A Layered Architecture for Active Perception: Image Classification using Deep Reinforcement Learning. - Hossein K. Mousavi; Guangyi Liu 004; Weihang Yuan; Martin Takác 001; Héctor Muñoz-Avila; Nader Motee (CoRR, 2019)

Reinforcement Learning based Multi-Robot Classification via Scalable Communication Structure. - Guangyi Liu 004; Arash Amini; Martin Takác 001; Héctor Muñoz-Avila; Nader Motee (CoRR, 2020)

Robust Learning of Recurrent Neural Networks in Presence of Exogenous Noise. - Arash Amini; Guangyi Liu 004; Nader Motee (CDC, 2021)

Risk of Cascading Failures in Time-Delayed Vehicle Platooning*. - Guangyi Liu 004; Christoforos Somarakis; Nader Motee (CDC, 2021)

Classification-Aware Path Planning of Network of Robots. - Guangyi Liu 004; Arash Amini; Martin Takác 001; Nader Motee (DARS, 2021)

Risk of Cascading Failures in Time-Delayed Vehicle Platooning. - Guangyi Liu 004; Christoforos Somarakis; Nader Motee (CoRR, 2021)

Risk of Phase Incoherence in Wide Area Control of Synchronous Power Networks. - Christoforos Somarakis; Guangyi Liu 004; Nader Motee (CoRR, 2021)

Risk of Cascading Failures in Platoon of Autonomous Vehicles with Delayed Communication. - Guangyi Liu 004; Christoforos Somarakis; Nader Motee (CoRR, 2021)

Risk of Cascading Failures in Multi-agent Rendezvous with Communication Time Delay. - Guangyi Liu 004; Vivek Pandey; Christoforos Somarakis; Nader Motee (ACC, 2022)

Emergence of Cascading Risk and Role of Spatial Locations of Collisions in Time-Delayed Platoon of Vehicles. - Guangyi Liu 004; Christoforos Somarakis; Nader Motee (CDC, 2022)

Robustness Analysis of Classification Using Recurrent Neural Networks with Perturbed Sequential Input. - Guangyi Liu 004; Arash Amini; Martin Takác 001; Nader Motee (CoRR, 2022)

Symbolic Perception Risk in Autonomous Driving. - Guangyi Liu 004; Disha Kamale; Cristian-Ioan Vasile; Nader Motee (ACC, 2023)

Cascading Waves of Fluctuation in Time-delay Multi-agent Rendezvous. - Guangyi Liu 004; Vivek Pandey; Christoforos Somarakis; Nader Motee (ACC, 2023)

Impact of Misperception on Emergence of Risk in Platoon of Autonomous Vehicles. - Arash Amini; Guangyi Liu 004; Vivek Pandey; Nader Motee (CDC, 2023)

Quantification of Distributionally Robust Risk of Cascade of Failures in Platoon of Vehicles. - Vivek Pandey; Guangyi Liu 004; Arash Amini; Nader Motee (CDC, 2023)

Risk of Cascading Collisions in Network of Vehicles with Delayed Communication. - Guangyi Liu 004; Christoforos Somarakis; Nader Motee (CoRR, 2023)

Risk of Phase Incoherence in Wide Area Control of Synchronous Power Networks With Time-Delayed and Corrupted Measurements. - Christoforos Somarakis; Guangyi Liu 004; Nader Motee (IEEE Trans. Autom. Control., 2023)

Data-Driven Distributionally Robust Mitigation of Risk of Cascading Failures. - Guangyi Liu 004; Arash Amini; Vivek Pandey; Nader Motee (ACC, 2024)

Scalable Networked Feature Selection with Randomized Algorithm for Robot Navigation. - Vivek Pandey; Arash Amini; Guangyi Liu 004; Ufuk Topcu; Qiyu Sun; Kostas Daniilidis; Nader Motee (IROS, 2024)

Beyond Uncertainty: Risk-Aware Active View Acquisition for Safe Robot Navigation and 3D Scene Understanding with FisherRF. - Guangyi Liu 004; Wen Jiang 008; Boshu Lei; Vivek Pandey; Kostas Daniilidis; Nader Motee (CoRR, 2024)