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ABOUT ME

Jianxiang He 何建翔
MPhil in Artificial Intelligence
Researching multimodal AI at HKUST(GZ) AI+ Lab/HKUST-GZ NLP Group, focusing on video understanding and efficiency optimization
jhe307@connect.hkust-gz.edu.cn
Hong Kong University of Science and Technology (Guangzhou)

I am a Master of Philosophy student at the Hong Kong University of Science and Technology (Guangzhou). My research is supervised by Professor Hui Xiong (Fellow of AAAS, IEEE, CAAI, and AAAI) and Assistant Professor Xuming Hu. I am affiliated with the AI+ Lab/HKUST-GZ NLP Group, specializing in multimodal large language models and reinforcement learning.

My current research focuses on long video understanding, addressing the critical challenge of key frame selection in extended videos. By integrating key frame search algorithms with multimodal fusion techniques, I aim to enhance both efficiency and accuracy in long-video comprehension systems.

I welcome collaborations with scholars working on related topics and enjoy exploring interdisciplinary applications of AI technologies.

I am actively seeking a PhD position for 2026 Fall admission. Please contact me if you have relevant information or opportunities!

EDUCATION

Sept 2020 – June 2024

Shandong University

Bachelor of Engineering in Automation
Undergraduate
CORE COURSES: Natural Language Processing, Image Processing, Machine Learning

RESEARCH INTERESTS

Multi-modal LLM

Exploring unified architectures that integrate visual, textual, and auditory information for more comprehensive AI systems that better understand the complex real world.

Reinforcement Learning

Developing adaptive learning algorithms for sequential decision-making processes, with applications in robotics, automation, and intelligent systems.

Video Understanding

Creating efficient algorithms for temporal modeling and key-frame selection in long-duration videos, enabling advanced content analysis and retrieval systems.

NEWS

IEEE ROBIO 2022
The development of spiking neural network: A review
Jianxiang He, Yanzi Li, Yingtian Liu, et al.
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