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Featured Co-authors

Lawrence Carin
178 publications
Yi Li
145 publications
Yi Xu
100 publications
Feng Wang
90 publications
Soumik Sarkar
71 publications
Chinmay Hegde
68 publications
Jianyu Wang
44 publications
M. Cenk Gursoy
40 publications
Pramod K. Varshney
38 publications
Qifan Wang
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Anuj Sharma
33 publications

∙ 06/16/2023

Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos

Recognizing the activities, causing distraction, in real-world driving s...

0 Md. Zahid Hasan, et al. ∙

∙ 04/01/2023

SVT: Supertoken Video Transformer for Efficient Video Understanding

Whether by processing videos with fixed resolution from start to end or ...

5 Chenbin Pan, et al. ∙

∙ 03/15/2023

EgoViT: Pyramid Video Transformer for Egocentric Action Recognition

Capturing interaction of hands with objects is important to autonomously...

0 Chenbin Pan, et al. ∙

∙ 09/12/2022

Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learning

Federated learning has attracted growing interest as it preserves the cl...

0 Feng Wang, et al. ∙

∙ 12/08/2021

Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing

We address the problem of sequentially selecting and observing processes...

0 Geethu Joseph, et al. ∙

∙ 11/18/2021

RAANet: Range-Aware Attention Network for LiDAR-based 3D Object Detection with Auxiliary Density Level Estimation

3D object detection from LiDAR data for autonomous driving has been maki...

30 Yantao Lu, et al. ∙

∙ 11/14/2021

Background-Aware 3D Point Cloud Segmentationwith Dynamic Point Feature Aggregation

With the proliferation of Lidar sensors and 3D vision cameras, 3D point ...

2 Jiajing Chen, et al. ∙

∙ 05/12/2021

Anomaly Detection via Controlled Sensing and Deep Active Inference

In this paper, we address the anomaly detection problem where the object...

0 Geethu Joseph, et al. ∙

∙ 05/12/2021

Adversarial Reinforcement Learning in Dynamic Channel Access and Power Control

Deep reinforcement learning (DRL) has recently been used to perform effi...

0 Feng Wang, et al. ∙

∙ 11/28/2020

Preclinical Stage Alzheimer's Disease Detection Using Magnetic Resonance Image Scans

Alzheimer's disease is one of the diseases that mostly affects older peo...

0 Fatih Altay, et al. ∙

∙ 09/28/2020

Anomaly Detection and Sampling Cost Control via Hierarchical GANs

Anomaly detection incurs certain sampling and sensing costs and therefor...

0 Chen Zhong, et al. ∙

∙ 07/12/2020

Adversarial jamming attacks and defense strategies via adaptive deep reinforcement learning

As the applications of deep reinforcement learning (DRL) in wireless com...

0 Feng Wang, et al. ∙

∙ 11/22/2019

Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction

Neural networks are known to be vulnerable to carefully crafted adversar...

21 Yantao Lu, et al. ∙

∙ 08/28/2019

Deep Actor-Critic Reinforcement Learning for Anomaly Detection

Anomaly detection is widely applied in a variety of domains, involving f...

0 Chen Zhong, et al. ∙

∙ 08/20/2019

A Deep Actor-Critic Reinforcement Learning Framework for Dynamic Multichannel Access

To make efficient use of limited spectral resources, we in this work pro...

48 Chen Zhong, et al. ∙

∙ 05/28/2019

Autonomous Human Activity Classification from Ego-vision Camera and Accelerometer Data

There has been significant amount of research work on human activity cla...

0 Yantao Lu, et al. ∙

∙ 05/13/2019

Deep Multi-Agent Reinforcement Learning Based Cooperative Edge Caching in Wireless Networks

The growing demand on high-quality and low-latency multimedia services h...

0 Chen Zhong, et al. ∙

∙ 05/08/2019

Enhancing Cross-task Transferability of Adversarial Examples with Dispersion Reduction

Neural networks are known to be vulnerable to carefully crafted adversar...

0 Yunhan Jia, et al. ∙

∙ 03/31/2019

Power Control for Wireless VBR Video Streaming: From Optimization to Reinforcement Learning

In this paper, we investigate the problem of power control for streaming...

0 Chuang Ye, et al. ∙

∙ 10/16/2018

Deep Learning Based Power Control for Quality-Driven Wireless Video Transmissions

In this paper, wireless video transmission to multiple users under total...

0 Chuang Ye, et al. ∙

∙ 10/08/2018

Actor-Critic Deep Reinforcement Learning for Dynamic Multichannel Access

We consider the dynamic multichannel access problem, which can be formul...

0 Chen Zhong, et al. ∙

∙ 09/26/2018

Learning-Based Delay-Aware Caching in Wireless D2D Caching Networks

Recently, wireless caching techniques have been studied to satisfy lower...

0 Yi Li, et al. ∙

∙ 09/24/2018

Autonomously and Simultaneously Refining Deep Neural Network Parameters by a Bi-Generative Adversarial Network Aided Genetic Algorithm

The choice of parameters, and the design of the network architecture are...

0 Yantao Lu, et al. ∙

∙ 05/24/2018

Autonomously and Simultaneously Refining Deep Neural Network Parameters by Generative Adversarial Networks

The choice of parameters, and the design of the network architecture are...

0 Burak Kakillioglu, et al. ∙

∙ 02/14/2018

Power Control and Mode Selection for VBR Video Streaming in D2D Networks

In this paper, we investigate the problem of power control for streaming...

0 Chuang Ye, et al. ∙

∙ 12/21/2017

A Deep Reinforcement Learning-Based Framework for Content Caching

Content caching at the edge nodes is a promising technique to reduce the...

0 Chen Zhong, et al. ∙

∙ 10/19/2015

Accelerometer based Activity Classification with Variational Inference on Sticky HDP-SLDS

As part of daily monitoring of human activities, wearable sensors and de...

0 Mehmet Emin Basbug, et al. ∙

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