Tieke He

According to our database, Tieke He authored at least 83 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

GS-Quant: Granular Semantic and Generative Structural Quantization for Knowledge Graph Completion.

Qizhuo Xie, Yunhui Liu, Yu Xing, Qianzi Hou, Xudong Jin, Tao Zheng, Tieke He

CoRR, April, 2026

A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions.

Zhiyin Yu, Yuchen Mou, Juncheng Yan, Junyu Luo, Chunchun Chen, Xing Wei, Yunhui Liu, Hongru Sun, Yuxing Zhang, Jun Xu, Yatao Bian, Ming Zhang, Wei Ye, Tieke He, Jie Yang, Guanjie Zheng, Zhonghai Wu, Bo Zhang, Lei Bai, Xiao Luo

CoRR, April, 2026

HELO-APR: Enhancing Low-Resource Program Repair through Cross-Lingual Knowledge Transfer.

Zhipeng Wang, Boyang Yang, Yidong Wan, Liuye Guo, You Lv, Tao Zheng, Zhuowei Wang, Tieke He

CoRR, April, 2026

FedRio: Personalized Federated Social Bot Detection via Cooperative Reinforced Contrastive Adversarial Distillation.

Yingguang Yang, Hao Liu, Xin Zhang, Yunhui Liu, Yutong Xia, Qi Wu, Hao Peng, Taoran Liang, Bin Chong, Tieke He, Philip S. Yu

CoRR, April, 2026

Beyond the Academic Monoculture: A Unified Framework and Industrial Perspective for Attributed Graph Clustering.

Yunhui Liu, Yue Liu, Yongchao Liu, Tao Zheng, Stan Z. Li, Xinwang Liu, Tieke He

CoRR, March, 2026

Bridging Academia and Industry: A Comprehensive Benchmark for Attributed Graph Clustering.

Yunhui Liu, Pengyu Qiu, Yu Xing, Yongchao Liu, Peng Du, Chuntao Hong, Jiajun Zheng, Tao Zheng, Tieke He

CoRR, February, 2026

Enhancing Multi-Modal Entity Alignment via Multi-Grained Decision Fusion.

Yu Xing, Qizhuo Xie, You Lv, Ziyang Zhou, Qianzi Hou, Qing Gu, Bin Chong, Tieke He

Proceedings of the ACM Web Conference 2026, 2026

Mitigating Homophily Disparity in Graph Anomaly Detection: A Scalable and Adaptive Approach.

Yunhui Liu, Qizhuo Xie, Yinfeng Chen, Xudong Jin, Tao Zheng, Bin Chong, Tieke He

Proceedings of the ACM Web Conference 2026, 2026

Tabular Foundation Models are Strong Graph Anomaly Detectors.

Yunhui Liu, Tieke He, Yongchao Liu, Can Yi, Hong Jin, Chuntao Hong

Proceedings of the ACM Web Conference 2026, 2026

Learning Hierarchical Knowledge in Text-Rich Networks with Taxonomy-Informed Representation Learning.

Yunhui Liu, Yongchao Liu, Yinfeng Chen, Chuntao Hong, Tao Zheng, Tieke He

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

On Modality Weighting and Specificity for Multi-Modal Entity Alignment.

Yu Xing, Qizhuo Xie, Yunhui Liu, Qing Gu, Tao Zheng, Bin Chong, Tieke He

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

EchoEdit: Consistent Multi-Hop Question Answering via Ripple Control in Knowledge Editing.

Jinwei Shi, Wenxuan Huang, Yu Xing, Yunhui Liu, Tao Zheng, Bin Chong, Tieke He

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference.

Yunhui Liu, Xinyi Gao, Tieke He, Jianhua Zhao, Hongzhi Yin

IEEE Trans. Knowl. Data Eng., October, 2025

A Pre-Training and Adaptive Fine-Tuning Framework for Graph Anomaly Detection.

Yunhui Liu, Jiashun Cheng, Jia Li, Fugee Tsung, Hongzhi Yin, Tieke He

CoRR, April, 2025

Norm Augmented Graph AutoEncoders for Link Prediction.

Yunhui Liu, Huaisong Zhang, Xinyi Gao, Liuye Guo, Tao Zheng, Tieke He

CoRR, February, 2025

Negative-Free Self-Supervised Gaussian Embedding of Graphs.

