Hao Pan

Hao Pan

Researcher | Microsoft Research Asia

Microsoft Research Asia

Biography

Hao Pan is a Senior Researcher at Microsoft Research Asia (Shanghai). Before that, he received my Ph.D. in computer science at the Shanghai Jiao Tong University (SJTU) in 2022, and completed undergraduate studies in the Yingcai Honors College of University of Electronic Science and Technology of China (UESTC) in 2016. His research interests focus on networked systems and span the areas of wireless communication and sensing, human-comuputer interaction, and computer vision.

Download my resumé (English, Chinese).

Interests
  • Mobile Computing
  • Wireless Communication (5G, mmWave, LEO)
  • Wireless Sensing
  • Computer Vision
Education
  • PhD in Computer Science and Engineering, Sept. 2016 - Mar. 2022

    Shanghai Jiao Tong University

  • BSc in Information and Communication Engineering, Sept. 2012 - June 2016

    University of Electronic Science and Technology of China

News

[Mar. 2024] 😊 I am promoted as a Senior Researcher.

[Nov. 2023] 🥳 Our paper AutoMS is pre-accepted by MobiCom 2024 (summer round).

[Aug. 2023] 🥳 Our paper PMSat is accepted by MobiCom 2023 (winter round).

[Jan. 2023] 🥳 Our paper is accepted by IEEE/ACM IPSN 2023.

[Dec. 2022] 🥳 Our paper is accepted by IEEE INFOCOM 2023.

[Oct. 2022] 😊 I join Microsoft Research Asia (Shanghai) as a FTE Researcher.

[Jun. 2022] 🥳 Our paper DoCam is accepted by MobiCom 2022.

[Feb. 2022] 😊 I successfully defend the doctor dissertation.

Recent Publications

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(2024). AUTOMS: Automated Service for mmWave Coverage Optimization using Low-cost Metasurfaces. In ACM MobiCom.

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(2024). Pushing Wireless Charging from Station to Travel. In ACM MobiCom.

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(2023). PMSat: Optimizing Passive Metasurface for Low Earth Orbit Satellite Communication. In ACM MobiCom.

PDF Cite Code Slides Video

(2023). Effectively Learning Moir´e QR Code Decryption from Simulated Data. In IEEE INFOCOM.

Project

(2023). Addressing Practical Challenges in Acoustic Sensing To Enable Fast Motion Tracking. In ACM/IEEE IPSN.

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(2022). DoCam: Depth Sensing with an Optical Image Stabilization Supported RGB Camera. In ACM MobiCom.

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(2022). OISSR: Optical Image Stabilization Based Super Resolution on Smartphone Cameras. In ACM Multimedia.

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(2022). MagDefender: Detecting Eavesdropping on Mobile Devices using the Built-in Magnetometer. In IEEE SECON.

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(2022). ScreenID: Enhancing QRCode Security by Utilizing Screen Dimming Feature. In IEEE/ACM ToN.

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(2021). MagneComm+: Near-Field Electromagnetic Induction Communication with Magnetometer. In IEEE TMC.

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(2021). No Seeing is Also Believing: Electromagnetic-emission-based Application Guessing Attacks via Smartphones. In IEEE TMC.

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(2021). MagThief: Stealing Private App Usage Data on Mobile Devices via Built-in Magnetometer. In IEEE SECON.

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(2021). ScreenID: Enhancing QRCode Security by Fingerprinting Screens. In IEEE INFOCOM.

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(2020). MagPrint: Deep Learning Based User Fingerprinting Using Electromagnetic Signals. In IEEE INFOCOM.

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(2019). mQRCode: Secure QR Code Using Nonlinearity of Spatial Frequency in Light. In ACM MobiCom.

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(2019). MagAttack: Guessing Application Launching and Operation via Smartphone. In ACM ASIACCS.

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(2017). MagneComm: Magnetometer-based Near-Field Communication. In ACM MobiCom.

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