Advancing the state of the art in computer science and related fields
More than 1,100 brilliant scientists and engineers push the boundaries of computing in multiple research areas in 13 research labs around the world, not all of which fall neatly into a particular discipline. A few examples of research that, while difficult to classify, remains critical to advancing the state of the art in computer science and related fields.
Discover what we've delivered to Microsoft and to the world, such as contributions to Kinect for Xbox 360, Xbox One, work to develop an HIV vaccine, and advancing education techniques in rural communities.
- Abram Hindle, Christian Bird, Thomas Zimmermann, and Nachiappan Nagappan, Do Topics Make Sense to Managers and Developers?, in Empirical Software Engineering, Springer, December 2015.
- Emerson Murphy-Hill, Thomas Zimmermann, Christian Bird, and Nachiappan Nagappan, The Design Space of Bug Fixes and How Developers Navigate It, in IEEE Transactions on Software Engineering, IEEE – Institute of Electrical and Electronics Engineers, December 2015.
- Li Deng, Connecting Deep Learning Features to Log-Linear Models, MIT Press, August 2015.
- Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, Robert DeLine, Danyel Fisher, John C. Platt, James F. Terwilliger, and John Wernsing, Trill: A High-Performance Incremental Query Processor for Diverse Analytics, VLDB – Very Large Data Bases, August 2015.
- Mohan Yang, bolin ding, surajit chaudhuri, and kaushik chakrabarti, Finding Patterns in a Knowledge Base using Keywords to Compose Table Answers, VLDB – Very Large Data Bases, August 2015.
- Akash Lal and Shaz Qadeer, Deciding Reachability in Hierarchical Programs Using DAG Inlining, in Programming Language Design and Implementation (PLDI), ACM, June 2015.
- Judith Bishop, R. Nigel Horspool, Tao Xie, Nikolai Tillmann, and Jonathan de Halleux, Code Hunt: Experience with Coding Contests at Scale, in Proceedings of the 37th International Conference on Software Engineering (ICSE) (JSEET) to appear, ACM – Association for Computing Machinery, June 2015.
- Human activity detection in RGBD videos
- Project Blush
- Code Hunt Community
- Code Hunt
- FaST-LMM (FActored Spectrally Transformed Linear Mixed Models)
- Team Three Rs
- Eye Gaze Wheelchair
- Tablet and Stylus Interaction
- Dyadic Mano-a-Mano
- Fully Articulated Hand Tracking
- Eye Gaze and Face Pose for Better Speech Recognition
- Photo-Real Talking Head with Deep Bidirectional LSTM