Can Qin is the research scientist at Salesforce AI Research. He earned Ph.D. degree from Northeastern University in Boston at 2023. His research during this period was primarily centered around the realms of Generative AI and Multi-modal Learning. He has been awarded the Best Paper Award in ICCV Workshop on Real-World Recognition from Low-Quality Images and Videos. He also has some top-tier conference papers accepted at NeurIPS, ICLR, CVPR et al with overall > 3000 citations. Before his Ph.D. journey, he obtained my B.E. degree from Xidian University in Xi'an, China at 2018.
Large language models (LLMs) have become foundational to AI code understanding and generation, powering a wide range of enterprise AI workflows — from software synthesis to automated reasoning over symbolic sequences. Despite this…
HIVE is accepted to CVPR 2024. Other authors include: Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong We have seen the success of ChatGPT, which incorporates human…
UniControl is accepted to NeurIPS’23. Other authors include Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, and Yun Fu. Is it possible for a single model to master…
