(at Lake Louise, Alberta, Canada)

Hanshi Sun   孙寒石

I am an incoming Master in Electrical and Computer Engineering at Carnegie Mellon University. I obtained my bachelor degree at Southeast University. I was a member of the PAttern Learning and Mining (PALM) Lab , where I am fortunate to be advised by Prof. Yi Zhou. I was a research intern at the University of Alberta before, supervised by Prof. Xingyu Li. I am an intern at  Apple now.

Research Interest: Machine Learning
hanshis [at] andrew [dot] cmu [dot] edu
hanshi.sun [at] outlook [dot] com

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LinkedIn
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News


Education

Carnegie Mellon University, Pittsburgh, United States (Aug 2023 - Dec 2024)

M.S. in Electrical & Computer Engineering

Southeast University, Nanjing, China (Sep 2019 - Jul 2023)

B.E. in Electronic Science and Technology
  • Overall GPA: 3.98/4.0, 94.04/100
  • 2021 & 2022 China National Scholarship

Research Experience

University of Alberta, Edmonton, Canada (Jul 2022 - Oct 2022)

Mitacs Globalink Research Internship




Southeast University, Nanjing, China (Oct 2020 - Jul 2022)

Research Assitant in PALM Lab and National Engineering Research Center For ASIC
  • Supervisor: Prof. Yi Zhou, Prof. Hao Liu
  • Project 1: Energy-efficient DNN Algorithm for ECG Classification
  • Project 2: Multi-Modal Multi-task Transformer on Disease Detection
  • Project 2: Multi-task Learning For Multi-disease Classification

Professional Experience

Apple Inc., Shenzhen, China (Nov 2022 - Jun 2023)

R&D Intern in iPad System EE
  • Built a python automation test frame that can run on multiple units, collect and analyze logs
  • Issue reproduction, symptom capture, and hands-on debugging for coexistence testing
  • Created web pages with diverse visualization of the analyzed data using Flask

Publications

   
BMAD: Benchmarks for Medical Anomaly Detection

Jinan Bao, Hanshi Sun, Hanqiu Deng, Yinsheng He, Zhaoxiang Zhang, and Xingyu Li
arXiv:2306.11876, 2023

[paper] [code]

   
Combating Medical Noisy Labels by Disentangled Distribution Learning and Consistency Regularization

Yi Zhou, Lei Huang, Tao Zhou and Hanshi Sun
Future Generation Computer Systems, (FGCS), 2022.

[paper]

   
Arrhythmia Classifier Using Convolutional Neural Network with Adaptive Loss-aware Multi-bit Networks Quantization

Hanshi Sun, Ao Wang, Ninghao Pu, Zhiqing Li, Junguang Huang, Hao Liu and Zhi Qi
International Conference on Artificial Intelligence and Computer Engineering, (ICAICE), 2021.

[project page] [paper] [code]

Miscellaneous

Videos:

Friends (click to expand, random order)

© Hanshi Sun 2023