portrait
Zhichao Cao Ph.D
Office: Room 3224, Engineering Building, 428 S. Shaw Lane, East Lansing, MI 48824
Email: caozc at msu dot edu

Biography

I am an assistant professor at Department of Computer Science and Engineering, Michigan State University (MSU). I am also a faculty affiliate of AgBioResearch at MSU. I joined MSU at 2020. Before that, I had worked in School of Software, Tsinghua University for 6 years. I received my Ph.D. degree supervised by Yunhao Liu at 2013 in the Department of Computer Science and Engineering of Hong Kong University of Scienc and Technology. I received my B.E. degree at 2009 in the Department of Computer Science and Technology of Tsinghua University. My research interests lie broadly in IoT systems, edge computing and mobile computing. Currently, I serve as Associate Editor for ACM Transactions on Sensor Networks (TOSN), which is the flag journal related to computational intelligence in IoT.

News

  • [Networking] Our work NELoRa is highlighted by ACM SIGMOBILE GetMobile.
  • [Award] Li Liu and Yidong Ren won the Travel Grant of ICNP 2022. Congratulation to Li and Yidong.
  • [Networking] Our paper "Is LoRaWAN Really Wide? Fine-grained LoRa Link-level Measurement in An Urban Environment" is accepted by IEEE ICNP 2022.
  • [Service] Invited to be a TPC member of IEEE MSN 2022, and IEEE ICPADS 2022.
  • [Wi-Fi Sensing] Our paper "WiVelo: Fine-grained Walking Velocity Estimation for Wi-Fi Passive Tracking" is accepted by IEEE SECON 2022.
  • [Service] Invited to be a TPC member of EAI MobiQuitous 2022.
  • [Award] Elevated to IEEE Senior Member and ACM Senior Member.
  • [Service] Invited to be a TPC member of IEEE INFOCOM 2023.
  • [Award] Chenning Li won the Travel Grants of NSDI 2022 and INFOCOM 2022. Congratulation to Chenning.
  • [Mobile Security] Our paper "NEC: Speaker Selective Cancellation via Neural Enhanced Ultrasound Shadowing" is accepted by IEEE/IFIP DSN 2022.
  • [AI+Sensing] We will organize the 1st Wireless AI Perception (WAIP) workshop at CVPR 2022. Welcome to participate!
  • [Networking] Our paper "CurvingLoRa to Boost LoRa Network Capacity via Concurrent Transmission" is accpted by USENIX NSDI 2022.
  • [ML System] Our paper "PyramidFL: A Fine-grained Client Selection Framework for Efficient Federated Learning" is accepted by ACM MobiCom 2022.
  • [Networking] Our paper "CurveALOHA: Non-linear Chirps Enabled High Throughput Random Channel Access for LoRa" is accepted by IEEE INFOCOM 2022.
  • [Award] Our paper "NELoRa: Towards Ultra-low SNR LoRa Communication with Neural-enhanced Demodulation" won the Best Paper Award of ACM Sensys 2021.

Edge Intelligence and Networking (EIN) Group [Group Members]

Our EIN research group consists of 6 PhD candidates with diverse undergraduate backgrounds. We focus on broad networking optimization and computational intelligence topics we have met during developing and implementing various edge and IoT systems.
Research Projects:
  • FedIoT: Efficient and Scalable Federated Learning systems for IoT. (2021 - Present)
  • FarmEye: A large-scale agriclture data collection and analysis system with LoRa and AI. (2021 - Present)
  • DeepSensing: Deep Neural Network augmented RF sensing systems. (2020 - Present)
  • MobileSEC: Mobile system security and privacy ralted to cameras and microphones. (2020 - Present)
  • IndoorSys: Practical tracking systems in indoor environments with mobile devices and RF infrastrucutres. (2019 - 2022)
  • LoSee: A wide-area vehicle tracking system with LoRa. (2018 - 2020)
  • BatteryLink: A product-cycle management system for lead batteries. (2016 - 2019)
  • OilNet: A high speed mesh back-bone network for wild oil fields. (2014 - 2016)
  • CitySee: A long-term city-wide urban sensing system for Carbon balance evaluation and environmental surveillance. (2012 - 2014)
  • GreenOrbs: A long-term kilo-scale wireless sensor network system in the vast forest. (2009 - 2012)

I am recruting motivated PhD students who share the same research interests with us.

