Wang, Cong

51 publications

NeurIPS 2025 Advanced Sign Language Video Generation with Compressed and Quantized Multi-Condition Tokenization Cong Wang, Zexuan Deng, Zhiwei Jiang, Yafeng Yin, Fei Shen, Zifeng Cheng, Shiping Ge, Shiwei Gan, Qing Gu

AAAI 2025 Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models Fei Shen, Hu Ye, Sibo Liu, Jun Zhang, Cong Wang, Xiao Han, Yang Wei

AAAI 2025 CALM: Curiosity-Driven Auditing for Large Language Models Xiang Zheng, Longxiang Wang, Yi Liu, Xingjun Ma, Chao Shen, Cong Wang

CVPR 2025 Can't Slow Me Down: Learning Robust and Hardware-Adaptive Object Detectors Against Latency Attacks for Edge Devices Tianyi Wang, Zichen Wang, Cong Wang, Yuanchao Shu, Ruilong Deng, Peng Cheng, Jiming Chen

ICCV 2025 D3: Training-Free AI-Generated Video Detection Using Second-Order Features Chende Zheng, Ruiqi Suo, Chenhao Lin, Zhengyu Zhao, Le Yang, Shuai Liu, Minghui Yang, Cong Wang, Chao Shen

ICLR 2025 Ensembling Diffusion Models via Adaptive Feature Aggregation Cong Wang, Kuan Tian, Yonghang Guan, Fei Shen, Zhiwei Jiang, Qing Gu, Jun Zhang

AAAI 2025 Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens Zichen Wang, Feng Yan, Tianyi Wang, Cong Wang, Yuanchao Shu, Peng Cheng, Jiming Chen

ICCV 2025 Fine-Grained 3D Gaussian Head Avatars Modeling from Static Captures via Joint Reconstruction and Registration Yuan Sun, Xuan Wang, Cong Wang, WeiLi Zhang, Yanbo Fan, Yu Guo, Fei Wang

AAAI 2025 IMAGDressing-V1: Customizable Virtual Dressing Fei Shen, Xin Jiang, Xin He, Hu Ye, Cong Wang, Xiaoyu Du, Zechao Li, Jinhui Tang

AAAI 2025 Intra and Inter Parser-Prompted Transformers for Effective Image Restoration Cong Wang, Jinshan Pan, Liyan Wang, Wei Wang

AISTATS 2025 LMEraser: Large Model Unlearning via Adaptive Prompt Tuning Jie Xu, Zihan Wu, Cong Wang, Xiaohua Jia

ICML 2025 Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model Fei Shen, Cong Wang, Junyao Gao, Qin Guo, Jisheng Dang, Jinhui Tang, Tat-Seng Chua

CVPR 2025 MeGA: Hybrid Mesh-Gaussian Head Avatar for High-Fidelity Rendering and Head Editing Cong Wang, Di Kang, Heyi Sun, Shenhan Qian, Zixuan Wang, Linchao Bao, Song-Hai Zhang

NeurIPS 2025 PubSub-VFL: Towards Efficient Two-Party Split Learning in Heterogeneous Environments via Publisher/Subscriber Architecture Yi Liu, Yang Liu, Leqian Zheng, Jue Hong, Junjie Shi, Qingyou Yang, Ye Wu, Cong Wang

NeurIPS 2025 Rethinking Joint Maximum Mean Discrepancy for Visual Domain Adaptation Wei Wang, Haifeng Xia, Chao Huang, Zhengming Ding, Cong Wang, Haojie Li, Xiaochun Cao

ICCV 2025 Revisiting Adversarial Patch Defenses on Object Detectors: Unified Evaluation, Large-Scale Dataset, and New Insights Junhao Zheng, Jiahao Sun, Chenhao Lin, Zhengyu Zhao, Chen Ma, Chong Zhang, Cong Wang, Qian Wang, Chao Shen

ICCV 2025 SVG-Head: Hybrid Surface-Volumetric Gaussians for High-Fidelity Head Reconstruction and Real-Time Editing Heyi Sun, Cong Wang, Tian-Xing Xu, Jingwei Huang, Di Kang, Chunchao Guo, Song-Hai Zhang

