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08/14/2023
Successive Refinement of Shannon Cipher System Under Maximal Leakage
We study the successive refinement setting of Shannon cipher system (SCS...
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10/24/2022
Efficient User Scheduling for Uplink Hybrid Satellite-Terrestrial Communication
Due to increasing demands of seamless connection and massive information...
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10/23/2022
Achievable Error Exponents for Almost Fixed-Length Hypothesis Testing and Classification
We revisit multiple hypothesis testing and propose a two-phase test, whe...
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08/08/2022
Achievable Refined Asymptotics for Successive Refinement Using Gaussian Codebooks
We study the mismatched successive refinement problem where one uses Gau...
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07/12/2022
A Near Sensor Edge Computing System for Point Cloud Semantic Segmentation
Point cloud semantic segmentation has attracted attentions due to its ro...
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02/11/2022
An Improved EPA based Receiver Design for Uplink LDPC Coded SCMA System
Sparse code multiple access (SCMA) is an emerging paradigm for efficient...
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09/08/2021
FIDNet: LiDAR Point Cloud Semantic Segmentation with Fully Interpolation Decoding
Projecting the point cloud on the 2D spherical range image transforms th...
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05/04/2021
3D Vehicle Detection Using Camera and Low-Resolution LiDAR
Nowadays, Light Detection And Ranging (LiDAR) has been widely used in au...
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04/17/2021
A Surface Geometry Model for LiDAR Depth Completion
LiDAR depth completion is a task that predicts depth values for every pi...
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06/13/2020
RoadNet-RT: High Throughput CNN Architecture and SoC Design for Real-Time Road Segmentation
In recent years, convolutional neural network has gained popularity in m...
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05/29/2020
A Unified Hardware Architecture for Convolutions and Deconvolutions in CNN
In this paper, a scalable neural network hardware architecture for image...
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05/09/2020
Angle-Dependent Phase Shifter Model for Reconfigurable Intelligent Surfaces: Does the Angle-Reciprocity Hold?
The existing phase shifter models adopted for reconfigurable intelligent...
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09/03/2018
A CNN Accelerator on FPGA Using Depthwise Separable Convolution
Convolutional neural networks (CNNs) have been widely deployed in the fi...
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04/20/2018
Learning More Robust Features with Adversarial Training
In recent years, it has been found that neural networks can be easily fo...
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11/07/2017
