Zhang, Mi

34 publications

ICLR 2025 $\text{D}_{2}\text{O}$: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models Zhongwei Wan, Xinjian Wu, Yu Zhang, Yi Xin, Chaofan Tao, Zhihong Zhu, Xin Wang, Siqi Luo, Jing Xiong, Longyue Wang, Mi Zhang

TMLR 2025 Autoregressive Models in Vision: A Survey Jing Xiong, Gongye Liu, Lun Huang, Chengyue Wu, Taiqiang Wu, Yao Mu, Yuan Yao, Hui Shen, Zhongwei Wan, Jinfa Huang, Chaofan Tao, Shen Yan, Huaxiu Yao, Lingpeng Kong, Hongxia Yang, Mi Zhang, Guillermo Sapiro, Jiebo Luo, Ping Luo, Ngai Wong

CVPR 2025 Detect-and-Guide: Self-Regulation of Diffusion Models for Safe Text-to-Image Generation via Guideline Token Optimization Feifei Li, Mi Zhang, Yiming Sun, Min Yang

TMLR 2025 Efficient Diffusion Models: A Survey Hui Shen, Jingxuan Zhang, Boning Xiong, Rui Hu, Shoufa Chen, Zhongwei Wan, Xin Wang, Yu Zhang, Zixuan Gong, Guangyin Bao, Chaofan Tao, Yongfeng Huang, Ye Yuan, Mi Zhang

CVPRW 2025 GPT-FL: Generative Pre-Trained Model-Assisted Federated Learning Tuo Zhang, Tiantian Feng, Samiul Alam, Dimitrios Dimitriadis, Sunwoo Lee, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr

ICML 2025 InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory Feifei Li, Mi Zhang, Zhaoxiang Wang, Min Yang

NeurIPS 2025 Reading Recognition in the Wild Charig Yang, Samiul Alam, Shakhrul Iman Siam, Michael J. Proulx, Lambert Mathias, Kiran Somasundaram, Luis Pesqueira, James Fort, Sheroze Sheriffdeen, Omkar Parkhi, Yuheng Ren, Mi Zhang, Yuning Chai, Richard Newcombe, Hyo Jin Kim

NeurIPS 2025 SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning Zhongwei Wan, Zhihao Dou, Che Liu, Yu Zhang, Dongfei Cui, Qinjian Zhao, Hui Shen, Jing Xiong, Yi Xin, Yifan Jiang, Chaofan Tao, Yangfan He, Mi Zhang, Shen Yan

ICLR 2025 SVD-LLM: Truncation-Aware Singular Value Decomposition for Large Language Model Compression Xin Wang, Yu Zheng, Zhongwei Wan, Mi Zhang

NeurIPS 2025 The Future Unmarked: Watermark Removal in AI-Generated Images via Next-Frame Prediction Huming Qiu, Zhaoxiang Wang, Mi Zhang, Xiaohan Zhang, Xiaoyu You, Min Yang

CVPR 2024 CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification Yuanmin Huang, Mi Zhang, Daizong Ding, Erling Jiang, Zhaoxiang Wang, Min Yang

TMLR 2024 Efficient Large Language Models: A Survey Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang

ECCVW 2024 Famba-V: Fast Vision Mamba with Cross-Layer Token Fusion Hui Shen, Zhongwei Wan, Xin Wang, Mi Zhang

DMLR 2024 FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things Samiul Alam, Tuo Zhang, Tiantian Feng, Hui Shen, Zhichao Cao, Dong Zhao, Jeonggil Ko, Kiran Somasundaram, Shrikanth Narayanan, Salman Avestimehr, Mi Zhang

CVPR 2024 Navigate Beyond Shortcuts: Debiased Learning Through the Lens of Neural Collapse Yining Wang, Junjie Sun, Chenyue Wang, Mi Zhang, Min Yang

AAAI 2024 RRL: Recommendation Reverse Learning Xiaoyu You, Jianwei Xu, Mi Zhang, Zechen Gao, Min Yang

AAAI 2023 Black-Box Adversarial Attack on Time Series Classification Daizong Ding, Mi Zhang, Fuli Feng, Yuanmin Huang, Erling Jiang, Min Yang

CVPR 2023 CAP: Robust Point Cloud Classification via Semantic and Structural Modeling Daizong Ding, Erling Jiang, Yuanmin Huang, Mi Zhang, Wenxuan Li, Min Yang

NeurIPS 2023 Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán-Casas, Rossella Arcucci

CVPRW 2023 TimelyFL: Heterogeneity-Aware Asynchronous Federated Learning with Adaptive Partial Training Tuo Zhang, Lei Gao, Sunwoo Lee, Mi Zhang, Salman Avestimehr

CVPR 2023 TopDiG: Class-Agnostic Topological Directional Graph Extraction from Remote Sensing Images Bingnan Yang, Mi Zhang, Zhan Zhang, Zhili Zhang, Xiangyun Hu

ICLR 2022 Deep AutoAugment Yu Zheng, Zhi Zhang, Shen Yan, Mi Zhang

NeurIPS 2022 FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction Samiul Alam, Luyang Liu, Ming Yan, Mi Zhang

NeurIPS 2022 House of Cans: Covert Transmission of Internal Datasets via Capacity-Aware Neuron Steganography Xudong Pan, Shengyao Zhang, Mi Zhang, Yifan Yan, Min Yang

CVPR 2022 Multiview Transformers for Video Recognition Shen Yan, Xuehan Xiong, Anurag Arnab, Zhichao Lu, Mi Zhang, Chen Sun, Cordelia Schmid

ICLR 2021 Dance Revolution: Long-Term Dance Generation with Music via Curriculum Learning Ruozi Huang, Huang Hu, Wei Wu, Kei Sawada, Mi Zhang, Daxin Jiang

ICML 2021 CATE: Computation-Aware Neural Architecture Encoding with Transformers Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang

NeurIPS 2020 Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? Shen Yan, Yu Zheng, Wei Ao, Xiao Zeng, Mi Zhang

AAAI 2020 Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He

ECCV 2020 MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution Taojiannan Yang, Sijie Zhu, Chen Chen, Shen Yan, Mi Zhang, Andrew Willis

ICCVW 2019 HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking Shen Yan, Biyi Fang, Faen Zhang, Yu Zheng, Xiao Zeng, Mi Zhang, Hui Xu

ICML 2018 Theoretical Analysis of Image-to-Image Translation with Adversarial Learning Xudong Pan, Mi Zhang, Daizong Ding

ICCVW 2017 Color Consistency Correction Based on Remapping Optimization for Image Stitching Menghan Xia, Jian Yao, Renping Xie, Mi Zhang, Jinsheng Xiao

CVPR 2015 Line-Based Multi-Label Energy Optimization for Fisheye Image Rectification and Calibration Mi Zhang, Jian Yao, Menghan Xia, Kai Li, Yi Zhang, Yaping Liu