Ju Wang
Senior Researcher,
Samsung Research, AI Center - Montreal
Samsung Electronics, Canada
Email: j.wang1 [AT] samsung.com or wangju [AT] nwu.edu.cn
Office: 1000 Sherbrooke Street W, Suite 1100, Montreal, QC, H3B 4W8



Research Interests:

Artificial Intelligence, Wireless Communication System/Network, Internet of Things (IoT). By borrowing techniques from diverse areas, including computer networks, machine learning, and signal processing, I like to explore and develop new software-hardware systems that enable the next generation of wireless communication, human-computer interaction (HCI), and ubiquitous sensing.


Short Bio:

I'm a senior researcher at Samsung AI Center (SAIC)-Montreal, working with Prof. Xue (Steve) Liu and Prof. Gregory Dudek . I also serve as an adjunct professor at Northwest University, China. Before joining Samsung, I did a two-year postdoc at University of Waterloo, under the supervision of Prof. Srinivasan Keshav and Prof. Omid Abari. I received my Ph.D. in Computer Science from Northwest University, China in 2017, under the supervision of Prof. Dingyi Fang and Prof. Xiaojiang Chen.


Selected Publications:
Full list at Google Scholar

WiFi-based Device-free Indoor Localization via Domain Adaptation
Hang Li, Xi Chen, Ju Wang, Di Wu and Xue Liu
ACM IMWUT/UbiComp'22
[PAPER]

Traffic Prediction At 5G Edge With Data-Efficient Transfer Learning
Xi Chen, Ju Wang, Hang Li, Yitian Xu, Di Wu, Xue Liu, Gregory Dudek, and Taeseop Le.
IEEE GlobeCom'21, Madrid, Spain
Best Paper Award
[PAPER]

Accurate, Low-cost Cross-target Gesture Recognition Using Wi-Fi
Xinyi Li, Liqiong Chang, Fangfang Song, Ju Wang, Xiaojiang Chen, Zhanyong Tang, and Zheng Wang
ACM IMWUT/UbiComp'21
[PAPER]

Non-Intrusive Person Identification Based on Commodity RFID
Chao Feng, Jie Xiong, Liqiong Chang, Fuwei Wang, Ju Wang, and Dingyi Fang
ACM IMWUT/UbiComp'21
[PAPER]

Sensing Finger Input Using An RFID Transmission Line
Ju Wang, Jianyan Li, Mohammad Mazaheri, Keiko Katsuragawa, Daniel Vogel, and Omid Abari
ACM SenSys'20, Yokohama, Japan
Acceptance Rate: 20%
[PAPER] [SLIDES] [DEMO]

Soil moisture sensing with commodity RFID systems
Ju Wang, Liqiong Chang, Shourya Aggarwal, Omid Abari, and Srinivasan Keshav
ACM MobiSys'20, Toronto, Canada
Acceptance Rate: 19%
[PAPER] [SLIDES]

A Battery-Free In-Class Response System Using RFID Tags
Liqiong Chang, Ju Wang, Omid Abari, and Srinivasan Keshav
IEEE/ACM IoTDI'20, Sydney, Australia
[PAPER] [SLIDES]

Are RFID Sensing Systems Ready for the Real World?
Ju Wang, Liqiong Chang, Omid Abari, and Srinivasan Keshav
ACM MobiSys'19, Seoul, South Korea
Acceptance Rate: 23%
[PAPER] [SLIDES]

Tip-Tap: Battery-free Discrete 2D Fingertip Input
Keiko Katsuragawa, Ju Wang, Ziyang Shan, Ningshan Ouyang, Omid Abari, and Daniel Vogel
ACM UIST'19, New Orleans, USA
Acceptance Rate: 24%
[PAPER] [DEMO]

RFID Hacking for Fun and Profit
Ju Wang, Omid Abari, and Srinivasan Keshav
ACM MobiCom'18, Delhi, India
Acceptance Rate: 22%
Featured in ACM GetMobile
[PAPER] [SLIDES] [DEMO]

Capturing Rich Sleep Information Using Smartwatch Sensing Data
Liqiong Chang, Jiaqi Lu, Ju Wang, Xiaojiang Chen, Dingyi Fang, Zhangyong Yang, Petteri Nurmi, and Zheng Wang
ACM IMWUT/UbiComp'18
[PAPER]

Simultaneous Target Imaging and Material Identification with Commodity RFID Devices
Ju Wang, Jie Xiong, Xiaojiang Chen, Hongbo Jiang, Rajesh Krishna Balan, and Dingyi Fang
ACM MobiCom'17, Snowbird, USA
Acceptance Rate: 18%
Featured in IEEE Computer Society
Extended journal version in IEEE TMC'19
[PAPER-Conference] [PAPER-Journal] [SLIDES] [DEMO]

A Millimeter Level Calligraphy Copybook based on Commodity RFID
Chang, Liqiong, Jie Xiong, Ju Wang, Xiaojiang Chen, Yu Wang, Zhanyong Tang, and Dingyi Fang
ACM IMWUT/UbiComp'17
[PAPER]

Low Human-Effort, Device-Free Localization with Fine-Grained Subcarrier Information
Ju Wang, Hongbo Jiang, Jie Xiong, Kyle Jamieson, Xiaojiang Chen, Dingyi Fang, and Binbin Xie
ACM MobiCom'16, New York City, USA
Acceptance Rate: 14%
Extended journal version in IEEE TMC'18
[PAPER-Conference] [PAPER-Journal] [SLIDES]

Embracing bad Multipaths for Device-Free Localization with COTS RFID Devices
Ju Wang, Jie Xiong, Hongbo Jiang, Xiaojiang Chen, and Dingyi Fang
ACM CoNEXT'16, Irvine, USA
Acceptance Rate: 18%
Extended journal version in IEEE/ACM TON'17
[PAPER-Conference] [PAPER-Journal] [SLIDES]

An Energy-Efficient Framework for High-Precision Multi-Target-Adaptive Device-Free Localization
Ju Wang, Dingyi Fang, Zhe Yang, Hongbo Jiang, Xiaojiang Chen, Tianzhang Xing and Lin Cai
IEEE TMC'16
[PAPER]

Transferring Compressive Sensing Based Device-Free Localization Across Target Diversity
Ju Wang, Xiaojiang Chen, Dingyi Fang, Chase Qishi Wu, Zhe Yang, and Tianzhang Xing
IEEE TIE'15
[PAPER]

Compressive Sensing based Device-Free Localization for Multiple Targets in Sensor Networks
Ju Wang, Dingyi Fang, Xiaojiang Chen, Zhe Yang, Tianzhang Xing, and Lin Cai
IEEE INFOCOM'13, Turin, Italy
Acceptance Rate: 17%
[PAPER] [SLIDES]



Awards:

2021: Best Paper Award in IEEE GlobeCom'21
2017: Outstanding Doctoral Dissertation of China Computer Federation (CCF)
            (1 of 10 awarded across all of China)
2016: National Scholarship for Ph.D. Student, China
2015: National Scholarship for Ph.D. Student, China
2014: National Scholarship for Ph.D. Student, China
2010: First Prize, Intel Cup Undergraduate Electronic Design Contest
            (13 prizes awarded across 165 universities in Asia)

In The News:

2019: Our battery-free computer input at your finger tip was covered by CBC News, Arduino News, Science Daily , Technology.org News, InceptiveMind News, UWaterloo News
2018: Our battery-free Internet of Things device was covered by Tech Explorist News, The Engineer News, R&D World News, Biohackinfo News
2018: Our smartwatch app that tracks sleeping was covered by Science Daily, Medindia News, LabRoots News, Devdiscourse News