Publications

Journal

• [J2]. Guangyi Liu, Christoforos Somarakis, and Nader Motee. Risk of Cascading Collisions in Network of Vehicles with Delayed Communication, IEEE-TAC, 2025.

• [J1]. Christoforos Somarakis, Guangyi Liu, and Nader Motee. Risk of Phase Incoherence in Wide Area Control of Synchronous Power Networks, IEEE-TAC, 2023.

Conference Proceedings

• [C14]. Amirhossein Mollaei Khass, Guangyi Liu, Vivek Pandey, Wen Jiang, Boshu Lei, Kostas Daniilidis, Nader Motee Active Next-Best-View Optimization for Risk-Averse Path Planning, ICRA 2026.

• [C13]. Guangyi Liu, Suzan Iloglu, Michael Caldara, Joseph W. Durham, Michael M. Zavlanos. Distributionally Robust Multi-Agent Reinforcement Learning for Dynamic Chute Mapping, ICML 2025.

• [C12]. Guangyi Liu*, Wen Jiang*, Boshu Lei*, Vivek Pandey, Kostas Daniilidis and Nader Motee. (* equal contribution) Beyond Uncertainty: Risk-Aware Active View Acquisition for Safe Robot Navigation and 3D Scene Understanding with FisherRF, (submitting to RAL).

• [C11]. Vivek Pandey*, Arash Amini*, Guangyi Liu, Ufuk Topcu, Qiyu Sun, Kostas Daniilidis, Nader Motee. (* equal contribution) Scalable Networked Feature Selection with Randomized Algorithm for Robot Navigation, IROS 2024.

• [C10]. Guangyi Liu, Arash Amini, Vivek Pandey, and Nader Motee. Data-Driven Distributionally Robust Mitigation of Risk of Cascading Failures. ACC 2024.

• [C9]. Arash Amini, Guangyi Liu, Vivek Pandey, and Nader Motee. Impact of Misperception on Emergence of Risk in Platoon of Autonomous Vehicles. CDC 2023.

• [C8]. Vivek Pandey, Guangyi Liu, Arash Amini, and Nader Motee. Quantification of Distributionally Robust Risk of Cascade of Failures in Platoon of Vehicles. CDC 2023.

• [C7]. Guangyi Liu, Disha Kamale, Cristian-Ioan Vasile, and Nader Motee. Symbolic Perception Risk in Autonomous Driving, ACC 2023.

• [C6]. Guangyi Liu, Vivek Pandey, Christoforos Somarakis, and Nader Motee. Cascading Waves of Fluctuation in Time-delay Multi-agent Rendezvous, ACC 2023.

• [C5]. Guangyi Liu, Christoforos Somarakis, and Nader Motee. Emergence of Cascading Risk and Role of Spatial Locations of Collisions in Time-Delayed Platoon of Vehicles. CDC 2022.

• [C4]. Guangyi Liu, Vivek Pandey, Christoforos Somarakis, and Nader Motee. Risk of Cascading Failures in Multi-agent Rendezvous with Communication Time Delay. ACC 2022.

• [C3]. Guangyi Liu, Christoforos Somarakis, and Nader Motee. Risk of Cascading Failures in Time-Delayed Vehicle Platooning. CDC 2021.

• [C2]. Arash Amini, Guangyi Liu, and Nader Motee. Robust Learning of Recurrent Neural Networks in Presence of Exogenous Noise. CDC 2021.

• [C1]. Guangyi Liu, Arash Amini, Martin Takáč, and Nader Motee. Classification-Aware Path Planning of Network of Robots. DARS 2021.

Preprints

• [P5]. Sikata Sengupta*, Guangyi Liu*, Omer Gottesman, Joseph W Durham, Michael Kearns, Aaron Roth, Michael Caldara. (* equal contribution) Multi-Objective Reinforcement Learning for Large-Scale Tote Allocation in Human-Robot Collaborative Fulfillment Centers.

• [P4]. Guangyi Liu, Arash Amini, and Nader Motee. Risk of Misclassification in Recurrent Neural Networks.

• [P3]. Guangyi Liu, Arash Amini, Martin Takáč, and Nader Motee. Robustness Analysis of Classification Using Recurrent Neural Networks with Perturbed Sequential Input.

• [P2]. Guangyi Liu, Arash Amini, Martin Takáč, Héctor Muñoz-Avila, and Nader Motee. Distributed Map Classification using Local Observations. arXiv preprint arXiv:2012.10480 (2020).

• [P1]. Mousavi, Hossein K., Guangyi Liu, Weihang Yuan, Martin Takáč, Héctor Muñoz-Avila, and Nader Motee. A layered architecture for active perception: Image classification using deep reinforcement learning. arXiv preprint arXiv:1909.09705 (2019).

Talks and Seminars:

• (10/2025) “Distributionally Robust Multi-Agent Reinforcement Learning for Dynamic Chute Mapping” at RGSO-CARS Seminar, University of Delaware.

• (07/2025) “Distributionally Robust Multi-Agent Reinforcement Learning for Dynamic Chute Mapping” at ACC 2025 Workshop: Data-Driven and Risk-Aware Control for Safety-Critical Autonomous Systems.

• (05/2025) “Distributionally Robust Multi-Agent Reinforcement Learning for Dynamic Chute Mapping” at 2nd Northeast Systems and Control Workshop (NESCW).

• (09/2024) “Beyond Uncertainty: Risk-Aware Active View Acquisition for Safe Robot Navigation and 3D Scene Understanding with FisherRF” at NERC 2024.

• (05/2024) “Towards Safe Learning and Perception-based Networked Control Systems: A Risk-aware Approach” at the GRASP seminar at UPenn.

• (10/2023) “Distributionally Robust Mitigation of Cascading Risk in Cooperative and Competitive Vehicle Platooning” at the xLab, UPenn.

• (08/2023) “Risk of Misperception in Decision-Making and Control” on behalf of my advisor Prof. Nader Motee, at the ONR Science of Autonomy Program Review.