Congyu Qiao

21 papers A* 8B 1Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
Selective Label Enhancement Learning for Test-Time Adaptation.
ICLR
Yihao Hu, Congyu Qiao, Xin Geng, Ning Xu
2024 A* conf
Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning.
ICML
Ning Xu, Yihao Hu, Congyu Qiao, Xin Geng
2024 J jnl
Reduction-based Pseudo-label Generation for Instance-dependent Partial Label Learning.
CoRR
Congyu Qiao, Ning Xu, Yihao Hu, Xin Geng
2024 A* conf
ULAREF: A Unified Label Refinement Framework for Learning with Inaccurate Supervision.
ICML
Congyu Qiao, Ning Xu, Yihao Hu, Xin Geng
2024 J jnl
Variational Label Enhancement for Instance-Dependent Partial Label Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Ning Xu, Congyu Qiao, Yuchen Zhao, Xin Geng, Min-Ling Zhang
2024 B conf
Variational Label-Correlation Enhancement for Congestion Prediction.
ASPDAC
Biao Liu, Congyu Qiao, Ning Xu, Xin Geng, Ziran Zhu, Jun Yang
2023 A* conf
Decompositional Generation Process for Instance-Dependent Partial Label Learning.
ICLR
Congyu Qiao, Ning Xu, Xin Geng
2023 A* conf
FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning.
ICML
Congyu Qiao, Ning Xu, Jiaqi Lv, Yi Ren, Xin Geng
2023 J jnl
Multi-View Partial Multi-Label Learning via Graph-Fusion-Based Label Enhancement.
IEEE Trans. Knowl. Data Eng.
Ning Xu, Yong-Di Wu, Congyu Qiao, Yi Ren, Minxue Zhang, Xin Geng
2023 A* conf
Progressive Purification for Instance-Dependent Partial Label Learning.
ICML
Ning Xu, Biao Liu, Jiaqi Lv, Congyu Qiao, Xin Geng
2023 J jnl
Variational Label-Correlation Enhancement for Congestion Prediction.
CoRR
Biao Liu, Congyu Qiao, Ning Xu, Xin Geng, Ziran Zhu, Jun Yang
2022 J jnl
Decomposition-based Generation Process for Instance-Dependent Partial Label Learning.
CoRR
Congyu Qiao, Ning Xu, Xin Geng
2022 A* conf
One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement.
NeurIPS
Ning Xu, Congyu Qiao, Jiaqi Lv, Xin Geng, Min-Ling Zhang
2022 J jnl
One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement.
CoRR
Ning Xu, Congyu Qiao, Jiaqi Lv, Xin Geng, Min-Ling Zhang
2022 J jnl
Progressive Purification for Instance-Dependent Partial Label Learning.
CoRR
Ning Xu, Jiaqi Lv, Biao Liu, Congyu Qiao, Xin Geng
2021 A* conf
Instance-Dependent Partial Label Learning.
NeurIPS
Ning Xu, Congyu Qiao, Xin Geng, Min-Ling Zhang
2021 J jnl
Instance-Dependent Partial Label Learning.
CoRR
Ning Xu, Congyu Qiao, Xin Geng, Min-Ling Zhang
2020 — conf
AIM 2020 Challenge on Rendering Realistic Bokeh.
ECCV Workshops (3)
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, Hrishikesh P. S, Melvin Kuriakose, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Saagara M. B, Minnu A. L, Sanjana A. R, Praseeda S, Ge Wu, Xueqin Chen, Tengyao Wang, Max Zheng, Hulk Wong, Jay Zou
2020 J jnl
AIM 2020 Challenge on Rendering Realistic Bokeh.
CoRR
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. Victor Jiji, Hrishikesh P. S, Melvin Kuriakose, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Saagara M. B, Minnu A. L, Sanjana A. R, Praseeda S, Ge Wu, Xueqin Chen, Tengyao Wang, Max Zheng, Hulk Wong, Jay Zou
2020 — conf
BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh.
ECCV Workshops (3)
Ming Qian, Congyu Qiao, Jiamin Lin, Zhenyu Guo, Chenghua Li, Cong Leng, Jian Cheng
2020 J jnl
BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh.
CoRR
Ming Qian, Congyu Qiao, Jiamin Lin, Zhenyu Guo, Chenghua Li, Cong Leng, Jian Cheng