Lame equation and asymptotic higher-order periodic solutions to nonlinear evolution equations. - Guan-Ting Liu (Appl. Math. Comput., 2009)

Quasi-rational function solutions of an elliptic equation and its application to solve some nonlinear evolution equations. - Li-Ying Yang; Guan-Ting Liu (Appl. Math. Comput., 2011)

Emotion-grading online KTV system. - Oscal T.-C. Chen; Guan-Ting Liu; Jhen Jhan Gu; Jen-Yi Pan (ICCE, 2014)

Hand-detection with Transferrable Design for Smart Factories. - Guan-Ting Liu; Ching-Hu Lu; Syu-Huei Huang (ISPACS, 2021)

Generation of multiagent animation for object transportation using deep reinforcement learning and blend-trees. - Shao-Chieh Chen; Guan-Ting Liu; Sai-Keung Wong (Comput. Animat. Virtual Worlds, 2021)

Improving Generalization with Cross-State Behavior Matching in Deep Reinforcement Learning. - Guan-Ting Liu; Guan-Yu Lin; Pu-Jen Cheng (AAMAS, 2022)

Sub-Resolution Assist Feature Generation with Reinforcement Learning and Transfer Learning. - Guan-Ting Liu; Wei-Chen Tai; Yi-Ting Lin; Iris Hui-Ru Jiang; James P. Shiely; Pu-Jen Cheng (ICCAD, 2022)

Generation of cart-pulling animation in a multiagent environment using deep learning. - Chien-Chou Wong; Cheng-En Cai; Hao-Ming Tsai; Guan-Ting Liu; Sai-Keung Wong (Comput. Animat. Virtual Worlds, 2022)

A 10 nA Ultra-Low Quiescent Current and 60 ns Fast Transient Response Low-Dropout Regulator for Internet-of-Things. - Jia-Rui Huang; Yong-Hwa Wen; Tzu-Hsien Yang; Jia-Jyun Lee; Guan-Ting Liu; Ke-Horng Chen; Ying-Hsi Lin; Shian-Ru Lin; Tsung-Yen Tsai (IEEE Trans. Circuits Syst. I Regul. Pap., 2022)

Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs. - Guan-Ting Liu; En-Pei Hu; Pu-Jen Cheng; Hung-Yi Lee; Shao-Hua Sun (ICML, 2023)

Addressing Long-Horizon Tasks by Integrating Program Synthesis and State Machines. - Yu-An Lin; Chen-Tao Lee; Guan-Ting Liu; Pu-Jen Cheng; Shao-Hua Sun (CoRR, 2023)

Hierarchical Programmatic Option Framework. - Yu-An Lin; Chen-Tao Lee; Chih-Han Yang; Guan-Ting Liu; Shao-Hua Sun (NeurIPS, 2024)

Mastering broom-like tools for object transportation animation using deep reinforcement learning. - Guan-Ting Liu; Sai-Keung Wong (Comput. Animat. Virtual Worlds, 2024)

Multi-Corner Timing Macro Modeling With Neural Collaborative Filtering From Recommendation Systems Perspective. - Kevin Kai-Chun Chang; Guan-Ting Liu; Chun-Yao Chiang; Pei-Yu Lee; Iris Hui-Ru Jiang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation. - Chenhui Deng; Yun-Da Tsai; Guan-Ting Liu; Zhongzhi Yu; Haoxing Ren (MLCAD, 2025)