2-PS Based Associative Text Classification. - Tieyun Qian; Yuanzhen Wang; Hao Long; Jianlin Feng (DaWaK, 2005)

Adapting association patterns for text categorization: weaknesses and enhancements. - Tieyun Qian; Hui Xiong 001; Yuanzhen Wang; Enhong Chen (CIKM, 2006)

An Evolutionary Computational Method for N-Connection Subgraph Discovery. - Enhong Chen; Xujia Chen; Phillip C.-Y. Sheu; Tieyun Qian (ICTAI, 2006)

Feature Selection, Rule Extraction, and Score Model: Making ATC Competitive with SVM. - Tieyun Qian; Yuanzhen Wang; Langgang Xiang; WeiHua Gong (RSKT, 2006)

On the strength of hyperclique patterns for text categorization. - Tieyun Qian; Hui Xiong 001; Yuanzhen Wang; Enhong Chen (Inf. Sci., 2007)

A Scientific Theme Emergence Detection Approach Based on Citation Graph Analysis. - Tieyun Qian; Phillip C.-Y. Sheu; Shijun Li 001; Lina Wang (ICTAI (2), 2008)

Efficient strategies for tough aggregate constraint-based sequential pattern mining. - Enhong Chen; Huanhuan Cao; Qing Li 001; Tieyun Qian (Inf. Sci., 2008)

What's behind topic formation and development: a perspective of community core groups. - Tieyun Qian; Qing Li 001; Bing Liu 001; Hui Xiong 001; Jaideep Srivastava; Phillip C.-Y. Sheu (CIKM, 2009)

Simultaneously Finding Fundamental Articles and New Topics Using a Community Tracking Method. - Tieyun Qian; Jaideep Srivastava; Zhiyong Peng 001; Phillip C.-Y. Sheu (PAKDD, 2009)

Influence maximization through identifying seed nodes from implicit social networks. - Tieyun Qian; Jiangbo Liu (ICUIMC, 2010)

Refining Graph Partitioning for Social Network Clustering. - Tieyun Qian; Yang Yang 009; Shuo Wang 011 (WISE, 2010)

Finding Relevant Papers Based on Citation Relations. - Yicong Liang; Qing Li 001; Tieyun Qian (WAIM, 2011)

A framework for evaluating network measures for functional importance. - Tieyun Qian; Qing Li 001; Jaideep Srivastava (WWW (Companion Volume), 2011)

Leveraging Network Structure for Incremental Document Clustering. - Tieyun Qian; Jianfeng Si; Qing Li 001; Qian Yu (APWeb, 2012)

Discovering K Web User Groups with Specific Aspect Interests. - Jianfeng Si; Qing Li 001; Tieyun Qian; Xiaotie Deng (MLDM, 2012)

Hierarchical Clustering on HDP Topics to build a Semantic Tree from Text. - Jianfeng Si; Qing Li 001; Tieyun Qian; Xiaotie Deng (VLDS, 2012)

Detecting Professional Spam Reviewers. - Junlong Huang; Tieyun Qian; Guoliang He; Ming Zhong 002; Qingxi Peng (ADMA (2), 2013)

A Local Greedy Search Method for Detecting Community Structure in Weighted Social Networks. - Bin Liu; Tieyun Qian (ADMA (1), 2013)

Early prediction on imbalanced multivariate time series. - Guoliang He; Yong Duan; Tieyun Qian; Xu Chen (CIKM, 2013)

MVP Index: Towards Efficient Known-Item Search on Large Graphs. - Ming Zhong 002; Mengchi Liu; Zhifeng Bao; Xuhui Li 001; Tieyun Qian (DASFAA (1), 2013)

Identifying Multiple Userids of the Same Author. - Tieyun Qian; Bing Liu 001 (EMNLP, 2013)

An Empirical Evaluation of SVM on Meta Features for Authorship Attribution of Online Texts. - Hongwei Yao; Tieyun Qian; Li Chen 031; Manyun Qian; Xueyu Mo (MIKE, 2013)

Tri-Training for Authorship Attribution with Limited Training Data. - Tieyun Qian; Bing Liu 001; Li Chen 031; Zhiyong Peng 001 (ACL (2), 2014)

Co-training on authorship attribution with very fewlabeled examples: methods vs. views. - Tieyun Qian; Bing Liu 001; Ming Zhong 002; Guoliang He (SIGIR, 2014)

Authorship Attribution with Very Few Labeled Data: A Co-training Approach. - Mengdi Fan; Tieyun Qian; Li Chen 031; Bin Liu; Ming Zhong 002; Guoliang He (WAIM, 2014)

Topic formation and development: a core-group evolving process. - Tieyun Qian; Qing Li 001; Bing Liu 001; Hui Xiong 001; Jaideep Srivastava; Phillip C.-Y. Sheu (World Wide Web, 2014)

Exploiting small world property for network clustering. - Tieyun Qian; Qing Li 001; Jaideep Srivastava; Zhiyong Peng 001; Yang Yang 009; Shuo Wang 011 (World Wide Web, 2014)

Users' interest grouping from online reviews based on topic frequency and order. - Jianfeng Si; Qing Li 001; Tieyun Qian; Xiaotie Deng (World Wide Web, 2014)

Active Learning for Multivariate Time Series Classification with Positive Unlabeled Data. - Guoliang He; Yong Duan; Yifei Li; Tieyun Qian; Jinrong He; Xiangyang Jia (ICTAI, 2015)

Age Detection for Chinese Users in Weibo. - Li Chen 031; Tieyun Qian; Fei Wang; Zhenni You; Qingxi Peng; Ming Zhong 002 (WAIM, 2015)

LDM: A DTD Schema Mapping Language Based on Logic Patterns. - Xuhui Li 001; Yijun Guan; Mengchi Liu; Rui Cai; Ming Zhong 002; Tieyun Qian (WAIM, 2015)

Coherent Topic Hierarchy: A Strategy for Topic Evolutionary Analysis on Microblog Feeds. - Jiahui Zhu; Xuhui Li 001; Min Peng 002; Jiajia Huang; Tieyun Qian; Jimin Huang; Jiping Liu; Ri Hong; Pinglan Liu (WAIM, 2015)

Early classification on multivariate time series. - Guoliang He; Yong Duan; Rong Peng; Xiaoyuan Jing; Tieyun Qian; Lingling Wang (Neurocomputing, 2015)

Review Authorship Attribution in a Similarity Space. - Tieyun Qian; Bing Liu 001; Qing Li 001; Jianfeng Si (J. Comput. Sci. Technol., 2015)

Fast Rare Category Detection Using Nearest Centroid Neighborhood. - Song Wang; Hao Huang 001; Yunjun Gao; Tieyun Qian; Liang Hong; Zhiyong Peng 001 (APWeb (1), 2016)

Modeling for Noisy Labels of Crowd Workers. - Qian Yan 001; Hao Huang 001; Yunjun Gao; Chen Ying; Qingyang Hu; Tieyun Qian; Qinming He (APWeb (2), 2016)

Inferring Lurkers' Gender by Their Interest Tags. - Peisong Zhu; Tieyun Qian; Zhenni You; Xuhui Li 001 (DEXA (2), 2016)

Inferring Users' Gender from Interests: A Tag Embedding Approach. - Peisong Zhu; Tieyun Qian; Ming Zhong 002; Xuhui Li 001 (ICONIP (4), 2016)

Learning User Embedding Representation for Gender Prediction. - Li Chen 031; Tieyun Qian; Peisong Zhu; Zhenni You (ICTAI, 2016)

Automatic Reproducible Crash Detection. - Yongfeng Gu; Jifeng Xuan; Tieyun Qian (SATE, 2016)

