Wang, Meng

141 publications

NeurIPS 2025 3D Gaussian Splatting Based Scene-Independent Relocalization with Unidirectional and Bidirectional Feature Fusion Junyi Wang, Yuze Wang, Wantong Duan, Meng Wang, Yue Qi

CVPR 2025 ASAP: Advancing Semantic Alignment Promotes Multi-Modal Manipulation Detecting and Grounding Zhenxing Zhang, Yaxiong Wang, Lechao Cheng, Zhun Zhong, Dan Guo, Meng Wang

ICCV 2025 An Information-Theoretic Regularizer for Lossy Neural Image Compression Yingwen Zhang, Meng Wang, Xihua Sheng, Peilin Chen, Junru Li, Li Zhang, Shiqi Wang

ICML 2025 Bi-Perspective Splitting Defense: Achieving Clean-Seed-Free Backdoor Security Yangyang Shen, Xiao Tan, Dian Shen, Meng Wang, Beilun Wang

ICCV 2025 Boosting Adversarial Transferability via Residual Perturbation Attack Jinjia Peng, Zeze Tao, Huibing Wang, Meng Wang, Yang Wang

AAAI 2025 Cognitive Bias and Reassignment: Who Can Contribute High Quality LLM Data Yunfan Gao, Yun Xiong, Zhongyuan Hu, Yiming Zhang, Meng Wang, Haofen Wang

NeurIPS 2025 Contrastive Learning with Data Misalignment: Feature Purity, Training Dynamics and Theoretical Generalization Guarantees Jiawei Sun, Shuai Zhang, Hongkang Li, Meng Wang

ICCV 2025 DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Rui Yu, Xianghang Zhang, Runkai Zhao, Huaicheng Yan, Meng Wang

NeurIPS 2025 EgoBlind: Towards Egocentric Visual Assistance for the Blind Junbin Xiao, Nanxin Huang, Hao Qiu, Zhulin Tao, Xun Yang, Richang Hong, Meng Wang, Angela Yao

CVPR 2025 EgoTextVQA: Towards Egocentric Scene-Text Aware Video Question Answering Sheng Zhou, Junbin Xiao, Qingyun Li, Yicong Li, Xun Yang, Dan Guo, Meng Wang, Tat-Seng Chua, Angela Yao

AAAI 2025 FakeDiffer: Distributional Disparity Learning on Differentiated Reconstruction for Face Forgery Detection Bo Wang, Zhao Zhang, Suiyi Zhao, Xianming Ye, Haijun Zhang, Meng Wang

ICLR 2025 Feedback Favors the Generalization of Neural ODEs Jindou Jia, Zihan Yang, Meng Wang, Kexin Guo, Jianfei Yang, Xiang Yu, Lei Guo

IJCAI 2025 From End-to-End to Step-by-Step: Learning to Abstract via Abductive Reinforcement Learning Zilong Wang, Jiongda Wang, Xiaoyong Chen, Meng Wang, Ming Ma, ZhiPeng Wang, Zhenyu Zhou, Tianming Yang, Wang-Zhou Dai

ICCV 2025 GT-Mean Loss: A Simple yet Effective Solution for Brightness Mismatch in Low-Light Image Enhancement Jingxi Liao, Shijie Hao, Richang Hong, Meng Wang

ICML 2025 Knowledge Swapping via Learning and Unlearning Mingyu Xing, Lechao Cheng, Shengeng Tang, Yaxiong Wang, Zhun Zhong, Meng Wang

NeurIPS 2025 Learning Temporal 3D Semantic Scene Completion via Optical Flow Guidance Meng Wang, Fan Wu, Ruihui Li, Qin Yunchuan, Zhuo Tang, Kenli Li

ICCV 2025 MMAD: Multi-Label Micro-Action Detection in Videos Kun Li, Pengyu Liu, Dan Guo, Fei Wang, Zhiliang Wu, Hehe Fan, Meng Wang

AAAI 2025 MOL-Mamba: Enhancing Molecular Representation with Structural & Electronic Insights Jingjing Hu, Dan Guo, Zhan Si, Deguang Liu, Yunfeng Diao, Jing Zhang, Jinxing Zhou, Meng Wang

