| 2026 | AAAI | Format as a Prior: Quantifying and Analyzing Bias in LLMs for Heterogeneous Data. | Jiacheng Liu, Mayi Xu, Qiankun Pi, Wenli Li, Ming Zhong, Yuanyuan Zhu, Mengchi Liu, Tieyun Qian |
| 2026 | AAAI | Privacy-protected Retrieval-Augmented Generation for Knowledge Graph Question Answering. | Yunfeng Ning, Mayi Xu, Jintao Wen, Qiankun Pi, Yuanyuan Zhu, Ming Zhong, Jiawei Jiang, Tieyun Qian |
| 2026 | ACL | Understanding Generalization in Role-Playing Models via Information Theory. | Yongqi Li, Hao Lang, Fei Huang, Tieyun Qian, Yongbin Li |
| 2026 | ACL | Controlling Multimodal Conversational Agents with Coverage-Enhanced Latent Actions. | Yongqi Li, Hao Lang, Tieyun Qian, Yongbin Li |
| 2026 | DASFAA | Debiasing LLMs in Knowledge-Intensive Tasks via Information-Gain Guided Front-Door Adjustment. | Xin Miao, Yongqi Li, Hankun Kang, Mayi Xu, Jintao Wen, Yuanyuan Zhu, Ming Zhong, Jiawei Jiang, Tieyun Qian |
| 2026 | DASFAA | Discrimination Matters: A Simple but Effective Method for Zero-Shot Relation Triplet Extraction. | Yi Song, Qing Cheng, Tieyun Qian, Lixin Zou, Xuming Hu, Wanli Li, Zaiwen Feng |
| 2026 | ICDE | DM-RAG: Enhancing User Support in Dameng Databases with Retrieval-Augmented Generation. | Qiang Huang, Ke Liu, Liang Deng, Sijing Zhang, Chuang Hu, Tieyun Qian, Xiao Yan, Jiawei Jiang |
| 2026 | KDD | HAL: Accurate, Private, and Efficient Sample Alignment for Multimodal Federated Learning. | Xiaokai Zhou, Xiao Yan, Xinyan Li, Yuxiang Wang, Quanqing Xu, Chuang Hu, Tieyun Qian, Jiawei Jiang |
| 2026 | WWW | ContiGuard: A Framework for Continual Toxicity Detection Against Evolving Evasive Perturbations. | Hankun Kang, Xin Miao, Jianhao Chen, Jintao Wen, Mayi Xu, Weiyu Zhang, Wenpeng Lu, Tieyun Qian |
| 2026 | WWW | Tracing Belief-Driven Thoughts with Theory-of-Mind Agents: An Opinion Analysis Framework. | Jintao Wen, Yunfeng Ning, Hankun Kang, Xin Miao, Tieyun Qian |
| 2026 | SIGIR | Recursive Short-to-Long Generalization for Multi-hop Reasoning. | Mayi Xu, Ke Sun, Jianhao Chen, Qiankun Pi, Guixin Su, Yunfeng Ning, Yongqi Li, Yuanyuan Zhu, Ming Zhong, Jiawei Jiang, Tieyun Qian |
| 2025 | AAAI | Strong Empowered and Aligned Weak Mastered Annotation for Weak-to-Strong Generalization. | Yongqi Li, Xin Miao, Mayi Xu, Tieyun Qian |
| 2025 | AAAI | Enhancing Relation Extraction via Supervised Rationale Verification and Feedback. | Yongqi Li, Xin Miao, Shen Zhou, Mayi Xu, Yuyang Ren, Tieyun Qian |
| 2025 | ACL | Aligning VLM Assistants with Personalized Situated Cognition. | Yongqi Li, Shen Zhou, Xiaohu Li, Xin Miao, Jintao Wen, Mayi Xu, Jianhao Chen, Birong Pan, Hankun Kang, Yuanyuan Zhu, Ming Zhong, Tieyun Qian |
| 2025 | ACL | 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 |
| 2025 | APWEB | SynTSE: A Syntax-Aware Generative Method for Topic-Stance Extraction. | Jintao Wen, Yongqi Li, Shen Zhou, Ming Zhong, Yuanyuan Zhu, Tieyun Qian |
| 2025 | EMNLP | A Survey on Training-free Alignment of Large Language Models. | Birong Pan, Yongqi Li, Weiyu Zhang, Wenpeng Lu, Mayi Xu, Shen Zhou, Yuanyuan Zhu, Ming Zhong, Tieyun Qian |
| 2025 | ICDE | Efficient Frequency-Aware k-Core Query on Temporal Graphs. | Zhongfan Du, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu |
| 2025 | ICDE | TDT: Tensor Based Directed Truss Decomposition. | Guojing Li, Yuanyuan Zhu, Junchao Ma, Ming Zhong, Tieyun Qian, Jeffrey Xu Yu |
| 2025 | ICDE | Hounding Data Diversity: Towards Participant Selection in Vertical Federated Learning. | Xiaokai Zhou, Xiao Yan, Fangcheng Fu, Xinyan Li, Hao Huang, Quanqing Xu, Chuanhui Yang, Bo Du, Tieyun Qian, Jiawei Jiang |
| 2025 | SIGIR | Generative Meta-Learning for Zero-Shot Relation Triplet Extraction. | Wanli Li, Tieyun Qian, Yi Song, Zeyu Zhang, Jiawei Li, Zhuang Chen, Lixin Zou |
| 2024 | ACL | Implanting LLM's Knowledge via Reading Comprehension Tree for Toxicity Detection. | Hankun Kang, Tieyun Qian |
| 2024 | ACL | Episodic Memory Retrieval from LLMs: A Neuromorphic Mechanism to Generate Commonsense Counterfactuals for Relation Extraction. | Xin Miao, Yongqi Li, Shen Zhou, Tieyun Qian |
| 2024 | ACL | An Ensemble-of-Experts Framework for Rehearsal-free Continual Relation Extraction. | Shen Zhou, Yongqi Li, Xin Miao, Tieyun Qian |
| 2024 | COLING | Prompting Large Language Models for Counterfactual Generation: An Empirical Study. | Yongqi Li, Mayi Xu, Xin Miao, Shen Zhou, Tieyun Qian |
| 2024 | EMNLP | Adaption-of-Thought: Learning Question Difficulty Improves Large Language Models for Reasoning. | Mayi Xu, Yongqi Li, Ke Sun, Tieyun Qian |
| 2024 | ICDE | Querying Cohesive Subgraph Regarding Span-Constrained Triangles on Temporal Graphs. | Chuhan Hu, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Ting Yu, Hongyang Chen, Mengchi Liu, Jeffrey Xu Yu |
| 2024 | NAACL | Depression Detection in Clinical Interviews with LLM-Empowered Structural Element Graph. | Zhuang Chen, Jiawen Deng, Jinfeng Zhou, Jincenzi Wu, Tieyun Qian, Minlie Huang |
| 2023 | ACL | On the Strength of Sequence Labeling and Generative Models for Aspect Sentiment Triplet Extraction. | Shen Zhou, Tieyun Qian |
| 2023 | EMNLP | Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition. | Yongqi Li, Yu Yu, Tieyun Qian |
| 2023 | EMNLP | Dynamic Open-book Prompt for Conversational Recommender System. | Xuan Ma, Tieyun Qian, Ke Sun |
| 2023 | EMNLP | Generating Commonsense Counterfactuals for Stable Relation Extraction. | Xin Miao, Yongqi Li, Tieyun Qian |
| 2023 | ICDE | Attribute Graph Neural Networks for Strict Cold Start Recommendation : Extended Abstract. | Tieyun Qian, Yile Liang, Qing Li, Hui Xiong |
| 2023 | IJCAI | Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing. | Ting Zhang, Zhuang Chen, Ming Zhong, Tieyun Qian |
| 2023 | WWW | Towards Model Robustness: Generating Contextual Counterfactuals for Entities in Relation Extraction. | Mi Zhang, Tieyun Qian, Ting Zhang, Xin Miao |
| 2022 | DASFAA | Enhancing Graph Convolution Network for Novel Recommendation. | Xuan Ma, Tieyun Qian, Yile Liang, Ke Sun, Hang Yun, Mi Zhang |
| 2022 | EMNLP | Graph-based Model Generation for Few-Shot Relation Extraction. | Wanli Li, Tieyun Qian |
| 2022 | WWW | Knowledge Distillation for Discourse Relation Analysis. | Congcong Jiang, Tieyun Qian, Bing Liu |
| 2021 | ACL | Bridge-Based Active Domain Adaptation for Aspect Term Extraction. | Zhuang Chen, Tieyun Qian |