Social Spammer Detection via Structural Properties in Ego Network. - Baochao Zhang; Tieyun Qian; Yiqi Chen; Zhenni You (SMP, 2016)

Fast and accurate identification of implicit enterprise users in social media. - Zhenni You; Diqian Wu; Yi Wang; Tieyun Qian (WebDB, 2016)

Identifying Implicit Enterprise Users from the Imbalanced Social Data. - Zhenni You; Tieyun Qian; Baochao Zhang; Shi Ying (WISE (2), 2016)

Tri-Training for authorship attribution with limited training data: a comprehensive study. - Tieyun Qian; Bing Liu 001; Li Chen 031; Zhiyong Peng 001; Ming Zhong 002; Guoliang He; Xuhui Li 001; Gang Xu (Neurocomputing, 2016)

Diversified Top-k Keyword Query Interpretation on Knowledge Graphs. - Ying Wang; Ming Zhong 002; Yuanyuan Zhu 001; Xuhui Li 001; Tieyun Qian (APWeb/WAIM (1), 2017)

Exploit Label Embeddings for Enhancing Network Classification. - Yiqi Chen; Tieyun Qian; Ming Zhong 002; Xuhui Li 001 (DEXA (2), 2017)

SLICE: Structural and Label Information Combined Embedding for Networks. - Yiqi Chen; Tieyun Qian (ICONIP (2), 2017)

Learning Spatiotemporal-Aware Representation for POI Recommendation. - Bei Liu; Tieyun Qian; Bing Liu 001; Liang Hong; Zhenni You; Yuxiang Li (CoRR, 2017)

基于社会化表示的用户性别识别 (Identifying Users' Gender via Social Representations). - Peisong Zhu; Tieyun Qian; Minquan Wu (计算机科学, 2017)

"Bridge": Enhanced Signed Directed Network Embedding. - Yiqi Chen; Tieyun Qian; Huan Liu 001; Ke Sun 010 (CIKM, 2018)

An Attribute Enhanced Domain Adaptive Model for Cold-Start Spam Review Detection. - Zhenni You; Tieyun Qian; Bing Liu 001 (COLING, 2018)

Enhanced Aspect Level Sentiment Classification with Auxiliary Memory. - Peisong Zhu; Tieyun Qian (COLING, 2018)

Sample Location Selection for Efficient Distance-Aware Influence Maximization in Geo-Social Networks. - Ming Zhong 002; Qian Zeng; Yuanyuan Zhu 001; Jianxin Li 001; Tieyun Qian (DASFAA (1), 2018)

BASSI: Balance and Status Combined Signed Network Embedding. - Yiqi Chen; Tieyun Qian; Ming Zhong 002; Xuhui Li 001 (DASFAA (1), 2018)

Exploiting User and Item Attributes for Sequential Recommendation. - Ke Sun 010; Tieyun Qian (ICONIP (5), 2018)

Learning a Joint Representation for Classification of Networked Documents. - Zhenni You; Tieyun Qian (ICONIP (5), 2018)

Time and Location Aware Points of Interest Recommendation in Location-Based Social Networks. - Tieyun Qian; Bei Liu; Liang Hong; Zhenni You (J. Comput. Sci. Technol., 2018)

Transfer Capsule Network for Aspect Level Sentiment Classification. - Zhuang Chen 002; Tieyun Qian (ACL (1), 2019)

What Can History Tell Us? - Ke Sun 010; Tieyun Qian; Hongzhi Yin; Tong Chen 005; Yiqi Chen; Ling Chen 006 (CIKM, 2019)

Towards both Local and Global Query Result Diversification. - Ming Zhong 002; Huanyu Cheng; Ying Wang; Yuanyuan Zhu 001; Tieyun Qian; Jianxin Li 001 (DASFAA (2), 2019)

Align Reviews with Topics in Attention Network for Rating Prediction. - Yile Liang; Tieyun Qian; Huilin Yu (DASFAA (3), 2019)

