ABEY: an Incremental Personalized Method Based on Attribute Entropy for Recommender Systems (S). - Xingzhong Du; Tieke He; Zhenyu Chen 001; Jia Liu 015; Chengfeng Hui (SEKE, 2013)

Comparing Collaborative Filtering Methods Based on User-Topic Ratings. - Tieke He; Xingzhong Du; Weiqing Wang 001; Zhenyu Chen 001; Jia Liu 015 (SEKE, 2013)

Predicting Passengers in Public Transportation Using Smart Card Data. - Mengyu Dou; Tieke He; Hongzhi Yin; Xiaofang Zhou 001; Zhenyu Chen 001; Bin Luo 003 (ADC, 2015)

Predicting Users' Purchasing Behaviors Using Their Browsing History. - Tieke He; Hongzhi Yin; Zhenyu Chen 001; Xiaofang Zhou 001; Bin Luo 003 (ADC, 2015)

Automated Evaluation for Performance Test Scripts. - Ruijing Gao; Zhenyu Chen 001; Chunrong Fang; Tieke He; Peizhang Xie; Jungui Zhou (QRS Companion, 2016)

Mining Feature-Opinion from Reviews Based on Dependency Parsing. - Rui Hao; Tieke He; Hang Qi; Jia Liu 015 (SEKE, 2016)

An Efficient Algorithm to Identify Minimal Failure-Causing Schemas from Exhaustive Test Suite. - Yuanchao Qi; Qi Wang; Chiya Xu; Tieke He; Ziyuan Wang (SEKE, 2016)

Exploring the Influence of Time Factor in Bug Report Prioritization. - Zhengjie Xu; Tieke He; Weiqiang Zhang; Yabin Wang; Jia Liu 015; Zhenyu Chen 001 (SEKE, 2016)

Mining Feature-Opinion from Reviews Based on Dependency Parsing. - Tieke He; Rui Hao; Hang Qi; Jia Liu 015; Qing Wu (Int. J. Softw. Eng. Knowl. Eng., 2016)

A Spatial-Temporal Topic Model for the Semantic Annotation of POIs in LBSNs. - Tieke He; Hongzhi Yin; Zhenyu Chen 001; Xiaofang Zhou 001; Shazia Sadiq; Bin Luo 003 (ACM Trans. Intell. Syst. Technol., 2016)

Knowledge Graph Construction Based on Judicial Data with Social Media. - Hao Lian; Zemin Qin; Tieke He; Bin Luo 003 (WISA, 2017)

Cluster Correction on Polysemy and Synonymy. - Zemin Qin; Hao Lian; Tieke He; Bin Luo 003 (WISA, 2017)

Clustering on the Stream of Crowdsourced Testing. - Siyuan Shen; Hao Lian; Tieke He; Zhenyu Chen 001 (WISA, 2017)

Exploring the Influence of Feature Selection Techniques on Bug Report Prioritization. - Yabin Wang; Tieke He; Weiqiang Zhang; Chunrong Fang; Bin Luo 003 (SEKE, 2017)

PaRE: A System for Personalized Route Guidance. - Yaguang Li; Han Su 001; Ugur Demiryurek; Bolong Zheng; Tieke He; Cyrus Shahabi (WWW, 2017)

An empirical study on user-topic rating based collaborative filtering methods. - Tieke He; Zhenyu Chen 001; Jia Liu 015; Xiaofang Zhou 001; Xingzhong Du; Weiqing Wang 001 (World Wide Web, 2017)

Word Embedding Based Document Similarity for the Inferring of Penalty. - Tieke He; Hao Lian; Zemin Qin; Zhipeng Zou; Bin Luo 003 (WISA, 2018)

Predicting Passenger's Public Transportation Travel Route Using Smart Card Data. - Chen Yang; Wei Chen 070; Bolong Zheng; Tieke He; Kai Zheng 001; Han Su 001 (APWeb/WAIM (2), 2018)

Con-CNAME: A Contextual Multi-armed Bandit Algorithm for Personalized Recommendations. - Xiaofang Zhang; Qian Zhou; Tieke He; Bin Liang (ICANN (2), 2018)

E-CAT: Evaluating Crowdsourced Android Testing. - Hao Lian; Zemin Qin; Hangcheng Song; Tieke He (ICPCSEE (1), 2018)

Research on the Information Quality Measurement of Judicial Documents. - Hao Lian; Tieke He; Zemin Qin; Haoyu Li; Jia Liu 015 (QRS Companion, 2018)

Research on Judicial Data Standard. - Zemin Qin; Tieke He; Hao Lian; Yuanhan Tian; Jia Liu 015 (QRS Companion, 2018)

