Publications

2024

  1. ASPLOS
    RainbowCake: Mitigating Cold-starts in Serverless with Layer-wise Container Caching and Sharing
    Hanfei Yu, Rohan Basu Roy, Christian Fontenot, Devesh Tiwari, Jian Li, Hong Zhang, Hao Wang, and Seung-Jong Park
    In Proceedings of the ACM Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2024

2023

  1. AAAI
    DeFL: Defending Against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness
    Gang Yan, Hao Wang, Xu Yuan, and Jian Li
    In Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI) 2023
    PDF Code
  2. AAAI
    FedALA: Adaptive Local Aggregation for Personalized Federated Learning
    Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, and Haibing Guan
    In Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI) 2023
    PDF
  3. AsiaCCS
    Data Privacy Examination against Semi-Supervised Learning
    Jiadong Lou, Xu Yuan, Miao Pan, Hao Wang, and Nianfeng Tzeng
    In the 18th ACM ASIA Conference on Computer and Communications Security 2023
    PDF
  4. IISE
    Analysis of Decoding Strategies for Transformer-Based Solution of Multi-Depot Vehicle Routing Problems
    Seyedeh Shaghayegh Rabbanian, Hao Wang, and Gerald M. Knapp
    In the Institute of Industrial and Systems Engineers Annual Conference & Expo 2023
    HTML PDF
  5. HPDC
    Libra: Harvesting Idle Resources Safely and Timely in Serverless Clusters
    Hanfei Yu, Christian Fontenot, Hao Wang, Jian Li, Xu Yuan, and Seung-Jong Park
    In Proceedings of the International Symposium on High-Performance Parallel and Distributed Computing (HPDC) 2023
    PDF Code Slides
  6. KDD
    CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning
    Gang Yan, Hao Wang, Xu Yuan, and Jian Li
    In Proceedings of the ACM Special Interest Group on Knowledge Discovery and Data Mining (KDD) 2023
    PDF Code
  7. KDD
    FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy
    Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, and Haibing Guan
    In Proceedings of the ACM Special Interest Group on Knowledge Discovery and Data Mining (KDD) 2023
    PDF
  8. TWC
    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, and Miao Pan
    The IEEE Transactions on Wireless Communications 2023
    PDF

2022

  1. WebConf
    Accelerating Serverless Computing by Harvesting Idle Resources
    Hanfei Yu, Hao Wang, Jian Li, Xu Yuan, and Seung-Jong Park
    In Proceedings of the ACM Web Conference (WebConf) 2022
    PDF Code Slides
  2. AAAI
    Improving Bayesian Neural Networks by Adversarial Sampling
    Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, and Haibing Guan
    In Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI) 2022
    PDF
  3. AAAI
    Seizing Critical Learning Periods in Federated Learning
    Gang Yan, Hao Wang, and Jian Li
    In Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI) 2022
    PDF Code
  4. TOMM
    Robust Searching-based Gradient Collaborative Management in Intelligent Transportation System
    Hongjian Shi, Hao Wang, Ruhui Ma, Yang Hua, Tao Song, Honghao Gao, and Haibing Guan
    ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) 2022
    PDF

2021

  1. IJCAI
    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, and Haibing Guan
    In the 30th International Joint Conference on Artificial Intelligence 2021
    PDF
  2. Network
    SpaceDML: Enabling Distributed Machine Learning in Space Information Networks
    Hanxi Guo, Qing Yang, Hao Wang, Yang Hua, Tao Song, Ruhui Ma, and Haibing Guan
    IEEE Network 2021
    PDF
  3. ACSOS
    FaaSRank: Learning to Schedule Functions in Serverless Platforms
    Hanfei Yu, Athirai A. Irissappane, Hao Wang, and Wes J. Lloyd
    In IEEE International Conference on Autonomic Computing and Self-Organizing Systems 2021
    PDF
  4. ICCV
    Self-Supervised Vessel Segmentation via Adversarial Learning
    Yuxin Ma, Yang Hua, Hanming Deng, Tao Song, Hao Wang, Zhengui Xue, Heng Cao, Ruhui Ma, and Haibing Guan
    In International Conference on Computer Vision 2021
    PDF
  5. SoCC
    Siren: Byzantine-robust Federated Learning via Proactive Alarming
    Hanxi Guo, Hao Wang, Tao Song, Yang Hua, Zhangcheng Lv, Xiulang Jin, Zhengui Xue, Ruhui Ma, and Haibing Guan
    In Proceedings of the ACM Symposium on Cloud Computing 2021
    PDF Code

