Pascal

Big Data Analytics

Statistical Models: Theory and Practice

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

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)