Fengyuan Zhu

Fengyuan Zhu Photo

I am a fourth-year Ph.D. student in the EE department, Shanghai Jiao Tong University (SJTU), Shanghai, China.

Here is my e-mail address in SJTU: jsqdzhufengyuan@sjtu.edu.cn

I received my bachelor's degree from the EE department, Shanghai Jiao Tong University in 2019. After that, I was admitted to the graduate school of Shanghai Jiao Tong University.

I was admitted to the Master Program in 2019 and transferred to the Ph.D. program in 2021 in the EE department, Shanghai Jiao Tong University. My supervisor has been Professor Xiaohua Tian.

My research interests include wireless systems and various low-power IoT designs. My research works focus on developing next-generation IoT networks, with each IoT node consuming μW-level ultra-low power. My research works are published in top journals in networking: IEEE/ACM Transactions on Networking (TON), IEEE Transactions on Mobile Computing (TMC), and top conferences in mobile computing: ACM MobiCom, ACM MobiSys, ACM SenSys, and top conferences in microelectronics: International Solid-State Circuits Conference (ISSCC).

My Academic Experience

From 2015 to 2017

I worked with Jingran Zhu and Yiling Wang under the supervision of Prof. Sui in the Department of Biomedical Engineering. The research topic is CNT electrodes.

From 2017 to 2022

In 2017, I joined IIoT and began to work with Renjie Zhao under the supervision of Prof. Tian. The research topic is OFDMA backscatter.

In 2019, I began my M.S. program in the EE department at Shanghai Jiao Tong University. My supervisor is Prof. Tian.

In 2021, I began my Ph.D. program in the EE department at Shanghai Jiao Tong University. My Ph.D. supervisor is Prof. Tian.

Awards in Ph.D. Stage

CWSN'24 Best Paper Award (2024): The 18th China Conference on Internet of Things (Wireless Sensor Network)

The 17th Challenge Cup Shanghai Division (2021): Outstanding Award,特等奖 (Team leader)

National Scholarship for Doctoral Students (2023): 博士生国家奖学金

Highlighted Papers

(NEW!) Fengyuan Zhu, J. Shen, W. Li, J. Luo, R. Zhao, L. Zhong, B. Wang, X. Tian, "NanoScatter: Towards Ambient IoT", in Proc. MobiCom 2025 (Accepted)

(NEW!) Fengyuan Zhu, J. He, J. Lin, Y. Qin, B. Wang, Q. Di, M. Jin, and X. Tian, "Inductor-free LoRa Backscatter", IEEE Transactions on Networking, 2025 (Accepted)

J. Shen*, Fengyuan Zhu* (co-primary), Y. Liu, B. Liu, L. Xu, C. Shi, L. Huang, Xiaohua Tian, R. Zhang, “A 44μW IoT Tag Enabling 1μs Synchronization Accuracy and OFDMA Concurrent Communication with Software-Defined Modulation,” ISSCC 2024 [PDF]

Fengyuan Zhu, R. Zhao, B. Wang, X. Tian, X. Wang, X. Guan, C. Zhou, "Enabling OFDMA in Wi-Fi Backscatter," IEEE/ACM Transactions on Networking, 2023 [PDF]

X. Tian, Fengyuan Zhu, H. Li, M. Ouyang, L. Feng, X. Tong, X. Wang, "MobiScatter: Enhancing Capacity in Drone Assisted High-Concurrency Backscatter Networks," IEEE/ACM Transactions on Networking, 2023 [Link]

Fengyuan Zhu, L. Feng, X. Tian, M. Jin, X. Wang, "Towards Ultra-low Power OFDMA Downlink Demodulation," in Proc. ACM SenSys 2022 [PDF]

Fengyuan Zhu, M. Ouyang, L. Feng, Y. Liu, X. Tian, M. Jin, D. Chen, X. Wang, "Enabling Software-defined PHY in Backscatter Networks," in Proc. ACM MobiSys 2022 [PDF]

Fengyuan Zhu, Y. Feng, Q. Li, X. Tian, X. Wang, "DigiScatter: Efficiently Prototyping Large-Scale OFDMA Backscatter Networks," in Proc. ACM MobiSys 2020 [PDF]

