Thinking in Frequency: Face Forgery Detection by Mining Frequency-Aware Clues. - Yuyang Qian 001; Guojun Yin; Lu Sheng; Zixuan Chen; Jing Shao (ECCV (12), 2020)

Adaptive Learning for Weakly Labeled Streams. - Zhen-Yu Zhang; Yu-Yang Qian 001; Yu-Jie Zhang; Yuan Jiang 001; Zhi-Hua Zhou (KDD, 2022)

Handling New Class in Online Label Shift. - Yu-Yang Qian 001; Yong Bai; Zhen-Yu Zhang; Peng Zhao 006; Zhi-Hua Zhou (ICDM, 2023)

Efficient Non-stationary Online Learning by Wavelets with Applications to Online Distribution Shift Adaptation. - Yu-Yang Qian 001; Peng Zhao 006; Yu-Jie Zhang; Masashi Sugiyama; Zhi-Hua Zhou (ICML, 2024)

Learning with Asynchronous Labels. - Yu-Yang Qian 001; Zhen-Yu Zhang; Peng Zhao 006; Zhi-Hua Zhou (ACM Trans. Knowl. Discov. Data, 2024)

Adapting to Generalized Online Label Shift by Invariant Representation Learning. - Yu-Yang Qian 001; Yi-Han Wang; Zhen-Yu Zhang; Yuan Jiang 001; Zhi-Hua Zhou (KDD (1), 2025)

Provably Efficient RLHF Pipeline: A Unified View from Contextual Bandits. - Long-Fei Li; Yu-Yang Qian 001; Peng Zhao 006; Zhi-Hua Zhou (CoRR, 2025)

TreeLoRA: Efficient Continual Learning via Layer-Wise LoRAs Guided by a Hierarchical Gradient-Similarity Tree. - Yu-Yang Qian 001; Yuan-Ze Xu; Zhen-Yu Zhang; Peng Zhao 006; Zhi-Hua Zhou (CoRR, 2025)