| 2026 | AAAI | 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 |
| 2026 | AAAI | On Modality Weighting and Specificity for Multi-Modal Entity Alignment. | Yu Xing, Qizhuo Xie, Yunhui Liu, Qing Gu, Tao Zheng, Bin Chong, Tieke He |
| 2026 | ACL | CoDA: Restoring Contextual Dominance via Copy-Encouraged Attention Intervention for Mitigating RAG Hallucinations. | Jinwei Shi, Qizhuo Xie, Qianzi Hou, Zhipeng Wang, Wanting Su, Jianhua Zhao, Tao Zheng, Tieke He |
| 2026 | ACL | 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 |
| 2026 | ACL | 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 |
| 2026 | KDD | Learning Hierarchical Knowledge in Text-Rich Networks with Taxonomy-Informed Representation Learning. | Yunhui Liu, Yongchao Liu, Yinfeng Chen, Chuntao Hong, Tao Zheng, Tieke He |
| 2026 | WWW | Tabular Foundation Models are Strong Graph Anomaly Detectors. | Yunhui Liu, Tieke He, Yongchao Liu, Can Yi, Hong Jin, Chuntao Hong |
| 2026 | WWW | 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 |
| 2026 | WWW | 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 |
| 2025 | DASFAA | 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 |
| 2025 | ICASSP | Norm Augmented Graph AutoEncoders for Link Prediction. | Yunhui Liu, Huaisong Zhang, Xinyi Gao, Liuye Guo, Zhen Tao, Tieke He |
| 2025 | ICASSP | Dynamic Graph Recommendation via Sparse Augmentation and Singular Adaptation. | Zhen Tao, Yuehang Cao, Yang Fang, Yunhui Liu, Xiang Zhao, Tieke He |
| 2025 | IJCNN | Working Towards Toxic datasets for LLM Safeguarding. | Liuye Guo, Ziyuan Wang, Zhipeng Wang, Tieke He |
| 2025 | WWW | Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse Domains. | Yunhui Liu, Qizhuo Xie, Jinwei Shi, Jiaxu Shen, Tieke He |
| 2024 | CIKM | Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering. | Yunhui Liu, Tieke He, Qing Wu, Tao Zheng, Jianhua Zhao |
| 2023 | WWW | Interaction-level Membership Inference Attack Against Federated Recommender Systems. | Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin |
| 2023 | SIGIR | Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures. | Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin |
| 2023 | WSDM | Federated Unlearning for On-Device Recommendation. | Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang |
| 2022 | ISSTA | CIRCLE: continual repair across programming languages. | Wei Yuan, Quanjun Zhang, Tieke He, Chunrong Fang, Nguyen Quoc Viet Hung, Xiaodong Hao, Hongzhi Yin |
| 2022 | WWW | Unified Question Generation with Continual Lifelong Learning. | Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui |
| 2021 | WWW | Improving Neural Question Generation using Deep Linguistic Representation. | Wei Yuan, Tieke He, Xinyu Dai |
| 2020 | ISSTA | Crowdsourced requirements generation for automatic testing via knowledge graph. | Chao Guo, Tieke He, Wei Yuan, Yue Guo, Rui Hao |
| 2020 | ISSTA | TauJud: test augmentation of machine learning in judicial documents. | Zichen Guo, Jiawei Liu, Tieke He, Zhuoyang Li, Peitian Zhangzhu |
| 2019 | QRS | Judicial Knowledge Reasoning Based on Representation Learning. | Baogui Chen, Zhuoyang Li, Siyuan Shen, Zhipeng Zou, Tieke He |
| 2019 | QRS | A Deep Learning Method for Judicial Decision Support. | Baogui Chen, Yu Li, Shu Zhang, Hao Lian, Tieke He |
| 2019 | QRS | Quality Driven Judicial Data Governance. | Tieke He, Shenghao Chen, Lian Hao, Jia Liu |
| 2019 | QRS | Using Case Facts to Predict Accusation Based on Deep Learning. | Hui Wang, Tieke He, Zhipeng Zou, Siyuan Shen, Yu Li |
| 2019 | QRS | Similarity Analysis of Law Documents Based on Word2vec. | Chunyu Xia, Tieke He, Wenlong Li, Zemin Qin, Zhipeng Zou |
| 2018 | APWEB | Predicting Passenger's Public Transportation Travel Route Using Smart Card Data. | Chen Yang, Wei Chen, Bolong Zheng, Tieke He, Kai Zheng, Han Su |
| 2018 | ICANN | Con-CNAME: A Contextual Multi-armed Bandit Algorithm for Personalized Recommendations. | Xiaofang Zhang, Qian Zhou, Tieke He, Bin Liang |
| 2018 | QRS | Research on the Information Quality Measurement of Judicial Documents. | Hao Lian, Tieke He, Zemin Qin, Haoyu Li, Jia Liu |
| 2018 | QRS | Research on Judicial Data Standard. | Zemin Qin, Tieke He, Hao Lian, Yuanhan Tian, Jia Liu |
| 2017 | WWW | PaRE: A System for Personalized Route Guidance. | Yaguang Li, Han Su, Ugur Demiryurek, Bolong Zheng, Tieke He, Cyrus Shahabi |
| 2017 | SEKE | Exploring the Influence of Feature Selection Techniques on Bug Report Prioritization. | Yabin Wang, Tieke He, Weiqiang Zhang, Chunrong Fang, Bin Luo |
| 2016 | QRS | Automated Evaluation for Performance Test Scripts. | Ruijing Gao, Zhenyu Chen, Chunrong Fang, Tieke He, Peizhang Xie, Jungui Zhou |
| 2016 | SEKE | Mining Feature-Opinion from Reviews Based on Dependency Parsing. | Rui Hao, Tieke He, Hang Qi, Jia Liu |
| 2016 | SEKE | An Efficient Algorithm to Identify Minimal Failure-Causing Schemas from Exhaustive Test Suite. | Yuanchao Qi, Qi Wang, Chiya Xu, Tieke He, Ziyuan Wang |
| 2016 | SEKE | Exploring the Influence of Time Factor in Bug Report Prioritization. | Zhengjie Xu, Tieke He, Weiqiang Zhang, Yabin Wang, Jia Liu, Zhenyu Chen |
| 2015 | ADC | Predicting Passengers in Public Transportation Using Smart Card Data. | Mengyu Dou, Tieke He, Hongzhi Yin, Xiaofang Zhou, Zhenyu Chen, Bin Luo |
| 2015 | ADC | Predicting Users' Purchasing Behaviors Using Their Browsing History. | Tieke He, Hongzhi Yin, Zhenyu Chen, Xiaofang Zhou, Bin Luo |
| 2013 | SEKE | ABEY: an Incremental Personalized Method Based on Attribute Entropy for Recommender Systems (S). | Xingzhong Du, Tieke He, Zhenyu Chen, Jia Liu, Chengfeng Hui |
| 2013 | SEKE | Comparing Collaborative Filtering Methods Based on User-Topic Ratings. | Tieke He, Xingzhong Du, Weiqing Wang, Zhenyu Chen, Jia Liu |