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Published Date

Publication

NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365

Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang

SIGKDD 2022 | August 2022

Project Project

Publication

Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning

Yae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis

IJCAI-ECAI’22 | August 2022

Project

Video

Using platform models responsibly: Developer tools with human-AI partnership at the center

July 19, 2022

How we develop AI systems is changing. We can do it faster and more easily than before thanks to the emergence of platform models—that is, large-scale models that are trained on vast and diverse amounts…

04:41

Publication

Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum

Zeke Xie, Xinrui Wang, Huishuai Zhang, Issei Sato, Masashi Sugiyama

ICML 2022 | July 2022

Publication

RESIN: A Holistic Service for Dealing with Memory Leaks in Production Cloud Infrastructure

Chang Lou, Cong Chen, Peng Huang, Yingnong Dang, Si Qin, Xinsheng Yang, Xukun Li, Qingwei Lin 林庆维, Murali Chintalapati

OSDI’22 | July 2022

Project Project Project

Publication

SPINE: A Scalable Log Parser with Feedback Guidance

Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

2022 Foundations of Software Engineering (FSE) | July 2022

SIGSOFT Distinguished Paper Award

Project Project

Publication