| 2026 | AAAI | OR-R1: Automating Modeling and Solving of Operations Research Optimization Problem via Test-Time Reinforcement Learning. | Zezhen Ding, Zhen Tan, Jiheng Zhang, Tianlong Chen |
| 2026 | AAAI | Model Editing as a Double-Edged Sword: Steering Agent Behavior Toward Beneficence or Harm. | Baixiang Huang, Zhen Tan, Haoran Wang, Zijie Liu, Dawei Li, Ali Payani, Huan Liu, Tianlong Chen, Kai Shu |
| 2026 | AAAI | Iterative Multi-Granular RAG with Contextual Hierarchical Graph. | Yanli Hu, Teng Liu, Zhuangyi Zhou, Weixin Zeng, Zhen Tan, Xiang Zhao |
| 2026 | AAAI | Multi-granularity Temporal Knowledge Editing over Large Language Models. | Simiao Zhao, Ning Pang, Zhen Tan, Yanli Hu, Weidong Xiao, Xiang Zhao |
| 2026 | ACL | The Adaptive Interrogator: Detecting Trojan LLMs in Multi-Agent Systems via Evolved Conversational Strategies. | Rana Muhammad Shahroz Khan, Ruichen Zhang, Zhen Tan, Charles Fleming, Tianlong Chen |
| 2026 | ACL | ToolPRMBench: Evaluating and Advancing Process Reward Models for Tool-using Agents. | Dawei Li, Yuguang Yao, Zhen Tan, Huan Liu, Ruocheng Guo |
| 2026 | ACL | Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution Reconstruction. | Xu Shen, Qi Zhang, Song Wang, Zhen Tan, Xinyu Zhao, Laura Yao, Vaishnav Tadiparthi, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Kwonjoon Lee, Tianlong Chen |
| 2026 | ACL | Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens. | Chengshuai Zhao, Zhen Tan, Pingchuan Ma, Dawei Li, Bohan Jiang, Yancheng Wang, Yingzhen Yang, Huan Liu |
| 2026 | WSDM | Explaining the 'Unexplainable' Large Language Models. | Zhen Tan, Song Wang, Tianlong Chen, Jing Ma, Jundong Li, Huan Liu |
| 2025 | AAAI | Tuning-Free Accountable Intervention for LLM Deployment - a Metacognitive Approach. | Zhen Tan, Jie Peng, Song Wang, Lijie Hu, Tianlong Chen, Huan Liu |
| 2025 | AAAI | Cross-modal Multi-task Learning for Multimedia Event Extraction. | Jianwei Cao, Yanli Hu, Zhen Tan, Xiang Zhao |
| 2025 | AAAI | Logic Induced High-Order Reasoning Network for Event-Event Relation Extraction. | Peixin Huang, Xiang Zhao, Minghao Hu, Zhen Tan, Weidong Xiao |
| 2025 | AAAI | BrainMAP: Learning Multiple Activation Pathways in Brain Networks. | Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li |
| 2025 | ACL | In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents. | Zhen Tan, Jun Yan, I-Hung Hsu, Rujun Han, Zifeng Wang, Long T. Le, Yiwen Song, Yanfei Chen, Hamid Palangi, George Lee, Anand Rajan Iyer, Tianlong Chen, Huan Liu, Chen-Yu Lee, Tomas Pfister |
| 2025 | ACL | Agents Under Siege: Breaking Pragmatic Multi-Agent LLM Systems with Optimized Prompt Attacks. | Rana Muhammad Shahroz, Zhen Tan, Sukwon Yun, Charles Fleming, Tianlong Chen |
| 2025 | ACL | SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention. | Chengshuai Zhao, Zhen Tan, Chau-Wai Wong, Xinyan Zhao, Tianlong Chen, Huan Liu |
| 2025 | CIKM | Building Safer Sites: A Large-Scale Multi-Level Dataset for Construction Safety Benchmark. | Zhenhui Ou, Dawei Li, Zhen Tan, Wenlin Li, Huan Liu, Siyuan Song |
