Algorithms - Microsoft Research

Video

Keynote: Universal search and recommendation

November 16, 2021 | Paul Bennett

Search and recommendation are at the heart of how information workers deal with information overload. Recent advances and trends in science show us that search and recommendation will be transformed in the coming years. One…

26:25

Publication

Towards Generating Real-World Time Series Data

Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li

ICDM 21 | November 2021

Publication

AI-assisted Cell-Level Fault Detection and Localization in Solar PV Electroluminescence Images

Ahan MR, Akshay Nambi, Tanuja Ganu, Dhananjay Nahata, Shivkumar Kalyanaraman

SenSys ’21: Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems, SenSys Workshop | November 2021

Best Paper Award

Project

Publication

Robust Algorithms for Online Convex Problems via Primal-Dual

Marco Molinaro

SODA | November 2021

Publication

Causal Inference for Influence Propagation — Identifiability of the Independent Cascade Model

Shi Feng, Wei Chen

Proceedings of the 10th International Conference on Computational Social Networks (CSoNet’2021) | November 2021

Winner of the sole Best Paper Award

Publication

Results of the NeurIPS’21 Challenge on Billion-Scale Approximate Nearest Neighbor Search

Harsha Simhadri

NeurIPS | November 2021

Project

Publication

Holistic Energy Awareness for Intelligent Drones

Srinivasan Iyengar, Ravi Raj Saxena, Joydeep Pal, Bhawana Chhaglani, Anurag Ghosh, Venkat Padmanabhan, Prabhakar T. Venkata

ACM BuildSys | November 2021

Best Paper Runner up

Publication

GenBiT: measure and mitigate gender bias in language datasets

Kinshuk Sengupta, Rana Maher, Declan Groves, Chantal Olieman

Microsoft Journal of Applied Research | October 2021, Vol 16: pp. 63-71

Publication

CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph

Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu

Conference on Information and Knowledge Management | October 2021

Publication

How Powerful is Graph Convolution for Recommendation

Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, B. Khaled Letaief, Dongsheng Li

Conference on Information and Knowledge Management | October 2021