Qiao, Congyu

11 publications

NeurIPS 2025 Reduction-Based Pseudo-Label Generation for Instance-Dependent Partial Label Learning Congyu Qiao, Ning Xu, Yihao Hu, Xin Geng

ICLR 2025 Selective Label Enhancement Learning for Test-Time Adaptation Yihao Hu, Congyu Qiao, Xin Geng, Ning Xu

ICML 2024 Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning Ning Xu, Yihao Hu, Congyu Qiao, Xin Geng

ICML 2024 ULAREF: A Unified Label Refinement Framework for Learning with Inaccurate Supervision Congyu Qiao, Ning Xu, Yihao Hu, Xin Geng

ICLR 2023 Decompositional Generation Process for Instance-Dependent Partial Label Learning Congyu Qiao, Ning Xu, Xin Geng

ICML 2023 FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning Congyu Qiao, Ning Xu, Jiaqi Lv, Yi Ren, Xin Geng

ICML 2023 Progressive Purification for Instance-Dependent Partial Label Learning Ning Xu, Biao Liu, Jiaqi Lv, Congyu Qiao, Xin Geng

NeurIPS 2022 One Positive Label Is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement Ning Xu, Congyu Qiao, Jiaqi Lv, Xin Geng, Min-Ling Zhang

NeurIPS 2021 Instance-Dependent Partial Label Learning Ning Xu, Congyu Qiao, Xin Geng, Min-Ling Zhang

ECCVW 2020 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, Juewen Peng, Xianrui Luo, Ke Xian, Zijin Wu, Zhiguo Cao, Densen Puthussery, C. V. Jiji, P. S Hrishikesh, Melvin Kuriakose, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, M. B Saagara, A. L Minnu, A. R Sanjana, Praseeda S, Ge Wu, Xueqin Chen, Tengyao Wang, Max Zheng, Hulk Wong, Jay Zou

ECCVW 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