Name
Papers
Collaborators
PU ZHAO
21
103
Citations 
PageRank 
Referers 
8
7.23
32
Referees 
References 
75
23
Search Limit
100103
Title
Citations
PageRank
Year
T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification00.342022
NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 36500.342022
Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems00.342022
A novel parameter identification method for flexible-joint robots using input torque and motor-side motion data.00.342022
Fighting The Fog Of War: Automated Incident Detection For Cloud Systems00.342021
NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms00.342021
Correlation-Aware Heuristic Search For Intelligent Virtual Machine Provisioning In Cloud Systems00.342021
Effective low capacity status prediction for cloud systems00.342021
How Long Will it Take to Mitigate this Incident for Online Service Systems?00.342021
AutoCCAG: An Automated Approach to Constrained Covering Array Generation00.342021
Intrinsic Examples: Robust Fingerprinting of Deep Neural Networks.00.342021
RLNF: Reinforcement Learning based Noise Filtering for Click-Through Rate Prediction10.362021
Fast Outage Analysis of Large-scale Production Clouds with Service Correlation Mining10.362021
Pulns: Positive-Unlabeled Learning With Effective Negative Sample Selector00.342021
Towards intelligent incident management: why we need it and how we make it30.392020
Identifying linked incidents in large-scale online service systems00.342020
How to mitigate the incident? an effective troubleshooting guide recommendation technique for online service systems20.362020
Intelligent Virtual Machine Provisioning in Cloud Computing10.352020
Efficient customer incident triage via linking with system incidents00.342020
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness.00.342020
Structured Adversarial Attack: Towards General Implementation and Better Interpretability.00.342019