Wang, Shuo

79 publications

NeurIPS 2025 A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings Xiaoang Xu, Shuo Wang, Xu Han, Zhenghao Liu, Huijia Wu, Pei Pei Li, Zhiyuan Liu, Maosong Sun, Zhaofeng He

ICCV 2025 Accelerating Diffusion Transformer via Gradient-Optimized Cache Junxiang Qiu, Lin Liu, Shuo Wang, Jinda Lu, Kezhou Chen, Yanbin Hao

NeurIPS 2025 Aux-Think: Exploring Reasoning Strategies for Data-Efficient Vision-Language Navigation Shuo Wang, Yongcai Wang, Wanting Li, Xudong Cai, Yucheng Wang, Maiyue Chen, Kaihui.Wang, Zhizhong Su, Deying Li, Zhaoxin Fan

AAAI 2025 CoDe: Communication Delay-Tolerant Multi-Agent Collaboration via Dual Alignment of Intent and Timeliness Shoucheng Song, Youfang Lin, Sheng Han, Chang Yao, Hao Wu, Shuo Wang, Kai Lv

ICML 2025 Cooperation of Experts: Fusing Heterogeneous Information with Large Margin Shuo Wang, Shunyang Huang, Jinghui Yuan, Zhixiang Shen, Zhao Kang

ICML 2025 DAMA: Data- and Model-Aware Alignment of Multi-Modal LLMs Jinda Lu, Junkang Wu, Jinghan Li, Xiaojun Jia, Shuo Wang, Yifan Zhang, Junfeng Fang, Xiang Wang, Xiangnan He

NeurIPS 2025 DCAD-2000: A Multilingual Dataset Across 2000+ Languages with Data Cleaning as Anomaly Detection Wen Lai, Yingli Shen, Shuo Wang, Xueren Zhang, Kangyang Luo, Alexander Fraser, Maosong Sun

ICCV 2025 Dynamic Multimodal Prototype Learning in Vision-Language Models Xingyu Zhu, Shuo Wang, Beier Zhu, Miaoge Li, Yunfan Li, Junfeng Fang, Zhicai Wang, Dongsheng Wang, Hanwang Zhang

ICCV 2025 EA-ViT: Efficient Adaptation for Elastic Vision Transformer Chen Zhu, Wangbo Zhao, Huiwen Zhang, Yuhao Zhou, Weidong Tang, Shuo Wang, Zhihang Yuan, Yuzhang Shang, Xiaojiang Peng, Kai Wang, Dawei Yang

CVPR 2025 Enhancing Adversarial Transferability with Checkpoints of a Single Model's Training Shixin Li, Chaoxiang He, Xiaojing Ma, Bin Benjamin Zhu, Shuo Wang, Hongsheng Hu, Dongmei Zhang, Linchen Yu

NeurIPS 2025 Enhancing CLIP Robustness via Cross-Modality Alignment Xingyu Zhu, Beier Zhu, Shuo Wang, Kesen Zhao, Hanwang Zhang

CVPR 2025 Exploring CLIP's Dense Knowledge for Weakly Supervised Semantic Segmentation Zhiwei Yang, Yucong Meng, Kexue Fu, Feilong Tang, Shuo Wang, Zhijian Song

IJCAI 2025 Fine-Grained and Efficient Self-Unlearning with Layered Iteration Hongyi Lyu, Xuyun Zhang, Hongsheng Hu, Shuo Wang, Chaoxiang He, Lianyong Qi

AAAI 2025 Infer the Whole from a Glimpse of a Part: Keypoint-Based Knowledge Graph for Vehicle Re-Identification Kai Lv, Yunlong Li, Zhuo Chen, Shuo Wang, Sheng Han, Youfang Lin

CVPR 2025 MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Shuo Wang, Wanting Li, Yongcai Wang, Zhaoxin Fan, Zhe Huang, Xudong Cai, Jian Zhao, Deying Li

AAAI 2025 Medical Manifestation-Aware De-Identification Yuan Tian, Shuo Wang, Guangtao Zhai

AAAI 2025 MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation Zhiwei Yang, Yucong Meng, Kexue Fu, Shuo Wang, Zhijian Song

ICML 2025 Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment Shuo Wang, Bokui Wang, Zhixiang Shen, Boyan Deng, Zhao Kang

COLT 2025 Multi-Pass Memory Lower Bounds for Learning Problems Qian Li, Shuo Wang, Jiapeng Zhang

