Junjie Ou

I am currently a fifth-year PhD student in computer science at SJTU, advised by Prof. Xinbing Wang and Prof. Haiming Jin. Previously, I was an undergraduate in the Department of Electrical and Information Engineering in Beijing Jiao Tong University.
My research centers around data mining, machine learning and their broad applications (e.g., information retrieval and recommendation). Now I am also interested in the reasoning study of Large Language Model.
Education
- Ph.D. of Computer Science, Shanghai Jiaotong University, 2018 - now
- B.S. of Communication Enginering (Pilot Class), Beijing Jiaotong University, 2014 - 2018
News
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New!! I am competing in the Quant Chanllenge WorldQuant IQC 2023.
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I am competing in the market maker coding challenge ReadyTraderGo.
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Welcome to use our new released knowledge graph based semantic search system designed for the DDE project, the system is online here - AceKG Seach System.
Publications
- Open-World Graph Active Learning for Node Classification.
- Hui Xu, Liyao Xiang, Junjie Ou, Yuting Weng, Xinbing Wang, Chenghu Zhou.
- TKDD 23: ACM Transactions on Knowledge Discovery from Data.
- Junjie Ou, Haiming Jin, Xiaocheng Wang, Hao Jiang, Xinbing Wang, Chenghu Zhou.
- TKDD 23: ACM Transactions on Knowledge Discovery from Data.
- Yi Xu, Junjie Ou, Hui Xu, Luoyi Fu.
- AAAI 23: The 37th AAAI Conference on Artificial Intelligence.
- Ou, Junjie and Sun, Jiahui and Zhu, Yichen and Jin, Haiming and Liu, Yijuan and Zhang, Fan and Huang, Jianqiang and Wang, Xinbing.
- TKDE 22: IEEE Transactions on Knowledge and Data Engineering.
- Ou, Junjie and Sun, Jiahui and Zhu, Yichen and Jin, Haiming and Liu, Yijuan and Zhang, Fan and Huang, Jianqiang and Wang, Xinbing.
- CIKM 20: ACM International Conference on Information & Knowledge Management.
- Yuhang Yao, Junjie Ou, Yang Li, Luoyi Fu, Xinbing Wang, Guihai Chen.
- Big Data Research 2019.
STA-TCN: Spatial-Temporal Attention over Temporal Convolutional Network for Next Point-of-Interest Recommendation.
Temporal Knowledge Graph Reasoning with Historical Contrastive Learning.
STP-TrellisNets+: Spatial-Temporal Parallel TrellisNets for Multi-Step Metro Station Passenger Flow Prediction.
STP-TrellisNets: Spatial-Temporal Parallel TrellisNets for Metro Station Passenger Flow Prediction.
Turing index:cross-domain and cross-generation metric of unraveling scholars' impact in academic big data.
Teaching & Services
- (TA) Engineering for Electronic Information (B).
- EE101 Spring 2019-2020, SJTU IEEE Pilot Class
- EE101 Winter 2020-2021, SJTU IEEE Pilot Class
- Reviewers:
- SIGIR 21/22, AAAI 23
- Infocom 21/22, Mobicom 20/21, TMC 21
- SCIENTIA SINICA Informationis
- Information Sciences
Misc.
My hobbies include music (Cantonese songs, ballads), sports (fitness
, basketball
, etc.)