Scholar
Zikang Xiong
Google Scholar ID: H-EoAgYAAAAJ
PhD Candidate, Purdue University
Citations & Impact
Citations
227
H-index
8
i10-index
5
Publications
17
Co-authors
3
list available
Publications
Resume (English only)
Academic Achievements
- 1. SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models Accepted by ICRA (Best Paper Finalist)
- 2. FLoRA: A Framework for Learning Scoring Rules in Autonomous Driving Planning Systems Accepted by RAL
- 3. 'Scaling Safe Multi-Agent Control for Signal Temporal Logic Specifications' got accepted by CORL 24'
- 4. Manipulating Neural Path Planners via Slight Perturbations got accepted by RAL
- 5. DSCRL got accepted by ICRA 24'
Research Experience
- Work as an MLE at DeepRoute.ai, focusing on autonomous agent prediction and planning, RL self-play smart agents, and RL post-training for autonomous vehicles deployed at scale.
Education
- Earned my Ph.D. in Computer Science at Purdue University, where I worked under the guidance of Suresh Jagannathan. During my Ph.D., I primarily focused on developing robust and reliable autonomous agents. Leveraging reinforcement learning, LLM, and end-to-end planning, underpinned by rigorous formal specifications, to ensure the reliability and performance of autonomous agents’ decision-making processes.
Background
- Generally interested in building reliable and capable autonomous (driving) systems. Currently, I work as an MLE at DeepRoute.ai, where I focus on autonomous agent prediction and planning, RL self-play smart agents, and RL post-training for autonomous vehicles deployed at scale.
