About me
I am a M.Phil. student working on applied cryptography, in particular, privacy-preserving machine learning and cryptocurrencies/blockchains, under the supervision of Prof. Sherman S. M. Chow.
Education
- M.Phil. in Information Engineering, The Chinese University of Hong Kong, 2018 - Present
- B.Sc. in Mathematics and Information Engineering, First-class Honours, The Chinese University of Hong Kong, 2014 - 2018
- Minor in Computer Science
- ELITE Stream: Engineering Leadership, Innovation, Technology and Entrepreneurship
Work Experience
- Summer 2017: Research Assistant @ Oak Ridge National Laboratory
- Project 1: Magma-DNN, a high-performance DNN library for multi-core CPU and GPU, supervised by Prof. Stanimire Tomov and Prof. Kwai Wong
- Project 2: Brain-wave analysis for computer cursors supervised by Prof. Xiaopeng Zhao
- Summer 2016: Research Assistant @ The Chinese University of Hong Kong
- Implemented a library for regression for distributed computation systems, supervised by Prof. James Cheng
Publications
- H. H. F. Yin, X. Wang, K. H. Ng, R. W. F. Lai, L. K. L. Ng, J. P. K. Ma
“On Multi-Channel Huffman Codes for Asymmetric-Alphabet Channels”
ISIT ‘21 - L. K. L. Ng, S. S. M. Chow, D. P. H. Wong, A. P. Y. Woo
“LDSP: Shopping with Cryptocurrency Privately and Quickly under Consortium Leadership”
ICDCS ‘21 (Acceptance rate: 19.8%) - L. K. L. Ng, S. S. M. Chow
“GForce: GPU-Friendly Oblivious and Rapid Neural Network Inference”
To appear in Usenix Security ‘21 - L. K. L. Ng, S. S. M. Chow, A. P. Y. Woo, D. P. H. Wong, Y. Zhao
“Goten: GPU-Outsourcing Trusted Execution of Neural Network Training”
AAAI ‘21 (Acceptance rate: 21.3% = 1692/7911) - H. W. H. Wong, J. P. K. Ma, D. P. H. Wong, L. K. L. Ng, S. S. M. Chow
“Learning Model with Error – Exposing the Hidden Model of BAYHENN,” IJCAI ‘20 - H. H. F. Yin, K. H. Ng, X. Wang, Q. Cao, L. K. L. Ng
“On the Memory Requirements of Block Interleaver for Batched Network Codes,” IEEE ISIT ‘20 - S. Borhani, J. Kilmarx, D. Saffo, L. Ng, R. Abiri, X. Zhao
“Optimizing Prediction Model for a Noninvasive Brain-Computer Interface Platform Using Channel Selection, Classification, and Regression,” IEEE J-BHI ‘19 - N. Daniel, K. Wong, S. Tomov, L. Ng, S. Chen, A. Gessinger
“MagmaDNN: Accelerated Deep Learning Using MAGMA,” PEARC ‘19
Scholarships & Awards
- Bronze Award of the ASM Technology Award 2018 (HKD 20K & Fully-sponsored Trip to Germany)
- High-quality final year project in engineering
- Wu Yee Sun College’s Master’s List 2015/16, 2016/17, 2017/18
- Topmost student of each major program in college
- Faculty’s Dean’s List 2015/16, 2016/17, 2017/18
- Top in the Faculty of Engineering
- ELITE Stream Student Scholarship 2017/18 (HKD 20K)
- Excellent performance on ELITE courses
- 1978 Mathematics Alumnus Li Sze-lim Scholarship 2017/18 (HKD 25K)
- Full sponsorship for oversea research
- Wu Yee Sun College’s Academic Excellence Scholarship 2016/17 (HKD 10K)
- Top 3 students of each faulty in the college
- CUHK Mathematics Scholarship 2014/15
- $5^{**}$ (the highest attainable grade) in both Maths Core & M2 in HKDSE
Teaching Assistant
- IERG5590 Advanced Topics in Blockchain, Spring 2020
- Blog-like tutorials for smart contract programming
- IERG 5310 Security and Privacy in Cyber Systems, Fall 2018
Tutoring on Research Projects
- Secure DNN Training and Inference with Intel SGX
- Anna Woo (MIE-Elite), Undergraduate Summer Research Intern, 2018/19
- Best Project Award!
- Deep Neural Network in Secure Linux Container with Trusted Processor
- Gary Chow, Donald Wong, Final Year Project, 2018/19
- Best Final Year Project Awards!
- Improving Latency of Secure Neural Network Inference
- Nash Chow, Peter Wong, Final Year Project, 2018/19
Programming Skills
- Programming Languages
- Python (Fluent)
- C/C++ (Fluent)
- Javascript, C#, Java, Go, R, Prolong, PHP, …
- Familiar Frameworks/Libraries