Ning Xu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 42

Top Topics

Weakly Supervised

Video Summarization

Generation Process

Multi Label Learning

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Biao Liu, Congyu Qiao, Ning Xu, Xin Geng, Ziran Zhu, Jun Yang
Variational Label-Correlation Enhancement for Congestion Prediction. ASPDAC (2024)
Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng
Variational Continuous Label Distribution Learning for Multi-Label Text Classification. IEEE Trans. Knowl. Data Eng. 36 (6) (2024)
Hao Gu, Jian Gu, Keyu Peng, Ziran Zhu, Ning Xu, Xin Geng, Jun Yang
LAMPlace: Legalization-Aided Reinforcement Learning-Based Macro Placement for Mixed-Size Designs With Preplaced Blocks. IEEE Trans. Circuits Syst. II Express Briefs 71 (8) (2024)
Jiaqi Lv, Biao Liu, Lei Feng, Ning Xu, Miao Xu, Bo An, Gang Niu, Xin Geng, Masashi Sugiyama
On the Robustness of Average Losses for Partial-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Ning Xu, Yun-Peng Liu, Yan Zhang, Xin Geng
Progressive Enhancement of Label Distributions for Partial Multilabel Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Xingyu Zhao, Yuexuan An, Ning Xu, Jing Wang, Xin Geng
Imbalanced Label Distribution Learning. AAAI (2023)
Yu Shi, Ning Xu, Hua Yuan, Xin Geng
Unreliable Partial Label Learning with Recursive Separation. IJCAI (2023)
Shiyu Xia, Jiaqi Lv, Ning Xu, Gang Niu, Xin Geng
Towards Effective Visual Representations for Partial-Label Learning. CVPR (2023)
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) (2023)
Ning Xu, Jia-Yu Li, Yun-Peng Liu, Xin Geng
Trusted-Data-Guided Label Enhancement on Noisy Labels. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Biao Liu, Congyu Qiao, Ning Xu, Xin Geng, Ziran Zhu, Jun Yang
Variational Label-Correlation Enhancement for Congestion Prediction. CoRR (2023)
Congyu Qiao, Ning Xu, Xin Geng
Decompositional Generation Process for Instance-Dependent Partial Label Learning. ICLR (2023)
Shiyu Xia, Jiaqi Lv, Ning Xu, Gang Niu, Xin Geng
Towards Effective Visual Representations for Partial-Label Learning. CoRR (2023)
Ning Xu, Biao Liu, Jiaqi Lv, Congyu Qiao, Xin Geng
Progressive Purification for Instance-Dependent Partial Label Learning. ICML (2023)
Ke Wang, Ning Xu, Miaogen Ling, Xin Geng
Fast Label Enhancement for Label Distribution Learning. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Ning Xu, Jun Shu, RenYi Zheng, Xin Geng, Deyu Meng, Min-Ling Zhang
Variational Label Enhancement. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
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)
Biao Liu, Ning Xu, Jiaqi Lv, Xin Geng
Revisiting Pseudo-Label for Single-Positive Multi-Label Learning. ICML (2023)
Ning Xu, Jiaqi Lv, Biao Liu, Congyu Qiao, Xin Geng
Progressive Purification for Instance-Dependent Partial Label Learning. CoRR (2022)
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)
Qiu-Feng Wang, Xin Geng, Shuxia Lin, Shiyu Xia, Lei Qi, Ning Xu
Learngene: From Open-World to Your Learning Task. AAAI (2022)
Yi Ren, Ning Xu, Miaogen Ling, Xin Geng
Label distribution for multimodal machine learning. Frontiers Comput. Sci. 16 (1) (2022)
Shiyu Xia, Jiaqi Lv, Ning Xu, Xin Geng
Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning. IJCAI (2022)
Congyu Qiao, Ning Xu, Xin Geng
Decomposition-based Generation Process for Instance-Dependent Partial Label Learning. CoRR (2022)
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 (2022)
Minxue Zhang, Ning Xu, Xin Geng
Feature-Induced Label Distribution for Learning with Noisy Labels. Pattern Recognit. Lett. 155 (2022)
Jiaqi Lv, Tianran Wu, Cheng-Lun Peng, Yun-Peng Liu, Ning Xu, Xin Geng
Compact learning for multi-label classification. Pattern Recognit. 113 (2021)
Qiufeng Wang, Xin Geng, Shuxia Lin, Shiyu Xia, Lei Qi, Ning Xu
Learngene: From Open-World to Your Learning Task. CoRR (2021)
Ning Xu, Congyu Qiao, Xin Geng, Min-Ling Zhang
Instance-Dependent Partial Label Learning. NeurIPS (2021)
Ning Xu, Yun-Peng Liu, Xin Geng
Label Enhancement for Label Distribution Learning. IEEE Trans. Knowl. Data Eng. 33 (4) (2021)
Ning Xu, Congyu Qiao, Xin Geng, Min-Ling Zhang
Instance-Dependent Partial Label Learning. CoRR (2021)
Yongbiao Gao, Ning Xu, Xin Geng
Video Summarization via Label Distributions Dual-Reward. IJCAI (2021)
Ning Xu, Jun Shu, Yun-Peng Liu, Xin Geng
Variational Label Enhancement. ICML (2020)
Jiaqi Lv, Tianran Wu, Cheng-Lun Peng, Yun-Peng Liu, Ning Xu, Xin Geng
Compact Learning for Multi-Label Classification. CoRR (2020)
Yun-Peng Liu, Ning Xu, Yu Zhang, Xin Geng
Label Distribution for Learning with Noisy Labels. IJCAI (2020)
Ning Xu, Yun-Peng Liu, Xin Geng
Partial Multi-Label Learning with Label Distribution. AAAI (2020)
Ning Xu, Jiaqi Lv, Xin Geng
Partial Label Learning via Label Enhancement. AAAI (2019)
Jiaqi Lv, Ning Xu, RenYi Zheng, Xin Geng
Weakly Supervised Multi-Label Learning via Label Enhancement. IJCAI (2019)
Ruifeng Shao, Ning Xu, Xin Geng
Multi-label Learning with Label Enhancement. ICDM (2018)
Ning Xu, An Tao, Xin Geng
Label Enhancement for Label Distribution Learning. IJCAI (2018)
An Tao, Ning Xu, Xin Geng
Labeling Information Enhancement for Multi-label Learning with Low-Rank Subspace. PRICAI (1) (2018)
Ruifeng Shao, Xin Geng, Ning Xu
Multi-Label Learning with Label Enhancement. CoRR (2017)