Land-use adjustment with a modified soil loss evaluation method supported by GIS. - Tianhong Li; Jinren Ni; W. X. Ju (Future Gener. Comput. Syst., 2004)

A web-based computer aided system for liver surgery planning: initial implementation on RayPlus. - Ming Luo; Rong Yuan; Zhi Sun; Tianhong Li; Qingguo Xie (Image-Guided Procedures, 2016)

Exploring Efficient Strategies for Minesweeper. - Jinzheng Tu 001; Tianhong Li; Shiteng Chen; Chong Zu; Zhaoquan Gu (AAAI Workshops, 2017)

Quadratic Upper Bound for Recursive Teaching Dimension of Finite VC Classes. - Lunjia Hu; Ruihan Wu; Tianhong Li; Liwei Wang 001 (COLT, 2017)

Multi-Scale Dense Convolutional Networks for Efficient Prediction. - Gao Huang 001; Danlu Chen; Tianhong Li; Felix Wu; Laurens van der Maaten; Kilian Q. Weinberger (CoRR, 2017)

Through-Wall Human Pose Estimation Using Radio Signals. - Mingmin Zhao; Tianhong Li; Mohammad Abu Alsheikh; Yonglong Tian; Hang Zhao; Antonio Torralba 001; Dina Katabi (CVPR, 2018)

Multi-Scale Dense Networks for Resource Efficient Image Classification. - Gao Huang 001; Danlu Chen; Tianhong Li; Felix Wu; Laurens van der Maaten; Kilian Q. Weinberger (ICLR, 2018)

RF-based 3D skeletons. - Mingmin Zhao; Yonglong Tian; Hang Zhao; Mohammad Abu Alsheikh; Tianhong Li; Rumen Hristov; Zachary Kabelac; Dina Katabi; Antonio Torralba 001 (SIGCOMM, 2018)

Knowledge Distillation from Few Samples. - Tianhong Li; Jianguo Li; Zhuang Liu 003; Changshui Zhang (CoRR, 2018)

An Ensemble of Classifiers Based on Positive and Unlabeled Data in One-Class Remote Sensing Classification. - Ran Liu 009; Wenkai Li; Xiaoping Liu 001; Xingcheng Lu; Tianhong Li; Qinghua Guo 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Making the Invisible Visible: Action Recognition Through Walls and Occlusions. - Tianhong Li; Lijie Fan; Mingmin Zhao; Yingcheng Liu; Dina Katabi (ICCV, 2019)

Through-Wall Human Mesh Recovery Using Radio Signals. - Mingmin Zhao; Yingcheng Liu; Aniruddh Raghu; Hang Zhao; Tianhong Li; Antonio Torralba 001; Dina Katabi (ICCV, 2019)

Learning Longterm Representations for Person Re-Identification Using Radio Signals. - Lijie Fan; Tianhong Li; Rongyao Fang; Rumen Hristov; Yuan Yuan 002; Dina Katabi (CVPR, 2020)

Few Sample Knowledge Distillation for Efficient Network Compression. - Tianhong Li; Jianguo Li; Zhuang Liu 003; Changshui Zhang (CVPR, 2020)

In-Home Daily-Life Captioning Using Radio Signals. - Lijie Fan; Tianhong Li; Yuan Yuan 002; Dina Katabi (ECCV (2), 2020)

Information-Preserving Contrastive Learning for Self-Supervised Representations. - Tianhong Li; Lijie Fan; Yuan Yuan 002; Hao He 011; Yonglong Tian; Dina Katabi (CoRR, 2020)

Vibration analysis for marine radar frequency synthesis module. - Tianhong Li; Zhenyuan Zhang; Darong Huang (CAA SAFEPROCESS, 2021)

Targeted Supervised Contrastive Learning for Long-Tailed Recognition. - Tianhong Li; Peng Cao; Yuan Yuan 002; Lijie Fan; Yuzhe Yang 003; Rogério Feris; Piotr Indyk; Dina Katabi (CVPR, 2022)

Unsupervised Learning for Human Sensing Using Radio Signals. - Tianhong Li; Lijie Fan; Yuan Yuan 002; Dina Katabi (WACV, 2022)

MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis. - Tianhong Li; Huiwen Chang; Shlok Kumar Mishra; Han Zhang 010; Dina Katabi; Dilip Krishnan (CVPR, 2023)

Addressing Feature Suppression in Unsupervised Visual Representations. - Tianhong Li; Lijie Fan; Yuan Yuan 002; Hao He 011; Yonglong Tian; Rogério Feris; Piotr Indyk; Dina Katabi (WACV, 2023)

Reparo: Loss-Resilient Generative Codec for Video Conferencing. - Tianhong Li; Vibhaalakshmi Sivaraman; Lijie Fan; Mohammad Alizadeh; Dina Katabi (CoRR, 2023)

Self-conditioned Image Generation via Generating Representations. - Tianhong Li; Dina Katabi; Kaiming He (CoRR, 2023)

Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency. - Tianhong Li; Sangnie Bhardwaj; Yonglong Tian; Han Zhang 010; Jarred Barber; Dina Katabi; Guillaume Lajoie; Huiwen Chang; Dilip Krishnan (ICLR, 2024)

Return of Unconditional Generation: A Self-supervised Representation Generation Method. - Tianhong Li; Dina Katabi; Kaiming He (NeurIPS, 2024)

Autoregressive Image Generation without Vector Quantization. - Tianhong Li; Yonglong Tian; He Li; Mingyang Deng; Kaiming He (NeurIPS, 2024)

A Machine-Learning-Based Framework for Retrieving Water Quality Parameters in Urban Rivers Using UAV Hyperspectral Images. - Bing Liu; Tianhong Li (Remote. Sens., 2024)

Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens. - Lijie Fan; Tianhong Li; Siyang Qin; Yuanzhen Li; Chen Sun 002; Michael Rubinstein; Deqing Sun; Kaiming He; Yonglong Tian (ICLR, 2025)

CellFlow: Simulating Cellular Morphology Changes via Flow Matching. - Yuhui Zhang; Yuchang Su; Chenyu Wang 003; Tianhong Li; Zoe Wefers; Jeffrey J. Nirschl; James Burgess; Daisy Ding; Alejandro Lozano; Emma Lundberg; Serena Yeung-Levy (CoRR, 2025)

Fractal Generative Models. - Tianhong Li; Qinyi Sun; Lijie Fan; Kaiming He (CoRR, 2025)

Unified Autoregressive Visual Generation and Understanding with Continuous Tokens. - Lijie Fan; Luming Tang; Siyang Qin; Tianhong Li; Xuan Yang; Siyuan Qiao; Andreas Steiner 001; Chen Sun 002; Yuanzhen Li; Tao Zhu; Michael Rubinstein; Michalis Raptis; et al. (CoRR, 2025)

Latent Denoising Makes Good Visual Tokenizers. - Jiawei Yang; Tianhong Li; Lijie Fan; Yonglong Tian; Yue Wang (CoRR, 2025)