Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification. - Zhen Tan 001; Song Wang 013; Kaize Ding; Jundong Li; Huan Liu 001 (LoG, 2022)

Supervised Graph Contrastive Learning for Few-Shot Node Classification. - Zhen Tan 001; Kaize Ding; Ruocheng Guo; Huan Liu 001 (ECML/PKDD (2), 2022)

Graph Few-shot Class-incremental Learning. - Zhen Tan 001; Kaize Ding; Ruocheng Guo; Huan Liu 001 (WSDM, 2022)

A Simple Yet Effective Pretraining Strategy for Graph Few-shot Learning. - Zhen Tan 001; Kaize Ding; Ruocheng Guo; Huan Liu 001 (CoRR, 2022)

Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance. - Song Wang 013; Zhen Tan 001; Ruocheng Guo; Jundong Li (EMNLP (Findings), 2023)

Virtual Node Tuning for Few-shot Node Classification. - Zhen Tan 001; Ruocheng Guo; Kaize Ding; Huan Liu 001 (KDD, 2023)

Contrastive Meta-Learning for Few-shot Node Classification. - Song Wang 013; Zhen Tan 001; Huan Liu 001; Jundong Li (KDD, 2023)

Inductive Linear Probing for Few-Shot Node Classification. - Hirthik Mathavan; Zhen Tan 001; Nivedh Mudiam; Huan Liu 001 (SBP-BRiMS, 2023)

Interpreting Pretrained Language Models via Concept Bottlenecks. - Zhen Tan 001; Lu Cheng 001; Song Wang 013; Yuan Bo; Jundong Li; Huan Liu 001 (CoRR, 2023)

Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention. - Zhen Tan 001; Tianlong Chen 001; Zhenyu Zhang 015; Huan Liu 001 (AAAI, 2024)

Catching Chameleons: Detecting Evolving Disinformation Generated using Large Language Models. - Bohan Jiang; Chengshuai Zhao; Zhen Tan 001; Huan Liu 001 (CogMI, 2024)

Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning. - Alimohammad Beigi; Zhen Tan 001; Nivedh Mudiam; Canyu Chen; Kai Shu; Huan Liu 001 (DSAA, 2024)

Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media. - Bohan Jiang; Lu Cheng 001; Zhen Tan 001; Ruocheng Guo; Huan Liu 001 (DSAA, 2024)

Contextualization Distillation from Large Language Model for Knowledge Graph Completion. - Dawei Li 008; Zhen Tan 001; Tianlong Chen 001; Huan Liu 001 (EACL (Findings), 2024)

Facial Affective Behavior Analysis with Instruction Tuning. - Yifan Li; Anh Dao; Wentao Bao; Zhen Tan 001; Tianlong Chen 001; Huan Liu 001; Yu Kong 001 (ECCV (18), 2024)

DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. - Dawei Li 008; Shu Yang 009; Zhen Tan 001; Jae Young Baik; Sukwon Yun; Joseph Lee; Aaron Chacko; Bojian Hou; Duy Duong-Tran; Ying Ding 001; Huan Liu 001; Li Shen 001; et al. (EMNLP (Findings), 2024)

Large Language Models for Data Annotation and Synthesis: A Survey. - Zhen Tan 001; Dawei Li 008; Song Wang 013; Alimohammad Beigi; Bohan Jiang; Amrita Bhattacharjee; Mansooreh Karami; Jundong Li; Lu Cheng 001; Huan Liu 001 (EMNLP, 2024)

Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models. - Zhen Tan 001; Chengshuai Zhao; Raha Moraffah; Yifan Li; Song Wang 013; Jundong Li; Tianlong Chen 001; Huan Liu 001 (EMNLP, 2024)

Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering. - Awais Naeem; Tianhao Li; Huang-Ru Liao; Jiawei Xu 006; Aby M. Mathew; Zehao Zhu; Zhen Tan 001; Ajay Kumar Jaiswal; Raffi A. Salibian; Ziniu Hu; Tianlong Chen 001; Ying Ding 001 (ML4H@NeurIPS, 2024)

Interpreting Pretrained Language Models via Concept Bottlenecks. - Zhen Tan 001; Lu Cheng 001; Song Wang 013; Bo Yuan 017; Jundong Li; Huan Liu 001 (PAKDD (3), 2024)

