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Yu-Che Tsai
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2020 – today
- 2024
- [c15]Yu-Hsiang Huang, Yu-Che Tsai, Hsiang Hsiao, Hong-Yi Lin, Shou-De Lin:
Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries. ACL (1) 2024: 4193-4205 - [c14]Yen-Wen Lu
, Yu-Che Tsai
, Cheng-Te Li
:
Burstiness-aware Bipartite Graph Neural Networks for Fraudulent User Detection on Rating Platforms. WWW (Companion Volume) 2024: 834-837 - [c13]Cheng-Te Li
, Lun-Wei Ku
, Yu-Che Tsai
:
The 12th International Workshop on Natural Language Processing for Social Media (SocialNLP 2024). WWW (Companion Volume) 2024: 1647-1648 - [i5]Cheng-Te Li, Yu-Che Tsai, Chih-Yao Chen, Jay Chiehen Liao:
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions. CoRR abs/2401.02143 (2024) - [i4]Yu-Hsiang Huang, Yu-Che Tsai, Hsiang Hsiao, Hong-Yi Lin, Shou-De Lin:
Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries. CoRR abs/2406.10280 (2024) - 2023
- [j4]Yi-Ling Hsu, Yu-Che Tsai, Cheng-Te Li
:
FinGAT: Financial Graph Attention Networks for Recommending Top-$K$K Profitable Stocks. IEEE Trans. Knowl. Data Eng. 35(1): 469-481 (2023) - [c12]Yu-Che Tsai, Ming-Te Chen, Yi-Ying Chang:
Development of parking space certificate management system based on blockchain approach. BCD 2023: 329-331 - [c11]Karandeep Singh
, Yu-Che Tsai
, Cheng-Te Li
, Meeyoung Cha
, Shou-De Lin
:
GraphFC: Customs Fraud Detection with Label Scarcity. CIKM 2023: 4829-4835 - [c10]Cheng-Te Li, Yu-Che Tsai, Jay Chiehen Liao:
Graph Neural Networks for Tabular Data Learning. ICDE 2023: 3589-3592 - [c9]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:
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658 - [i3]Karandeep Singh, Yu-Che Tsai, Cheng-Te Li, Meeyoung Cha
, Shou-De Lin:
GraphFC: Customs Fraud Detection with Label Scarcity. CoRR abs/2305.11377 (2023) - [i2]Yun-Da Tsai, Yu-Che Tsai, Bo-Wei Huang, Chun-Pai Yang, Shou-De Lin:
AutoML-GPT: Large Language Model for AutoML. CoRR abs/2309.01125 (2023) - 2022
- [c8]Shao-Ping Hsiao, Yu-Che Tsai, Cheng-Te Li:
Unsupervised Post-Time Fake Social Message Detection with Recommendation-aware Representation Learning. WWW (Companion Volume) 2022: 232-235 - [c7]Cheng-Te Li, Lun-Wei Ku, Yu-Che Tsai, Wei-Yao Wang
:
SocialNLP'22: 10th International Workshop on Natural Language Processing for Social Media. WWW (Companion Volume) 2022: 849-851 - 2021
- [c6]Yu-Che Tsai, Cheng-Te Li:
CARE: learning convolutional attentional recurrent embedding for sequential recommendation. ASONAM 2021: 654-660 - [i1]Yi-Ling Hsu, Yu-Che Tsai, Cheng-Te Li:
FinGAT: Financial Graph Attention Networks for Recommending Top-K Profitable Stocks. CoRR abs/2106.10159 (2021) - 2020
- [c5]Sundong Kim, Yu-Che Tsai, Karandeep Singh, Yeonsoo Choi, Etim Ibok, Cheng-Te Li, Meeyoung Cha
:
DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection. KDD 2020: 2880-2890
2010 – 2019
- 2019
- [c4]Yi-Chun Chen, Yu-Che Tsai, Cheng-Te Li:
Query Embedding Learning for Context-based Social Search. CIKM 2019: 2441-2444 - [c3]Yu-Che Tsai, Muzhi Guan, Cheng-Te Li, Meeyoung Cha
, Yong Li, Yue Wang:
Predicting New Adopters via Socially-Aware Neural Graph Collaborative Filtering. CSoNet 2019: 155-162 - [c2]Yu-Che Tsai, Chih-Yao Chen, Shao-Lun Ma, Pei-Chi Wang, You-Jia Chen, Yu-Chieh Chang, Cheng-Te Li:
FineNet: a joint convolutional and recurrent neural network model to forecast and recommend anomalous financial items. RecSys 2019: 536-537 - 2012
- [j3]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
:
Variations in Connectivity in the Sensorimotor and Default-Mode Networks During the First Nocturnal Sleep Cycle. Brain Connect. 2(4): 177-190 (2012)
2000 – 2009
- 2009
- [j2]Edward T.-H. Chu, Tai-Yi Huang, Yu-Che Tsai:
An Optimal Solution for the Heterogeneous Multiprocessor Single-Level Voltage-Setup Problem. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 28(11): 1705-1718 (2009) - 2008
- [j1]Cheng-Han Tsai, Tai-Yi Huang, Edward T.-H. Chu, Chun-Hang Wei, Yu-Che Tsai:
An Efficient Real-Time Disk-Scheduling Framework with Adaptive Quality Guarantee. IEEE Trans. Computers 57(5): 634-657 (2008) - 2007
- [c1]Tai-Yi Huang, Yu-Che Tsai, Edward T.-H. Chu:
A Near-optimal Solution for the Heterogeneous Multi-processor Single-level Voltage Setup Problem. IPDPS 2007: 1-10
Coauthor Index

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