Brief

I am a Senior AI Algorithm Engineer with expertise in deep learning + computer vision and its applications, particularly in intelligent vision/video analysis and advanced image/video processing. My goal is to develop and deploy the latest and most cutting-edge AI models in practical settings.

Here is my CV and google scholar for more detail.

Experiences

Senior AI Algorithm Engineer

Jan. 2019 -
MediaTek

My job responsibilities include the development and deployment of the latest and most advanced AI models on edge devices equipped with MediaTek APU. Additionally, I am accountable for co-designing the Deep Learning Accelerator for the corresponding device from an algorithmic perspective.

Education

M.S in Computer Science

2017 - 2018
National Tsing Hua University

GPA: 4.15/4.3


B.S. in Computer Science

2013 - 2017
National Tsing Hua University

GPA: 4.01/4.3 Ranking: 14/120

Publications

Best of Both Worlds: Learning Arbitrary-Scale Blind Super-Resolution via Dual Degradation Representations and Cycle-Consistency
Shao-Yu Weng, Hsuan Yuan, Yu-Syuan Xu, Ching-Chun Huang, Wei-Chen Chiu.
published in WACV 2023 [Paper] [Project] [Video] [Github]
Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution
Hao-Wei Chen, Yu-Syuan Xu, Min-Fong Hong, Yi-Min Tsai, Hsien-Kai Kuo, Chun-Yi Lee.
published in CVPR 2023 [Paper] [Video] [Github]
Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 challenge: Report
Andrey Ignatov, Radu Timofte, Cheng-Ming Chiang, Hsien-Kai Kuo, Yu-Syuan Xu, Man-Yu Lee, Allen Lu, et al.
published in ECCVW 2022 [Paper]
MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning
Andrey Ignatov, Grigory Malivenko, Radu Timofte, Yu Tseng, Yu-Syuan Xu, Po-Hsiang Yu, Cheng-Ming Chiang, Hsien-Kai Kuo, Min-Hung Chen, Chia-Ming Cheng, Luc Van Gool
published in ECCVW 2022 [Paper]
PyNet-V2 Mobile: Efficient On-Device Photo Processing With Neural Networks
Andrey Ignatov, Grigory Malivenko, Radu Timofte, Yu Tseng, Yu-Syuan Xu, Po-Hsiang Yu, Cheng-Ming Chiang, Hsien-Kai Kuo, Min-Hung Chen, Chia-Ming Cheng, Luc Van Gool
published in ICPR 2022 [Paper]
Learned Smartphone ISP on Mobile NPUs With Deep Learning, Mobile AI 2021 Challenge: Report
Andrey Ignatov, Cheng-Ming Chiang, Hsien-Kai Kuo, Anastasia Sycheva, Radu Timofte, Min-Hung Chen, Man-Yu Lee, Yu-Syuan Xu, Yu Tseng, et al.
published in CVPRW 2021 [Paper]
Network Space Search for Pareto-Efficient Spaces
Min-Fong Hong, Hao-Yun Chen, Min-Hung Chen, Yu-Syuan Xu, Hsien-Kai Kuo, Yi-Min Tsai, Hung-Jen Chen, Kevin Jou
published in CVPRW 2021 [Paper]
Unified Dynamic Convolutional Network for Super-Resolution With Variational Degradations
Yu-Syuan Xu, Shou-Yao Roy Tseng, Yu Tseng, Hsien-Kai Kuo, Yi-Min Tsai
published in CVPR 2020 [Paper] [Video]
Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency
Cheng-Ming Chiang, Yu Tseng, Yu-Syuan Xu, Hsien-Kai Kuo, Yi-Min Tsai, et al.
published in CVPRW 2020 [Paper]
Dynamic Video Segmentation Network
Yu-Syuan Xu, Tsu-Jui Fu, Hsuan-Kung Yang, Chun-Yi Lee
published in CVPR 2018 [Paper] [Video] [Github]

Honors & Awards

First Prize Team on Image Deblurring Smartphone Track, ETHZ

2020

New Trends in Image Restoration and Enhancement workshop and challenges on image and video restoration and enhancement in conjunction with CVPR 2020.

Third Prize Team on Image Deblurring Desktop Track, ETHZ

2020

New Trends in Image Restoration and Enhancement workshop and challenges on image and video restoration and enhancement in conjunction with CVPR 2020.

Student Scholarship, Win & Fun Capital Ltd.

2018

Awarded to the two students with better performance at National Tsing Hua University.

Top Ten Posters, NVIDIA

2018

NVIDIA’s GPU Technology Conference in Taiwan

Garmin Scholarship Award, Garmin Ltd.

2018

Awarded to the nine students with the highest GPA in Taiwan.

Student Scholarship, Pan Wen Yuan Foundation

2016

Awarded to the three students with the highest GPA in their college.

Dean's List Award, National Tsing Hua University

Fall 2015

Awarded to students with the top 5% GPA for that semester.

Projects

Medical Data Analysis System
This is a industry-university cooperative research project with IMAGEBROAD Inc. The goal is to establish a user-friendly medical information system that is easier to read and use. The medical data records in timeline, list and other presentations allowing users to view medical data with different perspectives. And we exploit the huge amounts of medical information to infer the cause and effect of the disease, the occurrence of the order, the symptoms associated and so on.
Image Recomposition
This my final project in introduction to multimedia course. First, use the object segment algorithm to extract specific objects from a input image. Then, exploit the exemplar-based inpainting algorithm to repair the background. and exploit the seam carving algorithm to resize the background. Finally put the objects back to produce images with changed background.

Services

Research Assistant

Jul. 2018 - Aug. 2018
National Tsing Hua University

After graduating from the master, I become a Research Assistant in ELSA Lab at National Tsing Hua University. My research topic is how to control robots with reinforcement learning in simulation environment. I exploit reinforcement learning methods to control robotic arm in Kuka simulation environmen. And I participate in CrowdAI NIPS 2018: AI for Prosthetics Challenge, developing a controller to enable a physiologically-based human model with a prosthetic leg to walk and run with reinforcement learning musculoskeletal model.

Teaching Assistant

2018
NVIDIA

I work with Prof. Chun-Yi Lee in NVIDIA Deep Learning Workshop as teaching assistant in deep learning course and CUDA course. I responsible for parallel programming homework include MPI programming, CUDA programming, cache coherence simulation and GEM5 multicore platform.

Teaching Assistant

Spring 2016
National Tsing Hua University

In 2016 spring Semester, I serve as teaching assistant in parallel computer architecture course at National Tsing Hua University. I Teach office workers and students introduction to deep learning, deep learning applications with tensorflow, introduction to accelerated computing, and accelerating applications with CUDA python.

Skills

Machine Learning

Deep Learning

Computer Vision

Reinforcement Learning

Coding & API

Python

C & C++

Java

Matlab

Tensorflow

PyTorch

CUDA