Li, Mu

44 publications

ICCV 2025 Dataset Distillation as Data Compression: A Rate-Utility Perspective Youneng Bao, Yiping Liu, Zhuo Chen, Yongsheng Liang, Mu Li, Kede Ma

AAAI 2025 DiffusionREC: Diffusion Model with Adaptive Condition for Referring Expression Comprehension Jingcheng Ke, Waikeung Wong, Jia Wang, Mu Li, Lunke Fei, Jie Wen

NeurIPS 2025 EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Ruskin Raj Manku, Yuzhi Tang, Xingjian Shi, Mu Li, Alex Smola

CVPR 2025 Learned Image Compression with Dictionary-Based Entropy Model Jingbo Lu, Leheng Zhang, Xingyu Zhou, Mu Li, Wen Li, Shuhang Gu

ICML 2025 Learning Compact Semantic Information for Incomplete Multi-View Missing Multi-Label Classification Jie Wen, Yadong Liu, Zhanyan Tang, Yuting He, Yulong Chen, Mu Li, Chengliang Liu

DMLR 2024 Benchmarking Robustness of Multimodal Image-Text Models Under Distribution Shift Jielin Qiu, Yi Zhu, Xingjian Shi, Florian Wenzel, Zhiqiang Tang, Ding Zhao, Bo Li, Mu Li

CVPR 2024 Learned Scanpaths Aid Blind Panoramic Video Quality Assessment Kanglong Fan, Wen Wen, Mu Li, Yifan Peng, Kede Ma

CVPR 2024 Modular Blind Video Quality Assessment Wen Wen, Mu Li, Yabin Zhang, Yiting Liao, Junlin Li, Li Zhang, Kede Ma

TMLR 2024 Multimodal Chain-of-Thought Reasoning in Language Models Zhuosheng Zhang, Aston Zhang, Mu Li, Hai Zhao, George Karypis, Alex Smola

AAAI 2024 Spherical Pseudo-Cylindrical Representation for Omnidirectional Image Super-Resolution Qing Cai, Mu Li, Dongwei Ren, Jun Lyu, Haiyong Zheng, Junyu Dong, Yee-Hong Yang

ICLR 2023 AIM: Adapting Image Models for Efficient Video Action Recognition Taojiannan Yang, Yi Zhu, Yusheng Xie, Aston Zhang, Chen Chen, Mu Li

ICLR 2023 Automatic Chain of Thought Prompting in Large Language Models Zhuosheng Zhang, Aston Zhang, Mu Li, Alex Smola

ICLR 2023 Learning Multimodal Data Augmentation in Feature Space Zichang Liu, Zhiqiang Tang, Xingjian Shi, Aston Zhang, Mu Li, Anshumali Shrivastava, Andrew Gordon Wilson

ICLR 2023 Parameter-Efficient Fine-Tuning Design Spaces Jiaao Chen, Aston Zhang, Xingjian Shi, Mu Li, Alex Smola, Diyi Yang

NeurIPS 2023 PreDiff: Precipitation Nowcasting with Latent Diffusion Models Zhihan Gao, Xingjian Shi, Boran Han, Hao Wang, Xiaoyong Jin, Danielle Maddix, Yi Zhu, Mu Li, Yuyang Wang

NeurIPSW 2023 PreDiff: Precipitation Nowcasting with Latent Diffusion Models Zhihan Gao, Xingjian Shi, Boran Han, Hao Wang, Xiaoyong Jin, Danielle C. Maddix, Yi Zhu, Mu Li, Bernie Wang

NeurIPS 2023 Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition Shuhuai Ren, Aston Zhang, Yi Zhu, Shuai Zhang, Shuai Zheng, Mu Li, Alexander J Smola, Xu Sun

ICML 2023 XTab: Cross-Table Pretraining for Tabular Transformers Bingzhao Zhu, Xingjian Shi, Nick Erickson, Mu Li, George Karypis, Mahsa Shoaran

NeurIPSW 2022 Benchmarking Robustness Under Distribution Shift of Multimodal Image-Text Models Jielin Qiu, Yi Zhu, Xingjian Shi, Zhiqiang Tang, Ding Zhao, Bo Li, Mu Li

CVPRW 2022 BigDetection: A Large-Scale Benchmark for Improved Object Detector Pre-Training Likun Cai, Zhi Zhang, Yi Zhu, Li Zhang, Mu Li, Xiangyang Xue