Generating Behavior Features for Cold-Start Spam Review Detection. - Xiaoya Tang; Tieyun Qian; Zhenni You (DASFAA (3), 2019)

Keyword Search Based Mashup Construction with Guaranteed Diversity. - Huanyu Cheng; Ming Zhong 002; Jian Wang 018; Tieyun Qian (DEXA (2), 2019)

Aspect-Level Sentiment Classification with Dependency Rules and Dual Attention. - Yunkai Yang; Tieyun Qian; Zhuang Chen 002 (ICONIP (2), 2019)

Seq2seq Translation Model for Sequential Recommendation. - Ke Sun 010; Tieyun Qian (CoRR, 2019)

Solving Cold Start Problem in Recommendation with Attribute Graph Neural Networks. - Tieyun Qian; Yile Liang; Qing Li 001 (CoRR, 2019)

Towards a semantics representation framework for narrative images. - Xuhui Li 001; Yanqiu Wu 005; Xiaoguang Wang; Tieyun Qian; Liang Hong (Electron. Libr., 2019)

Patent expanded retrieval via word embedding under composite-domain perspectives. - Fei Wang; Tieyun Qian; Bin Liu; Zhiyong Peng 001 (Frontiers Comput. Sci., 2019)

Does the fault reside in a stack trace? Assisting crash localization by predicting crashing fault residence. - Yongfeng Gu; Jifeng Xuan; Hongyu Zhang 002; Lanxin Zhang; Qingna Fan; Xiaoyuan Xie; Tieyun Qian (J. Syst. Softw., 2019)

Aspect Aware Learning for Aspect Category Sentiment Analysis. - Peisong Zhu; Zhuang Chen 002; Haojie Zheng; Tieyun Qian (ACM Trans. Knowl. Discov. Data, 2019)

Spatiotemporal Representation Learning for Translation-Based POI Recommendation. - Tieyun Qian; Bei Liu; Quoc Viet Hung Nguyen; Hongzhi Yin (ACM Trans. Inf. Syst., 2019)

Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation. - Ke Sun 010; Tieyun Qian; Tong Chen 005; Yile Liang; Quoc Viet Hung Nguyen; Hongzhi Yin (AAAI, 2020)

Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis. - Zhuang Chen 002; Tieyun Qian (ACL, 2020)

Adversarial Generation of Target Review for Rating Prediction. - Huilin Yu; Tieyun Qian; Yile Liang; Bing Liu 001 (DASFAA (2), 2020)

Enhancing Aspect Term Extraction with Soft Prototypes. - Zhuang Chen 002; Tieyun Qian (EMNLP (1), 2020)

Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect Level Sentiment Analysis. - Mi Zhang 006; Tieyun Qian (EMNLP (1), 2020)

Exploit Multiple Reference Graphs for Semi-supervised Relation Extraction. - Wanli Li 002; Tieyun Qian (CoRR, 2020)

AGTR: Adversarial Generation of Target Review for Rating Prediction. - Huilin Yu; Tieyun Qian; Yile Liang; Bing Liu 001 (Data Sci. Eng., 2020)

ARTAN: Align reviews with topics in attention network for rating prediction. - Yile Liang; Tieyun Qian; Huilin Yu (Neurocomputing, 2020)

Relation constrained attributed network embedding. - Yiqi Chen; Tieyun Qian (Inf. Sci., 2020)

Generating behavior features for cold-start spam review detection with adversarial learning. - Xiaoya Tang; Tieyun Qian; Zhenni You (Inf. Sci., 2020)

Bridge-Based Active Domain Adaptation for Aspect Term Extraction. - Zhuang Chen 002; Tieyun Qian (ACL/IJCNLP (1), 2021)

Exploit a Multi-head Reference Graph for Semi-supervised Relation Extraction. - Wanli Li 002; Tieyun Qian; Xu Chen; Kejian Tang; Shaohui Zhan; Tao Zhan (IJCNN, 2021)

