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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 13 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Robust Length Prediction: A Perspective from Heavy-Tailed Prompt-Conditioned Distributions.
[BibTeX]
[DOI]
Jing Wang
,
Yu-Yang Qian
,
Ke Xue
,
Chao Qian
,
Peng Zhao
,
Zhi-Hua Zhou
CoRR, April, 2026

Internalizing Agency from Reflective Experience.
[BibTeX]
[DOI]
Rui Ge
,
Yichao Fu
,
Yuyang Qian
,
Junda Su
,
Yiming Zhao
,
Peng Zhao
,
Hao Zhang
CoRR, March, 2026

When Drafts Evolve: Speculative Decoding Meets Online Learning.
[BibTeX]
[DOI]
Yu-Yang Qian
,
Hao-Cong Wu
,
Yichao Fu
,
Hao Zhang
,
Peng Zhao
CoRR, March, 2026

d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation.
[BibTeX]
[DOI]
Yu-Yang Qian
,
Junda Su
,
Lanxiang Hu
,
Peiyuan Zhang
,
Zhijie Deng
,
Peng Zhao
,
Hao Zhang
CoRR, January, 2026

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

Provably Efficient Online RLHF with One-Pass Reward Modeling.
[BibTeX]
[DOI]
Long-Fei Li
,
Yu-Yang Qian
,
Peng Zhao
,
Zhi-Hua Zhou
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 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

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