Liqiang Wang
Orcid: 0000-0002-1265-4656Affiliations:
- University of Central Florida, Department of Computer Science, Orlando, FL, USA
- IBM T.J. Watson Research Center, Ossining, NY, USA (2012-2013)
- University of Wyoming, Department of Computer Science, Laramie, WY, USA (2006-2015)
- Stony Brook University, NY, USA (PhD 2006)
According to our database1,
Liqiang Wang
authored at least 86 papers
between 2013 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
An Efficient Privacy-Enhanced Federated Learning With Single-Key Homomorphic Encryption.
IEEE Internet Things J., July, 2025
Optimizing vehicle edge computing task offloading at intersections: a fuzzy decision-making approach.
J. Supercomput., January, 2025
Onboard Edge Computing: Optimizing Resource Allocation and Offloading in Mobile Scenarios.
IEEE Internet Things J., 2025
Enhanced RIS-assisted vehicular network with TDMA and Bayesian Compressive Sensing-based channel estimation.
Comput. Networks, 2025
2024
An Unsupervised Gradient-Based Approach for Real-Time Log Analysis From Distributed Systems.
Int. J. Cooperative Inf. Syst., June, 2024
Efficient zeroth-order proximal stochastic method for nonconvex nonsmooth black-box problems.
Mach. Learn., January, 2024
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
Democratic Learning: A Distributed Machine Learning Framework with Collaborative Voting and Model Pruning for Privacy and Security.
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the Workshop Proceedings of the 53rd International Conference on Parallel Processing, 2024
Proceedings of the International Conference on Machine Learning and Applications, 2024
GAT-SQL: An Advanced Prompt Engineering Approach for Effective Text-to-SQL Interactions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
2023
Pattern Recognit. Lett., December, 2023
A Multimodel Edge Computing Offloading Framework for Deep-Learning Application Based on Bayesian Optimization.
IEEE Internet Things J., October, 2023
Anthropomorphic diagnosis of runtime hidden behaviors in OpenMP multi-threaded applications.
J. Parallel Distributed Comput., July, 2023
Contrastive JS: A Novel Scheme for Enhancing the Accuracy and Robustness of Deep Models.
IEEE Trans. Multim., 2023
Inf. Sci., 2023
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
Proceedings of the International Conference on Machine Learning and Applications, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE Trans. Circuits Syst. