Xinmei Tian
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
70
Venues
17
Active years
2010–2026
Best venue rank
A*
Where they publish
Papers
70 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Bridging the Language Gap: Uncovering and Aligning Shared Circuits for Multi-Hop Reasoning in Multilingual LLMs. | Chenghao Sun, Zhen Huang, Yonggang Zhang, Xinmei Tian, Xu Shen, Jieping Ye |
| 2026 | ACL | Cross-Modal Masked Compositional Concept Modeling for Enhancing Visio-Linguistic Compositionality. | Wei Li, Zhen Huang, Xinmei Tian |
| 2025 | AAAI | A Similarity Paradigm Through Textual Regularization Without Forgetting. | Fangming Cui, Jan Fong, Rongfei Zeng, Xinmei Tian, Jun Yu |
| 2025 | ACL | Visual Evidence Prompting Mitigates Hallucinations in Large Vision-Language Models. | Wei Li, Zhen Huang, Houqiang Li, Le Lu, Yang Lu, Xinmei Tian, Xu Shen, Jieping Ye |
| 2025 | ACL | Interpret and Improve In-Context Learning via the Lens of Input-Label Mappings. | Chenghao Sun, Zhen Huang, Yonggang Zhang, Le Lu, Houqiang Li, Xinmei Tian, Xu Shen, Jieping Ye |
| 2025 | ICLR | Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs. | Rui Dai, Sile Hu, Xu Shen, Yonggang Zhang, Xinmei Tian, Jieping Ye |
| 2025 | ICLR | A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops. | Shi Fu, Yingjie Wang, Yuzhu Chen, Xinmei Tian, Dacheng Tao |
| 2025 | ICML | Enhancing Target-unspecific Tasks through a Features Matrix. | Fangming Cui, Yonggang Zhang, Xuan Wang, Xinmei Tian, Jun Yu |
| 2024 | CVPR | Sheared Backpropagation for Fine-Tuning Foundation Models. | Zhiyuan Yu, Li Shen, Liang Ding, Xinmei Tian, Yixin Chen, Dacheng Tao |
| 2024 | CVPR | Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning. | Wei Zhang, Chaoqun Wan, Tongliang Liu, Xinmei Tian, Xu Shen, Jieping Ye |
| 2024 | EMNLP | Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding. | Wei Li, Zhen Huang, Xinmei Tian, Le Lu, Houqiang Li, Xu Shen, Jieping Ye |
| 2024 | ICLR | Convergence of Bayesian Bilevel Optimization. | Shi Fu, Fengxiang He, Xinmei Tian, Dacheng Tao |
| 2024 | ICLR | Out-of-Distribution Detection with Negative Prompts. | Jun Nie, Yonggang Zhang, Zhen Fang, Tongliang Liu, Bo Han, Xinmei Tian |
| 2024 | ICLR | FedImpro: Measuring and Improving Client Update in Federated Learning. | Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xinmei Tian, Tongliang Liu, Bo Han, Xiaowen Chu |
| 2024 | ICLR | Robust Training of Federated Models with Extremely Label Deficiency. | Yonggang Zhang, Zhiqin Yang, Xinmei Tian, Nannan Wang, Tongliang Liu, Bo Han |
| 2024 | ICML | 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 |
| 2024 | ICML | Towards Theoretical Understandings of Self-Consuming Generative Models. | Shi Fu, Sen Zhang, Yingjie Wang, Xinmei Tian, Dacheng Tao |
| 2024 | ICML | Interpreting and Improving Large Language Models in Arithmetic Calculation. | Wei Zhang, Chaoqun Wan, Yonggang Zhang, Yiu-ming Cheung, Xinmei Tian, Xu Shen, Jieping Ye |
| 2024 | UAI | Adaptive Time-Stepping Schedules for Diffusion Models. | Yuzhu Chen, Fengxiang He, Shi Fu, Xinmei Tian, Dacheng Tao |
| 2023 | ICLR | Sharper Bounds for Uniformly Stable Algorithms with Stationary Mixing Process. | Shi Fu, Yunwen Lei, Qiong Cao, Xinmei Tian, Dacheng Tao |
| 2023 | ICML | Moderately Distributional Exploration for Domain Generalization. | Rui Dai, Yonggang Zhang, Zhen Fang, Bo Han, Xinmei Tian |
| 2023 | ICML | Structured Cooperative Learning with Graphical Model Priors. | Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao |
| 2023 | IJCNN | Adaptive Priority Reweighing for Generalizing Fairness Improvement. | Zhihao Hu, Yiran Xu, Xinmei Tian |
| 2023 | IJCNN | Semantic-Aware Mixup for Domain Generalization. | Chengchao Xu, Xinmei Tian |
| 2022 | CVPR | Learning to Collaborate in Decentralized Learning of Personalized Models. | Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao |
| 2022 | CVPR | Prompt Distribution Learning. | Yuning Lu, Jianzhuang Liu, Yonggang Zhang, Yajing Liu, Xinmei Tian |
| 2022 | CVPR | 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 |
| 2022 | ECCV | Self-Supervision Can Be a Good Few-Shot Learner. | Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian |
| 2022 | ICLR | Adversarial Robustness Through the Lens of Causality. | Yonggang Zhang, Mingming Gong, Tongliang Liu, Gang Niu, Xinmei Tian, Bo Han, Bernhard Schlkopf, Kun Zhang |
| 2022 | ICML | DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training. | Rong Dai, Li Shen, Fengxiang He, Xinmei Tian, Dacheng Tao |
| 2022 | ICML | Identity-Disentangled Adversarial Augmentation for Self-supervised Learning. | Kaiwen Yang, Tianyi Zhou, Xinmei Tian, Dacheng Tao |
| 2021 | CVPR | 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 |
| 2021 | ICCV | A Style and Semantic Memory Mechanism for Domain Generalization | Yang Chen, Yu Wang, Yingwei Pan, Ting Yao, Xinmei Tian, Tao Mei |
| 2021 | ICCV | 3D Local Convolutional Neural Networks for Gait Recognition. | Zhen Huang, Dixiu Xue, Xu Shen, Xinmei Tian, Houqiang Li, Jianqiang Huang, Xian-Sheng Hua |
| 2020 | ECCV | AF2S: An Anchor-Free Two-Stage Tracker Based on a Strong SiamFC Baseline. | Anfeng He, Guangting Wang, Chong Luo, Xinmei Tian, Wenjun Zeng |
| 2020 | ECCV | Learning to Localize Actions from Moments. | Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei |
| 2020 | ICML | Dual-Path Distillation: A Unified Framework to Improve Black-Box Attacks. | Yonggang Zhang, Ya Li, Tongliang Liu, Xinmei Tian |
| 2019 | CVPR | Exploring Object Relation in Mean Teacher for Cross-Domain Detection. | Qi Cai, Yingwei Pan, Chong-Wah Ngo, Xinmei Tian, Lingyu Duan, Ting Yao |
| 2019 | CVPR | Camera Lens Super-Resolution. | Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha, Feng Wu |
| 2019 | CVPR | Compact Feature Learning for Multi-Domain Image Classification. | Yajing Liu, Xinmei Tian, Ya Li, Zhiwei Xiong, Feng Wu |
| 2019 | CVPR | Gaussian Temporal Awareness Networks for Action Localization. | Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei |
| 2019 | CVPR | Learning Spatio-Temporal Representation With Local and Global Diffusion. | Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Xinmei Tian, Tao Mei |
| 2019 | CVPR | Quantization Networks. | Jiwei Yang, Xu Shen, Jun Xing, Xinmei Tian, Houqiang Li, Bing Deng, Jianqiang Huang, Xian-Sheng Hua |
| 2019 | IJCAI | KCNN: Kernel-wise Quantization to Remarkably Decrease Multiplications in Convolutional Neural Network. | Linghua Zeng, Zhangcheng Wang, Xinmei Tian |
| 2019 | SMC | RC-CNN: Representation-Consistent Convolutional Neural Networks for Achieving Transformation Invariance. | Jun Gu, Anfeng He, Xinmei Tian |
| 2018 | AAAI | Domain Generalization via Conditional Invariant Representations. | Ya Li, Mingming Gong, Xinmei Tian, Tongliang Liu, Dacheng Tao |
