Roxanne Zhang

I am an enthusiastic engineer currently pursuing an MSc in Computer Science at UC San Diego. My long-term interest is to figure out techinical solutions to real-world problems. I have achieved my bachelor's degree at Shanghai Jiao Tong University, advised by Prof. Yanmin Zhu.

I am conducting research on Conversational Recommender Systems using Large Language Models (LLM) in McAuley's lab, led by Prof. Julian McAuley, at UC San Diego. This summer, I am working as a Software Engineer Intern at PlayStation in Aliso Viejo, CA, focusing on cloud streaming.

Email  /  LinkedIn /  Resume  /  Google Scholar  /  Github

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Internships

PlayStation - Sony Interactive Entertainment

Software Engineering Intern

Will develop applications for A/B testing with Java and k8s for cloud streaming on a large-scale distributed system.
playstation

McAuley lab, UC San Diego

Research Assistant

Focusing on the fine-tuning and evaluation of Conversational Recommender system with LLM.

Gemsouls

Software Engineer Intern

Developed an event management system using Go and React to handle transaction scheduling, including push notifications, promotional banner pop-ups, and more.

Implemented RESTful APIs using Django for the Gemsouls iOS app backend, supporting features like pop-up filtering, onboarding recommendations, and batch-adding friends.
Gemsouls

Microsoft, Cloud+AI

Software Engineer Intern

Developed an End-to-End Testing System to identify Azure alerting system malfunctions on its deployment pipeline, successfully preventing SEV2-level incidents, and ensuring system robustness & reliability.
Azure

Unity, Genesis Test

Software Engineer Intern

Developed an End-to-End Testing System to identify Azure alerting system malfunctions on its deployment pipeline, successfully preventing SEV2-level incidents, and ensuring system robustness & reliability.
Unity

Data Interconnection & Intelligence Lab, SJTU

Research Assistant

Proposed cross-domain recommendation frameworks including DCCDR, D3-CDR and CMVCDR.

Awards and Scholarships

Google Women Techmakers Scholarship (2020) (Top 3% applicants)

Shanghai Scholarship (2020) (top 1%)

Shanghai Jiao Tong University Honor Thesis (2023) (top 1%)

COSCO Shipping Scholarship (2021) (top 10%, excellent academic character and achievements)

School Scholarship B Prize at SJTU, 2020-2021 (top 20%)




Publications

Disentangled Contrastive Learning for Cross-Domain Recommendation

Ruohan Zhang, Tianzi Zang, Yanmin Zhu, Chunyang Wang, Ke Wang, Jiadi Yu

DASFAA 2023 [paper]

A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions

Tianzi Zang, Yanmin Zhu, Haobing Liu, Ruohan Zhang, Jiadi Yu

TOIS [paper]

Contrastive Multi-View Interest Learning for Cross-Domain Sequential Recommendation

Tianzi Zang, Yanmin Zhu, Ruohan Zhang, Chunyang Wang, Ke Wang, Jiadi Yu

TOIS [paper]

Dual Disentangled Knowledge Transfer for Cross-Domain Recommendation

Tianzi Zang, Yanmin Zhu, Ruohan Zhang, Chunyang Wang, Ke Wang, Jiadi Yu

TKDD under review

Explicitly Modeling Relationships between Domain-Specific and Domain-Invariant Interests for Cross-Domain Recommendation

Tianzi Zang, Yanmin Zhu, Ruohan Zhang, Jing Zhu, Feilong Tang

WWW Journal under review [preprint]

Projects

Hackthon Project

KittenWarmingNight

A mini app provides secret chatting rooms for users to communication with others and professional mentors.

Course Projects

Fast Matrix Multiplication on CPU & CUDA       

Developed optimized versions of blocked matrix multiplication for an ARM-based CPU and an NVIDIA T4 GPU.

PyTorch-CUDA-Operators-Implementation-and-Optimization       

Implemented matrix multiplication kernel with matrix chunking and shared memory with ≤1.5% error, resulting in a 3% efficiency improvement.

Miscellaneous

I love tennis and have been a super fan of Rafael Nadal since I was 10.

Recently I got into fitness and enjoyed the lift weight pretty well.



Updated at Jun. 2024
Thanks Jon Barron for this amazing template