Organizers

Tan Yu is a Senior Staff Machine Learning Engineer in the Enterprise AI team at NVIDIA. His research focuses on information retrieval, recommendation system and multi-modal understanding. He has published 40+ research articles in top-tier conferences and journals including SIGKDD, CIKM, SIGIR, CVPR, ICCV, IJCV, ICLR, ECCV, EMNLP, NAACL, AAAI, IJCAI. He was a Staff Machine Learning Engineer in TikTok Advertisements Recommendation and a Senior Research Scientist in Baidu USA.

Min Du is s a Senior Staff Machine Learning Engineer in the Enterprise AI team at NVIDIA. She received her Ph.D. degree from University of Utah, followed by a Postdoc as UC Berkeley. Her research in AI, security and privacy has been published in various top venues with 3,000 citations. She has served on the Program Committee for multiple workshops in various top conferences including ICLR and IEEE S\&P. She received a best poster award at SoCC 2017, and a best paper award at ICPE 2022. She was named as a Rising Star in EECS in 2019.

Pritam Gundecha is a Senior Staff Data Scientist at NVIDIA for last two years. He obtained his PhD in Computer Science at the Arizona State University in 2015. Before he joined NVIDIA, he worked at HP Enterprises and IBM Research as a research staff member.  He has a strong background in researching, developing and deploying large-scale deep-learning solutions in production. His research interests are in Generative AI and its applications, Deep Learning, Machine learning and natural language processing. His well cited publications include book, encyclopedia entries as well as patents, conference and journal papers.

Yufan Guo is an Applied Science and Engineering Manager at Amazon, building foundation models to improve online shopping experience. Prior to Amazon, she was a Research Staff Member at IBM, where her work combined natural language processing, medical image analysis, healthcare informatics, and insights from cognitive computing. Yufan holds a PhD in Computation, Cognition and Language and an MPhil in Computer Speech, Text and Internet Technology from the University of Cambridge.

May Wang is the CTO of IoT Security at Palo Alto Networks, a multinational cybersecurity company. She is leading AI initiatives across multiple security domains. She co-founded Zingbox which was acquired by Palo Alto Networks in 2019 for its AI-based IoT security solutions. Dr. Wang holds a Ph.D. in electrical engineering from Stanford University. She received numerous awards, including the prestigious 2023 Women in AI Entrepreneur award from VentureBeat.

Ping Li is CEO of VecML. He is a PhD from Stanford, a former Distinguished Engineer at LinkedIn, and a former Chief Architect at Baidu (with teams in Bellevue, Sunnyvale, Beijing). Ping Li was also a professor at Cornell and Rutgers Universities and was listed by www.csrankings.org as a top researcher in machine learning and information retrieval.

Xinyun Chen is a Senior Research Scientist at Google DeepMind. She received her Ph.D. from UC Berkeley. Her research focuses on large language models, reasoning, code generation, and trustworthy machine learning. Her work SpreadsheetCoder for spreadsheet formula prediction was integrated into Google Sheets, and her work AlphaCode was featured as the front cover in Science Magazine. She has co-organized 14 workshops and tutorials at ICLR, ICML, CVPR, ECCV, ICCV, AAAI, etc. In particular, she co-organized the LLM agents workshop at ICLR 2024, and she is a co-chair of AISec 2022 and 2023.