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Congratulations to “Kiwi – An AI Learning Companion Platform” on being selected for the 2026 Shanghai Municipal Teaching Reform Advancement Program by the Shanghai Municipal Education Commission. Led by Nasir Memon, Hongyi Wen, Lihua Xu, Shengjie Wang, Keith Ross, and Yao Wang, the project has been recognized for its innovative platform design, effective integration of AI into teaching practices, and outstanding achievements in developing students’ AI competencies.
 

NYU Shanghai first-year Computer Science PhD student Wang Zhe and incoming Computer Science PhD student Xu Sizhe, advised by Assistant Professor of Urban Studies and Computer Science Wang Zhaonan, won first place in the Mars Landslide Segmentation Challenge at the CVPR 2026 PBVS Workshop.

The team worked on landslide segmentation using multimodal Martian imagery, a task made especially challenging by limited prior knowledge, distinctive terrain features, and complex spatial semantics of the Martian landscape.

“This was an incredible opportunity to apply computer vision techniques to planetary data,” the team said. “We hope this achievement brings greater visibility to our research community.”

At the 2024 X-GAME Shanghai Smart New Energy Vehicle Big Data Competition, the team “NanNanYu”, supervised by Professor Zhibin Chen, Assistant Professor of Engineering at NYU Shanghai, conducted innovative research titled “Analysis of Heterogeneous Charging Behavior and Facility Matching Driven by Simulation.” Selected from over 600 teams and nearly 800 participants, the team’s outstanding work received high praise from the judges and won First Prize in the New Energy Vehicle Category at the final competition.

Let’s hear from this international and dynamic young team about their perspectives and practices on green mobility, as well as their memorable experiences and aspirations from the X-GAME competition — watch the video here.