NeurIPS 2025 QiMeng-MuPa: Mutual-Supervised Learning for Sequential-to-Parallel Code Translation Changxin Ke, Rui Zhang, Shuo Wang, Li Ding, Guangli Li, Yuanbo Wen, Shuoming Zhang, Ruiyuan Xu, Jin Qin, Jiaming Guo, Chenxi Wang, Ling Li, Qi Guo, Yunji Chen

ICLR 2025 RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards Xinze Li, Sen Mei, Zhenghao Liu, Yukun Yan, Shuo Wang, Shi Yu, Zheni Zeng, Hao Chen, Ge Yu, Zhiyuan Liu, Maosong Sun, Chenyan Xiong

WACV 2025 RT-DETRv3: Real-Time End-to-End Object Detection with Hierarchical Dense Positive Supervision Shuo Wang, Chunlong Xia, Feng Lv, Yifeng Shi

NeurIPS 2025 RoMA: Scaling up Mamba-Based Foundation Models for Remote Sensing Fengxiang Wang, Yulin Wang, Mingshuo Chen, Haotian Wang, Hongzhen Wang, Haiyan Zhao, Yangang Sun, Shuo Wang, Di Wang, Long Lan, Wenjing Yang, Jing Zhang

ICCV 2025 Semantic Versus Identity: A Divide-and-Conquer Approach Towards Adjustable Medical Image De-Identification Yuan Tian, Shuo Wang, Rongzhao Zhang, Zijian Chen, Yankai Jiang, Chunyi Li, Xiangyang Zhu, Fang Yan, Qiang Hu, XiaoSong Wang, Guangtao Zhai

CVPR 2025 TIMotion: Temporal and Interactive Framework for Efficient Human-Human Motion Generation Yabiao Wang, Shuo Wang, Jiangning Zhang, Ke Fan, Jiafu Wu, Zhucun Xue, Yong Liu

ICLR 2025 VisRAG: Vision-Based Retrieval-Augmented Generation on Multi-Modality Documents Shi Yu, Chaoyue Tang, Bokai Xu, Junbo Cui, Junhao Ran, Yukun Yan, Zhenghao Liu, Shuo Wang, Xu Han, Zhiyuan Liu, Maosong Sun

NeurIPS 2025 WaveAR: Wavelet-Aware Continuous Autoregressive Diffusion for Accurate Human Motion Prediction Shengchuan Gao, Shuo Wang, Yabiao Wang, Ran Yi

IJCAI 2025 Where Does This Data Come from? Enhanced Source Inference Attacks in Federated Learning Haiyang Chen, Xiaolong Xu, Xiang Zhu, Xiaokang Zhou, Fei Dai, Yansong Gao, Xiao Chen, Shuo Wang, Hongsheng Hu

NeurIPS 2024 Beyond Redundancy: Information-Aware Unsupervised Multiplex Graph Structure Learning Zhixiang Shen, Shuo Wang, Zhao Kang

AAAI 2024 Boosting Few-Shot Learning via Attentive Feature Regularization Xingyu Zhu, Shuo Wang, Jinda Lu, Yanbin Hao, Haifeng Liu, Xiangnan He

NeurIPS 2024 Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models Bowen Ping, Shuo Wang, Hanqing Wang, Xu Han, Yuzhuang Xu, Yukun Yan, Yun Chen, Baobao Chang, Zhiyuan Liu, Maosong Sun

ECCV 2024 Enhancing Recipe Retrieval with Foundation Models: A Data Augmentation Perspective Fangzhou Song, Bin Zhu, Yanbin Hao, Shuo Wang

NeurIPS 2024 Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting Xingyu Zhu, Beier Zhu, Yi Tan, Shuo Wang, Yanbin Hao, Hanwang Zhang

NeurIPS 2024 FAST: A Dual-Tier Few-Shot Learning Paradigm for Whole Slide Image Classification Kexue Fu, Xiaoyuan Luo, Linhao Qu, Shuo Wang, Ying Xiong, Ilias Maglogiannis, Longxiang Gao, Manning Wang

IJCAI 2024 How to Learn Domain-Invariant Representations for Visual Reinforcement Learning: An Information-Theoretical Perspective Shuo Wang, Zhihao Wu, Jinwen Wang, Xiaobo Hu, Youfang Lin, Kai Lv

ICLR 2024 Learning with Mixture of Prototypes for Out-of-Distribution Detection Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao, Kristen Moore

