Xiaochen Zhu
Research Assistant at NUS Computing- Claim this Profile
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Topline Score
Bio
Credentials
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Outstanding Undergraduate Researcher Prize
National University of SingaporeJun, 2023- Nov, 2024 -
Algorithms & Theory Focus Area (Distinction)
National University of SingaporeJan, 2023- Nov, 2024 -
Outstanding Computing Project Prize
National University of SingaporeJun, 2022- Nov, 2024 -
Artificial Intelligence Focus Area (Distinction)
National University of SingaporeFeb, 2022- Nov, 2024 -
Orbital - Apollo 11 (Advanced)
National University of SingaporeAug, 2020- Nov, 2024
Experience
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NUS Computing
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Singapore
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Higher Education
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1 - 100 Employee
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Research Assistant
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Jul 2023 - Present
Hosted by Prof Xiaokui Xiao.
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Research Assistant
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Aug 2021 - Jun 2023
I am a research assistant hosted by Prof Xiao Xiaokui, working on data privacy and machine learning, in particular, federated learning, differential privacy and graph neural networks.
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National University of Singapore
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Singapore
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Higher Education
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700 & Above Employee
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Teaching Assiatant
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Jan 2020 - Present
I've been working as a teaching assistant at NUS since my second semester, and have been teaching 5 different modules. Usually, I taught tutorials and/or marked assignments. More details are listed below. AY19/20 Semester 2: Teaching assistant for CS2030 Programming Methodology II. AY20/21 Semester 1: Teaching assistant for CS1231S Discrete Structures. Teaching assistant for CS3243 Introduction to Artificial Intelligence. AY20/21 Semester 2: Teaching assistant for CS1231S Discrete Structures. Teaching assistant for CS2030S Programming Methodology II. AY21/22 Semester 1: Teaching assistant for CS1231S Discrete Structures. AY21/22 Semester 2: Teaching Assistant for CS3230 Design and Analysis of Algorithms. AY22/23 Semester 1: Teaching Assistant for CS3230 Design and Analysis of Algorithms. AY23/24 Semester 1: Teaching Assistant for DSA3102 Convex Optimization. Show less
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ByteDance
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China
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Software Development
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700 & Above Employee
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Software Engineer Intern
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May 2022 - Aug 2022
I worked as a software engineer intern at ByteDance's Privacy and Data Protection Office. Tech stack: backend with Go, hertz, thrift and GORM with MySql for database; frontend with React. In Privacy Whitepaper project, I refactored classification pipeline to allow user define and specify mapping methods in RoPA generation, and rewrote data merging and classification functionalities from Python to Go, with around 4x speedup. I maintained Gatekeeper (a project for A/B testing and access control) during reorg to support decision making, where I produced a detailed technical design document and refactored the code base. Also, I led a team of four to develop a dataframe package in Go with pandas functionalities and pandas-like API, with a focus on reducing RAM usage for dataframes and operations at scale. At last, I documented current research advances in data privacy and delivered a presentation on differential privacy to engineers in the department to promote awareness of data privacy research. Show less
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Institute for Mathematical Sciences
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Singapore
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Higher Education
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Research Project Coordinator
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May 2021 - Jul 2021
Under RIPS 2021 held by Institute for Mathematical Sciences, I, as the project coordinator for a research team sponsored by Google, worked closely with people from Google AI, to do a research project on private deep learning in a dual-party financial system environment. As a researcher, I proposed, proved the correctness of, implemented (with TensorFlow) and experimented a vertical federated learning algorithm solving classification problems on vertically partitioned datasets by updating the gradients locally. As the project coordinator, I was also responsible for project management, including scheduling, assigning tasks and coordinating with the Institute and Google. Show less
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Education
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National University of Singapore
Bachelor of Computing with Honours (Highest Distinction), Computer Science -
National University of Singapore
Bachelor of Science with Honours (Highest Distinction), Mathematics -
College of Alice & Peter Tan