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Systems & networking

Researching and inventing new technologies for next-generation infrastructures and platforms for sensors, devices and the cloud.

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Efficient AI | Making Azure's big bet possible

Weishung Liu on the Microsoft Research Podcast

What’s Your Story: Weishung Liu | Microsoft Research Podcast

AI Infrastructure | Towards efficient AI/ML deployment

Microsoft at ASPLOS 2024: Advancing hardware and software for high-scale, secure, and efficient modern applications

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Published Date

Publication

The MineRL BASALT Competition on Learning from Human Feedback

Rohin Shah, Cody Wild, Steven H. Wang, Neel Alex, Brandon Houghton, William Guss, Sharada Mohanty, Anssi Kanervisto, Stephanie Milani, Nicholay Topin, Pieter Abbeel, Stuart Russell, Anca Dragan

NeurIPS 2023 | November 2023

Publication

Boosting Application Performance using Heterogeneous Virtual Channels: Challenges and Opportunities

Talal Touseef, William Sentosa, Milind Kumar Vaddiraju, Debopam Bhattacherjee, Balakrishnan Chandrasekaran, Brighten Godfrey, Shubham Tiwari

ACM HotNets | November 2023

Project

Publication

Don’t Forget the User: It’s Time to Rethink Network Measurements

Rahul Bothra, Aryan Taneja, Debopam Bhattacherjee, Rohan Gandhi, Venkat Padmanabhan, Ranjita Bhagwan, Nagarajan Natarajan, Saikat Guha, Ross Cutler

ACM HotNets | November 2023

Project

Publication

Assess and Summarize: Improve Outage Understanding with Large Language Models

Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

ESEC/FSE 2023 | November 2023

Project Project

Publication

Enhancing Network Management Using Code Generated by Large Language Models

Sathiya Kumaran Mani, Yajie Zhou, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Eliran Azulai, Ido Frizler, Ranveer Chandra, Srikanth Kandula

ACM Workshop on Hot Topics in Networks (HotNets) | November 2023

Github

Publication

OneAdapt: Fast Adaptation for Deep Learning Applications via Backpropagation

Kuntai Du, Yihan Liu, Qizheng Zhang, Haodong Wwang, Yuyang Huang, Ganesh Ananthanarayanan, Junchen Jiang

ACM Symposium on Cloud Computing (SoCC) | November 2023

Publication

Securing Public Clouds using Dynamic Communication Graphs

Sathiya Kumaran Mani, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Ranveer Chandra, Eliran Azulai, Narayan Annamalai, Deepak Bansal, Srikanth Kandula

ACM Workshop on Hot Topics in Networks (HotNets) | November 2023

Publication

GPU Occupancy Prediction of Deep Learning Models Using Graph Neural Network

Hengquan Mei, Huaizhi Qu, Jingwei Sun, Yanjie Gao, Haoxiang Lin, Guangzhong Sun

CLUSTER 2023 | October 2023

The 25th IEEE International Conference on Cluster Computing

Project

Publication

TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems

Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Ming-Jie Ma, Xiaomin Wu, Meng Zhang, Qingjun Chen, Xin Gao, Xue‐Chao Gao, Hao Fan, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

FSE’23 Industry | October 2023

Publication

Flexible Resource Allocation for Relational Database-as-a-Service

Pankaj Arora, Surajit Chaudhuri, Sudipto Das, Junfeng Dong, Cyril George, Ajay Kalhan, Arnd Christian König, Willis Lang, Changsong Li, Feng Li, Jiaqi Liu, Lukas M. Maas, Akshay Mata, Ishai Menache, Justin Moeller, Vivek Narasayya, Matthaios Olma, Morgan Oslake, Elnaz Rezai, Yi Shan, Manoj Syamala, Shize Xu, Vasileios Zois

49th International Conference on Very Large Data Bases | October 2023

Project

Systems & networking

Highlights