Disinformation Detection: An Evolving Challenge in the Age of LLMs. - Bohan Jiang; Zhen Tan 001; Ayushi Nirmal; Huan Liu 001 (SDM, 2024)

Label Distribution Learning-Enhanced Dual-KNN for Text Classification. - Bo Yuan 017; Yulin Chen; Zhen Tan 001; Jinyan Wang; Huan Liu 001; Yin Zhang (SDM, 2024)

Thought Graph: Generating Thought Process for Biological Reasoning. - Chi-Yang Hsu; Kyle Cox; Jiawei Xu 006; Zhen Tan 001; Tianhua Zhai; Mengzhou Hu; Dexter Pratt; Tianlong Chen 001; Ziniu Hu; Ying Ding 001 (WWW (Companion Volume), 2024)

Large Language Models for Data Annotation: A Survey. - Zhen Tan 001; Alimohammad Beigi; Song Wang 013; Ruocheng Guo; Amrita Bhattacharjee; Bohan Jiang; Mansooreh Karami; Jundong Li; Lu Cheng 001; Huan Liu 001 (CoRR, 2024)

MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems. - Lichi Li; Zainul Abi Din; Zhen Tan 001; Sam London; Tianlong Chen 001; Ajay H. Daptardar (CoRR, 2024)

The Wolf Within: Covert Injection of Malice into MLLM Societies via an MLLM Operative. - Zhen Tan 001; Chengshuai Zhao; Raha Moraffah; Yifan Li; Yu Kong 001; Tianlong Chen 001; Huan Liu 001 (CoRR, 2024)

GraphRCG: Self-conditioned Graph Generation via Bootstrapped Representations. - Song Wang 013; Zhen Tan 001; Xinyu Zhao; Tianlong Chen 001; Huan Liu 001; Jundong Li (CoRR, 2024)

Tuning-Free Accountable Intervention for LLM Deployment - A Metacognitive Approach. - Zhen Tan 001; Jie Peng 002; Tianlong Chen 001; Huan Liu 001 (CoRR, 2024)

DLO: Dynamic Layer Operation for Efficient Vertical Scaling of LLMs. - Zhen Tan 001; Daize Dong; Xinyu Zhao; Jie Peng 002; Yu Cheng 001; Tianlong Chen 001 (CoRR, 2024)

BlueTempNet: A Temporal Multi-network Dataset of Social Interactions in Bluesky Social. - Ujun Jeong; Bohan Jiang; Zhen Tan 001; H. Russell Bernard; Huan Liu 001 (CoRR, 2024)

Model Attribution in Machine-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning. - Alimohammad Beigi; Zhen Tan 001; Nivedh Mudiam; Canyu Chen; Kai Shu; Huan Liu 001 (CoRR, 2024)

Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models. - Joseph Lee; Shu Yang 009; Jae Young Baik; Xiaoxi Liu; Zhen Tan 001; Dawei Li 008; Zixuan Wen; Bojian Hou; Duy Duong-Tran; Tianlong Chen 001; Li Shen 001 (CoRR, 2024)

LRQ-Fact: LLM-Generated Relevant Questions for Multimodal Fact-Checking. - Alimohammad Beigi; Bohan Jiang; Dawei Li 008; Tharindu Kumarage; Zhen Tan 001; Pouya Shaeri; Huan Liu 001 (CoRR, 2024)

FairSkin: Fair Diffusion for Skin Disease Image Generation. - Ruichen Zhang; Yuguang Yao; Zhen Tan 001; Zhiming Li; Pan Wang 013; Huan Liu 001; Jingtong Hu; Sijia Liu 001; Tianlong Chen 001 (CoRR, 2024)

From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge. - Dawei Li 008; Bohan Jiang; Liangjie Huang; Alimohammad Beigi; Chengshuai Zhao; Zhen Tan 001; Amrita Bhattacharjee; Yuxuan Jiang; Canyu Chen; Tianhao Wu; Kai Shu; Lu Cheng 001; et al. (CoRR, 2024)

Assessing the Impact of Conspiracy Theories Using Large Language Models. - Bohan Jiang; Dawei Li 008; Zhen Tan 001; Xinyi Zhou 001; Ashwin Rao; Kristina Lerman; H. Russell Bernard; Huan Liu 001 (CoRR, 2024)

