I have accumulated extensive experience in the research and development of Large Language Models (LLMs) and have published numerous papers in top-tier AI, ML, and NLP conferences.
My primary research interests include:
1) Sentiment Analysis and Question Answering: Enhancing document-level sentiment analysis by incorporating user and product information, utilizing deep learning techniques, and developing unsupervised question answering and question generation methods. Furthermore, I analyze question answering datasets to further refine and improve system performance.
2) Multi-modal Learning: Gaining expertise in various multi-modal learning tasks such as Video Retrieval, Visual Question Answering (VisualQA), Video Question Answering (VideoQA), and the development of multi-modal Large Language Models (LLMs).
Throughout my research journey, I have had the opportunity to work as a research intern at prestigious institutions such as Huawei Noah's Ark Lab and IBM Research-China. These experiences have not only honed my skills in the AI and NLP domains, but have also provided me with invaluable insights into the real-world applications of my work.
As a senior PhD student with a proven track record in cutting-edge research and development, I am eager to contribute to and collaborate with the AI and NLP communities, pushing the boundaries of what can be achieved in these exciting fields. Connect with me to explore potential opportunities and collaborations.