Generating Pseudo Connectives with MLMs for Implicit Discourse Relation Recognition. - Congcong Jiang; Tieyun Qian; Zhuang Chen 002; Kejian Tang; Shaohui Zhan; Tao Zhan (PRICAI (2), 2021)

Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation. - Yile Liang; Tieyun Qian; Qing Li 001; Hongzhi Yin (SIGIR, 2021)

Efficient Sample Location Selection for Query Zone in Geo-Social Networks. - Kejian Tang; Shaohui Zhan; Tao Zhan; Hui Zhu; Qian Zeng; Ming Zhong 002; Xiaoyu Zhu; Yuanyuan Zhu 001; Jianxin Li 001; Tieyun Qian (Complex., 2021)

Recommending Accurate and Diverse Items Using Bilateral Branch Network. - Yile Liang; Tieyun Qian (CoRR, 2021)

Intent Disentanglement and Feature Self-supervision for Novel Recommendation. - Tieyun Qian; Yile Liang; Qing Li 001; Xuan Ma; Ke Sun 006; Zhiyong Peng 001 (CoRR, 2021)

Multi-Scale Feature and Metric Learning for Relation Extraction. - Mi Zhang 006; Tieyun Qian (CoRR, 2021)

From Consensus to Disagreement: Multi-Teacher Distillation for Semi-Supervised Relation Extraction. - Wanli Li 002; Tieyun Qian (CoRR, 2021)

Towards evolutionary knowledge representation under the big data circumstance. - Xuhui Li 001; Liuyan Liu; Xiaoguang Wang; Yiwen Li; Qingfeng Wu; Tieyun Qian (Electron. Libr., 2021)

Context-aware seq2seq translation model for sequential recommendation. - Ke Sun 010; Tieyun Qian; Xu Chen; Ming Zhong 002 (Inf. Sci., 2021)

Business location planning based on a novel geo-social influence diffusion model. - Qian Zeng; Ming Zhong 002; Yuanyuan Zhu 001; Tieyun Qian; Jianxin Li 001 (Inf. Sci., 2021)

Enhancing Graph Convolution Network for Novel Recommendation. - Xuan Ma; Tieyun Qian; Yile Liang; Ke Sun 010; Hang Yun; Mi Zhang 006 (DASFAA (2), 2022)

Graph-based Model Generation for Few-Shot Relation Extraction. - Wanli Li 002; Tieyun Qian (EMNLP, 2022)

Knowledge Distillation for Discourse Relation Analysis. - Congcong Jiang; Tieyun Qian; Bing Liu 001 (WWW (Companion Volume), 2022)

Automatically Generating Counterfactuals for Relation Exaction. - Mi Zhang 006; Tieyun Qian; Ting Zhang (CoRR, 2022)

On the form of parsed sentences for relation extraction. - Xiaoying Chen; Mi Zhang 006; Shengwu Xiong 001; Tieyun Qian (Knowl. Based Syst., 2022)

Retrieve-and-Edit Domain Adaptation for End2End Aspect Based Sentiment Analysis. - Zhuang Chen 002; Tieyun Qian (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Exploit Feature and Relation Hierarchy for Relation Extraction. - Mi Zhang 006; Tieyun Qian; Bing Liu 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Effective Deep Attributed Network Representation Learning With Topology Adapted Smoothing. - Jia Chen; Ming Zhong 002; Jianxin Li 001; Dianhui Wang 001; Tieyun Qian; Hang Tu (IEEE Trans. Cybern., 2022)

Attribute Graph Neural Networks for Strict Cold Start Recommendation. - Tieyun Qian; Yile Liang; Qing Li 001; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2022)

Description and demonstration guided data augmentation for sequence tagging. - Zhuang Chen 002; Tieyun Qian (World Wide Web, 2022)

On the Strength of Sequence Labeling and Generative Models for Aspect Sentiment Triplet Extraction. - Shen Zhou; Tieyun Qian (ACL (Findings), 2023)

Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition. - Yongqi Li 002; Yu Yu; Tieyun Qian (EMNLP (Findings), 2023)

Dynamic Open-book Prompt for Conversational Recommender System. - Xuan Ma; Tieyun Qian; Ke Sun 010 (EMNLP (Findings), 2023)

Generating Commonsense Counterfactuals for Stable Relation Extraction. - Xin Miao; Yongqi Li 002; Tieyun Qian (EMNLP, 2023)

Attribute Graph Neural Networks for Strict Cold Start Recommendation : Extended Abstract. - Tieyun Qian; Yile Liang; Qing Li 001; Hui Xiong 001 (ICDE, 2023)

Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing. - Ting Zhang; Zhuang Chen 002; Ming Zhong 002; Tieyun Qian (IJCAI, 2023)

Cold-Start Multi-hop Reasoning by Hierarchical Guidance and Self-verification. - Mayi Xu; Ke Sun 010; Yongqi Li 002; Tieyun Qian (ECML/PKDD (2), 2023)

Towards Model Robustness: Generating Contextual Counterfactuals for Entities in Relation Extraction. - Mi Zhang 006; Tieyun Qian; Ting Zhang; Xin Miao (WWW, 2023)

Scalable Time-Range k-Core Query on Temporal Graphs(Full Version). - Junyong Yang; Ming Zhong 002; Yuanyuan Zhu 001; Tieyun Qian; Mengchi Liu; Jeffrey Xu Yu (CoRR, 2023)

Generative Meta-Learning for Zero-Shot Relation Triplet Extraction. - Wanli Li 002; Tieyun Qian (CoRR, 2023)

Large Language Models as Counterfactual Generator: Strengths and Weaknesses. - Yongqi Li 002; Mayi Xu; Xin Miao; Shen Zhou; Tieyun Qian (CoRR, 2023)

Towards a "Swiss Army Knife" for Scalable User-Defined Temporal (k, X)-Core Analysis. - Ming Zhong 002; Junyong Yang; Yuanyuan Zhu 001; Tieyun Qian; Mengchi Liu; Jeffrey Xu Yu (CoRR, 2023)

Scalable Time-Range k-Core Query on Temporal Graphs. - Junyong Yang; Ming Zhong 002; Yuanyuan Zhu 001; Tieyun Qian; Mengchi Liu; Jeffrey Xu Yu (Proc. VLDB Endow., 2023)

Towards more effective encoders in pre-training for sequential recommendation. - Ke Sun 010; Tieyun Qian; Ming Zhong 002; Xuhui Li 001 (World Wide Web (WWW), 2023)

Intent Disentanglement and Feature Self-Supervision for Novel Recommendation. - Tieyun Qian; Yile Liang; Qing Li 001; Xuan Ma; Ke Sun 010; Zhiyong Peng 001 (IEEE Trans. Knowl. Data Eng., 2023)

Interactive Lexical and Semantic Graphs for Semisupervised Relation Extraction. - Wanli Li 002; Tieyun Qian; Ming Zhong 002; Xu Chen (IEEE Trans. Neural Networks Learn. Syst., 2023)

Pre-Training Across Different Cities for Next POI Recommendation. - Ke Sun 010; Tieyun Qian; Chenliang Li; Xuan Ma; Qing Li 001; Ming Zhong 002; Yuanyuan Zhu 001; Mengchi Liu (ACM Trans. Web, 2023)

Implanting LLM's Knowledge via Reading Comprehension Tree for Toxicity Detection. - Hankun Kang; Tieyun Qian (ACL (Findings), 2024)

Episodic Memory Retrieval from LLMs: A Neuromorphic Mechanism to Generate Commonsense Counterfactuals for Relation Extraction. - Xin Miao; Yongqi Li 002; Shen Zhou; Tieyun Qian (ACL (Findings), 2024)

