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ORCIDZhen Tan 0001
Person information
- affiliation: Arizona State University, USA
Other persons with the same name
- Zhen Tan — disambiguation page
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2020 – today
- 2025
[c24]Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li:
BrainMAP: Learning Multiple Activation Pathways in Brain Networks. AAAI 2025: 14432-14440- [c23]Zhen Tan, Jie Peng, Song Wang, Lijie Hu, Tianlong Chen, Huan Liu:
Tuning-Free Accountable Intervention for LLM Deployment - a Metacognitive Approach. AAAI 2025: 25237-25245 - [c22]Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li:
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models. ICLR 2025 - [c21]Lichi Li
, Zainul Abi Din, Zhen Tan, Sam London, Tianlong Chen, Ajay H. Daptardar:
MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems. KDD (1) 2025: 2371-2382 - [i47]Yifan Li, Zhixin Lai, Wentao Bao, Zhen Tan, Anh Dao, Kewei Sui, Jiayi Shen, Dong Liu, Huan Liu, Yu Kong:
Visual Large Language Models for Generalized and Specialized Applications. CoRR abs/2501.02765 (2025) - [i46]Lo Pang-Yun Ting, Zhen Tan, Hong-Pei Chen, Cheng-Te Li, Po-Lin Chen, Kun-Ta Chuang, Huan Liu:
CAND: Cross-Domain Ambiguity Inference for Early Detecting Nuanced Illness Deterioration. CoRR abs/2501.16365 (2025) - [i45]Ruichen Zhang, Mufan Qiu, Zhen Tan, Mohan Zhang, Vincent Lu, Jie Peng, Kaidi Xu, Leandro Z. Agudelo, Peter Qian, Tianlong Chen:
Symbiotic Cooperation for Web Agents: Harnessing Complementary Strengths of Large and Small LLMs. CoRR abs/2502.07942 (2025) - [i44]Song Wang, Zhen Tan, Yaochen Zhu, Chuxu Zhang, Jundong Li:
Generative Risk Minimization for Out-of-Distribution Generalization on Graphs. CoRR abs/2502.07968 (2025) - [i43]Chengshuai Zhao, Zhen Tan, Chau-Wai Wong, Xinyan Zhao, Tianlong Chen, Huan Liu:
SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention. CoRR abs/2502.10937 (2025) - [i42]Bo Yuan, Yulin Chen, Zhen Tan, Jinyan Wang, Huan Liu, Yin Zhang:
Label Distribution Learning-Enhanced Dual-KNN for Text Classification. CoRR abs/2503.04869 (2025) - [i41]Zhen Tan, Jun Yan, I-Hung Hsu, Rujun Han, Zifeng Wang, Long T. Le, Yiwen Song, Yanfei Chen, Hamid Palangi, George Lee, Anand Iyer, Tianlong Chen, Huan Liu, Chen-Yu Lee, Tomas Pfister:
In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents. CoRR abs/2503.08026 (2025) - [i40]Rana Muhammad Shahroz Khan, Zhen Tan, Sukwon Yun, Charles Flemming, Tianlong Chen:
Agents Under Siege: Breaking Pragmatic Multi-Agent LLM Systems with Optimized Prompt Attacks. CoRR abs/2504.00218 (2025) - [i39]Zihan Chen, Song Wang, Zhen Tan, Xingbo Fu, Zhen Lei, Peng Wang, Huan Liu, Cong Shen, Jundong Li:
A Survey of Scaling in Large Language Model Reasoning. CoRR abs/2504.02181 (2025) - [i38]Yifan Li, Wentao Bao, Botao Ye, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong:
Window Token Concatenation for Efficient Visual Large Language Models. CoRR abs/2504.04024 (2025) - [i37]Zhen Tan, Song Wang, Yifan Li, Yu Kong, Jundong Li, Tianlong Chen, Huan Liu:
Are We Merely Justifying Results ex Post Facto? Quantifying Explanatory Inversion in Post-Hoc Model Explanations. CoRR abs/2504.08919 (2025) - [i36]Huaizhi Qu, Inyoung Choi, Zhen Tan, Song Wang, Sukwon Yun, Qi Long, Faizan Siddiqui, Kwonjoon Lee, Tian-Long Chen:
Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer. CoRR abs/2504.12589 (2025) - 2024
- [j1]Dawei Li, Zhen Tan, Huan Liu:
Exploring Large Language Models for Feature Selection: A Data-centric Perspective. SIGKDD Explor. 26(2): 44-53 (2024) - [c20]Zhen Tan, Tianlong Chen, Zhenyu Zhang, Huan Liu:
Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention. AAAI 2024: 21619-21627 - [c19]Bohan Jiang, Chengshuai Zhao, Zhen Tan, Huan Liu:
Catching Chameleons: Detecting Evolving Disinformation Generated using Large Language Models. CogMI 2024: 197-206 - [c18]Alimohammad Beigi, Zhen Tan, Nivedh Mudiam, Canyu Chen, Kai Shu, Huan Liu:
Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning. DSAA 2024: 1-10 - [c17]Bohan Jiang, Lu Cheng, Zhen Tan, Ruocheng Guo, Huan Liu:
Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media. DSAA 2024: 1-10 - [c16]Dawei Li, Zhen Tan, Tianlong Chen, Huan Liu:
Contextualization Distillation from Large Language Model for Knowledge Graph Completion. EACL (Findings) 2024: 458-477 - [c15]Yifan Li, Anh Dao, Wentao Bao, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong:
Facial Affective Behavior Analysis with Instruction Tuning. ECCV (18) 2024: 165-186 - [c14]Zhen Tan, Dawei Li, Song Wang, Alimohammad Beigi, Bohan Jiang, Amrita Bhattacharjee, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu:
Large Language Models for Data Annotation and Synthesis: A Survey. EMNLP 2024: 930-957 - [c13]Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, Huan Liu:
Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models. EMNLP 2024: 1610-1626 - [c12]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:
DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. EMNLP (Findings) 2024: 2187-2205 - [c11]Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu:
Interpreting Pretrained Language Models via Concept Bottlenecks. PAKDD (3) 2024: 56-74 - [c10]Bo Yuan, Yulin Chen, Zhen Tan, Jinyan Wang, Huan Liu, Yin Zhang:
Label Distribution Learning-Enhanced Dual-KNN for Text Classification. SDM 2024: 400-408 - [c9]Bohan Jiang, Zhen Tan, Ayushi Nirmal, Huan Liu:
Disinformation Detection: An Evolving Challenge in the Age of LLMs. SDM 2024: 427-435 - [c8]Chi-Yang Hsu, Kyle Cox, Jiawei Xu, Zhen Tan, Tianhua Zhai, Mengzhou Hu, Dexter Pratt, Tianlong Chen, Ziniu Hu, Ying Ding:
Thought Graph: Generating Thought Process for Biological Reasoning. WWW (Companion Volume) 2024: 537-540 - [d1]Ujun Jeong, Bohan Jiang, Zhen Tan, H. Russell Bernard, Huan Liu:
BlueTempNet: A Temporal Multi-network Dataset of Social Interactions in Bluesky Social. IEEE DataPort, 2024
- [i35]Dawei Li, Zhen Tan, Tianlong Chen, Huan Liu:
Contextualization Distillation from Large Language Model for Knowledge Graph Completion. CoRR abs/2402.01729 (2024) - [i34]Zhen Tan, Alimohammad Beigi, Song Wang, Ruocheng Guo, Amrita Bhattacharjee, Bohan Jiang, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu:
Large Language Models for Data Annotation: A Survey. CoRR abs/2402.13446 (2024) - [i33]Lichi Li, Zainul Abi Din, Zhen Tan, Sam London, Tianlong Chen, Ajay H. Daptardar:
MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems. CoRR abs/2402.14230 (2024) - [i32]Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Yu Kong, Tianlong Chen, Huan Liu:
The Wolf Within: Covert Injection of Malice into MLLM Societies via an MLLM Operative. CoRR abs/2402.14859 (2024) - [i31]Song Wang, Zhen Tan, Xinyu Zhao, Tianlong Chen, Huan Liu, Jundong Li:
