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Hsu-Chao Lai
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2020 – today
- 2024
- [c12]Pei-Chieh Sung, Hsu-Chao Lai, Guan-Yi Jhang, Tsì-Uí Ik, Chih-Chuan Wang, Jiun-Long Huang:
MoCVAE: Movement Prediction by A Conditional Variational Autoencoder for Doubles Badminton. BigComp 2024: 40-47 - 2023
- [j3]Wen-Yueh Shih, Hsu-Chao Lai, Jiun-Long Huang:
A Robust Real Time Bidding Strategy Against Inaccurate CTR Predictions by Using Cluster Expected Win Rate. IEEE Access 11: 126917-126926 (2023) - [c11]Yi-Feng Chen, Wen-Yueh Shih, Hsu-Chao Lai, Hao-Chun Chang, Jiun-Long Huang:
Pairs Trading Strategy Optimization Using Proximal Policy Optimization Algorithms. BigComp 2023: 40-47 - [c10]Hsu-Chao Lai, Philip S. Yu, Jiun-Long Huang:
Learning the Co-evolution Process on Live Stream Platforms with Dual Self-attention for Next-topic Recommendations. CIKM 2023: 1158-1167 - 2022
- [j2]Jing-You Lu, Hsu-Chao Lai, Wen-Yueh Shih, Yi-Feng Chen, Shen-Hang Huang, Hao-Han Chang, Jun-Zhe Wang, Jiun-Long Huang, Tian-Shyr Dai:
Structural break-aware pairs trading strategy using deep reinforcement learning. J. Supercomput. 78(3): 3843-3882 (2022) - [c9]Chiu-Hung Su, Hsu-Chao Lai, Wen-Yueh Shih, Jun-Zhe Wang, Jiun-Long Huang:
Spread Movement Prediction for Pairs Trading with High-Frequency Limit Order Data. BigComp 2022: 64-71 - 2021
- [c8]Hsu-Chao Lai, Yi-Shu Lu, Mu-Fan Wang, Yi-Cheng Chen, Wen-Yueh Shih, Jiun-Long Huang:
SPENT+: A Category- and Region-aware Successive POI Recommendation Model. APNOMS 2021: 230-233 - [c7]Yen-Yu Chen, Hsu-Chao Lai, Jiun-Long Huang, Ming-Jiu Hwang:
The Design and Implementation of a Blockchain-Based Logistics Platform for International Trade. APNOMS 2021: 234-237 - [c6]Yu-Shao Liu, Hsu-Chao Lai, Jiun-Long Huang, August F. Y. Chao:
On Detecting Cloud Container Failures from Computing Utility Sequences. APNOMS 2021: 358-361 - [i3]Hsu-Chao Lai, Jui-Yi Tsai, Hong-Han Shuai, Jiun-Long Huang, Wang-Chien Lee, De-Nian Yang:
Live Multi-Streaming and Donation Recommendations via Coupled Donation-Response Tensor Factorization. CoRR abs/2110.06117 (2021) - 2020
- [j1]Shao-Heng Ko, Hsu-Chao Lai, Hong-Han Shuai, Wang-Chien Lee, Philip S. Yu, De-Nian Yang:
Optimizing Item and Subgroup Configurations for Social-Aware VR Shopping. Proc. VLDB Endow. 13(8): 1275-1289 (2020) - [c5]Hsu-Chao Lai, Jui-Yi Tsai, Hong-Han Shuai, Jiun-Long Huang, Wang-Chien Lee, De-Nian Yang:
Live Multi-Streaming and Donation Recommendations via Coupled Donation-Response Tensor Factorization. CIKM 2020: 665-674 - [c4]Dung-Ru Yu, Chiao-Chuan Chu, Hsu-Chao Lai, Jiun-Long Huang:
Social Attentive Network for Live Stream Recommendation. WWW (Companion Volume) 2020: 24-25 - [i2]Shao-Heng Ko, Hsu-Chao Lai, Hong-Han Shuai, De-Nian Yang, Wang-Chien Lee, Philip S. Yu:
Optimizing Item and Subgroup Configurations for Social-Aware VR Shopping. CoRR abs/2002.04338 (2020)
2010 – 2019
- 2019
- [c3]Shao-Heng Ko, Ying-Chun Lin, Hsu-Chao Lai, Wang-Chien Lee, De-Nian Yang:
On VR Spatial Query for Dual Entangled Worlds. CIKM 2019: 9-18 - [c2]Hsu-Chao Lai, Hong-Han Shuai, De-Nian Yang, Jiun-Long Huang, Wang-Chien Lee, Philip S. Yu:
Social-Aware VR Configuration Recommendation via Multi-Feedback Coupled Tensor Factorization. CIKM 2019: 1773-1782 - [i1]Shao-Heng Ko, Ying-Chun Lin, Hsu-Chao Lai, Wang-Chien Lee, De-Nian Yang:
On VR Spatial Query for Dual Entangled Worlds. CoRR abs/1908.08691 (2019) - 2016
- [c1]Hsu-Chao Lai, Wen-Yueh Shih, Jiun-Long Huang, Yi-Cheng Chen:
Predicting traffic of online advertising in real-time bidding systems from perspective of demand-side platforms. IEEE BigData 2016: 3491-3498
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