在CVPR、ICML、NeurIPS、ICLR、ICCV、IJCV等人工智能会议及期刊发表论文40余篇，多次入选会议亮点论文，参与VGen和SuperBench（清华大学基础模型中心）等开源项目，GitHub项目累计星标5千余次；长期担任CVPR、ICCV、ICLR、NeurIPS、ICML等国际会议程序高级委员及委员，以及TPAMI、IJCV等国际期刊审稿人；参与多项国际、国家人工智能标准编制工作，涵盖基础模型、智能体、具身智能等。
[1] D Zhang, T Feng, L Xue, Y Wang, Y Dong, J Tang, Parameter-Efficient Fine-tuning for Foundation Models, IJCV 2026
[2] Z Liu, B Kang, H Yuan, Z Zhao, W Li, Y Zhu, T Feng, Continual GUI Agents, ICML 2026
[3] B Kang, J Gu, T Feng, Q Fan, Y Shi, L Wang, W Li, Y Gao, Don't Forget Why You Started: Tackling Dual Forgetting in Vision-Language Continual Learning, ICML 2026
[4] W Li, H Yuan, Z Zhao, B Kang, Z Liu, T Feng, A Faster Path to Continual Learning, CVPR 2026
[5] A Lu, T Feng, H Yuan, W Li, Y Sun. Why Does RL Generalize Better Than SFT? A Data-Centric Perspective on VLM Post-Training, CVPR 2026
[6] H Yuan, W Chen, J Cen, H Yu, J Liang, S Chang, Z Lin, T Feng, P Liu, J Xing, H Luo, J Tang, F Wang, Y Yang, Lumos-1: On Autoregressive Video Generation from a Unified Model Perspective, ICLR 2026
[7] S Chen, Y Xu, J Xie, A Lu, T Feng, Z Huang, N Zhang, Y Sun, Y Yang, CogFlow: Bridging Perception and Reasoning through Knowledge Internalization for Visual Mathematical Problem Solving, ICLR 2026
[8] F Chen, H Yuan, Y Xu, T Feng, J Cen, P Liu, Z Huang, Y Yang, MathFlow: Enhancing the Perceptual Flow of Mllms for Visual Mathematical Problems, ACL 2026
[9] J Xing, H Yuan, L Cai, X Liu, Y Wei, F Du, H Ci, T Feng, J Tang, W Chen, F Wang, Y Liu, Lumos-Nexus: Efficient Frequency Bridging with Homogeneous Latent Space for Video Unified Models, ECCV 2026
[10] T Feng, W Li, D Zhu, H Yuan, W Zheng, D Zhang, J Tang, ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think, ICML 2025
[11] M Sun, Y Wang, T Feng, D Zhang, Y Zhu, J Tang, A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models, ICML 2025
[12] A Lu, H Yuan, T Feng, Y Sun, Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective, ICML 2025
[13] B Kang, L Wang, Z Wu, T Feng, Y Li, Y Gao, W Li, Dynamic Multi-layer Null Space Projection for Vision-Language Continual Learning, ICCV 2025
[14] S Chen, H Yuan, P Liu, H Gu, T Feng, D Ni, SAMora: Enhancing SAM through Hierarchical Self-Supervised Pre-Training for Medical Images, ICCV 2025
[15] A Bian, W Li, H Yuan, C Yu, M Wang, Z Zhao, A Lu, J Pengliang, T Feng, Make Continual Learning Stronger via C-Flat, NeurIPS 2025
[16] H Bai, J Zhang, Z Zhao, Y Wu, L Deng, Y Cui, T Feng, S Xu, Task-driven Image Fusion with Learnable Fusion Loss, CVPR 2024
[17] H Yuan, S Zhang, X Wang, Y Wei, T Feng, Y Pan, Y Zhang, Z Liu, S Albanie, D Ni, InstructVideo: Instructing Video Diffusion Models with Human Feedback, CVPR 2024
[18] H Yuan, S Zhang, X Wang, S Albanie, Y Pan, T Feng, J Jiang, D Ni, Rlipv2: Fast Scaling of Relational Language-image Pre-training, ICCV 2023
[19] H Yuan, J Jiang, S Albanie, T Feng, Z Huang, D Ni, RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection, NeurIPS 2023
[20] T Feng, M Wang, H Yuan, Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation, CVPR 2022
