Rui Jiao

Biography

I am a second year Ph.D candidate at the Department of Computer Science and Technology (Dept. of CST) at Tsinghua University. I am fortunately advised by Prof. Yang Liu. Prior to that, I received my B.E. degree in 2021 from the Dept. of CST, Tsinghua.

Geometric Graph Neural Networks

Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs
Rui Jiao, Jiaqi Han, Wenbing Huang, Yu Rong, Yang Liu. AAAI 2023.
[Paper][Code]
Interpretable Graph Transformer Network for Predicting Adsorption Isotherms of Metal–Organic Frameworks
Pin Chen*, Rui Jiao*, Jinyu Liu, Yang Liu, Yutong Lu. JCIM.
[Paper][Code][Dataset]

Neural Machine Translation

Alternated Training with Synthetic and Authentic Data for Neural Machine Translation
Rui Jiao, Zonghan Yang, Maosong Sun, Yang Liu. Findings of ACL 2021.
[Paper]

Anomaly Detection

Practical Root Cause Localization for Microservice Systems via Trace Analysis
Zeyan Li, Junjie Chen, Rui Jiao, Nengwen Zhao, Zhijun Wang, Shuwei Zhang, Yanjun Wu, Long Jiang, Leiqin Yan, Zikai Wang, Zhekang Chen, Wenchi Zhang, Xiaohui Nie, Kaixin Sui, Dan Pei. IWQOS 2021.
[Paper][Code]
Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding
Zhihan Li, Youjian Zhao, Jiaqi Han, Ya Su, Rui Jiao, Xidao Wen, Dan Pei. KDD 2021.
[Paper][Code]
Unsupervised Detection of Microservice Trace Anomalies through Service-level Deep Bayesian Networks
Ping Liu, Haowen Xu, Qianyu Ouyang, Rui Jiao, Zhekang Chen, Shenglin Zhang, Jiahai Yang, Linlin Mo, Jice Zeng, Wenman Xue, Dan Pei. ISSRE 2020.
[Paper][Code]

2021.01 – Present Tsinghua University, Institute of AI Industry Research (AIR). Research Intern. Working on geometric GNNs under the guidance of Prof. Yang Liu and Prof. Wenbing Huang.
2019.07 – 2020.04 BizSeer. Research Intern. Focused on anomaly detection and root cause analysis in microservices. I am very grateful for the guidance of Prof. Dan Pei.