DianaHuang

Di (Diana) Huang 黄笛

Ph.D. student in Computer Science, University of Southern California

About Me

I am currently a third-year Ph.D. student in Computer Science at University of Southern California(USC). Prior to USC, I got my master degree at Télécom Paristech in France and my bachelor degree at Zhejiang University in China.

My research focus is on Graph Embedding, Representation Learning and Deep Learning. I am interested in analyzing large social networks from graph embedding perspective, exploring and understanding graph representation.

Preprints

Graph Representation Ensemble Learning Github

Di Huang*, Palash Goyal*, Sujit Rokka Chhetri*, Arquimedes Canedo*, Jaya Shree, Evan Patterson

ArXiv

Benchmarks for Graph Embedding Evaluation Github

Di Huang*, Palash Goyal*, Ankita Goswami, Sujit Rokka Chhetri, Arquimedes Canedo, Emilio Ferrara

ArXiv

Publications

Mitigating Biases in Multimodal Personality Assessment

Shen Yan, Di Huang, Mohammad Soleymani

ICMI'20

Graph Embedding with Personalized Context Distribution

Di Huang*, Zihao He*, Yuzhong Huang*, Kexuan Sun*, Sami Abu-El-Haija, Bryan Perozzi, Kristina Lerman, Fred Morstatter, Aram Galstyan

DL4G, Workshop of WWW'20

Understanding Cyberbullying on Instagram and Ask. fm via Social Role Detection

Hsien-Te Kao, Shen Yan, Di Huang, Nathan Bartley, Homa Hosseinmardi, Emilio Ferrara

CyberSafety, Workshop of WWW'19

Massive Multi-agent Data-Driven Simulations of the GitHub Ecosystem

Jim Blythe, John Bollenbacher, Di Huang, Pik-Mai Hui, Rachel Krohn, Diogo Pacheco, Goran Muric, Anna Sapienza, Alexey Tregubov, Yong-Yeol Ahn, Alessandro Flammini, Kristina Lerman, Filippo Menczer, Tim Weninger, Emilio Ferrara

PAAMS'19

The DARPA SocialSim Challenge: Massive Multi-Agent Simulations of the Github Ecosystem

James Blythe, Emilio Ferrara, Di Huang, Kristina Lerman, Goran Muric, Anna Sapienza, Alexey Tregubov, Diogo Pacheco, John Bollenbacher, Alessandro Flammini, Pik-Mai Hui, Filippo Menczer

AAMAS'19

ArduCode: Predictive Framework for Automation Engineering

Di Huang*, Arquimedes Canedo*, Palash Goyal*, Amit Pandey

IEEE Transactions on Automation Science and Engineering, 2020

*equal contribution

Research Projects

DARPA LAG-MD: Deep Learning Agents and Game Theory for Military Decision-Making

DARPA COSINE: Cognitive Online Simulation of Information Network Environments

Cognitive behavioral modeling of social systems: Github, Twitter, Reddit

Internships

Google Research - Summer SWE Intern (May.2020 - Aug.2020)

Use social graph signals with GCNs for news classification

Siemens Corporate Technology - Summer Research Intern (May.2019 - Aug.2019)

Graph ensemble representation learning and its optimization

University of California, Los Angeles - Graduate Research Assistant (Jun.2017 - Sept.2017)

Supervisor: Dr.Wotao Yin

Accomplished an Asynchronous-Parallel solver to solve the Second Order Cone Programming problem involving Arock with Chambolle-Pock Algorithm; Designed distributed and scalable architecture and attained communication between a server and several workers with OpenMPI

State Grid Corporation of China - Summer Intern (Aug.2015)