🤵🏻 About Me
I am a second-year Ph.D. student at the Department of Computer Science and Technology of Nanjing University advised by Professor Yu-Feng Li (李宇峰), and a member of LAMDA Group (机器学习与数据挖掘研究所), which is led by Professor Zhi-Hua Zhou (周志华).
I received my B.Sc. degree from the Department of Computer Science and Technology of Jilin University. In September 2022, I was admitted to study for a Ph.D. degree at Nanjing University without an entrance examination.
📝 Publication 
Conference Papers
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A Benchmark on Robust Semi-Supervised Learning in Open Environments.
Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li.
In: Proceedings of the 12th International Conference on Learning Representations, 2024.
ICLR 2024. -
HONGAT: Graph Attention Networks in the Presence of High-Order Neighbors.
Heng-Kai Zhang, Yi-Ge Zhang, Zhi Zhou, Yu-Feng Li.
In: Proceedings of the 38th AAAI conference on Artificial Intelligence, Vancouver, 2024.
AAAI 2024. CCF-A. -
Robust Test-Time Adaptation for Zero-Shot Prompt Tuning.
Ding-Chu Zhang, Zhi Zhou (co-first author), Yu-Feng Li.
In: Proceedings of the 38th AAAI conference on Artificial Intelligence, Vancouver, 2024.
AAAI 2024. CCF-A. [Paper] [Code] [Poster] [Slide] -
ODS: Test-Time Adaptation in the Presence of Open-World Data Shift.
Zhi Zhou, Lan-Zhe Guo, Lin-Han Jia, Ding-Chu Zhang, Yu-Feng Li.
In: Proceedings of the 40th International Conference on Machine Learning, Hawaii, 2023. Page: 42574-42588.
ICML 2023. Oral Presentation. CCF-A. [Paper] [Code] [Poster] [Slide] [Video] -
Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions.
Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Yu-Ke Xiang, Yu-Feng Li.
In: Proceedings of the 40th International Conference on Machine Learning, Hawaii, 2023. Page: 14886-14901.
ICML 2023. Oral Presentation. CCF-A. [Paper] [Code] -
Identifying Useful Learnwares for Heterogeneous Label Spaces.
Lan-Zhe Guo, Zhi Zhou (co-first author), Yu-Feng Li, Zhi-Hua Zhou.
In: Proceedings of the 40th International Conference on Machine Learning, Hawaii, 2023. Page: 12122-12131.
ICML 2023. CCF-A. [Paper] [Poster] -
USB: A Unified Semi-supervised Learning Benchmark for Classification.
Yi-Dong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wen-Xin Hou, Ren-Jie Wang, Lin-Yi Yang, Zhi Zhou, Lan-Zhe Guo, He-Li Qi, Zhen Wu, Yu-Feng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jin-Dong Wang, Xing Xie, Yue Zhang.
In: Advances in Neural Information Processing Systems Datasets and Benchmarks, New Orleans, LA, 2022. Page: 3938-3961.
NeurIPS 2022 Datasets and Benchmarks. CCF-A. [Paper] [Code] -
STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data.
Zhi Zhou, Lan-Zhe Guo, Zhan-Zhan Cheng, Yu-Feng Li, Shi-Liang Pu.
In: Advances in Neural Information Processing Systems, Virtual Conference, 2021. Page: 29168-29180.
NeurIPS 2021. CCF-A. [Paper] [Code] [Poster] [Slide] -
Learning from Imbalanced and Incomplete Supervision with Its Application to Ride-Sharing Liability Judgment.
Lan-Zhe Guo, Zhi Zhou (co-first author), Jie-Jing Shao, Yu-Feng Li, and DiDi Collaborators.
In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Singapore, 2021. Page: 487-495.
KDD 2021. CCF-A. [Paper] -
RECORD: Resource Constrained Semi-Supervised Learning under Distribution Shift.
Lan-Zhe Guo, Zhi Zhou, and Yu-Feng Li.
In: Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, San Diego, CA, 2020. Page: 1636-1644.
KDD 2020. CCF-A. [Paper] [Code]
![[Poster]](/resources/ICML2023_ODS_Poster.png){kind=link}
![[Poster]](/resources/ICML2023_learnware_Poster.png){kind=link}
![[Poster]](/resources/NeurIPS2021_STEP_Poster.png){kind=link}
Journal Papers
-
Rts: Learning Robustly from Time Series Data with Noisy Label.
