4 citations · 10 across the 21 of their papers we have counts for
Showing eess.SYShow all
3 papers · 1 filter
eess.SY2026
TetraRL: A Self-Adaptive Runtime for On-Device Deep Reinforcement Learning Systems
Zexin Li, Soheil Shirvani, Cong Liu
Autonomous robotic systems, including autonomous vehicles, drones, and mobile robots, increasingly rely on on-device Deep Reinforcement Learning (DRL) to adapt to dynamic environme…
eess.SY2026
Orion: Enabling Self-adaptive Memory Management for On-device Online Continual Learning
Zexin Li, Nikil Dutt, Cong Liu
Online continual learning (OCL) enables real-time adaptation to new data, making it crucial for dynamic robotic applications. However, its practical deployment is hindered by memor…
eess.SY2024★ 4 cited
BOXR: Body and head motion Optimization framework for eXtended Reality
Ziliang Zhang, Zexin Li, Hyoseung Kim +1
The emergence of standalone XR systems has enhanced user mobility, accommodating both subtle, frequent head motions and substantial, less frequent body motions. However, the pervas…