Journal Publications

Fengyuan Zhu, J. He, J. Lin, Y. Qin, B. Wang, Q. Di, M. Jin, and X. Tian, "Inductor-free LoRa Backscatter", IEEE Transactions on Networking, 2025

Fengyuan Zhu, R. Zhao, B. Wang, X. Tian, X. Wang, X. Guan, C. Zhou, "Enabling OFDMA in Wi-Fi Backscatter," IEEE/ACM Transactions on Networking, 2023 [Link]

X. Tian, Fengyuan Zhu, H. Li, M. Ouyang, L. Feng, X. Tong, X. Wang, "MobiScatter: Enhancing Capacity in Drone Assisted High-Concurrency Backscatter Networks," IEEE/ACM Transactions on Networking, 2023 [Link]

B. Wang, Fengyuan Zhu, L. Zhong, M. Jin, X. Wang, C. Chen, X. Guan, C. Zhou, Xiaohua Tian, "Enabling Dual-Band Wi-Fi Backscatter," IEEE Transactions on Mobile Computing, 2024 [Link]

Conference Publications

(NEW!) Fengyuan Zhu, J. Shen, W. Li, J. Luo, R. Zhao, L. Zhong, B. Wang, X. Tian, "NanoScatter: Towards Ambient IoT", in Proc. MobiCom 2025 (Accepted)

M. Xie, M. Jin, Fengyuan Zhu, Y. Zhang, X. Tian, X. Wang, and C. Zhou. "Enabling High-rate Backscatter Sensing at Scale." In Proc. ACM MobiCom 2024, Association for Computing Machinery, New York, NY, USA, 124–138, 2024. https://doi.org/10.1145/3636534.3649351

B. Wang, Fengyuan Zhu, Wenhui Li, Z. Yang, M. Jin, and Xiaohua Tian. "Frequency-agile OFDM Backscatter." In Proc. ACM MobiSys 2024, Association for Computing Machinery, New York, NY, USA, 252–264, 2024. https://doi.org/10.1145/3643832.3661873

J. Shen*, Fengyuan Zhu* (co-primary), Y. Liu, B. Liu, L. Xu, C. Shi, L. Huang, Xiaohua Tian, R. Zhang, “A 44μW IoT Tag Enabling 1μs Synchronization Accuracy and OFDMA Concurrent Communication with Software-Defined Modulation,” ISSCC 2024 [PDF]

R. Ding, H. Jin, J. Ding, X. Wang, G. Fan, Fengyuan Zhu, X. Tian, L. Kong, "Push the Limit of Single-Chip mmWave Radar-Based Egomotion Estimation with Moving Objects in FoV", in Proc. ACM SenSys 2023 [PDF]

L. Zhong, M. Ouyang, Fengyuan Zhu, M. Jin, X. Wang, X. Guan, C. Zhou, X. Tian, "SmartShell: A Near-Field Reflective Surface Enhancing RSS", in Proc. ACM MobiSys 2023 [PDF]

Fengyuan Zhu, L. Feng, X. Tian, M. Jin, X. Wang, "Towards Ultra-low Power OFDMA Downlink Demodulation," in Proc. ACM SenSys 2022 [PDF]

Fengyuan Zhu, M. Ouyang, L. Feng, Y. Liu, X. Tian, M. Jin, D. Chen, X. Wang, "Enabling Software-defined PHY in Backscatter Networks," in Proc. ACM MobiSys 2022 [PDF]

Fengyuan Zhu, Y. Feng, Q. Li, X. Tian, X. Wang, "DigiScatter: Efficiently Prototyping Large-Scale OFDMA Backscatter Networks," in Proc. ACM MobiSys 2020 [PDF]

R. Zhao, Fengyuan Zhu, Y. Feng, S. Peng, X. Tian, H. Yu, X. Wang, “OFDMA-Enabled Wi-Fi Backscatter,”in Proc. ACM MobiCom 2019 [PDF]

X. Tong, Fengyuan Zhu, Y. Wan, X. Tian and X. Wang, “Batch Localization based on OFDMA Backscatter,” in Proc. ACM UbiComp 2019 [PDF]