Peking University - China
Author Profile
SCOPUS
đź“š Early academic pursuits
Hao tang began his academic journey at peking university (pku), where he pursued a master’s degree in computer application technology under the mentorship of prof. hong liu from 2013 to 2016. his foundational education at pku laid the groundwork for his future endeavors in computer vision and artificial intelligence. during this period, he honed his skills in computer science, which later became pivotal in his research and professional career.
🏛️ Professional endeavors
after completing his m.s. at peking university, hao tang embarked on a diverse and global academic career. he earned his ph.d. at the university of trento, italy, under the guidance of prof. nicu sebe in the multimedia and human understanding group (mhug). following his ph.d., he joined eth zurich as a postdoctoral fellow, working closely with prof. radu timofte and prof. luc van gool at the computer vision laboratory (cvl). his postdoctoral journey continued at carnegie mellon university (cmu) in the usa, where he contributed to the robotics institute under prof. fernando de la torre. currently, hao tang serves as an assistant professor at the school of computer science at peking university, marking his return to his alma mater with a tenure-track position.
🔬 Contributions and research focus
hao tang’s research spans across multiple facets of artificial intelligence and computer science, with a strong focus on aigc (ai-generated content), ai4science, large language models (llm), computer vision, machine learning, and embodied ai. his work has been influential in advancing the Computer Vision and Pattern Recognition capabilities of ai in various domains, particularly in the intersection of machine learning and computer vision. his contributions are well-documented in his extensive list of publications, including significant papers on motion generation, medical image segmentation, and efficient pruning of large language models.
🏆 Accolades and recognition
hao tang’s work has garnered recognition in the global academic community. his academic journey is marked by prestigious positions at some of the world’s leading institutions, including eth zurich, carnegie mellon university, and peking university. his publications, often featured in high-impact journals and conferences, reflect his significant contributions to the field of computer science. the impact of his research is further Computer Vision and Pattern Recognition highlighted by his role as a corresponding author on several influential papers.
🌍 Impact and influence
the influence of hao tang’s research extends beyond academia, contributing to the broader field of artificial intelligence and its applications in science and technology. his work on aigc and ai4science, in particular, has paved the way for innovative approaches in ai-driven content Computer Vision and Pattern Recognition generation and scientific discovery. his research on large language models and computer vision has had a profound impact on the development of more efficient and effective ai systems, influencing both academic research and practical applications in the industry.
🧠Legacy and future contributions
hao tang’s career is still in its early stages, but his contributions have already left a lasting legacy in the field of computer science. as an assistant professor at peking university, he is poised to continue his research and mentor the next generation of computer scientists. his work promises to push the boundaries of ai and machine learning, with potential future contributions that could further revolutionize these fields. his ongoing research and academic endeavors suggest a bright future filled with impactful discoveries and innovations.
Notable Publications