| 2018 | AAAI | Sequence-to-Sequence Learning via Shared Latent Representation. | Xu Shen, Xinmei Tian, Jun Xing, Yong Rui, Dacheng Tao |
| 2018 | CVPR | A Twofold Siamese Network for Real-Time Object Tracking. | Anfeng He, Chong Luo, Xinmei Tian, Wenjun Zeng |
| 2018 | ECCV | Deep Boosting for Image Denoising. | Chang Chen, Zhiwei Xiong, Xinmei Tian, Feng Wu |
| 2018 | ECCV | Towards a Better Match in Siamese Network Based Visual Object Tracker. | Anfeng He, Chong Luo, Xinmei Tian, Wenjun Zeng |
| 2018 | ECCV | The Sixth Visual Object Tracking VOT2018 Challenge Results. | Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Toms Vojr, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernndez, lvaro Garca-Martn, lvaro Iglesias-Arias, A. Aydin Alatan, Abel Gonzlez-Garca, 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, Joo F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodrguez Herranz, Jos M. Martnez, 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-Moivar, 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 |
| 2018 | ECCV | Deep Domain Generalization via Conditional Invariant Adversarial Networks. | Ya Li, Xinmei Tian, Mingming Gong, Yajing Liu, Tongliang Liu, Kun Zhang, Dacheng Tao |
| 2018 | SMC | Relative Aesthetic Quality Ranking. | Xinmei Tian, Yujiao Long, Hao Lv |
| 2018 | SIGIR | Deep Domain Adaptation Hashing with Adversarial Learning. | Fuchen Long, Ting Yao, Qi Dai, Xinmei Tian, Jiebo Luo, Tao Mei |
| 2017 | AAAI | Patch Reordering: A NovelWay to Achieve Rotation and Translation Invariance in Convolutional Neural Networks. | Xu Shen, Xinmei Tian, Shaoyan Sun, Dacheng Tao |
| 2017 | ICONIP | Semi-supervised Coefficient-Based Distance Metric Learning. | Zhangcheng Wang, Ya Li, Xinmei Tian |
| 2017 | ICONIP | A Small Scale Multi-Column Network for Aesthetic Classification Based on Multiple Attributes. | Chaoqun Wan, Xinmei Tian |
| 2017 | ICONIP | Layer-Wise Training to Create Efficient Convolutional Neural Networks. | Linghua Zeng, Xinmei Tian |
| 2017 | IJCAI | Classification and Representation Joint Learning via Deep Networks. | Ya Li, Xinmei Tian, Xu Shen, Dacheng Tao |
| 2016 | ICDM | Regularized Large Margin Distance Metric Learning. | Ya Li, Xinmei Tian, Dacheng Tao |
| 2016 | MMM | Visual Re-ranking Through Greedy Selection and Rank Fusion. | Bin Lin, Ai Wei, Xinmei Tian |
| 2016 | MMM | Learning Relative Aesthetic Quality with a Pairwise Approach. | Hao Lv, Xinmei Tian |
| 2016 | SMC | Multi-organ plant identification with multi-column deep convolutional neural networks. | Anfeng He, Xinmei Tian |
| 2015 | IJCAI | Multi-Task Model and Feature Joint Learning. | Ya Li, Xinmei Tian, Tongliang Liu, Dacheng Tao |
| 2015 | MMM | Photo Quality Assessment with DCNN that Understands Image Well. | Zhe Dong, Xu Shen, Houqiang Li, Xinmei Tian |
| 2015 | MMSP | Event recognition in personal photo collections using hierarchical model and multiple features. | Cong Guo, Xinmei Tian |
| 2015 | SMC | Query-Adaptive Image Search Re-ranking Using Deep Convolutional Neural Network Feature. | Bin Lin, Xinmei Tian |
| 2014 | SMC | Effective and efficient photo quality assessment. | Zhe Dong, Xinmei Tian |
| 2010 | AAAI | Constrained Metric Learning Via Distance Gap Maximization. | Wei Liu, Xinmei Tian, Dacheng Tao, Jianzhuang Liu |
| 2010 | MMM | Visual Reranking with Local Learning Consistency. | Xinmei Tian, Linjun Yang, Xiuqing Wu, Xian-Sheng Hua |