Jie-Jing Shao @ LAMDA, NJU-CS
Biography
I am a graduate student from Department of Computer Science & Technology in Nanjing University and a member of LAMDA Group, which is led by professor Zhi-Hua Zhou.
I received my B.Sc. degree from College of Computer Science and Technology (Tang Aoqing Honors Program in Science) at Jilin University in 2019. In the same year, I was admitted to study for a M.Sc. degree in Nanjing University without entrance examination. In 2022, I started to pursue a Ph.D. degree at Nanjing University.
Research Interests
My research interests include Machine Learning and Data Mining. More specifically, I am mainly interested in
Reinforcement Learning with Weak Supervsion
Active and Semi-Supervised Learning
Transfer Learning in Open and Dynamic Environments
Learnware and Ensemble Learning
Publications
Jie-Jing Shao, Lan-Zhe Guo, Xiao-Wen Yang, Yu-Feng Li. LOG: Active Model Adaptation for Label-Efficient OOD Generalization. In: Advances in Neural Information Processing Systems (NeurIPS'22).
Lan-Zhe Guo*, Yi-Ge Zhang*, Zhi-Fan Wu, Jie-Jing Shao, Yu-Feng Li. Robust Semi-Supervised Learning when Not All Classes have Labels. In: Advances in Neural Information Processing Systems (NeurIPS'22).
Jie-Jing Shao*, Xiao-Wen Yang*, Lan-Zhe Guo. Open-Set Learning under Covariate Shift. Machine Learning. (ML'22).
Jie-Jing Shao, Yunlu Xu, Zhanzhan Cheng, Yu-Feng Li. Active Model Adaptation Under Unknown Shift. In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'22).
Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Qi Zhang, Feng Kuang, Gao-Le Li, Zhang-Xun Liu, Guo-Bin Wu, Nan Ma, Qun Li, Yu-Feng Li. Learning from Imbalanced and Incomplete Supervision with Its Application to Ride-Sharing Liability Judgment. In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'21).
Jie-Jing Shao, Zhanzhan Cheng, Yu-Feng Li, Shiliang Pu. Towards Robust Model Reuse in the Presence of Latent Domains. In: Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI'21).
Projects
Multi-Task Learning for Recommendation. (Spark Award by Huawei, department news ) 2022.11
Safe Weakly-Supervised Learning. (with Hikvision) 2021.3 - 2023.2
Liability Judgment System based on Semi-Supervised Multi-Label Learning. (with DiDi) 2020.10 - 2021.2
Fraud Detection System based on Deep Forest. (with Huawei Technologies Co., Ltd) 2020.5 - 2020.12
Awards & Honors
Tencent Scholarship for Doctoral Students, Nanjing University, 2022
Outstanding Graduate Students, Nanjing University, 2021
National Scholarship for Master Students, Nanjing University, 2021
LAMDA Elite Award, Runner-up. 2021
Tang Aoqing Honors Program of Research and Practice Award, First Prize (10000 RMB), Jilin University, 2016.6
ACM-ICPC Asia Regional Contest, 2 Gold Medals, Shenyang, 2015.10 & Dalian, 2016.10
CCPC Regional Contest, Gold Medal (4th place), Changchun, 2016.9
CCPC Northeast Collegiate Programming Contest, Gold Medal (2nd place), Changchun, 2016.9
CCPC Jilin Province Collegiate Programming Contest, 2 Championships, Changchun, 2015.9 & 2016.9
Academic Service
Reviewer for Conferences: ICML 2023; NeurIPS 2023; ICLR 2024; AAAI 2023, 2024; ECAI 2023; ACML 2021, 2022.
Reviewer for Journal: Machine Learning, Neural Networks.
Social Service
Teaching Assistant, Advanced Machine Learning (NJU, For Graduate Students), Spring, 2021
Teaching Assistant, Introduction of Machine Learning (NJU, For Undergraduate Students), Fall, 2020
Student Coach, Jilin University ACM-ICPC Team, 2015-2019
Correspondence
Email: shaojj@lamda.nju.edu.cn or shjjhszs@gmail.com
Address: Jie-Jing Shao, National Key Laboratory for Novel Software Technology, Nanjing University, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China.
(南京市栖霞区仙林大道163号, 南京大学仙林校区, 软件新技术国家重点实验室, 210023.)
邵杰晶