Publications (37)
Angle-Dependent Phase Shifter Model for Reconfigurable Intelligent Surfaces: Does the Angle-Reciprocity Hold?
Weicong Chen, Lin Bai, Wankai Tang +3
The existing phase shifter models adopted for reconfigurable intelligent surfaces (RISs) have ignored the electromagnetic (EM) waves propagation behavior, thus cannot reveal practi…
DepthNet: Real-Time LiDAR Point Cloud Depth Completion for Autonomous Vehicles
Lin Bai, Yiming Zhao, Mahdi Elhousni +1
Autonomous vehicles rely heavily on sensors such as camera and LiDAR, which provide real-time information about their surroundings for the tasks of perception, planning and control…
Large and Small Deviations for Statistical Sequence Matching
Lin Zhou, Qianyun Wang, Jingjing Wang +2
We revisit the problem of statistical sequence matching between two databases of sequences initiated by Unnikrishnan (TIT 2015) and derive theoretical performance guarantees for th…
A CNN Accelerator on FPGA Using Depthwise Separable Convolution
Lin Bai, Yiming Zhao, Xinming Huang
Convolutional neural networks (CNNs) have been widely deployed in the fields of computer vision and pattern recognition because of their high accuracy. However, large convolution o…
GraphAlign: Enhancing Accurate Feature Alignment by Graph matching for Multi-Modal 3D Object Detection
Ziying Song, Haiyue Wei, Lin Bai +2
LiDAR and cameras are complementary sensors for 3D object detection in autonomous driving. However, it is challenging to explore the unnatural interaction between point clouds and…
ChipNet: Real-Time LiDAR Processing for Drivable Region Segmentation on an FPGA
Yecheng Lyu, Lin Bai, Xinming Huang
This paper presents a field-programmable gate array (FPGA) design of a segmentation algorithm based on convolutional neural network (CNN) that can process light detection and rangi…
Achievable Refined Asymptotics for Successive Refinement Using Gaussian Codebooks
Lin Bai, Zhuangfei Wu, Lin Zhou
We study the mismatched successive refinement problem where one uses Gaussian codebooks to compress an arbitrary memoryless source with successive minimum Euclidean distance encodi…
A Novel Received Signal Strength Assisted Perspective-three-Point Algorithm for Indoor Visible Light Positioning
Lin Bai, Yang Yang, Chunyan Feng +1
In this paper, a received signal strength assisted Perspective-three-Point positioning algorithm (R-P3P) is proposed for visible light positioning (VLP) systems. The basic idea of…
A Surface Geometry Model for LiDAR Depth Completion
Yiming Zhao, Lin Bai, Ziming Zhang +1
LiDAR depth completion is a task that predicts depth values for every pixel on the corresponding camera frame, although only sparse LiDAR points are available. Most of the existing…
Efficient User Scheduling for Uplink Hybrid Satellite-Terrestrial Communication
Lina Zhu, Lin Bai, Lin Zhou +1
Due to increasing demands of seamless connection and massive information exchange across the world, the integrated satellite-terrestrial communication systems develop rapidly. To s…
Enabling 3D Object Detection with a Low-Resolution LiDAR
Lin Bai, Yiming Zhao, Xinming Huang
Light Detection And Ranging (LiDAR) has been widely used in autonomous vehicles for perception and localization. However, the cost of a high-resolution LiDAR is still prohibitively…
mViSE: A Visual Search Engine for Analyzing Multiplex IHC Brain Tissue Images
Liqiang Huang, Rachel W. Mills, Saikiran Mandula +7
Whole-slide multiplex imaging of brain tissue generates massive information-dense images that are challenging to analyze and require custom software. We present an alternative quer…
iLearnRobot: An Interactive Learning-Based Multi-Modal Robot with Continuous Improvement
Kohou Wang, ZhaoXiang Liu, Lin Bai +5
It is crucial that robots' performance can be improved after deployment, as they are inherently likely to encounter novel scenarios never seen before. This paper presents an innova…
FIDNet: LiDAR Point Cloud Semantic Segmentation with Fully Interpolation Decoding
Yiming Zhao, Lin Bai, Xinming Huang
Projecting the point cloud on the 2D spherical range image transforms the LiDAR semantic segmentation to a 2D segmentation task on the range image. However, the LiDAR range image i…
Iterative Joint Beamforming Training with Constant-Amplitude Phased Arrays in Millimeter-Wave Communication
Zhenyu Xiao, Lin Bai, Jinho Choi
In millimeter-wave communications (MMWC), in order to compensate for high propagation attenuation, phased arrays are favored to achieve array gain by beamforming, where transmittin…
Achievable Second-Order Asymptotics for MAC and RAC with Additive Non-Gaussian Noise
Yiming Wang, Lin Bai, Zhuangfei Wu +1
We first study the two-user additive noise multiple access channel (MAC) where the noise distribution is arbitrary. For such a MAC, we use spherical codebooks and either joint near…
Collaborative Secret and Covert Communications for Multi-User Multi-Antenna Uplink UAV Systems: Design and Optimization
Jinpeng Xu, Lin Bai, Xin Xie +1
Motivated by diverse secure requirements of multi-user in UAV systems, we propose a collaborative secret and covert transmission method for multi-antenna ground users to unmanned a…
Real-Time Road Segmentation Using LiDAR Data Processing on an FPGA
Yecheng Lyu, Lin Bai, Xinming Huang
This paper presents the FPGA design of a convolutional neural network (CNN) based road segmentation algorithm for real-time processing of LiDAR data. For autonomous vehicles, it is…
The Dispersion of Broadcast Channels With Degraded Message Sets Using Gaussian Codebooks
