Events
Modelling and design of assemblies with discrete equivalence classes
ISTD PhD Oral Defense Seminar by Rulin Chen – An assembly comprises parts joined together to achieve a specific form or functionality. Compared to monolithic objects, assemblies have many benefits in terms of fabrication, transportation, and adaptability. Parts of assemblies are always geometrically simple to fabricate with digital techniques, can be efficiently packed for transportation, and offer adaptability through flexible replacement or modification. Hence, assemblies are widely used in our daily lives that most of our consumer products, industry machines, and architectural structures are assemblies.
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