Zhou, Joey Tianyi

71 publications

TMLR 2025 AutoAnnotator: A Collaborative Annotation Framework for Large and Small Language Models Yao Lu, Ji Zhaiyuan, Jiawei Du, Yu Shanqing, Qi Xuan, Joey Tianyi Zhou

NeurIPS 2025 Beyond Modality Collapse: Representation Blending for Multimodal Dataset Distillation Xin Zhang, Ziruo Zhang, Jiawei Du, Zuozhu Liu, Joey Tianyi Zhou

ICLR 2025 Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator Xin Zhang, Jiawei Du, Ping Liu, Joey Tianyi Zhou

ICML 2025 Deep Unsupervised Hashing via External Guidance Qihong Song, Xiting Liu, Hongyuan Zhu, Joey Tianyi Zhou, Xi Peng, Peng Hu

AAAI 2025 KPL: Training-Free Medical Knowledge Mining of Vision-Language Models Jiaxiang Liu, Tianxiang Hu, Jiawei Du, Ruiyuan Zhang, Joey Tianyi Zhou, Zuozhu Liu

CVPR 2025 Learning with Noisy Triplet Correspondence for Composed Image Retrieval Shuxian Li, Changhao He, Xiting Liu, Joey Tianyi Zhou, Xi Peng, Peng Hu

WACV 2025 PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction Yujing Xue, Jiaxiang Liu, Jiawei Du, Joey Tianyi Zhou

NeurIPS 2025 PandaPose: 3D Human Pose Lifting from a Single Image via Propagating 2D Pose Prior to 3D Anchor Space Jinghong Zheng, Changlong Jiang, Yang Xiao, Jiaqi Li, Haohong Kuang, Hang Xu, Ran Wang, Zhiguo Cao, Min Du, Joey Tianyi Zhou

CVPR 2025 ProjAttacker: A Configurable Physical Adversarial Attack for Face Recognition via Projector Yuanwei Liu, Hui Wei, Chengyu Jia, Ruqi Xiao, Weijian Ruan, Xingxing Wei, Joey Tianyi Zhou, Zheng Wang

NeurIPS 2025 SCOPE: Saliency-Coverage Oriented Token Pruning for Efficient Multimodel LLMs Jinhong Deng, Wen Li, Joey Tianyi Zhou, Yang He

ECCV 2024 CrossGLG: LLM Guides One-Shot Skeleton-Based 3D Action Recognition in a Cross-Level Manner Tingbing Yan, Wenzheng Zeng, Yang Xiao, Xingyu Tong, Bo Tan, Zhiwen Fang, Zhiguo Cao, Joey Tianyi Zhou

ICLR 2024 Data-Independent Module-Aware Pruning for Hierarchical Vision Transformers Yang He, Joey Tianyi Zhou

MLJ 2024 Deep Negative Correlation Classification Le Zhang, Qibin Hou, Yun Liu, Jia-Wang Bian, Xun Xu, Joey Tianyi Zhou, Ce Zhu

ECCV 2024 Direct Distillation Between Different Domains Jialiang Tang, Shuo Chen, Gang Niu, Hongyuan Zhu, Joey Tianyi Zhou, Chen Gong, Masashi Sugiyama

NeurIPS 2024 Diversity-Driven Synthesis: Enhancing Dataset Distillation Through Directed Weight Adjustment Jiawei Du, Xin Zhang, Juncheng Hu, Wenxing Huang, Joey Tianyi Zhou

ICLR 2024 FedLoGe: Joint Local and Generic Federated Learning Under Long-Tailed Data Zikai Xiao, Zihan Chen, Liyinglan Liu, Yang Feng, Joey Tianyi Zhou, Jian Wu, Wanlu Liu, Howard Hao Yang, Zuozhu Liu

ICLR 2024 Multisize Dataset Condensation Yang He, Lingao Xiao, Joey Tianyi Zhou, Ivor Tsang

CVPR 2024 Noisy-Correspondence Learning for Text-to-Image Person Re-Identification Yang Qin, Yingke Chen, Dezhong Peng, Xi Peng, Joey Tianyi Zhou, Peng Hu

AAAI 2024 PointCVaR: Risk-Optimized Outlier Removal for Robust 3D Point Cloud Classification Xinke Li, Junchi Lu, Henghui Ding, Changsheng Sun, Joey Tianyi Zhou, Yeow Meng Chee

ECCV 2024 STSP: Spatial-Temporal Subspace Projection for Video Class-Incremental Learning Hao Cheng, Siyuan Yang, Chong Wang, Joey Tianyi Zhou, Alex Kot, Bihan Wen

CVPR 2024 Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning Xin Zhang, Jiawei Du, Yunsong Li, Weiying Xie, Joey Tianyi Zhou

NeurIPS 2024 The Best of Both Worlds: On the Dilemma of Out-of-Distribution Detection Qingyang Zhang, Qiuxuan Feng, Joey Tianyi Zhou, Yatao Bian, Qinghua Hu, Changqing Zhang

