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Yuyang Qian

Orcid: 0000-0002-5812-2807

Affiliations:
  • Nanjing University, School of Artificial Intelligence, LAMDA Group, National Key Laboratory for Novel Software Technology, Jiangsu, China
  • SenseTime Research, Hong Kong
  • University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China


According to our database1, Yuyang Qian authored at least 8 papers between 2020 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
TreeLoRA: Efficient Continual Learning via Layer-Wise LoRAs Guided by a Hierarchical Gradient-Similarity Tree.
[BibTeX]
[DOI]
Yu-Yang Qian
,
Yuan-Ze Xu
,
Zhen-Yu Zhang
,
Peng Zhao
,
Zhi-Hua Zhou
CoRR, June, 2025

Provably Efficient RLHF Pipeline: A Unified View from Contextual Bandits.
[BibTeX]
[DOI]
Long-Fei Li
,
Yu-Yang Qian
,
Peng Zhao
,
Zhi-Hua Zhou
CoRR, February, 2025

Adapting to Generalized Online Label Shift by Invariant Representation Learning.
[BibTeX]
[DOI]
Yu-Yang Qian
,
Yi-Han Wang
,
Zhen-Yu Zhang
,
Yuan Jiang
,
Zhi-Hua Zhou
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024
Learning with Asynchronous Labels.
[BibTeX]
[DOI]
Yu-Yang Qian
,
Zhen-Yu Zhang
,
Peng Zhao
,
Zhi-Hua Zhou
ACM Trans. Knowl. Discov. Data, September, 2024

Efficient Non-stationary Online Learning by Wavelets with Applications to Online Distribution Shift Adaptation.
[BibTeX]
[DOI]
Yu-Yang Qian
,
Peng Zhao
,
Yu-Jie Zhang
,
Masashi Sugiyama
,
Zhi-Hua Zhou
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Handling New Class in Online Label Shift.
[BibTeX]
[DOI]
Yu-Yang Qian
,
Yong Bai
,
Zhen-Yu Zhang
,
Peng Zhao
,
Zhi-Hua Zhou
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
Adaptive Learning for Weakly Labeled Streams.
[BibTeX]
[DOI]
Zhen-Yu Zhang
,
Yu-Yang Qian
,
Yu-Jie Zhang
,
Yuan Jiang
,
Zhi-Hua Zhou
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2020
Thinking in Frequency: Face Forgery Detection by Mining Frequency-Aware Clues.
[BibTeX]
[DOI]
Yuyang Qian
,
Guojun Yin
,
Lu Sheng
,
Zixuan Chen
,
Jing Shao
Proceedings of the Computer Vision - ECCV 2020, 2020


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