b'Jun Luo'

research

∙ 09/07/2023

Password-Stealing without Hacking: Wi-Fi Enabled Practical Keystroke Eavesdropping

The contact-free sensing nature of Wi-Fi has been leveraged to achieve p...

0 Jingyang Hu, et al. ∙

research

∙ 09/01/2023

MIMOCrypt: Multi-User Privacy-Preserving Wi-Fi Sensing via MIMO Encryption

Wi-Fi signals may help realize low-cost and non-invasive human sensing, ...

0 Jun Luo, et al. ∙

research

∙ 08/20/2023

MUSE-Fi: Contactless MUti-person SEnsing Exploiting Near-field Wi-Fi Channel Variation

Having been studied for more than a decade, Wi-Fi human sensing still fa...

0 Jingzhi Hu, et al. ∙

research

∙ 08/20/2023

OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision

Hand Pose Estimation (HPE) is crucial to many applications, but conventi...

0 Shujie Zhang, et al. ∙

research

∙ 03/06/2023

HiGeN: Hierarchical Multi-Resolution Graph Generative Networks

In real world domains, most graphs naturally exhibit a hierarchical stru...

0 Mahdi Karami, et al. ∙

research

∙ 02/17/2023

AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving

Object detection with on-board sensors (e.g., lidar, radar, and camera) ...

0 Tianyue Zheng, et al. ∙

research

∙ 02/02/2023

Human not in the loop: objective sample difficulty measures for Curriculum Learning

Curriculum learning is a learning method that trains models in a meaning...

0 Zhengbo Zhou, et al. ∙

research

∙ 12/06/2022

Variable-Decision Frequency Option Critic

In classic reinforcement learning algorithms, agents make decisions at d...

13 Amirmohammad Karimi, et al. ∙

research

∙ 11/27/2022

Label Alignment Regularization for Distribution Shift

Recent work reported the label alignment property in a supervised learni...

0 Ehsan Imani, et al. ∙

research

∙ 11/14/2022

NeurIPS 2022 Competition: Driving SMARTS

Driving SMARTS is a regular competition designed to tackle problems caus...

0 Amir Rasouli, et al. ∙

research

∙ 11/13/2022

Build generally reusable agent-environment interaction models

This paper tackles the problem of how to pre-train a model and make it g...

0 Jun Jin, et al. ∙

research

∙ 10/25/2022

Auxiliary task discovery through generate-and-test

In this paper, we explore an approach to auxiliary task discovery in rei...

0 Banafsheh Rafiee, et al. ∙

research

∙ 05/22/2022

Memory-efficient Reinforcement Learning with Knowledge Consolidation

Artificial neural networks are promising as general function approximato...

0 Qingfeng Lan, et al. ∙

research

∙ 04/25/2022

Reinforcement Teaching

We propose Reinforcement Teaching: a framework for meta-learning in whic...

10 Alex Lewandowski, et al. ∙

research

∙ 04/01/2022

What makes useful auxiliary tasks in reinforcement learning: investigating the effect of the target policy

Auxiliary tasks have been argued to be useful for representation learnin...

0 Banafsheh Rafiee, et al. ∙

research

∙ 03/03/2022

LatentFormer: Multi-Agent Transformer-Based Interaction Modeling and Trajectory Prediction

Multi-agent trajectory prediction is a fundamental problem in autonomous...

2 Elmira Amirloo, et al. ∙

research

∙ 12/01/2021

Adv-4-Adv: Thwarting Changing Adversarial Perturbations via Adversarial Domain Adaptation

Whereas adversarial training can be useful against specific adversarial ...

6 Tianyue Zheng, et al. ∙

research

∙ 11/16/2021

MoRe-Fi: Motion-robust and Fine-grained Respiration Monitoring via Deep-Learning UWB Radar

Crucial for healthcare and biomedical applications, respiration monitori...

11 Tianyue Zheng, et al. ∙

research

∙ 10/28/2021

Enhancing RF Sensing with Deep Learning: A Layered Approach

In recent years, radio frequency (RF) sensing has gained increasing popu...

0 Tianyue Zheng, et al. ∙

research

∙ 10/28/2021

V2iFi: in-Vehicle Vital Sign Monitoring via Compact RF Sensing

Given the significant amount of time people spend in vehicles, health is...

25 Tianyue Zheng, et al. ∙

research

∙ 10/27/2021

RF-Based Human Activity Recognition Using Signal Adapted Convolutional Neural Network

Human Activity Recognition (HAR) plays a critical role in a wide range o...

0 Zhe Chen, et al. ∙

research

∙ 10/27/2021

SiWa: See into Walls via Deep UWB Radar

Being able to see into walls is crucial for diagnostics of building heal...

0 Tianyue Zheng, et al. ∙

research

∙ 10/21/2021

Deep Curriculum Learning in Task Space for Multi-Class Based Mammography Diagnosis

Mammography is used as a standard screening procedure for the potential ...

0 Jun Luo, et al. ∙

research

∙ 10/20/2021

Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification

Elbow fracture diagnosis often requires patients to take both frontal an...

0 Jun Luo, et al. ∙

research

∙ 10/20/2021

Medical Knowledge-Guided Deep Curriculum Learning for Elbow Fracture Diagnosis from X-Ray Images

Elbow fractures are one of the most common fracture types. Diagnoses on ...

