Encoding protein dynamic information in graph representation for functional residue identification. - Yuan Chiang; Wei-Han Hui; Shu-Wei Chang (CoRR, 2021)

High-Dimensional Phase Space Reconstruction with a Convolutional Neural Network for Structural Health Monitoring. - Yen-Lin Chen; Yuan Chiang; Pei-Hsin Chiu; I-Chen Huang; Yu-Bai Xiao; Shu-Wei Chang; Chang-Wei Huang (Sensors, 2021)

ImageMech: From image to particle spring network for mechanical characterization. - Yuan Chiang; Ting-Wai Chiu; Shu-Wei Chang (CoRR, 2022)

DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization. - Wenze Chen; Shiyu Huang 001; Yuan Chiang; Ting Chen 006; Jun Zhu 001 (AAMAS, 2023)

DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization. - Wentse Chen; Shiyu Huang 001; Yuan Chiang; Tim Pearce; Wei-Wei Tu; Ting Chen 006; Jun Zhu 001 (AAAI, 2024)

LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation. - Yuan Chiang; Chia-Hong Chou; Janosh Riebesell (CoRR, 2024)

Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry. - Yoel Zimmermann; Adib Bazgir; Zartashia Afzal; Fariha Agbere; Qianxiang Ai; Nawaf Alampara; Alexander Al-Feghali; Mehrad Ansari; Dmytro Antypov; Amro Aswad; Jiaru Bai; Viktoriia Baibakova; et al. (CoRR, 2024)

34 Examples of LLM Applications in Materials Science and Chemistry: Towards Automation, Assistants, Agents, and Accelerated Scientific Discovery. - Yoel Zimmermann; Adib Bazgir; Alexander Al-Feghali; Mehrad Ansari; Joshua D. Bocarsly; L. Catherine Brinson; Yuan Chiang; Defne Circi; Min-Hsueh Chiu; Nathan Daelman; Matthew L. Evans; Abhijeet Sadashiv Gangan; et al. (CoRR, 2025)

Developing picking route policies with genetic algorithms and order batching with deep neural networks in picker to part warehouses. - Ming-Feng Yang; Ming-Hung Wu; Sheng-Long Kao; Yuan Chiang; Jeng-Chung Chen; Jen-Chieh Wang; Jun-Yuan Kuo; Kaiwei Fu (Enterp. Inf. Syst., 2025)