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Tieke He
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2020 – today
- 2024
- [j9]Quanjun Zhang
, Chunrong Fang
APPT: Boosting Automated Patch Correctness Prediction via Fine-Tuning Pre-Trained Models. IEEE Trans. Software Eng. 50(3): 474-494 (2024) - [c47]Yunhui Liu, Tieke He, Qing Wu, Tao Zheng, Jianhua Zhao:
Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering. CIKM 2024: 3912-3916 - [c46]Yunhui Liu
Bootstrap Latents of Nodes and Neighbors for Graph Self-supervised Learning. ECML/PKDD (3) 2024: 76-92 - [i10]Shilong Yuan, Wei Yuan, Hongzhi Yin, Tieke He:
ROIC-DM: Robust Text Inference and Classification via Diffusion Model. CoRR abs/2401.03514 (2024) - [i9]Yunhui Liu, Xinyi Gao, Tieke He, Tao Zheng, Jianhua Zhao, Hongzhi Yin:
Reliable Node Similarity Matrix Guided Contrastive Graph Clustering. CoRR abs/2408.03765 (2024) - [i8]Yunhui Liu, Huaisong Zhang, Tieke He, Tao Zheng, Jianhua Zhao:
Bootstrap Latents of Nodes and Neighbors for Graph Self-Supervised Learning. CoRR abs/2408.05087 (2024) - [i7]Yunhui Liu, Tieke He, Qing Wu, Tao Zheng, Jianhua Zhao:
Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering. CoRR abs/2408.05765 (2024) - 2023
- [c45]Wei Yuan
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures. SIGIR 2023: 1690-1699 - [c44]Wei Yuan
Federated Unlearning for On-Device Recommendation. WSDM 2023: 393-401 - [c43]Wei Yuan
Interaction-level Membership Inference Attack Against Federated Recommender Systems. WWW 2023: 1053-1062 - [i6]Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin:
Interaction-level Membership Inference Attack Against Federated Recommender Systems. CoRR abs/2301.10964 (2023) - [i5]Quanjun Zhang, Chunrong Fang, Weisong Sun, Yan Liu, Tieke He, Xiaodong Hao, Zhenyu Chen:
Boosting Automated Patch Correctness Prediction via Pre-trained Language Model. CoRR abs/2301.12453 (2023) - [i4]Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin:
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures. CoRR abs/2304.03054 (2023) - 2022
- [c42]Wei Yuan, Quanjun Zhang, Tieke He, Chunrong Fang, Nguyen Quoc Viet Hung, Xiaodong Hao, Hongzhi Yin
CIRCLE: continual repair across programming languages. ISSTA 2022: 678-690 - [c41]Wei Yuan, Hongzhi Yin
Unified Question Generation with Continual Lifelong Learning. WWW 2022: 871-881 - [i3]Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui:
Unified Question Generation with Continual Lifelong Learning. CoRR abs/2201.09696 (2022) - [i2]Wei Yuan, Quanjun Zhang, Tieke He, Chunrong Fang, Nguyen Quoc Viet Hung, Xiaodong Hao, Hongzhi Yin
CIRCLE: Continual Repair across Programming Languages. CoRR abs/2205.10956 (2022) - [i1]Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang:
Federated Unlearning for On-Device Recommendation. CoRR abs/2210.10958 (2022) - 2021
- [c40]Wei Yuan, Tieke He, Xinyu Dai:
Improving Neural Question Generation using Deep Linguistic Representation. WWW 2021: 3489-3500 - 2020
- [j8]Xin Chen, He Jiang, Xiaochen Li, Liming Nie, Dongjin Yu, Tieke He, Zhenyu Chen:
A systemic framework for crowdsourced test report quality assessment. Empir. Softw. Eng. 25(2): 1382-1418 (2020) - [c39]Wei Yuan, Peng Wang, Mengyao Yuan, Yue Guo, Tieke He:
