Hong Huang
Ph.D. Student
@ Simon Fraser University
About Me

I'm Hong Huang, a first-year Ph.D. student in DeLTA Lab at Simon Fraser University, advised by Prof. Wuyang Chen. Previously, I worked closely with IEEE Fellow Prof. Yefeng Zheng, and I received my B.S. with honors in Computer Science from Shandong University in 2024.

If you have any shared research interests or topics you'd like to chat about, please feel free to email me. I am always happy to explore potential collaborations and engage in insightful conversations.

Research Overview

My research interests include:

  • 3D Vision: 3D reconstruction and 4D generation, visual generation of 4D physical world.
  • Physics-Informed Computer Vision: Learning 3D or video models integrated with physics knowledge and numerical simulation.
News
2025
We release two technical reports about LLM Safety!
Aug 01
One paper has been accepted by IROS 2025!
Jun 01
One paper has been accepted by IJCNN 2025!
Apr 01
2024
Awarded BS Honors Student from Shandong University.
Jun 01
Selected Publications (view all )
SafeWork-R1: Coevolving Safety and Intelligence under the AI-45° Law
Technical Report
SafeWork-R1: Coevolving Safety and Intelligence under the AI-45° Law

Shanghai AI Lab.

Technical Report 2025

Shanghai AI Lab technical report on coevolving safety and intelligence under the AI-45° Law.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45° Law

Shanghai AI Lab.

Shanghai AI Lab technical report on coevolving safety and intelligence under the AI-45° Law.

Technical Report
Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report
Technical Report
Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report

Shanghai AI lab.

Technical Report 2025

Shanghai AI Lab technical report on frontier AI risk management framework in practice.

Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report

Shanghai AI lab.

Shanghai AI Lab technical report on frontier AI risk management framework in practice.

Technical Report
Non-Overlap-Aware Egocentric Pose Estimation for Collaborative Perception in Connected Autonomy
IROS 2025
Non-Overlap-Aware Egocentric Pose Estimation for Collaborative Perception in Connected Autonomy

Hong Huang; Dongkuan Xu; Hao Zhang; Peng Gao.

2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2025 Oral

Non-overlap-aware egocentric pose estimation for collaborative perception in connected autonomy.

Non-Overlap-Aware Egocentric Pose Estimation for Collaborative Perception in Connected Autonomy

Hong Huang; Dongkuan Xu; Hao Zhang; Peng Gao.

Oral

Non-overlap-aware egocentric pose estimation for collaborative perception in connected autonomy.

IROS 2025
IQE-CLIP: Instance-aware Query Embedding for Zero-/Few-shot Anomaly Detection in Medical Domain
ArXiv 2025
IQE-CLIP: Instance-aware Query Embedding for Zero-/Few-shot Anomaly Detection in Medical Domain

Hong Huang; Weixiang Sun; Zhijian Wu; Jingwen Niu; Donghuan Lu; Xian Wu; Yefeng Zheng.

ArXiv 2025

Instance-aware query embedding for zero-/few-shot anomaly detection in medical domain.

IQE-CLIP: Instance-aware Query Embedding for Zero-/Few-shot Anomaly Detection in Medical Domain

Hong Huang; Weixiang Sun; Zhijian Wu; Jingwen Niu; Donghuan Lu; Xian Wu; Yefeng Zheng.

Instance-aware query embedding for zero-/few-shot anomaly detection in medical domain.

ArXiv 2025
Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time
ArXiv 2025
Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time

Hong Huang*; Jingxuan Xu*; Chuhang Zou; Manolis Savva; Yunchao Wei; Wuyang Chen. (* equal contribution)

ArXiv 2025

Hybrid neural-MPM approach for interactive fluid simulations in real-time.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time

Hong Huang*; Jingxuan Xu*; Chuhang Zou; Manolis Savva; Yunchao Wei; Wuyang Chen. (* equal contribution)

Hybrid neural-MPM approach for interactive fluid simulations in real-time.

ArXiv 2025
Style-Consistent 3D Indoor Scene Synthesis with Decoupled Objects
IJCNN 2025
Style-Consistent 3D Indoor Scene Synthesis with Decoupled Objects

Yunfan Zhang; Hong Huang; Zhiwei Xiong; Zhiqi Shen; Guosheng Lin; Hao Wang; Chan Hua Vun.

2025 International Joint Conference on Neural Networks (IJCNN) 2025

Style-consistent 3D indoor scene synthesis with decoupled objects.

Style-Consistent 3D Indoor Scene Synthesis with Decoupled Objects

Yunfan Zhang; Hong Huang; Zhiwei Xiong; Zhiqi Shen; Guosheng Lin; Hao Wang; Chan Hua Vun.

Style-consistent 3D indoor scene synthesis with decoupled objects.

IJCNN 2025
All publications
Experience
  • 2025.04 - 2025.07
    Shanghai AI Lab
    Shanghai AI Lab
    Research Intern (Mentor: Dongrui Liu)
  • 2024.09 - 2025.04
    Westlake University
    Westlake University
    Research Intern (Advisor: Yefeng Zheng)
  • 2024.10 - 2025.03
    North Carolina State University
    North Carolina State University
    Remote Research Intern (Advisor: Peng Gao)
Education
  • Sep. 2025 - Present
    Simon Fraser University
    Simon Fraser University
    DeLTA Lab
    Ph.D. Student
  • Sep. 2020 - Jun. 2024
    Shandong University
    Shandong University
    B.S. in Computer Science (with honors)
🏆 Honors & Awards
  • BS Honors Student, Shandong University
    2024.06
  • Outstanding Graduate, Shandong University
    2024.01
Teaching
  • CMPT 419/983 Fluid Simulation for Computer Graphics (Teaching Assistant) Fall 2025
    Simon Fraser University