Junyang Shi
Software Engineer, Google
Ph.D. in Computer
Science
New York, US
jshi28 AT binghamton dot edu
Passionate about distributed system, IoT, realtime system, wireless networks, and embedded systems.
Biography
I received my Ph.D. degree under the guidance of Dr. Mo Sha from the Department of Computer Science at Binghamton University (State University of New York at Binghamton) . I received a B.S. degree in Electrical and Electronics Engineering from Huazhong University of Science of Technology (HUST). My research interests include Industrial Wireless Sensor-Actuator Networks, Distributed and Realtime System, Internet of Things, and Embedded Systems. I am a student member of IEEE.
Services
TPC Chairs
Serve as the TPC track chair (Theory and Protocol) for ICPADS'24. Please consider submitting your paper; Call for Papers.
Paper Reviewer
The 27th International Conference on Distributed Computing and Networking (ICDCN) 2026 [Website]
The 27th International Conference on Distributed Computing and Networking 2026 [Website]
IEEE Transactions on Cyber-Physical Systems 2025 [Website]
The 50th IEEE Conference on Local Computer Networks (LCN) 2025 [Website]
The 30th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA) 2025 [Website]
IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS) 2025 [Website]
The 40th ACM/SIGAPP Symposium On Applied Computing 2025 [Website]
IEEE International Conference on Mobile Ad-Hoc and Smart Systems, 2024 [Website]
IEEE Transactions on Industrial Informatics 2021 [Website]
IEEE Wireless Communication Magazine 2020, 2021 [Website]
IEEE Transactions on Vehicular Technology 2019 [Website]
Publications
[C] Junyang Shi and Mo Sha, Localizing Campus Shuttles from One Single Base Station Using LoRa Link Characteristics, IEEE International Conference on Computer Communications and Networks (ICCCN), July 2022, acceptance ratio: 39/130=30.0%.
[J] Junyang Shi, Di Mu, and Mo Sha, Enabling Cross-Technology Communication from LoRa to ZigBee via Payload Encoding in Sub-1 GHz Bands, ACM Transactions on Sensor Networks (TOSN), accepted for publication.
[C] Xia Cheng, Junyang Shi, Mo Sha, and Linke Guo, Launching Smart Selective Jamming Attacks in WirelessHART Networks, IEEE International Conference on Computer Communications (INFOCOM), May 2021, acceptance ratio: 252/1266 = 19.9%.
[C] Junyang Shi, Mo Sha, and Xi Peng, Adapting Wireless Mesh Network Configuration from Simulation to Reality via Deep Learning based Domain Adaptation, USENIX Symposium on Networked Systems Design and Implementation (NSDI), April 2021, acceptance ratio (fall deadline): 40/255 = 15.6%.
[C] Di Mu, Yitian Chen, Junyang Shi, and Mo Sha, Runtime Control of LoRa Spreading Factor for Campus Shuttle Monitoring, IEEE International Conference on Network Protocols (ICNP), October 2020, acceptance ratio: 30/180 = 16.7%.
[J] Junyang Shi and Mo Sha, Parameter Self-Adaptation for Industrial Wireless Sensor-Actuator Networks, ACM Transactions on Internet Technology (TOIT), Special Issue on Evolution of IoT Networking Architectures, Vol. 20, Issue 3, pp. 28:1-28:25, September 2020.
[J] Xia Cheng, Junyang Shi, and Mo Sha, Cracking Channel Hopping Sequences and Graph Routes in Industrial TSCH Networks, ACM Transactions on Internet Technology (TOIT), Special Issue on Evolution of IoT Networking Architectures, accepted for publication, 2020.
[C] Junyang Shi, Xingjian Chen, and Mo Sha, Enabling Direct Messaging from LoRa to ZigBee in the 2.4 GHz Band for Industrial Wireless Networks, IEEE International Conference on Industrial Internet (ICII'19), November 2019.
[C] Junyang Shi, Di Mu, and Mo Sha, LoRaBee: Cross-Technology Communication from LoRa to ZigBee via Payload Encoding, IEEE International Conference on Network Protocols (ICNP'19), October 2019, acceptance ratio: 30/210 = 14.2%.
[J] Junyang Shi, Mo Sha, and Zhicheng Yang, Distributed Graph Routing and Scheduling for Industrial Wireless Sensor-Actuator Networks, IEEE/ACM Transactions on Networking (TON), accepted for publication.
[C] Junyang Shi and Mo Sha, Parameter Self-Configuration and Self-Adaptation in Industrial Wireless Sensor-Actuator Networks, IEEE International Conference on Computer Communications (INFOCOM'19), April 2019, acceptance ratio: 288/1464 = 19.7%.
[C] Xia Cheng, Junyang Shi, and Mo Sha, Cracking the Channel Hopping Sequences in IEEE 802.15.4e-Based Industrial TSCH Networks, ACM/IEEE International Conference on Internet-of-Things Design and Implementation (IoTDI'19), April 2019, acceptance ratio: 20/71 = 28.1%.
[P] Xia Cheng, Junyang Shi, and Mo Sha, POSTER: Cracking the Graph Routes in WirelessHART Networks, ACM ASIA Conference on Computer and Communications Security (ASIACCS'19), July 2019 (Poster).
[C] Junyang Shi, Mo Sha, and Zhicheng Yang, DiGS: Distributed Graph Routing and Scheduling for Industrial Wireless Sensor-Actuator Networks, IEEE International Conference on Distributed Computing Systems (ICDCS'18) research tracks, July 2018, acceptance ratio: 78/378 = 20.6%.
Experience and Awards
Work Experience:
Software Engineer, Google, May 2022 - Present
Software Engineer, Bloomberg LP, Jun 2021 - May 2022
Research And Teaching Assistant, Binghamton University, Jan 2017 - May 2021
Software Engineer Intern, Ansys, Aug 2020 - Dec 2020
Awards:
2021 SUNY Graduate School Research Excellence Award
2020 SUNY BU ACM Competition First Place
ICNP 2019 Traveling Award
INFOCOM 2019 Traveling Award
ICDCS 2018 Traveling Award
2015, 2014, 2013 Scholarship for Academic Records, HUST