Programme
Programme
Day 1
08:45 — 09:15
Registration and welcome coffee
09:15 — 09:30
Opening remarks: Christopher Chao, Vice President, Hong Kong Polytechnic University
09:30 — 10:30
Particle Filtering: Past, Present, and Future
10:30 — 11:00
Coffee break
11:00 — 11:00
Session 1: Foundations of statistics
11:00 — 11:30
Advancing Statistical Frontiers: Leveraging Large Models in Statistical Analysis
11:30 — 12:00
Network and artificial intelligence approaches in healthcare and business
12:00 — 12:30
Toward robust and scalable Bayesian deep learning
12:30 — 13:45
Lunch break
13:45 — 13:45
Session 2: Emerging trends in AI and statistics
13:45 — 14:15
Unveiling Genetic Complexity: Fine Mapping with h2-D2 Bayesian Approach in Multi-Ancestry Settings
14:15 — 14:45
Bayesian knockoff filter for FDR control
14:45 — 15:15
Agentic AI for Deep Research
15:15 — 15:45
Coffee break
15:45 — 16:45
Panel discussion
Charting the Path Forward: Collaborative Innovations and Future Directions
16:45 — 17:00
Closing remarks for day one
Day 2
09:30 — 10:30
Prediction, Structure Uncertainty and Decisions: Betting on Better Models
10:30 — 11:00
Coffee break
11:00 — 11:00
Session 3: Foundations of AI
11:00 — 11:30
Rethinking Intelligence through Embodiment and Autonomous Agents
11:30 — 12:00
Collaboration and Evolution of Foundation and Specialized Models
12:00 — 12:30
Unify Near Field Prediction and Inverse Design of Electromagnetic Metamaterials via a Diffusion Model
12:30 — 14:00
Lunch break
14:00 — 14:00
Session 4: Emerging computational methods
14:00 — 14:30
Filter Parametrization Methods and Their Applications
14:30 — 15:00
Machine Learning and Bayesian Approaches: Transforming Empirical Asset Pricing in Finance
15:00 — 15:30
Generative Models for Statistical Uncertainty
15:30 — 16:00
Coffee break
16:00 — 17:00
Panel discussion
Bridging the Gap: Integrating Statistical and AI Methods
17:00 — 17:15
Closing remarks for day 2
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