About Me

I'm Jhao-Ting (Jack) Chen (陳兆廷). I am an ECE master's student at Carnegie Mellon Univerisy(CMU). I've worked at Academia Sinica, Microsoft and Logitech. My research interests lie in Computer Vision and Deep Learning. More about me..., I love gaming, indie musics, movies, cats and playing guitar. Nice to meet you all!

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CMU
Aug. 22 - Dec. 23

Academia Sinica
May. 21 - Feb 22.

Microsoft
Jul. 20 - Jul 21.

Logitech
Mar. 20 - Jun. 20

NTHU
Sep. 17 - Jun. 21

Education

M.S. in Electrical and Computer Engineering

Carnegie Mellon University

Aug. 2022 - Dec. 2023, Pittsburgh, US

B.S. in Electrical Engineering

National Tsing Hua University

Sep. 2017 - Jun. 2021, Hsinchu, Taiwan

Work Experience

Academia Sinica

Research Assistant

AIIU Lab, advised by Prof. Jun-Cheng Chen
May 2021 - Feb 2022, Taipei, Taiwan
  • Have extensive hands‑on experience with 50M+ images, 5K+ videos, 2K+ audio segments in 20+ datasets.
  • Conducted rigorous research in Deep Learning and Computer Vision. 1 paper accepted by ICASSP 2022.
  • Developed and deployed a multi‑modal, video‑audio based deepfake detector for Taiwan National Security Bureau.
  • Designed a baseline for zero‑shot text‑guided localization without introducing additional training costs.

Microsoft

Software R&D Intern

Cloud Hardware Infrastructure & Engineering Team
July 2020 - July 2021, Taipei, Taiwan
  • Developed high‑performance scripts and parallel execution workflows for node‑level/rack‑level reliability estimation on the Azure Virtual Machine Series, with PowerShell, Batch, Python scripts.
  • Developed interactive dashboards that holds 500M+ Azure server node records for instant health inspection.
  • Built 100% automated project‑tracking service for 20+ team members, increased the team’s productivity.
  • Audited 1M+ server logs across 200+ Azure data centers through Microsoft SQL server and Kusto.
  • Computed precise metrics for Azure server components life‑cycle and time‑to‑failure evaluation with Python scripts.
Certification Thoughts

Logitech

Picture Analysis & System Development Intern

Color, Material & Finish Team
March 2020 - June 2020, Hsinchu, Taiwan
  • Analyzed 1000+ photos of product materials and colors with machine learning and systemized analysis workflows.
  • Designed verification and experiments based on the developed system for accurate product material design.
  • Developed afull‑stack website with Python Flask‑app, Nginx and Google Cloud Platform, deployed the analysis system for 50+ CMF team members in Hsinchu and Shuzo site.
Certification Thoughts

Publications

  1. Jhao-Ting Chen, H.A. Hsia, C.H. Lin, B.H. Kung, D.S. Tan, J.C. Chen, K.L. Hua. CLIPCAM: A Simple Baseline For Zero‑shot Text‑guided Object and Action Localization. ICASSP 2022. [Link] [Code]

Projects