Pascal

Big Data Analytics

Foundations of Data Science

Foundations of Computing Systems

40. Wei Yuan, Tieke He, Xinyu Dai: Improving Neural Question Generation using Deep Linguistic Representation. WWW 2021
39. Desheng Wang, Yubo Qian, Yu Xing, Yansong Li, Yifei Yang, Qing Wu, Tieke He: Problem Kit System for Expression Ability Evaluation. DSA 2020
38. Yansong Li, Yu Xing, Yubo Qian, Desheng Wang, Yifei Yang, Qing Wu, Tieke He: Design and Implementation of Test System for Expression Ability Evaluation. DSA 2020
37. Yifei Yang, Wei Yuan, Yansong Li, Desheng Wang, Jia Liu, Tieke He: An Empirical Study of Law Articles Prediction on Transportation Legal Cases. DSA 2020
36. Wei Yuan, Peng Wang, Mengyao Yuan, Yue Guo, Tieke He: N2One: Identifying Coreference Object Among User Generated Content with Siamese Network. WISA 2020
35. Wei Yuan, Peng Wang, Yue Guo, Linyang He, Tieke He: Mining the Software Engineering Forums: What's New and What's Left. WISA 2020
34. Chao Guo, Tieke He, Wei Yuan, Yue Guo, Rui Hao: Crowdsourced Requirements Generation for Automatic Testing via Knowledge Graph. ISSTA 2020
33. Zichen Guo, Jiawei Liu, Tieke He, Zhuoyang Li, Peitian Zhangzhu: TauJud: Test Augmentation of Machine Learning in Judicial Documents. ISSTA 2020
32. Zihuan Xu, Tieke He, Hao Lian, Jiabing Wan, Hui Wang: Case Facts Analysis Method Based on Deep Learning. WISA 2019
31. Chunyu Xia, Tieke He, Jiabing Wan, Hui Wang: Ensemble Methods for Word Embedding Model Based on Judicial Text. WISA 2019
30. Zichen Guo, Tieke He, Zemin Qin, Zicong Xie, Jia Liu: A Content-Based Recommendation Framework for Judicial Cases. ICPCSEE 2019
29. Jin Xu, Tieke He, Hao Lian, Jiabing Wan, Qin Kong: Judicial Case Screening Based on LDA. ICPCSEE 2019
28. Yu Li, Tieke He, Ge Yan, Shu Zhang, Hui Wang: Using Case Facts to Predict Penalty with Deep Learning. ICPCSEE 2019
27. Tieke He, Yu Li, Zhipeng Zou, Qing Wu: L2R-QA: An Open-Domain Question Answering Framework. IScIDE 2019
26. Wei Dai, Siyuan Shen, Tieke He: 3Q: A 3-Layer Semantic Analysis Model for Question Suite Reduction. IScIDE 2019
25. Tieke He, Shenghao Chen, Lian Hao, Jia Liu: Quality Driven Judicial Data Governance. QRS Companion 2019
24. Baogui Chen, Zhuoyang Li, Siyuan Shen, Zhipeng Zou, Tieke He: Judicial Knowledge Reasoning Based on Representation Learning. QRS Companion 2019
23. Hui Wang, Tieke He, Zhipeng Zou, Siyuan Shen, Yu Li: Using Case Facts to Predict Accusation Based on Deep Learning. QRS Companion 2019
22. Baogui Chen, Yu Li, Shu Zhang, Hao Lian, Tieke He: A Deep Learning Method for Judicial Decision Support. QRS Companion 2019
21. Chunyu Xia, Tieke He, Wenlong Li, Zemin Qin, Zhipeng Zou: Similarity Analysis of Law Documents Based on Word2vec. QRS Companion 2019
20. Tieke He, Hao Lian, Zemin Qin, Zhipeng Zou, Bin Luo: Word Embedding Based Document Similarity for the Inferring of Penalty. WISA 2018
19. Chen Yang, Wei Chen, Bolong Zheng, Tieke He, Kai Zheng, Han Su: Predicting Passenger's Public Transportation Travel Route Using Smart Card Data. APWeb/WAIM 2018
18. Xiaofang Zhang, Qian Zhou, Tieke He, Bin Liang: Con-CNAME: A Contextual Multi-armed Bandit Algorithm for Personalized Recommendations. ICANN 2018
