Variational grid setting network. - Yu-Neng Chuang; Zi-Yu Huang; Yen-Lung Tsai (IALP, 2017)

Negative-Aware Collaborative Filtering. - Sheng-Chieh Lin; Yu-Neng Chuang; Sheng-Fang Yang; Ming-Feng Tsai; Chuan-Ju Wang (RecSys (Late-Breaking Results), 2019)

TPR: Text-aware Preference Ranking for Recommender Systems. - Yu-Neng Chuang; Chih-Ming Chen 003; Chuan-Ju Wang; Ming-Feng Tsai; Yuan Fang 001; Ee-Peng Lim (CIKM, 2020)

Skewness Ranking Optimization for Personalized Recommendation. - Yu-Neng Chuang; Chih-Ming Chen 003; Chuan-Ju Wang; Ming-Feng Tsai (UAI, 2020)

Accelerating Shapley Explanation via Contributive Cooperator Selection. - Guanchu Wang; Yu-Neng Chuang; Mengnan Du; Fan Yang 023; Quan Zhou; Pushkar Tripathi; Xuanting Cai; Xia Ben Hu (ICML, 2022)

Mitigating Relational Bias on Knowledge Graphs. - Yu-Neng Chuang; Kwei-Herng Lai; Ruixiang Tang; Mengnan Du; Chia-Yuan Chang 002; Na Zou 001; Xia Hu 001 (CoRR, 2022)

DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. - Yu-Neng Chuang; Guanchu Wang; Chia-Yuan Chang 002; Kwei-Herng Lai; Daochen Zha; Ruixiang Tang; Fan Yang 023; Alfredo Costilla-Reyes; Kaixiong Zhou; Xiaoqian Jiang; Xia Hu 001 (CIKM, 2023)

CoRTX: Contrastive Framework for Real-time Explanation. - Yu-Neng Chuang; Guanchu Wang; Fan Yang 023; Quan Zhou; Pushkar Tripathi; Xuanting Cai; Xia Ben Hu (ICLR, 2023)

Efficient XAI Techniques: A Taxonomic Survey. - Yu-Neng Chuang; Guanchu Wang; Fan Yang 023; Zirui Liu 001; Xuanting Cai; Mengnan Du; Xia Ben Hu (CoRR, 2023)

The Science of Detecting LLM-Generated Texts. - Ruixiang Tang; Yu-Neng Chuang; Xia Hu 001 (CoRR, 2023)

SPeC: A Soft Prompt-Based Calibration on Mitigating Performance Variability in Clinical Notes Summarization. - Yu-Neng Chuang; Ruixiang Tang; Xiaoqian Jiang; Xia Hu 001 (CoRR, 2023)

Towards Assumption-free Bias Mitigation. - Chia-Yuan Chang 002; Yu-Neng Chuang; Kwei-Herng Lai; Xiaotian Han; Xia Hu 001; Na Zou 001 (CoRR, 2023)

DISPEL: Domain Generalization via Domain-Specific Liberating. - Chia-Yuan Chang 002; Yu-Neng Chuang; Guanchu Wang; Mengnan Du; Zou Na (CoRR, 2023)

CODA: Temporal Domain Generalization via Concept Drift Simulator. - Chia-Yuan Chang 002; Yu-Neng Chuang; Zhimeng Jiang; Kwei-Herng Lai; Anxiao Jiang; Na Zou 001 (CoRR, 2023)

LETA: Learning Transferable Attribution for Generic Vision Explainer. - Guanchu Wang; Yu-Neng Chuang; Fan Yang 023; Mengnan Du; Chia-Yuan Chang 002; Shaochen Zhong; Zirui Liu 001; Zhaozhuo Xu; Kaixiong Zhou; Xuanting Cai; Xia Hu 001 (CoRR, 2023)

Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion. - Guanchu Wang; Yu-Neng Chuang; Ruixiang Tang; Shaochen Zhong; Jiayi Yuan 001; Hongye Jin; Zirui Liu 001; Vipin Chaudhary; Shuai Xu; James Caverlee; Xia Ben Hu (EMNLP, 2024)

KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches. - Jiayi Yuan 001; Hongyi Liu; Shaochen (Henry) Zhong; Yu-Neng Chuang; Songchen Li; Guanchu Wang; Duy Le 001; Hongye Jin; Vipin Chaudhary; Zhaozhuo Xu; Zirui Liu 001; Xia Ben Hu (EMNLP (Findings), 2024)

TVE: Learning Meta-attribution for Transferable Vision Explainer. - Guanchu Wang; Yu-Neng Chuang; Fan Yang 023; Mengnan Du; Chia-Yuan Chang 002; Shaochen Zhong; Zirui Liu 001; Zhaozhuo Xu; Kaixiong Zhou; Xuanting Cai; Xia Hu 001 (ICML, 2024)

Learning to Compress Prompt in Natural Language Formats. - Yu-Neng Chuang; Tianwei Xing; Chia-Yuan Chang 002; Zirui Liu 001; Xun Chen; Xia Ben Hu (NAACL-HLT, 2024)

Secure Your Model: An Effective Key Prompt Protection Mechanism for Large Language Models. - Ruixiang Tang; Yu-Neng Chuang; Xuanting Cai; Mengnan Du; Xia Hu 001 (NAACL-HLT (Findings), 2024)

