Hao Wang

Orcid: 0000-0002-1444-2657

Affiliations:
  • Louisiana State University, Baton Rouge, USA
  • University of Toronto, Canada (former)
  • Shanghai Jiao Tong University, Shanghai, China (former)


According to our database1, Hao Wang authored at least 56 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Freyr $^+$+: Harvesting Idle Resources in Serverless Computing via Deep Reinforcement Learning.
IEEE Trans. Parallel Distributed Syst., November, 2024

Room-scale Location Trace Tracking via Continuous Acoustic Waves.
ACM Trans. Sens. Networks, May, 2024

Energy and Spectrum Efficient Federated Learning via High-Precision Over-the-Air Computation.
IEEE Trans. Wirel. Commun., February, 2024

Robust Searching-Based Gradient Collaborative Management in Intelligent Transportation System.
ACM Trans. Multim. Comput. Commun. Appl., February, 2024

Siren$^+$+: Robust Federated Learning With Proactive Alarming and Differential Privacy.
IEEE Trans. Dependable Secur. Comput., 2024

Poisoning with A Pill: Circumventing Detection in Federated Learning.
CoRR, 2024

Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks.
CoRR, 2024

Enhancing Model Poisoning Attacks to Byzantine-Robust Federated Learning via Critical Learning Periods.
Proceedings of the 27th International Symposium on Research in Attacks, 2024

Federated Morozov Regularization for Shortcut Learning in Privacy Preserving Learning with Watermarked Image Data.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

FedRoLA: Robust Federated Learning Against Model Poisoning via Layer-based Aggregation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Backdoor Federated Learning by Poisoning Backdoor-Critical Layers.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

RainbowCake: Mitigating Cold-starts in Serverless with Layer-wise Container Caching and Sharing.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
<i>WH</i><sup>2</sup><i>D</i><sup>2</sup><i>N</i><sup>2</sup>: Distributed AI-enabled OK-ASN Service for Web of Things.
ACM Trans. Asian Low Resour. Lang. Inf. Process., May, 2023

SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks.
CoRR, 2023

Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning.
CoRR, 2023

Chrion: Optimizing Recurrent Neural Network Inference by Collaboratively Utilizing CPUs and GPUs.
CoRR, 2023

Eliminating Domain Bias for Federated Learning in Representation Space.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy.
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.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Libra: Harvesting Idle Resources Safely and Timely in Serverless Clusters.
Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

Information Bound and Its Applications in Bayesian Neural Networks.
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.
Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

FedALA: Adaptive Local Aggregation for Personalized Federated Learning.
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.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.
CoRR, 2022

Accelerating Serverless Computing by Harvesting Idle Resources.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Improving Bayesian Neural Networks by Adversarial Sampling.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Seizing Critical Learning Periods in Federated Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
SpaceDML: Enabling Distributed Machine Learning in Space Information Networks.
IEEE Netw., 2021

Critical Learning Periods in Federated Learning.
CoRR, 2021

Harvesting Idle Resources in Serverless Computing via Reinforcement Learning.
CoRR, 2021

Themis: A Fair Evaluation Platform for Computer Vision Competitions.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Self-Supervised Vessel Segmentation via Adversarial Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Siren: Byzantine-robust Federated Learning via Proactive Alarming.
Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

FaaSRank: Learning to Schedule Functions in Serverless Platforms.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2021

2020
Turbo: Dynamic and Decentralized Global Analytics via Machine Learning.
IEEE Trans. Parallel Distributed Syst., 2020

Mitigating Bottlenecks in Wide Area Data Analytics via Machine Learning.
IEEE Trans. Netw. Sci. Eng., 2020

Optimizing Federated Learning on Non-IID Data with Reinforcement Learning.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

2019
Distributed Machine Learning with a Serverless Architecture.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

2018
Dynamic and Decentralized Global Analytics via Machine Learning.
Proceedings of the ACM Symposium on Cloud Computing, 2018

2017
Guaranteeing Deadlines for Inter-Data Center Transfers.
IEEE/ACM Trans. Netw., 2017

PIAS: Practical Information-Agnostic Flow Scheduling for Commodity Data Centers.
IEEE/ACM Trans. Netw., 2017

Optimizing Shuffle in Wide-Area Data Analytics.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Lube: Mitigating Bottlenecks in Wide Area Data Analytics.
Proceedings of the 9th USENIX Workshop on Hot Topics in Cloud Computing, 2017

2016
Towards Comprehensive Traffic Forecasting in Cloud Computing: Design and Application.
IEEE/ACM Trans. Netw., 2016

Explicit Path Control in Commodity Data Centers: Design and Applications.
IEEE/ACM Trans. Netw., 2016

2015
Information-Agnostic Flow Scheduling for Commodity Data Centers.
Proceedings of the 12th USENIX Symposium on Networked Systems Design and Implementation, 2015

FLOWPROPHET: Generic and Accurate Traffic Prediction for Data-Parallel Cluster Computing.
Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015

Guaranteeing deadlines for inter-datacenter transfers.
Proceedings of the Tenth European Conference on Computer Systems, 2015

2014
On pricing schemes in data center network with game theoretic approach.
Proceedings of the 23rd International Conference on Computer Communication and Networks, 2014

2009
FLTL-MC: Online High Level Program Analysis for Web Services.
Proceedings of the 2009 IEEE Congress on Services, Part I, 2009

2008
An Online Model Checking Tool for Safety and Liveness Bugs.
Proceedings of the 14th International Conference on Parallel and Distributed Systems, 2008


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