ICML 2025 Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Fangwen Wu, Lechao Cheng, Shengeng Tang, Xiaofeng Zhu, Chaowei Fang, Dingwen Zhang, Meng Wang

NeurIPS 2025 One Stone with Two Birds: A Null-Text-Null Frequency-Aware Diffusion Models for Text-Guided Image Inpainting Haipeng Liu, Yang Wang, Meng Wang

AAAI 2025 PhysDiff: Physiology-Based Dynamicity Disentangled Diffusion Model for Remote Physiological Measurement Wei Qian, Gaoji Su, Dan Guo, Jinxing Zhou, Xiaobai Li, Bin Hu, Shengeng Tang, Meng Wang

ICLR 2025 Precise Localization of Memories: A Fine-Grained Neuron-Level Knowledge Editing Technique for LLMs Haowen Pan, Xiaozhi Wang, Yixin Cao, Zenglin Shi, Xun Yang, Juanzi Li, Meng Wang

AAAI 2025 Prototypical Calibrating Ambiguous Samples for Micro-Action Recognition Kun Li, Dan Guo, Guoliang Chen, Chunxiao Fan, Jingyuan Xu, Zhiliang Wu, Hehe Fan, Meng Wang

CVPR 2025 Revisiting Audio-Visual Segmentation with Vision-Centric Transformer Shaofei Huang, Rui Ling, Tianrui Hui, Hongyu Li, Xu Zhou, Shifeng Zhang, Si Liu, Richang Hong, Meng Wang

ICCV 2025 SMoLoRA: Exploring and Defying Dual Catastrophic Forgetting in Continual Visual Instruction Tuning Ziqi Wang, Chang Che, Qi Wang, Yangyang Li, Zenglin Shi, Meng Wang

JAIR 2025 Semantic Alignment of Malicious Question Based on Contrastive Semantic Networks and Data Augmentation Xinyan Wang, Jinshuo Liu, Juan Deng, Meng Wang, Qian Deng, Youcheng Yan, Lina Wang, Yunsong Ma, Jeff Z. Pan

MLJ 2025 Sparse and Smooth Additive Isotonic Model in High-Dimensional Settings Jiaqi Zhang, Yiqin Wang, Meng Wang, Beilun Wang

ICLR 2025 TASAR: Transfer-Based Attack on Skeletal Action Recognition Yunfeng Diao, Baiqi Wu, Ruixuan Zhang, Ajian Liu, Xiaoshuai Hao, Xingxing Wei, Meng Wang, He Wang

TMLR 2025 Theoretical Learning Performance of Graph Networks: The Impact of Jumping Connections and Layer-Wise Sparsification Jiawei Sun, Hongkang Li, Meng Wang

AAAI 2025 Thinking in Granularity: Dynamic Quantization for Image Super-Resolution by Intriguing Multi-Granularity Clues Mingshen Wang, Zhao Zhang, Feng Li, Ke Xu, Kang Miao, Meng Wang

ICCV 2025 Towards Efficient General Feature Prediction in Masked Skeleton Modeling Shengkai Sun, Zefan Zhang, Jianfeng Dong, Zhiyong Cheng, Xiaojun Chang, Meng Wang

IJCAI 2025 Towards Micro-Action Recognition with Limited Annotations: An Asynchronous Pseudo Labeling and Training Approach Yan Zhang, Lechao Cheng, Yaxiong Wang, Zhun Zhong, Meng Wang

CVPR 2025 Towards Open-Vocabulary Audio-Visual Event Localization Jinxing Zhou, Dan Guo, Ruohao Guo, Yuxin Mao, Jingjing Hu, Yiran Zhong, Xiaojun Chang, Meng Wang

ICLR 2025 Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis Hongkang Li, Songtao Lu, Pin-Yu Chen, Xiaodong Cui, Meng Wang

AAAI 2025 VLScene: Vision-Language Guidance Distillation for Camera-Based 3D Semantic Scene Completion Meng Wang, Huilong Pi, Ruihui Li, Yunchuan Qin, Zhuo Tang, Kenli Li

