Jie-Jing Shao @ LAMDA, NJU-CS

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Jie-Jing Shao
Ph.D. Student
Department of Computer Science
National Key Laboratory for Novel Software Technology
Nanjing University

Supervisor: Professor Yu-Feng Li (李宇峰)

Email: shaojj@lamda.nju.edu.cn or shjjhszs@gmail.com

Laboratory: Building of Computer Science and Technology, Xianlin Campus of Nanjing University


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.)

    Visit Number (Since Sep., 2022): contador de visitas gratis