Yu-Che Tsai

27 papers A* 2A 4B 1Journal 12Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Concept-Aware Privacy Mechanisms for Defending Embedding Inversion Attacks.
CoRR
Yu-Che Tsai, Hsiang Hsiao, Kuan-Yu Chen, Shou-De Lin
2026 J jnl
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions.
ACM Comput. Surv.
Cheng-Te Li, Yu-Che Tsai, Chih-Yao Chen, Jay Chiehen Liao
2025 J jnl
Let LLMs Speak Embedding Languages: Generative Text Embeddings via Iterative Contrastive Refinement.
CoRR
Yu-Che Tsai, Kuan-Yu Chen, Yuan-Chi Li, Yuan-Hao Chen, Ching-Yu Tsai, Shou-De Lin
2024 — conf
Burstiness-aware Bipartite Graph Neural Networks for Fraudulent User Detection on Rating Platforms.
WWW (Companion Volume)
Yen-Wen Lu, Yu-Che Tsai, Cheng-Te Li
2024 J jnl
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions.
CoRR
Cheng-Te Li, Yu-Che Tsai, Chih-Yao Chen, Jay Chiehen Liao
2024 — conf
The 12th International Workshop on Natural Language Processing for Social Media (SocialNLP 2024).
WWW (Companion Volume)
Cheng-Te Li, Lun-Wei Ku, Yu-Che Tsai
2024 — conf
Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries.
ACL (1)
Yu-Hsiang Huang, Yu-Che Tsai, Hsiang Hsiao, Hong-Yi Lin, Shou-De Lin
2024 J jnl
Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries.
CoRR
Yu-Hsiang Huang, Yu-Che Tsai, Hsiang Hsiao, Hong-Yi Lin, Shou-De Lin
2023 J jnl
AutoML-GPT: Large Language Model for AutoML.
CoRR
Yun-Da Tsai, Yu-Che Tsai, Bo-Wei Huang, Chun-Pai Yang, Shou-De Lin
2023 — conf
Development of parking space certificate management system based on blockchain approach.
BCD
Yu-Che Tsai, Ming-Te Chen, Yi-Ying Chang
2023 J jnl
FinGAT: Financial Graph Attention Networks for Recommending Top-$K$K Profitable Stocks.
IEEE Trans. Knowl. Data Eng.
Yi-Ling Hsu, Yu-Che Tsai, Cheng-Te Li
2023 A* conf
Graph Neural Networks for Tabular Data Learning.
ICDE
Cheng-Te Li, Yu-Che Tsai, Jay Chiehen Liao
2023 A conf
GraphFC: Customs Fraud Detection with Label Scarcity.
CIKM
Karandeep Singh, Yu-Che Tsai, Cheng-Te Li, Meeyoung Cha, Shou-De Lin
2023 J jnl
GraphFC: Customs Fraud Detection with Label Scarcity.
CoRR
Karandeep Singh, Yu-Che Tsai, Cheng-Te Li, Meeyoung Cha, Shou-De Lin
2023 — conf
Tutorials at The Web Conference 2023.
WWW (Companion Volume)
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
2022 — conf
SocialNLP'22: 10th International Workshop on Natural Language Processing for Social Media.
WWW (Companion Volume)
Cheng-Te Li, Lun-Wei Ku, Yu-Che Tsai, Wei-Yao Wang
2022 — conf
Unsupervised Post-Time Fake Social Message Detection with Recommendation-aware Representation Learning.
WWW (Companion Volume)
Shao-Ping Hsiao, Yu-Che Tsai, Cheng-Te Li
2021 B conf
CARE: learning convolutional attentional recurrent embedding for sequential recommendation.
ASONAM
Yu-Che Tsai, Cheng-Te Li
2021 J jnl
FinGAT: Financial Graph Attention Networks for Recommending Top-K Profitable Stocks.
CoRR
Yi-Ling Hsu, Yu-Che Tsai, Cheng-Te Li
2020 A* conf
DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection.
KDD
Sundong Kim, Yu-Che Tsai, Karandeep Singh, Yeonsoo Choi, Etim Ibok, Cheng-Te Li, Meeyoung Cha
2019 A conf
FineNet: a joint convolutional and recurrent neural network model to forecast and recommend anomalous financial items.
RecSys
Yu-Che Tsai, Chih-Yao Chen, Shao-Lun Ma, Pei-Chi Wang, You-Jia Chen, Yu-Chieh Chang, Cheng-Te Li
2019 — conf
Predicting New Adopters via Socially-Aware Neural Graph Collaborative Filtering.
CSoNet
Yu-Che Tsai, Muzhi Guan, Cheng-Te Li, Meeyoung Cha, Yong Li, Yue Wang
2019 A conf
Query Embedding Learning for Context-based Social Search.
CIKM
Yi-Chun Chen, Yu-Che Tsai, Cheng-Te Li
2012 J jnl
Variations in Connectivity in the Sensorimotor and Default-Mode Networks During the First Nocturnal Sleep Cycle.
Brain Connect.
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
2009 J jnl
An Optimal Solution for the Heterogeneous Multiprocessor Single-Level Voltage-Setup Problem.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Edward T.-H. Chu, Tai-Yi Huang, Yu-Che Tsai
2008 J jnl
An Efficient Real-Time Disk-Scheduling Framework with Adaptive Quality Guarantee.
IEEE Trans. Computers
Cheng-Han Tsai, Tai-Yi Huang, Edward T.-H. Chu, Chun-Hang Wei, Yu-Che Tsai
2007 A conf
A Near-optimal Solution for the Heterogeneous Multi-processor Single-level Voltage Setup Problem.
IPDPS
Tai-Yi Huang, Yu-Che Tsai, Edward T.-H. Chu