71 citations · 212 across the 18 of their papers we have counts for
7 papers · 1 filter
Urban Radiance Fields
Konstantinos Rematas, Andrew Liu, Pratul P. Srinivasan +4
The goal of this work is to perform 3D reconstruction and novel view synthesis from data captured by scanning platforms commonly deployed for world mapping in urban outdoor environ…
Information-Theoretic Limits of Integrated Sensing and Communication with Correlated Sensing and Channel States for Vehicular Networks
Yao Liu, Min Li, An Liu +2
In connected vehicular networks, it is vital to have vehicular nodes that are capable of sensing about surrounding environments and exchanging messages with each other for automati…
Successive Convex Approximation Based Off-Policy Optimization for Constrained Reinforcement Learning
Chang Tian, An Liu, Guang Huang +1
We propose a successive convex approximation based off-policy optimization (SCAOPO) algorithm to solve the general constrained reinforcement learning problem, which is formulated a…
Two-Stage Stochastic Optimization via Primal-Dual Decomposition and Deep Unrolling
An Liu, Rui Yang, Tony Q. S. Quek +1
We consider a two-stage stochastic optimization problem, in which a long-term optimization variable is coupled with a set of short-term optimization variables in both objective and…
A Survey on Fundamental Limits of Integrated Sensing and Communication
An Liu, Zhe Huang, Min Li +10
The integrated sensing and communication (ISAC), in which the sensing and communication share the same frequency band and hardware, has emerged as a key technology in future wirele…
Data-driven Actuator Selection for Artificial Muscle-Powered Robots
Taylor West Henderson, Yuheng Zhi, Angela Liu +1
Even though artificial muscles have gained popularity due to their compliant, flexible, and compact properties, there currently does not exist an easy way of making informed decisi…
Automated Backend-Aware Post-Training Quantization
Ziheng Jiang, Animesh Jain, Andrew Liu +4
Quantization is a key technique to reduce the resource requirement and improve the performance of neural network deployment. However, different hardware backends such as x86 CPU, N…