Yunhui Liu, Tieke He, Tao Zheng, Jianhua Zhao

Neural Networks, 2025

Exploration and Improvement of Capabilities of LLMs in Code Refinement Task.

Zhipeng Wang, Tieke He, Ruoyu Zhao, Tao Zheng

Int. J. Softw. Informatics, 2025

Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse Domains.

Yunhui Liu, Qizhuo Xie, Jinwei Shi, Jiaxu Shen, Tieke He

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Working Towards Toxic datasets for LLM Safeguarding.

Liuye Guo, Ziyuan Wang, Zhipeng Wang, Tieke He

Proceedings of the International Joint Conference on Neural Networks, 2025

Dynamic Graph Recommendation via Sparse Augmentation and Singular Adaptation.

Zhen Tao, Yuehang Cao, Yang Fang, Yunhui Liu, Xiang Zhao, Tieke He

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Norm Augmented Graph AutoEncoders for Link Prediction.

Yunhui Liu, Huaisong Zhang, Xinyi Gao, Liuye Guo, Zhen Tao, Tieke He

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Learning Accurate, Efficient, and Interpretable MLPs on Multiplex Graphs via Node-Wise Multi-view Ensemble Distillation.

Yunhui Liu, Zhen Tao, Xiang Zhao, Jianhua Zhao, Tao Zheng, Tieke He

Proceedings of the Database Systems for Advanced Applications, 2025

2024

Reliable Node Similarity Matrix Guided Contrastive Graph Clustering.

Yunhui Liu, Xinyi Gao, Tieke He, Tao Zheng, Jianhua Zhao, Hongzhi Yin

IEEE Trans. Knowl. Data Eng., December, 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

IEEE Trans. Software Eng., March, 2024

ROIC-DM: Robust Text Inference and Classification via Diffusion Model.

Shilong Yuan, Wei Yuan, Hongzhi Yin, Tieke He

CoRR, 2024

Bootstrap Latents of Nodes and Neighbors for Graph Self-supervised Learning.

Yunhui Liu, Huaisong Zhang, Tieke He, Tao Zheng, Jianhua Zhao

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering.

Yunhui Liu, Tieke He, Qing Wu, Tao Zheng, Jianhua Zhao

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

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

CoRR, 2023

Interaction-level Membership Inference Attack Against Federated Recommender Systems.

Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin

CoRR, 2023

Interaction-level Membership Inference Attack Against Federated Recommender Systems.

Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin

Proceedings of the ACM Web Conference 2023, 2023

Federated Unlearning for On-Device Recommendation.

Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures.

Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022

Unified Question Generation with Continual Lifelong Learning.

Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui

CoRR, 2022

Unified Question Generation with Continual Lifelong Learning.

Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

CIRCLE: continual repair across programming languages.

Wei Yuan, Quanjun Zhang, Tieke He, Chunrong Fang, Nguyen Quoc Viet Hung, Xiaodong Hao, Hongzhi Yin

Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

2021

Improving Neural Question Generation using Deep Linguistic Representation.

Wei Yuan, Tieke He, Xinyu Dai

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

A systemic framework for crowdsourced test report quality assessment.

Xin Chen, He Jiang, Xiaochen Li, Liming Nie, Dongjin Yu, Tieke He, Zhenyu Chen

Empir. Softw. Eng., 2020

TauJud: test augmentation of machine learning in judicial documents.

Zichen Guo, Jiawei Liu, Tieke He, Zhuoyang Li, Peitian Zhangzhu

Proceedings of the ISSTA '20: 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020

Crowdsourced requirements generation for automatic testing via knowledge graph.

Chao Guo, Tieke He, Wei Yuan, Yue Guo, Rui Hao

Proceedings of the ISSTA '20: 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020

An Empirical Study of Law Articles Prediction on Transportation Legal Cases.

Yifei Yang, Wei Yuan, Yansong Li, Desheng Wang, Jia Liu, Tieke He

Proceedings of the 7th International Conference on Dependable Systems and Their Applications, 2020

Problem Kit System for Expression Ability Evaluation.

Desheng Wang, Yubo Qian, Yu Xing, Yansong Li, Yifei Yang, Qing Wu, Tieke He

Proceedings of the 7th International Conference on Dependable Systems and Their Applications, 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

Proceedings of the 7th International Conference on Dependable Systems and Their Applications, 2020

N2One: Identifying Coreference Object Among User Generated Content with Siamese Network.