Ontology-Aware RAG for Improved Question-Answering in Cybersecurity Education. - Chengshuai Zhao; Garima Agrawal; Tharindu Kumarage; Zhen Tan 001; Yuli Deng; Ying-Chih Chen; Huan Liu 001 (CoRR, 2024)

BlueTempNet: A Temporal Multi-network Dataset of Social Interactions in Bluesky Social. - Ujun Jeong; Bohan Jiang; Zhen Tan 001; H. Russell Bernard; Huan Liu 001 (IEEE DataPort, 2024)

Exploring Large Language Models for Feature Selection: A Data-centric Perspective. - Dawei Li 008; Zhen Tan 001; Huan Liu 001 (SIGKDD Explor., 2024)

Tuning-Free Accountable Intervention for LLM Deployment - a Metacognitive Approach. - Zhen Tan 001; Jie Peng 002; Song Wang 013; Lijie Hu; Tianlong Chen 001; Huan Liu 001 (AAAI, 2025)

BrainMAP: Learning Multiple Activation Pathways in Brain Networks. - Song Wang 013; Zhenyu Lei 004; Zhen Tan 001; Jiaqi Ding; Xinyu Zhao; Yushun Dong; Guorong Wu 001; Tianlong Chen 001; Chen Chen 022; Aiying Zhang; Jundong Li (AAAI, 2025)

In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents. - Zhen Tan 001; Jun Yan; I-Hung Hsu; Rujun Han; Zifeng Wang 002; Long T. Le; Yiwen Song; Yanfei Chen; Hamid Palangi; George Lee; Anand Rajan Iyer; Tianlong Chen 001; et al. (ACL (1), 2025)

Agents Under Siege: Breaking Pragmatic Multi-Agent LLM Systems with Optimized Prompt Attacks. - Rana Muhammad Shahroz; Zhen Tan 001; Sukwon Yun; Charles Fleming; Tianlong Chen 001 (ACL (1), 2025)

SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention. - Chengshuai Zhao; Zhen Tan 001; Chau-Wai Wong; Xinyan Zhao; Tianlong Chen 001; Huan Liu 001 (ACL (1), 2025)

Window Token Concatenation for Efficient Visual Large Language Models. - Yifan Li; Wentao Bao; Botao Ye; Zhen Tan 001; Tianlong Chen 001; Huan Liu 001; Yu Kong 001 (CVPR Workshops, 2025)

Thought Graph: Balancing Specificity and Uncertainty in LLM-Based Gene Set Annotation. - Kyle Cox; Gang Qu; Chi-Yang Hsu; Jiawei Xu 006; Yingtong Zhou; Zhen Tan 001; Mengzhou Hu; Tianlong Chen 001; Ziniu Hu; Zhongming Zhao; Ying Ding 001 (ICHI, 2025)

CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models. - Song Wang 013; Peng Wang 105; Tong Zhou; Yushun Dong; Zhen Tan 001; Jundong Li (ICLR, 2025)

MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems. - Lichi Li; Zainul Abi Din; Zhen Tan 001; Sam London; Tianlong Chen 001; Ajay H. Daptardar (KDD (1), 2025)

SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents. - Dawei Li 008; Zhen Tan 001; Peijia Qian; Yifan Li; Kumar Satvik Chaudhary; Lijie Hu; Jiayi Shen (PAKDD (3), 2025)

A natural language processing-based approach for early detection of heart failure onset using electronic health records. - Yuxi Liu; Zhen Tan 001; Zhenhao Zhang; Song Wang 013; Jingchuan Guo; Huan Liu 001; Tianlong Chen 001; Jiang Bian 001 (Knowl. Based Syst., 2025)

Generative Risk Minimization for Out-of-Distribution Generalization on Graphs. - Song Wang 013; Zhen Tan 001; Yaochen Zhu; Chuxu Zhang; Jundong Li (Trans. Mach. Learn. Res., 2025)

Visual Large Language Models for Generalized and Specialized Applications. - Yifan Li; Zhixin Lai; Wentao Bao; Zhen Tan 001; Anh Dao; Kewei Sui; Jiayi Shen; Dong Liu; Huan Liu 001; Yu Kong 001 (CoRR, 2025)

CAND: Cross-Domain Ambiguity Inference for Early Detecting Nuanced Illness Deterioration. - Lo Pang-Yun Ting; Zhen Tan 001; Hong-Pei Chen; Cheng-Te Li; Po-Lin Chen; Kun-Ta Chuang; Huan Liu 001 (CoRR, 2025)

