Predicting traffic of online advertising in real-time bidding systems from perspective of demand-side platforms. - Hsu-Chao Lai; Wen-Yueh Shih; Jiun-Long Huang; Yi-Cheng Chen (IEEE BigData, 2016)

On VR Spatial Query for Dual Entangled Worlds. - Shao-Heng Ko; Ying-Chun Lin; Hsu-Chao Lai; Wang-Chien Lee; De-Nian Yang (CIKM, 2019)

Social-Aware VR Configuration Recommendation via Multi-Feedback Coupled Tensor Factorization. - Hsu-Chao Lai; Hong-Han Shuai; De-Nian Yang; Jiun-Long Huang; Wang-Chien Lee; Philip S. Yu (CIKM, 2019)

Live Multi-Streaming and Donation Recommendations via Coupled Donation-Response Tensor Factorization. - Hsu-Chao Lai; Jui-Yi Tsai; Hong-Han Shuai; Jiun-Long Huang; Wang-Chien Lee; De-Nian Yang (CIKM, 2020)

Social Attentive Network for Live Stream Recommendation. - Dung-Ru Yu; Chiao-Chuan Chu; Hsu-Chao Lai; Jiun-Long Huang (WWW (Companion Volume), 2020)

Optimizing Item and Subgroup Configurations for Social-Aware VR Shopping. - Shao-Heng Ko; Hsu-Chao Lai; Hong-Han Shuai; Wang-Chien Lee; Philip S. Yu; De-Nian Yang (Proc. VLDB Endow., 2020)

The Design and Implementation of a Blockchain-Based Logistics Platform for International Trade. - Yen-Yu Chen; Hsu-Chao Lai; Jiun-Long Huang; Ming-Jiu Hwang (APNOMS, 2021)

SPENT+: A Category- and Region-aware Successive POI Recommendation Model. - Hsu-Chao Lai; Yi-Shu Lu; Mu-Fan Wang; Yi-Cheng Chen; Wen-Yueh Shih; Jiun-Long Huang (APNOMS, 2021)

On Detecting Cloud Container Failures from Computing Utility Sequences. - Yu-Shao Liu; Hsu-Chao Lai; Jiun-Long Huang; August F. Y. Chao (APNOMS, 2021)

Spread Movement Prediction for Pairs Trading with High-Frequency Limit Order Data. - Chiu-Hung Su; Hsu-Chao Lai; Wen-Yueh Shih; Jun-Zhe Wang; Jiun-Long Huang (BigComp, 2022)

Structural break-aware pairs trading strategy using deep reinforcement learning. - 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 (J. Supercomput., 2022)

Pairs Trading Strategy Optimization Using Proximal Policy Optimization Algorithms. - Yi-Feng Chen; Wen-Yueh Shih; Hsu-Chao Lai; Hao-Chun Chang; Jiun-Long Huang (BigComp, 2023)

Learning the Co-evolution Process on Live Stream Platforms with Dual Self-attention for Next-topic Recommendations. - Hsu-Chao Lai; Philip S. Yu; Jiun-Long Huang (CIKM, 2023)

A Robust Real Time Bidding Strategy Against Inaccurate CTR Predictions by Using Cluster Expected Win Rate. - Wen-Yueh Shih; Hsu-Chao Lai; Jiun-Long Huang (IEEE Access, 2023)

MoCVAE: Movement Prediction by A Conditional Variational Autoencoder for Doubles Badminton. - Pei-Chieh Sung; Hsu-Chao Lai; Guan-Yi Jhang; Tsì-Uí Ik; Chih-Chuan Wang; Jiun-Long Huang (BigComp, 2024)

A Confidence-Based Power-Efficient Framework for Sleep Stage Classification on Consumer Wearables. - Hsu-Chao Lai; Po-Hsiang Fang; Yi-Ting Wu; Lo Pang-Yun Ting; Kun-Ta Chuang (IEEE Big Data, 2024)

Uncertainty-Aware Critic Augmentation for Hierarchical Multi-Agent EV Charging Control. - Lo Pang-Yun Ting; Ali Senol; Huan-Yang Wang; Hsu-Chao Lai; Kun-Ta Chuang; Huan Liu 001 (CoRR, 2024)

Player Movement Predictions Using Team and Opponent Dynamics for Doubles Badminton. - Pei-Chieh Sung; Hsu-Chao Lai; Ya-Chun Chang; Jhy-Cheng Huang; Jiun-Long Huang (PAKDD (7), 2025)

NEST: A Novel Ensemble Method for Estimating Spatio-Temporal Gait Parameters Using Inertial Measurement Units. - Chih-Chao Hsu; Hsu-Chao Lai; Guan-Yi Jhang; Jiun-Long Huang; Jun-Zhe Wang (J. Artif. Intell. Soft Comput. Res., 2025)

DeCo: Defect-Aware Modeling with Contrasting Matching for Optimizing Task Assignment in Online IC Testing. - Lo Pang-Yun Ting; Yu-Hao Chiang; Yi-Tung Tsai; Hsu-Chao Lai; Kun-Ta Chuang (CoRR, 2025)