Zhuangfei Wu, Lin Bai, Jinpeng Xu +2
We study the two-user broadcast channel with degraded message sets and derive second-order achievability rate regions. Specifically, the channel noises are not necessarily Gaussian…
Learning More Robust Features with Adversarial Training
Shuangtao Li, Yuanke Chen, Yanlin Peng +1
In recent years, it has been found that neural networks can be easily fooled by adversarial examples, which is a potential safety hazard in some safety-critical applications. Many…
Achievable Error Exponents for Two-Phase Multiple Classification
Lin Zhou, Jun Diao, Lin Bai
We revisit -ary classification of Gutman (TIT 1989), where one is tasked to determine whether a testing sequence is generated with the same distribution as one of the traini…
Achievable Sum Rates of Half- and Full-Duplex Bidirectional OFDM Communication Links
Zhenyu Xiao, Yao Li, Lin Bai +1
While full-duplex (FD) transmission has the potential to double the system capacity, its substantial benefit can be offset by the self-interference (SI) and non-ideality of practic…
The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection from Multi-Source Satellite Imagery
Omid Ghorbanzadeh, Yonghao Xu, Hengwei Zhao +12
The scientific outcomes of the 2022 Landslide4Sense (L4S) competition organized by the Institute of Advanced Research in Artificial Intelligence (IARAI) are presented here. The obj…
Machine Learning for Large-Scale Optimization in 6G Wireless Networks
Yandong Shi, Lixiang Lian, Yuanming Shi +6
The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from "connected things" to "connected intelligence", featured by ultra high density, large-sc…
Successive Refinement of Shannon Cipher System Under Maximal Leakage
Zhuangfei Wu, Lin Bai, Lin Zhou
We study the successive refinement setting of Shannon cipher system (SCS) under the maximal leakage secrecy metric for discrete memoryless sources under bounded distortion measures…
A High Coverage Camera Assisted Received Signal Strength Ratio Algorithm for Indoor Visible Light Positioning
Lin Bai, Yang Yang, Chunyan Feng +2
In this paper, a high coverage algorithm termed enhanced camera assisted received signal strength ratio (eCA-RSSR) positioning algorithm is proposed for visible light positioning (…
A Near Sensor Edge Computing System for Point Cloud Semantic Segmentation
Lin Bai, Yiming Zhao, Xinming Huang
Point cloud semantic segmentation has attracted attentions due to its robustness to light condition. This makes it an ideal semantic solution for autonomous driving. However, consi…
Weak-to-Strong Generalization Enables Fully Automated De Novo Training of Multi-head Mask-RCNN Model for Segmenting Densely Overlapping Cell Nuclei in Multiplex Whole-slice Brain Images
Lin Bai, Xiaoyang Li, Liqiang Huang +7
We present a weak to strong generalization methodology for fully automated training of a multi-head extension of the Mask-RCNN method with efficient channel attention for reliable…
Novel Visible Light Communication Assisted Perspective-Four-Line Algorithm for Indoor Localization
Lin Bai
In this paper, we propose a novel visible light communication (VLC) assisted Perspective-fourLine algorithm (V-P4L) for practical indoor localization. The basic idea of V-P4L is to…
Resolution Limits of Non-Adaptive 20 Questions Search for Multiple Targets
Lin Zhou, Lin Bai, Alfred Hero
We study the problem of simultaneous search for multiple targets over a multidimensional unit cube and derive fundamental resolution limits of non-adaptive querying procedures usin…
Road Segmentation Using CNN and Distributed LSTM
Yecheng Lyu, Lin Bai, Xinming Huang
In automated driving systems (ADS) and advanced driver-assistance systems (ADAS), an efficient road segmentation is necessary to perceive the drivable region and build an occupancy…
RoadNet-RT: High Throughput CNN Architecture and SoC Design for Real-Time Road Segmentation
Lin Bai, Yecheng Lyu, Xinming Huang
In recent years, convolutional neural network has gained popularity in many engineering applications especially for computer vision. In order to achieve better performance, often m…
An Improved EPA based Receiver Design for Uplink LDPC Coded SCMA System
Lingyun Chai, Zilong Liu, Pei Xiao +2
Sparse code multiple access (SCMA) is an emerging paradigm for efficient enabling of massive connectivity in future machine-type communications (MTC). In this letter, we conceive t…
A Unified Hardware Architecture for Convolutions and Deconvolutions in CNN
Lin Bai, Yecheng Lyu, Xinming Huang
In this paper, a scalable neural network hardware architecture for image segmentation is proposed. By sharing the same computing resources, both convolution and deconvolution opera…
An Interactive LiDAR to Camera Calibration
Yecheng Lyu, Lin Bai, Mahdi Elhousni +1
Recent progress in the automated driving system (ADS) and advanced driver assistant system (ADAS) has shown that the combined use of 3D light detection and ranging (LiDAR) and the…
VGA: Vision and Graph Fused Attention Network for Rumor Detection
Lin Bai, Caiyan Jia, Ziying Song +1
With the development of social media, rumors have been spread broadly on social media platforms, causing great harm to society. Beside textual information, many rumors also use man…
PointNet on FPGA for Real-Time LiDAR Point Cloud Processing
Lin Bai, Yecheng Lyu, Xin Xu +1
LiDAR sensors have been widely used in many autonomous vehicle modalities, such as perception, mapping, and localization. This paper presents an FPGA-based deep learning platform f…