Hao Wang

According to our database, Hao Wang authored at least 38 papers between 2009 and 2024.

Collaborative distances:

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

2024

Energy and Spectrum Efficient Federated Learning via High-Precision Over-the-Air Computation.

Liang Li, Chenpei Huang, Dian Shi, Hao Wang, Xiangwei Zhou, Minglei Shu, Miao Pan

IEEE Trans. Wirel. Commun., February, 2024

Robust Searching-Based Gradient Collaborative Management in Intelligent Transportation System.

Hongjian Shi, Hao Wang, Ruhui Ma, Yang Hua, Tao Song, Honghao Gao, Haibing Guan

ACM Trans. Multim. Comput. Commun. Appl., February, 2024

2023

<i>WH</i>²<i>D</i>²<i>N</i>²: Distributed AI-enabled OK-ASN Service for Web of Things.

Kun Liang, Ruhui Ma, Yang Hua, Hao Wang, Ningxin Hu, Tao Song, Honghao Gao, Haibing Guan

ACM Trans. Asian Low Resour. Lang. Inf. Process., May, 2023

Backdoor Federated Learning by Poisoning Backdoor-Critical Layers.

Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan

CoRR, 2023

Chrion: Optimizing Recurrent Neural Network Inference by Collaboratively Utilizing CPUs and GPUs.

Zinuo Cai, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Haibing Guan

CoRR, 2023

FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy.

Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning.

Gang Yan, Hao Wang, Xu Yuan, Jian Li

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Libra: Harvesting Idle Resources Safely and Timely in Serverless Clusters.

Hanfei Yu, Christian Fontenot, Hao Wang, Jian Li, Xu Yuan, Seung-Jong Park

Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

Information Bound and Its Applications in Bayesian Neural Networks.

Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Data Privacy Examination against Semi-Supervised Learning.

Jiadong Lou, Xu Yuan, Miao Pan, Hao Wang, Nian-Feng Tzeng

Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

FedALA: Adaptive Local Aggregation for Personalized Federated Learning.

Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness.

Gang Yan, Hao Wang, Xu Yuan, Jian Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.

Wanyu Lin, Hao Lan, Hao Wang, Baochun Li

CoRR, 2022

Accelerating Serverless Computing by Harvesting Idle Resources.

Hanfei Yu, Hao Wang, Jian Li, Xu Yuan, Seung-Jong Park

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Improving Bayesian Neural Networks by Adversarial Sampling.

Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Seizing Critical Learning Periods in Federated Learning.

Gang Yan, Hao Wang, Jian Li

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

SpaceDML: Enabling Distributed Machine Learning in Space Information Networks.

Hanxi Guo, Qing Yang, Hao Wang, Yang Hua, Tao Song, Ruhui Ma, Haibing Guan

IEEE Netw., 2021

Critical Learning Periods in Federated Learning.

Gang Yan, Hao Wang, Jian Li

CoRR, 2021

Themis: A Fair Evaluation Platform for Computer Vision Competitions.

Zinuo Cai, Jianyong Yuan, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ningxin Hu, Jonathan Ding, Ruhui Ma, Mohammad Reza Haghighat, Haibing Guan

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Self-Supervised Vessel Segmentation via Adversarial Learning.

Yuxin Ma, Yang Hua, Hanming Deng, Tao Song, Hao Wang, Zhengui Xue, Heng Cao, Ruhui Ma, Haibing Guan

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Siren: Byzantine-robust Federated Learning via Proactive Alarming.

Hanxi Guo, Hao Wang, Tao Song, Yang Hua, Zhangcheng Lv, Xiulang Jin, Zhengui Xue, Ruhui Ma, Haibing Guan

Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

FaaSRank: Learning to Schedule Functions in Serverless Platforms.

Hanfei Yu, Athirai A. Irissappane, Hao Wang, Wes J. Lloyd

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2021

2020

Turbo: Dynamic and Decentralized Global Analytics via Machine Learning.

Hao Wang, Di Niu, Baochun Li

IEEE Trans. Parallel Distributed Syst., 2020

Mitigating Bottlenecks in Wide Area Data Analytics via Machine Learning.

Hao Wang, Baochun Li

IEEE Trans. Netw. Sci. Eng., 2020

Optimizing Federated Learning on Non-IID Data with Reinforcement Learning.

Hao Wang, Zakhary Kaplan, Di Niu, Baochun Li

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

2019

Distributed Machine Learning with a Serverless Architecture.

Hao Wang, Di Niu, Baochun Li

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

2018

Dynamic and Decentralized Global Analytics via Machine Learning.

Hao Wang, Di Niu, Baochun Li

Proceedings of the ACM Symposium on Cloud Computing, 2018

2017

Guaranteeing Deadlines for Inter-Data Center Transfers.

Hong Zhang, Kai Chen, Wei Bai, Dongsu Han, Chen Tian, Hao Wang, Haibing Guan, Ming Zhang

IEEE/ACM Trans. Netw., 2017

PIAS: Practical Information-Agnostic Flow Scheduling for Commodity Data Centers.

Wei Bai, Li Chen, Kai Chen, Dongsu Han, Chen Tian, Hao Wang

IEEE/ACM Trans. Netw., 2017

Optimizing Shuffle in Wide-Area Data Analytics.

Shuhao Liu, Hao Wang, Baochun Li

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Lube: Mitigating Bottlenecks in Wide Area Data Analytics.

Hao Wang, Baochun Li

Proceedings of the 9th USENIX Workshop on Hot Topics in Cloud Computing, 2017

2016

Towards Comprehensive Traffic Forecasting in Cloud Computing: Design and Application.

Yang Peng, Kai Chen, Guohui Wang, Wei Bai, Yangming Zhao, Hao Wang, Yanhui Geng, Zhiqiang Ma, Lin Gu

IEEE/ACM Trans. Netw., 2016

Explicit Path Control in Commodity Data Centers: Design and Applications.

Shuihai Hu, Kai Chen, Haitao Wu, Wei Bai, Chang Lan, Hao Wang, Hongze Zhao, Chuanxiong Guo

IEEE/ACM Trans. Netw., 2016

2015

Information-Agnostic Flow Scheduling for Commodity Data Centers.

Wei Bai, Kai Chen, Hao Wang, Li Chen, Dongsu Han, Chen Tian

Proceedings of the 12th USENIX Symposium on Networked Systems Design and Implementation, 2015

FLOWPROPHET: Generic and Accurate Traffic Prediction for Data-Parallel Cluster Computing.

Hao Wang, Li Chen, Kai Chen, Ziyang Li, Yiming Zhang, Haibing Guan, Zhengwei Qi, Dongsheng Li, Yanhui Geng

Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015

Guaranteeing deadlines for inter-datacenter transfers.

Hong Zhang, Kai Chen, Wei Bai, Dongsu Han, Chen Tian, Hao Wang, Haibing Guan, Ming Zhang

Proceedings of the Tenth European Conference on Computer Systems, 2015

2014

On pricing schemes in data center network with game theoretic approach.

Hao Wang, Yangming Zhao, Haibing Guan

Proceedings of the 23rd International Conference on Computer Communication and Networks, 2014

2009

FLTL-MC: Online High Level Program Analysis for Web Services.

Zhengwei Qi, Liang Liu, Fuyuan Zhang, Haibing Guan, Hao Wang, Ying Chen

Proceedings of the 2009 IEEE Congress on Services, Part I, 2009