Tieke He

94 papers A* 10A 6B 1C 6Misc 12Journal 36Unranked 23
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond the Academic Monoculture: A Unified Framework and Industrial Perspective for Attributed Graph Clustering.
CoRR
Yunhui Liu, Yue Liu, Yongchao Liu, Tao Zheng, Stan Z. Li, Xinwang Liu, Tieke He
2026 J jnl
Bridging Academia and Industry: A Comprehensive Benchmark for Attributed Graph Clustering.
CoRR
Yunhui Liu, Pengyu Qiu, Yu Xing, Yongchao Liu, Peng Du, Chuntao Hong, Jiajun Zheng, Tao Zheng, Tieke He
2026 A* conf
EchoEdit: Consistent Multi-Hop Question Answering via Ripple Control in Knowledge Editing.
AAAI
Jinwei Shi, Wenxuan Huang, Yu Xing, Yunhui Liu, Tao Zheng, Bin Chong, Tieke He
2026 A* conf
Enhancing Multi-Modal Entity Alignment via Multi-Grained Decision Fusion.
WWW
Yu Xing, Qizhuo Xie, You Lv, Ziyang Zhou, Qianzi Hou, Qing Gu, Bin Chong, Tieke He
2026 — conf
Learning Hierarchical Knowledge in Text-Rich Networks with Taxonomy-Informed Representation Learning.
KDD (1)
Yunhui Liu, Yongchao Liu, Yinfeng Chen, Chuntao Hong, Tao Zheng, Tieke He
2026 J jnl
Learning Hierarchical Knowledge in Text-Rich Networks with Taxonomy-Informed Representation Learning.
CoRR
Yunhui Liu, Yongchao Liu, Yinfeng Chen, Chuntao Hong, Tao Zheng, Tieke He
2026 A* conf
Mitigating Homophily Disparity in Graph Anomaly Detection: A Scalable and Adaptive Approach.
WWW
Yunhui Liu, Qizhuo Xie, Yinfeng Chen, Xudong Jin, Tao Zheng, Bin Chong, Tieke He
2026 J jnl
Mitigating Homophily Disparity in Graph Anomaly Detection: A Scalable and Adaptive Approach.
CoRR
Yunhui Liu, Qizhuo Xie, Yinfeng Chen, Xudong Jin, Tao Zheng, Bin Chong, Tieke He
2026 A* conf
On Modality Weighting and Specificity for Multi-Modal Entity Alignment.
AAAI
Yu Xing, Qizhuo Xie, Yunhui Liu, Qing Gu, Tao Zheng, Bin Chong, Tieke He
2026 J jnl
SDFed: Bridging Local Global Discrepancy via Subspace Refinement and Divergence Control in Federated Prompt Learning.
CoRR
Yicheng Di, Wei Yuan, Tieke He, Zhanjie Zhang, Ao Ma, Yuan Liu, Hongzhi Yin
2026 A* conf
Tabular Foundation Models are Strong Graph Anomaly Detectors.
WWW
Yunhui Liu, Tieke He, Yongchao Liu, Can Yi, Hong Jin, Chuntao Hong
2026 J jnl
Tabular Foundation Models are Strong Graph Anomaly Detectors.
CoRR
Yunhui Liu, Tieke He, Yongchao Liu, Can Yi, Hong Jin, Chuntao Hong
2025 J jnl
A Pre-Training and Adaptive Fine-Tuning Framework for Graph Anomaly Detection.
CoRR
Yunhui Liu, Jiashun Cheng, Jia Li, Fugee Tsung, Hongzhi Yin, Tieke He
2025 Misc conf
Dynamic Graph Recommendation via Sparse Augmentation and Singular Adaptation.
ICASSP
Zhen Tao, Yuehang Cao, Yang Fang, Yunhui Liu, Xiang Zhao, Tieke He
2025 J jnl
Dynamic Graph Recommendation via Sparse Augmentation and Singular Adaptation.