CVPR 2025 Vision-Language Model IP Protection via Prompt-Based Learning Lianyu Wang, Meng Wang, Huazhu Fu, Daoqiang Zhang

ICCV 2025 Visual-Oriented Fine-Grained Knowledge Editing for MultiModal Large Language Models Zhen Zeng, Leijiang Gu, Xun Yang, Zhangling Duan, Zenglin Shi, Meng Wang

ICLR 2025 When Is Task Vector Provably Effective for Model Editing? a Generalization Analysis of Nonlinear Transformers Hongkang Li, Yihua Zhang, Shuai Zhang, Pin-Yu Chen, Sijia Liu, Meng Wang

AAAI 2024 A Dual-Way Enhanced Framework from Text Matching Point of View for Multimodal Entity Linking Shezheng Song, Shan Zhao, Chengyu Wang, Tianwei Yan, Shasha Li, Xiaoguang Mao, Meng Wang

ICML 2024 A Provably Effective Method for Pruning Experts in Fine-Tuned Sparse Mixture-of-Experts Mohammed Nowaz Rabbani Chowdhury, Meng Wang, Kaoutar El Maghraoui, Naigang Wang, Pin-Yu Chen, Christopher Carothers

ICML 2024 Adaptive Group Personalization for Federated Mutual Transfer Learning Haoqing Xu, Dian Shen, Meng Wang, Beilun Wang

CVPR 2024 Data-Free Quantization via Pseudo-Label Filtering Chunxiao Fan, Ziqi Wang, Dan Guo, Meng Wang

AAAI 2024 EulerMormer: Robust Eulerian Motion Magnification via Dynamic Filtering Within Transformer Fei Wang, Dan Guo, Kun Li, Meng Wang

NeurIPS 2024 FasMe: Fast and Sample-Efficient Meta Estimator for Precision Matrix Learning in Small Sample Settings Xiao Tan, Yiqin Wang, Yangyang Shen, Dian Shen, Meng Wang, Peibo Duan, Beilun Wang

CVPR 2024 Frequency Decoupling for Motion Magnification via Multi-Level Isomorphic Architecture Fei Wang, Dan Guo, Kun Li, Zhun Zhong, Meng Wang

ICMLW 2024 How Do Nonlinear Transformers Acquire Generalization-Guaranteed CoT Ability? Hongkang Li, Meng Wang, Songtao Lu, Xiaodong Cui, Pin-Yu Chen

ICMLW 2024 How Do Nonlinear Transformers Acquire Generalization-Guaranteed CoT Ability? Hongkang Li, Meng Wang, Songtao Lu, Xiaodong Cui, Pin-Yu Chen

ICML 2024 How Do Nonlinear Transformers Learn and Generalize in In-Context Learning? Hongkang Li, Meng Wang, Songtao Lu, Xiaodong Cui, Pin-Yu Chen

AAAI 2024 KPA-Tracker: Towards Robust and Real-Time Category-Level Articulated Object 6d Pose Tracking Liu Liu, Anran Huang, Qi Wu, Dan Guo, Xun Yang, Meng Wang

ECCV 2024 Label-Anticipated Event Disentanglement for Audio-Visual Video Parsing Jinxing Zhou, Dan Guo, Yuxin Mao, Yiran Zhong, Xiaojun Chang, Meng Wang

CVPR 2024 Learning Dynamic Tetrahedra for High-Quality Talking Head Synthesis Zicheng Zhang, Ruobing Zheng, Bonan Li, Congying Han, Tianqi Li, Meng Wang, Tiande Guo, Jingdong Chen, Ziwen Liu, Ming Yang

IJCAI 2024 OSIC: A New One-Stage Image Captioner Coined Bo Wang, Zhao Zhang, Mingbo Zhao, Xiaojie Jin, Mingliang Xu, Meng Wang

AAAI 2024 Object-Aware Adaptive-Positivity Learning for Audio-Visual Question Answering Zhangbin Li, Dan Guo, Jinxing Zhou, Jing Zhang, Meng Wang

