Tao Feng

According to our database, Tao Feng authored at least 38 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Lumos-Nexus: Efficient Frequency Bridging with Homogeneous Latent Space for Video Unified Models.

Jiazheng Xing, Hangjie Yuan, Lingling Cai, Xinyu Liu, Yujie Wei, Fei Du, Hai Ci, Tao Feng, Jiasheng Tang, Weihua Chen, Fan Wang, Yong Liu

CoRR, May, 2026

RotMoLE: Enhancing Mixture of Low-Rank Experts through Rotational Gating Mechanism.

Mengyang Sun, Maochuan Dou, Tao Feng, Dan Zhang, Yihao Wang, Junpeng Liu, Yifan Zhu, Jie Tang

CoRR, May, 2026

A Faster Path to Continual Learning.

Wei Li, Hangjie Yuan, Zixiang Zhao, Borui Kang, Ziwei Liu, Tao Feng

CoRR, April, 2026

Zoom to Essence: Trainless GUI Grounding by Inferring upon Interface Elements.

Ziwei Liu, Tao Feng, Borui Kang, Yanbing Yang, Jun Luo

CoRR, March, 2026

Why Does RL Generalize Better Than SFT? A Data-Centric Perspective on VLM Post-Training.

Aojun Lu, Tao Feng, Hangjie Yuan, Wei Li, Yanan Sun

CoRR, February, 2026

OmniRAG-Agent: Agentic Omnimodal Reasoning for Low-Resource Long Audio-Video Question Answering.

Yifan Zhu, Xinyu Mu, Tao Feng, Zhonghong Ou, Yuning Gong, Haoran Luo

CoRR, February, 2026

Continual GUI Agents.

Ziwei Liu, Borui Kang, Hangjie Yuan, Zixiang Zhao, Wei Li, Yifan Zhu, Tao Feng

CoRR, January, 2026

CogFlow: Bridging Perception and Reasoning through Knowledge Internalization for Visual Mathematical Problem Solving.

Shuhang Chen, Yunqiu Xu, Junjie Xie, Aojun Lu, Tao Feng, Zeying Huang, Ning Zhang, Yi Sun, Yi Yang, Hangjie Yuan

CoRR, January, 2026

Adapt Before Continual Learning.

Aojun Lu, Tao Feng, Hangjie Yuan, Chunhui Ding, Yanan Sun

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Branch, or Layer? Zeroth-Order Optimization for Continual Learning of Vision-Language Models.

Ziwei Liu, Borui Kang, Wei Li, Hangjie Yuan, Yanbing Yang, Wenbin Li, Yifan Zhu, Tao Feng, Jun Luo

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

C-Flat++: Towards a More Efficient and Powerful Framework for Continual Learning.

Wei Li, Hangjie Yuan, Zixiang Zhao, Yifan Zhu, Aojun Lu, Tao Feng, Yanan Sun

CoRR, August, 2025

Lumos-1: On Autoregressive Video Generation from a Unified Model Perspective.

Hangjie Yuan, Weihua Chen, Jun Cen, Hu Yu, Jingyun Liang, Shuning Chang, Zhihui Lin, Tao Feng, Pengwei Liu, Jiazheng Xing, Hao Luo, Jiasheng Tang, Fan Wang, Yi Yang

CoRR, July, 2025

MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems.

Felix Chen, Hangjie Yuan, Yunqiu Xu, Tao Feng, Jun Cen, Pengwei Liu, Zeying Huang, Yi Yang

CoRR, March, 2025

Generative Artificial Intelligence in Robotic Manipulation: A Survey.

Kun Zhang, Peng Yun, Jun Cen, Junhao Cai, Didi Zhu, Hangjie Yuan, Chao Zhao, Tao Feng, Michael Yu Wang, Qifeng Chen, Jia Pan, Wei Zhang, Bo Yang, Hua Chen

CoRR, March, 2025

Parameter-Efficient Fine-Tuning for Foundation Models.

Dan Zhang, Tao Feng, Lilong Xue, Yuandong Wang, Yuxiao Dong, Jie Tang

CoRR, January, 2025

Class-Incremental Player Detection With Refined Response-Based Knowledge Distillation.

Liang Bai, Hangjie Yuan, Hong Song, Tao Feng, Jian Yang

IEEE Trans. Instrum. Meas., 2025

Visible light human activity recognition driven by generative language model.

