Jing Li

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 17

Top Venues

CoRR

Mach. Learn.

IEEE Trans. Image Process.

IJCAI

University of California, San Diego, USA (PHD)

Education History

University of California, San Diego, USA

PHD

Publications

Yinghua Yao, Yuangang Pan, Jing Li, Ivor Tsang, Xin Yao
PROUD: PaRetO-gUided Diffusion Model for Multi-objective Generation. CoRR (2024)
Yinghua Yao, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao
PROUD: PaRetO-gUided diffusion model for multi-objective generation. Mach. Learn. 113 (9) (2024)
Kai Wang, Xiang Lei, Wenxuan Zhou, Saige Cheng, Jing Li
Historical Information-Aided Monitoring of Few-Sample Modes in Industrial Processes With Orthogonal Transferred Projection. IEEE Trans. Ind. Informatics 20 (8) (2024)
Yinghua Yao, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao
Sanitized clustering against confounding bias. Mach. Learn. 113 (6) (2024)
Feiping Nie, Shaojun Shi, Jing Li, Xuelong Li
Implicit Weight Learning for Multi-View Clustering. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Jing Li, Yuangang Pan, Yueming Lyu, Yinghua Yao, Yulei Sui, Ivor W. Tsang
Earning Extra Performance From Restrictive Feedbacks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Tao Zhang, Tianqing Zhu, Jing Li, Wanlei Zhou, Philip S. Yu
Revisiting model fairness via adversarial examples. Knowl. Based Syst. 277 (2023)
Yinghua Yao, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao
Sanitized Clustering against Confounding Bias. CoRR (2023)
Tao Zhang, Tianqing Zhu, Mengde Han, Fengwen Chen, Jing Li, Wanlei Zhou, Philip S. Yu
Fairness in graph-based semi-supervised learning. Knowl. Inf. Syst. 65 (2) (2023)
Tao Zhang, Tianqing Zhu, Jing Li, Mengde Han, Wanlei Zhou, Philip S. Yu
Fairness in Semi-Supervised Learning: Unlabeled Data Help to Reduce Discrimination. IEEE Trans. Knowl. Data Eng. 34 (4) (2022)
Jing Li, Yuangang Pan, Ivor W. Tsang
Taming Overconfident Prediction on Unlabeled Data from Hindsight. CoRR (2021)
Jing Li, Yuangang Pan, Yulei Sui, Ivor W. Tsang
Secure Metric Learning via Differential Pairwise Privacy. IEEE Trans. Inf. Forensics Secur. 15 (2020)
Jing Li, Yuangang Pan, Yulei Sui, Ivor W. Tsang
Secure Metric Learning via Differential Pairwise Privacy. CoRR (2020)
Feiping Nie, Guohao Cai, Jing Li, Xuelong Li
Auto-Weighted Multi-View Learning for Image Clustering and Semi-Supervised Classification. IEEE Trans. Image Process. 27 (3) (2018)
Feiping Nie, Jing Li, Xuelong Li
Self-weighted Multiview Clustering with Multiple Graphs. IJCAI (2017)
Feiping Nie, Jing Li, Xuelong Li
Convex Multiview Semi-Supervised Classification. IEEE Trans. Image Process. 26 (12) (2017)
Feiping Nie, Jing Li, Xuelong Li
Parameter-Free Auto-Weighted Multiple Graph Learning: A Framework for Multiview Clustering and Semi-Supervised Classification. IJCAI (2016)

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Publication Activity (10 Years)

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Jing Li