Automated quality assessment for crowdsourced test reports of mobile applications. - Xin Chen 032; He Jiang 001; Xiaochen Li; Tieke He; Zhenyu Chen 001 (SANER, 2018)

PTM: A Topic Model for the Inferring of the Penalty. - Tieke He; Hao Lian; Zemin Qin; Zhenyu Chen 001; Bin Luo 003 (J. Comput. Sci. Technol., 2018)

Fuzzy Clustering of Crowdsourced Test Reports for Apps. - He Jiang 001; Xin Chen 032; Tieke He; Zhenyu Chen 001; Xiaochen Li (ACM Trans. Internet Techn., 2018)

Ensemble Methods for Word Embedding Model Based on Judicial Text. - Chunyu Xia; Tieke He; Jiabing Wan; Hui Wang (WISA, 2019)

Case Facts Analysis Method Based on Deep Learning. - Zihuan Xu; Tieke He; Hao Lian; Jiabing Wan; Hui Wang (WISA, 2019)

A Content-Based Recommendation Framework for Judicial Cases. - Zichen Guo; Tieke He; Zemin Qin; Zicong Xie; Jia Liu 015 (ICPCSEE (1), 2019)

Using Case Facts to Predict Penalty with Deep Learning. - Yu Li; Tieke He; Ge Yan 007; Shu Zhang 009; Hui Wang (ICPCSEE (2), 2019)

Judicial Case Screening Based on LDA. - Jin Xu; Tieke He; Hao Lian; Jiabing Wan; Qin Kong (ICPCSEE (1), 2019)

3Q: A 3-Layer Semantic Analysis Model for Question Suite Reduction. - Wei Dai; Siyuan Sheni; Tieke He (IScIDE (2), 2019)

L2R-QA: An Open-Domain Question Answering Framework. - Tieke He; Yu Li; Zhipeng Zou; Qing Wu (IScIDE (2), 2019)

Judicial Knowledge Reasoning Based on Representation Learning. - Baogui Chen; Zhuoyang Li; Siyuan Shen; Zhipeng Zou; Tieke He (QRS Companion, 2019)

A Deep Learning Method for Judicial Decision Support. - Baogui Chen; Yu Li; Shu Zhang 009; Hao Lian; Tieke He (QRS Companion, 2019)

Quality Driven Judicial Data Governance. - Tieke He; Shenghao Chen; Lian Hao; Jia Liu 015 (QRS Companion, 2019)

Using Case Facts to Predict Accusation Based on Deep Learning. - Hui Wang; Tieke He; Zhipeng Zou; Siyuan Shen; Yu Li (QRS Companion, 2019)

Similarity Analysis of Law Documents Based on Word2vec. - Chunyu Xia; Tieke He; Wenlong Li; Zemin Qin; Zhipeng Zou (QRS Companion, 2019)

Automatic test report augmentation to assist crowdsourced testing. - Xin Chen 032; He Jiang 001; Zhenyu Chen 001; Tieke He; Liming Nie (Frontiers Comput. Sci., 2019)

A Unified Framework for Bug Report Assignment. - Yuan Zhao; Tieke He; Zhenyu Chen 001 (Int. J. Softw. Eng. Knowl. Eng., 2019)

Mining the Software Engineering Forums: What's New and What's Left. - Wei Yuan 003; Peng Wang; Yue Guo; Linyang He; Tieke He (WISA, 2020)

N2One: Identifying Coreference Object Among User Generated Content with Siamese Network. - Wei Yuan 003; Peng Wang; Mengyao Yuan; Yue Guo; Tieke He (WISA, 2020)

The Design and Implementation of Test System for Expression Ability Evaluation. - Yansong Li; Yu Xing; Yubo Qian; Desheng Wang; Yifei Yang; Qing Wu; Tieke He (DSA, 2020)

Problem Kit System for Expression Ability Evaluation. - Desheng Wang; Yubo Qian; Yu Xing; Yansong Li; Yifei Yang; Qing Wu; Tieke He (DSA, 2020)

An Empirical Study of Law Articles Prediction on Transportation Legal Cases. - Yifei Yang; Wei Yuan 003; Yansong Li; Desheng Wang; Jia Liu 015; Tieke He (DSA, 2020)

Crowdsourced requirements generation for automatic testing via knowledge graph. - Chao Guo; Tieke He; Wei Yuan 003; Yue Guo; Rui Hao (ISSTA, 2020)

TauJud: test augmentation of machine learning in judicial documents. - Zichen Guo; Jiawei Liu; Tieke He; Zhuoyang Li; Peitian Zhangzhu (ISSTA, 2020)

A systemic framework for crowdsourced test report quality assessment. - Xin Chen 032; He Jiang 001; Xiaochen Li; Liming Nie; Dongjin Yu; Tieke He; Zhenyu Chen 001 (Empir. Softw. Eng., 2020)

