstructured Consumer Reviews EMNLP 2011 Prediction of Thematic Rank for Structured Semantic Role Labeling ACL 2009 Prediction of Thematic Rank for Structured Semantic Role Labeling IJCNLP 2009 Chinese Semantic Role Labeling with Shallow Parsing EMNLP 2009