Yanbing Yang, Ziwei Liu, Yongkun Chen, Binyu Yan, Yimao Sun, Tao Feng

Inf. Fusion, 2025

Behavior-Pred: A semantic-enhanced trajectory pre-training framework for motion forecasting.

Jianxin Shi, Jinhao Chen, Yuandong Wang, Tao Feng, Zhen Yang, Tianyu Wo

Inf. Fusion, 2025

Multi-label feature selection with feature reconstruction and label correlations.

Ning Zhang, Ao Wang, Pengwei Lu, Tao Feng, Ying Xu, Guodong Du

Expert Syst. Appl., 2025

A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models.

Mengyang Sun, Yihao Wang, Tao Feng, Dan Zhang, Yifan Zhu, Jie Tang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective.

Aojun Lu, Hangjie Yuan, Tao Feng, Yanan Sun

Proceedings of the Forty-second International Conference on Machine Learning, 2025

ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think.

Tao Feng, Wei Li, Didi Zhu, Hangjie Yuan, Wendi Zheng, Dan Zhang, Jie Tang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

SAMora: Enhancing SAM through Hierarchical Self-Supervised Pre-Training for Medical Images.

Shuhang Chen, Hangjie Yuan, Pengwei Liu, Hanxue Gu, Tao Feng, Dong Ni

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

UniGrad-FS: Unified Gradient Projection With Flatter Sharpness for Continual Learning.

Wei Li, Tao Feng, Hangjie Yuan, Ang Bian, Guodong Du, Sixin Liang, Jianhong Gan, Ziwei Liu

IEEE Trans. Ind. Informatics, December, 2024

Hospital readmission prediction with hybrid-sampling and self-paced balance learning.

Ying Xu, Ning Zhang, Ao Wang, Tao Feng, Guodong Du

Concurr. Comput. Pract. Exp., August, 2024

Learning to cluster person via graph convolution networks for video-based person re-identification.

Wei Li, Tao Feng, Guodong Du, Sixin Liang, Ang Bian

Concurr. Comput. Pract. Exp., August, 2024

Revisiting class-incremental object detection: An efficient approach via intrinsic characteristics alignment and task decoupling.

Liang Bai, Hong Song, Tao Feng, Tianyu Fu, Qingzhe Yu, Jian Yang

Expert Syst. Appl., 2024

BattleAgentBench: A Benchmark for Evaluating Cooperation and Competition Capabilities of Language Models in Multi-Agent Systems.

Wei Wang, Dan Zhang, Tao Feng, Boyan Wang, Jie Tang

CoRR, 2024

Make Continual Learning Stronger via C-Flat.

Ang Bian, Wei Li, Hangjie Yuan, Chengrong Yu, Zixiang Zhao, Mang Wang, Aojun Lu, Tao Feng

CoRR, 2024

Make Continual Learning Stronger via C-Flat.

Ang Bian, Wei Li, Hangjie Yuan, Chengrong Yu, Mang Wang, Zixiang Zhao, Aojun Lu, Pengliang Ji, Tao Feng

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Revisiting Neural Networks for Continual Learning: An Architectural Perspective.

Aojun Lu, Tao Feng, Hangjie Yuan, Xiaotian Song, Yanan Sun

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

InstructVideo: Instructing Video Diffusion Models with Human Feedback.

Hangjie Yuan, Shiwei Zhang, Xiang Wang, Yujie Wei, Tao Feng, Yining Pan, Yingya Zhang, Ziwei Liu, Samuel Albanie, Dong Ni

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Refined Response Distillation for Class-Incremental Player Detection.

Liang Bai, Hangjie Yuan, Tao Feng, Hong Song, Jian Yang

CoRR, 2023

RLIPv2: Fast Scaling of Relational Language-Image Pre-training.

Hangjie Yuan, Shiwei Zhang, Xiang Wang, Samuel Albanie, Yining Pan, Tao Feng, Jianwen Jiang, Dong Ni, Yingya Zhang, Deli Zhao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Progressive Learning without Forgetting.

Tao Feng, Hangjie Yuan, Mang Wang, Ziyuan Huang, Ang Bian, Jianzhou Zhang

CoRR, 2022

RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection.

Hangjie Yuan, Jianwen Jiang, Samuel Albanie, Tao Feng, Ziyuan Huang, Dong Ni, Mingqian Tang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation.

Tao Feng, Mang Wang, Hangjie Yuan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Towards Mask-robust Face Recognition.

Tao Feng, Liangpeng Xu, Hangjie Yuan, Yongfei Zhao, Mingqian Tang, Mang Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021