Zhi Zhou, Yi-Xuan Jin, Yu-Feng Li.
Frontiers of Computer Science, 18(6): 186332, 2024.
FCS. CCF-B. [Paper] [Code] -
LAMDA-SSL: A Comprehensive Semi-Supervised Learning Toolkit.
Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li.
Science CHINA Information Science, 67: 117101, 2024.
SCIS. CCF-A. [Arxiv] [Code] -
Towards Robust Test-Time Adaptation for Open-Set Recognition
Zhi Zhou, Ding-Chu Zhang, Yu-Feng Li, Min-Ling Zhang.
Journal of Software (软件学报), 35(4), 2024.
JOS. CCF-A. [Paper]
Other Papers
- You Only Submit One Image to Find the Most Suitable Generative Model
Zhi Zhou, Lan-Zhe Guo, Pengxiao Song, Yu-Feng Li.
NeurIPS 2023 Diffusion Workshop.
[Page]
🛠 Software
- LawGPT: A Large Language Model in the Legal Domain. [GitHub]
- LAMDA-SSL: A Comprehensive and Easy-to-Use Toolkit for Semi-Supervised Learning. [GitHub]
💻 Project
- 2022.06 - 2023.06, Fraud Detection System based on Weakly Supervised Learning, Huawei, China.
- 2021.10 - 2022.05, Housing Sales Customer Rating Model Optimization, Beike (Internship), China.
- 2021.03 - 2022.12, Concept Incremental Learning with Active Anotations, Hikvision, China.
- 2020.07 - 2021.09, Liability Judgment System based on Semi-Supervised Multi-Label Learning, Didi (Internship), China.
🎖 Honor
- 2023.12, National Scholarship, Nanjing University.
- 2023.11, China Mobile Hackathon - University Joint Research Institute Special Competition in Machine Vision and Artificial Intelligence, Nanjing University.
- 2022.06, LAMDA Excellent Student Award, Nanjing University.
- 2022.03, Tencent Scholarship, Nanjing University.
- 2020.06, Top 10 College Student of the Year, Jilin University.
- 2019.12, National Scholarship, Jilin University.
- 2019.10, CCF Collegiate Computer Systems & Programming Contest, Gold Medal (11th), Suzhou.
- 2019.06, Tang Aoqing Honors Program of Research & Practice, Jilin University.
- 2018.12, ACM-ICPC Asia Regional Contest, Gold Medal (19th), EC-Final.
- 2018.11, National Scholarship, Jilin University.
- 2018.10, ACM-ICPC Asia Regional Contest, Gold Medal, Xuzhou.
- 2018.10, ACM-ICPC Asia Regional Contest, Gold Medal (16th), Shenyang.
- 2018.09, China Collegiate Programming Contest, Gold Medal (4th), Qinhuangdao.
- 2018.09, China Collegiate Programming Contest, Gold Medal (10th), Jilin.
- 2018.06, Tang Aoqing Honors Program of Research & Practice, Jilin University.
- 2017.11, National Scholarship, Jilin University.
🤝 Activity
Conference Committee
- Senior Program Committee Member, ACML 2022.
- Program Committee Member, NeurIPS 2022/2023.
- Program Committee Member, ICML 2022/2023/2024.
- Program Committee Member, ICLR 2024.
- Program Committee Member, KDD 2024.
- Program Committee Member, AAAI 2023/2024.
- Program Committee Member, ECAI 2023/2024.
Journal Reviewer
- Reviewer for Machine Learning Journal (MLJ)
- Reviewer for IEEE Transactions on Knowledge and Data Engineering (TKDE)
- Reviewer for Frontiers of Computer Science (FCS)
Teaching Assistant
- 2022.02 - 2022.06, Teaching Assistant for Introduction to Advanced Machine Learning, Nanjing Univeristy.
- 2021.09 - 2022.01, Teaching Assistant for Introduction to Machine Learning, Nanjing Univeristy.
📖 Education
- 2022.09 - Now, Ph.D., Computer Science and Technology, Nanjing University, Nanjing.
- 2020.09 - 2022.06, Master, Computer Science and Technology, Nanjing University, Nanjing.
- 2016.09 - 2020.06. Undergraduate, Tang Aoqing Honors Program (Computer Science and Technology), Jilin University, Jilin.