CVPR 2023 A2J-Transformer: Anchor-to-Joint Transformer Network for 3D Interacting Hand Pose Estimation from a Single RGB Image Changlong Jiang, Yang Xiao, Cunlin Wu, Mingyang Zhang, Jinghong Zheng, Zhiguo Cao, Joey Tianyi Zhou

ICML 2023 Calibrating Multimodal Learning Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu

NeurIPS 2023 Cross-Modal Active Complementary Learning with Self-Refining Correspondence Yang Qin, Yuan Sun, Dezhong Peng, Joey Tianyi Zhou, Xi Peng, Peng Hu

NeurIPS 2023 Fast Model DeBias with Machine Unlearning Ruizhe Chen, Jianfei Yang, Huimin Xiong, Jianhong Bai, Tianxiang Hu, Jin Hao, Yang Feng, Joey Tianyi Zhou, Jian Wu, Zuozhu Liu

NeurIPS 2023 Fed-GraB: Federated Long-Tailed Learning with Self-Adjusting Gradient Balancer Zikai Xiao, Zihan Chen, Songshang Liu, Hualiang Wang, Yang Feng, Jin Hao, Joey Tianyi Zhou, Jian Wu, Howard Hua Yang, Zuozhu Liu

ICCV 2023 Frequency Guidance Matters in Few-Shot Learning Hao Cheng, Siyuan Yang, Joey Tianyi Zhou, Lanqing Guo, Bihan Wen

ICLR 2023 Meta Knowledge Condensation for Federated Learning Ping Liu, Xin Yu, Joey Tianyi Zhou

CVPR 2023 Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation Jiawei Du, Yidi Jiang, Vincent Y. F. Tan, Joey Tianyi Zhou, Haizhou Li

ICML 2023 Provable Dynamic Fusion for Low-Quality Multimodal Data Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng

CVPR 2023 Real-Time Multi-Person Eyeblink Detection in the Wild for Untrimmed Video Wenzheng Zeng, Yang Xiao, Sicheng Wei, Jinfang Gan, Xintao Zhang, Zhiguo Cao, Zhiwen Fang, Joey Tianyi Zhou

ICCV 2023 Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering Chi Zhang, Wei Yin, Gang Yu, Zhibin Wang, Tao Chen, Bin Fu, Joey Tianyi Zhou, Chunhua Shen

NeurIPS 2023 Sequential Subset Matching for Dataset Distillation Jiawei Du, Qin Shi, Joey Tianyi Zhou

NeurIPS 2023 Towards Distribution-Agnostic Generalized Category Discovery Jianhong Bai, Zuozhu Liu, Hualiang Wang, Ruizhe Chen, Lianrui Mu, Xiaomeng Li, Joey Tianyi Zhou, Yang Feng, Jian Wu, Haoji Hu

NeurIPS 2023 You Only Condense Once: Two Rules for Pruning Condensed Datasets Yang He, Lingao Xiao, Joey Tianyi Zhou

ICML 2023 dugMatting: Decomposed-Uncertainty-Guided Matting Jiawei Wu, Changqing Zhang, Zuoyong Li, Huazhu Fu, Xi Peng, Joey Tianyi Zhou

WACV 2022 Adversarial Semantic Hallucination for Domain Generalized Semantic Segmentation Gabriel Tjio, Ping Liu, Joey Tianyi Zhou, Rick Siow Mong Goh

ECCV 2022 C3P: Cross-Domain Pose Prior Propagation for Weakly Supervised 3D Human Pose Estimation Cunlin Wu, Yang Xiao, Boshen Zhang, Mingyang Zhang, Zhiguo Cao, Joey Tianyi Zhou

ICLR 2022 Efficient Sharpness-Aware Minimization for Improved Training of Neural Networks Jiawei Du, Hanshu Yan, Jiashi Feng, Joey Tianyi Zhou, Liangli Zhen, Rick Siow Mong Goh, Vincent Tan

NeurIPS 2022 Multi-Scale Adaptive Network for Single Image Denoising Yuanbiao Gou, Peng Hu, Jiancheng Lv, Joey Tianyi Zhou, Xi Peng

NeurIPS 2022 Sharpness-Aware Training for Free Jiawei Du, Daquan Zhou, Jiashi Feng, Vincent Tan, Joey Tianyi Zhou

JMLR 2022 XAI Beyond Classification: Interpretable Neural Clustering Xi Peng, Yunfan Li, Ivor W. Tsang, Hongyuan Zhu, Jiancheng Lv, Joey Tianyi Zhou

AAAI 2021 Contrastive Clustering Yunfan Li, Peng Hu, Jerry Zitao Liu, Dezhong Peng, Joey Tianyi Zhou, Xi Peng

