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AAAI 2026 Oral | UTS and PolyU Break the “One-Size-Fits-All” Mold: How Federated Recommendation Achieves Personalized Image-Text Fusion

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AAAI 2026 Oral | UTS and PolyU Break the “One-Size-Fits-All” Mold: How Federated Recommendation Achieves Personalized Image-Text Fusion

Balancing Privacy & Personalization in Multimodal Recommendation Systems In today’s move toward multimodal recommendation systems, the challenge is how to balance data privacy with personalized image–text understanding. A research team led by Prof. Guodong Long (University of Technology Sydney), in collaboration with Prof. Qiang Yang and Prof. Chengqi

Using AI to “Unlock” the Financial Market Black Box: How Microsoft Research Asia Built an Order-Level Simulation Engine

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Using AI to “Unlock” the Financial Market Black Box: How Microsoft Research Asia Built an Order-Level Simulation Engine

AI for Finance: Building Deterministic Market Simulation with Foundation Models & Agents In the era of large AI models and intelligent Agents, the financial industry is undergoing a profound transformation — from investment decision-making to market simulation. At the AICon Global Artificial Intelligence Development and Application Conference, Liu Weiqing, Principal