| 2025 | CIKM | Community Partition-based Source Localization with Adaptive Observers Deployment. | Jinchen Shi, Yang Fang, Zhen Tan, Xin Zhang, Xiang Zhao |
| 2025 | CIKM | GraphRCG: Self-Conditioned Graph Generation. | Song Wang, Zhen Tan, Xinyu Zhao, Tianlong Chen, Huan Liu, Jundong Li |
| 2025 | COLING | Semantic and Sentiment Dual-Enhanced Generative Model for Script Event Prediction. | Feiyang Wu, Peixin Huang, Yanli Hu, Zhen Tan, Xiang Zhao |
| 2025 | COLING | Dynamic-prototype Contrastive Fine-tuning for Continual Few-shot Relation Extraction with Unseen Relation Detection. | Simiao Zhao, Zhen Tan, Ning Pang, Weidong Xiao, Xiang Zhao |
| 2025 | CVPR | Window Token Concatenation for Efficient Visual Large Language Models. | Yifan Li, Wentao Bao, Botao Ye, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong |
| 2025 | EMNLP | EQA-RM: A Generative Embodied Reward Model with Test-time Scaling. | Yuhang Chen, Zhen Tan, Tianlong Chen |
| 2025 | EMNLP | Bit-Flip Error Resilience in LLMs: A Comprehensive Analysis and Defense Framework. | Yuhang Chen, Zhen Tan, Ajay Kumar Jaiswal, Huaizhi Qu, Xinyu Zhao, Qi Lin, Yu Cheng, Andrew Kwong, Zhichao Cao, Tianlong Chen |
| 2025 | EMNLP | Learning from Diverse Reasoning Paths with Routing and Collaboration. | Zhenyu Lei, Zhen Tan, Song Wang, Yaochen Zhu, Zihan Chen, Yushun Dong, Jundong Li |
| 2025 | EMNLP | From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge. | Dawei Li, Bohan Jiang, Liangjie Huang, Alimohammad Beigi, Chengshuai Zhao, Zhen Tan, Amrita Bhattacharjee, Yuxuan Jiang, Canyu Chen, Tianhao Wu, Kai Shu, Lu Cheng, Huan Liu |
| 2025 | EMNLP | Task-Aware Resolution Optimization for Visual Large Language Models. | Weiqing Luo, Zhen Tan, Yifan Li, Xinyu Zhao, Kwonjoon Lee, Behzad Dariush, Tianlong Chen |
| 2025 | EMNLP | Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation. | Song Wang, Zihan Chen, Peng Wang, Zhepei Wei, Zhen Tan, Yu Meng, Cong Shen, Jundong Li |
| 2025 | EMNLP | AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction. | Song Wang, Zhen Tan, Zihan Chen, Shuang Zhou, Tianlong Chen, Jundong Li |
| 2025 | ICDE | IKGA: An Interactive Visualization Tool for Knowledge Graph Alignment. | Weixin Zeng, Shiqi Zhang, Huang Peng, Zhen Tan, Weidong Xiao, Xiang Zhao |
| 2025 | ICLR | CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models. | Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li |
| 2025 | ICML | MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning. | Zihan Chen, Song Wang, Zhen Tan, Jundong Li, Cong Shen |
| 2025 | ICML | Editable Concept Bottleneck Models. | Lijie Hu, Chenyang Ren, Zhengyu Hu, Hongbin Lin, Cheng-Long Wang, Zhen Tan, Weimin Lyu, Jingfeng Zhang, Hui Xiong, Di Wang |
| 2025 | IJCAI | Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract). | Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu |
| 2025 | ICRA | HGSLoc: 3DGS-Based Heuristic Camera Pose Refinement. | Zhongyan Niu, Zhen Tan, Jinpu Zhang, Xueliang Yang, Dewen Hu |
| 2025 | IROS | Tracking Any Point with Frame-Event Fusion Network at High Frame Rate. | Jiaxiong Liu, Bo Wang, Zhen Tan, Jinpu Zhang, Hui Shen, Dewen Hu |
