Events
Leveraging pre-trained language models for social geolocation
ISTD PhD Oral Defense Seminar by Menglin Li – Social media has become an integral part of daily life, leading to an explosion of social data. Geographical information within social media is essential for applications such as location-based analysis, recommendations, and targeted advertising. However, such information is sparse, prompting the exploration of mining it from social media data.
Howard H. Yang (Zhejiang University) – Federated Learning Over the Air: A Tale of Interference
Howard H. Yang (Zhejiang University) – Federated Learning Over the Air: A Tale of Interference
Wang Hai (Singapore Management University) – Data-Driven Methods and Applications in Smart Cities
Wang Hai (Singapore Management University) – Data-Driven Methods and Applications in Smart Cities
Rasoul Etesami (University of Illinois Urbana-Champaign) – Distributed Data Placement and Content Delivery in Web Caches with Non-Metric Access Costs
Rasoul Etesami (University of Illinois Urbana-Champaign) – Distributed Data Placement and Content Delivery in Web Caches with Non-Metric Access Costs
Qiang Huang (University of Southern California) – Infer and Control Effects of Lurking Variables for 3D Printing Quality Control
Qiang Huang (University of Southern California) – Infer and Control Effects of Lurking Variables for 3D Printing Quality Control
Max Li (University of Michigan) – Data-Driven Modeling and Optimization Methods for Current and Future Airspace Users
Max Li (University of Michigan) – Data-Driven Modeling and Optimization Methods for Current and Future Airspace Users
Jeremy Heng (ESSEC Business School) – Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling
Jeremy Heng (ESSEC Business School) – Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling
Feng Ling (A*STAR) – Optimal Machine Intelligence at the Edge of Chaos and Initial Applications to Model Training
Feng Ling (A*STAR) – Optimal Machine Intelligence at the Edge of Chaos and Initial Applications to Model Training
Master of Architecture information session for intake 2024
Join our information session on 3rd November to find out more about our cutting-edge approach to architecture education, and all the details on how to apply.