CoRR
Zhen Tao, Yuehang Cao, Yang Fang, Yunhui Liu, Xiang Zhao, Tieke He
2025 J jnl
Exploration and Improvement of Capabilities of LLMs in Code Refinement Task.
Int. J. Softw. Informatics
Zhipeng Wang, Tieke He, Ruoyu Zhao, Tao Zheng
2025 — conf
Learning Accurate, Efficient, and Interpretable MLPs on Multiplex Graphs via Node-Wise Multi-view Ensemble Distillation.
DASFAA (3)
Yunhui Liu, Zhen Tao, Xiang Zhao, Jianhua Zhao, Tao Zheng, Tieke He
2025 J jnl
Learning Accurate, Efficient, and Interpretable MLPs on Multiplex Graphs via Node-wise Multi-View Ensemble Distillation.
CoRR
Yunhui Liu, Zhen Tao, Xiang Zhao, Jianhua Zhao, Tao Zheng, Tieke He
2025 — conf
Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse Domains.
WWW (Companion Volume)
Yunhui Liu, Qizhuo Xie, Jinwei Shi, Jiaxu Shen, Tieke He
2025 J jnl
Negative-Free Self-Supervised Gaussian Embedding of Graphs.
Neural Networks
Yunhui Liu, Tieke He, Tao Zheng, Jianhua Zhao
2025 Misc conf
Norm Augmented Graph AutoEncoders for Link Prediction.
ICASSP
Yunhui Liu, Huaisong Zhang, Xinyi Gao, Liuye Guo, Zhen Tao, Tieke He
2025 J jnl
Norm Augmented Graph AutoEncoders for Link Prediction.
CoRR
Yunhui Liu, Huaisong Zhang, Xinyi Gao, Liuye Guo, Tao Zheng, Tieke He
2025 J jnl
Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference.
IEEE Trans. Knowl. Data Eng.
Yunhui Liu, Xinyi Gao, Tieke He, Jianhua Zhao, Hongzhi Yin
2025 B conf
Working Towards Toxic datasets for LLM Safeguarding.
IJCNN
Liuye Guo, Ziyuan Wang, Zhipeng Wang, Tieke He
2024 J jnl
APPT: Boosting Automated Patch Correctness Prediction via Fine-Tuning Pre-Trained Models.
IEEE Trans. Software Eng.
Quanjun Zhang, Chunrong Fang, Weisong Sun, Yan Liu, Tieke He, Xiaodong Hao, Zhenyu Chen
2024 J jnl
Bootstrap Latents of Nodes and Neighbors for Graph Self-Supervised Learning.
CoRR
Yunhui Liu, Huaisong Zhang, Tieke He, Tao Zheng, Jianhua Zhao
2024 — conf
Bootstrap Latents of Nodes and Neighbors for Graph Self-supervised Learning.
ECML/PKDD (3)
Yunhui Liu, Huaisong Zhang, Tieke He, Tao Zheng, Jianhua Zhao
2024 J jnl
Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse Domains.
CoRR
Yunhui Liu, Qizhuo Xie, Jinwei Shi, Jiaxu Shen, Tieke He
2024 J jnl
Negative-Free Self-Supervised Gaussian Embedding of Graphs.
CoRR
Yunhui Liu, Tieke He, Tao Zheng, Jianhua Zhao
2024 J jnl
ROIC-DM: Robust Text Inference and Classification via Diffusion Model.
CoRR
Shilong Yuan, Wei Yuan, Hongzhi Yin, Tieke He
2024 J jnl
Reliable Node Similarity Matrix Guided Contrastive Graph Clustering.
CoRR
Yunhui Liu, Xinyi Gao, Tieke He, Tao Zheng, Jianhua Zhao, Hongzhi Yin
2024 J jnl
Reliable Node Similarity Matrix Guided Contrastive Graph Clustering.
IEEE Trans. Knowl. Data Eng.
