Tian, Xinmei

51 publications

AAAI 2025 A Similarity Paradigm Through Textual Regularization Without Forgetting Fangming Cui, Jan Fong, Rongfei Zeng, Xinmei Tian, Jun Yu

ICLR 2025 A Theoretical Perspective: How to Prevent Model Collapse in Self-Consuming Training Loops Shi Fu, Yingjie Wang, Yuzhu Chen, Xinmei Tian, Dacheng Tao

NeurIPS 2025 An Effective Levelling Paradigm for Unlabeled Scenarios Fangming Cui, Zhou Yu, Di Yang, Yuqiang Ren, Liang Xiao, Xinmei Tian

NeurIPS 2025 Detecting Generated Images by Fitting Natural Image Distributions Yonggang Zhang, Jun Nie, Xinmei Tian, Mingming Gong, Kun Zhang, Bo Han

ICML 2025 Enhancing Target-Unspecific Tasks Through a Features Matrix Fangming Cui, Yonggang Zhang, Xuan Wang, Xinmei Tian, Jun Yu

NeurIPS 2025 Epistemic Uncertainty for Generated Image Detection Jun Nie, Yonggang Zhang, Tongliang Liu, Yiu-ming Cheung, Bo Han, Xinmei Tian

ICLR 2025 Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs Rui Dai, Sile Hu, Xu Shen, Yonggang Zhang, Xinmei Tian, Jieping Ye

NeurIPS 2025 Towards Generalizable Detector for Generated Image Qianshu Cai, Chao Wu, Yonggang Zhang, Jun Yu, Xinmei Tian

UAI 2024 Adaptive Time-Stepping Schedules for Diffusion Models Yuzhu Chen, Fengxiang He, Shi Fu, Xinmei Tian, Dacheng Tao

ICLR 2024 Convergence of Bayesian Bilevel Optimization Shi Fu, Fengxiang He, Xinmei Tian, Dacheng Tao

CVPR 2024 Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning Wei Zhang, Chaoqun Wan, Tongliang Liu, Xinmei Tian, Xu Shen, Jieping Ye

ICLR 2024 FedImpro: Measuring and Improving Client Update in Federated Learning Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xinmei Tian, Tongliang Liu, Bo Han, Xiaowen Chu

ICML 2024 From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning Wei Chen, Zhen Huang, Liang Xie, Binbin Lin, Houqiang Li, Le Lu, Xinmei Tian, Deng Cai, Yonggang Zhang, Wenxiao Wang, Xu Shen, Jieping Ye

ICML 2024 Interpreting and Improving Large Language Models in Arithmetic Calculation Wei Zhang, Chaoqun Wan, Yonggang Zhang, Yiu-Ming Cheung, Xinmei Tian, Xu Shen, Jieping Ye

ICLR 2024 Out-of-Distribution Detection with Negative Prompts Jun Nie, Yonggang Zhang, Zhen Fang, Tongliang Liu, Bo Han, Xinmei Tian

ICLR 2024 Robust Training of Federated Models with Extremely Label Deficiency Yonggang Zhang, Zhiqin Yang, Xinmei Tian, Nannan Wang, Tongliang Liu, Bo Han

CVPR 2024 Sheared Backpropagation for Fine-Tuning Foundation Models Zhiyuan Yu, Li Shen, Liang Ding, Xinmei Tian, Yixin Chen, Dacheng Tao

ICML 2024 Towards Theoretical Understandings of Self-Consuming Generative Models Shi Fu, Sen Zhang, Yingjie Wang, Xinmei Tian, Dacheng Tao

NeurIPS 2023 FedFed: Feature Distillation Against Data Heterogeneity in Federated Learning Zhiqin Yang, Yonggang Zhang, Yu Zheng, Xinmei Tian, Hao Peng, Tongliang Liu, Bo Han

ICML 2023 Moderately Distributional Exploration for Domain Generalization Rui Dai, Yonggang Zhang, Zhen Fang, Bo Han, Xinmei Tian

ICLR 2023 Sharper Bounds for Uniformly Stable Algorithms with Stationary Mixing Process Shi Fu, Yunwen Lei, Qiong Cao, Xinmei Tian, Dacheng Tao

ICML 2023 Structured Cooperative Learning with Graphical Model Priors Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao

NeurIPS 2022 Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao

ICLR 2022 Adversarial Robustness Through the Lens of Causality Yonggang Zhang, Mingming Gong, Tongliang Liu, Gang Niu, Xinmei Tian, Bo Han, Bernhard Schölkopf, Kun Zhang

ICML 2022 DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training Rong Dai, Li Shen, Fengxiang He, Xinmei Tian, Dacheng Tao