| 2025 | KDD | Untitled record | Lichi Li, Zain ul Abi Din, Zhen Tan, Sam London, Tianlong Chen, Ajay H. Daptardar |
| 2025 | PAKDD | SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents. | Dawei Li, Zhen Tan, Peijia Qian, Yifan Li, Kumar Satvik Chaudhary, Lijie Hu, Jiayi Shen |
| 2024 | AAAI | Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention. | Zhen Tan, Tianlong Chen, Zhenyu Zhang, Huan Liu |
| 2024 | CIKM | M3: A Multi-Image Multi-Modal Entity Alignment Dataset. | Shiqi Zhang, Weixin Zeng, Zhen Tan, Xiang Zhao, Weidong Xiao |
| 2024 | COLING | Distill, Fuse, Pre-train: Towards Effective Event Causality Identification with Commonsense-Aware Pre-trained Model. | Peixin Huang, Xiang Zhao, Minghao Hu, Zhen Tan, Weidong Xiao |
| 2024 | DSAA | Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning. | Alimohammad Beigi, Zhen Tan, Nivedh Mudiam, Canyu Chen, Kai Shu, Huan Liu |
| 2024 | DSAA | Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media. | Bohan Jiang, Lu Cheng, Zhen Tan, Ruocheng Guo, Huan Liu |
| 2024 | EACL | Contextualization Distillation from Large Language Model for Knowledge Graph Completion. | Dawei Li, Zhen Tan, Tianlong Chen, Huan Liu |
| 2024 | ECCV | Facial Affective Behavior Analysis with Instruction Tuning. | Yifan Li, Anh Dao, Wentao Bao, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong |
| 2024 | EMNLP | DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. | Dawei Li, Shu Yang, Zhen Tan, Jae Young Baik, Sukwon Yun, Joseph Lee, Aaron Chacko, Bojian Hou, Duy Duong-Tran, Ying Ding, Huan Liu, Li Shen, Tianlong Chen |
| 2024 | EMNLP | Large Language Models for Data Annotation and Synthesis: A Survey. | Zhen Tan, Dawei Li, Song Wang, Alimohammad Beigi, Bohan Jiang, Amrita Bhattacharjee, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu |
| 2024 | EMNLP | Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models. | Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, Huan Liu |
| 2024 | ICDE | Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study [Extended Abstract]. | Weixin Zeng, Xiang Zhao, Zhen Tan, Jiuyang Tang, Xueqi Cheng |
| 2024 | IROS | TD-NeRF: Novel Truncated Depth Prior for Joint Camera Pose and Neural Radiance Field Optimization. | Zhen Tan, Zongtan Zhou, Yangbing Ge, Zi Wang, Xieyuanli Chen, Dewen Hu |
| 2024 | Mobiquitous | Exploiting NLOS Links for Energy-Efficient Opportunistic Routing in IoV. | Yiming Zhou, Xing Tang, Pengyu Shi, Jing Wang, Chunlin Li, Lincheng Jiang, Zhen Tan, Fengcai Qiao |
| 2024 | PAKDD | Interpreting Pretrained Language Models via Concept Bottlenecks. | Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu |
| 2024 | WWW | Thought Graph: Generating Thought Process for Biological Reasoning. | Chi-Yang Hsu, Kyle Cox, Jiawei Xu, Zhen Tan, Tianhua Zhai, Mengzhou Hu, Dexter Pratt, Tianlong Chen, Ziniu Hu, Ying Ding |
| 2024 | SDM | Disinformation Detection: An Evolving Challenge in the Age of LLMs. | Bohan Jiang, Zhen Tan, Ayushi Nirmal, Huan Liu |
| 2024 | SDM | Label Distribution Learning-Enhanced Dual-KNN for Text Classification. | Bo Yuan, Yulin Chen, Zhen Tan, Jinyan Wang, Huan Liu, Yin Zhang |