GraphRCG: Self-conditioned Graph Generation via Bootstrapped Representations. CoRR abs/2403.01071 (2024) - [i30]Bohan Jiang, Lu Cheng, Zhen Tan, Ruocheng Guo, Huan Liu:
Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media. CoRR abs/2403.04009 (2024) - [i29]Zhen Tan, Jie Peng, Tianlong Chen, Huan Liu:
Tuning-Free Accountable Intervention for LLM Deployment - A Metacognitive Approach. CoRR abs/2403.05636 (2024) - [i28]Chi-Yang Hsu, Kyle Cox, Jiawei Xu, Zhen Tan, Tianhua Zhai, Mengzhou Hu, Dexter Pratt, Tianlong Chen, Ziniu Hu, Ying Ding:
Thought Graph: Generating Thought Process for Biological Reasoning. CoRR abs/2403.07144 (2024) - [i27]Yifan Li, Anh Dao, Wentao Bao, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong:
Facial Affective Behavior Analysis with Instruction Tuning. CoRR abs/2404.05052 (2024) - [i26]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:
DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. CoRR abs/2405.04819 (2024) - [i25]Bohan Jiang, Chengshuai Zhao, Zhen Tan, Huan Liu:
Catching Chameleons: Detecting Evolving Disinformation Generated using Large Language Models. CoRR abs/2406.17992 (2024) - [i24]Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, Huan Liu:
"Glue pizza and eat rocks" - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models. CoRR abs/2406.19417 (2024) - [i23]Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li:
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models. CoRR abs/2407.02408 (2024) - [i22]Zhen Tan, Daize Dong, Xinyu Zhao, Jie Peng, Yu Cheng, Tianlong Chen:
DLO: Dynamic Layer Operation for Efficient Vertical Scaling of LLMs. CoRR abs/2407.11030 (2024) - [i21]Ujun Jeong, Bohan Jiang, Zhen Tan, H. Russell Bernard, Huan Liu:
BlueTempNet: A Temporal Multi-network Dataset of Social Interactions in Bluesky Social. CoRR abs/2407.17451 (2024) - [i20]Alimohammad Beigi, Zhen Tan, Nivedh Mudiam, Canyu Chen, Kai Shu, Huan Liu:
Model Attribution in Machine-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning. CoRR abs/2407.21264 (2024) - [i19]Dawei Li, Zhen Tan, Huan Liu:
Exploring Large Language Models for Feature Selection: A Data-centric Perspective. CoRR abs/2408.12025 (2024) - [i18]Joseph Lee, Shu Yang, Jae Young Baik, Xiaoxi Liu, Zhen Tan, Dawei Li, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Li Shen:
Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models. CoRR abs/2410.01795 (2024) - [i17]Alimohammad Beigi, Bohan Jiang, Dawei Li, Tharindu Kumarage, Zhen Tan, Pouya Shaeri, Huan Liu:
LRQ-Fact: LLM-Generated Relevant Questions for Multimodal Fact-Checking. CoRR abs/2410.04616 (2024) - [i16]Ruichen Zhang, Yuguang Yao, Zhen Tan, Zhiming Li, Pan Wang, Huan Liu, Jingtong Hu, Sijia Liu, Tianlong Chen:
FairSkin: Fair Diffusion for Skin Disease Image Generation. CoRR abs/2410.22551 (2024) - [i15]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:
From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge. CoRR abs/2411.16594 (2024) - [i14]Awais Naeem, Tianhao Li, Huang-Ru Liao, Jiawei Xu, Aby M. Mathew, Zehao Zhu, Zhen Tan, Ajay Kumar Jaiswal, Raffi A. Salibian, Ziniu Hu, Tianlong Chen, Ying Ding:
Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering. CoRR abs/2411.17073 (2024) - [i13]Bohan Jiang, Dawei Li, Zhen Tan, Xinyi Zhou, Ashwin Rao, Kristina Lerman, H. Russell Bernard, Huan Liu:
