← Authors

Meng Wang

143 papers · 2009–2026 · 15 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (21) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (9) πŸƒ Academic Marathon (16) 🌈 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 (3) EMNLP (3) MICCAI (3) INTERSPEECH (2) COLING (1) IJCNLP (1) WACV (1)

Top co-authors

Dan Guo (21) Richang Hong (17) Pin-Yu Chen (16) Sijia Liu (12) Xun Yang (10) Yang Wang (9) SHUAI ZHANG (8) Jinxing Zhou (8) Hongkang Li (7) Le Wu (6)

Research topics

Architectures (1)

Keywords

video understanding (9) representation learning (8) knowledge distillation (8) model compression (8) multimodal learning (7) graph neural network (6) multi-modal learning (6) contrastive learning (6) domain adaptation (6) large language model (5) sample complexity (5) action recognition (4) convolutional neural network (4) image restoration (4) recommender system (4) image classification (3) domain generalization (3) image captioning (3) visual question answering (3) embedding learning (3)

Papers

Sparse-Scale Transformer with Bidirectional Awareness for Time Series Forecasting AAAI 2026
FilmWeaver: Weaving Consistent Multi-Shot Videos with Cache-Guided Autoregressive Diffusion AAAI 2026
RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation 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
Benchmarking Trustworthiness in Multimodal LLMs for Video Understanding AAAI 2026
Semantic Alignment of Malicious Question Based on Contrastive Semantic Networks and Data Augmentation (Abstract Reprint) AAAI 2026
Towards Efficient General Feature Prediction in Masked Skeleton Modeling ICCV 2025
Visual-Oriented Fine-Grained Knowledge Editing for MultiModal Large Language Models ICCV 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
Fairness-Aware vCDR-Controlled Generation for Glaucoma Diagnosis MICCAI 2025
Revisiting Audio-Visual Segmentation with Vision-Centric Transformer CVPR 2025
EgoTextVQA: Towards Egocentric Scene-Text Aware Video Question Answering CVPR 2025
Towards Open-Vocabulary Audio-Visual Event Localization CVPR 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
SMoLoRA: Exploring and Defying Dual Catastrophic Forgetting in Continual Visual Instruction Tuning ICCV 2025
GT-Mean Loss: A Simple Yet Effective Solution for Brightness Mismatch in Low-Light Image Enhancement ICCV 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
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
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
Vision-Language Model IP Protection via Prompt-based Learning CVPR 2025
ASAP: Advancing Semantic Alignment Promotes Multi-Modal Manipulation Detecting and Grounding CVPR 2025
Adaptive Group Personalization for Federated Mutual Transfer Learning ICML 2024
Revisiting the Power of Prompt for Visual Tuning ICML 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
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding ICML 2024
How Do Nonlinear Transformers Learn and Generalize in In-Context Learning? ICML 2024
A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts ICML 2024
Structure Matters: Tackling the Semantic Discrepancy in Diffusion Models for Image Inpainting CVPR 2024
StyleTokenizer: Defining Image Style by a Single Instance for Controlling Diffusion Models ECCV 2024
Label-anticipated Event Disentanglement for Audio-Visual Video Parsing ECCV 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
Finding and Editing Multi-Modal Neurons in Pre-Trained Transformers ACL 2024
Towards Proactive Interactions for In-Vehicle Conversational Assistants Utilizing Large Language Models IJCAI 2024
OSIC: A New One-Stage Image Captioner Coined IJCAI 2024
FasMe: Fast and Sample-efficient Meta Estimator for Precision Matrix Learning in Small Sample Settings NIPS 2024
Knowledge-augmented Financial Market Analysis and Report Generation EMNLP 2024
Training A Small Emotional Vision Language Model for Visual Art Comprehension ECCV 2024
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning ICML 2024
Fine-Grained Audible Video Description CVPR 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
Disentangling Cognitive Diagnosis with Limited Exercise Labels NIPS 2023
DC-Former: Diverse and Compact Transformer for Person Re-identification AAAI 2023
Fair Representation Learning for Recommendation: A Mutual Information Perspective AAAI 2023
Rethinking Data-Free Quantization as a Zero-Sum Game AAAI 2023
MCL: Multi-Granularity Contrastive Learning Framework for Chinese NER AAAI 2023
Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection CVPR 2023
Prompting Large Language Models With Answer Heuristics for Knowledge-Based Visual Question Answering CVPR 2023
Domain Generalized Stereo Matching via Hierarchical Visual Transformation CVPR 2023
Adaptive Data-Free Quantization CVPR 2023
LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes CVPR 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
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks ICML 2023
Multi-mode Neural Speech Coding Based on Deep Generative Networks INTERSPEECH 2023
EmotionNAS: Two-stream Neural Architecture Search for Speech Emotion Recognition INTERSPEECH 2023
Harnessing Unrecognizable Faces for Improving Face Recognition WACV 2023
Deep Color Consistent Network for Low-Light Image Enhancement CVPR 2022
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling ICML 2022
How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis ICLR 2022
Audioβ€”Visual Segmentation ECCV 2022
A Difference Standardization Method for Mutual Transfer Learning ICML 2022
Switchable Online Knowledge Distillation ECCV 2022
Width & Depth Pruning for Vision Transformers AAAI 2022
Multi-modal Contrastive Representation Learning for Entity Alignment COLING 2022
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning ICLR 2021
Proposal-Free Video Grounding with Contextual Pyramid Network AAAI 2021
Positive-Congruent Training: Towards Regression-Free Model Updates CVPR 2021
Positive Sample Propagation Along the Audio-Visual Event Line CVPR 2021
Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching AAAI 2021
Discrimination-Aware Mechanism for Fine-Grained Representation Learning CVPR 2021
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks NIPS 2021
Motion Prediction Using Trajectory Cues ICCV 2021
Single View Physical Distance Estimation Using Human Pose ICCV 2021
Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning AAAI 2021
Partial-Label and Structure-constrained Deep Coupled Factorization Network AAAI 2021
Reward-Constrained Behavior Cloning IJCAI 2021
Generative Adversarial Imitation Learning from Failed Experiences (Student Abstract) AAAI 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
Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach AAAI 2020
Learning to Match on Graph for Fashion Compatibility Modeling AAAI 2020
Detail-recovery Image Deraining via Context Aggregation Networks CVPR 2020
Iterative Context-Aware Graph Inference for Visual Dialog CVPR 2020
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case ICML 2020
One-Shot Learning for Long-Tail Visual Relation Detection AAAI 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
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases ECCV 2020
Large-Scale Few-Shot Learning via Multi-Modal Knowledge Discovery ECCV 2020
Feature Pyramid Transformer ECCV 2020
Learning to Discretely Compose Reasoning Module Networks for Video Captioning IJCAI 2020
TransNFCM: Translation-Based Neural Fashion Compatibility Modeling AAAI 2019
Graphonomy: Universal Human Parsing via Graph Transfer Learning CVPR 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
Dense Temporal Convolution Network for Sign Language Translation IJCAI 2019
Connectionist Temporal Modeling of Video and Language: a Joint Model for Translation and Sign Labeling IJCAI 2019
Personalized Multimedia Item and Key Frame Recommendation IJCAI 2019
Approximate Optimal Transport for Continuous Densities with Copulas IJCAI 2019
Dual Visual Attention Network for Visual Dialog IJCAI 2019
Multi-Cue Correlation Filters for Robust Visual Tracking CVPR 2018
Fine-grained Image Classification by Visual-Semantic Embedding IJCAI 2018
A Relaxed Ranking-Based Factor Model for Recommender System from Implicit Feedback IJCAI 2016
Learned Binary Spectral Shape Descriptor for 3D Shape Correspondence CVPR 2016
DisturbLabel: Regularizing CNN on the Loss Layer CVPR 2016
Empirical Risk Minimization for Metric Learning Using Privileged Information IJCAI 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
Domain-Assisted Product Aspect Hierarchy Generation: Towards Hierarchical Organization of Unstructured Consumer Reviews EMNLP 2011
Aspect Ranking: Identifying Important Product Aspects from Online Consumer Reviews ACL 2011
Prediction of Thematic Rank for Structured Semantic Role Labeling IJCNLP 2009
Prediction of Thematic Rank for Structured Semantic Role Labeling ACL 2009
Chinese Semantic Role Labeling with Shallow Parsing EMNLP 2009