Jay Chiehen Liao

According to our database, Jay Chiehen Liao authored at least 7 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ALICE: A Multifaceted Evaluation Framework of Large Audio-Language Models' In-Context Learning Ability.

Yen-Ting Piao, Jay Chiehen Liao, Wei-Tang Chien, Toshiki Ogimoto, Shang-Tse Chen, Yun-Nung Chen, Chun-Yi Lee, Shao-Yuan Lo

CoRR, March, 2026

Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions.

Cheng-Te Li, Yu-Che Tsai, Chih-Yao Chen, Jay Chiehen Liao

ACM Comput. Surv., January, 2026

2025

TabGSL: Graph Structure Learning for Tabular Data Predictions.

Jay Chiehen Liao, Jun-Wei Chiu, Cheng-Te Li

Proceedings of the IEEE International Conference on Big Data, 2025

2023

TabGSL: Graph Structure Learning for Tabular Data Prediction.

Jay Chiehen Liao, Cheng-Te Li

CoRR, 2023

Tutorials at The Web Conference 2023.

Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Graph Neural Networks for Tabular Data Learning.

Cheng-Te Li, Yu-Che Tsai, Jay Chiehen Liao

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Correction to: Predictive modeling for 14-day unplanned hospital readmission risk by using machine learning algorithms.

Yu-Tai Lo, Jay Chiehen Liao, Mei-Hua Chen, Chia-Ming Chang, Cheng-Te Li

BMC Medical Informatics Decis. Mak., 2022