About Me
I am Hongli Shen (沈泓立), an undergraduate student majoring in Computer Science at Southern University of Science and Technology (SUSTech), with a GPA of 3.89/4.00. I also attended the NUS School of Computing Summer Workshop in 2025.
I am currently an Algorithm Intern in the Foundation Model Group at KNOWIN AI, working closely with Dr. Binghui Xie on embodied spatial intelligence and multimodal robot-data pipelines. Previously, I was a research intern at King Abdullah University of Science and Technology (KAUST), where I worked under the supervision of Prof. Di Wang and was mentored by Shaopeng Fu.
My research interests include large language models (LLMs), large reasoning models (LRMs), LLM agents, and embodied AI. I am actively looking for internship opportunities in both industry and academia. Please feel free to reach me via Email or WeChat.
AI Researcher
- Large language models, LRMs, and LLM agents
- Model training, alignment, and evaluation
- Embodied spatial intelligence, multimodal robot data, and world models
- Seeking research internships in industry and academia
Football Player
- Captain of
Shuli College Football Team - Member of the
SUSTech University Football Team - Center-back and right-back (though I have always seen myself as a creative player)
Bayern Munich /
Manchester United fan
Publications
Dual-Adversarial Safety Alignment: Cultivating Intrinsic Threat Comprehension in LRMs
Hongli Shen*, Shaopeng Fu*, Qinbo Zhang, Jian Li, Di Wang.
* Equal contribution.
COph100: A comprehensive fundus image registration dataset from infants constituting the “RIDIRP” database
Yan Hu, Mingdao Gong, Zhongxi Qiu, Jiabao Liu, Hongli Shen, Mingzhen Yuan, Xiaoqing Zhang, Heng Li, Hai Lu, Jiang Liu.
Education

Southern University of Science and Technology
GPA: 3.89/4.00; Rank: 12/152.

NUS School of Computing Summer Workshop
Grade: A-.
Internship
KNOWIN AI
Foundation Model Group. Mentor: Dr. Binghui Xie.
Working on embodied spatial intelligence and multimodal robot-data pipelines.
Research Experience

Renmin University of China
Advisor: Shaolei Zhang. Research direction: LLM agents and environment scaling.

KAUST PRADA Lab
Advisor: Prof. Di Wang. Research direction: LLM safety and large reasoning models.

SUSTech iMed Lab
Advisor: Prof. Jiang Liu. Research direction: medical image processing.
Football

SUSTech University Football Team
11 appearances, 2 goals.

Shuli College Football Team
12 appearances, 3 goals. Team Website

Shuli College Freshman Team
– : 2 appearances, 0 goals.
(Captain): 3 appearances, 1 goal.
Awards
2026
SUSTech Outstanding Student Scholarship, Second Prize
Southern University of Science and Technology
20242025
SUSTech Outstanding Student Scholarship, First Prize
Southern University of Science and Technology
20242025
Sports Star of Shuli College
Shuli College, SUSTech
2024
China Undergraduate Mathematical Contest in Modeling, Guangdong Provincial Third Prize
CUMCM Guangdong Division
2023
SUSTech Freshman Scholarship
Southern University of Science and Technology

