Huan-Chih Wang (王煥智)
I’m Huan-Chih Wang (Jimmy), a Ph.D candidate in National Taiwan University. My research area focuses on Machine Learning and Data Security.
Education
2023-2024 Research Visit in TU Darmstadt, Germany.
2019-Present Ph.D. Candidate in Computer Science and Information Engineering National Taiwan University, Taiwan.
2015-2018 M.S. in Computer Science and Information Engineering National Taiwan University, Taiwan.
2017 International Student Exchange Program in Computer Science University of Illinois Urbana-Champaign, United States.
2011-2015 B.S. in Computer Science and Information Engineering National Cheng Kung University, Taiwan.
Working Experience
2018-Present Researcher @ Chunghwa Telecom Laboratories
- Designed a product recommendation algorithm for an e-commerce website and published it as a patent. (based on a topic model algorithm and implemented with TensorFlow) \
- Developed a website where users can interact with an AI assistant with a microphone and browse history conversations. (framework: React)
Publications
2021 Huan-Chih Wang, and Ja-Ling Wu, A Study of Secure Algorithms for Vertical Federated Learning: Take Secure Logistic Regression as an Example, The International Conference on Security and Management (SAM ‘21), 2021.
2019 Huan-Chih Wang, and Ja-Ling Wu, A Machine Learning-Based Secure Face Verification Scheme and Its Applications to Digital Surveillance, International Conference on Digital Image & Signal Processing, 2019.
2019 Chao-Jei Tsai, Huan-Chih Wang, and Ja-Ling Wu, Three Techniques for Enhancing Chaos-Based Joint Compression and Encryption Schemes, MDPI Entropy, 2019.
Talks
- 2023 Huan-Chih Wang, A Fast Convolution Algorithm for Accelerating Convolution Algorithm, FHE.ORG Online Meetup. Web, Video.
Patents
- 2022 Huan-Chih Wang, and Fu-Chen Yang, Electronic Device and Method for Predicting Spending Amount of Customer of Shopping Website, Taiwan Patent I763165, May. 1, 2022.
Programming Skills
- Languages: C/C++, JavaScript, Python, Shell Script, SQL
- Environments: Linux, Docker, Azure, GCP
- Libraries: Tensorflow, openMP, MPI, Microsoft SEAL, Intel he-transformer
- Tools: vi/vim, Git, LaTeX