SMSH Rokib
Master's Student focusing on Machine Learning & AI
Email: rokib@std.uestc.edu.cnEmail ↗
Phone: +8618884801464
I’m Rokib, a master’s student at the University of Electronic Science and Technology of China (UESTC), School of Information and Communication Engineering (SICE). My research focuses on action detection and visual reasoning, aiming to advance machine understanding of human motion and contextual perception.
I completed my bachelor thesis under the supervision of Professor Zhu WeinaProfile ↗ at Yunnan University, where I built a strong foundation in computer vision and deep learning. I’m now pursuing my master’s degree under Professor Jin QiProfile ↗ at UESTC, working on action detection and visual reasoning within intelligent visual systems and adaptive learning frameworks.
I’m particularly interested in integrating neuro-symbolic approaches and continuous learning into large foundation models, particularly large language models (LLMs) and multimodal vision-language models (VLMs) and exploring agentic intelligence in virtual environments. I also enjoy experimenting with lightweight models with a few hundred million to a few billion parameters, such as Gemma and Qwen, to explore how compact architectures can deliver efficient, adaptive reasoning and enable multi-model agent capabilities.
My broader goal is to build AI systems that can reason, adapt, and learn continuously, and to explore their integration into dynamic, interactive virtual worlds where intelligence evolves through experience.
Undergraduate Thesis: Style Transformation with Generative Adversarial Network
Conducted research on the application of Generative Adversarial Networks (GANs) for style transformation in images.
Experimented with various GAN architectures and evaluated their performance on different datasets.
Research on Object Detection and Visual Reasoning Tasks (Sep. 2023 - Present)
University of Electronic Science and Technology of China, Chengdu, Sichuan
• Working on improving algorithms and models for object detection.
• Developing and evaluating methods for visual reasoning tasks.
International Conference on Ubiquitous Communication, Xi'an, 2024
International Student Guest
Presented ongoing research summary on "AU Detection Using HRNet-Transformer Multi-model" at the International Student Workshop. Participated in sessions focused on advancements in ubiquitous communication technologies.
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