ICML 2024 Revisiting the Power of Prompt for Visual Tuning Yuzhu Wang, Lechao Cheng, Chaowei Fang, Dingwen Zhang, Manni Duan, Meng Wang

ICML 2024 SF-DQN: Provable Knowledge Transfer Using Successor Feature for Deep Reinforcement Learning Shuai Zhang, Heshan Devaka Fernando, Miao Liu, Keerthiram Murugesan, Songtao Lu, Pin-Yu Chen, Tianyi Chen, Meng Wang

CVPR 2024 Structure Matters: Tackling the Semantic Discrepancy in Diffusion Models for Image Inpainting Haipeng Liu, Yang Wang, Biao Qian, Meng Wang, Yong Rui

ECCV 2024 StyleTokenizer: Defining Image Style by a Single Instance for Controlling Diffusion Models Wen Li, Muyuan Fang, Cheng Zou, Biao Gong, Ruobing Zheng, Meng Wang, Jingdong Chen, Ming Yang

NeurIPS 2024 Temporal Sentence Grounding with Relevance Feedback in Videos Jianfeng Dong, Xiaoman Peng, Daizong Liu, Xiaoye Qu, Xun Yang, Cuizhu Bao, Meng Wang

IJCAI 2024 Towards Proactive Interactions for In-Vehicle Conversational Assistants Utilizing Large Language Models Huifang Du, Xuejing Feng, Jun Ma, Meng Wang, Shiyu Tao, Yijie Zhong, Yuan-Fang Li, Haofen Wang

ECCV 2024 Training a Small Emotional Vision Language Model for Visual Art Comprehension Jing Zhang, Liang Zheng, Meng Wang, Dan Guo

ICML 2024 What Improves the Generalization of Graph Transformers? a Theoretical Dive into the Self-Attention and Positional Encoding Hongkang Li, Meng Wang, Tengfei Ma, Sijia Liu, Zaixi Zhang, Pin-Yu Chen

ICLR 2023 A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen

CVPRW 2023 ABAW5 Challenge: A Facial Affect Recognition Approach Utilizing Transformer Encoder and Audiovisual Fusion Ziyang Zhang, Liuwei An, Zishun Cui, Ao Xu, Tengteng Dong, Yueqi Jiang, Jingyi Shi, Xin Liu, Xiao Sun, Meng Wang

CVPR 2023 Adaptive Data-Free Quantization Biao Qian, Yang Wang, Richang Hong, Meng Wang

AAAI 2023 DC-Former: Diverse and Compact Transformer for Person Re-Identification Wen Li, Cheng Zou, Meng Wang, Furong Xu, Jianan Zhao, Ruobing Zheng, Yuan Cheng, Wei Chu

NeurIPS 2023 Disentangling Cognitive Diagnosis with Limited Exercise Labels Xiangzhi Chen, Le Wu, Fei Liu, Lei Chen, Kun Zhang, Richang Hong, Meng Wang

CVPR 2023 Domain Generalized Stereo Matching via Hierarchical Visual Transformation Tianyu Chang, Xun Yang, Tianzhu Zhang, Meng Wang

AAAI 2023 Fair Representation Learning for Recommendation: A Mutual Information Perspective Chen Zhao, Le Wu, Pengyang Shao, Kun Zhang, Richang Hong, Meng Wang

CVPR 2023 Fine-Grained Audible Video Description Xuyang Shen, Dong Li, Jinxing Zhou, Zhen Qin, Bowen He, Xiaodong Han, Aixuan Li, Yuchao Dai, Lingpeng Kong, Meng Wang, Yu Qiao, Yiran Zhong

WACV 2023 Harnessing Unrecognizable Faces for Improving Face Recognition Siqi Deng, Yuanjun Xiong, Meng Wang, Wei Xia, Stefano Soatto

ICLR 2023 Joint Edge-Model Sparse Learning Is Provably Efficient for Graph Neural Networks Shuai Zhang, Meng Wang, Pin-Yu Chen, Sijia Liu, Songtao Lu, Miao Liu