Large Language Models As Faithful Explainers. - Yu-Neng Chuang; Guanchu Wang; Chia-Yuan Chang 002; Ruixiang Tang; Fan Yang 023; Mengnan Du; Xuanting Cai; Xia Hu 001 (CoRR, 2024)

Feasibility of Identifying Factors Related to Alzheimer's Disease and Related Dementia in Real-World Data. - Aokun Chen; Qian Li 034; Yu Huang 018; Yongqiu Li; Yu-Neng Chuang; Xia Hu 001; Serena Guo; Yonghui Wu; Yi Guo 005; Jiang Bian 001 (CoRR, 2024)

LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem. - Hongyi Liu; Shaochen (Henry) Zhong; Xintong Sun; Minghao Tian; Mohsen Hariri; Zirui Liu 001; Ruixiang Tang; Zhimeng Jiang; Jiayi Yuan 001; Yu-Neng Chuang; Li Li 035; Soo-Hyun Choi; et al. (CoRR, 2024)

GraphFM: A Comprehensive Benchmark for Graph Foundation Model. - Yuhao Xu; Xinqi Liu; Keyu Duan; Yi Fang; Yu-Neng Chuang; Daochen Zha; Qiaoyu Tan (CoRR, 2024)

Understanding Different Design Choices in Training Large Time Series Models. - Yu-Neng Chuang; Songchen Li; Jiayi Yuan 001; Guanchu Wang; Kwei-Herng Lai; Leisheng Yu; Sirui Ding; Chia-Yuan Chang 002; Qiaoyu Tan; Daochen Zha; Xia Hu 001 (CoRR, 2024)

Assessing and Enhancing Large Language Models in Rare Disease Question-answering. - Guanchu Wang; Junhao Ran; Ruixiang Tang; Chia-Yuan Chang 002; Yu-Neng Chuang; Zirui Liu 001; Vladimir Braverman; Zhandong Liu; Xia Hu 001 (CoRR, 2024)

Learning to Route with Confidence Tokens. - Yu-Neng Chuang; Helen Zhou; Prathusha Kameswara Sarma; Parikshit Gopalan; John Boccio; Sara Bolouki; Xia Hu 001 (CoRR, 2024)

SPeC: A Soft Prompt-Based Calibration on Performance Variability of Large Language Model in Clinical Notes Summarization. - Yu-Neng Chuang; Ruixiang Tang; Xiaoqian Jiang; Xia Hu 001 (J. Biomed. Informatics, 2024)

The Science of Detecting LLM-Generated Text. - Ruixiang Tang; Yu-Neng Chuang; Xia Hu 001 (Commun. ACM, 2024)

ReasonerRank: Redefining Language Model Evaluation with Ground-Truth-Free Ranking Frameworks. - Jiamu Zhang; Jiayi Yuan 001; Andrew Wen; Hoang Anh Duy Le; Yu-Neng Chuang; Soo-Hyun Choi; Rui Chen 012; Xia Hu 001 (ACL (Findings), 2025)

Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models. - Mingyu Zhong; Guanchu Wang; Yu-Neng Chuang; Na Zou 001 (ACL (1), 2025)

DHP Benchmark: Are LLMs Good NLG Evaluators? - Yicheng Wang; Jiayi Yuan 001; Yu-Neng Chuang; Zhuoer Wang; Yingchi Liu; Mark Cusick; Param Kulkarni; Zhengping Ji; Yasser Ibrahim; Xia Hu 001 (NAACL (Findings), 2025)

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models. - Yang Sui; Yu-Neng Chuang; Guanchu Wang; Jiamu Zhang; Tianyi Zhang; Jiayi Yuan 001; Hongyi Liu; Andrew Wen; Shaochen Zhong; Na Zou 001; Hanjie Chen; Xia Hu 001 (Trans. Mach. Learn. Res., 2025)

Confident or Seek Stronger: Exploring Uncertainty-Based On-device LLM Routing From Benchmarking to Generalization. - Yu-Neng Chuang; Leisheng Yu; Guanchu Wang; Lizhe Zhang; Zirui Liu 001; Xuanting Cai; Yang Sui; Vladimir Braverman; Xia Ben Hu (CoRR, 2025)

Fair-RGNN: Mitigating Relational Bias on Knowledge Graphs. - Yu-Neng Chuang; Kwei-Herng Lai; Ruixiang Tang; Mengnan Du; Chia-Yuan Chang 002; Na Zou 001; Xia Hu 001 (ACM Trans. Knowl. Discov. Data, 2025)

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models. - Yang Sui; Yu-Neng Chuang; Guanchu Wang; Jiamu Zhang; Tianyi Zhang; Jiayi Yuan 001; Hongyi Liu; Andrew Wen; Shaochen Zhong; Hanjie Chen; Xia Ben Hu (CoRR, 2025)

AutoL2S: Auto Long-Short Reasoning for Efficient Large Language Models. - Feng Luo; Yu-Neng Chuang; Guanchu Wang; Hoang Anh Duy Le; Shaochen Zhong; Hongyi Liu; Jiayi Yuan 001; Yang Sui; Vladimir Braverman; Vipin Chaudhary; Xia Hu 001 (CoRR, 2025)

Self-ensemble: Mitigating Confidence Distortion for Large Language Models. - Zicheng Xu; Guanchu Wang; Guangyao Zheng; Yu-Neng Chuang; Alexander S. Szalay; Xia Ben Hu; Vladimir Braverman (CoRR, 2025)