AIM 2020 Challenge on Rendering Realistic Bokeh. - Andrey Ignatov; Radu Timofte; Ming Qian; Congyu Qiao; Jiamin Lin; Zhenyu Guo; Chenghua Li; Cong Leng; Jian Cheng 001; Juewen Peng; Xianrui Luo; Ke Xian; et al. (ECCV Workshops (3), 2020)

BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh. - Ming Qian; Congyu Qiao; Jiamin Lin; Zhenyu Guo; Chenghua Li; Cong Leng; Jian Cheng 001 (ECCV Workshops (3), 2020)

Instance-Dependent Partial Label Learning. - Ning Xu 009; Congyu Qiao; Xin Geng 001; Min-Ling Zhang (NeurIPS, 2021)

One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement. - Ning Xu 009; Congyu Qiao; Jiaqi Lv; Xin Geng 001; Min-Ling Zhang (NeurIPS, 2022)

Decomposition-based Generation Process for Instance-Dependent Partial Label Learning. - Congyu Qiao; Ning Xu 009; Xin Geng 001 (CoRR, 2022)

Decompositional Generation Process for Instance-Dependent Partial Label Learning. - Congyu Qiao; Ning Xu 009; Xin Geng 001 (ICLR, 2023)

Progressive Purification for Instance-Dependent Partial Label Learning. - Ning Xu 009; Biao Liu; Jiaqi Lv; Congyu Qiao; Xin Geng 001 (ICML, 2023)

FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning. - Congyu Qiao; Ning Xu 009; Jiaqi Lv; Yi Ren; Xin Geng 001 (ICML, 2023)

Multi-View Partial Multi-Label Learning via Graph-Fusion-Based Label Enhancement. - Ning Xu 009; Yong-Di Wu; Congyu Qiao; Yi Ren; Minxue Zhang; Xin Geng 001 (IEEE Trans. Knowl. Data Eng., 2023)

Variational Label-Correlation Enhancement for Congestion Prediction. - Biao Liu; Congyu Qiao; Ning Xu 009; Xin Geng 001; Ziran Zhu; Jun Yang 006 (ASPDAC, 2024)

Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning. - Ning Xu 009; Yihao Hu 004; Congyu Qiao; Xin Geng 001 (ICML, 2024)

ULAREF: A Unified Label Refinement Framework for Learning with Inaccurate Supervision. - Congyu Qiao; Ning Xu 009; Yihao Hu 004; Xin Geng 001 (ICML, 2024)

Reduction-based Pseudo-label Generation for Instance-dependent Partial Label Learning. - Congyu Qiao; Ning Xu 009; Yihao Hu 004; Xin Geng 001 (CoRR, 2024)

Variational Label Enhancement for Instance-Dependent Partial Label Learning. - Ning Xu 009; Congyu Qiao; Yuchen Zhao; Xin Geng 001; Min-Ling Zhang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Selective Label Enhancement Learning for Test-Time Adaptation. - Yihao Hu 004; Congyu Qiao; Xin Geng 001; Ning Xu 009 (ICLR, 2025)