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Published Date

Publication

Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems

Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

SIGKDD 2022 | August 2022

Project Project

Publication

ACE: Adaptive Constraint-aware Early Stopping in Hyperparameter Optimization

Yi-Wei Chen, Chi Wang, Amin Saied, Rui Zhuang

MSR-TR-2022-29 | August 2022

Published by Microsoft

Project

Publication

CLARE: A Semi-supervised Community Detection Algorithm

Xixi Wu, Yao Zhang, Yun Xiong, Yizhu Jiao, Caihua Shan, Yangyong Zhu, Philip S Yu

KDD 2022 | August 2022

Publication

Sampling Near Neighbors in Search for Fairness

Martin Aumüller, Sariel Har-Peled, Sepideh Mahabadi, Rasmus Pagh, Francesco Silvestri

Communications of the ACM (CACM) | August 2022

Publication

Availability attacks create shortcuts

Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu, Jian Yin

2022 Knowledge Discovery and Data Mining | August 2022

Publication

Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach

Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang

SIGKDD’22 | August 2022

Project Project

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