17. Hao Lian, Zemin Qin, Hangcheng Song, Tieke He: E-CAT: Evaluating Crowdsourced Android Testing. ICPCSEE 2018
16. Zemin Qin, Tieke He, Hao Lian, Yuanhan Tian, Jia Liu: Research on Judicial Data Standard. QRS Companion 2018
15. Hao Lian, Tieke He, Zemin Qin, Haoyu Li, Jia Liu: Research on the Information Quality Measurement of Judicial Documents. QRS Companion 2018
14. Xin Chen, He Jiang, Xiaochen Li, Tieke He, Zhenyu Chen: Automated quality assessment for crowdsourced test reports of mobile applications. SANER 2018
13. Zemin Qin, Hao Lian, Tieke He, Bin Luo: Cluster Correction on Polysemy and Synonymy. WISA 2017
12. Hao Lian, Zemin Qin, Tieke He, Bin Luo: Knowledge Graph Construction Based on Judicial Data with Social Media. WISA 2017
11. Siyuan Shen, Hao Lian, Tieke He, Zhenyu Chen: Clustering on the Stream of Crowdsourced Testing. WISA 2017
10. Yabin Wang, Tieke He, Weiqiang Zhang, Chunrong Fang, Bin Luo: Exploring the Influence of Feature Selection Techniques on Bug Report Prioritization. SEKE 2017
9. Yaguang Li, Han Su, Ugur Demiryurek, Bolong Zheng, Tieke He, Cyrus Shahabi: PaRE: A System for Personalized Route Guidance. WWW 2017
8. Ruijing Gao, Zhenyu Chen, Chunrong Fang, Tieke He, Peizhang Xie, Jungui Zhou: Automated Evaluation for Performance Test Scripts. QRS Companion 2016
7. Zhengjie Xu, Tieke He, Weiqiang Zhang, Yabin Wang, Jia Liu, Zhenyu Chen: Exploring the Influence of Time Factor in Bug Report Prioritization. SEKE 2016
6. Rui Hao, Tieke He, Hang Qi, Jia Liu: Mining Feature-Opinion from Reviews Based on Dependency Parsing. SEKE 2016
5. Yuanchao Qi, Qi Wang, Chiya Xu, Tieke He, Ziyuan Wang: An Efficient Algorithm to Identify Minimal Failure-Causing Schemas from Exhaustive Test Suite. SEKE 2016
4. Mengyu Dou, Tieke He, Hongzhi Yin, Xiaofang Zhou, Zhenyu Chen, Bin Luo: Predicting Passengers in Public Transportation Using Smart Card Data. ADC 2015
3. Tieke He, Hongzhi Yin, Zhenyu Chen, Xiaofang Zhou, Bin Luo: Predicting Users' Purchasing Behaviors Using Their Browsing History. ADC 2015
2. Tieke He, Xingzhong Du, Weiqing Wang, Zhenyu Chen, Jia Liu: Comparing Collaborative Filtering Methods Based on User-Topic Ratings. SEKE 2013
1. Xingzhong Du, Tieke He, Zhenyu Chen, Jia Liu, Chengfeng Hui: ABEY: an Incremental Personalized Method Based on Attribute Entropy for Recommender Systems (S). SEKE 2013

8. 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)
7. Xin Chen, He Jiang, Zhenyu Chen, Tieke He, Liming Nie: Automatic test report augmentation to assist crowdsourced testing. Frontiers Comput. Sci. (2019)
6. Yuan Zhao, Tieke He, Zhenyu Chen: A Unified Framework for Bug Report Assignment. IJSEKE (2019)
5. Tieke He, Lian Hao, Zemin Qin, Zhenyu Chen, Bin Luo: PTM: A Topic Model for the Inferring of the Penalty. JCST (2018)
4. He Jiang, Xin Chen, Tieke He, Zhenyu Chen, Xiaochen Li: Fuzzy Clustering of Crowdsourced Test Reports for Apps. TOIT (2017)
3. 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)
2. Tieke He, Rui Hao, Hang Qi, Jia Liu, Qing Wu: Mining Feature-Opinion from Reviews Based on Dependency Parsing. IJSEKE (2016)
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)