| 2026 | ISIT | Active Nonparametric Two-Sample Testing by Betting on Heterogeneous Data Sources. | Chia-Yu Hsu, Shubhanshu Shekhar |
| 2026 | LAK | Cyclic Adaptive Private Synthesis for Sharing Real-World Data in Education. | Hibiki Ito, Chia-Yu Hsu, Hiroaki Ogata |
| 2024 | ICCE | Extraction of Important Characteristics for Data-Informed Guidance and Counseling from Daily Usage Log Data. | Junya Atake, Chia-Yu Hsu, Izumi Horikoshi, Hiroaki Ogata |
| 2024 | ICCE | Comparison of Learners' Self-Direction Behavior Across Contexts and Phases. | Junya Atake, Chia-Yu Hsu, Huiyong Li, Izumi Horikoshi, Rwitajit Majumdar, Hiroaki Ogata |
| 2024 | ICCE | Designing Recommendations for Productive Learning Habit-Building from Learning Logs. | Chia-Yu Hsu, Izumi Horikoshi, Huiyong Li, Rwitajit Majumdar, Hiroaki Ogata |
| 2024 | ICCE | Classifying Self-Reflection Notes: Automation Approaches for GOAL System. | Zixu Wang, Chia-Yu Hsu, Izumi Hirokoshi, Huiyong Li, Rwitajit Majumdar, Hiroaki Ogata |
| 2024 | ISIT | On the Optimal Tradeoffs among Error Exponents in Active Sequential Multiple Hypothesis Testing. | Chia-Yu Hsu, I-Hsiang Wang |
| 2023 | ICCE | Extraction of Characteristic Answering Behavior Using Handwritten Log Data. | Junya Atake, Taito Kano, Kohei Nakamura, Chia-Yu Hsu, Izumi Horikoshi, Hiroaki Ogata |
| 2023 | ICCE | Learning Habits Mining and Data-driven Support of Building Habits in Education. | Chia-Yu Hsu, Izumi Horikoshi, Rwitajit Majumdar, Hiroaki Ogata |
| 2023 | ICCE | Chronotypes of Learning Habits in Weekly Math Learning of Junior High School. | Chia-Yu Hsu, Mandukhai Otgonbaatar, Izumi Horikoshi, Huiyong Li, Rwitajit Majumdar, Hiroaki Ogata |
| 2022 | AIED | Extensive Reading at Home: Extracting Self-directed Reading Habits from Learning Logs. | Chia-Yu Hsu, Rwitajit Majumdar, Huiyong Li, Yuanyuan Yang, Hiroaki Ogata |
| 2022 | ICCE | Extracting Students' Self-Regulation Strategies in an Online Extensive Reading Environment using the Experience API (xAPI). | Chia-Yu Hsu, Izumi Horikoshi, Huiyong Li, Rwitajit Majumdar, Hiroaki Ogata |
| 2022 | ITW | On Universal Sequential Classification from Sequentially Observed Empirical Statistics. | Chia-Yu Hsu, Ching-Fang Li, I-Hsiang Wang |
| 2020 | BMVC | Learning from Counting: Leveraging Temporal Classification for Weakly Supervised Object Localization and Detection. | Chia-Yu Hsu, Wenwen Li |
| 2020 | HCI | Designing and Developing a Sandbox-Style Tangible AR for Geoscience Learning. | Chia-Yu Hsu, Weijane Lin, Hsiu-Ping Yueh |
| 2019 | APNOMS | QoS-guaranteed User Association and Resource Allocation with CoMP JT in Ultra-Dense Networks. | Wei Kuang Lai, Chia-Yu Hsu, Yu-Po Kuo |
| 2018 | HCI | A Personal Emotion-Based Recipe Recommendation Mobile Social Platform: Mood Canteen. | Tsai-Hsuan Tsai, Hsien-Tsung Chang, Chia-Yu Hsu, Shu-Yu Lin, Wei-Cheng Yan, Yi-Cheng Chen |
| 2014 | SMC | Design and implementation of semi-dynamic multi-channel transceiver in WSNs. | Lin-Huang Chang, Chia-Yu Hsu, H. F. Chang, Tsung-Han Lee |
| 2011 | WSC | Manufacturing intelligence for determining machine subgroups to enhance yield in semiconductor manufacturning. | Chen-Fu Chien, Ying-Jen Chen, Chia-Yu Hsu, Yi-Hao Yeh |
| 2008 | SMC | Neurocontroller design and stability analysis for antilock braking systems. | Chun-Fei Hsu, Tsu-Tian Lee, Chia-Yu Hsu, Chih-Min Lin |