Yu-Che Tsai

According to our database, Yu-Che Tsai authored at least 19 papers between 2007 and 2024.

Collaborative distances:

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

2024

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

CoRR, 2024

2023

FinGAT: Financial Graph Attention Networks for Recommending Top-$K$K Profitable Stocks.

Yi-Ling Hsu, Yu-Che Tsai, Cheng-Te Li

IEEE Trans. Knowl. Data Eng., 2023

AutoML-GPT: Large Language Model for AutoML.

Yun-Da Tsai, Yu-Che Tsai, Bo-Wei Huang, Chun-Pai Yang, Shou-De Lin

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 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

GraphFC: Customs Fraud Detection with Label Scarcity.

Karandeep Singh, Yu-Che Tsai, Cheng-Te Li, Meeyoung Cha, Shou-De Lin

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Development of parking space certificate management system based on blockchain approach.

Yu-Che Tsai, Ming-Te Chen, Yi-Ying Chang

Proceedings of the 8th IEEE/ACIS International Conference on Big Data, 2023

2022

SocialNLP'22: 10th International Workshop on Natural Language Processing for Social Media.

Cheng-Te Li, Lun-Wei Ku, Yu-Che Tsai, Wei-Yao Wang

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Unsupervised Post-Time Fake Social Message Detection with Recommendation-aware Representation Learning.

Shao-Ping Hsiao, Yu-Che Tsai, Cheng-Te Li

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

2021

FinGAT: Financial Graph Attention Networks for Recommending Top-K Profitable Stocks.

Yi-Ling Hsu, Yu-Che Tsai, Cheng-Te Li

CoRR, 2021

CARE: learning convolutional attentional recurrent embedding for sequential recommendation.

Yu-Che Tsai, Cheng-Te Li

Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020

DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection.

Sundong Kim, Yu-Che Tsai, Karandeep Singh, Yeonsoo Choi, Etim Ibok, Cheng-Te Li, Meeyoung Cha

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

FineNet: a joint convolutional and recurrent neural network model to forecast and recommend anomalous financial items.

Yu-Che Tsai, Chih-Yao Chen, Shao-Lun Ma, Pei-Chi Wang, You-Jia Chen, Yu-Chieh Chang, Cheng-Te Li

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Predicting New Adopters via Socially-Aware Neural Graph Collaborative Filtering.

Yu-Che Tsai, Muzhi Guan, Cheng-Te Li, Meeyoung Cha, Yong Li, Yue Wang

Proceedings of the Computational Data and Social Networks - 8th International Conference, 2019

Query Embedding Learning for Context-based Social Search.

Yi-Chun Chen, Yu-Che Tsai, Cheng-Te Li

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2012

Variations in Connectivity in the Sensorimotor and Default-Mode Networks During the First Nocturnal Sleep Cycle.

Changwei W. Wu, Po-Yu Liu, Pei-Jung Tsai, Yu-Chin Wu, Ching-Sui Hung, Yu-Che Tsai, Kuan-Hung Cho, Bharat B. Biswal, Chia-Ju Chen, Ching-Po Lin

Brain Connect., 2012

2009

An Optimal Solution for the Heterogeneous Multiprocessor Single-Level Voltage-Setup Problem.

Edward T.-H. Chu, Tai-Yi Huang, Yu-Che Tsai

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2009

2008

An Efficient Real-Time Disk-Scheduling Framework with Adaptive Quality Guarantee.

Cheng-Han Tsai, Tai-Yi Huang, Edward T.-H. Chu, Chun-Hang Wei, Yu-Che Tsai

IEEE Trans. Computers, 2008

2007

A Near-optimal Solution for the Heterogeneous Multi-processor Single-level Voltage Setup Problem.

Tai-Yi Huang, Yu-Che Tsai, Edward T.-H. Chu

Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007