CVPR 2023 LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes Meng Wang, Yu-Shen Liu, Yue Gao, Kanle Shi, Yi Fang, Zhizhong Han

AAAI 2023 MCL: Multi-Granularity Contrastive Learning Framework for Chinese NER Shan Zhao, Chengyu Wang, Minghao Hu, Tianwei Yan, Meng Wang

CVPR 2023 Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection Lianyu Wang, Meng Wang, Daoqiang Zhang, Huazhu Fu

CVPRW 2023 Multimodal Feature Extraction and Fusion for Emotional Reaction Intensity Estimation and Expression Classification in Videos with Transformers Jia Li, Yin Chen, Xuesong Zhang, Jiantao Nie, Ziqiang Li, Yangchen Yu, Yan Zhang, Richang Hong, Meng Wang

NeurIPS 2023 On the Convergence and Sample Complexity Analysis of Deep Q-Networks with $\epsilon$-Greedy Exploration Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury

ICML 2023 Patch-Level Routing in Mixture-of-Experts Is Provably Sample-Efficient for Convolutional Neural Networks Mohammed Nowaz Rabbani Chowdhury, Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen

CVPR 2023 Prompting Large Language Models with Answer Heuristics for Knowledge-Based Visual Question Answering Zhenwei Shao, Zhou Yu, Meng Wang, Jun Yu

AAAI 2023 Rethinking Data-Free Quantization as a Zero-Sum Game Biao Qian, Yang Wang, Richang Hong, Meng Wang

NeurIPS 2023 Towards Efficient Pre-Trained Language Model via Feature Correlation Distillation Kun Huang, Xin Guo, Meng Wang

NeurIPSW 2023 Transformers as Multi-Task Feature Selectors: Generalization Analysis of In-Context Learning Hongkang Li, Meng Wang, Songtao Lu, Hui Wan, Xiaodong Cui, Pin-Yu Chen

NeurIPSW 2023 What Improves the Generalization of Graph Transformer? a Theoretical Dive into Self-Attention and Positional Encoding Hongkang Li, Meng Wang, Tengfei Ma, Sijia Liu, Zaixi Zhang, Pin-Yu Chen

ICML 2022 A Difference Standardization Method for Mutual Transfer Learning Haoqing Xu, Meng Wang, Beilun Wang

ECCV 2022 Audio—Visual Segmentation Jinxing Zhou, Jianyuan Wang, Jiayi Zhang, Weixuan Sun, Jing Zhang, Stan Birchfield, Dan Guo, Lingpeng Kong, Meng Wang, Yiran Zhong

CVPR 2022 Deep Color Consistent Network for Low-Light Image Enhancement Zhao Zhang, Huan Zheng, Richang Hong, Mingliang Xu, Shuicheng Yan, Meng Wang

ICML 2022 Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong

ICLR 2022 How Unlabeled Data Improve Generalization in Self-Training? a One-Hidden-Layer Theoretical Analysis Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong

ECCV 2022 Switchable Online Knowledge Distillation Biao Qian, Yang Wang, Hongzhi Yin, Richang Hong, Meng Wang

AAAI 2022 Width & Depth Pruning for Vision Transformers Fang Yu, Kun Huang, Meng Wang, Yuan Cheng, Wei Chu, Li Cui

CVPR 2021 Discrimination-Aware Mechanism for Fine-Grained Representation Learning Furong Xu, Meng Wang, Wei Zhang, Yuan Cheng, Wei Chu

AAAI 2021 Leveraging Table Content for Zero-Shot Text-to-SQL with Meta-Learning Yongrui Chen, Xinnan Guo, Chaojie Wang, Jian Qiu, Guilin Qi, Meng Wang, Huiying Li

AAAI 2021 Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan

ICCV 2021 Motion Prediction Using Trajectory Cues Zhenguang Liu, Pengxiang Su, Shuang Wu, Xuanjing Shen, Haipeng Chen, Yanbin Hao, Meng Wang

ICLR 2021 On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning Ren Wang, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Chuang Gan, Meng Wang

AAAI 2021 Partial-Label and Structure-Constrained Deep Coupled Factorization Network Yan Zhang, Zhao Zhang, Yang Wang, Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang

CVPR 2021 Positive Sample Propagation Along the Audio-Visual Event Line Jinxing Zhou, Liang Zheng, Yiran Zhong, Shijie Hao, Meng Wang

CVPR 2021 Positive-Congruent Training: Towards Regression-Free Model Updates Sijie Yan, Yuanjun Xiong, Kaustav Kundu, Shuo Yang, Siqi Deng, Meng Wang, Wei Xia, Stefano Soatto

AAAI 2021 Proposal-Free Video Grounding with Contextual Pyramid Network Kun Li, Dan Guo, Meng Wang

IJCAI 2021 Reward-Constrained Behavior Cloning Zhaorong Wang, Meng Wang, Jingqi Zhang, Yingfeng Chen, Chongjie Zhang

ICCVW 2021 Semi-Autoregressive Transformer for Image Captioning Yuanen Zhou, Yong Zhang, Zhenzhen Hu, Meng Wang

ICCV 2021 Single View Physical Distance Estimation Using Human Pose Xiaohan Fei, Henry Wang, Lin Lee Cheong, Xiangyu Zeng, Meng Wang, Joseph Tighe

MLJ 2021 Topic Extraction from Extremely Short Texts with Variational Manifold Regularization Ximing Li, Yang Wang, Jihong Ouyang, Meng Wang

NeurIPS 2021 Why Lottery Ticket Wins? a Theoretical Perspective of Sample Complexity on Sparse Neural Networks Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong

AAAI 2020 Automatic Car Damage Assessment System: Reading and Understanding Videos as Professional Insurance Inspectors Wei Zhang, Yuan Cheng, Xin Guo, Qingpei Guo, Jian Wang, Qing Wang, Chen Jiang, Meng Wang, Furong Xu, Wei Chu

ICML 2020 Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-Hidden-Layer Case Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong

ECCV 2020 Feature Pyramid Transformer Dong Zhang, Hanwang Zhang, Jinhui Tang, Meng Wang, Xiansheng Hua, Qianru Sun

AAAI 2020 Generative Adversarial Imitation Learning from Failed Experiences (Student Abstract) Jiacheng Zhu, Jiahao Lin, Meng Wang, Yingfeng Chen, Changjie Fan, Chong Jiang, Zongzhang Zhang

ECCV 2020 Large-Scale Few-Shot Learning via Multi-Modal Knowledge Discovery Shuo Wang, Jun Yue, Jianzhuang Liu, Qi Tian, Meng Wang

IJCAI 2020 Learning to Discretely Compose Reasoning Module Networks for Video Captioning Ganchao Tan, Daqing Liu, Meng Wang, Zheng-Jun Zha

AAAI 2020 Learning to Match on Graph for Fashion Compatibility Modeling Xun Yang, Xiaoyu Du, Meng Wang

IJCAI 2020 Multi-Scale Spatial-Temporal Integration Convolutional Tube for Human Action Recognition Haoze Wu, Jiawei Liu, Xierong Zhu, Meng Wang, Zheng-Jun Zha

AAAI 2020 One-Shot Learning for Long-Tail Visual Relation Detection Weitao Wang, Meng Wang, Sen Wang, Guodong Long, Lina Yao, Guilin Qi, Yang Chen

ECCV 2020 Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases Ren Wang, Gaoyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong, Meng Wang

IJCAI 2020 Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables Jiaqi Zhang, Meng Wang, Qinchi Li, Sen Wang, Xiaojun Chang, Beilun Wang

IJCAI 2020 Recurrent Relational Memory Network for Unsupervised Image Captioning Dan Guo, Yang Wang, Peipei Song, Meng Wang

AAAI 2020 Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach Lei Chen, Le Wu, Richang Hong, Kun Zhang, Meng Wang

IJCAI 2020 Unsupervised Vehicle Re-Identification with Progressive Adaptation Jinjia Peng, Yang Wang, Huibing Wang, Zhao Zhang, Xianping Fu, Meng Wang

IJCAI 2019 Approximate Optimal Transport for Continuous Densities with Copulas Jinjin Chi, Jihong Ouyang, Ximing Li, Yang Wang, Meng Wang

