Preprints

• DLO: Dynamic Layer Operation for Efficient Vertical Scaling of LLMs
  Zhen Tan, Daize Dong, Xinyu Zhao, Jie Peng, Yu Cheng, Tianlong Chen.

• Tuning-Free Accountable Intervention for LLM Deployment–A Metacognitive Approach
  Zhen Tan, Jie Peng, Tianlong Chen, Huan Liu.

Conference/Journal Papers (* indicates equal contributions)

2025

• MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems
  Lichi Li*, Zainul Abi Din*, Zhen Tan*, Sam London, Tianlong Chen, Ajay Daptardar.
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025)

2024

• Large language models for data annotation: A survey
  Zhen Tan*, Dawei Li*, Song Wang*, Alimohammad Beigi, Bohan Jiang, Amrita Bhattacharjee, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu.
  Conference on Empirical Methods in Natural Language Processing (EMNLP Main 2024), Oral.

• 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.
  Conference on Empirical Methods in Natural Language Processing (EMNLP Main 2024)

• Interpreting pretrained language models via concept bottlenecks
  Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu.
  Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2024), Best Paper Award.

• Sparsity-guided holistic explanation for llms with interpretable inference-time intervention
  Zhen Tan, Tianlong Chen, Zhenyu Zhang, Huan Liu.
  Annual AAAI Conference on Artificial Intelligence (AAAI 2024)

• The Wolf Within: Covert Injection of Malice into MLLM Societies via an MLLM Operative
  Zhen Tan*, Chengshuai Zhao*, Raha Moraffah, Yifan Li, Yu Kong, Tianlong Chen, Huan Liu.
  Responsible Generative AI Workshop @ The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPRW 2024)

• Exploring Large Language Models for Feature Selection: A Data-centric Perspective
  Dawei Li*, Zhen Tan*, Huan Liu.
  ACM SIGKDD Explorations Newsletter (KDD Explorations 2024)

• 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, Sunkwon Yun, Joseph Lee, Aaron Chacko, Bojian Hou, Duy Duong-Tran, Ying Ding, Huan Liu, Li Shen, Tianlong Chen.
  Conference on Empirical Methods in Natural Language Processing (EMNLP Finding 2024)

• Contextualization distillation from large language model for knowledge graph completion
  Dawei Li, Zhen Tan, Tianlong Chen, Huan Liu.
  Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024)

• Disinformation detection: An evolving challenge in the age of LLMs
  Bohan Jiang, Zhen Tan, Ayushi Nirmal, Huan Liu.
  SIAM International Conference on Data Mining (SDM 2024)

• BlueTempNet: A Temporal Multi-network Dataset of Social Interactions in Bluesky Social
  Ujun Jeong, Bohan Jiang, Zhen Tan, Russell Bernard, Huan Liu.
  IEEE Data Descriptions, 2024. Reported by the Science Magazine.

• Facial Affective Behavior Analysis with Instruction Tuning
  Yifan Li, Anh Dao, Bao Wentao, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong.
  European Conference on Computer Vision (ECCV 2024)

• Label Distribution Learning-Enhanced Dual-KNN for Text Classification
  Bo Yuan, Yulin Chen, Zhen Tan, Wang Jinyan, Huan Liu, Yin Zhang.
  SIAM International Conference on Data Mining (SDM 2024)

• Model Attribution in Machine-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning
  Alimohammad Beigi, Zhen Tan, Nivedh Mudiam, Canyu Chen, Kai Shu, Huan Liu.
  International Conference on Data Science and Advanced Analytics (DSAA 2024)

• 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.
  International Conference on Data Science and Advanced Analytics (DSAA 2024)

• 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.
  Companion Proceedings of the ACM on Web Conference 2024 (WebConf 2024)

• Catching Chameleons: Detecting Evolving Disinformation Generated using Large Language Models
  Bohan Jiang, Chengshuai Zhao, Zhen Tan, Huan Liu.
  IEEE International Conference on Cognitive Machine Intelligence (CogMI 2024), Best Student Paper Award.

• CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models
  Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li.
  Socially Responsible Language Modelling Research Workshop @ Conference on Neural Information Processing Systems (SoLaR@NeurIPS 2024)

2023

• Virtual Node Tuning for Few-shot Node Classification
  Zhen Tan, Guo Ruocheng, Kaize Ding, Liu Huan.
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023)

• Contrastive meta-learning for few-shot node classification
  Song Wang*, Zhen Tan*, Huan Liu, Jundong Li
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023)

• Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance
  Song Wang, Tan Zhen, Ruocheng Guo, Jundong Li.
  Conference on Empirical Methods in Natural Language Processing (EMNLP 2023)

• Inductive Linear Probing for Few-Shot Node Classification
  Hirthik Mathavan, Zhen Tan, Nivedh Mudiam, Huan Liu.
  International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS 2023)

2022

• Transductive linear probing: A novel framework for few-shot node classification
  Zhen Tan*, Song Wang*, Kaize Ding*, Jundong Li, Huan Liu.
  Learning on Graphs Conference (LoG 2022)

• Supervised graph contrastive learning for few-shot node classification
  Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu.
  Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD 2022)

• Graph few-shot class-incremental learning*
  Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu.
  ACM international Conference on Web Search and Data Mining (WSDM 2022)