2020

  1. TPDS
    Turbo: Dynamic and Decentralized Global Analytics via Machine Learning
    Hao Wang, Di Niu, and Baochun Li
    IEEE Transactions on Parallel and Distributed Systems 2020
  2. INFOCOM
    Optimizing Federated Learning on Non-IID Data with Reinforcement Learning
    Hao Wang, Zakhary Kaplan, Di Niu, and Baochun Li
    In IEEE International Conference on Computer Communications (INFOCOM) 2020
    PDF Slides
  3. Thesis
    Optimizing Distributed Computing Systems via Machine Learning
    Hao Wang
    2020
    HTML

2019

  1. INFOCOM
    Distributed Machine Learning with a Serverless Architecture
    Hao Wang, Di Niu, and Baochun Li
    In IEEE International Conference on Computer Communications (INFOCOM) 2019
    PDF Slides

2018

  1. SoCC
    Dynamic and Decentralized Global Analytics via Machine Learning
    Hao Wang, Di Niu, and Baochun Li
    In Proceedings of the ACM Symposium on Cloud Computing 2018
    PDF Poster Slides
  2. TNSE
    Mitigating Bottlenecks in Wide Area Data Analytics via Machine Learning
    Hao Wang, and Baochun Li
    IEEE Transactions on Network Science and Engineering 2018

2017

  1. HotCloud
    Lube: Mitigating Bottlenecks in Wide Area Data Analytics
    Hao Wang, and Baochun Li
    In 9th {USENIX} Workshop on Hot Topics in Cloud Computing (HotCloud 17) 2017
    PDF Poster Slides
  2. ToN
    Pias: Practical information-agnostic flow scheduling for commodity data centers
    Wei Bai, Li Chen, Kai Chen, Dongsu Han, Chen Tian, and Hao Wang
    IEEE/ACM Transactions on Networking 2017
  3. ICDCS
    Optimizing Shuffle in Wide-area Data Analytics
    Shuhao Liu, Hao Wang, and Baochun Li
    In IEEE 37th International Conference on Distributed Computing Systems (ICDCS) 2017

2016

  1. ToN
    Guaranteeing deadlines for inter-data center transfers
    Hong Zhang, Kai Chen, Wei Bai, Dongsu Han, Chen Tian, Hao Wang, Haibing Guan, and Ming Zhang
    IEEE/ACM Transactions on Networking 2016

2015

  1. ICDCS
    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, and Yanhui Geng
    In 2015 IEEE 35th International Conference on Distributed Computing Systems 2015
    PDF Slides
  2. NSDI
    Explicit path control in commodity data centers: Design and applications
    Shuihai Hu, Kai Chen, Haitao Wu, Wei Bai, Chang Lan, Hao Wang, Hongze Zhao, and Chuanxiong Guo
    In 12th {USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 15) 2015
  3. NSDI
    Information-agnostic flow scheduling for commodity data centers
    Wei Bai, Li Chen, Kai Chen, Dongsu Han, Chen Tian, and Hao Wang
    In 12th {USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 15) 2015
  4. ToN
    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, and Lin Gu
    IEEE/ACM Transactions on Networking 2015

2014

  1. ICCCN
    On pricing schemes in data center network with game theoretic approach
    Hao Wang, Yangming Zhao, and Haibing Guan
    In 2014 23rd International Conference on Computer Communication and Networks (ICCCN) 2014
    PDF Slides