IDS Seminar: Discovering components, mechanism, and structure from data
IDS Seminar Room, P603, Graduate HouseDr Eddie Lee, Postdoc Researcher, Complexity Science Hub
IDS Seminar: Brain-network-inspired computing for next generation efficient and sustainable AI
IDS Seminar Room, P603, Graduate HouseProfessor Carlo Vittorio Cannistraci, Professor, Tsinghua Laboratory of Brain and Intelligence (THBI); Adjunct Professor, Department of Computer Science & School of Biomedical Engineering, Tsinghua University
IDS Guest Seminar: Neuro-Symbolic Static Analysis for Reliable Software Systems
IDS Seminar Room, P603, Graduate HouseSpeaker Dr. Chengpeng Wang Post-Doctoral Research Associate, Purdue University
IDS Guest Seminar: Towards Agile, Intelligent and Safe Legged Robots
ZoomSpeaker Mr. Zhongyu Li Ph.D. candidate @ University of California, Berkeley
IDS Guest Seminar: Integrative Analysis and Statistical Inference for High-Dimensional and Heterogeneous Outcomes
IDS Innovation Hub P302Speaker Mr. Jin-Hong Du Ph.D. candidate @ Carnegie Mellon University
IDS Guest Seminar: Integrative Analysis and Statistical Inference for High-Dimensional and Heterogeneous Outcomes
P307 IDS Office, Graduate House, HKUSpeaker Mr. Zu-ming JIANG Ph.D. candidate @ ETH Zurich
IDS Seminar: A generalization of the de Finetti—Hewitt—Savage Theorem on exchangeable processes
IDS Seminar Room, P603, Graduate HouseSpeaker Professor David Schrittesser Professor, Harbin Institute of Technology
HKU IDS Seminar: Pathology and Integrative Genomics for Precision Medicine Research
IDS Seminar Room, P603, Graduate HouseSpeaker Prof Kun HUANG Chair, Department of Biostatistics & Health Data Science Chair, Department of Biostatistics, School of Public Health Precision Health Initiative Professor of Genomics Data Sciences Professor of Biostatistics […]
HKU IDS Seminar: Perception Encoder Meets PerceptionLM: General Visual Understanding from Hidden Features to Open Data
IDS Seminar Room, P603, Graduate HouseSpeaker: Dr Andrea Madotto Research Scientist, Fundamental AI Research, Meta
HKU IDS Guest Seminar: Multi-Scale Sparse Conv Learning for Point Cloud Super-Resolving and Compression
P307 IDS Office, Graduate House, HKUSpeaker Professor Zhu LI Professor, Computer Science & Electrical Engineering (CSEE), University of Missouri, Kansas City; Director of the NSF Center for Big Learning at UMKC