Shuai Yang

Ph.D. student
Artificial Intelligence Thrust, Information Hub
The Hong Kong Univerisity of Science and Technology (Guangzhou)

Email:
shuaiyang5000 [at] gmail [dot] com
syang252 [at] connect [dot] hkust-gz [dot] edu [dot] cn

[Google Scholar] [GitHub]

Biography

Hello! I am currently a PhD student (since 2022) at the AI Thrust, The Hong Kong University of Science and Technology (Guangzhou), under the guidance of Prof. Yingcong Chen. My research interests are in deep learning and computer vision, with a particular focus on efficient deep learning and generative models. I have also had the privilege of working closely with Dr. Yukang Chen.

Previously, I earned my Bachelor's degree from the School of Computer Science and Engineering at Beihang University (BUAA).

Research [Google Scholar]

*: Equal Contribution

Code of Long-RL: Scaling RL to Long Sequences
The third most code contributors for Long-RL Repo.
Yukang Chen, Wei Huang, Shuai Yang, Qinghao Hu, Baifeng Shi, Hanrong Ye, Ligeng Zhu.
[Code]

SEED-Story: Multimodal Long Story Generation with Large Language Model
Shuai Yang, Yuying Ge, Yang Li, Yukang Chen, Yixiao Ge, Ying Shan, Yingcong Chen.

International Conference on Computer Vision HiGen Workshop, 2025
ICCVW, Oral
Huggingface Daily Paper
[Paper] [Model] [Data] [Code]

Defect Spectrum: A Granular Look of Large-Scale Defect Datasets with Rich Semantics
Shuai Yang*, Zhifei Chen*, Pengguang Chen, Xi Fang, Shu Liu, Yingcong Chen.

European Conference on Computer Vision (ECCV), 2024.
[Paper] [Project Page] [Data] [Code]

Low-Rank Approximation for Sparse Attention in Multi-Modal LLMs
Lin Song, Yukang Chen, Shuai Yang, Xiaohan Ding, Yixiao Ge, Yingcong Chen, Ying Shan.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[Paper]

Denoising Diffusion Step-aware Models
Shuai Yang, Yukang Chen, Luozhou Wang, Shu Liu, Yingcong Chen.

International Conference on Learning Representations (ICLR) 2024.
[Paper] [Code]

Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation
Luozhou Wang*, Shuai Yang*, Shu Liu, Yingcong Chen

IEEE/CVF International Conference on Computer Vision (ICCV), 2023
[Paper] [Code]

Experience

NVIDIA Research
Mar 2025 - Present

Research intern working on efficient generative models, manager: Prof. Song Han
ARC Lab, Tencent PCG
Nov 2023 - Jul 2024

Research intern working on multimodal LLM, manager: Dr. Yixiao Ge
Smartmore
Nov 2020 - Aug 2022

Full-time computer vision engineer working on tool-chains, manager: Dr. Shu Liu
Sensetime
Dec 2019 - Jun 2020

Research intern working on neural architecture search (NAS)
University of California, Los Angeles
Jul 2019 - Oct 2019

Research Assistant at AI in Imaging and Neuroscience Lab
Tsinghua University
Sep 2018 - Jun 2019

Research Assistant in School of Software

Honors & Awards

Postgraduate Scholarship, HKUST(GZ)	2022 - 2026
1st place on the challenge of the Third Workshop on Neural Architecture Search (NAS), CVPR2022	2022
Distinguished Graduate, School of Computer Science and Engineering, BUAA	2020
Undergraduate Research Scholarship, BUAA	2019

Academic Services

Conference Reviewer:

ICLR: 25
NeurIPS: 24, 25
ICML: 25
ICCV: 23, 25
CVPR: 24, 25
ECCV: 24

Teaching

AIAA5023 Introduction to Computer Vision, HKUST(GZ)		2023-2024
AIAA5045 Medical Imaging, HKUST(GZ)		2023-2024
Principles of Computer Composition, BUAA		2018-2019
C Programing, BUAA		2017-2018

Personal Interests

Basketball
Lifting
Dota2 (Ranked Immortal, 6500+ MMR)