Publications

Journal Articles

21.
Guan-Yi Jhang, Jeng-Chung Lien, Hsu-Chao Lai, Jiun-Long Huang (2026). SPAIT: A Novel Movement Forecasting Model with Shot-Based Position-Adaptive Inference Transformer in Badminton. Journal of Big Data.
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20.
Chih-Chao Hsu, Hsu-Chao Lai, Guan-Yi Jhang, Jiun-Long Huang, Jun-Zhe Wang (2025). NEST: A Novel Ensemble Method for Estimating Spatio-Temporal Gait Parameters Using Inertial Measurement Units. J. Artif. Intell. Soft Comput. Res..
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19.
Wen-Yueh Shih, Hsu-Chao Lai, Jiun-Long Huang (2023). A Robust Real Time Bidding Strategy Against Inaccurate CTR Predictions by Using Cluster Expected Win Rate. IEEE Access.
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18.
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 (2022). Structural break-aware pairs trading strategy using deep reinforcement learning. J. Supercomput..
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17.
Shao-Heng Ko, Hsu-Chao Lai, Hong-Han Shuai, Wang-Chien Lee, Philip S. Yu, De-Nian Yang (2020). Optimizing Item and Subgroup Configurations for Social-Aware VR Shopping. Proc. VLDB Endow..
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Conference Papers

16.
Lo Pang-Yun Ting, Ali Senol, Huan-Yang Wang, Hsu-Chao Lai, Kun-Ta Chuang, Huan Liu (2025). Towards Hierarchical Multi-Agent Decision-Making for Uncertainty-Aware EV Charging. 2025 IEEE International Conference on Big Data (BigData).
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15.
Chia-Yu Huang, Hsu-Chao Lai, Yang-Che Sun, Wen-Yueh Shih, Jiun-Long Huang (2025). A Market-Aware Real-Time Bidding Strategy Using Censored Data with Reinforcement Learning in Online Advertising. 2025 IEEE International Conference on Big Data (BigData).
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14.
Lo Pang-Yun Ting, Yu-Hao Chiang, Yi-Tung Tsai, Hsu-Chao Lai, Kun-Ta Chuang (2025). DeCo: Defect-Aware Modeling with Contrasting Matching for Optimizing Task Assignment in Online IC Testing. Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI 2025).
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13.
Pei-Chieh Sung, Hsu-Chao Lai, Ya-Chun Chang, Jhy-Cheng Huang, Jiun-Long Huang (2025). Player Movement Predictions Using Team and Opponent Dynamics for Doubles Badminton. Data Science: Foundations and Applications - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, Australia, June 10-13, 2025, Proceedings, Part VII.
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12.
Pei-Chieh Sung, Hsu-Chao Lai, Guan-Yi Jhang, Tsì-Uí Ik, Chih-Chuan Wang, Jiun-Long Huang (2024). MoCVAE: Movement Prediction by A Conditional Variational Autoencoder for Doubles Badminton. IEEE International Conference on Big Data and Smart Computing, BigComp 2024, Bangkok, Thailand, February 18-21, 2024.
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11.
Hsu-Chao Lai, Po-Hsiang Fang, Yi-Ting Wu, Lo Pang-Yun Ting, Kun-Ta Chuang (2024). A Confidence-Based Power-Efficient Framework for Sleep Stage Classification on Consumer Wearables. IEEE International Conference on Big Data, BigData 2024, Washington, DC, USA, December 15-18, 2024.
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10.
Yi-Feng Chen, Wen-Yueh Shih, Hsu-Chao Lai, Hao-Chun Chang, Jiun-Long Huang (2023). Pairs Trading Strategy Optimization Using Proximal Policy Optimization Algorithms. IEEE International Conference on Big Data and Smart Computing, BigComp 2023, Jeju, Republic of Korea, February 13-16, 2023.
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9.
Hsu-Chao Lai, Philip S. Yu, Jiun-Long Huang (2023). Learning the Co-evolution Process on Live Stream Platforms with Dual Self-attention for Next-topic Recommendations. Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023.
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8.
Chiu-Hung Su, Hsu-Chao Lai, Wen-Yueh Shih, Jun-Zhe Wang, Jiun-Long Huang (2022). Spread Movement Prediction for Pairs Trading with High-Frequency Limit Order Data. IEEE International Conference on Big Data and Smart Computing, BigComp 2022, Daegu, Korea, Republic of, January 17-20, 2022.
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7.
Yen-Yu Chen, Hsu-Chao Lai, Jiun-Long Huang, Ming-Jiu Hwang (2021). The Design and Implementation of a Blockchain-Based Logistics Platform for International Trade. 22nd Asia-Pacific Network Operations and Management Symposium, APNOMS 2021, Tainan, Taiwan, September 8-10, 2021.
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6.
Hsu-Chao Lai, Yi-Shu Lu, Mu-Fan Wang, Yi-Cheng Chen, Wen-Yueh Shih, Jiun-Long Huang (2021). SPENT(^mbox+): A Category- and Region-aware Successive POI Recommendation Model. 22nd Asia-Pacific Network Operations and Management Symposium, APNOMS 2021, Tainan, Taiwan, September 8-10, 2021.
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5.
Dung-Ru Yu, Chiao-Chuan Chu, Hsu-Chao Lai, Jiun-Long Huang (2020). Social Attentive Network for Live Stream Recommendation. Companion of The 2020 Web Conference 2020, Taipei, Taiwan, April 20-24, 2020.
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4.
Hsu-Chao Lai, Jui-Yi Tsai, Hong-Han Shuai, Jiun-Long Huang, Wang-Chien Lee, De-Nian Yang (2020). Live Multi-Streaming and Donation Recommendations via Coupled Donation-Response Tensor Factorization. CIKM ‘20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020.
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3.
Hsu-Chao Lai, Hong-Han Shuai, De-Nian Yang, Jiun-Long Huang, Wang-Chien Lee, Philip S. Yu (2019). Social-Aware VR Configuration Recommendation via Multi-Feedback Coupled Tensor Factorization. Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019.
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2.
Shao-Heng Ko, Ying-Chun Lin, Hsu-Chao Lai, Wang-Chien Lee, De-Nian Yang (2019). On VR Spatial Query for Dual Entangled Worlds. Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019.
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1.
Hsu-Chao Lai, Wen-Yueh Shih, Jiun-Long Huang, Yi-Cheng Chen (2016). Predicting traffic of online advertising in real-time bidding systems from perspective of demand-side platforms. 2016 IEEE International Conference on Big Data (IEEE BigData 2016), Washington DC, USA, December 5-8, 2016.
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