NeurIPS 2022 Earthformer: Exploring Space-Time Transformers for Earth System Forecasting Zhihan Gao, Xingjian Shi, Hao Wang, Yi Zhu, Yuyang Wang, Mu Li, Dit-Yan Yeung

ICML 2022 Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition Haotao Wang, Aston Zhang, Yi Zhu, Shuai Zheng, Mu Li, Alex J Smola, Zhangyang Wang

ICML 2022 Removing Batch Normalization Boosts Adversarial Training Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang

CVPRW 2022 ResNeSt: Split-Attention Networks Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Haibin Lin, Zhi Zhang, Yue Sun, Tong He, Jonas Mueller, R. Manmatha, Mu Li, Alexander J. Smola

ICCVW 2021 A Unified Efficient Pyramid Transformer for Semantic Segmentation Fangrui Zhu, Yi Zhu, Li Zhang, Chongruo Wu, Yanwei Fu, Mu Li

NeurIPS 2021 Blending Anti-Aliasing into Vision Transformer Shengju Qian, Hao Shao, Yi Zhu, Mu Li, Jiaya Jia

ICCV 2021 CrossNorm and SelfNorm for Generalization Under Distribution Shifts Zhiqiang Tang, Yunhe Gao, Yi Zhu, Zhi Zhang, Mu Li, Dimitris N. Metaxas

ICMLW 2021 Multimodal AutoML on Structured Tables with Text Fields Xingjian Shi, Jonas Mueller, Nick Erickson, Mu Li, Alex Smola

NeurIPS 2021 Progressive Coordinate Transforms for Monocular 3D Object Detection Li Wang, Li Zhang, Yi Zhu, Zhi Zhang, Tong He, Mu Li, Xiangyang Xue

ICCVW 2021 Video Contrastive Learning with Global Context Haofei Kuang, Yi Zhu, Zhi Zhang, Xinyu Li, Joseph Tighe, Sören Schwertfeger, Cyrill Stachniss, Mu Li

NeurIPS 2020 CSER: Communication-Efficient SGD with Error Reset Cong Xie, Shuai Zheng, Sanmi Koyejo, Indranil Gupta, Mu Li, Haibin Lin

JMLR 2020 GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng, Yi Zhu

AAAI 2019 Regularizing Neural Machine Translation by Target-Bidirectional Agreement Zhirui Zhang, Shuangzhi Wu, Shujie Liu, Mu Li, Ming Zhou, Tong Xu

AAAI 2018 A Probabilistic Hierarchical Model for Multi-View and Multi-Feature Classification Jinxing Li, Hongwei Yong, Bob Zhang, Mu Li, Lei Zhang, David Zhang

AAAI 2018 Joint Training for Neural Machine Translation Models with Monolingual Data Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou, Enhong Chen

ECCV 2018 Shift-Net: Image Inpainting via Deep Feature Rearrangement Zhaoyi Yan, Xiaoming Li, Mu Li, Wangmeng Zuo, Shiguang Shan

AISTATS 2017 Data Driven Resource Allocation for Distributed Learning Travis Dick, Mu Li, Venkata Krishna Pillutla, Colin White, Nina Balcan, Alexander J. Smola

AISTATS 2016 AdaDelay: Delay Adaptive Distributed Stochastic Optimization Suvrit Sra, Adams Wei Yu, Mu Li, Alexander J. Smola

NeurIPS 2014 Communication Efficient Distributed Machine Learning with the Parameter Server Mu Li, David G Andersen, Alexander J Smola, Kai Yu

AAAI 2014 Machine Translation with Real-Time Web Search Lei Cui, Ming Zhou, Qiming Chen, Dongdong Zhang, Mu Li

AAAI 2014 Mind the Gap: Machine Translation by Minimizing the Semantic Gap in Embedding Space Jiajun Zhang, Shujie Liu, Mu Li, Ming Zhou, Chengqing Zong

CVPR 2011 Time and Space Efficient Spectral Clustering via Column Sampling Mu Li, Xiao-Chen Lian, James T. Kwok, Bao-Liang Lu

ICML 2010 Making Large-Scale Nyström Approximation Possible Mu Li, James T. Kwok, Bao-Liang Lu

CVPR 2010 Online Multiple Instance Learning with No Regret Mu Li, James T. Kwok, Bao-Liang Lu