Yunhui Liu, Xinyi Gao, Tieke He, Tao Zheng, Jianhua Zhao, Hongzhi Yin
2024 A conf
Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering.
CIKM
Yunhui Liu, Tieke He, Qing Wu, Tao Zheng, Jianhua Zhao
2024 J jnl
Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering.
CoRR
Yunhui Liu, Tieke He, Qing Wu, Tao Zheng, Jianhua Zhao
2024 J jnl
Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference.
CoRR
Yunhui Liu, Xinyi Gao, Tieke He, Jianhua Zhao, Hongzhi Yin
2023 J jnl
Boosting Automated Patch Correctness Prediction via Pre-trained Language Model.
CoRR
Quanjun Zhang, Chunrong Fang, Weisong Sun, Yan Liu, Tieke He, Xiaodong Hao, Zhenyu Chen
2023 A conf
Federated Unlearning for On-Device Recommendation.
WSDM
Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang
2023 A* conf
Interaction-level Membership Inference Attack Against Federated Recommender Systems.
WWW
Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin
2023 J jnl
Interaction-level Membership Inference Attack Against Federated Recommender Systems.
CoRR
Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin
2023 A* conf
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures.
SIGIR
Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin
2023 J jnl
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures.
CoRR
Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin
2022 J jnl
CIRCLE: Continual Repair across Programming Languages.
CoRR
Wei Yuan, Quanjun Zhang, Tieke He, Chunrong Fang, Nguyen Quoc Viet Hung, Xiaodong Hao, Hongzhi Yin
2022 A conf
CIRCLE: continual repair across programming languages.
ISSTA
Wei Yuan, Quanjun Zhang, Tieke He, Chunrong Fang, Nguyen Quoc Viet Hung, Xiaodong Hao, Hongzhi Yin
2022 J jnl
Federated Unlearning for On-Device Recommendation.
CoRR
Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang
2022 A* conf
Unified Question Generation with Continual Lifelong Learning.
WWW
Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui
2022 J jnl
Unified Question Generation with Continual Lifelong Learning.
CoRR
Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui
2021 A* conf
Improving Neural Question Generation using Deep Linguistic Representation.
WWW
Wei Yuan, Tieke He, Xinyu Dai
2020 J jnl
A systemic framework for crowdsourced test report quality assessment.
Empir. Softw. Eng.
Xin Chen, He Jiang, Xiaochen Li, Liming Nie, Dongjin Yu, Tieke He, Zhenyu Chen
2020 — conf
An Empirical Study of Law Articles Prediction on Transportation Legal Cases.
DSA
Yifei Yang, Wei Yuan, Yansong Li, Desheng Wang, Jia Liu, Tieke He
2020 A conf
Crowdsourced requirements generation for automatic testing via knowledge graph.
ISSTA
Chao Guo, Tieke He, Wei Yuan, Yue Guo, Rui Hao
2020 Misc conf
Mining the Software Engineering Forums: What's New and What's Left.
WISA
Wei Yuan, Peng Wang, Yue Guo, Linyang He, Tieke He
2020 Misc conf
N2One: Identifying Coreference Object Among User Generated Content with Siamese Network.
WISA
Wei Yuan, Peng Wang, Mengyao Yuan, Yue Guo, Tieke He
2020 — conf
Problem Kit System for Expression Ability Evaluation.
DSA
Desheng Wang, Yubo Qian, Yu Xing, Yansong Li, Yifei Yang, Qing Wu, Tieke He
2020 A conf
TauJud: test augmentation of machine learning in judicial documents.
ISSTA
Zichen Guo, Jiawei Liu, Tieke He, Zhuoyang Li, Peitian Zhangzhu
2020 — conf
The Design and Implementation of Test System for Expression Ability Evaluation.
DSA
Yansong Li, Yu Xing, Yubo Qian, Desheng Wang, Yifei Yang, Qing Wu, Tieke He
2019 — conf
3Q: A 3-Layer Semantic Analysis Model for Question Suite Reduction.