0 Jun Luo, et al. ∙

research

∙ 10/15/2021

Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning

The goal of conventional federated learning (FL) is to train a global mo...

0 Jun Luo, et al. ∙

research

∙ 10/15/2021

FedSLD: Federated Learning with Shared Label Distribution for Medical Image Classification

Machine learning in medical research, by nature, needs careful attention...

0 Jun Luo, et al. ∙

research

∙ 10/01/2021

Multi-lane Cruising Using Hierarchical Planning and Reinforcement Learning

Competent multi-lane cruising requires using lane changes and within-lan...

0 Kasra Rezaee, et al. ∙

research

∙ 06/01/2021

Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment

Extending transfer learning to cooperative multi-agent reinforcement lea...

0 Tianze Zhou, et al. ∙

research

∙ 05/20/2021

Probing the Effect of Selection Bias on NN Generalization with a Thought Experiment

Learned networks in the domain of visual recognition and cognition impre...

12 John K. Tsotsos, et al. ∙

research

∙ 04/15/2021

PURE: Passive mUlti-peRson idEntification via Deep Footstep Separation and Recognition

Recently, passive behavioral biometrics (e.g., gesture or footstep) have...

0 Chao Cai, et al. ∙

research

∙ 03/01/2021

Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map

While supervised learning is widely used for perception modules in conve...

6 Elmira Amirloo, et al. ∙

research

∙ 02/27/2021

Open-set Intersection Intention Prediction for Autonomous Driving

Intention prediction is a crucial task for Autonomous Driving (AD). Due ...

9 Fei Li, et al. ∙

research

∙ 01/07/2021

CoachNet: An Adversarial Sampling Approach for Reinforcement Learning

Despite the recent successes of reinforcement learning in games and robo...

0 Elmira Amirloo Abolfathi, et al. ∙

research

∙ 12/25/2020

Prediction by Anticipation: An Action-Conditional Prediction Method based on Interaction Learning

In autonomous driving (AD), accurately predicting changes in the environ...

3 Ershad Banijamali, et al. ∙

research

∙ 12/14/2020

PePScenes: A Novel Dataset and Baseline for Pedestrian Action Prediction in 3D

Predicting the behavior of road users, particularly pedestrians, is vita...

0 Amir Rasouli, et al. ∙

research

∙ 12/06/2020

Pedestrian Behavior Prediction via Multitask Learning and Categorical Interaction Modeling

Pedestrian behavior prediction is one of the major challenges for intell...

0 Amir Rasouli, et al. ∙

research

∙ 12/03/2020

Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action Prediction

One of the most crucial yet challenging tasks for autonomous vehicles in...

0 Tiffany Yau, et al. ∙

research

∙ 11/16/2020

Multi-Modal Hybrid Architecture for Pedestrian Action Prediction

Pedestrian behavior prediction is one of the major challenges for intell...

0 Amir Rasouli, et al. ∙

research

∙ 08/01/2020

Review on Ranking and Selection: A New Perspective

In this paper, we briefly review the development of ranking-and-selectio...

0 L. Jeff Hong, et al. ∙

research

∙ 05/06/2020

Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder

Whereas adversarial training is employed as the main defence strategy ag...

3 Guanlin Li, et al. ∙

research

∙ 07/11/2019

Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle

Many real-world human behaviors can be characterized as a sequential dec...

0 Guojun Wu, et al. ∙

research

∙ 06/14/2019

Eclipse: Generalizing kNN and Skyline

k nearest neighbor (kNN) queries and skyline queries are important opera...

0 Jinfei Liu, et al. ∙

research

∙ 04/11/2019

Adaptive Hierarchical Down-Sampling for Point Cloud Classification

While several convolution-like operators have recently been proposed for...

0 Ehsan Nezhadarya, et al. ∙

research

∙ 12/04/2018

Skyline Diagram: Efficient Space Partitioning for Skyline Queries

Skyline queries are important in many application domains. In this paper...

0 Jinfei Liu, et al. ∙

research

∙ 07/23/2018

A Stackelberg Game Approach Towards Socially-Aware Incentive Mechanisms for Mobile Crowdsensing (Online report)

Mobile crowdsensing has shown a great potential to address large-scale d...

0 Jiangtian Nie, et al. ∙

research

∙ 07/23/2018

A Stackelberg Game Approach Towards Socially-Aware Incentive Mechanisms for Mobile Crowdsensing

Mobile crowdsensing has shown a great potential to address large-scale d...

0 Jiangtian Nie, et al. ∙

research

∙ 07/14/2018

A Novel Method for Extrinsic Calibration of Multiple RGB-D Cameras Using Descriptor-Based Patterns

This letter presents a novel method to estimate the relative poses betwe...

0 Hang Liu, et al. ∙

research

∙ 07/14/2018

Extrinsic Calibration of Multiple RGB-D Cameras Based on Descriptor-based Patterns

This letter presents a novel method to estimate the relative poses betwe...

0 Hang Liu, et al. ∙

research

∙ 07/14/2018

A Panoramic 3D Vision System from Multiple RGBD Sensors

This letter presents a panoramic 3D vision system that was designed spec...

0 Hang Liu, et al. ∙

Jun Luo

Featured Co-authors