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
HKU 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
HKU IDS Guest Seminar: Leveraging Generative Models to Understand the Visual Cortex
P307 IDS Office, Graduate House, HKUProf. Andrew Luo, Ph.D. candidate, Carnegie Mellon University
HKU IDS Guest Seminar: A Bottom-Up Approach towards Generalizable Robot Learning
P307 IDS Office, Graduate House, HKUXingyu LIN, Postdoctoral Scholar, University of California, Berkeley
HKU IDS Guest Seminar: Towards Helpful, Honest, and Harmless Information Communication with Human-Model Alignment and Multi-Cultural Understanding
P307 IDS Office, Graduate House, HKUYi Ren Fung, Ph.D. Candidate, Dept of Computer Science, University of Illinois Urbana-Champaign
HKU IDS Guest Seminar: Compositionality in 3D Content Generation
P307 IDS Office, Graduate House, HKUDr. DAI Bo, Scientist, Shanghai AI Lab
HKU IDS Guest Seminar: Deep-Learning-Enabled Probabilistic Models for Knowledge Discovery
P307 IDS Office, Graduate House, HKUDr Sulin Liu, Postdoctoral Researcher, Massachusetts Institute of Technology
HKU IDS Guest Seminar: Reconstruct a World, Generate a New World
P307 IDS Office, Graduate House, HKUProfessor Shenghua Gao, School of Information Science and Technology, ShanghaiTech University
HKU IDS Guest Seminar: Emergence of Segmentation with Minimalistic White-Box Transformers
P307 IDS Office, Graduate House, HKUYaodong Yu, PhD Student, EECS Department, University of California, Berkeley
HKU IDS Guest Seminar: Query Evaluation under Differential Privacy
P307 IDS Office, Graduate House, HKUWei Dong, Ph.D. Candidate, Department of Computer Science of Engineering, Hong Kong University of Science and Technology
HKU IDS Guest Seminar: Visual Perception and Learning in an Open World
P307 IDS Office, Graduate House, HKUDr Shu KONG, Assistant Professor, Department of Computer Science and Engineering, Texas A&M University
HKU IDS Scholar Seminar Series #1 – Complex network inference: Efficient algorithms and insights for urban spatial segregation
P307 IDS Office, Graduate House, HKUDr. Alec Kirkley, the Musketeers Foundation Institute of Data Science and Department of Urban Planning and Design, HKU