NeurIPS 2025 Steering When Necessary: Flexible Steering Large Language Models with Backtracking Zifeng Cheng, Jinwei Gan, Zhiwei Jiang, Cong Wang, Yafeng Yin, Xiang Luo, Yuchen Fu, Qing Gu

NeurIPS 2024 AP-Adapter: Improving Generalization of Automatic Prompts on Unseen Text-to-Image Diffusion Models Yuchen Fu, Zhiwei Jiang, Yuliang Liu, Cong Wang, Zexuan Deng, Zhaoling Chen, Qing Gu

ICLR 2024 Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models Fei Shen, Hu Ye, Jun Zhang, Cong Wang, Xiao Han, Yang Wei

ICML 2024 Batch Singular Value Polarization and Weighted Semantic Augmentation for Universal Domain Adaptation Wang Ziqi, Wei Wang, Chao Huang, Jie Wen, Cong Wang

IJCAI 2024 Constrained Intrinsic Motivation for Reinforcement Learning Xiang Zheng, Xingjun Ma, Chao Shen, Cong Wang

AAAI 2024 Correlation Matching Transformation Transformers for UHD Image Restoration Cong Wang, Jinshan Pan, Wei Wang, Gang Fu, Siyuan Liang, Mengzhu Wang, Xiao-Ming Wu, Jun Liu

IJCAI 2024 Explore Internal and External Similarity for Single Image Deraining with Graph Neural Networks Cong Wang, Wei Wang, Chengjin Yu, Jie Mu

IJCAI 2024 Multi-Attention Based Visual-Semantic Interaction for Few-Shot Learning Peng Zhao, Yin Wang, Wei Wang, Jie Mu, Huiting Liu, Cong Wang, Xiaochun Cao

IJCAI 2024 Optimal Graph Learning and Nuclear Norm Maximization for Deep Cross-Domain Robust Label Propagation Wei Wang, Hanyang Li, Ke Shi, Chao Huang, Yang Cao, Cong Wang, Xiaochun Cao

AAAI 2024 SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency Cong Wang, Jinshan Pan, Wanyu Lin, Jiangxin Dong, Wei Wang, Xiao-Ming Wu

AAAI 2024 Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization Houcheng Su, Weihao Luo, Daixian Liu, Mengzhu Wang, Jing Tang, Junyang Chen, Cong Wang, Zhenghan Chen

AAAI 2024 Value at Adversarial Risk: A Graph Defense Strategy Against Cost-Aware Attacks Junlong Liao, Wenda Fu, Cong Wang, Zhongyu Wei, Jiarong Xu

CVPRW 2023 A Dual Branch Network for Emotional Reaction Intensity Estimation Jun Yu, Jichao Zhu, Wangyuan Zhu, Zhongpeng Cai, Guochen Xie, Renda Li, Gongpeng Zhao, Qiang Ling, Lei Wang, Cong Wang, Luyu Qiu, Wei Zheng

ICLR 2023 Bayes-MIL: A New Probabilistic Perspective on Attention-Based Multiple Instance Learning for Whole Slide Images Yufei Cui, Ziquan Liu, Xiangyu Liu, Xue Liu, Cong Wang, Tei-Wei Kuo, Chun Jason Xue, Antoni B. Chan

AAAI 2023 Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning Cong Wang, Zhiwei Jiang, Yafeng Yin, Zifeng Cheng, Shiping Ge, Qing Gu

ECML-PKDD 2023 DualMatch: Robust Semi-Supervised Learning with Dual-Level Interaction Cong Wang, Xiaofeng Cao, Lanzhe Guo, Zenglin Shi

CVPRW 2023 Exploring Large-Scale Unlabeled Faces to Enhance Facial Expression Recognition Jun Yu, Zhongpeng Cai, Renda Li, Gongpeng Zhao, Guochen Xie, Jichao Zhu, Wangyuan Zhu, Qiang Ling, Lei Wang, Cong Wang, Luyu Qiu, Wei Zheng

