Last updated: 04/2026.  * indicates equal contribution; † indicates equal advising.

For the most up-to-date list, please see my Google Scholar.

Conference Papers

• Time-aware Motion Planning in Dynamic Environments with Conformal Prediction
  Kaier Liang, Licheng Luo, Yixuan Wang, Mingyu Cai, Cristian Ioan Vasile
  Learning for Dynamics and Control (L4DC), 2026.   Oral Presentation.

Preprints

• Parallel Monitoring of Differentiable Spatio-Temporal Logic for Robot Manipulation
  Licheng Luo, Kaier Liang, Cristian Ioan Vasile, Mingyu Cai
  Manuscript on arXiv, 2026.

• Differentiable SpaTiaL: Symbolic Learning and Reasoning with Geometric Temporal Logic for Manipulation Tasks
  Licheng Luo, Kaier Liang, Cristian Ioan Vasile, Mingyu Cai
  Manuscript, 2026.

• NL2SpaTiaL: Generating Geometric Spatio-Temporal Logic Specifications from Natural Language for Manipulation Tasks
  Licheng Luo, Yu Xia, Kaier Liang, Mingyu Cai
  Manuscript, 2026.

• Bridging Deep Reinforcement Learning and Motion Planning for Model-Free Navigation in Cluttered Environments
  Licheng Luo, Mingyu Cai
  Manuscript on arXiv, 2025.

• Deadlock-Free Hybrid RL-MAPF Framework for Zero-Shot Multi-Robot Navigation
  Haoyi Wang, Licheng Luo, Yiannis Kantaros, Bruno Sinopoli, Mingyu Cai
  Manuscript on arXiv, 2025.

Journal Papers

• Studying Pulmonary Fibrosis Due to Microbial Infection via Automated Microscopic Image Analysis
  Yajie Chen*, Henghui He*, Licheng Luo*, Kangyi Liu, Min Jiang, Shuping Li, Xiantao Zhang, Xin Yang†, Qian Liu†
  Frontiers in Microbiology, 2023.

Thesis

• Policy Optimization in Robust Markov Decision Processes with Transition Gradient Theorem
  Licheng Luo
  Master’s Thesis, University of Virginia, 2024.

Other Writing Samples

• Reinforcement Learning with Non-human Feedback
  Licheng Luo, Kefan Song, Ye Ma
  ML Symposium of UVA, 2024.