An Ensemble-of-Experts Framework for Rehearsal-free Continual Relation Extraction. - Shen Zhou; Yongqi Li 002; Xin Miao; Tieyun Qian (ACL (Findings), 2024)

DCOAT: Dynamic Core-attachment based Protein Complex Detection. - Yaoran Chen; Difu Feng; Yuanyuan Zhu 001; Guojing Li; Ming Zhong 002; Tieyun Qian; Juan Liu 007 (BIBM, 2024)

Prompting Large Language Models for Counterfactual Generation: An Empirical Study. - Yongqi Li 002; Mayi Xu; Xin Miao; Shen Zhou; Tieyun Qian (LREC/COLING, 2024)

Adaption-of-Thought: Learning Question Difficulty Improves Large Language Models for Reasoning. - Mayi Xu; Yongqi Li 002; Ke Sun 010; Tieyun Qian (EMNLP, 2024)

Querying Cohesive Subgraph Regarding Span-Constrained Triangles on Temporal Graphs. - Chuhan Hu; Ming Zhong 002; Yuanyuan Zhu 001; Tieyun Qian; Ting Yu 004; Hongyang Chen; Mengchi Liu; Jeffrey Xu Yu (ICDE, 2024)

Depression Detection in Clinical Interviews with LLM-Empowered Structural Element Graph. - Zhuang Chen 002; Jiawen Deng; Jinfeng Zhou; Jincenzi Wu; Tieyun Qian; Minlie Huang (NAACL-HLT, 2024)

Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective. - Xuan Ma; Zepeng Bao; Ming Zhong 002; Yuanyuan Zhu 001; Chenliang Li; Jiawei Jiang 001; Qing Li 001; Tieyun Qian (CoRR, 2024)

PSA-GNN: An augmented GNN framework with priori subgraph knowledge. - Guotong Xue; Ming Zhong 002; Tieyun Qian; Jianxin Li 001 (Neural Networks, 2024)

One General Teacher for Multi-Data Multi-Task: A New Knowledge Distillation Framework for Discourse Relation Analysis. - Congcong Jiang; Tieyun Qian; Bing Liu 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Evolution Forest Index: Towards Optimal Temporal $k$-Core Component Search via Time-Topology Isomorphic Computation. - Junyong Yang; Ming Zhong 002; Yuanyuan Zhu 001; Tieyun Qian; Mengchi Liu; Jeffrey Xu Yu (Proc. VLDB Endow., 2024)

A Unified and Scalable Algorithm Framework of User-Defined Temporal $(k, mathcal {X})$(k,X)-Core Query. - Ming Zhong 002; Junyong Yang; Yuanyuan Zhu 001; Tieyun Qian; Mengchi Liu; Jeffrey Xu Yu (IEEE Trans. Knowl. Data Eng., 2024)

Adversarial Multi-Teacher Distillation for Semi-Supervised Relation Extraction. - Wanli Li 002; Tieyun Qian; Xuhui Li 001; Lixin Zou (IEEE Trans. Neural Networks Learn. Syst., 2024)

City Matters! A Dual-Target Cross-City Sequential POI Recommendation Model. - Ke Sun 010; Chenliang Li; Tieyun Qian (ACM Trans. Inf. Syst., 2024)

Strong Empowered and Aligned Weak Mastered Annotation for Weak-to-Strong Generalization. - Yongqi Li 002; Xin Miao; Mayi Xu; Tieyun Qian (AAAI, 2025)

Enhancing Relation Extraction via Supervised Rationale Verification and Feedback. - Yongqi Li 002; Xin Miao; Shen Zhou; Mayi Xu; Yuyang Ren; Tieyun Qian (AAAI, 2025)

Aligning VLM Assistants with Personalized Situated Cognition. - Yongqi Li 002; Shen Zhou; Xiaohu Li; Xin Miao; Jintao Wen; Mayi Xu; Jianhao Chen; Birong Pan; Hankun Kang; Yuanyuan Zhu 001; Ming Zhong 002; Tieyun Qian (ACL (1), 2025)

