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1
A Comprehensive and Adversarial Approach to Self-Supervised Representation Learning

Xu, Yi-Zhan; Han, Sungwon; Park, Sungwon; Cha, Meeyoung; Li, Cheng-Te, 8th IEEE International Conference on Big Data (Big Data), pp.709 - 717, IEEE, 2020-12-10

2
DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection

Kim, Sundong; Tsai, Yu-Che; Singh, Karandeep; Choi, Yeonsoo; Ibok, Etim; Li, Cheng-Te; Cha, Meeyoung, 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2020, pp.2880 - 2890, Association for Computing Machinery, 2020-08-24

3
GraphFC: Customs Fraud Detection with Label Scarcity

Singh, Karandeep; Tsai, Yu-Che; Li, Cheng-Te; Cha, Meeyoung; Lin, Shou-De, CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management, ACM, 2023-10-25

4
Learning Sleep Quality from Daily Logs

Park, Sungkyu; Li, Cheng-Te; Han, Sungwon; Hsu, Cheng; Lee, Sang Won; Cha, Meeyoung, 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), pp.2421 - 2429, ASSOC COMPUTING MACHINERY, 2019-08

5
Predicting new adopters via socially-aware neural graph collaborative filtering

Tsai, Yu-Che; Guan, Muzhi; Li, Cheng-Te; Cha, Meeyoung; Li, Yong; Wang, Yue, 8th International Conference on Computational Data and Social Networks, CSoNet 2019, pp.155 - 162, Springer, 2019-11

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