Python, C/C++, SQL, Java, Pytorch, Tensorflow

Pin-Chun Chen

*** ********* *****, **** ***, New York, NY, 10027

+1-917-***-**** ******@********.*** pin11829 Education

Columbia University New York, NY

M.S. in Computer Science, Machine Learning Track Exp Dec 2021

• CS related coursework: Computational Learning Theory, Introduction to Databases, Advanced Database Systems, Applied Data Science, Advanced Big Data Analytic, Natural Language Processing National Taiwan University (NTU) Taipei, Taiwan

M.S. in Networking and Multimedia; B.S. in Mechatronics Engineering Sep. 2012 – Aug 2019

• CS relatedcoursework: Data Structures & Algorithms, Information Theory,Machine Learning, Artificial Intelligence, Digital Speech Processing, Multimedia Processing & Security, Computer Programming Language, Computer Archi tecture, Linear Algebra

• Award: College Student Research Scholarship, Min. of Science and Technology, Bachelor’s Thesis.

• Extracurricular Activities: President, Dormitory Self Regulation Committee; President, Five Depts Joint Prom. Experience

Academia Sinica, Research Center for Information Technology Innovation Taipei, Taiwan RESEARCH ASSiSTANT Sep 2019 – Aug 2020

• Designed a 7 to 30 times faster Adversarial Training algorithm in Python and Pytorch, enhancing robustness of object detection models including SSD, YOLO, and RetinaNet from 2mAP to almost 20mAP in MS COCO dataset.

• Constructed three policies including task oriented, object wise, and class wise training to balance the loss in the detectors, letting each object in the image have the same influence during the adversarial training.

• Built a machine learning platform from server to PC, and connecting with NAS to store and transfer data. Dept. of Computer Science & Information Engineering, NTU Taipei, Taiwan TEACHiNG ASSiSTANT Feb 2019 – Jun 2019, Sep 2017 – Jan 2018

• Guided students to discover solutions to problems by preparing additional materials, paraphrasing content of ”Com puter Architecture” and ”Information Theory&Coding Techniques” courses and answering related questions.

• Taught fundamental concept of Assembly language to over 80 students by giving lectures, designing homework. Projects

NTUCSIE Community and Multimedia Lab

IMAGE COMPRESSiON USiNG DEEP NEURAL NETWORKS Apr 2018 – Oct 2018

• Designed a lossless compression algorithm using Pixel CNN++ based prediction and Adaptive Arithmetic coding in Python, which achieves significant compression on MNIST and Cifar 10 dataset.

• Designed an experiment with different autoregressive generative models, with Pixel CNN++ as the basis. USiNG MACHiNE LEARNiNG TO LiSTEN AND TRANSLATE Sep 2017 – Feb 2018

• Designed the preprocessing process for audio, including word embedding, dictionary building, down sampling for MFCC, adding noise, negative sampling.

• Designed a Sequence to Sequence Model and adopted a Retrieval Model, achieving a high final accuracy that placed us in the top 10% of 100 teams in a competition.

NTUBIME Biophotonics and Bioimaging Lab

BACHELOR’S THESiS: BUTTERFLY IMAGE IDENTiFiCATiON SYSTEM FOR MOBiLE DEViCES Jun. 2014 – Aug. 2016

• Established a system in C++ to accurately identify butterfly species captured by mobile phones; created architecture including an identification algorithm on mobile app and server.

• Wrote a mobile app on Android Studio by Java and set up connection procedure between smartphones and server.

• Utilized a hand crafted image recognition method in server end: Compared image’s histogram and SURF feature points. Executed weighted sum models to enhance butterfly identification success rate up to 76%. Publication

A Study of the Applicability of Ideal Lattice based Fully Homomorphic Encryption Scheme to Ethereum Blockchain, Pin Chun Chen, Tzu Hsiang Kuo, Ja Ling Wu, IEEE System Journal Class Aware Robust Adversarial Training for Object Detection, Pin Chun Chen, Jun Cheng Chen, submitted to the CVPR2021

Skills

Operating Systems Windows, Linux/Unix, Mac OS, Android Languages C/C++, Python, Java, SQL, HTML, MATLAB, Solidity Frameworks Keras, TensorFlow, PyTorch, Flask, QT, OpenCV, Arduino, RaspberryPi, Android Studio

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