| 2021 | IJCNN | Exploit a Multi-head Reference Graph for Semi-supervised Relation Extraction. | Wanli Li, Tieyun Qian, Xu Chen, Kejian Tang, Shaohui Zhan, Tao Zhan |
| 2021 | PRICAI | Generating Pseudo Connectives with MLMs for Implicit Discourse Relation Recognition. | Congcong Jiang, Tieyun Qian, Zhuang Chen, Kejian Tang, Shaohui Zhan, Tao Zhan |
| 2021 | SIGIR | Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation. | Yile Liang, Tieyun Qian, Qing Li, Hongzhi Yin |
| 2020 | AAAI | Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation. | Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2020 | ACL | Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis. | Zhuang Chen, Tieyun Qian |
| 2020 | DASFAA | Adversarial Generation of Target Review for Rating Prediction. | Huilin Yu, Tieyun Qian, Yile Liang, Bing Liu |
| 2020 | EMNLP | Enhancing Aspect Term Extraction with Soft Prototypes. | Zhuang Chen, Tieyun Qian |
| 2020 | EMNLP | Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect Level Sentiment Analysis. | Mi Zhang, Tieyun Qian |
| 2019 | ACL | Transfer Capsule Network for Aspect Level Sentiment Classification. | Zhuang Chen, Tieyun Qian |
| 2019 | CIKM | What Can History Tell Us? | Ke Sun, Tieyun Qian, Hongzhi Yin, Tong Chen, Yiqi Chen, Ling Chen |
| 2019 | DASFAA | Towards both Local and Global Query Result Diversification. | Ming Zhong, Huanyu Cheng, Ying Wang, Yuanyuan Zhu, Tieyun Qian, Jianxin Li |
| 2019 | DASFAA | Align Reviews with Topics in Attention Network for Rating Prediction. | Yile Liang, Tieyun Qian, Huilin Yu |
| 2019 | DASFAA | Generating Behavior Features for Cold-Start Spam Review Detection. | Xiaoya Tang, Tieyun Qian, Zhenni You |
| 2019 | DEXA | Keyword Search Based Mashup Construction with Guaranteed Diversity. | Huanyu Cheng, Ming Zhong, Jian Wang, Tieyun Qian |
| 2019 | ICONIP | Aspect-Level Sentiment Classification with Dependency Rules and Dual Attention. | Yunkai Yang, Tieyun Qian, Zhuang Chen |
| 2018 | CIKM | "Bridge": Enhanced Signed Directed Network Embedding. | Yiqi Chen, Tieyun Qian, Huan Liu, Ke Sun |
| 2018 | COLING | An Attribute Enhanced Domain Adaptive Model for Cold-Start Spam Review Detection. | Zhenni You, Tieyun Qian, Bing Liu |
| 2018 | COLING | Enhanced Aspect Level Sentiment Classification with Auxiliary Memory. | Peisong Zhu, Tieyun Qian |
| 2018 | DASFAA | Sample Location Selection for Efficient Distance-Aware Influence Maximization in Geo-Social Networks. | Ming Zhong, Qian Zeng, Yuanyuan Zhu, Jianxin Li, Tieyun Qian |
| 2018 | DASFAA | BASSI: Balance and Status Combined Signed Network Embedding. | Yiqi Chen, Tieyun Qian, Ming Zhong, Xuhui Li |
| 2018 | ICONIP | Exploiting User and Item Attributes for Sequential Recommendation. | Ke Sun, Tieyun Qian |
| 2018 | ICONIP | Learning a Joint Representation for Classification of Networked Documents. | Zhenni You, Tieyun Qian |
| 2017 | APWEB | Diversified Top-k Keyword Query Interpretation on Knowledge Graphs. | Ying Wang, Ming Zhong, Yuanyuan Zhu, Xuhui Li, Tieyun Qian |
| 2017 | DEXA | Exploit Label Embeddings for Enhancing Network Classification. | Yiqi Chen, Tieyun Qian, Ming Zhong, Xuhui Li |
| 2017 | ICONIP | SLICE: Structural and Label Information Combined Embedding for Networks. | Yiqi Chen, Tieyun Qian |