N2One: Identifying Coreference Object Among User Generated Content with Siamese Network. WISA 2020: 276-288 - [c38]Wei Yuan, Peng Wang, Yue Guo, Linyang He, Tieke He:
Mining the Software Engineering Forums: What's New and What's Left. WISA 2020: 513-524 - [c37]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: 125-130 - [c36]Desheng Wang, Yubo Qian, Yu Xing, Yansong Li, Yifei Yang, Qing Wu, Tieke He:
Problem Kit System for Expression Ability Evaluation. DSA 2020: 378-384 - [c35]Yansong Li, Yu Xing, Yubo Qian, Desheng Wang, Yifei Yang, Qing Wu, Tieke He:
The Design and Implementation of Test System for Expression Ability Evaluation. DSA 2020: 532-537 - [c34]Chao Guo, Tieke He, Wei Yuan, Yue Guo, Rui Hao:
Crowdsourced requirements generation for automatic testing via knowledge graph. ISSTA 2020: 545-548 - [c33]Zichen Guo, Jiawei Liu, Tieke He, Zhuoyang Li, Peitian Zhangzhu:
TauJud: test augmentation of machine learning in judicial documents. ISSTA 2020: 549-552
2010 – 2019
- 2019
- [j7]Xin Chen, He Jiang, Zhenyu Chen, Tieke He, Liming Nie:
Automatic test report augmentation to assist crowdsourced testing. Frontiers Comput. Sci. 13(5): 943-959 (2019) - [j6]Yuan Zhao, Tieke He, Zhenyu Chen:
A Unified Framework for Bug Report Assignment. Int. J. Softw. Eng. Knowl. Eng. 29(4): 607-628 (2019) - [c32]Zihuan Xu, Tieke He, Hao Lian, Jiabing Wan, Hui Wang:
Case Facts Analysis Method Based on Deep Learning. WISA 2019: 92-97 - [c31]Chunyu Xia, Tieke He, Jiabing Wan, Hui Wang:
Ensemble Methods for Word Embedding Model Based on Judicial Text. WISA 2019: 309-318 - [c30]Zichen Guo, Tieke He, Zemin Qin, Zicong Xie, Jia Liu:
A Content-Based Recommendation Framework for Judicial Cases. ICPCSEE (1) 2019: 76-88 - [c29]Jin Xu, Tieke He, Hao Lian, Jiabing Wan, Qin Kong:
Judicial Case Screening Based on LDA. ICPCSEE (1) 2019: 504-517 - [c28]Yu Li, Tieke He, Ge Yan, Shu Zhang, Hui Wang:
Using Case Facts to Predict Penalty with Deep Learning. ICPCSEE (2) 2019: 610-617 - [c27]Tieke He, Yu Li, Zhipeng Zou, Qing Wu:
L2R-QA: An Open-Domain Question Answering Framework. IScIDE (2) 2019: 151-162 - [c26]Wei Dai, Siyuan Sheni, Tieke He:
3Q: A 3-Layer Semantic Analysis Model for Question Suite Reduction. IScIDE (2) 2019: 219-231 - [c25]Tieke He, Shenghao Chen, Lian Hao, Jia Liu:
Quality Driven Judicial Data Governance. QRS Companion 2019: 66-70 - [c24]Baogui Chen, Zhuoyang Li, Siyuan Shen, Zhipeng Zou, Tieke He:
Judicial Knowledge Reasoning Based on Representation Learning. QRS Companion 2019: 84-88 - [c23]Hui Wang, Tieke He, Zhipeng Zou, Siyuan Shen, Yu Li:
Using Case Facts to Predict Accusation Based on Deep Learning. QRS Companion 2019: 133-137 - [c22]Baogui Chen, Yu Li, Shu Zhang, Hao Lian, Tieke He:
A Deep Learning Method for Judicial Decision Support. QRS Companion 2019: 145-149 - [c21]Chunyu Xia, Tieke He, Wenlong Li, Zemin Qin, Zhipeng Zou:
Similarity Analysis of Law Documents Based on Word2vec. QRS Companion 2019: 354-357 - 2018
- [j5]Tieke He, Hao Lian, Zemin Qin, Zhenyu Chen, Bin Luo:
PTM: A Topic Model for the Inferring of the Penalty. J. Comput. Sci. Technol. 33(4): 756-767 (2018) - [j4]He Jiang, Xin Chen, Tieke He, Zhenyu Chen, Xiaochen Li:
Fuzzy Clustering of Crowdsourced Test Reports for Apps. ACM Trans. Internet Techn. 18(2): 18:1-18:28 (2018) - [c20]Tieke He, Hao Lian, Zemin Qin, Zhipeng Zou, Bin Luo:
Word Embedding Based Document Similarity for the Inferring of Penalty. WISA 2018: 240-251 - [c19]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 (2) 2018: 199-213 - [c18]Xiaofang Zhang, Qian Zhou, Tieke He, Bin Liang:
Con-CNAME: A Contextual Multi-armed Bandit Algorithm for Personalized Recommendations. ICANN (2) 2018: 326-336 - [c17]Hao Lian, Zemin Qin, Hangcheng Song, Tieke He:
E-CAT: Evaluating Crowdsourced Android Testing. ICPCSEE (1) 2018: 493-504 - [c16]Zemin Qin, Tieke He, Hao Lian, Yuanhan Tian, Jia Liu:
Research on Judicial Data Standard. QRS Companion 2018: 175-177 - [c15]Hao Lian, Tieke He, Zemin Qin, Haoyu Li, Jia Liu:
Research on the Information Quality Measurement of Judicial Documents. QRS Companion 2018: 178-181 - [c14]Xin Chen, He Jiang, Xiaochen Li, Tieke He, Zhenyu Chen:
Automated quality assessment for crowdsourced test reports of mobile applications. SANER 2018: 368-379 - 2017
- [j3]Tieke He, Zhenyu Chen, Jia Liu, Xiaofang Zhou
An empirical study on user-topic rating based collaborative filtering methods. World Wide Web 20(4): 815-829 (2017) - [c13]Zemin Qin, Hao Lian, Tieke He, Bin Luo:
Cluster Correction on Polysemy and Synonymy. WISA 2017: 136-138 - [c12]Hao Lian, Zemin Qin, Tieke He, Bin Luo:
Knowledge Graph Construction Based on Judicial Data with Social Media. WISA 2017: 225-227 - [c11]Siyuan Shen, Hao Lian, Tieke He, Zhenyu Chen:
Clustering on the Stream of Crowdsourced Testing. WISA 2017: 317-322 - [c10]Yabin Wang, Tieke He, Weiqiang Zhang, Chunrong Fang, Bin Luo:
Exploring the Influence of Feature Selection Techniques on Bug Report Prioritization. SEKE 2017: 179-184 - [c9]Yaguang Li, Han Su, Ugur Demiryurek, Bolong Zheng, Tieke He, Cyrus Shahabi:
PaRE: A System for Personalized Route Guidance. WWW 2017: 637-646 - 2016
- [j2]Tieke He, Rui Hao, Hang Qi, Jia Liu, Qing Wu:
Mining Feature-Opinion from Reviews Based on Dependency Parsing. Int. J. Softw. Eng. Knowl. Eng. 26(9-10): 1581-1592 (2016) - [j1]Tieke He, Hongzhi Yin
A Spatial-Temporal Topic Model for the Semantic Annotation of POIs in LBSNs. ACM Trans. Intell. Syst. Technol. 8(1): 12:1-12:24 (2016) - [c8]Ruijing Gao, Zhenyu Chen, Chunrong Fang
Automated Evaluation for Performance Test Scripts. QRS Companion 2016: 135-142 - [c7]Zhengjie Xu, Tieke He, Weiqiang Zhang, Yabin Wang, Jia Liu, Zhenyu Chen:
Exploring the Influence of Time Factor in Bug Report Prioritization. SEKE 2016: 243-248 - [c6]Rui Hao, Tieke He, Hang Qi, Jia Liu:
Mining Feature-Opinion from Reviews Based on Dependency Parsing. SEKE 2016: 462-465 - [c5]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: 655-656 - 2015
- [c4]Mengyu Dou, Tieke He, Hongzhi Yin
Predicting Passengers in Public Transportation Using Smart Card Data. ADC 2015: 28-40 - [c3]Tieke He, Hongzhi Yin
Predicting Users' Purchasing Behaviors Using Their Browsing History. ADC 2015: 129-141 - 2013
- [c2]Tieke He, Xingzhong Du, Weiqing Wang, Zhenyu Chen, Jia Liu:
Comparing Collaborative Filtering Methods Based on User-Topic Ratings. SEKE 2013: 312-317 - [c1]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: 318-321
Coauthor Index
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last updated on 2024-11-15 19:32 CET by the dblp team
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