Improving Neural Question Generation using Deep Linguistic Representation. - Wei Yuan 003; Tieke He; Xinyu Dai (WWW, 2021)

CIRCLE: continual repair across programming languages. - Wei Yuan 003; Quanjun Zhang; Tieke He; Chunrong Fang; Nguyen Quoc Viet Hung; Xiaodong Hao; Hongzhi Yin (ISSTA, 2022)

Unified Question Generation with Continual Lifelong Learning. - Wei Yuan 003; Hongzhi Yin; Tieke He; Tong Chen 005; Qiufeng Wang 002; Lizhen Cui (WWW, 2022)

Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures. - Wei Yuan 003; Quoc Viet Hung Nguyen; Tieke He; Liang Chen 001; Hongzhi Yin (SIGIR, 2023)

Federated Unlearning for On-Device Recommendation. - Wei Yuan 003; Hongzhi Yin; Fangzhao Wu; Shijie Zhang; Tieke He; Hao Wang 005 (WSDM, 2023)

Interaction-level Membership Inference Attack Against Federated Recommender Systems. - Wei Yuan 003; Chaoqun Yang 002; Quoc Viet Hung Nguyen; Lizhen Cui; Tieke He; Hongzhi Yin (WWW, 2023)

Boosting Automated Patch Correctness Prediction via Pre-trained Language Model. - Quanjun Zhang; Chunrong Fang; Weisong Sun; Yan Liu; Tieke He; Xiaodong Hao; Zhenyu Chen 001 (CoRR, 2023)

Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering. - Yunhui Liu 002; Tieke He; Qing Wu; Tao Zheng; Jianhua Zhao (CIKM, 2024)

Bootstrap Latents of Nodes and Neighbors for Graph Self-supervised Learning. - Yunhui Liu 002; Huaisong Zhang; Tieke He; Tao Zheng; Jianhua Zhao (ECML/PKDD (3), 2024)

ROIC-DM: Robust Text Inference and Classification via Diffusion Model. - Shilong Yuan; Wei Yuan 003; Hongzhi Yin; Tieke He (CoRR, 2024)

Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference. - Yunhui Liu 002; Xinyi Gao 001; Tieke He; Jianhua Zhao; Hongzhi Yin (CoRR, 2024)

Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse Domains. - Yunhui Liu; Qizhuo Xie; Jinwei Shi; Jiaxu Shen; Tieke He (CoRR, 2024)

APPT: Boosting Automated Patch Correctness Prediction via Fine-Tuning Pre-Trained Models. - Quanjun Zhang; Chunrong Fang; Weisong Sun; Yan Liu; Tieke He; Xiaodong Hao; Zhenyu Chen 001 (IEEE Trans. Software Eng., 2024)

Reliable Node Similarity Matrix Guided Contrastive Graph Clustering. - Yunhui Liu 002; Xinyi Gao 001; Tieke He; Tao Zheng; Jianhua Zhao; Hongzhi Yin (IEEE Trans. Knowl. Data Eng., 2024)

Norm Augmented Graph AutoEncoders for Link Prediction. - Yunhui Liu 002; Huaisong Zhang; Xinyi Gao 001; Liuye Guo; Zhen Tao; Tieke He (ICASSP, 2025)

Dynamic Graph Recommendation via Sparse Augmentation and Singular Adaptation. - Zhen Tao; Yuehang Cao; Yang Fang; Yunhui Liu; Xiang Zhao; Tieke He (ICASSP, 2025)

Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse Domains. - Yunhui Liu 002; Qizhuo Xie; Jinwei Shi; Jiaxu Shen; Tieke He (WWW (Companion Volume), 2025)

Negative-Free Self-Supervised Gaussian Embedding of Graphs. - Yunhui Liu 002; Tieke He; Tao Zheng; Jianhua Zhao (Neural Networks, 2025)

Learning Accurate, Efficient, and Interpretable MLPs on Multiplex Graphs via Node-wise Multi-View Ensemble Distillation. - Yunhui Liu 002; Zhen Tao; Xiang Zhao; Jianhua Zhao; Tao Zheng; Tieke He (CoRR, 2025)

Norm Augmented Graph AutoEncoders for Link Prediction. - Yunhui Liu 002; Huaisong Zhang; Xinyi Gao 001; Liuye Guo; Tao Zheng; Tieke He (CoRR, 2025)

A Pre-Training and Adaptive Fine-Tuning Framework for Graph Anomaly Detection. - Yunhui Liu 002; Jiashun Cheng; Jia Li 009; Fugee Tsung; Hongzhi Yin; Tieke He (CoRR, 2025)