ICCV 2023 LoLep: Single-View View Synthesis with Locally-Learned Planes and Self-Attention Occlusion Inference Cong Wang, Yu-Ping Wang, Dinesh Manocha

CVPRW 2023 Local Region Perception and Relationship Learning Combined with Feature Fusion for Facial Action Unit Detection Jun Yu, Renda Li, Zhongpeng Cai, Gongpeng Zhao, Guochen Xie, Jichao Zhu, Wangyuan Zhu, Qiang Ling, Lei Wang, Cong Wang, Luyu Qiu, Wei Zheng

NeurIPS 2023 PromptRestorer: A Prompting Image Restoration Method with Degradation Perception Cong Wang, Jinshan Pan, Wei Wang, Jiangxin Dong, Mengzhu Wang, Yakun Ju, Junyang Chen

AAAI 2023 Weakly Supervised 3D Segmentation via Receptive-Driven Pseudo Label Consistency and Structural Consistency Yuxiang Lan, Yachao Zhang, Yanyun Qu, Cong Wang, Chengyang Li, Jia Cai, Yuan Xie, Zongze Wu

NeurIPS 2022 Amplifying Membership Exposure via Data Poisoning Yufei Chen, Chao Shen, Yun Shen, Cong Wang, Yang Zhang

ECCV 2022 Convolutional Embedding Makes Hierarchical Vision Transformer Stronger Cong Wang, Hongmin Xu, Xiong Zhang, Li Wang, Zhitong Zheng, Haifeng Liu

CVPRW 2022 NTIRE 2022 Challenge on Learning the Super-Resolution Space Andreas Lugmayr, Martin Danelljan, Radu Timofte, Kang-wook Kim, Younggeun Kim, Jae-Young Lee, Zechao Li, Jinshan Pan, Dongseok Shim, Ki-Ung Song, Jinhui Tang, Cong Wang, Zhihao Zhao

AAAI 2022 Online-Updated High-Order Collaborative Networks for Single Image Deraining Cong Wang, Jinshan Pan, Xiao-Ming Wu

ECCV 2022 Optimal Transport for Label-Efficient Visible-Infrared Person Re-Identification Jiangming Wang, Zhizhong Zhang, Mingang Chen, Yi Zhang, Cong Wang, Bin Sheng, Yanyun Qu, Yuan Xie

AAAI 2022 Task-Level Self-Supervision for Cross-Domain Few-Shot Learning Wang Yuan, Zhizhong Zhang, Cong Wang, Haichuan Song, Yuan Xie, Lizhuang Ma

AAAI 2022 TransBoost: A Boosting-Tree Kernel Transfer Learning Algorithm for Improving Financial Inclusion Yiheng Sun, Tian Lu, Cong Wang, Yuan Li, Huaiyu Fu, Jingran Dong, Yunjie Xu

ICML 2021 CARTL: Cooperative Adversarially-Robust Transfer Learning Dian Chen, Hongxin Hu, Qian Wang, Li Yinli, Cong Wang, Chao Shen, Qi Li

CVPR 2021 You See What I Want You to See: Exploring Targeted Black-Box Transferability Attack for Hash-Based Image Retrieval Systems Yanru Xiao, Cong Wang

MLJ 2020 Detecting Anomalous Packets in Network Transfers: Investigations Using PCA, Autoencoder and Isolation Forest in TCP Mariam Kiran, Cong Wang, George Papadimitriou, Anirban Mandal, Ewa Deelman

ECML-PKDD 2020 Inductive Document Representation Learning for Short Text Clustering Junyang Chen, Zhiguo Gong, Wei Wang, Xiao Dong, Wei Wang, Weiwen Liu, Cong Wang, Xian Chen

IJCAI 2019 Explore Truthful Incentives for Tasks with Heterogenous Levels of Difficulty in the Sharing Economy Pengzhan Zhou, Xin Wei, Cong Wang, Yuanyuan Yang

IJCAI 2018 GELU-Net: A Globally Encrypted, Locally Unencrypted Deep Neural Network for Privacy-Preserved Learning Qiao Zhang, Cong Wang, Hongyi Wu, Chunsheng Xin, Tran V. Phuong