Yu-Neng Chuang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 30

Top Topics

Collaborative Filtering

Pearson Correlation Coefficient

Top Venues

Publications

Yu-Neng Chuang, Tianwei Xing, Chia-Yuan Chang, Zirui Liu, Xun Chen, Xia Hu
Learning to Compress Prompt in Natural Language Formats. CoRR (2024)
Jiayi Yuan, Hongyi Liu, Shaochen Zhong, Yu-Neng Chuang, Songchen Li, Guanchu Wang, Duy Le, Hongye Jin, Vipin Chaudhary, Zhaozhuo Xu, Zirui Liu, Xia Hu
KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches. CoRR (2024)
Yuhao Xu, Xinqi Liu, Keyu Duan, Yi Fang, Yu-Neng Chuang, Daochen Zha, Qiaoyu Tan
GraphFM: A Comprehensive Benchmark for Graph Foundation Model. CoRR (2024)
Yu-Neng Chuang, Ruixiang Tang, Xiaoqian Jiang, Xia Hu
SPeC: A Soft Prompt-Based Calibration on Performance Variability of Large Language Model in Clinical Notes Summarization. J. Biomed. Informatics 151 (2024)
Hongyi Liu, Zirui Liu, Ruixiang Tang, Jiayi Yuan, Shaochen Zhong, Yu-Neng Chuang, Li Li, Rui Chen, Xia Hu
LoRA-as-an-Attack! Piercing LLM Safety Under The Share-and-Play Scenario. CoRR (2024)
Aokun Chen, Qian Li, Yu Huang, Yongqiu Li, Yu-Neng Chuang, Xia Hu, Serena Guo, Yonghui Wu, Yi Guo, Jiang Bian
Feasibility of Identifying Factors Related to Alzheimer's Disease and Related Dementia in Real-World Data. CoRR (2024)
Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Ruixiang Tang, Fan Yang, Mengnan Du, Xuanting Cai, Xia Hu
Large Language Models As Faithful Explainers. CoRR (2024)
Ruixiang Tang, Yu-Neng Chuang, Xia Hu
The Science of Detecting LLM-Generated Text. Commun. ACM 67 (4) (2024)
Yu-Neng Chuang, Tianwei Xing, Chia-Yuan Chang, Zirui Liu, Xun Chen, Xia Ben Hu
Learning to Compress Prompt in Natural Language Formats. NAACL-HLT (2024)
Yu-Neng Chuang, Songchen Li, Jiayi Yuan, Guanchu Wang, Kwei-Herng Lai, Leisheng Yu, Sirui Ding, Chia-Yuan Chang, Qiaoyu Tan, Daochen Zha, Xia Hu
Understanding Different Design Choices in Training Large Time Series Models. CoRR (2024)
Yu-Neng Chuang, Guanchu Wang, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Hu
CoRTX: Contrastive Framework for Real-time Explanation. ICLR (2023)
Chia-Yuan Chang, Yu-Neng Chuang, Guanchu Wang, Mengnan Du, Zou Na
DISPEL: Domain Generalization via Domain-Specific Liberating. CoRR (2023)
Yu-Neng Chuang, Guanchu Wang, Fan Yang, Zirui Liu, Xuanting Cai, Mengnan Du, Xia Hu
Efficient XAI Techniques: A Taxonomic Survey. CoRR (2023)
Chia-Yuan Chang, Yu-Neng Chuang, Zhimeng Jiang, Kwei-Herng Lai, Anxiao Jiang, Na Zou
CODA: Temporal Domain Generalization via Concept Drift Simulator. CoRR (2023)
Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Kwei-Herng Lai, Daochen Zha, Ruixiang Tang, Fan Yang, Alfredo Costilla-Reyes, Kaixiong Zhou, Xiaoqian Jiang, Xia Ben Hu
DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. CoRR (2023)
Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu
LETA: Learning Transferable Attribution for Generic Vision Explainer. CoRR (2023)
Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Kwei-Herng Lai, Daochen Zha, Ruixiang Tang, Fan Yang, Alfredo Costilla-Reyes, Kaixiong Zhou, Xiaoqian Jiang, Xia Hu
DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. CIKM (2023)
Chia-Yuan Chang, Yu-Neng Chuang, Kwei-Herng Lai, Xiaotian Han, Xia Hu, Na Zou
Towards Assumption-free Bias Mitigation. CoRR (2023)
Ruixiang Tang, Yu-Neng Chuang, Xia Hu
The Science of Detecting LLM-Generated Texts. CoRR (2023)
Yu-Neng Chuang, Ruixiang Tang, Xiaoqian Jiang, Xia Hu
SPeC: A Soft Prompt-Based Calibration on Mitigating Performance Variability in Clinical Notes Summarization. CoRR (2023)
Yu-Neng Chuang, Guanchu Wang, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Hu
CoRTX: Contrastive Framework for Real-time Explanation. CoRR (2023)
Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, Mengnan Du, Chia-Yuan Chang, Na Zou, Xia Hu
Mitigating Relational Bias on Knowledge Graphs. CoRR (2022)
Guanchu Wang, Yu-Neng Chuang, Mengnan Du, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Hu
Accelerating Shapley Explanation via Contributive Cooperator Selection. CoRR (2022)
Guanchu Wang, Yu-Neng Chuang, Mengnan Du, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Hu
Accelerating Shapley Explanation via Contributive Cooperator Selection. ICML (2022)
Chuan-Ju Wang, Yu-Neng Chuang, Chih-Ming Chen, Ming-Feng Tsai
Skewness Ranking Optimization for Personalized Recommendation. CoRR (2020)
Yu-Neng Chuang, Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai, Yuan Fang, Ee-Peng Lim
TPR: Text-aware Preference Ranking for Recommender Systems. CIKM (2020)
Yu-Neng Chuang, Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai
Skewness Ranking Optimization for Personalized Recommendation. UAI (2020)
Sheng-Chieh Lin, Yu-Neng Chuang, Sheng-Fang Yang, Ming-Feng Tsai, Chuan-Ju Wang
Negative-Aware Collaborative Filtering. RecSys (Late-Breaking Results) (2019)
Yu-Neng Chuang, Zi-Yu Huang, Yen-Lung Tsai
Variational Grid Setting Network. CoRR (2017)
Yu-Neng Chuang, Zi-Yu Huang, Yen-Lung Tsai
Variational grid setting network. IALP (2017)