Rongqian Chen
Rongqian Chen

PhD Candidate

About Me

I’m a PhD candidate at GWU started in Fall 2024, supervised by Dr. Tian Lan. My research directions include AI, robotics and AR/VR technology.

I have interdisciplinary research experience in Robotics, Agentic AI, Mixed Reality and Electrical Systems. My past works and publications span bio-inspired robotics design, agentic AI, human-robot teamming, mixed reality systems and so on.

Looking ahead, I am interested in developing intelligent systems that can perceive, reason, and act in complex physical environments and automate multiple challenging tasks. I believe these AI and robotics have the power to transform lives in profound ways.

Interests
  • Agentic AI
  • Reinforcement Learning
  • Robotics
  • Extended Reality
Education
  • PhD Electrical Engineering

    George Washington University

  • MSc Electrical Engineering

    University of Pennsylvania

  • BEng Automation

    Southwest Jiaotong University

News
Publications
PDAGENT-BENCH: Characterizing, Grounding, and Architecting LLM/VLM Agents for VLSI Physical Design

PDAGENT-BENCH: Characterizing, Grounding, and Architecting LLM/VLM Agents for VLSI Physical Design

Qiufeng Li, Rongqian Chen, Quan Cheng, Chengxuan Wang, Sizhe Tang, Chia-Tung Ho, David Z. Pan, Tian Lan, Weidong Cao
arXiv preprint
IntentScore: Intent-Conditioned Action Evaluation for Computer-Use Agents

IntentScore: Intent-Conditioned Action Evaluation for Computer-Use Agents

Rongqian Chen, Yu Li, Zeyu Fang, Sizhe Tang, Weidong Cao, Tian Lan
arXiv preprint
Uncertainty Mitigation and Intent Inference: A Dual-Mode Human-Machine Joint Planning System

Uncertainty Mitigation and Intent Inference: A Dual-Mode Human-Machine Joint Planning System

Zeyu Fang, Yuxin Lin, Cheng Liu, Beomyeol Yu, Zeyuan Yang, Rongqian Chen, Taeyoung Lee, Mahdi Imani, Tian Lan
arXiv preprint
FlowEdit: Information-Theoretic Control of LLM Reasoning Flows for Ill-posed Problems Involving Conflicts

FlowEdit: Information-Theoretic Control of LLM Reasoning Flows for Ill-posed Problems Involving Conflicts

Sizhe Tang, Guangyu Jiang, Yu Li, Rongqian Chen, Ioannis G. Kevrekidis, Tian Lan
arXiv preprint
Reasoning Knowledge-Gap in Drone Planning via LLM-based Active Elicitation

Reasoning Knowledge-Gap in Drone Planning via LLM-based Active Elicitation

Zeyu Fang, Beomyeol Yu, Cheng Liu, Zeyuan Yang, Rongqian Chen, Yuxin Lin, Mahdi Imani, Tian Lan
AAAI 2026 Spring Symposium (Accepted)
Agent Alpha: Tree Search Unifying Generation, Exploration and Evaluation for Computer-Use Agents

Agent Alpha: Tree Search Unifying Generation, Exploration and Evaluation for Computer-Use Agents

Sizhe Tang, Rongqian Chen, Tian Lan
2026 Conference on Language Modeling (COLM) (Accepted)
ACDZero: Graph-Embedding-Based Tree Search for Mastering Automated Cyber Defense

ACDZero: Graph-Embedding-Based Tree Search for Mastering Automated Cyber Defense

Yu Li, Sizhe Tang, Rongqian Chen, Fei Xu Yu, Guangyu Jiang, Mahdi Imani, Nathaniel D Bastian, Tian Lan
2026 IEEE International Conference on Computer Communications (INFOCOM) Workshop (Accepted)
Perception Graph for Cognitive Attack Reasoning in Augmented Reality

Perception Graph for Cognitive Attack Reasoning in Augmented Reality

Rongqian Chen, Shu Hong, Rifatul Islam, Mahdi Imani, Gang Tan, Tian Lan
2025 ACM International Symposium on Mobile Ad Hoc Networking and Computing Workshop (MobiHoc)
Time-Aware LSTM for Gaze Prediction in Mixed Reality Under Latency Perturbations

Time-Aware LSTM for Gaze Prediction in Mixed Reality Under Latency Perturbations

Shu Hong, Rongqian Chen, Rifatul Islam, Mahdi Imani, Gang Tan, Tian Lan
2025 ACM International Symposium on Mobile Ad Hoc Networking and Computing Workshop (MobiHoc) (Best Poster Award)
A Neurosymbolic Framework for Interpretable Cognitive Attack Detection in Augmented Reality

A Neurosymbolic Framework for Interpretable Cognitive Attack Detection in Augmented Reality

Rongqian Chen, Allison Andreyev, Yanming Xiu, Mahdi Imani, Bin Li, Maria Gorlatova, Gang Tan, Tian Lan
Accepted by 2026 IEEE/CVF Conference on Computer Vision & Pattern Recognition (CVPR) Findings
Tunable Leg Stiffness in a Monopedal Hopper for Energy-Efficient Vertical Hopping Across Varying Ground Profiles

Tunable Leg Stiffness in a Monopedal Hopper for Energy-Efficient Vertical Hopping Across Varying Ground Profiles

Rongqian Chen, Jun Kwon, Kefan Wu, Wei-Hsi Chen
2025 IEEE International Conference on Robotics and Automation (ICRA)
Design and Characterization of a Pneumatic Tunable-Stiffness Bellows Actuator

Design and Characterization of a Pneumatic Tunable-Stiffness Bellows Actuator

Rongqian Chen, Jun Kwon, Wei-Hsi Chen, Cynthia Sung
2024 IEEE International Conference on Soft Robotics (RoboSoft)
Design and Control of a Tunable-Stiffness Coiled-Spring Actuator

Design and Control of a Tunable-Stiffness Coiled-Spring Actuator

Shivangi Misra, Mason Mitchell, Rongqian Chen, Cynthia Sung
2023 IEEE International Conference on Robotics and Automation (ICRA)
A Cluster-Based Weighted Feature Similarity Moving Target Tracking Algorithm for Automotive FMCW Radar

A Cluster-Based Weighted Feature Similarity Moving Target Tracking Algorithm for Automotive FMCW Radar

Rongqian Chen, Yingquan Zou, Anyong Gao, Leshi Chen
2022-Spring IEEE Vehicular Technology Conference (VTC)
Stability improvement of pulse power supply with dual-inductance active storage unit using hysteresis current control

Stability improvement of pulse power supply with dual-inductance active storage unit using hysteresis current control

Ping Yang, Xi Chen, Rongqian Chen, Yusheng Peng, Songrong Wu, Jianping Xu
IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS)
Projects
Notes