| 2016 | APWEB | Fast Rare Category Detection Using Nearest Centroid Neighborhood. | Song Wang, Hao Huang, Yunjun Gao, Tieyun Qian, Liang Hong, Zhiyong Peng |
| 2016 | APWEB | Modeling for Noisy Labels of Crowd Workers. | Qian Yan, Hao Huang, Yunjun Gao, Chen Ying, Qingyang Hu, Tieyun Qian, Qinming He |
| 2016 | DEXA | Inferring Lurkers' Gender by Their Interest Tags. | Peisong Zhu, Tieyun Qian, Zhenni You, Xuhui Li |
| 2016 | ICONIP | Inferring Users' Gender from Interests: A Tag Embedding Approach. | Peisong Zhu, Tieyun Qian, Ming Zhong, Xuhui Li |
| 2016 | ICTAI | Learning User Embedding Representation for Gender Prediction. | Li Chen, Tieyun Qian, Peisong Zhu, Zhenni You |
| 2016 | WISE | Identifying Implicit Enterprise Users from the Imbalanced Social Data. | Zhenni You, Tieyun Qian, Baochao Zhang, Shi Ying |
| 2015 | ICTAI | Active Learning for Multivariate Time Series Classification with Positive Unlabeled Data. | Guoliang He, Yong Duan, Yifei Li, Tieyun Qian, Jinrong He, Xiangyang Jia |
| 2014 | ACL | Tri-Training for Authorship Attribution with Limited Training Data. | Tieyun Qian, Bing Liu, Li Chen, Zhiyong Peng |
| 2014 | SIGIR | Co-training on authorship attribution with very fewlabeled examples: methods vs. views. | Tieyun Qian, Bing Liu, Ming Zhong, Guoliang He |
| 2013 | ADMA | Detecting Professional Spam Reviewers. | Junlong Huang, Tieyun Qian, Guoliang He, Ming Zhong, Qingxi Peng |
| 2013 | ADMA | A Local Greedy Search Method for Detecting Community Structure in Weighted Social Networks. | Bin Liu, Tieyun Qian |
| 2013 | CIKM | Early prediction on imbalanced multivariate time series. | Guoliang He, Yong Duan, Tieyun Qian, Xu Chen |
| 2013 | DASFAA | MVP Index: Towards Efficient Known-Item Search on Large Graphs. | Ming Zhong, Mengchi Liu, Zhifeng Bao, Xuhui Li, Tieyun Qian |
| 2013 | EMNLP | Identifying Multiple Userids of the Same Author. | Tieyun Qian, Bing Liu |
| 2012 | APWEB | Leveraging Network Structure for Incremental Document Clustering. | Tieyun Qian, Jianfeng Si, Qing Li, Qian Yu |
| 2011 | WWW | A framework for evaluating network measures for functional importance. | Tieyun Qian, Qing Li, Jaideep Srivastava |
| 2010 | WISE | Refining Graph Partitioning for Social Network Clustering. | Tieyun Qian, Yang Yang, Shuo Wang |
| 2009 | CIKM | What's behind topic formation and development: a perspective of community core groups. | Tieyun Qian, Qing Li, Bing Liu, Hui Xiong, Jaideep Srivastava, Phillip C.-Y. Sheu |
| 2009 | PAKDD | Simultaneously Finding Fundamental Articles and New Topics Using a Community Tracking Method. | Tieyun Qian, Jaideep Srivastava, Zhiyong Peng, Phillip C.-Y. Sheu |
| 2008 | ICTAI | A Scientific Theme Emergence Detection Approach Based on Citation Graph Analysis. | Tieyun Qian, Phillip C.-Y. Sheu, Shijun Li, Lina Wang |
| 2006 | CIKM | Adapting association patterns for text categorization: weaknesses and enhancements. | Tieyun Qian, Hui Xiong, Yuanzhen Wang, Enhong Chen |
| 2006 | ICTAI | An Evolutionary Computational Method for N-Connection Subgraph Discovery. | Enhong Chen, Xujia Chen, Phillip C.-Y. Sheu, Tieyun Qian |
| 2005 | DaWaK | 2-PS Based Associative Text Classification. | Tieyun Qian, Yuanzhen Wang, Hao Long, Jianlin Feng |