Symbiotic Cooperation for Web Agents: Harnessing Complementary Strengths of Large and Small LLMs. - Ruichen Zhang; Mufan Qiu; Zhen Tan 001; Mohan Zhang; Vincent Lu; Jie Peng 002; Kaidi Xu; Leandro Z. Agudelo; Peter Qian; Tianlong Chen 001 (CoRR, 2025)

Agents Under Siege: Breaking Pragmatic Multi-Agent LLM Systems with Optimized Prompt Attacks. - Rana Muhammad Shahroz Khan; Zhen Tan 001; Sukwon Yun; Charles Fleming; Tianlong Chen 001 (CoRR, 2025)

LightDefense: A Lightweight Uncertainty-Driven Defense against Jailbreaks via Shifted Token Distribution. - Zhuoran Yang; Jie Peng 002; Zhen Tan 001; Tianlong Chen 001; Yanyong Zhang (CoRR, 2025)

A Survey of Scaling in Large Language Model Reasoning. - Zihan Chen 002; Song Wang 013; Zhen Tan 001; Xingbo Fu; Zhen Lei 001; Peng Wang 105; Huan Liu 001; Cong Shen 001; Jundong Li (CoRR, 2025)

Are We Merely Justifying Results ex Post Facto? Quantifying Explanatory Inversion in Post-Hoc Model Explanations. - Zhen Tan 001; Song Wang 013; Yifan Li; Yu Kong 001; Jundong Li; Tianlong Chen 001; Huan Liu 001 (CoRR, 2025)

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer. - Huaizhi Qu; Inyoung Choi; Zhen Tan 001; Song Wang 013; Sukwon Yun; Qi Long; Faizan Siddiqui 001; Kwonjoon Lee; Tian-Long Chen 001 (CoRR, 2025)

MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning. - Zihan Chen 002; Song Wang 013; Zhen Tan 001; Jundong Li; Cong Shen 001 (CoRR, 2025)

The Quest for Efficient Reasoning: A Data-Centric Benchmark to CoT Distillation. - Ruichen Zhang; Rana Muhammad Shahroz Khan; Zhen Tan 001; Dawei Li 008; Song Wang 013; Tianlong Chen 001 (CoRR, 2025)

DOGe: Defensive Output Generation for LLM Protection Against Knowledge Distillation. - Pingzhi Li; Zhen Tan 001; Huaizhi Qu; Huan Liu 001; Tianlong Chen 001 (CoRR, 2025)

IndustryEQA: Pushing the Frontiers of Embodied Question Answering in Industrial Scenarios. - Yifan Li; Yuhang Chen; Anh Dao; Lichi Li; Zhongyi Cai; Zhen Tan 001; Tianlong Chen 001; Yu Kong 001 (CoRR, 2025)

EQA-RM: A Generative Embodied Reward Model with Test-time Scaling. - Yuhang Chen; Zhen Tan 001; Tianlong Chen 001 (CoRR, 2025)

AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction. - Song Wang 013; Zhen Tan 001; Zihan Chen 002; Shuang Zhou 012; Tianlong Chen 001; Jundong Li (CoRR, 2025)

Model Editing as a Double-Edged Sword: Steering Agent Ethical Behavior Toward Beneficence or Harm. - Baixiang Huang; Zhen Tan 001; Haoran Wang 005; Zijie Liu; Dawei Li 008; Ali Payani; Huan Liu 001; Tianlong Chen 001; Kai Shu (CoRR, 2025)

Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens. - Chengshuai Zhao; Zhen Tan 001; Pingchuan Ma 012; Dawei Li 008; Bohan Jiang; Yancheng Wang; Yingzhen Yang; Huan Liu 001 (CoRR, 2025)

Are Today's LLMs Ready to Explain Well-Being Concepts? - Bohan Jiang; Dawei Li 008; Zhen Tan 001; Chengshuai Zhao; Huan Liu 001 (CoRR, 2025)

Transferring Expert Cognitive Models to Social Robots via Agentic Concept Bottleneck Models. - Xinyu Zhao; Zhen Tan 001; Maya Enisman; Minjae Seo; Marta R. Durantini; Dolores Albarracin; Tianlong Chen 001 (CoRR, 2025)