About Me

Hi! I am Jiazhe Wei (魏佳哲), an incoming master student majoring in Artificial Intelligence at Nanjing University and doing research at Pattern Recognition Lab @NJU, supervised by Prof. Chenyang Si and Prof. Tieniu Tan.

I have completed research internships at CERN, Westlake University, and Lovart.AI, and I’m currently interning in the Video Generation Foundation Group at WeChat Vision @ Tencent, where I work with Dr. Binxin Yang and Dr. Chen Li on video editing foundation training and world models. These experiences across fundamental science, academia, and industry have shaped my pursuit of controllable and efficient generative intelligence. Concretely, my research interests focus on: 1) Visual representation learning; 2) World Foundation Models; 3) Highly controllable generative modeling; 4) Unified Multi-modal Learning.

I’m always open to all kinds of cooperation and discussion. You can contact me via email or WeChat: wjz_void.

News

  • 2026.04: 🏆 Awarded the Outstanding Graduate by XJTU.

  • 2025.12: 🎉 PosterCopilot is now available on arXiv, code is under construction.

  • 2025.09: 🏆 Awarded CCF Elite Collegiate Award of 2025. See you in Harbin.

  • 2025.07: 🎉 ALM-PU is accepted by ECML-PKDD 2025 as oral presentation. Thanks to all co-authors. See you in Porto, Spain.

  • 2025.02: 🎉 NI-GDBA is accepted by WWW 2025 as oral presentation. Congratulations to Ken Li! See you in Sydney, Australia.

Publications

Preprint
PosterCopilot

PosterCopilot: Toward Layout Reasoning and Controllable Editing for Professional Graphic Design
arXiv, 2025
Jiazhe Wei*, Ken Li*, Tianyu Lao, Haofan Wang, Liang Wang, Caifeng Shan, Chenyang Si
[PDF] [Project Page] [Code]

TL;DR: We introduce PosterCopilot, the first graphic design framework that fully integrates visual feedback with human aesthetics. Leveraging our Generative Agent and the design model’s powerful reasoning capabilities, it enables layer-level, multi-round, high-fidelity editing.

Oral
ALM-PU

ALM-PU: Positive and Unlabeled learning with constrained optimization
ECML-PKDD, 2025
Jiazhe Wei*, Yuefei Wu*, Ken Li, Bo Dong, Bin Shi†
[PDF] [Code]

TL;DR: We propose a novel constraint optimization-based PU-learning framework, which enhances sample discrimination capability by imposing distinct mathematical constraints on samples and resolving the problem through systematic optimization.

Oral
NI-GDBA

NI-GDBA: Non-Intrusive Distributed Backdoor Attack Based on Adaptive Perturbation on Federated Graph Learning
WWW, 2025
Ken Li, Bin Shi, Jiazhe Wei, Bo Dong
[PDF]

TL;DR: We propose a non-intrusive graph distributed backdoor attack (NI-GDBA) that does not require backdoor triggers to be injected in the training data.

* Equal contribution. † Corresponding author.

Internships

WeChat Vision @ Tencent

WeChat Vision @ Tencent, Video Generation Foundation Group

2026.05 - Present, Research Intern, Shenzhen, China

Research Topics: Video Editing Foundation Model Training, World Models

Working with Dr. Binxin Yang and Dr. Chen Li


lovart

Lovart, AIGC Research Team

2025.08 - 2026.05, Intern Research Scientist, Shanghai, China

Research Topics: 1) Interactive Image Editing, 2) Efficient Generative Models, 3) Multi-modal learning

Working with Haofan Wang.


LinsLab

LinsLab, Learning and Inference Systems Lab, Westlake University & Zhejiang University

2024.11 - 2025.02, Visiting Student, Hangzhou, China

Research Topics: Efficient Diffusion Models and Flow Matching Models

Working with Prof. Tao Lin and Dr. Peng Sun


CERN

European Organization for Nuclear Research & CERN

2025.01 - 2025.02, Visiting Student, Geneva, Switzerland

Supervised by Prof. Zhili Weng


BDKElab

BDKElab, Xi'an Jiaotong University

2023.09 - 2024.10, Research Assistant, Xi'an, China

This was a period filled with bitterness and twists and turns -- a detour I had to take in my research career. Despite this, I remain grateful for the experience, as it taught me early on what kind of taste an independent researcher should cultivate, what abilities they must possess, and the importance of reaching outward to embrace the whole world.

My Projects

Gallery

Honors and Awards

  • 2026 Outstanding Gratuate by XJTU

  • 2025 CCF Elite Collegiate Award, Awarded to 99 top Chinese undergraduates major in CS&AI nationwide

  • 2024 Baosteel Outstanding Student Scholarship, Awarded to 400 top Chinese undergraduates & graduates nationwide

  • 2024 350 points, ranked in top 2% nationwide, CCF Certified Software Professional (CSP)

  • 2024 National Third Prize 🥉, Blue Bridge Cup National Software and Information Technology Professionals Competition

  • 2023 Gold Medal 🥇, Baidu — A star Programming Competition

  • 2023 First Scholarship for Outstanding Students

  • 2023, 2024, 2025 Dean’s List

  • 2023 Silver Medal, (CCPC) China Collegiate Programming Contest National Invitational Contest

  • 2023 HuaWei Scholarship

  • 2023 National Third Prize, Chinese College Students English Academic Proficiency Competition

Education

XJTU

Xi'an Jiaotong University (XJTU), China

2022.09 - 2026.06 (expected)

B.Eng. in Computer Science and Technology (Qian Xuesen Honor Class)

• GPA: 91.97 / 100

• Ranking: 3/43

Talks & Reports

Service

  • Reviewer: AAAI 2025, ECML-PKDD 2025

  • Co-Founder of XJTU Deep Learning Seminar


Latest updated in Dec. 2025

© Jiazhe Wei