Letian Chen

According to our database, Letian Chen authored at least 36 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Spike-PTSD: A Bio-Plausible Adversarial Example Attack on Spiking Neural Networks via PTSD-Inspired Spike Scaling.

Lingxin Jin, Wei Jiang, Maregu Assefa Habtie, Letian Chen, Jinyu Zhan, Xingzhi Zhou, Lin Zuo, Naoufel Werghi

CoRR, April, 2026

Learning Molecular Chirality via Chiral Determinant Kernels.

Runhan Shi, Zhicheng Zhang, Letian Chen, Gufeng Yu, Yang Yang

CoRR, February, 2026

Data poisoning-based backdoor attacks against supervised learning rules of Spiking Neural Networks.

Lingxin Jin, Wei Jiang, Jinyu Zhan, Meiyu Lin, Letian Chen, Boran Quan, Lin Zuo, Xingzhi Zhou, Maregu Assefa Habtie, Naoufel Werghi

J. Syst. Archit., 2026

Teaching the Teacher: Live Foundation Model and Augmented Reality Feedback for Human-to-Robot Skill Transfer.

Nina Marie Moorman, Matthew B. Luebbers, Zhang Xi-Jia, Yee Ching (Marcus) Lau, Yixing Yao, Megan Langwasser, Zulfiqar Zaidi, Letian Chen, Sanne van Waveren, Matthew Gombolay

Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction, 2026

RTMol: Rethinking Molecule-text Alignment in a Round-trip View.

Letian Chen, Runhan Shi, Gufeng Yu, Yang Yang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Reaction Prediction via Interaction Modeling of Symmetric Difference Shingle Sets.

Runhan Shi, Letian Chen, Gufeng Yu, Yang Yang

CoRR, November, 2025

Better Than Diverse Demonstrators: Reward Decomposition From Suboptimal and Heterogeneous Demonstrations.

Chunyue Xue, Letian Chen, Matthew C. Gombolay

IEEE Robotics Autom. Lett., July, 2025

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation.

Yichen Xie, Runsheng Xu, Tong He, Jyh-Jing Hwang, Katie Luo, Jingwei Ji, Hubert Lin, Letian Chen, Yiren Lu, Zhaoqi Leng, Dragomir Anguelov, Mingxing Tan

CoRR, May, 2025

Towards Automated Semantic Interpretability in Reinforcement Learning via Vision-Language Models.

Zhaoxin Li, Zhang Xi-Jia, Batuhan Altundas, Letian Chen, Rohan R. Paleja, Matthew C. Gombolay

CoRR, March, 2025

Learning Multi-Agent Coordination for Replenishment At Sea.

Byeolyi Han, Minwoo Cho, Letian Chen, Rohan R. Paleja, Zixuan Wu, Sean Ye, Esmaeil Seraj, David Sidoti, Matthew C. Gombolay

IEEE Robotics Autom. Lett., February, 2025

Design RNA with Specified Secondary Structures Using CDMs.

Zhenran Xiao, Letian Chen, Yichong Li, Yang Yang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

ELEMENTAL: Interactive Learning from Demonstrations and Vision-Language Models for Reward Design in Robotics.

Letian Chen, Nina Marie Moorman, Matthew Craig Gombolay

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Generalized Behavior Learning from Diverse Demonstrations.

Varshith Sreeramdass, Rohan R. Paleja, Letian Chen, Sanne van Waveren, Matthew C. Gombolay

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation.

Yichen Xie, Runsheng Xu, Tong He, Jyh-Jing Hwang, Katie Luo, Jingwei Ji, Hubert Lin, Letian Chen, Yiren Lu, Zhaoqi Leng, Dragomir Anguelov, Mingxing Tan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

ELEMENTAL: Interactive Learning from Demonstrations and Vision-Language Models for Reward Design in Robotics.

Letian Chen, Matthew C. Gombolay

CoRR, 2024

Faster Model Predictive Control via Self-Supervised Initialization Learning.

Zhaoxin Li, Letian Chen, Rohan R. Paleja, Subramanya Nageshrao, Matthew C. Gombolay

CoRR, 2024

Enhancing Safety in Learning from Demonstration Algorithms via Control Barrier Function Shielding.

Yue Yang, Letian Chen, Zulfiqar Zaidi, Sanne van Waveren, Arjun Krishna, Matthew C. Gombolay

Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2023

Athletic Mobile Manipulator System for Robotic Wheelchair Tennis.

