15 citations · 33 across the 14 of their papers we have counts for
14 papers
Wireless Image Transmission with Semantic and Security Awareness
Maojun Zhang, Yang Li, Zezhong Zhang +2
Semantic communication is an increasingly popular framework for wireless image transmission due to its high communication efficiency. With the aid of the joint-source-and-channel (…
Merchandise Recommendation for Retail Events with Word Embedding Weighted Tf-idf and Dynamic Query Expansion
Ted Tao Yuan, Zezhong Zhang
To recommend relevant merchandises for seasonal retail events, we rely on item retrieval from marketplace inventory. With feedback to expand query scope, we discuss keyword expansi…
Low-Latency Cooperative Spectrum Sensing via Truncated Vertical Federated Learning
Zezhong Zhang, Guangxu Zhu, Shuguang Cui
In recent years, the exponential increase in the demand of wireless data transmission rises the urgency for accurate spectrum sensing approaches to improve spectrum efficiency. The…
Accelerating Federated Edge Learning via Topology Optimization
Shanfeng Huang, Zezhong Zhang, Shuai Wang +2
Federated edge learning (FEEL) is envisioned as a promising paradigm to achieve privacy-preserving distributed learning. However, it consumes excessive learning time due to the exi…
A PDE-based Adaptive Kernel Method for Solving Optimal Filtering Problems
Zezhong Zhang, Richard Archibald, Feng Bao
In this paper, we introduce an adaptive kernel method for solving the optimal filtering problem. The computational framework that we adopt is the Bayesian filter, in which we recur…
What is Semantic Communication? A View on Conveying Meaning in the Era of Machine Intelligence
Qiao Lan, Dingzhu Wen, Zezhong Zhang +4
In 1940s, Claude Shannon developed the information theory focusing on quantifying the maximum data rate that can be supported by a communication channel. Guided by this, the main t…
Turning Channel Noise into an Accelerator for Over-the-Air Principal Component Analysis
Zezhong Zhang, Guangxu Zhu, Rui Wang +2
Recently years, the attempts on distilling mobile data into useful knowledge has been led to the deployment of machine learning algorithms at the network edge. Principal component…
Cooperative Multi-Point Vehicular Positioning Using Millimeter-Wave Surface Reflection (Extended version)
Zezhong Zhang, Seung-Woo Ko, Rui Wang +1
Multi-point vehicular positioning is one essential operation for autonomous vehicles. However, the state-of-the-art positioning technologies, relying on reflected signals from a ta…
Moving Metric Detection and Alerting System at eBay
Zezhong Zhang, Keyu Nie, Ted Tao Yuan
At eBay, there are thousands of product health metrics for different domain teams to monitor. We built a two-phase alerting system to notify users with actionable alerts based on a…
An Introduction to Communication Efficient Edge Machine Learning
Qiao Lan, Zezhong Zhang, Yuqing Du +2
In the near future, Internet-of-Things (IoT) is expected to connect billions of devices (e.g., smartphones and sensors), which generate massive real-time data at the network edge.…
Efficient Multivariate Bandit Algorithm with Path Planning
Keyu Nie, Zezhong Zhang, Ted Tao Yuan +2
In this paper, we solve the arms exponential exploding issue in multivariate Multi-Armed Bandit (Multivariate-MAB) problem when the arm dimension hierarchy is considered. We propos…
Realizing Multi-Point Vehicular Positioning via Millimeter-wave Transmission
Zezhong Zhang, Seung-Woo Ko, Rui Wang +1
Multi-point detection of the full-scale environment is an important issue in autonomous driving. The state-of-the-art positioning technologies (such as RADAR and LIDAR) are incapab…
Learning-based Rate Adaptation for Uplink Massive MIMO Networks with Cooperative Data-Assisted Detection
Yang Li, Zezhong Zhang, Rui Wang +2
In this paper, the uplink adaptation for massive multiple-input-multiple-output (MIMO) networks without the knowledge of user density is considered. Specifically, a novel cooperati…
Downlink Goodput Analysis for D2D Underlaying Massive MIMO Networks
Zezhong Zhang, Zehua Zhou, Rui Wang +1
The performance of downlink massive multiple-input-multiple-output networks with co-channel device-to-device communications is investigated in this paper. Specifically, we consider…