![]() |
侍蒋鑫 Jiang-Xin Shi
Ph.D. Student Supervisor: Professor Yu-Feng Li Email: shijx@lamda.nju.edu.cn |
Currently, I am a first year Ph.D. student from School of Artificial Intelligence in Nanjing University. I am also a member of LAMDA Group, which is led by professor Zhi-Hua Zhou.
Before this, I received my B.Sc. degree from School of Computer Science, Northwestern Polytechnical University in July 2020. In the same year, I was admitted to study for a M.Sc. degree in Department of Computer Science and Technology, Nanjing University without entrance examination.
My research interests include Machine Learning and Data Mining.
Specifically, I am interested in Long-Tailed Learning. Here is a repository maintained by Dr. Tong Wei: [Awesome Long-Tailed Learning]
(* denotes the co-first authors)
Parameter-Efficient Long-Tailed Recognition.
[pdf]
[arxiv]
[code]
Jiang-Xin Shi*, Tong Wei*, Zhi Zhou, Xin-Yan Han, Jie-Jing Shao, Yu-Feng Li.
Preprint.
How Re-sampling Helps for Long-Tail Learning?
[pdf]
[code]
Jiang-Xin Shi*, Tong Wei*, Yuke Xiang, Yu-Feng Li.
The 37th Conference on Neural Information Processing Systems (NeurIPS 2023).
Residual Diverse Ensemble for Long-Tailed Multi-Label Text Classification.
Jiang-Xin Shi*, Tong Wei*, Yu-Feng Li.
SCIENCE CHINA Information Sciences (SCIS). In Press.
A Survey on Extreme Multi-label Learning.
[arxiv]
Tong Wei, Zhen Mao, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang.
Preprint.
Transfer and Share: Semi-Supervised Learning from Long-Tailed Data.
[pdf]
[code]
Tong Wei*, Qian-Yu Liu*, Jiang-Xin Shi, Wei-Wei Tu, Lan-Zhe Guo.
Machine Learning (MLJ).
Prototypical Classifier for Robust Class-Imbalanced Learning.
[pdf]
[code]
Tong Wei*, Jiang-Xin Shi*, Yu-Feng Li, Min-Ling Zhang.
The 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2022).
(PAKDD 2022 Best Paper Award)
Robust Long-Tailed Learning under Label Noise.
[arxiv]
[code]
Tong Wei*, Jiang-Xin Shi*, Wei-Wei Tu, Yu-Feng Li.
Preprint.
Probabilistic Label Tree for Streaming Multi-Label Learning.
[pdf]
[code]
Tong Wei*, Jiang-Xin Shi*, Yu-Feng Li.
The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021).
PAKDD Best Paper Award, 2022
Outstanding Graduate of Northwestern Polytechnical University, 2020
CCF Elite Collegiate Award, 2019
ACM-ICPC Asia Regional Contest Gold Medal, 2018 and 2017
National Scholarship, 2018 and 2017
Reviewer for Conferences: ICML 2023; NeurIPS 2023; ICLR 2024; AAAI 2023, 2024, ECAI 2023, ACML 2022.
Reviewer for Journal: Machine Learning.
Teaching Assistant for Introduction to Advanced Machine Learning, Nanjing Univeristy, Spring, 2022
Teaching Assistant for Introduction to Machine Learning, Nanjing Univeristy, Fall, 2021
Captain of Northwestern Polytechnical University ACM-ICPC Competition Team, 2018
Email: shijx@lamda.nju.edu.cn
Laboratory: Room 113, Computer Science Building, Nanjing University Xianlin Campus, Nanjing, China