NeurIPS 2024 OneBit: Towards Extremely Low-Bit Large Language Models Yuzhuang Xu, Xu Han, Zonghan Yang, Shuo Wang, Qingfu Zhu, Zhiyuan Liu, Weidong Liu, Wanxiang Che

NeurIPS 2024 PGN: The RNN's New Successor Is Effective for Long-Range Time Series Forecasting Yuxin Jia, Youfang Lin, Jing Yu, Shuo Wang, Tianhao Liu, Huaiyu Wan

CVPR 2024 Separate and Conquer: Decoupling Co-Occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation Zhiwei Yang, Kexue Fu, Minghong Duan, Linhao Qu, Shuo Wang, Zhijian Song

IJCAI 2024 Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable than You Thought Xiaoxiao Chi, Xuyun Zhang, Yan Wang, Lianyong Qi, Amin Beheshti, Xiaolong Xu, Kim-Kwang Raymond Choo, Shuo Wang, Hongsheng Hu

ECCV 2024 Stream Query Denoising for Vectorized HD-mAP Construction Shuo Wang, Fan Jia, Weixin Mao, Yingfei Liu, Yucheng Zhao, Zehui Chen, Tiancai Wang, Chi Zhang, Xiangyu Zhang, Feng Zhao

WACV 2024 TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding Shuo Wang, Jing Li, Zibo Zhao, Dongze Lian, Binbin Huang, Xiaomei Wang, Zhengxin Li, Shenghua Gao

CVPRW 2024 The 8th AI City Challenge Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Pranamesh Chakraborty, Sanjita Prajapati, Quan Kong, Norimasa Kobori, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Fady Alnajjar, Ganzorig Batnasan, Ping-Yang Chen, Jun-Wei Hsieh, Xunlei Wu, Sameer Satish Pusegaonkar, Yizhou Wang, Sujit Biswas, Rama Chellappa

AAAI 2024 What Effects the Generalization in Visual Reinforcement Learning: Policy Consistency with Truncated Return Prediction Shuo Wang, Zhihao Wu, Xiaobo Hu, Jinwen Wang, Youfang Lin, Kai Lv

CVPR 2023 Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning Zhicai Wang, Yanbin Hao, Tingting Mu, Ouxiang Li, Shuo Wang, Xiangnan He

ICCV 2023 Boosting Whole Slide Image Classification from the Perspectives of Distribution, Correlation and Magnification Linhao Qu, Zhiwei Yang, Minghong Duan, Yingfan Ma, Shuo Wang, Manning Wang, Zhijian Song

ICCV 2023 DETRDistill: A Universal Knowledge Distillation Framework for DETR-Families Jiahao Chang, Shuo Wang, Hai-Ming Xu, Zehui Chen, Chenhongyi Yang, Feng Zhao

ICML 2023 Demystifying Uneven Vulnerability of Link Stealing Attacks Against Graph Neural Networks He Zhang, Bang Wu, Shuo Wang, Xiangwen Yang, Minhui Xue, Shirui Pan, Xingliang Yuan

CVPR 2023 Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers Zhou Huang, Hang Dai, Tian-Zhu Xiang, Shuo Wang, Huai-Xin Chen, Jie Qin, Huan Xiong

AAAI 2023 High-Resolution Iterative Feedback Network for Camouflaged Object Detection Xiaobin Hu, Shuo Wang, Xuebin Qin, Hang Dai, Wenqi Ren, Donghao Luo, Ying Tai, Ling Shao

ICCV 2023 Learning from Noisy Data for Semi-Supervised 3D Object Detection Zehui Chen, Zhenyu Li, Shuo Wang, Dengpan Fu, Feng Zhao

AAAI 2023 Memory-Aided Contrastive Consensus Learning for Co-Salient Object Detection Peng Zheng, Jie Qin, Shuo Wang, Tian-Zhu Xiang, Huan Xiong

ICCV 2023 Source-Free Depth for Object Pop-Out Zongwei Wu, Danda Pani Paudel, Deng-Ping Fan, Jingjing Wang, Shuo Wang, Cédric Demonceaux, Radu Timofte, Luc Van Gool

CVPRW 2023 The 7th AI City Challenge Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Sanjita Prajapati, Alice Li, Shangru Li, Krishna Kunadharaju, Shenxin Jiang, Rama Chellappa

CVPR 2023 Towards Domain Generalization for Multi-View 3D Object Detection in Bird-Eye-View Shuo Wang, Xinhai Zhao, Hai-Ming Xu, Zehui Chen, Dameng Yu, Jiahao Chang, Zhen Yang, Feng Zhao