IJCAI 2019 Connectionist Temporal Modeling of Video and Language: A Joint Model for Translation and Sign Labeling Dan Guo, Shengeng Tang, Meng Wang

IJCAI 2019 Dense Temporal Convolution Network for Sign Language Translation Dan Guo, Shuo Wang, Qi Tian, Meng Wang

IJCAI 2019 Dual Visual Attention Network for Visual Dialog Dan Guo, Hui Wang, Meng Wang

IJCAI 2019 Personalized Multimedia Item and Key Frame Recommendation Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang

AAAI 2019 TransNFCM: Translation-Based Neural Fashion Compatibility Modeling Xun Yang, Yunshan Ma, Lizi Liao, Meng Wang, Tat-Seng Chua

IJCAI 2018 Fine-Grained Image Classification by Visual-Semantic Embedding Huapeng Xu, Guilin Qi, Jingjing Li, Meng Wang, Kang Xu, Huan Gao

AAAI 2018 Hierarchical LSTM for Sign Language Translation Dan Guo, Wengang Zhou, Houqiang Li, Meng Wang

IJCAI 2016 A Relaxed Ranking-Based Factor Model for Recommender System from Implicit Feedback Huayu Li, Richang Hong, Defu Lian, Zhiang Wu, Meng Wang, Yong Ge

CVPR 2016 DisturbLabel: Regularizing CNN on the Loss Layer Lingxi Xie, Jingdong Wang, Zhen Wei, Meng Wang, Qi Tian

IJCAI 2016 Empirical Risk Minimization for Metric Learning Using Privileged Information Xun Yang, Meng Wang, Luming Zhang, Dacheng Tao

CVPR 2016 Learned Binary Spectral Shape Descriptor for 3D Shape Correspondence Jin Xie, Meng Wang, Yi Fang

CVPR 2015 3D Deep Shape Descriptor Yi Fang, Jin Xie, Guoxian Dai, Meng Wang, Fan Zhu, Tiantian Xu, Edward Wong

CVPR 2015 Interaction Part Mining: A Mid-Level Approach for Fine-Grained Action Recognition Yang Zhou, Bingbing Ni, Richang Hong, Meng Wang, Qi Tian

IJCAI 2015 Saliency Detection with a Deeper Investigation of Light Field Jun Zhang, Meng Wang, Jun Gao, Yi Wang, Xudong Zhang, Xindong Wu

ECCV 2014 Deep Learning of Scene-Specific Classifier for Pedestrian Detection Xingyu Zeng, Wanli Ouyang, Meng Wang, Xiaogang Wang

IJCAI 2013 Online Group Feature Selection Jing Wang, Zhong-Qiu Zhao, Xuegang Hu, Yiu-ming Cheung, Meng Wang, Xindong Wu

CVPRW 2012 2D-to-3D Image Conversion by Learning Depth from Examples Janusz Konrad, Meng Wang, Prakash Ishwar

CVPR 2012 Robust Non-Negative Graph Embedding: Towards Noisy Data, Unreliable Graphs, and Noisy Labels Hanwang Zhang, Zheng-Jun Zha, Shuicheng Yan, Meng Wang, Tat-Seng Chua

CVPR 2012 Transferring a Generic Pedestrian Detector Towards Specific Scenes Meng Wang, Wei Li, Xiaogang Wang

CVPR 2011 Automatic Adaptation of a Generic Pedestrian Detector to a Specific Traffic Scene Meng Wang, Xiaogang Wang

CVPR 2011 Image Saliency: From Intrinsic to Extrinsic Context Meng Wang, Janusz Konrad, Prakash Ishwar, Kevin Jing, Henry A. Rowley

ICCV 2011 Predicting Occupation via Human Clothing and Contexts Zheng Song, Meng Wang, Xian-Sheng Hua, Shuicheng Yan

IJCAI 2009 Robust Distance Metric Learning with Auxiliary Knowledge Zheng-Jun Zha, Tao Mei, Meng Wang, Zengfu Wang, Xian-Sheng Hua