关于
兴趣方向
My research interests encompass a diverse range of areas within computer science, with a primary focus on Machine Learning Theory. I am deeply committed to advancing the theoretical foundations of machine learning models, seeking to refine algorithms and push the boundaries of our understanding in this dynamic field. Additionally, I have explored Vector-Based Neural Information Retrieval, delving into the intricacies of information retrieval and representation learning. My work in Computer Vision has allowed me to harness the power of visual data, while my burgeoning interest in Brain-Computer Interface is driven by the profound potential to bridge the gap between human cognition and technology. These interdisciplinary interests underscore my dedication to contributing to cutting-edge research and innovation in the world of artificial intelligence.
机器学习理论
My previous research endeavors have provided me with unique insights into the intricacies of the asynchronous and parallel update of Deep Neural Networks.
向量召回
My work at Huawei further honed my expertise in vector recall, with a particular focus on multi-interest recall and long sequence recall, areas that are highly relevant in the development of advanced BCI systems.
计算机视觉
I also have a strong background in computer vision. I have been involved in projects such as language-to-vision crops and cloud image segmentation, where I applied computer vision techniques to real-world problems, demonstrating my ability to adapt and innovate in diverse research domains.
脑机接口
While I may be relatively new to the field of BCI, my deep passion for this area stems from a belief that the transfer of human consciousness from the physical domain to the digital domain represents the most profound transformation our generation will witness. I am committed to contributing my skills, knowledge, and enthusiasm to this transformative field.