IScIDE (2)
Wei Dai, Siyuan Sheni, Tieke He
2019 — conf
A Content-Based Recommendation Framework for Judicial Cases.
ICPCSEE (1)
Zichen Guo, Tieke He, Zemin Qin, Zicong Xie, Jia Liu
2019 — conf
A Deep Learning Method for Judicial Decision Support.
QRS Companion
Baogui Chen, Yu Li, Shu Zhang, Hao Lian, Tieke He
2019 J jnl
A Unified Framework for Bug Report Assignment.
Int. J. Softw. Eng. Knowl. Eng.
Yuan Zhao, Tieke He, Zhenyu Chen
2019 J jnl
Automatic test report augmentation to assist crowdsourced testing.
Frontiers Comput. Sci.
Xin Chen, He Jiang, Zhenyu Chen, Tieke He, Liming Nie
2019 Misc conf
Case Facts Analysis Method Based on Deep Learning.
WISA
Zihuan Xu, Tieke He, Hao Lian, Jiabing Wan, Hui Wang
2019 Misc conf
Ensemble Methods for Word Embedding Model Based on Judicial Text.
WISA
Chunyu Xia, Tieke He, Jiabing Wan, Hui Wang
2019 — conf
Judicial Case Screening Based on LDA.
ICPCSEE (1)
Jin Xu, Tieke He, Hao Lian, Jiabing Wan, Qin Kong
2019 — conf
Judicial Knowledge Reasoning Based on Representation Learning.
QRS Companion
Baogui Chen, Zhuoyang Li, Siyuan Shen, Zhipeng Zou, Tieke He
2019 — conf
L2R-QA: An Open-Domain Question Answering Framework.
IScIDE (2)
Tieke He, Yu Li, Zhipeng Zou, Qing Wu
2019 — conf
Quality Driven Judicial Data Governance.
QRS Companion
Tieke He, Shenghao Chen, Lian Hao, Jia Liu
2019 — conf
Similarity Analysis of Law Documents Based on Word2vec.
QRS Companion
Chunyu Xia, Tieke He, Wenlong Li, Zemin Qin, Zhipeng Zou
2019 — conf
Using Case Facts to Predict Accusation Based on Deep Learning.
QRS Companion
Hui Wang, Tieke He, Zhipeng Zou, Siyuan Shen, Yu Li
2019 — conf
Using Case Facts to Predict Penalty with Deep Learning.
ICPCSEE (2)
Yu Li, Tieke He, Ge Yan, Shu Zhang, Hui Wang
2018 A conf
Automated quality assessment for crowdsourced test reports of mobile applications.
SANER
Xin Chen, He Jiang, Xiaochen Li, Tieke He, Zhenyu Chen
2018 — conf
Con-CNAME: A Contextual Multi-armed Bandit Algorithm for Personalized Recommendations.
ICANN (2)
Xiaofang Zhang, Qian Zhou, Tieke He, Bin Liang
2018 — conf
E-CAT: Evaluating Crowdsourced Android Testing.
ICPCSEE (1)
Hao Lian, Zemin Qin, Hangcheng Song, Tieke He
2018 J jnl
Fuzzy Clustering of Crowdsourced Test Reports for Apps.
ACM Trans. Internet Techn.
He Jiang, Xin Chen, Tieke He, Zhenyu Chen, Xiaochen Li
2018 J jnl
PTM: A Topic Model for the Inferring of the Penalty.
J. Comput. Sci. Technol.
Tieke He, Hao Lian, Zemin Qin, Zhenyu Chen, Bin Luo
2018 — conf
Predicting Passenger's Public Transportation Travel Route Using Smart Card Data.
APWeb/WAIM (2)
Chen Yang, Wei Chen, Bolong Zheng, Tieke He, Kai Zheng, Han Su
2018 — conf
Research on Judicial Data Standard.