Surveys and Highlights

  • Chenning Li, Hanqing Guo, Shuai Tong, Zhichao Cao, Mi Zhang, Qiben Yan, Li Xiao, Jiliang Wang, and Yunhao Liu.
    NELoRa: Neural-enhanced Demodulation for Low-Power WANs. ACM SIGMOBILE GetMobile, (Sep, 2022).
  • Chenning Li, and Zhichao Cao.
    LoRa Networking Techniques for Large-scale and Long-term IoT: A Down-to-top Survey. ACM Computing Survey (CSUR) 55(3):52, (2022).
  • Chenning Li, Zhichao Cao, and Yunhao Liu.
    Deep AI Enabled Ubiquitous Wireless Sensing: A Survey. ACM Computing Survey (CSUR) 54(2):32, (2021).

Selected Publications [Full List]

    Wireless Sensing

  • Chenning Li, Li Liu, Zhichao Cao, and Mi Zhang.
    WiVelo: Fine-grained Walking Velocity Estimation for Wi-Fi Passive Tracking. SECON 2022.
  • Chenning Li, Manni Liu, and Zhichao Cao.
    WiHF: Gesture and User Recognition with Wi-Fi. TMC 21(2):757-768, (2022).
  • Chenning Li, Zheng Liu, Yuguang Yao, Zhichao Cao, Mi Zhang, and Yunhao Liu.
    Wi-Fi See It All: Generative Adversarial Network-augmented Versatile Wi-Fi Imaging. Sensys 2020.
  • Wireless Networking/Communication

  • Yidong Ren, Li Liu, Chenning Li, Zhichao Cao, and Shigang Chen.
    Is LoRaWAN Really Wide? Fine-grained LoRa Link-level Measurement in An Urban Environment. ICNP 2022.
  • Chenning Li, Xiuzhen Guo, Longfei Shangguan, Zhichao Cao, and Kyle Jamieson.
    CurvingLoRa to Boost LoRa Network Throughput via Concurrent Transmission. NSDI 2022.
  • Chenning Li, Hanqing Guo, Shuai Tong, Xiao Zeng, Zhichao Cao, Mi Zhang, Qiben Yan, Li Xiao, Jiliang Wang, and Yunhao Liu.
    NELoRa: Towards Ultra-low SNR LoRa Communication with Neural-enhanced Demodulation. Sensys 2021. (Best Paper Award)
  • ML/Edge System

  • Chenning Li, Xiao Zeng, Mi Zhang, and Zhichao Cao.
    PyramidFL: A Fine-grained Client Selection Framework for Efficient Federated Learning. MobiCom 2022.
  • Mobile Security/Application

  • Hanqing Guo, Chenning Li, Lingkun Li, Zhichao Cao, Qiben Yan, and Li Xiao.
    NEC: Speaker Selective Cancellation via Neural Enhanced Ultrasound Shadowing. DSN 2022.
  • Jialuo Du, Chenning Li, Zhenge Guo, and Zhichao Cao.
    SRPeek: Super Resolution Enabled Screen Peeking via COTS Smartphone. ICPADS 2021.
  • Manni Liu, Jialuo Du, Qing Zhou, Zhichao Cao, and Yunhao Liu.
    EyeLoc: Smartphone Vision Enabled Plug-n-play Indoor Localization in Large Shopping Malls. IoTJ 8(7):5585-5598, (2021).

Teaching

  • Fall 2020/Spring 2021, CSE-220, Programming in C
  • Spring 2020/Fall 2021, CSE-891, AIoT: Artificial Intelligence in the Edge

Codes and Datasets

  • L2 Implementation in TinyOS.
  • Chase Implementation in TinyOS.
  • NELoRa codes and datasets.
  • CurvingLoRa codes and datasets.
  • PyramidFL codes and datasets.
  • WiSIA: Wi-Fi imagings datasets.

Quote

"Nothing endures but change."

- Heraclitus, Greek philosopher (540 BC - 480 BC)