Tao Feng

Orcid: 0000-0001-5571-8018

Affiliations:
  • Tsinghua University, Department of Computer Science and Technology, Knowledge Engineering Group, KEG, China
  • Sichuan University, College of Computer Science, Chengdu, China (PhD 2023)
  • Alibaba Group


According to our database1, Tao Feng authored at least 22 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Adapt before Continual Learning.
CoRR, June, 2025

Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective.
CoRR, June, 2025

A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models.
CoRR, February, 2025

Parameter-Efficient Fine-Tuning for Foundation Models.
CoRR, January, 2025

ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think.
CoRR, January, 2025

Class-Incremental Player Detection With Refined Response-Based Knowledge Distillation.
IEEE Trans. Instrum. Meas., 2025

Multi-label feature selection with feature reconstruction and label correlations.
Expert Syst. Appl., 2025

2024
UniGrad-FS: Unified Gradient Projection With Flatter Sharpness for Continual Learning.
IEEE Trans. Ind. Informatics, December, 2024

Hospital readmission prediction with hybrid-sampling and self-paced balance learning.
Concurr. Comput. Pract. Exp., August, 2024

Learning to cluster person via graph convolution networks for video-based person re-identification.
Concurr. Comput. Pract. Exp., August, 2024

Revisiting class-incremental object detection: An efficient approach via intrinsic characteristics alignment and task decoupling.
Expert Syst. Appl., 2024

BattleAgentBench: A Benchmark for Evaluating Cooperation and Competition Capabilities of Language Models in Multi-Agent Systems.
CoRR, 2024

Make Continual Learning Stronger via C-Flat.
CoRR, 2024

Make Continual Learning Stronger via C-Flat.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Revisiting Neural Networks for Continual Learning: An Architectural Perspective.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

InstructVideo: Instructing Video Diffusion Models with Human Feedback.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Refined Response Distillation for Class-Incremental Player Detection.
CoRR, 2023

RLIPv2: Fast Scaling of Relational Language-Image Pre-training.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Progressive Learning without Forgetting.
CoRR, 2022

RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Towards Mask-robust Face Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021


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