Haibo Mi

According to our database, Haibo Mi authored at least 31 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

WMWatcher: Preventing Workload-Related Misconfigurations in Production Environment.

Shulin Zhou, Zhijie Jiang, Shanshan Li, Xiaodong Liu, Zhouyang Jia, Yuanliang Zhang, Jun Ma, Haibo Mi

Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

2021

FedH2L: Federated Learning with Model and Statistical Heterogeneity.

Yiying Li, Wei Zhou, Huaimin Wang, Haibo Mi, Timothy M. Hospedales

CoRR, 2021

OADA: An Online Data Augmentation Method for Raw Histopathology Images.

Zhiyue Wu, Yijie Wang, Haibo Mi, Hongzuo Xu, Wei Zhang, Lanlan Feng

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

Collaborative deep learning across multiple data centers.

Haibo Mi, Kele Xu, Dawei Feng, Huaimin Wang, Yiming Zhang, Zibin Zheng, Chuan Chen, Xu Lan

Sci. China Inf. Sci., 2020

2019

Multi Model-Based Distillation for Sound Event Detection.

Yingwei Fu, Kele Xu, Haibo Mi, Qiuqiang Kong, Dezhi Wang, Huaimin Wang, Tie Hong

IEICE Trans. Inf. Syst., 2019

Multistructure-Based Collaborative Online Distillation.

Liang Gao, Xu Lan, Haibo Mi, Dawei Feng, Kele Xu, Yuxing Peng

Entropy, 2019

An Adversarial Feature Distillation Method for Audio Classification.

Liang Gao, Haibo Mi, Boqing Zhu, Dawei Feng, Yicong Li, Yuxing Peng

IEEE Access, 2019

Mixup Based Privacy Preserving Mixed Collaboration Learning.

Yingwei Fu, Huaimin Wang, Kele Xu, Haibo Mi, Yijie Wang

Proceedings of the 13th IEEE International Conference on Service-Oriented System Engineering, 2019

Privacy-Protected Blockchain System.

Ping Zhong, Qikai Zhong, Haibo Mi, Shigeng Zhang, Yang Xiang

Proceedings of the 20th IEEE International Conference on Mobile Data Management, 2019

A Quantitative Analysis Platform for PD-L1 Immunohistochemistry based on Point-level Supervision Model.

Haibo Mi, Kele Xu, Yang Xiang, Yulin He, Dawei Feng, Huaimin Wang, Chun Wu, Yanming Song, Xiaolei Sun

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A Mobile Application for Sound Event Detection.

Yingwei Fu, Kele Xu, Haibo Mi, Huaimin Wang, Dezhi Wang, Boqing Zhu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Denoising Convolutional Autoencoder Based B-mode Ultrasound Tongue Image Feature Extraction.

Bo Li, Kele Xu, Dawei Feng, Haibo Mi, Huaimin Wang, Jian Zhu

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

General audio tagging with ensembling convolutional neural network and statistical features.

Kele Xu, Boqing Zhu, Qiuqiang Kong, Haibo Mi, Bo Ding, Dezhi Wang, Huaimin Wang

CoRR, 2018

Collaborative Deep Learning Across Multiple Data Centers.

Kele Xu, Haibo Mi, Dawei Feng, Huaimin Wang, Chuan Chen, Zibin Zheng, Xu Lan

CoRR, 2018

PoPF: A Consensus Algorithm for JCLedger.

Xiang Fu, Huaimin Wang, Peichang Shi, Haibo Mi

Proceedings of the IEEE Symposium on Service-Oriented System Engineering, 2018

A Cluster Feature Based Approach for QoS Prediction in Web Service Recommendation.

Shuhong Chen, Yuxing Peng, Haibo Mi, Changjian Wang, Zhen Huang

Proceedings of the IEEE Symposium on Service-Oriented System Engineering, 2018

Sample Dropout for Audio Scene Classification Using Multi-scale Dense Connected Convolutional Neural Network.

