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2020 – today
- 2024
[j2]Ning Xu
, Congyu Qiao, Yuchen Zhao, Xin Geng, Min-Ling Zhang:
Variational Label Enhancement for Instance-Dependent Partial Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11298-11313 (2024)- [c10]Biao Liu, Congyu Qiao, Ning Xu, Xin Geng, Ziran Zhu, Jun Yang:
Variational Label-Correlation Enhancement for Congestion Prediction. ASPDAC 2024: 466-471 - [c9]Ning Xu, Yihao Hu, Congyu Qiao, Xin Geng:
Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning. ICML 2024 - [c8]Congyu Qiao, Ning Xu, Yihao Hu, Xin Geng:
ULAREF: A Unified Label Refinement Framework for Learning with Inaccurate Supervision. ICML 2024 - [i8]Congyu Qiao, Ning Xu, Yihao Hu, Xin Geng:
Reduction-based Pseudo-label Generation for Instance-dependent Partial Label Learning. CoRR abs/2410.20797 (2024) - 2023
- [j1]Ning Xu, Yong-Di Wu, Congyu Qiao, Yi Ren, Minxue Zhang, Xin Geng:
Multi-View Partial Multi-Label Learning via Graph-Fusion-Based Label Enhancement. IEEE Trans. Knowl. Data Eng. 35(11): 11656-11667 (2023) - [c7]Congyu Qiao, Ning Xu, Xin Geng:
Decompositional Generation Process for Instance-Dependent Partial Label Learning. ICLR 2023 - [c6]Congyu Qiao, Ning Xu, Jiaqi Lv, Yi Ren, Xin Geng:
FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning. ICML 2023: 28321-28336 - [c5]Ning Xu, Biao Liu, Jiaqi Lv, Congyu Qiao, Xin Geng:
Progressive Purification for Instance-Dependent Partial Label Learning. ICML 2023: 38551-38565 - [i7]Biao Liu, Congyu Qiao, Ning Xu, Xin Geng, Ziran Zhu, Jun Yang:
Variational Label-Correlation Enhancement for Congestion Prediction. CoRR abs/2308.00529 (2023) - 2022
- [c4]Ning Xu, Congyu Qiao, Jiaqi Lv, Xin Geng, Min-Ling Zhang:
One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement. NeurIPS 2022 - [i6]Congyu Qiao, Ning Xu, Xin Geng:
Decomposition-based Generation Process for Instance-Dependent Partial Label Learning. CoRR abs/2204.03845 (2022) - [i5]Ning Xu, Congyu Qiao, Jiaqi Lv, Xin Geng, Min-Ling Zhang:
One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement. CoRR abs/2206.00517 (2022) - [i4]Ning Xu, Jiaqi Lv, Biao Liu, Congyu Qiao, Xin Geng:
Progressive Purification for Instance-Dependent Partial Label Learning. CoRR abs/2206.00830 (2022) - 2021
- [c3]Ning Xu, Congyu Qiao, Xin Geng, Min-Ling Zhang:
Instance-Dependent Partial Label Learning. NeurIPS 2021: 27119-27130 - [i3]Ning Xu, Congyu Qiao, Xin Geng, Min-Ling Zhang:
Instance-Dependent Partial Label Learning. CoRR abs/2110.12911 (2021) - 2020
- [c2]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:
AIM 2020 Challenge on Rendering Realistic Bokeh. ECCV Workshops (3) 2020: 213-228 - [c1]Ming Qian, Congyu Qiao, Jiamin Lin, Zhenyu Guo, Chenghua Li, Cong Leng, Jian Cheng:
BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh. ECCV Workshops (3) 2020: 229-244 - [i2]Ming Qian, Congyu Qiao, Jiamin Lin, Zhenyu Guo, Chenghua Li, Cong Leng, Jian Cheng:
BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh. CoRR abs/2011.02242 (2020) - [i1]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:
AIM 2020 Challenge on Rendering Realistic Bokeh. CoRR abs/2011.04988 (2020)
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