ICCV 2021 PointBA: Towards Backdoor Attacks in 3D Point Cloud Xinke Li, Zhirui Chen, Yue Zhao, Zekun Tong, Yabang Zhao, Andrew Lim, Joey Tianyi Zhou

ICLR 2021 Trusted Multi-View Classification Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou

NeurIPS 2021 Trustworthy Multimodal Regression with Mixture of Normal-Inverse Gamma Distributions Huan Ma, Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu

CVPR 2020 3DV: 3D Dynamic Voxel for Action Recognition in Depth Video Yancheng Wang, Yang Xiao, Fu Xiong, Wenxiang Jiang, Zhiguo Cao, Joey Tianyi Zhou, Junsong Yuan

NeurIPS 2020 Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-Based Games Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang

AAAI 2020 Is BERT Really Robust? a Strong Baseline for Natural Language Attack on Text Classification and Entailment Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits

NeurIPS 2020 Partially View-Aligned Clustering Zhenyu Huang, Peng Hu, Joey Tianyi Zhou, Jiancheng Lv, Xi Peng

ICLR 2020 Query-Efficient Meta Attack to Deep Neural Networks Jiawei Du, Hu Zhang, Joey Tianyi Zhou, Yi Yang, Jiashi Feng

AAAI 2020 Unsupervised Domain Adaptation on Reading Comprehension Yu Cao, Meng Fang, Baosheng Yu, Joey Tianyi Zhou

ICCV 2019 A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image Fu Xiong, Boshen Zhang, Yang Xiao, Zhiguo Cao, Taidong Yu, Joey Tianyi Zhou, Junsong Yuan

ICML 2019 COMIC: Multi-View Clustering Without Parameter Selection Xi Peng, Zhenyu Huang, Jiancheng Lv, Hongyuan Zhu, Joey Tianyi Zhou

NeurIPS 2019 CPM-Nets: Cross Partial Multi-View Networks Changqing Zhang, Zongbo Han, Yajie Cui, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu

AAAI 2019 Inter-Class Angular Loss for Convolutional Neural Networks Le Hui, Xiang Li, Chen Gong, Meng Fang, Joey Tianyi Zhou, Jian Yang

JMLR 2019 Multi-Class Heterogeneous Domain Adaptation Joey Tianyi Zhou, Ivor W. Tsang, Sinno Jialin Pan, Mingkui Tan

IJCAI 2019 Multi-View Spectral Clustering Network Zhenyu Huang, Joey Tianyi Zhou, Xi Peng, Changqing Zhang, Hongyuan Zhu, Jiancheng Lv

MLJ 2019 N-Ary Decomposition for Multi-Class Classification Joey Tianyi Zhou, Ivor W. Tsang, Shen-Shyang Ho, Klaus-Robert Müller

AAAI 2019 Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective Hongyuan Zhu, Xi Peng, Joey Tianyi Zhou, Songfan Yang, Vijay Chanderasekh, Liyuan Li, Joo-Hwee Lim

AAAI 2018 SC2Net: Sparse LSTMs for Sparse Coding Joey Tianyi Zhou, Kai Di, Jiawei Du, Xi Peng, Hao Yang, Sinno Jialin Pan, Ivor W. Tsang, Yong Liu, Zheng Qin, Rick Siow Mong Goh

CVPR 2017 MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks with Privileged Information Hao Yang, Joey Tianyi Zhou, Jianfei Cai, Yew Soon Ong

CVPR 2016 Exploit Bounding Box Annotations for Multi-Label Object Recognition Hao Yang, Joey Tianyi Zhou, Yu Zhang, Bin-Bin Gao, Jianxin Wu, Jianfei Cai

ECCV 2016 Improving Multi-Label Learning with Missing Labels by Structured Semantic Correlations Hao Yang, Joey Tianyi Zhou, Jianfei Cai

IJCAI 2016 Transfer Hashing with Privileged Information Joey Tianyi Zhou, Xinxing Xu, Sinno Jialin Pan, Ivor W. Tsang, Zheng Qin, Rick Siow Mong Goh

AAAI 2016 Transfer Learning for Cross-Language Text Categorization Through Active Correspondences Construction Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang, Shen-Shyang Ho

ECCV 2014 Feature Disentangling Machine - A Novel Approach of Feature Selection and Disentangling in Facial Expression Analysis Ping Liu, Joey Tianyi Zhou, Ivor Wai-Hung Tsang, Zibo Meng, Shizhong Han, Yan Tong

AISTATS 2014 Heterogeneous Domain Adaptation for Multiple Classes Joey Tianyi Zhou, Ivor W. Tsang, Sinno Jialin Pan, Mingkui Tan

AAAI 2014 Hybrid Heterogeneous Transfer Learning Through Deep Learning Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang, Yan Yan

ACML 2012 Multi-View Positive and Unlabeled Learning Joey Tianyi Zhou, Sinno Jialin Pan, Qi Mao, Ivor W. Tsang