Yue Zhao
Avatar of Yue Zhao
Assistant Professor
Thomas Lord Department of Computer Science

University of Southern California

Los Angeles, CA, USA
Email:

FORTIS Lab Logo FORTIS Lab

FORTIS stands for Foundations Of Robust Trustworthy Intelligent Systems. Derived from the Latin word "fortis," meaning strong or resilient, FORTIS Lab focuses on developing AI systems that emphasize robustness, trustworthiness, and scalability. Addressing challenges like out-of-distribution (OOD) detection, anomaly detection, and structured data analysis, the lab integrates graph learning and generative AI to solve complex problems. Our work spans across domains such as security, finance, healthcare, and AI for Science (AI4Science), driving interdisciplinary breakthroughs with practical, impactful solutions.

1. PhD Openings and Application Guidelines I am happily recruiting 2 PhD students for Fall 2026. We also have openings for undergraduate and graduate interns all the time, both at USC and elsewhere (preferably in North America for time zone compatibility).

  • Important: I only admit Ph.D. students with whom I have previously collaborated. Please reach out well in advance to explore collaboration opportunities. This ensures a mutual fit and is non-negotiable. If unsure, please reach out now.
  • Research Focus: Candidates should align with my core research areas. For details, please visit my research interests.
  • Prerequisites for Ph.D.: Successful candidates typically have:
    • At least one top-tier publication in ML (e.g., NeurIPS, ICML, ICLR), Systems (e.g., MLSys, VLDB, OSDI), or LLMs (ACL, EMNLP, NAACL). This list is not exhaustive.
    • Strong programming skills, demonstrated through research projects or significant open-source contributions.
  • Prerequisites for Research Interns: Successful candidates typically have:
    • At least one top-tier publication in ML (e.g., NeurIPS, ICML, ICLR), Systems (e.g., MLSys, VLDB, OSDI), or LLMs (ACL, EMNLP, NAACL). This list is not exhaustive.
    • Strong programming skills, demonstrated through research projects or significant open-source contributions.

2. Email for Connection and Form Submission - For all positions, please fill out this Google Form: Application Form and also email the following details (subject line: "Interested in PhD/Intern at Fall 25"): Magic Words - please include Trojan in the email title to demonstrate that you have read these instructions carefully.

  • CV: Provide a concise summary of your background and your future plans.
  • Why FORTIS?: Mention any of my research papers or topics that have caught your interest. Additionally, feel free to propose new topics you are interested in exploring. I am always open to innovative ideas and fresh perspectives.

3. Compensation. Ph.D. students will receive the full support (tuition waiver + stipend is $40,000 in 2024-25) outlined by the CS department. TA is always guaranteed, and we will try to give you as many RA as possible. We do not have paid opportunities for undergraduate and master RA; it is not allowed to pay remote interns at USC :( Please consider this before reaching out.

4.1. GPU Clusters. We recently (Nov 2023) bought a new GPU server with AMD EPYC Milan 7763, 64x16=1TB DDR4 memory, 15 TB SSD, 6x NVIDIA RTX A6000 Ada (released Dec 2022; 1.5x faster than A6000). We plan to buy a second GPU server in Fall 2024.

4.2. Cloud Credits. We recently (Aug 2024) get $20,000 AWS credit; thank you, Amazon.


Our Team (Alphabetical by Last Name)

Connect with them: many of my Ph.D. students are looking for internships for Summer 2025 -- please reach out to them (or me for an intro).

Li Li

Li Li

ML, Data Mining

Ph.D. Student (li.li02@usc.edu)

Yuehan Qin

Yuehan Qin

OOD Detection, Time Series

Ph.D. Student (yuehanqi@usc.edu)

Haoyan Xu

Haoyan Xu

GNN, Time Series, Anomaly Detection

Ph.D. Student (haoyanxu@usc.edu)

Tiankai Yang

Tiankai Yang

Anomaly Detection, ML

Ph.D. Student (prior master RA; tiankaiy@usc.edu)


Connect with them: many of the Undergraduate/Master RA are looking for Ph.D./full time job for Fall 2025 -- please reach out to them (or me for an intro).

Peilin Cai

Peilin Cai

Multimodal/Generative AI

Master Student (peilinca@usc.edu)

Jerry Chen

Jerry Chen

CECS, AI Applications

Undergraduate RA (jchen570@usc.edu)

Sihan Chen

Sihan Chen

Intersection of ML and OR

Master Student (schen976@usc.edu)

Huixian Gong

Huixian Gong

ML, Software Dev.

Master Student (huixian@usc.edu)

Xingcan Hu

Xingcan Hu

ML, DL

Undergraduate RA (xh_186@usc.edu)

Bourne Li

Bourne Li

NLP, Distributed Systems

Master Student (jli77629@usc.edu)

Yuangang Li

Yuangang Li

Cloud Computing, ML, Distributed Systems

Master Student (yuangang@usc.edu)

Michael Siu

Michael Siu

CS, Applied Math

Undergraduate CURVE Fellow (siuw@usc.edu)

Alex Qian

Alex Qian

CS, Applied Math

Undergraduate CURVE Fellow (alexqian@usc.edu)

Zhuo Xiao

Zhuo Xiao

Software Engineering, AI/ML

Master Student (zhuoxiao@usc.edu)

Yichi Zhang

Yichi Zhang

Network, Cloud Computing, ML

Master Student (yzhang42@usc.edu)


Past Members

We greatly appreciate the contributions of our past members:

Leo Lee - ML/Database System - Master Student (ltlee@usc.edu)
Jun Jie Ou yang - ML, Robotics - Master Student (ouyangja@usc.edu)

Our Sponsors