Publications

Last updated: September 11, 2026

Journal Articles

25.
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.
DOI PDF arXiv
24.
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..
DOI PDF arXiv
23.
Anton P. J. Stampfl, Zhongdong Liu, Jun Hu, Kei Sawada, H. Takano, Yoshiki Kohmura, Tetsuya Ishikawa, Jae-Hong Lim, Jung-Ho Je, Chian-Ming Low, Alvin Teo, Eng Soon Tok, Tin Wee Tan, Kenneth Ban, Camilo Libedinsky, Francis Chee Kuan Tan, Kuan-Peng Chen, An-Cheng Yang, Chao-Chun Chuang, Nan-Yow Chen, Chi-Tin Shih, Ting-Kuo Lee, De-Nian Yang, Hsu-Chao Lai, Hong-Han Shuai, Chang-Chieh Cheng, Yu-Tai Ching, Chia-Wei Li, Ching-Che Charng, Chung-Chuan Lo, Ann-Shyn Chiang, Benoit Recur, Cyril Petibois, Chia-Liang Cheng, Hsiang-Hsin Chen, Shun-Min Yang, Yeukuang Hwu, Catleya Rojviriya, Supagorn Rugmai, Saroj Rujirawat, Giorgio Margaritondo (2023). SYNAPSE: An International Roadmap to Large Brain Imaging. Physics Reports.
DOI PDF arXiv
22.
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.
DOI PDF arXiv
21.
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..
DOI PDF arXiv
20.
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..
DOI PDF arXiv

Conference Papers

19.
Guan-Yi Jhang, Jeng-Chung Lien, Hui-Ching Yu, Hsu-Chao Lai, Jiun-Long Huang (2026). TRIDENT: Cross-Domain Trajectory Spatio-Temporal Representation via Distance-Preserving Triplet Learning. ICLR 2026.
DOI PDF arXiv
18.
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).
DOI PDF arXiv
17.
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).
DOI PDF arXiv
16.
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).
DOI PDF arXiv
15.
Ching-Ya Huang, Hsu-Chao Lai, Jiun-Long Huang, Tsung-Che Tsai, Ching-Po Cho, Chu-Chuan Lee (2025). A Lightweight Peak Value Prediction Model for Time Series Data. Ubi-Media / I-SPAN 2025.
DOI PDF arXiv
14.
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.
DOI PDF arXiv
13.
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.
DOI PDF arXiv
12.
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.
DOI PDF arXiv
11.
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.
DOI PDF arXiv
10.
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.
DOI PDF arXiv
9.
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.
DOI PDF arXiv
8.
Yu-Shao Liu, Hsu-Chao Lai, Jiun-Long Huang, August F. Y. Chao (2021). On Detecting Cloud Container Failures from Computing Utility Sequences. APNOMS 2021.
DOI PDF arXiv
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.
DOI PDF arXiv
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.
DOI PDF arXiv
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.
DOI PDF arXiv
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.
DOI PDF arXiv
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.
DOI PDF arXiv
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.
DOI PDF arXiv
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.
DOI PDF arXiv