Dawei Feng, Kele Xu, Haibo Mi, Feifan Liao, Yan Zhou

Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2018

Mixup-Based Acoustic Scene Classification Using Multi-channel Convolutional Neural Network.

Kele Xu, Dawei Feng, Haibo Mi, Boqing Zhu, Dezhi Wang, Lilun Zhang, Hengxing Cai, Shuwen Liu

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

2017

S³R: storage-sensitive services redeployment in the cloud.

Huining Yan, Yiming Zhang, Huaimin Wang, Bo Ding, Haibo Mi

Int. J. Big Data Intell., 2017

2015

Storage-Aware Server Consolidation for Cloud Services Utilizing Local Storage.

Huining Yan, Huaimin Wang, Bo Ding, Haibo Mi, Dianxi Shi

Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015

2014

MTracer: A Trace-Oriented Monitoring Framework for Medium-Scale Distributed Systems.

Jingwen Zhou, Zhenbang Chen, Haibo Mi, Ji Wang

Proceedings of the 8th IEEE International Symposium on Service Oriented System Engineering, 2014

Automatic Detecting Performance Bugs in Cloud Computing Systems via Learning Latency Specification Model.

Haibo Mi, Huaimin Wang, Zhenbang Chen, Yangfan Zhou

Proceedings of the 8th IEEE International Symposium on Service Oriented System Engineering, 2014

Elastic Allocator: An Adaptive Task Scheduler for Streaming Query in the Cloud.

Zheng Han, Rui Chu, Haibo Mi, Huaimin Wang

Proceedings of the 8th IEEE International Symposium on Service Oriented System Engineering, 2014

2013

Toward Fine-Grained, Unsupervised, Scalable Performance Diagnosis for Production Cloud Computing Systems.

Haibo Mi, Huaimin Wang, Yangfan Zhou, Michael Rung-Tsong Lyu, Hua Cai

IEEE Trans. Parallel Distributed Syst., 2013

An online service-oriented performance profiling tool for cloud computing systems.

Haibo Mi, Huaimin Wang, Yangfan Zhou, Michael Rung-Tsong Lyu, Hua Cai, Gang Yin

Frontiers Comput. Sci., 2013

2012

Localizing root causes of performance anomalies in cloud computing systems by analyzing request trace logs.

Haibo Mi, Huaimin Wang, Yangfan Zhou, Michael R. Lyu, Hua Cai

Sci. China Inf. Sci., 2012

Performance problems diagnosis in cloud computing systems by mining request trace logs.

Haibo Mi, Huaimin Wang, Gang Yin, Hua Cai, Qi Zhou, Tingtao Sun

Proceedings of the 2012 IEEE Network Operations and Management Symposium, 2012

P-Tracer: Path-Based Performance Profiling in Cloud Computing Systems.

Haibo Mi, Huaimin Wang, Hua Cai, Yangfan Zhou, Michael R. Lyu, Zhenbang Chen

Proceedings of the 36th Annual IEEE Computer Software and Applications Conference, 2012

2011

Performance problems online detection in cloud computing systems via analyzing request execution paths.

Haibo Mi, Huaimin Wang, Gang Yin, Hua Cai, Qi Zhou, Tingtao Sun

Proceedings of the IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W 2011), 2011

Magnifier: Online Detection of Performance Problems in Large-Scale Cloud Computing Systems.

Haibo Mi, Huaimin Wang, Gang Yin, Hua Cai, Qi Zhou, Tingtao Sun, Yangfan Zhou

Proceedings of the IEEE International Conference on Services Computing, 2011

2010

Online Self-Reconfiguration with Performance Guarantee for Energy-Efficient Large-Scale Cloud Computing Data Centers.

Haibo Mi, Huaimin Wang, Gang Yin, Yangfan Zhou, Dian-xi Shi, Lin Yuan

Proceedings of the 2010 IEEE International Conference on Services Computing, 2010