| 2023 | APWEB | Continual Few-Shot Relation Extraction with Prompt-Based Contrastive Learning. | Fei Wu, Chong Zhang, Zhen Tan, Hao Xu, Bin Ge |
| 2023 | CIKM | MGICL: Multi-Grained Interaction Contrastive Learning for Multimodal Named Entity Recognition. | Aibo Guo, Xiang Zhao, Zhen Tan, Weidong Xiao |
| 2023 | EMNLP | Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance. | Song Wang, Zhen Tan, Ruocheng Guo, Jundong Li |
| 2023 | KDD | Virtual Node Tuning for Few-shot Node Classification. | Zhen Tan, Ruocheng Guo, Kaize Ding, Huan Liu |
| 2023 | KDD | Contrastive Meta-Learning for Few-shot Node Classification. | Song Wang, Zhen Tan, Huan Liu, Jundong Li |
| 2023 | WWW | Graph Self-supervised Learning with Augmentation-aware Contrastive Learning. | Dong Chen, Xiang Zhao, Wei Wang, Zhen Tan, Weidong Xiao |
| 2022 | APWEB | Iterative Deep Graph Learning with Local Feature Augmentation for Network Alignment. | Jiuyang Tang, Zhen Tan, Hao Guo, Xuqian Huang, Weixin Zeng, Huang Peng |
| 2022 | CIKM | SpCQL: A Semantic Parsing Dataset for Converting Natural Language into Cypher. | Aibo Guo, Xinyi Li, Guanchen Xiao, Zhen Tan, Xiang Zhao |
| 2022 | WSDM | Graph Few-shot Class-incremental Learning. | Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu |
| 2021 | CoNLL | Relation-aware Bidirectional Path Reasoning for Commonsense Question Answering. | Junxing Wang, Xinyi Li, Zhen Tan, Xiang Zhao, Weidong Xiao |
| 2020 | APWEB | Paperant: Key Elements Generation with New Ideas. | Xin He, Jiuyang Tang, Zhen Tan, Zheng Yu, Xiang Zhao |
| 2020 | COLING | Joint Event Extraction with Hierarchical Policy Network. | Peixin Huang, Xiang Zhao, Ryuichi Takanobu, Zhen Tan, Weidong Xiao |
| 2020 | KSEM | Measuring Triplet Trustworthiness in Knowledge Graphs via Expanded Relation Detection. | Aibo Guo, Zhen Tan, Xiang Zhao |
| 2020 | KSEM | Fusion of Domain Knowledge and Text Features for Query Expansion in Citation Recommendation. | Yanli Hu, Chunhui He, Zhen Tan, Chong Zhang, Bin Ge |
| 2020 | LREC | CLEEK: A Chinese Long-text Corpus for Entity Linking. | Weixin Zeng, Xiang Zhao, Jiuyang Tang, Zhen Tan, Xuqian Huang |
| 2020 | SIGIR | Degree-Aware Alignment for Entities in Tail. | Weixin Zeng, Xiang Zhao, Wei Wang, Jiuyang Tang, Zhen Tan |
| 2019 | AAAI | Jointly Extracting Multiple Triplets with Multilayer Translation Constraints. | Zhen Tan, Xiang Zhao, Wei Wang, Weidong Xiao |
| 2018 | Mobisys | Detecting Wireless Spy Cameras Via Stimulating and Probing. | Tian Liu, Ziyu Liu, Jun Huang, Rui Tan, Zhen Tan |
| 2017 | CIKM | Representation Learning of Large-Scale Knowledge Graphs via Entity Feature Combinations. | Zhen Tan, Xiang Zhao, Wei Wang |
| 2016 | ICDM | Knowledge Representation Learning via Dynamic Relation Spaces. | Zhen Tan, Xiang Zhao, Yang Fang, Weidong Xiao, Jiuyang Tang |
| 2016 | WSC | Bayesian ranking and selection model for the Second-best Network Pricing Problem. | Zhen Tan, Huaizhu Oliver Gao |
| 2011 | IGARSS | SAR imaging based on Compressed Sensing. | Yifeng Huan, Junfeng Wang, Zhen Tan, Xingzhao Liu, Wenxian Yu |