Hao Wang

Orcid: 0000-0002-1444-2657

Affiliations:

Stevens Institute of Technology, Hoboken, NJ, USA
Louisiana State University, Baton Rouge, USA (former)
University of Toronto, Canada (former, PhD 2020)
Shanghai Jiao Tong University, Shanghai, China (former)

According to our database¹, Hao Wang authored at least 64 papers between 2008 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack.

[BibT_eX]

[DOI]

CoRR, June, 2025

ServerlessLoRA: Minimizing Latency and Cost in Serverless Inference for LoRA-Based LLMs.

[BibT_eX]

[DOI]

CoRR, May, 2025

fMoE: Fine-Grained Expert Offloading for Large Mixture-of-Experts Serving.

[BibT_eX]

[DOI]

CoRR, February, 2025

THOR: A Generic Energy Estimation Approach for On-Device Training.

[BibT_eX]

[DOI]

CoRR, January, 2025

FedCod: An Efficient Communication Protocol for Cross-Silo Federated Learning with Coding.

[BibT_eX]

[DOI]

CoRR, January, 2025

WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Freyr $^+$+: Harvesting Idle Resources in Serverless Computing via Deep Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., November, 2024

Room-scale Location Trace Tracking via Continuous Acoustic Waves.

[BibT_eX]

[DOI]

ACM Trans. Sens. Networks, May, 2024

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

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., February, 2024

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

[BibT_eX]

[DOI]

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

Siren$^+$+: Robust Federated Learning With Proactive Alarming and Differential Privacy.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2024

Nitro: Boosting Distributed Reinforcement Learning with Serverless Computing.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2024

Poisoning with A Pill: Circumventing Detection in Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Stellaris: Staleness-Aware Distributed Reinforcement Learning with Serverless Computing.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2024

Enhancing Model Poisoning Attacks to Byzantine-Robust Federated Learning via Critical Learning Periods.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Backdoor Federated Learning by Poisoning Backdoor-Critical Layers.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SKYMASK: Attack-Agnostic Robust Federated Learning with Fine-Grained Learnable Masks.

[BibT_eX]

[DOI]

Mohammad Reza Haghighat

Haibing Guan

Proceedings of the Computer Vision - ECCV 2024, 2024

CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2024 ACM Symposium on Cloud Computing, 2024

RainbowCake: Mitigating Cold-starts in Serverless with Layer-wise Container Caching and Sharing.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

WH2D2N2: Distributed AI-enabled OK-ASN Service for Web of Things.

[BibT_eX]

[DOI]

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

PFLlib: Personalized Federated Learning Algorithm Library.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Eliminating Domain Bias for Federated Learning in Representation Space.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

[BibT_eX]

[DOI]

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

Information Bound and Its Applications in Bayesian Neural Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

FedALA: Adaptive Local Aggregation for Personalized Federated Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Accelerating Serverless Computing by Harvesting Idle Resources.

[BibT_eX]

[DOI]

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

Improving Bayesian Neural Networks by Adversarial Sampling.

[BibT_eX]

[DOI]

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

Seizing Critical Learning Periods in Federated Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Netw., 2021

Critical Learning Periods in Federated Learning.

[BibT_eX]

[DOI]

Gang Yan

Hao Wang

Jian Li

CoRR, 2021

Harvesting Idle Resources in Serverless Computing via Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Themis: A Fair Evaluation Platform for Computer Vision Competitions.

[BibT_eX]

[DOI]

Mohammad Reza Haghighat

Haibing Guan

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

Self-Supervised Vessel Segmentation via Adversarial Learning.

[BibT_eX]

[DOI]

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

Siren: Byzantine-robust Federated Learning via Proactive Alarming.

[BibT_eX]

[DOI]

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

FaaSRank: Learning to Schedule Functions in Serverless Platforms.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Hao Wang

Di Niu

Baochun Li

IEEE Trans. Parallel Distributed Syst., 2020

Mitigating Bottlenecks in Wide Area Data Analytics via Machine Learning.

[BibT_eX]

[DOI]

Hao Wang

Baochun Li

IEEE Trans. Netw. Sci. Eng., 2020

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

[BibT_eX]

[DOI]

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

2019

Distributed Machine Learning with a Serverless Architecture.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Hao Wang

Di Niu

Baochun Li

Proceedings of the ACM Symposium on Cloud Computing, 2018

2017

Guaranteeing Deadlines for Inter-Data Center Transfers.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2017

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

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2017

Optimizing Shuffle in Wide-Area Data Analytics.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2016

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

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2016

2015

Information-Agnostic Flow Scheduling for Commodity Data Centers.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Guaranteeing deadlines for inter-datacenter transfers.

[BibT_eX]

[DOI]

Proceedings of the Tenth European Conference on Computer Systems, 2015

2014

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2008

An Online Model Checking Tool for Safety and Liveness Bugs.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Parallel and Distributed Systems, 2008

Hao Wang

Timeline

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