Tianhong Li - RankMe

53 papers A* 15A 2Journal 31Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DREAM: Where Visual Understanding Meets Text-to-Image Generation. CoRR Chao Li, Tianhong Li, Sai Vidyaranya Nuthalapati, Hong-You Chen, Satya Narayan Shukla, Yonghuan Yang, Jun Xiao, Xiangjun Fan, Aashu Singh, Dina Katabi, Shlok Kumar Mishra
2026	J	`jnl`	Generative Modeling via Drifting. CoRR Mingyang Deng, He Li, Tianhong Li, Yilun Du, Kaiming He
2026	J	`jnl`	Linking water quality assessment to source apportionment with machine learning-assisted WQI, PMF, and SOM: A case study of the Jinma River basin. Ecol. Informatics Qiqi Ding, Haojun Xi, Pinjian Li, Hongzhe Fang, Yibin Yuan, Tianhong Li
2026	J	`jnl`	One-step Latent-free Image Generation with Pixel Mean Flows. CoRR Yiyang Lu, Susie Lu, Qiao Sun, Hanhong Zhao, Zhicheng Jiang, Xianbang Wang, Tianhong Li, Zhengyang Geng, Kaiming He
2026	J	`jnl`	Physiology as Language: Translating Respiration to Sleep EEG. CoRR Kaiwen Zha, Chao Li, Hao He, Peng Cao, Tianhong Li, Ali Mirzazadeh, Ellen Zhang, Jong Woo Lee, Yoon Kim, Dina Katabi
2026	J	`jnl`	Revisiting data imbalance in token-based self-supervised learning. Neurocomputing Daeyoung Han, Hyung Rok Jung, Tianhong Li, Dina Katabi, Jeany Son, Hong Kook Kim, Moongu Jeon
2025	J	`jnl`	Back to Basics: Let Denoising Generative Models Denoise. CoRR Tianhong Li, Kaiming He
2025	J	`jnl`	CellFlow: Simulating Cellular Morphology Changes via Flow Matching. CoRR Yuhui Zhang, Yuchang Su, Chenyu Wang, Tianhong Li, Zoe Wefers, Jeffrey J. Nirschl, James Burgess, Daisy Ding, Alejandro Lozano, Emma Lundberg, Serena Yeung-Levy
2025	A*	`conf`	CellFlux: Simulating Cellular Morphology Changes via Flow Matching. ICML Yuhui Zhang, Yuchang Su, Chenyu Wang, Tianhong Li, Zoe Wefers, Jeffrey J. Nirschl, James Burgess, Daisy Ding, Alejandro Lozano, Emma Lundberg, Serena Yeung-Levy
2025	A*	`conf`	Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens. ICLR Lijie Fan, Tianhong Li, Siyang Qin, Yuanzhen Li, Chen Sun, Michael Rubinstein, Deqing Sun, Kaiming He, Yonglong Tian
2025	J	`jnl`	Fractal Generative Models. CoRR Tianhong Li, Qinyi Sun, Lijie Fan, Kaiming He
2025	J	`jnl`	Fractal Generative Models. Trans. Mach. Learn. Res. Tianhong Li, Qinyi Sun, Lijie Fan, Kaiming He
2025	A*	`conf`	Highly Compressed Tokenizer Can Generate Without Training. ICML Lukas Lao Beyer, Tianhong Li, Xinlei Chen, Sertac Karaman, Kaiming He
2025	J	`jnl`	Highly Compressed Tokenizer Can Generate Without Training. CoRR L. Lao Beyer, Tianhong Li, Xinlei Chen, Sertac Karaman, Kaiming He
2025	J	`jnl`	Latent Denoising Makes Good Visual Tokenizers. CoRR Jiawei Yang, Tianhong Li, Lijie Fan, Yonglong Tian, Yue Wang
2025	J	`jnl`	Unified Autoregressive Visual Generation and Understanding with Continuous Tokens. CoRR Lijie Fan, Luming Tang, Siyang Qin, Tianhong Li, Xuan Yang, Siyuan Qiao, Andreas Steiner, Chen Sun, Yuanzhen Li, Tao Zhu, Michael Rubinstein, Michalis Raptis, Deqing Sun, Radu Soricut