QRS Companion
Zemin Qin, Tieke He, Hao Lian, Yuanhan Tian, Jia Liu
2018 — conf
Research on the Information Quality Measurement of Judicial Documents.
QRS Companion
Hao Lian, Tieke He, Zemin Qin, Haoyu Li, Jia Liu
2018 Misc conf
Word Embedding Based Document Similarity for the Inferring of Penalty.
WISA
Tieke He, Hao Lian, Zemin Qin, Zhipeng Zou, Bin Luo
2017 J jnl
An empirical study on user-topic rating based collaborative filtering methods.
World Wide Web
Tieke He, Zhenyu Chen, Jia Liu, Xiaofang Zhou, Xingzhong Du, Weiqing Wang
2017 Misc conf
Cluster Correction on Polysemy and Synonymy.
WISA
Zemin Qin, Hao Lian, Tieke He, Bin Luo
2017 Misc conf
Clustering on the Stream of Crowdsourced Testing.
WISA
Siyuan Shen, Hao Lian, Tieke He, Zhenyu Chen
2017 C conf
Exploring the Influence of Feature Selection Techniques on Bug Report Prioritization.
SEKE
Yabin Wang, Tieke He, Weiqiang Zhang, Chunrong Fang, Bin Luo
2017 Misc conf
Knowledge Graph Construction Based on Judicial Data with Social Media.
WISA
Hao Lian, Zemin Qin, Tieke He, Bin Luo
2017 A* conf
PaRE: A System for Personalized Route Guidance.
WWW
Yaguang Li, Han Su, Ugur Demiryurek, Bolong Zheng, Tieke He, Cyrus Shahabi
2016 J jnl
A Spatial-Temporal Topic Model for the Semantic Annotation of POIs in LBSNs.
ACM Trans. Intell. Syst. Technol.
Tieke He, Hongzhi Yin, Zhenyu Chen, Xiaofang Zhou, Shazia Sadiq, Bin Luo
2016 C conf
An Efficient Algorithm to Identify Minimal Failure-Causing Schemas from Exhaustive Test Suite.
SEKE
Yuanchao Qi, Qi Wang, Chiya Xu, Tieke He, Ziyuan Wang
2016 — conf
Automated Evaluation for Performance Test Scripts.
QRS Companion
Ruijing Gao, Zhenyu Chen, Chunrong Fang, Tieke He, Peizhang Xie, Jungui Zhou
2016 C conf
Exploring the Influence of Time Factor in Bug Report Prioritization.
SEKE
Zhengjie Xu, Tieke He, Weiqiang Zhang, Yabin Wang, Jia Liu, Zhenyu Chen
2016 C conf
Mining Feature-Opinion from Reviews Based on Dependency Parsing.
SEKE
Rui Hao, Tieke He, Hang Qi, Jia Liu
2016 J jnl
Mining Feature-Opinion from Reviews Based on Dependency Parsing.
Int. J. Softw. Eng. Knowl. Eng.
Tieke He, Rui Hao, Hang Qi, Jia Liu, Qing Wu
2015 Misc conf
Predicting Passengers in Public Transportation Using Smart Card Data.
ADC
Mengyu Dou, Tieke He, Hongzhi Yin, Xiaofang Zhou, Zhenyu Chen, Bin Luo
2015 Misc conf
Predicting Users' Purchasing Behaviors Using Their Browsing History.
ADC
Tieke He, Hongzhi Yin, Zhenyu Chen, Xiaofang Zhou, Bin Luo
2013 C conf
ABEY: an Incremental Personalized Method Based on Attribute Entropy for Recommender Systems (S).
SEKE
Xingzhong Du, Tieke He, Zhenyu Chen, Jia Liu, Chengfeng Hui
2013 C conf
Comparing Collaborative Filtering Methods Based on User-Topic Ratings.
SEKE
Tieke He, Xingzhong Du, Weiqing Wang, Zhenyu Chen, Jia Liu