Teaching
Big Data Analytics
Statistical Models: Theory and Practice
Publications
Conference Papers
- 6. Wei Yuan, Quanjun Zhang, Tieke He, Chunrong Fang, Nguyen Quoc Viet Hung, Xiaodong Hao, Hongzhi Yin. CIRCLE: Continual Repair across Programming Languages. ISSTA'22
- 5. Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui. Unified Question Generation with Continual Lifelong Learning. WWW'22
- 4. Wei Yuan, Tieke He, Xinyu Dai. Improving Neural Question Generation using Deep Linguistic Representation. WWW'21
- 3. Chao Guo, Tieke He, Wei Yuan, Yue Guo, Rui Hao. Crowdsourced Requirements Generation for Automatic Testing via Knowledge Graph. ISSTA'20
- 2. Zichen Guo, Jiawei Liu, Tieke He, Zhuoyang Li, Peitian Zhangzhu. TauJud: Test Augmentation of Machine Learning in Judicial Documents. ISSTA'20
- 1. Yaguang Li, Han Su, Ugur Demiryurek, Bolong Zheng, Tieke He, Cyrus Shahabi. PaRE: A System for Personalized Route Guidance. WWW'17
Journal Papers
- 4. Xin Chen, He Jiang, Xiaochen Li, Liming Nie, Dongjin Yu, Tieke He, Zhenyu Chen. A Systemic Framework for Crowdsourced Test Report Quality Assessment. EMSE (2020)
- 3. Tieke He, Lian Hao, Zemin Qin, Zhenyu Chen, Bin Luo. PTM: A Topic Model for the Inferring of the Penalty. JCST (2018)
- 2. Tieke He, Zhenyu Chen, Jia Liu, Xiaofang Zhou, Xingzhong Du, Weiqing Wang. An Empirical Study on User-topic Rating Based Collaborative Filtering Methods. WWWJ (2017)
- 1. Tieke He, Hongzhi Yin, Zhenyu Chen, Xiaofang Zhou, Shazia W. Sadiq, Bin Luo. A Spatial-Temporal Topic Model for the Semantic Annotation of POIs in LBSNs. TIST (2016)
Suggested Readings
The Three Golden Rules for Successful Scientific Research
Ten Simple Rules to Becoming a Principal Investigator
Beng Chin Ooi Speaks Out on Building a Strong Database Group
A Letter to the Lab Members from PU
Efficient Reading of Paper in Science and Technology
Some modest advice for graduate students
How to Succeed in Graduate School
How to do Research At the MIT AI Lab
Useful Things to Know About Ph.D Thesis Research