Wei Yuan, Peng Wang, Mengyao Yuan, Yue Guo, Tieke He

Proceedings of the Web Information Systems and Applications, 2020

Mining the Software Engineering Forums: What's New and What's Left.

Wei Yuan, Peng Wang, Yue Guo, Linyang He, Tieke He

Proceedings of the Web Information Systems and Applications, 2020

2019

A Unified Framework for Bug Report Assignment.

Yuan Zhao, Tieke He, Zhenyu Chen

Int. J. Softw. Eng. Knowl. Eng., 2019

Automatic test report augmentation to assist crowdsourced testing.

Xin Chen, He Jiang, Zhenyu Chen, Tieke He, Liming Nie

Frontiers Comput. Sci., 2019

Similarity Analysis of Law Documents Based on Word2vec.

Chunyu Xia, Tieke He, Wenlong Li, Zemin Qin, Zhipeng Zou

Proceedings of the 19th IEEE International Conference on Software Quality, 2019

Using Case Facts to Predict Accusation Based on Deep Learning.

Hui Wang, Tieke He, Zhipeng Zou, Siyuan Shen, Yu Li

Proceedings of the 19th IEEE International Conference on Software Quality, 2019

Quality Driven Judicial Data Governance.

Tieke He, Shenghao Chen, Lian Hao, Jia Liu

Proceedings of the 19th IEEE International Conference on Software Quality, 2019

A Deep Learning Method for Judicial Decision Support.

Baogui Chen, Yu Li, Shu Zhang, Hao Lian, Tieke He

Proceedings of the 19th IEEE International Conference on Software Quality, 2019

Judicial Knowledge Reasoning Based on Representation Learning.

Baogui Chen, Zhuoyang Li, Siyuan Shen, Zhipeng Zou, Tieke He

Proceedings of the 19th IEEE International Conference on Software Quality, 2019

L2R-QA: An Open-Domain Question Answering Framework.

Tieke He, Yu Li, Zhipeng Zou, Qing Wu

Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 2019

3Q: A 3-Layer Semantic Analysis Model for Question Suite Reduction.

Wei Dai, Siyuan Sheni, Tieke He

Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 2019

Judicial Case Screening Based on LDA.

Jin Xu, Tieke He, Hao Lian, Jiabing Wan, Qin Kong

Proceedings of the Data Science, 2019

Using Case Facts to Predict Penalty with Deep Learning.

Yu Li, Tieke He, Ge Yan, Shu Zhang, Hui Wang

Proceedings of the Data Science, 2019

A Content-Based Recommendation Framework for Judicial Cases.

Zichen Guo, Tieke He, Zemin Qin, Zicong Xie, Jia Liu

Proceedings of the Data Science, 2019

Case Facts Analysis Method Based on Deep Learning.

Zihuan Xu, Tieke He, Hao Lian, Jiabing Wan, Hui Wang

Proceedings of the Web Information Systems and Applications, 2019

Ensemble Methods for Word Embedding Model Based on Judicial Text.

Chunyu Xia, Tieke He, Jiabing Wan, Hui Wang

Proceedings of the Web Information Systems and Applications, 2019

2018

Fuzzy Clustering of Crowdsourced Test Reports for Apps.

He Jiang, Xin Chen, Tieke He, Zhenyu Chen, Xiaochen Li

ACM Trans. Internet Techn., 2018

PTM: A Topic Model for the Inferring of the Penalty.

Tieke He, Hao Lian, Zemin Qin, Zhenyu Chen, Bin Luo

J. Comput. Sci. Technol., 2018

Automated quality assessment for crowdsourced test reports of mobile applications.

Xin Chen, He Jiang, Xiaochen Li, Tieke He, Zhenyu Chen

Proceedings of the 25th International Conference on Software Analysis, 2018

Research on Judicial Data Standard.

Zemin Qin, Tieke He, Hao Lian, Yuanhan Tian, Jia Liu

Proceedings of the 2018 IEEE International Conference on Software Quality, 2018

Research on the Information Quality Measurement of Judicial Documents.

Hao Lian, Tieke He, Zemin Qin, Haoyu Li, Jia Liu

Proceedings of the 2018 IEEE International Conference on Software Quality, 2018

E-CAT: Evaluating Crowdsourced Android Testing.

