Shujie Yang

Hi there👋 thanks for visiting my website! I'm a MS student at the Tsinghua-Berkeley Shenzhen Institute @ Tsinghua University, where I am fortunate to be advised by Prof. Kaichen Dong and co-supervised by Prof. Yansong Tang. I affiliated with the Dong lab. Prior to that, I obtained my bachelor's degree in mathematics at Xi'an Jiaotong University (2019-2023) and had wonderful time conducting research at the LUD lab advised by Prof. Minnan Luo.

My research generally focuses on social network, graph neural networks and AI for Science(currently)... In 2023, I spent a spring at VIP Group @ SUSTech to work with Prof. Jinbao Wang.

Please feel free to drop me an Email for any form of communication or collaboration!☘️

Email:  yangsj23 [at] mails [dot] tsinghua [dot] edu [dot] cn  /  yangshujie [at] stu [dot] xjtu [dot] edu [dot] cn

Google Scholar  /  Github

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🔥What's New
Research (* indicates equal contribution)

My primary research interest lies at graph mining (especially knowledge graphs and social networks) and AI for Science, with a particular focus on AI for photonics and TARC.

3DSP AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach
Shujie Yang, Binchi Zhang, Shangbin Feng, Zhaoxuan Tan, Qinghua Zheng, Jun Zhou, Minnan Luo
Proceedings of 2023 Chinese Intelligent Automation Conference

We propose AHEAD: a heterogeneity-aware unsupervised graph anomaly detection approach based on the encoder-decoder framework.

3DSP TwiBot-22: Towards Graph-Based Twitter Bot Detection
Shangbin Feng*, Zhaoxuan Tan*, Herun Wan*, Ningnan Wang*, Zilong Chen*, Binchi Zhang*, Qinghua Zheng, Wenqian Zhang, Zhenyu Lei, Shujie Yang, Xinshun Feng, Qingyue Zhang, Hongrui Wang, Yuhan Liu, Yuyang Bai, Heng Wang, Zijian Cai, Yanbo Wang, Lijing Zheng, Zihan Ma, Jundong Li, Minnan Luo
Proceedings of NeurIPS, Datasets and Benchmarks Track, 2022.
website / GitHub / bibtex / poster

We present TwiBot-22, the largest graph-based Twitter bot detection benchmark to date, which provides diversified entities and relations in Twittersphere and has considerably better annotation quality.

Tsinghua University
Tsinghua-Berkeley Shenzhen Institute

2023.08 - present

M.S. in Data Science and Information Technology
Advisor: Prof. Kaichen Dong
Co-supervised by Prof. Yansong Tang
Xi'an Jiaotong University
School of Mathematics and Statistics

2019.08 - 2023.07

B.E. in Information and Computational Science
Advisor: Prof. Minnan Luo
Academic Experiences
VIP Group @ Southern University of Science and Technology

Visiting Student         2023.02 - 2023.5
Worked on anomaly detection on industrial images.
Mentor: Jinbao Wang
Advisor: Prof. Feng Zheng
Luo lab Undergraduate Division (LUD) @ Xi'an Jiaotong University

Member         2022.10 - present
Conducted research on various topics including social network analysis and heterogeneous graph anomaly detection.
Advisor: Prof. Minnan Luo
  • I have the fortune to work with brilliant mentors, collaborators, and advisors during my undergraduate and I am truly grateful for their guidance and help. If you feel like I can be of some help to your research career, welcome to reach out!☕
  • My Chinese name is 杨舒杰 (Yang, Shujie).
  • I enjoy jogging🏃 and playing badminton🏸️.
  • I'm a huge fan of Stephen Curry🏀,film series Jhon Wick🕶️, cartoon series Jujutsu Kaisen and Chainsaw Man.
  • I love playing Splatoon 3 and Valorant.

Template courtesy: Jon Barron.