Hao Wang
Orcid: 0000-0002-1444-2657Affiliations:
- 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 59 papers
between 2008 and 2024.
Collaborative distances:
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Bibliography
2024
Freyr $^+$+: Harvesting Idle Resources in Serverless Computing via Deep Reinforcement Learning.
IEEE Trans. Parallel Distributed Syst., November, 2024
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
Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks.
CoRR, 2024
Stellaris: Staleness-Aware Distributed Reinforcement Learning with Serverless Computing.
Proceedings of the International Conference for High Performance Computing, 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
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
Pre-Warming is Not Enough: Accelerating Serverless Inference With Opportunistic Pre-Loading.
Proceedings of the 2024 ACM Symposium on Cloud Computing, 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
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
Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023
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
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE Netw., 2021
CoRR, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2021
2020
IEEE Trans. Parallel Distributed Syst., 2020
IEEE Trans. Netw. Sci. Eng., 2020
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
2019
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019
2018
Proceedings of the ACM Symposium on Cloud Computing, 2018
2017
IEEE/ACM Trans. Netw., 2017
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017
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
IEEE/ACM Trans. Netw., 2016
2015
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
Proceedings of the Tenth European Conference on Computer Systems, 2015
2014
Proceedings of the 23rd International Conference on Computer Communication and Networks, 2014
2009
Proceedings of the 2009 IEEE Congress on Services, Part I, 2009
2008
Proceedings of the 14th International Conference on Parallel and Distributed Systems, 2008