71 citations · 212 across the 18 of their papers we have counts for
20 papers
Successive Linear Approximation VBI for Joint Sparse Signal Recovery and Dynamic Grid Parameters Estimation
Wenkang Xu, An Liu, Bingpeng Zhou +1
For many practical applications in wireless communications, we need to recover a structured sparse signal from a linear observation model with dynamic grid parameters in the sensin…
Snowman: A Million-scale Chinese Commonsense Knowledge Graph Distilled from Foundation Model
Jiaan Wang, Jianfeng Qu, Yunlong Liang +4
Constructing commonsense knowledge graphs (CKGs) has attracted wide research attention due to its significant importance in cognitive intelligence. Nevertheless, existing CKGs are…
A Single-Loop Deep Actor-Critic Algorithm for Constrained Reinforcement Learning with Provable Convergence
Kexuan Wang, An Liu, Baishuo Lin
Deep Actor-Critic algorithms, which combine Actor-Critic with deep neural network (DNN), have been among the most prevalent reinforcement learning algorithms for decision-making pr…
Joint Scattering Environment Sensing and Channel Estimation for Integrated Sensing and Communication
Wenkang Xu, Yongbo Xiao, An Liu +1
This paper considers an integrated sensing and communication system, where some radar targets also serve as communication scatterers. A location domain channel modeling method is p…
Joint Scattering Environment Sensing and Channel Estimation Based on Non-stationary Markov Random Field
Wenkang Xu, Yongbo Xiao, An Liu +2
This paper considers an integrated sensing and communication system, where some radar targets also serve as communication scatterers. A location domain channel modeling method is p…
Latency Minimization for mmWave D2D Mobile Edge Computing Systems: Joint Task Allocation and Hybrid Beamforming Design
Yanzhen Liu, Yunlong Cai, An Liu +2
Mobile edge computing (MEC) and millimeter wave (mmWave) communications are capable of significantly reducing the network's delay and enhancing its capacity. In this paper we inves…
A Two-stage Multiband WiFi Sensing Scheme via Stochastic Particle-Based Variational Bayesian Inference
Zhixiang Hu, An Liu, Yubo Wan +2
Multiband fusion enhances WiFi sensing by jointly utilizing signals from multiple non-contiguous frequency bands. However, in the multi-band WiFi sensing signal model, there are ma…
Fundamental Limits and Optimization of Multiband Sensing
Yubo Wan, An Liu, Rui Du +1
Multiband sensing is a promising technology that utilizes multiple non-contiguous frequency bands to achieve high-resolution target sensing. In this paper, we investigate the funda…
Multiband Delay Estimation for Localization Using a Two-Stage Global Estimation Scheme
Yubo Wan, An Liu, Qiyu Hu +2
The time of arrival (TOA)-based localization techniques, which need to estimate the delay of the line-of-sight (LoS) path, have been widely employed in location-aware networks. To…
Fundamental Limits of Multiple-Access Integrated Sensing and Communication Systems
Yao Liu, Min Li, An Liu +2
A state-dependent discrete memoryless multiple access channel is considered to model an integrated sensing and communication system, where two transmitters wish to convey messages…
Channel Tracking and Prediction for IRS-aided Wireless Communications
Yi Wei, Ming-Min Zhao, An Liu +1
For intelligent reflecting surface (IRS)-aided wireless communications, channel estimation is essential and usually requires excessive channel training overhead when the number of…
Joint Pilot Optimization, Target Detection and Channel Estimation for Integrated Sensing and Communication Systems
Zhe Huang, Kexuan Wang, An Liu +3
Radar sensing will be integrated into the 6G communication system to support various applications. In this integrated sensing and communication system, a radar target may also be a…
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…
Two-timescale Beamforming Optimization for Intelligent Reflecting Surface Aided Multiuser Communication with QoS Constraints
Ming-Min Zhao, An Liu, Yubo Wan +1
Intelligent reflecting surface (IRS) is an emerging technology that is able to reconfigure the wireless channel via tunable passive signal reflection and thereby enhance the spectr…