Zulfiqar Zaidi, Daniel Martin, Nathaniel Belles, Viacheslav Zakharov, Arjun Krishna, Kin Man Lee, Peter Wagstaff, Sumedh Naik, Matthew Sklar, Sugju Choi, Yoshiki Kakehi, Ruturaj Patil, Divya Mallemadugula, Florian Pesce, Peter Wilson, Wendell Hom, Matan Diamond, Bryan Zhao, Nina Moorman, Rohan R. Paleja, Letian Chen, Esmaeil Seraj, Matthew C. Gombolay

IEEE Robotics Autom. Lett., April, 2023

Interpretable Reinforcement Learning for Robotics and Continuous Control.

Rohan R. Paleja, Letian Chen, Yaru Niu, Andrew Silva, Zhaoxin Li, Songan Zhang, Chace Ritchie, Sugju Choi, Kimberlee Chestnut Chang, Hongtei Eric Tseng, Yan Wang, Subramanya Nageshrao, Matthew C. Gombolay

CoRR, 2023

Adversarial Search and Track with Multiagent Reinforcement Learning in Sparsely Observable Environment.

Zixuan Wu, Sean Ye, Manisha Natarajan, Letian Chen, Rohan R. Paleja, Matthew C. Gombolay

CoRR, 2023

Adversarial Search and Tracking with Multiagent Reinforcement Learning in Sparsely Observable Environment.

Zixuan Wu, Sean Ye, Manisha Natarajan, Letian Chen, Rohan R. Paleja, Matthew C. Gombolay

Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems, 2023

Learning Models of Adversarial Agent Behavior Under Partial Observability.

Sean Ye, Manisha Natarajan, Zixuan Wu, Rohan R. Paleja, Letian Chen, Matthew C. Gombolay

IROS, 2023

The Effect of Robot Skill Level and Communication in Rapid, Proximate Human-Robot Collaboration.

Kin Man Lee, Arjun Krishna, Zulfiqar Zaidi, Rohan R. Paleja, Letian Chen, Erin Hedlund-Botti, Mariah Schrum, Matthew C. Gombolay

Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

DROID: Learning from Offline Heterogeneous Demonstrations via Reward-Policy Distillation.

Sravan Jayanthi, Letian Chen, Nadya Balabanska, Van Duong, Erik Scarlatescu, Ezra Ameperosa, Zulfiqar Haider Zaidi, Daniel Martin, Taylor Keith Del Matto, Masahiro Ono, Matthew C. Gombolay

Proceedings of the Conference on Robot Learning, 2023

2022

A Hierarchical Coordination Framework for Joint Perception-Action Tasks in Composite Robot Teams.

Esmaeil Seraj, Letian Chen, Matthew C. Gombolay

IEEE Trans. Robotics, 2022

Utilizing Human Feedback for Primitive Optimization in Wheelchair Tennis.

Arjun Krishna, Zulfiqar Zaidi, Letian Chen, Rohan R. Paleja, Esmaeil Seraj, Matthew C. Gombolay

CoRR, 2022

Safe Inverse Reinforcement Learning via Control Barrier Function.

Yue Yang, Letian Chen, Matthew C. Gombolay

CoRR, 2022

Strategy Discovery and Mixture in Lifelong Learning from Heterogeneous Demonstration.

Sravan Jayanthi, Letian Chen, Matthew C. Gombolay

CoRR, 2022

Using machine learning to predict perfusionists' critical decision-making during cardiac surgery.

Roger D. Dias, Marco A. Zenati, Geoffrey Rance, Srey Rithy, David Arney, Letian Chen, Rohan R. Paleja, Lauren R. Kennedy-Metz, Matthew C. Gombolay

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022

Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations.

Letian Chen, Sravan Jayanthi, Rohan R. Paleja, Daniel Martin, Viacheslav Zakharov, Matthew C. Gombolay

Proceedings of the Conference on Robot Learning, 2022

2021

Towards Sample-efficient Apprenticeship Learning from Suboptimal Demonstration.

Letian Chen, Rohan R. Paleja, Matthew C. Gombolay

CoRR, 2021

2020

Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations.

Rohan R. Paleja, Andrew Silva, Letian Chen, Matthew C. Gombolay

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation.

Letian Chen, Rohan R. Paleja, Muyleng Ghuy, Matthew C. Gombolay

Proceedings of the HRI '20: ACM/IEEE International Conference on Human-Robot Interaction, 2020

Learning from Suboptimal Demonstration via Self-Supervised Reward Regression.

Letian Chen, Rohan R. Paleja, Matthew C. Gombolay

Proceedings of the 4th Conference on Robot Learning, 2020

2018

Efficient Model-Free Reinforcement Learning Using Gaussian Process.

Ying Fan, Letian Chen, Yizhou Wang

CoRR, 2018

2017

Optimal patient assignment for W queueing network in a diagnostic facility setting.

Na Geng, Letian Chen, Ran Liu, Yanhong Zhu

Int. J. Prod. Res., 2017