Invited talks will bring research and deployment perspectives on item ID design. Talk titles and abstracts will be announced.
Senior Researcher · Huawei
Huifeng Guo’s research spans deep learning, generative recommendation, semantic indexing, AutoML, and graph learning, with a focus on search, recommendation, and computational advertising. His work includes DeepFM, widely adopted in industry and academia.
Talk title and abstract: to be announced.
Director of AI, Principal Scientist · Pinterest
Neil Shah is Director of AI and Principal Scientist at Pinterest, where he leads applied research and engineering teams spanning user understanding, content understanding, and exploration. His research includes graph and sequential representation learning, generative recommendation, and large language and foundation models for personalization and safety. Previously, he led user modeling and personalization research at Snap. He received his PhD in Computer Science from Carnegie Mellon University.
Talk title and abstract: to be announced.
Further speaker announcements will be shared here.