Hao Lian, Zemin Qin, Hangcheng Song, Tieke He

Proceedings of the Data Science, 2018

Con-CNAME: A Contextual Multi-armed Bandit Algorithm for Personalized Recommendations.

Xiaofang Zhang, Qian Zhou, Tieke He, Bin Liang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Predicting Passenger's Public Transportation Travel Route Using Smart Card Data.

Chen Yang, Wei Chen, Bolong Zheng, Tieke He, Kai Zheng, Han Su

Proceedings of the Web and Big Data - Second International Joint Conference, 2018

Word Embedding Based Document Similarity for the Inferring of Penalty.

Tieke He, Hao Lian, Zemin Qin, Zhipeng Zou, Bin Luo

Proceedings of the Web Information Systems and Applications, 2018

2017

An empirical study on user-topic rating based collaborative filtering methods.

Tieke He, Zhenyu Chen, Jia Liu, Xiaofang Zhou, Xingzhong Du, Weiqing Wang

World Wide Web, 2017

PaRE: A System for Personalized Route Guidance.

Yaguang Li, Han Su, Ugur Demiryurek, Bolong Zheng, Tieke He, Cyrus Shahabi

Proceedings of the 26th International Conference on World Wide Web, 2017

Exploring the Influence of Feature Selection Techniques on Bug Report Prioritization.

Yabin Wang, Tieke He, Weiqiang Zhang, Chunrong Fang, Bin Luo

Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017

Clustering on the Stream of Crowdsourced Testing.

Siyuan Shen, Hao Lian, Tieke He, Zhenyu Chen

Proceedings of the 14th Web Information Systems and Applications Conference, 2017

Cluster Correction on Polysemy and Synonymy.

Zemin Qin, Hao Lian, Tieke He, Bin Luo

Proceedings of the 14th Web Information Systems and Applications Conference, 2017

Knowledge Graph Construction Based on Judicial Data with Social Media.

Hao Lian, Zemin Qin, Tieke He, Bin Luo

Proceedings of the 14th Web Information Systems and Applications Conference, 2017

2016

A Spatial-Temporal Topic Model for the Semantic Annotation of POIs in LBSNs.

Tieke He, Hongzhi Yin, Zhenyu Chen, Xiaofang Zhou, Shazia Sadiq, Bin Luo

ACM Trans. Intell. Syst. Technol., 2016

Mining Feature-Opinion from Reviews Based on Dependency Parsing.

Tieke He, Rui Hao, Hang Qi, Jia Liu, Qing Wu

Int. J. Softw. Eng. Knowl. Eng., 2016

Exploring the Influence of Time Factor in Bug Report Prioritization.

Zhengjie Xu, Tieke He, Weiqiang Zhang, Yabin Wang, Jia Liu, Zhenyu Chen

Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016

An Efficient Algorithm to Identify Minimal Failure-Causing Schemas from Exhaustive Test Suite.

Yuanchao Qi, Qi Wang, Chiya Xu, Tieke He, Ziyuan Wang

Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016

Mining Feature-Opinion from Reviews Based on Dependency Parsing.

Rui Hao, Tieke He, Hang Qi, Jia Liu

Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016

Automated Evaluation for Performance Test Scripts.

Ruijing Gao, Zhenyu Chen, Chunrong Fang, Tieke He, Peizhang Xie, Jungui Zhou

Proceedings of the 2016 IEEE International Conference on Software Quality, 2016

2015

Predicting Users' Purchasing Behaviors Using Their Browsing History.

Tieke He, Hongzhi Yin, Zhenyu Chen, Xiaofang Zhou, Bin Luo

Proceedings of the Databases Theory and Applications, 2015

Predicting Passengers in Public Transportation Using Smart Card Data.

Mengyu Dou, Tieke He, Hongzhi Yin, Xiaofang Zhou, Zhenyu Chen, Bin Luo

Proceedings of the Databases Theory and Applications, 2015

2013

Comparing Collaborative Filtering Methods Based on User-Topic Ratings.

Tieke He, Xingzhong Du, Weiqing Wang, Zhenyu Chen, Jia Liu

Proceedings of the 25th International Conference on Software Engineering and Knowledge Engineering, 2013

ABEY: an Incremental Personalized Method Based on Attribute Entropy for Recommender Systems (S).

Xingzhong Du, Tieke He, Zhenyu Chen, Jia Liu, Chengfeng Hui

Proceedings of the 25th International Conference on Software Engineering and Knowledge Engineering, 2013