I am a Postdoctoral Associate at MIT CSAIL, working with Prof. Kaiming He. Prior to this, I am very fortunate to be advised by Prof. Dina Katabi while completing my Ph.D. and S.M. at MIT. I received my B.E. in computer science from Yao Class, Tsinghua University.
My research interests lie in representation learning and generative models. I aim to build intelligent visual systems that can understand the world beyond human perception.
News
[12/24] I will serve as an Area Chair for ICLR 2025, ICML 2025, and ICCV 2025.
[09/24] I joined Prof. Kaiming He's group as a Postdoctoral Associate at MIT CSAIL.
[05/24] I defended my Ph.D. thesis: Towards a Unified Framework for Visual Recognition and Generation via Masked Generative Modeling.
Publications
Autoregressive Image Generation without Vector Quantization T. Li, Y. Tian, H. Li, M. Deng, and K. He Neural Information Processing Systems (Neurips), 2024 [Paper][Code][Demo][Hugging Face][Talk] Spotlight Presentation (top 2%)Return of Unconditional Generation: A Self-supervised Representation Generation Method T. Li, D. Katabi, and K. He Neural Information Processing Systems (Neurips), 2024 [Paper][Code][Slides] Oral Presentation (top 0.4%)Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency T. Li, S. Bhardwaj, Y. Tian, H. Zhang, J. Barber, D. Katabi, G. Lajoie, H. Chang, and D. Krishnan International Conference on Learning Representations (ICLR), 2024 [Paper] Spotlight Presentation (top 5%)Reparo: Loss-Resilient Generative Codec for Video Conferencing T. Li, V. Sivaraman, L. Fan, M. Alizadeh, and D. Katabi [Paper]MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis T. Li, H. Chang, S. K. Mishra, H. Zhang, D. Katabi and D. Krishnan Computer Vision and Pattern Recognition (CVPR), 2023 [Paper][Code][MIT News]Targeted Supervised Contrastive Learning for Long-Tailed Recognition T. Li*, P. Cao*, Y. Yuan, L. Fan, Y. Yang, R. Feris, P. Indyk and D. Katabi Computer Vision and Pattern Recognition (CVPR), 2022 [Paper][Code]Making Contrastive Learning Robust to Shortcuts T. Li*, L. Fan*, Y. Yuan, H. He, Y. Tian, R. Feris, P. Indyk and D. Katabi Winter Conference on Applications of Computer Vision (WACV), 2023 [Paper] [Talk] Unsupervised Learning for Human Sensing Using Radio Signals T. Li*, L. Fan*, Y. Yuan* and D. Katabi Winter Conference on Applications of Computer Vision (WACV), 2022 [Paper]In-Home Daily-Life Captioning Using Radio Signals
L. Fan*, T. Li*, Y. Yuan and D. Katabi European Conference on Computer Vision (ECCV), 2020 [Project Page][PDF][arXiv] [Slides] [Demo] [Video] [Talk] [CSAIL News] [TechCrunch] [Engadget] [VentureBeat] Oral PresentationLearning Longterm Representations for Person Re-Identification Using Radio Signals
L. Fan*, T. Li*, R. Fang*, R. Hristov, Y. Yuan and D. Katabi Computer Vision and Pattern Recognition (CVPR), 2020 [Project Page][PDF][arXiv] [Video] [CSAIL News]Label-Free Few Sample Knowledge Distillation for Efficient Network Compression T. Li, J. Li, Z. Liu, C. Zhang Computer Vision and Pattern Recognition (CVPR), 2020 [PDF][Code][Arxiv]Making the Invisible Visible: Action Recognition Through Walls and Occlusions T. Li*, L. Fan*, M. Zhao, Y. Liu and D. Katabi International Conference on Computer Vision (ICCV), 2019 [Project Page][PDF][arXiv][Video][MIT Technology Review]Through-Wall Human Mesh Recovery Using Radio Signals
M. Zhao, Y. Liu, A. Raghu, T. Li, H. Zhao, A. Torralba and D. Katabi International Conference on Computer Vision (ICCV), 2019 [PDF][Website][Arxiv]RF-Based 3D Skeletons
M. Zhao, Y. Tian, H. Zhao, M. Alsheikh, T. Li, R. Hristov, Z. Kabelac, D. Katabi and A. Torralba ACM SIGCOMM, 2018 [PDF][Website]Through-Wall Human Pose Estimation Using Radio Signals
M. Zhao, T. Li, M. Alsheikh, Y. Tian, H. Zhao, A. Torralba and D. Katabi Computer Vision and Pattern Recognition (CVPR), 2018 [PDF][Website] Spotlight PresentationMulti-Scale Dense Networks for Resource Efficient Image Classification
G. Huang, D. Chen, T. Li, F. Wu, L. Maaten, K. Weinberger International Conference on Learning Representations (ICLR), 2018 [PDF][Github] Oral PresentationQuadratic Upper Bound for Recursive Teaching Dimension of Finite VC Classes
L. Hu, R. Wu, T. Li, L. Wang Conference on Learning Theory (COLT), 2017 [PDF]
Recipes
I really love cooking, almost the same as doing research. Here I list some of my favorite recipes as comforts for a child from Hunan, China when he misses his hometown food.