Ming-Hsuan Tu
Since joining Acer, I have been involved in Android application development, primarily responsible for collecting user experience data on Acer smartphones. This includes analyzing the usage frequency of various software and log analysis. These data are uploaded to GCS and then transferred to the company's Hadoop cluster for big data analysis through Hadoop's Oozie scheduling workflow. I also designed the API interface for the backend Google App Engine. Additionally, I participated in the development of the Acer DADA project, which assists customers in performing software updates without using the Google Play Store.
Around 2019, I began delving into the field of deep learning. My work mainly involves training FaceID models, object detection models, object segmentation models, speech recognition, and designing models for emotion and age analysis.
I have particular experience in model compression; for example, when designing a dangerous shoe detection model for the Taipei Metro, I compressed the original model to run on hardware at more than half the cost while achieving better accuracy.
Moreover, I helped the team introduce and implement CI/CD processes. Improving team efficiency is one of my interests.
I am a person who loves to constantly explore, enjoys breaking existing frameworks, creating more efficient workflows, and is passionate about academic research and practical application.
Experience
Android Application
Develop Acer Nidus which collects user experience on acer cellphone, analyzing the data by hadoop, and to improve the user experience
Web Application
Develop a google app engine called Acer DADA, which is designed to subscribe and deploy app to acer device<Introduction> <NEWS>
Deep learning
Working on the computer vision program, including object detection and face recognition, and deploy the application with TensorRT or Intel OpenVINO to get acceralated
- 台中歌劇院-客群影像辨識及行為分析系統
- 台灣歷史博物館-客群影像辨識及行為分析系統
- 門禁點名機(FaceID)
- 台北捷運入站防疫系統
- 台北捷運電扶梯危險鞋類偵測
- 台北捷運車廂人流異常分析
- 二手手機殼瑕疵檢測-模型設計
- 台北捷運軌道障礙物偵測 POC 模型優化
- 關渡醫院 NPI (情緒分析) 點名機
- 榮總各分院長照中心 NPI (情緒分析) 點名機
Education
Master of Computer Science and Engineering of National Sun Yat-sen University
Bachelor of Computer Science and Engineering of Yuan Ze University
Skills
Side Project
- Python bindings for RocksDB - python-rocksdb
- caffe contributor - caffe
- MNN contributor - MNN
- MMCV contributor - MMCV
- MMClassificaiton contributor - MMClassificaiton
- NNI contributor - NNI
- Cupy contributor - Cupy
- learnGitBranching chinese translation contributor - Learn Git Branching
Publication
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Yang, Cheng-Zen, and Ming-Hsuan Tu. "LACTA: An Enhanced Automatic Software Categorization on the Native Code of Android Applications." Proceedings of the International MultiConference of Engineers and Computer Scientists. Vol. 1. 2012.<PDF>
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Ye-In Chang, Jun-Hong Shen, Chia-En Li, Zih-Siang Chen and Ming-Hsuan Tu, 2019, Oct., “Mining Image Frequent Patterns based on a Frequent Pattern List in Image Databases”, accepted by The Journal of Supercomputing (SCI). <PDF>
Awards
- Academic Excellence Award of Yuan Ze University
- Certificate of Merit for The 2012 IAENG International Conference on Software