ECML-PKDD 2023 Triplets Oversampling for Class Imbalanced Federated Datasets Chenguang Xiao, Shuo Wang

CVPR 2022 An Efficient Training Approach for Very Large Scale Face Recognition Kai Wang, Shuo Wang, Panpan Zhang, Zhipeng Zhou, Zheng Zhu, Xiaobo Wang, Xiaojiang Peng, Baigui Sun, Hao Li, Yang You

IJCAI 2022 Boundary-Guided Camouflaged Object Detection Yujia Sun, Shuo Wang, Chenglizhao Chen, Tian-Zhu Xiang

CVPR 2022 CAFE: Learning to Condense Dataset by Aligning Features Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Shuo Yang, Shuo Wang, Guan Huang, Hakan Bilen, Xinchao Wang, Yang You

IJCAI 2022 Long-Term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention Wei Shao, Zhiling Jin, Shuo Wang, Yufan Kang, Xiao Xiao, Hamid Menouar, Zhaofeng Zhang, Junshan Zhang, Flora D. Salim

ICLR 2022 Meta-Imitation Learning by Watching Video Demonstrations Jiayi Li, Tao Lu, Xiaoge Cao, Yinghao Cai, Shuo Wang

CVPRW 2022 The 6th AI City Challenge Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Alice Li, Shangru Li, Rama Chellappa

CVPRW 2021 LCCNet: LiDAR and Camera Self-Calibration Using Cost Volume Network Xudong Lv, Boya Wang, Ziwen Dou, Dong Ye, Shuo Wang

ICCV 2021 Learning Motion-Appearance Co-Attention for Zero-Shot Video Object Segmentation Shu Yang, Lu Zhang, Jinqing Qi, Huchuan Lu, Shuo Wang, Xiaoxing Zhang

ICCVW 2021 Mask Aware Network for Masked Face Recognition in the Wild Kai Wang, Shuo Wang, Jianfei Yang, Xiaobo Wang, Baigui Sun, Hao Li, Yang You

CVPRW 2021 The 5th AI City Challenge Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Yue Yao, Liang Zheng, Pranamesh Chakraborty, Christian E. López, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff

ECCV 2020 Dual Adversarial Network for Deep Active Learning Shuo Wang, Yuexiang Li, Kai Ma, Ruhui Ma, Haibing Guan, Yefeng Zheng

ECCV 2020 Exclusivity-Consistency Regularized Knowledge Distillation for Face Recognition Xiaobo Wang, Tianyu Fu, Shengcai Liao, Shuo Wang, Zhen Lei, Tao Mei

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

ICML 2020 Loss Function Search for Face Recognition Xiaobo Wang, Shuo Wang, Cheng Chi, Shifeng Zhang, Tao Mei

AAAI 2020 Mis-Classified Vector Guided SoftMax Loss for Face Recognition Xiaobo Wang, Shifeng Zhang, Shuo Wang, Tianyu Fu, Hailin Shi, Tao Mei

CVPRW 2020 The 4th AI City Challenge Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Liang Zheng, Anuj Sharma, Rama Chellappa, Pranamesh Chakraborty

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

IJCAI 2019 Equally-Guided Discriminative Hashing for Cross-Modal Retrieval Yufeng Shi, Xinge You, Feng Zheng, Shuo Wang, Qinmu Peng

CVPRW 2019 The 2019 AI City Challenge Milind Naphade, Zheng Tang, Ming-Ching Chang, David C. Anastasiu, Anuj Sharma, Rama Chellappa, Shuo Wang, Pranamesh Chakraborty, Tingting Huang, Jenq-Neng Hwang, Siwei Lyu

CVPRW 2018 The 2018 NVIDIA AI City Challenge Milind Naphade, Ming-Ching Chang, Anuj Sharma, David C. Anastasiu, Vamsi Jagarlamudi, Pranamesh Chakraborty, Tingting Huang, Shuo Wang, Ming-Yu Liu, Rama Chellappa, Jenq-Neng Hwang, Siwei Lyu

IJCAI 2016 Dealing with Multiple Classes in Online Class Imbalance Learning Shuo Wang, Leandro L. Minku, Xin Yao

ICCV 2013 Human Attribute Recognition by Rich Appearance Dictionary Jungseock Joo, Shuo Wang, Song-Chun Zhu

CVPR 2013 Weakly Supervised Learning for Attribute Localization in Outdoor Scenes Shuo Wang, Jungseock Joo, Yizhou Wang, Song-Chun Zhu