Chien-Wen Sun

I am a Ph.D. Candidate at the Chaotic Systems and Signal Processing Laboratory (CSSP Lab.) at National Yang Ming Chiao Tung University (NYCU), Taiwan. My research focuses on developing cognitively-inspired AI systems with memory interpretability and consolidation capabilities for autonomous driving applications. Representative papers are highlighted below.

Bio: Chien-Wen received the M.S. degree in Electronic Engineering from Feng Chia University (FCU), Taichung, Taiwan, in 2023. He is currently a Ph.D. candidate at the Institute of Electrical and Control Engineering, National Yang Ming Chiao Tung University (NYCU), where he is advised by Prof. Wu. He is co-advised by Prof. Lin of the Department of Automatic Control Engineering, FCU. Notably, he received the Innovation Award at the Autonomous Grand Challenge 2025 (ICCV Phase), standing out among 19+ participating teams from both industry (e.g., Nvidia, Bosch, Xiaomi) and academia. His current research interests include fuzzy systems, reinforcement learning, cognitive architectures, trajectory planning, and generative AI.

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Publications

TIP-C²: A Training-Free Interpretable Module for Generation Error Detection via Principal Component Analysis and Conditional Mutual Information
Chang-Hsin Lee, Chih-Wei Tseng, Chien-Wen Sun, Bing-Fei Wu*
Submitted to International Conference on Machine Learning (ICML), 2026
Abs /

@inproceedings{Lee2026ICML, 
	author = {Chang-Hsin Lee and Chih-Wei Tseng and Chien-Wen Sun and Bing-Fei Wu}, 
	title = {TIP-C²: A Training-Free Interpretable Module for Generation Error Detection via Principal Component Analysis and Conditional Mutual Information}, 
	booktitle = {Submitted to International Conference on Machine Learning (ICML)}, 
	year = {2026}, 
}

CoSMIC: Cognitively-Inspiration System with Memory Interpretability and Consolidation for Trajectory Planning in Autonomous Driving (Innovation Award in NVASIM v2 at ICCV 2025)
Chien-Wen Sun, Chih-Wei Tseng, Yu-Chen Lin*, Bing-Fei Wu
Submitted to IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2026
Abs /

@article{Sun2026TITS, 
	author = {Chien-Wen Sun and Chih-Wei Tseng and Yu-Chen Lin and Bing-Fei Wu}, 
	title = {CoSMIC: Cognitively-Inspiration System with Memory Interpretability and Consolidation for Trajectory Planning in Autonomous Driving}, 
	booktitle = {Submitted to IEEE Transactions on Intelligent Transportation Systems (T-ITS)}, 
	year = {2026}, 
}

Risk-Constrained Hierarchical Reinforcement Learning for Safe Decision-Making and Control in Autonomous Driving
Jhan-Yu Liao, Chien-Wen Sun, Yu-Chen Lin*, Ting-Jia Yeh
Submitted to IEEE International Conference on Control, Decision and Information Technologies (CoDIT), 2026
Abs /

@inproceedings{Liao2026CoDIT, 
	author = {Jhan-Yu Liao and Chien-Wen Sun and Yu-Chen Lin and Ting-Jia Yeh}, 
	title = {Risk-Constrained Hierarchical Reinforcement Learning for Safe Decision-Making and Control in Autonomous Driving}, 
	booktitle = {Submitted to IEEE International Conference on Control, Decision and Information Technologies (CoDIT)}, 
	year = {2026}, 
}

An Adaptive Semi-Active Suspension System for Design of Vehicle Stability Control System
Yu-Chen Lin*, Chien-Wen Sun, Bo-Han Lyu, Ting-Jia Yeh
IEEE International Conference on Intelligent Transportation Systems (ITSC), 2023
Abs /

@inproceedings{Lin2023ITSC, 
	author = {Yu-Chen Lin and Chien-Wen Sun and Bo-Han Lyu and Ting-Jia Yeh}, 
	title = {An Adaptive Semi-Active Suspension System for Design of Vehicle Stability Control System}, 
	booktitle = {IEEE International Conference on Intelligent Transportation Systems (ITSC)}, 
	year = {2023}, 
}

Intelligent contact force regulation of pantograph--catenary based on novel type-reduction technology
Tsung-Chih Lin, Chien-Wen Sun, Yu-Chen Lin*, Majid Zirkohi
Electronics, 2022
Abs /

@article{Lin2022MDPI, 
	author = {Tsung-Chih Lin and Chien-Wen Sun and Yu-Chen Lin and Majid Zirkohi}, 
	title = {Intelligent contact force regulation of pantograph--catenary based on novel type-reduction technology}, 
	booktitle = {Electronics}, 
	year = {2022}, 
}