ICML 2022 Identity-Disentangled Adversarial Augmentation for Self-Supervised Learning Kaiwen Yang, Tianyi Zhou, Xinmei Tian, Dacheng Tao

CVPR 2022 Learning to Collaborate in Decentralized Learning of Personalized Models Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao

CVPR 2022 Meta Convolutional Neural Networks for Single Domain Generalization Chaoqun Wan, Xu Shen, Yonggang Zhang, Zhiheng Yin, Xinmei Tian, Feng Gao, Jianqiang Huang, Xian-Sheng Hua

CVPR 2022 Prompt Distribution Learning Yuning Lu, Jianzhuang Liu, Yonggang Zhang, Yajing Liu, Xinmei Tian

ECCV 2022 Self-Supervision Can Be a Good Few-Shot Learner Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian

NeurIPS 2022 Towards Lightweight Black-Box Attack Against Deep Neural Networks Chenghao Sun, Yonggang Zhang, Wan Chaoqun, Qizhou Wang, Ya Li, Tongliang Liu, Bo Han, Xinmei Tian

ICCV 2021 3D Local Convolutional Neural Networks for Gait Recognition Zhen Huang, Dixiu Xue, Xu Shen, Xinmei Tian, Houqiang Li, Jianqiang Huang, Xian-Sheng Hua

ICCV 2021 A Style and Semantic Memory Mechanism for Domain Generalization Yang Chen, Yu Wang, Yingwei Pan, Ting Yao, Xinmei Tian, Tao Mei

NeurIPS 2021 Class-Disentanglement and Applications in Adversarial Detection and Defense Kaiwen Yang, Tianyi Zhou, Yonggang Zhang, Xinmei Tian, Dacheng Tao

CVPR 2021 Revisiting Knowledge Distillation: An Inheritance and Exploration Framework Zhen Huang, Xu Shen, Jun Xing, Tongliang Liu, Xinmei Tian, Houqiang Li, Bing Deng, Jianqiang Huang, Xian-Sheng Hua

ECCVW 2020 AF2S: An Anchor-Free Two-Stage Tracker Based on a Strong SiamFC Baseline Anfeng He, Guangting Wang, Chong Luo, Xinmei Tian, Wenjun Zeng

ICML 2020 Dual-Path Distillation: A Unified Framework to Improve Black-Box Attacks Yonggang Zhang, Ya Li, Tongliang Liu, Xinmei Tian

ECCV 2020 Learning to Localize Actions from Moments Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei

IJCAI 2019 KCNN: Kernel-Wise Quantization to Remarkably Decrease Multiplications in Convolutional Neural Network Linghua Zeng, Zhangcheng Wang, Xinmei Tian

ICCVW 2019 The Seventh Visual Object Tracking VOT2019 Challenge Results Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhenhua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou

ECCV 2018 Deep Boosting for Image Denoising Chang Chen, Zhiwei Xiong, Xinmei Tian, Feng Wu

ECCV 2018 Deep Domain Generalization via Conditional Invariant Adversarial Networks Ya Li, Xinmei Tian, Mingming Gong, Yajing Liu, Tongliang Liu, Kun Zhang, Dacheng Tao

AAAI 2018 Domain Generalization via Conditional Invariant Representations Ya Li, Mingming Gong, Xinmei Tian, Tongliang Liu, Dacheng Tao

AAAI 2018 Sequence-to-Sequence Learning via Shared Latent Representation Xu Shen, Xinmei Tian, Jun Xing, Yong Rui, Dacheng Tao

ECCVW 2018 The Sixth Visual Object Tracking VOT2018 Challenge Results Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomás Vojír, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, João F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhenhua Feng, Zhihui Wang, Zhiqun He

ECCVW 2018 Towards a Better Match in Siamese Network Based Visual Object Tracker Anfeng He, Chong Luo, Xinmei Tian, Wenjun Zeng

IJCAI 2017 Classification and Representation Joint Learning via Deep Networks Ya Li, Xinmei Tian, Xu Shen, Dacheng Tao

AAAI 2017 Patch Reordering: A NovelWay to Achieve Rotation and Translation Invariance in Convolutional Neural Networks Xu Shen, Xinmei Tian, Shaoyan Sun, Dacheng Tao

ICCVW 2017 UDNet: Up-Down Network for Compact and Efficient Feature Representation in Image Super-Resolution Chang Chen, Xinmei Tian, Feng Wu, Zhiwei Xiong

IJCAI 2015 Multi-Task Model and Feature Joint Learning Ya Li, Xinmei Tian, Tongliang Liu, Dacheng Tao

AAAI 2010 Constrained Metric Learning via Distance Gap Maximization Wei Liu, Xinmei Tian, Dacheng Tao, Jianzhuang Liu