2024	J	`jnl`	A Machine-Learning-Based Framework for Retrieving Water Quality Parameters in Urban Rivers Using UAV Hyperspectral Images. Remote. Sens. Bing Liu, Tianhong Li
2024	A*	`conf`	Autoregressive Image Generation without Vector Quantization. NeurIPS Tianhong Li, Yonglong Tian, He Li, Mingyang Deng, Kaiming He
2024	J	`jnl`	Autoregressive Image Generation without Vector Quantization. CoRR Tianhong Li, Yonglong Tian, He Li, Mingyang Deng, Kaiming He
2024	J	`jnl`	Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens. CoRR Lijie Fan, Tianhong Li, Siyang Qin, Yuanzhen Li, Chen Sun, Michael Rubinstein, Deqing Sun, Kaiming He, Yonglong Tian
2024	A*	`conf`	Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency. ICLR Tianhong Li, Sangnie Bhardwaj, Yonglong Tian, Han Zhang, Jarred Barber, Dina Katabi, Guillaume Lajoie, Huiwen Chang, Dilip Krishnan
2024	A*	`conf`	Return of Unconditional Generation: A Self-supervised Representation Generation Method. NeurIPS Tianhong Li, Dina Katabi, Kaiming He
2023	A	`conf`	Addressing Feature Suppression in Unsupervised Visual Representations. WACV Tianhong Li, Lijie Fan, Yuan Yuan, Hao He, Yonglong Tian, Rogério Feris, Piotr Indyk, Dina Katabi
2023	J	`jnl`	Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency. CoRR Tianhong Li, Sangnie Bhardwaj, Yonglong Tian, Han Zhang, Jarred Barber, Dina Katabi, Guillaume Lajoie, Huiwen Chang, Dilip Krishnan
2023	A*	`conf`	MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis. CVPR Tianhong Li, Huiwen Chang, Shlok Kumar Mishra, Han Zhang, Dina Katabi, Dilip Krishnan
2023	J	`jnl`	Reparo: Loss-Resilient Generative Codec for Video Conferencing. CoRR Tianhong Li, Vibhaalakshmi Sivaraman, Lijie Fan, Mohammad Alizadeh, Dina Katabi
2023	J	`jnl`	Self-conditioned Image Generation via Generating Representations. CoRR Tianhong Li, Dina Katabi, Kaiming He
2022	J	`jnl`	MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis. CoRR Tianhong Li, Huiwen Chang, Shlok Kumar Mishra, Han Zhang, Dina Katabi, Dilip Krishnan
2022	A*	`conf`	Targeted Supervised Contrastive Learning for Long-Tailed Recognition. CVPR Tianhong Li, Peng Cao, Yuan Yuan, Lijie Fan, Yuzhe Yang, Rogério Feris, Piotr Indyk, Dina Katabi
2022	A	`conf`	Unsupervised Learning for Human Sensing Using Radio Signals. WACV Tianhong Li, Lijie Fan, Yuan Yuan, Dina Katabi
2022	J	`jnl`	Unsupervised Learning for Human Sensing Using Radio Signals. CoRR Tianhong Li, Lijie Fan, Yuan Yuan, Dina Katabi
2021	J	`jnl`	Targeted Supervised Contrastive Learning for Long-Tailed Recognition. CoRR Tianhong Li, Peng Cao, Yuan Yuan, Lijie Fan, Yuzhe Yang, Rogério Feris, Piotr Indyk, Dina Katabi
2021	—	`conf`	Vibration analysis for marine radar frequency synthesis module. CAA SAFEPROCESS Tianhong Li, Zhenyuan Zhang, Darong Huang
2020	A*	`conf`	Few Sample Knowledge Distillation for Efficient Network Compression. CVPR Tianhong Li, Jianguo Li, Zhuang Liu, Changshui Zhang
2020	—	`conf`	In-Home Daily-Life Captioning Using Radio Signals. ECCV (2) Lijie Fan, Tianhong Li, Yuan Yuan, Dina Katabi
