Ning Xu

According to our database, Ning Xu authored at least 44 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

LAMPlace: Legalization-Aided Reinforcement Learning-Based Macro Placement for Mixed-Size Designs With Preplaced Blocks.

Hao Gu, Jian Gu, Keyu Peng, Ziran Zhu, Ning Xu, Xin Geng, Jun Yang

IEEE Trans. Circuits Syst. II Express Briefs, August, 2024

Variational Continuous Label Distribution Learning for Multi-Label Text Classification.

Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng

IEEE Trans. Knowl. Data Eng., June, 2024

On the Robustness of Average Losses for Partial-Label Learning.

Jiaqi Lv, Biao Liu, Lei Feng, Ning Xu, Miao Xu, Bo An, Gang Niu, Xin Geng, Masashi Sugiyama

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Progressively Selective Label Enhancement for Language Model Alignment.

Biao Liu, Ning Xu, Xin Geng

CoRR, 2024

ULAREF: A Unified Label Refinement Framework for Learning with Inaccurate Supervision.

Congyu Qiao, Ning Xu, Yihao Hu, Xin Geng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning with Partial-Label and Unlabeled Data: A Uniform Treatment for Supervision Redundancy and Insufficiency.

Yangfan Liu, Jiaqi Lv, Xin Geng, Ning Xu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Correlation-Induced Label Prior for Semi-Supervised Multi-Label Learning.

Biao Liu, Ning Xu, Xiangyu Fang, Xin Geng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning.

Ning Xu, Yihao Hu, Congyu Qiao, Xin Geng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Variational Label-Correlation Enhancement for Congestion Prediction.

Biao Liu, Congyu Qiao, Ning Xu, Xin Geng, Ziran Zhu, Jun Yang

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023

Trusted-Data-Guided Label Enhancement on Noisy Labels.

Ning Xu, Jia-Yu Li, Yun-Peng Liu, Xin Geng

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Multi-View Partial Multi-Label Learning via Graph-Fusion-Based Label Enhancement.

Ning Xu, Yong-Di Wu, Congyu Qiao, Yi Ren, Minxue Zhang, Xin Geng

IEEE Trans. Knowl. Data Eng., November, 2023

Progressive Enhancement of Label Distributions for Partial Multilabel Learning.

Ning Xu, Yun-Peng Liu, Yan Zhang, Xin Geng

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Variational Label Enhancement.

Ning Xu, Jun Shu, RenYi Zheng, Xin Geng, Deyu Meng, Min-Ling Zhang

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Fast Label Enhancement for Label Distribution Learning.

Ke Wang, Ning Xu, Miaogen Ling, Xin Geng

IEEE Trans. Knowl. Data Eng., 2023

Continuous label distribution learning.

Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng

Pattern Recognit., 2023

Can Class-Priors Help Single-Positive Multi-Label Learning?

Biao Liu, Jie Wang, Ning Xu, Xin Geng

CoRR, 2023

Learning From Biased Soft Labels.

Hua Yuan, Ning Xu, Yu Shi, Xin Geng, Yong Rui

CoRR, 2023

Learning From Biased Soft Labels.

Hua Yuan, Yu Shi, Ning Xu, Xu Yang, Xin Geng, Yong Rui

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unreliable Partial Label Learning with Recursive Separation.

Yu Shi, Ning Xu, Hua Yuan, Xin Geng

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning.

Congyu Qiao, Ning Xu, Jiaqi Lv, Yi Ren, Xin Geng

Proceedings of the International Conference on Machine Learning, 2023

Revisiting Pseudo-Label for Single-Positive Multi-Label Learning.

Biao Liu, Ning Xu, Jiaqi Lv, Xin Geng

Proceedings of the International Conference on Machine Learning, 2023

Progressive Purification for Instance-Dependent Partial Label Learning.

Ning Xu, Biao Liu, Jiaqi Lv, Congyu Qiao, Xin Geng

Proceedings of the International Conference on Machine Learning, 2023

Decompositional Generation Process for Instance-Dependent Partial Label Learning.

Congyu Qiao, Ning Xu, Xin Geng

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards Effective Visual Representations for Partial-Label Learning.

Shiyu Xia, Jiaqi Lv, Ning Xu, Gang Niu, Xin Geng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Imbalanced Label Distribution Learning.

Xingyu Zhao, Yuexuan An, Ning Xu, Jing Wang, Xin Geng

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Feature-Induced Label Distribution for Learning with Noisy Labels.

Minxue Zhang, Ning Xu, Xin Geng

Pattern Recognit. Lett., 2022

Label distribution for multimodal machine learning.

Yi Ren, Ning Xu, Miaogen Ling, Xin Geng

Frontiers Comput. Sci., 2022

Decomposition-based Generation Process for Instance-Dependent Partial Label Learning.

Congyu Qiao, Ning Xu, Xin Geng

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning.

Shiyu Xia, Jiaqi Lv, Ning Xu, Xin Geng

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Fusion Label Enhancement for Multi-Label Learning.

Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Learngene: From Open-World to Your Learning Task.

Qiu-Feng Wang, Xin Geng, Shuxia Lin, Shiyu Xia, Lei Qi, Ning Xu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Label Enhancement for Label Distribution Learning.

Ning Xu, Yun-Peng Liu, Xin Geng

IEEE Trans. Knowl. Data Eng., 2021

Compact learning for multi-label classification.

Jiaqi Lv, Tianran Wu, Cheng-Lun Peng, Yunpeng Liu, Ning Xu, Xin Geng

Pattern Recognit., 2021

Instance-Dependent Partial Label Learning.

Ning Xu, Congyu Qiao, Xin Geng, Min-Ling Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Video Summarization via Label Distributions Dual-Reward.

Yongbiao Gao, Ning Xu, Xin Geng

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Label Distribution for Learning with Noisy Labels.

Yun-Peng Liu, Ning Xu, Yu Zhang, Xin Geng

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Variational Label Enhancement.

Ning Xu, Jun Shu, Yun-Peng Liu, Xin Geng

Proceedings of the 37th International Conference on Machine Learning, 2020

Partial Multi-Label Learning with Label Distribution.

Ning Xu, Yun-Peng Liu, Xin Geng

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Weakly Supervised Multi-Label Learning via Label Enhancement.

Jiaqi Lv, Ning Xu, RenYi Zheng, Xin Geng

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Partial Label Learning via Label Enhancement.

Ning Xu, Jiaqi Lv, Xin Geng

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Labeling Information Enhancement for Multi-label Learning with Low-Rank Subspace.

An Tao, Ning Xu, Xin Geng

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Label Enhancement for Label Distribution Learning.

Ning Xu, An Tao, Xin Geng

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Multi-label Learning with Label Enhancement.

Ruifeng Shao, Ning Xu, Xin Geng

Proceedings of the IEEE International Conference on Data Mining, 2018