Zexi Huang (黄泽熙)
PhD Student

Welcome, my name is Zexi Huang. I am a PhD student at the Department of Computer Science, University of California, Santa Barbara (UCSB), starting from Fall 2018. Before joining UCSB, I received my Bachelor's Degree in Computer Science and Technology with the highest honor at Yingcai Honors College (elite school of top 5% undergraduates), University of Electronic Science and Technology of China (UESTC). During my undergraduate years, I spent half a year as a visiting research assistant at the School of Computer Science and Engineering, Nanyang Technological University (NTU), and enjoyed a nice semester as an exchange student at the College of Electrical and Computer Engineering, National Chiao Tung University.

 

My research interests span the analysis of social, informational, and biological networks with machine learning and data mining techniques. At UCSB, I work in Dynamic Networks: Analysis and Modeling (Dynamo) Lab, with Prof. Ambuj Singh as my advisor. My current research topic is network embedding and dynamics. Previously, I have interned at Books Tech, Amazon, as an Applied Scientist working on graph-based fraud detection in Kindle Direct Publishing. I have also interned at Computational Intelligence Lab, NTU on transfer learning framework for community detection in multiplex networks. As an undergraduate, I was a research assistant at Data Mining Lab, Big Data Research Center, UESTC, with Prof. Junming Shao as my advisor. I worked on dynamics-based algorithms for detecting overlapping communities at that time.

News

Oct. 2020

First paper on graph embedding submitted to WWW'21, fingers crossed!

Sep. 2020

I have finished a nice internship as an Applied Scientist at Amazon Books Tech team!

Sep. 2020

I am selected as the Computer Science Department Lead TA at UCSB for the year 2020-2021!
Education

Sep. 2018 - Exp. Jun. 2023

College of Engineering, University of California, Santa Barbara
Doctor of Philosophy in Computer Science
  • Course GPA: 4.0/4.0.
  • Advisor: Prof. Ambuj Singh. Research topics: Network Science, Machine Learning, Data Mining.

Sep. 2014 - Jun. 2018

Yingcai Honors College, University of Electronic Science and Technology of China
Bachelor of Engineering in Computer Science and Technology (Honors)
  • GPA: 3.96/4.0, Avg. Score: 92.79/100 (1/90 in freshman year, 1/87 in sophomore year, 1/93 in junior year).
  • Advisors: Prof. Junming Shao and Prof. Sinno Jialin Pan. Thesis: Transfer Learning for Community Detection.

Feb. 2016 - Jun. 2016

College of Electrical and Computer Engineering, National Chiao Tung University
Exchange Student
  • GPA:4.0/4.0, Avg. Score: 96.44/100, Straight A+.
Work Experience

Jun. 2020 - Sep. 2020

Applied Scientist Intern, Books Tech, Amazon
Graph-based Fraud Detection in Kindle Direct Publishing
  • Proposed to augment existing fraud detection methods with graph-based machine learning models in Kindle Direct Publishing.
  • Designed and implemented various heuristics and an embedding framework for attributed heterogeneous multiplex networks.
  • The models are deployed to graphs with millions of nodes and billions of edges in production. Validation results show that they can surface up to 15 times more fraud compared to the existing processes.

Sep. 2017 - Feb. 2018

Research Intern, Computational Intelligence Lab, Nanyang Technological University
Transfer Learning for Community Detection in Multiplex Networks
  • Proposed to refine community detection results in some layers with transferred knowledge from other layers in multiplex networks.
  • Designed a representation-based community detection framework and implemented it with an extended symmetric NMF approach.
  • Our algorithm outperforms other representation-based community detection algorithms, especially when the target layer is noisy.
Research Experience

Sep. 2018 - Oct. 2020

Graph Representation Learning Based on Random Walks
Advised by Prof. Ambuj Singh, at Dynamic Networks: Analysis and Modeling Lab, UCSB
  • Paper submitted to WWW’21. Details omitted for double-blind review.

Jan. 2020 - Aug. 2020

Prospect Theory for Group Decision Making Dynamics
Advised by Prof. Ambuj Singh, at Dynamic Networks: Analysis and Modeling Lab, UCSB
  • Extended the Prospect Theory to model group-level risky decision making dynamics with an interpersonal influence system.
  • Results on two human-subject experiments show that the group behavior shifts towards consensus and is explained by the influence.

Jul. 2016 - Aug. 2017

Overlapping Community Detection Based on Game Theory-incorporated Label Propagation Dynamics
Advised by Prof. Junming Shao, at Data Mining Lab, Big Data Research Center, UESTC
  • Proposed an intuitive algorithm for fast overlapping community detection in networks.
  • Introduced gain and loss functions from game theory to model the intrinsic dynamics between nodes.
  • Results are comparable to state-of-the-art algorithms.
Teaching Experience

2020 - 2021

Lead Teaching Assistant
Department of Computer Science, UCSB

Fall 2019

Teaching Assistant, CS 130A: Data Structures and Algorithms
Department of Computer Science, UCSB

Spring 2019

Co-designer and Instructor, Machine Learning Workshops
LMU/UCSB Junior Nanotech Network PhD Student Exchange and Symposium

Winter 2019

Teaching Assistant, CS 8: Introduction to Computer Science
Department of Computer Science, UCSB

Fall 2018

Teaching Assistant, CS 174A/174N: Fundamentals of Database Systems
Department of Computer Science, UCSB
Relevant Skills
Programming
  • Python, Matlab, Java, C/C++, SQL, Cypher, LaTeX, Verilog, ARM
Languages
  • Chinese (native), English (fluent), German (basic)
Honors & Awards

Sep. 2018

Computer Science Outstanding Scholar Fellowship at UCSB
6%, top four out of 63 admitted PhD students, $10,000

Sep. 2018

Computer Science Academic Excellence Fellowship at UCSB
$2,000

Jun. 2018

Outstanding Bachelor Thesis Award of UESTC
10%

Jun. 2018

Tang Lixin Scholarship for Studying Abroad
$1,453

Dec. 2017

The Most Outstanding Students Award of UESTC
0.2%, top 10 out of 5,000 seniors, $2,180

Dec. 2017

Honorary Graduate of Sichuan Province
1%, top one in Yingcai Honors College

Dec. 2017

Honorary Graduate of UESTC
10%, top twelve in Yingcai Honors College

Oct. 2017

National Scholarship of China
0.2%, top two in Yingcai Honors College, $1,162

May. 2017

National English Competition for College Students of China 2017
0.1%, Special Prize in National Final (Level C, for Non-English professionals)

Dec. 2016

People's Scholarship of UESTC
4%, Special Class, top four in Yingcai Honors College, $436

Dec. 2015

Tang Lixin Scholarship of Yingcai Honors College
1%, First Prize, top one in Yingcai Honors College, $4,359

Dec. 2015

Tang Lixin Scholarship of UESTC
0.2%, $1,453 per year until graduation

Dec. 2015

The 7th Chinese Mathematics Competitions
0.05%, 1st out of 1819 selected candidates in Sichuan Province
Extracurricular Activities
  • General Judge of SB Hacks V Hackathon
  • Student Speaker of UESTC Open House for Prospective Students
  • Senior Student Speaker of Yingcai Honors College Opening Ceremony
  • Trainee of Innovation Technologies Training Course at HKUST
  • Member of Academic Group of Tang Lixin Elite Student Club of UESTC
  • Ambassador of Cross-culture Communication Group of UESTC

Last updated on October 28, 2020