Assessing the Impact of Conspiracy Theories Using Large Language Models. CoRR abs/2412.07019 (2024) - [i12]Chengshuai Zhao, Garima Agrawal, Tharindu Kumarage, Zhen Tan, Yuli Deng, Ying-Chih Chen, Huan Liu:
Ontology-Aware RAG for Improved Question-Answering in Cybersecurity Education. CoRR abs/2412.14191 (2024) - [i11]Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li:
BrainMAP: Learning Multiple Activation Pathways in Brain Networks. CoRR abs/2412.17404 (2024) - 2023
- [c7]Song Wang, Zhen Tan, Ruocheng Guo, Jundong Li:
Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance. EMNLP (Findings) 2023: 12528-12540 - [c6]Zhen Tan, Ruocheng Guo, Kaize Ding, Huan Liu:
Virtual Node Tuning for Few-shot Node Classification. KDD 2023: 2177-2188 - [c5]Song Wang, Zhen Tan, Huan Liu, Jundong Li:
Contrastive Meta-Learning for Few-shot Node Classification. KDD 2023: 2386-2397 - [c4]Hirthik Mathavan, Zhen Tan, Nivedh Mudiam, Huan Liu:
Inductive Linear Probing for Few-Shot Node Classification. SBP-BRiMS 2023: 274-284 - [i10]Zhen Tan, Ruocheng Guo, Kaize Ding, Huan Liu:
Virtual Node Tuning for Few-shot Node Classification. CoRR abs/2306.06063 (2023) - [i9]Hirthik Mathavan, Zhen Tan, Nivedh Mudiam, Huan Liu:
Inductive Linear Probing for Few-shot Node Classification. CoRR abs/2306.08192 (2023) - [i8]Song Wang, Zhen Tan, Huan Liu, Jundong Li:
Contrastive Meta-Learning for Few-shot Node Classification. CoRR abs/2306.15154 (2023) - [i7]Bohan Jiang, Zhen Tan, Ayushi Nirmal, Huan Liu:
Disinformation Detection: An Evolving Challenge in the Age of LLMs. CoRR abs/2309.15847 (2023) - [i6]Song Wang, Zhen Tan, Ruocheng Guo, Jundong Li:
Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance. CoRR abs/2311.01108 (2023) - [i5]Zhen Tan, Lu Cheng, Song Wang, Yuan Bo, Jundong Li, Huan Liu:
Interpreting Pretrained Language Models via Concept Bottlenecks. CoRR abs/2311.05014 (2023) - [i4]Zhen Tan, Tianlong Chen, Zhenyu Zhang, Huan Liu:
Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention. CoRR abs/2312.15033 (2023) - 2022
- [c3]Zhen Tan, Song Wang, Kaize Ding, Jundong Li, Huan Liu:
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification. LoG 2022: 4 - [c2]Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu:
Supervised Graph Contrastive Learning for Few-Shot Node Classification. ECML/PKDD (2) 2022: 394-411 - [c1]Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu:
Graph Few-shot Class-incremental Learning. WSDM 2022: 987-996 - [i3]Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu:
A Simple Yet Effective Pretraining Strategy for Graph Few-shot Learning. CoRR abs/2203.15936 (2022) - [i2]Zhen Tan, Song Wang, Kaize Ding, Jundong Li, Huan Liu:
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification. CoRR abs/2212.05606 (2022) - 2021
- [i1]Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu:
Graph Few-shot Class-incremental Learning. CoRR abs/2112.12819 (2021)
Coauthor Index
[c23] [i47] [i46] [i43] [i42] [i41] [i39] [i38] [i37] [j1] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [d1] [i35] [i34] [i32] [i31] [i30] [i29] [i27] [i26] [i25] [i24] [i21] [i20] [i19] [i17] [i16] [i15] [i13] [i12] [c6] [c5] [c4] [i10] [i9] [i8] [i7] [i5] [i4] [c3] [c2] [c1] [i3] [i2] [i1]
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