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Published Date

Publication

The Photographer’s Eye: Teach MLLMs to See and Critique like Photographers

Daiqing Qi, H Zhao, J Shi, S Jenni, Y Fan, F Dernoncourt, S Cohen, S Li

The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Publication

Generalizing (CLIP) to Unseen Domains via Text-guided Augmentation

Daiqing Qi, H Zhao, A Zhang, S Li

European Conference on Computer Vision (ECCV)

Publication

Revealing an Overlooked Challenge in Class-Incremental Graph Learning

Daiqing Qi, H Zhao, X Jia, S Li

Transactions on Machine Learning Research (TMLR)

Publication

Easy Regional Contrastive Learning of Expressive Fashion Representations

Daiqing Qi, H Zhao, S Li

Neural Information Processing Systems (NeurIPS)

Publication

Tag-grounded Visual Instruction Tuning with Retrieval Augmentation

Daiqing Qi, H Zhao, Z Wei, S Li

Empirical Methods in Natural Language Processing, Main Track (EMNLP)

Publication

Better Generative Replay for Continual Federated Learning

Daiqing Qi, H Zhao, S Li

International Conference on Learning Representations (ICLR)

Video

Microsoft AI for Good Lab – Introduction to HASTE

July 20, 2026 | Juan M. Lavista Ferres, Caleb Robinson, Cameron Birge, Kevin White

The Microsoft AI for Good Lab introduces HASTE, its open-source rapid building-damage assessment tool that turns post-disaster satellite, aerial, or drone imagery into building-by-building damage classifications in minutes. Through live demonstrations from real responses, the…

57:20

Publication

When does predictive inverse dynamics outperform behavior cloning?

Lukas Schäfer, Pallavi Choudhury, Abdelhak Lemkhenter, Chris Lovett, Somjit Nath, Luis França, Matheus Ribeiro Furtado de Mendonça, Alex Lamb, Riashat Islam, Siddhartha Sen, John Langford, Katja Hofmann, Sergio Valcarcel Macua

International Conference on Machine Learning

Project

Publication

Augmentations for Robust and Efficient Imitation Learning in Streamed Video Games

Somjit Nath, Abdelhak Lemkhenter, Pallavi Choudhury, Chris Lovett, Katja Hofmann, Sergio Valcarcel Macua, Lukas Schäfer

IEEE Conference on Games

Project

Career Opportunity

Principal Data Scientist – MSN & Copilot Discover Business Analytics team

Posted: July 17, 2026

Location: Redmond, WA, US

Research Area(s): Artificial intelligence, Data platforms and analytics

The MSN & Copilot Discover Business Analytics team serves as a horizontal analytics team supporting multiple product, engineering, marketplace, monetization, and business teams across the ecosystem. We are seeking an experienced Principal Business Analytics Data…

Artificial Intelligence

Highlights