2020	J	`jnl`	In-Home Daily-Life Captioning Using Radio Signals. CoRR Lijie Fan, Tianhong Li, Yuan Yuan, Dina Katabi
2020	J	`jnl`	Information-Preserving Contrastive Learning for Self-Supervised Representations. CoRR Tianhong Li, Lijie Fan, Yuan Yuan, Hao He, Yonglong Tian, Dina Katabi
2020	A*	`conf`	Learning Longterm Representations for Person Re-Identification Using Radio Signals. CVPR Lijie Fan, Tianhong Li, Rongyao Fang, Rumen Hristov, Yuan Yuan, Dina Katabi
2020	J	`jnl`	Learning Longterm Representations for Person Re-Identification Using Radio Signals. CoRR Lijie Fan, Tianhong Li, Rongyao Fang, Rumen Hristov, Yuan Yuan, Dina Katabi
2019	A*	`conf`	Making the Invisible Visible: Action Recognition Through Walls and Occlusions. ICCV Tianhong Li, Lijie Fan, Mingmin Zhao, Yingcheng Liu, Dina Katabi
2019	J	`jnl`	Making the Invisible Visible: Action Recognition Through Walls and Occlusions. CoRR Tianhong Li, Lijie Fan, Mingmin Zhao, Yingcheng Liu, Dina Katabi
2019	A*	`conf`	Through-Wall Human Mesh Recovery Using Radio Signals. ICCV Mingmin Zhao, Yingcheng Liu, Aniruddh Raghu, Hang Zhao, Tianhong Li, Antonio Torralba, Dina Katabi
2018	J	`jnl`	An Ensemble of Classifiers Based on Positive and Unlabeled Data in One-Class Remote Sensing Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Ran Liu, Wenkai Li, Xiaoping Liu, Xingcheng Lu, Tianhong Li, Qinghua Guo
2018	J	`jnl`	Knowledge Distillation from Few Samples. CoRR Tianhong Li, Jianguo Li, Zhuang Liu, Changshui Zhang
2018	—	`conf`	Multi-Scale Dense Networks for Resource Efficient Image Classification. ICLR Gao Huang, Danlu Chen, Tianhong Li, Felix Wu, Laurens van der Maaten, Kilian Q. Weinberger
2018	A*	`conf`	RF-based 3D skeletons. SIGCOMM Mingmin Zhao, Yonglong Tian, Hang Zhao, Mohammad Abu Alsheikh, Tianhong Li, Rumen Hristov, Zachary Kabelac, Dina Katabi, Antonio Torralba
2018	A*	`conf`	Through-Wall Human Pose Estimation Using Radio Signals. CVPR Mingmin Zhao, Tianhong Li, Mohammad Abu Alsheikh, Yonglong Tian, Hang Zhao, Antonio Torralba, Dina Katabi
2017	—	`conf`	Exploring Efficient Strategies for Minesweeper. AAAI Workshops Jinzheng Tu, Tianhong Li, Shiteng Chen, Chong Zu, Zhaoquan Gu
2017	J	`jnl`	Multi-Scale Dense Convolutional Networks for Efficient Prediction. CoRR Gao Huang, Danlu Chen, Tianhong Li, Felix Wu, Laurens van der Maaten, Kilian Q. Weinberger
2017	A*	`conf`	Quadratic Upper Bound for Recursive Teaching Dimension of Finite VC Classes. COLT Lunjia Hu, Ruihan Wu, Tianhong Li, Liwei Wang
2017	J	`jnl`	Quadratic Upper Bound for Recursive Teaching Dimension of Finite VC Classes. CoRR Lunjia Hu, Ruihan Wu, Tianhong Li, Liwei Wang
2016	—	`conf`	A web-based computer aided system for liver surgery planning: initial implementation on RayPlus. Image-Guided Procedures Ming Luo, Rong Yuan, Zhi Sun, Tianhong Li, Qingguo Xie
2004	J	`jnl`	Land-use adjustment with a modified soil loss evaluation method supported by GIS. Future Gener. Comput. Syst. Tianhong Li, Jinren Ni, W. X. Ju