Cissy Xie

legally known as 谢林汐 (Linxi Xie)

prof_pic.jpg

Hi! I’m a first year Ph.D. student at The University of Texas at Austin, co-advised by Prof. Guandao Yang and Prof. Atlas Wang. Previously, I obtained a B.S. in Computer Science from New York University Shanghai and New York University.

I was fortunate to work with Prof. Hongyi Wen and Prof. Shengjie Wang on personalization of diffusion models and machine unlearning for mitigating undesirable data influence in LLMs. I was also a Visiting Student Researcher at the Stanford Computational Imaging Lab, advised by Prof. Gordon Wetzstein, where I worked on video world models.

Outside of research, I am a classically trained flutist and enjoy badminton and diving.

Broadly, my current research centers on two interconnected interests:

  1. Understanding human minds: How can we model human intentions and evolving preferences through multimodal signals and ongoing interactions?
  2. Aligning generative models: How can we use this understanding to make generative models controllable and adaptive to individual needs?

News

2026-08-24
Started my Ph.D. journey at UT, see you in Austin!
2026-04-01
One paper accepted to CVPR Findings, many thanks to all collaborators :purple_heart:
2025-08-21
My paper is accepted to EMNLP Findings
2025-06-26
My first paper is accepted to ICCV 2025! :sparkles:

Research

  1. CVPR
    handctrl.png
    Generated Reality: Human-centric World Simulation using Interactive Video Generation with Hand and Camera Control
    Linxi Xie*, Lisong C. Sun*, Ashley Neall*, and 3 more authors
    Accepted to CVPR 2026 Findings Track
  2. EMNLP
    machineunlearning.jpg
    Reveal and Release: Iterative LLM Unlearning with Self-generated Data
    Linxi Xie, Xin Teng, Shichang Ke, and 2 more authors
    Accepted to EMNLP Findings 2025
  3. ICCV
    imagegem.png
    ImageGem: In-the-wild Generative Image Interaction Dataset for Generative Model Personalization
    Yuanhe Guo*, Linxi Xie*, Zhuoran Chen, and 5 more authors
    Accepted to ICCV 2025

Experience

Aug 2026 - Present

Graduate Research Assistant @ The University of Texas at Austin

Advisor: Prof. Guandao Yang and Prof. Atlas Wang

Personalization in generative models.

Summer 2026

Research Intern @ Tencent

Advisor: Dr. Kai Wang

Parameter generation for personalized LLM.

Summer 2025

Visiting Student Researcher @ Stanford Computational Imaging Lab

Advisor: Prof. Gordon Wetzstein

Video world models with hand and camera control.

2024 - 2026

Undergraduate Research Assistant @ New York University Shanghai

Advisor: Prof. Hongyi Wen and Prof. Shengjie Wang

Personalization of diffusion models and machine unlearning for LLMs.