CAVGAN: Unifying Jailbreak and Defense of LLMs via Generative Adversarial Attacks on their Internal Representations. - Xiaohu Li; Yunfeng Ning; Zepeng Bao; Mayi Xu; Jianhao Chen; Tieyun Qian (ACL (Findings), 2025)

Efficient Frequency-Aware k-Core Query on Temporal Graphs. - Zhongfan Du; Ming Zhong 002; Yuanyuan Zhu 001; Tieyun Qian; Mengchi Liu; Jeffrey Xu Yu (ICDE, 2025)

TDT: Tensor Based Directed Truss Decomposition. - Guojing Li; Yuanyuan Zhu 001; Junchao Ma; Ming Zhong 002; Tieyun Qian; Jeffrey Xu Yu (ICDE, 2025)

Hounding Data Diversity: Towards Participant Selection in Vertical Federated Learning. - Xiaokai Zhou; Xiao Yan 002; Fangcheng Fu; Xinyan Li; Hao Huang 001; Quanqing Xu; Chuanhui Yang; Bo Du 001; Tieyun Qian; Jiawei Jiang 001 (ICDE, 2025)

Generative Meta-Learning for Zero-Shot Relation Triplet Extraction. - Wanli Li 002; Tieyun Qian; Yi Song; Zeyu Zhang 004; Jiawei Li 008; Zhuang Chen 002; Lixin Zou (SIGIR, 2025)

On More Efficiently and Versatilely Querying Historical k-Cores. - Zhi Wang; Ming Zhong 002; Yuanyuan Zhu 001; Tieyun Qian; Mengchi Liu; Jeffrey Xu Yu (Proc. VLDB Endow., 2025)

Data4RACTC. - Xuan Ma; Zepeng Bao; Ming Zhong 002; Yuanyuan Zhu 001; Chenliang Li; Jiawei Jiang 001; Qing Li 001; Tieyun Qian (IEEE DataPort, 2025)

TGraph: A Tensor-centric Graph Processing Framework. - Yongliang Zhang; Yuanyuan Zhu 001; Hao Zhang 098; Congli Gao; Yuyang Wang; Guojing Li; Tianyang Xu; Ming Zhong 002; Jiawei Jiang 001; Tieyun Qian; Chenyi Zhang 002; Jeffrey Xu Yu (Proc. ACM Manag. Data, 2025)

Privacy-protected Retrieval-Augmented Generation for Knowledge Graph Question Answering. - Yunfeng Ning; Mayi Xu; Jintao Wen; Qiankun Pi; Yuanyuan Zhu 001; Ming Zhong 002; Jiawei Jiang 001; Tieyun Qian (CoRR, 2025)

A Survey on Training-free Alignment of Large Language Models. - Birong Pan; Yongqi Li 002; Weiyu Zhang 001; Wenpeng Lu; Mayi Xu; Shen Zhou; Yuanyuan Zhu 001; Ming Zhong 002; Tieyun Qian (CoRR, 2025)

NeuronTune: Fine-Grained Neuron Modulation for Balanced Safety-Utility Alignment in LLMs. - Birong Pan; Mayi Xu; Qiankun Pi; Jianhao Chen; Yuanyuan Zhu 001; Ming Zhong 002; Tieyun Qian (CoRR, 2025)

FuSaR: A Fuzzification-Based Method for LRM Safety-Reasoning Balance. - Jianhao Chen; Mayi Xu; Xiaohu Li; Yongqi Li 002; Xiangyu Zhang; Jianjie Huang; Tieyun Qian (CoRR, 2025)

Format as a Prior: Quantifying and Analyzing Bias in LLMs for Heterogeneous Data. - Jiacheng Liu; Mayi Xu; Qiankun Pi; Wenli Li; Ming Zhong 002; Yuanyuan Zhu 001; Mengchi Liu; Tieyun Qian (CoRR, 2025)