Tan, Zhen

21 publications

NeurIPS 2025 $\texttt{BetaConform}$: Efficient MAP Estimation of LLM Ensemble Judgment Performance with Prior Transfer Huaizhi Qu, Inyoung Choi, Zhen Tan, Song Wang, Sukwon Yun, Qi Long, Faizan Siddiqui, Kwonjoon Lee, Tianlong Chen

AAAI 2025 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

ICLR 2025 CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li

AAAI 2025 Cross-Modal Multi-Task Learning for Multimedia Event Extraction Jianwei Cao, Yanli Hu, Zhen Tan, Xiang Zhao

ICLRW 2025 DLO: Dynamic Layer Operation for Efficient Vertical Scaling of LLMs Zhen Tan, Daize Dong, Xinyu Zhao, Jianing Cai, Jie Peng, Yu Cheng, Tianlong Chen

ICML 2025 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

ICLRW 2025 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

TMLR 2025 Generative Risk Minimization for Out-of-Distribution Generalization on Graphs Song Wang, Zhen Tan, Yaochen Zhu, Chuxu Zhang, Jundong Li

NeurIPS 2025 IndustryEQA: Pushing the Frontiers of Embodied Question Answering in Industrial Scenarios Yifan Li, Yuhang Chen, Anh Dao, Lichi Li, Zhongyi Cai, Zhen Tan, Tianlong Chen, Yu Kong

IJCAI 2025 Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract) Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu

AAAI 2025 Logic Induced High-Order Reasoning Network for Event-Event Relation Extraction Peixin Huang, Xiang Zhao, Minghao Hu, Zhen Tan, Weidong Xiao

ICML 2025 MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning Zihan Chen, Song Wang, Zhen Tan, Jundong Li, Cong Shen

NeurIPS 2025 Multi-Agent Debate for LLM Judges with Adaptive Stability Detection Tianyu Hu, Zhen Tan, Song Wang, Huaizhi Qu, Tianlong Chen

AAAI 2025 Tuning-Free Accountable Intervention for LLM Deployment - A Metacognitive Approach Zhen Tan, Jie Peng, Song Wang, Lijie Hu, Tianlong Chen, Huan Liu

CVPRW 2025 Window Token Concatenation for Efficient Visual Large Language Models Yifan Li, Wentao Bao, Botao Ye, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong

NeurIPSW 2024 CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li

ECCV 2024 Facial Affective Behavior Analysis with Instruction Tuning Yifan Li, Anh Dao, Wentao Bao, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong

AAAI 2024 Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention Zhen Tan, Tianlong Chen, Zhenyu Zhang, Huan Liu

ECML-PKDD 2022 Supervised Graph Contrastive Learning for Few-Shot Node Classification Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu

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

AAAI 2019 Jointly Extracting Multiple Triplets with Multilayer Translation Constraints Zhen Tan, Xiang Zhao, Wei Wang, Weidong Xiao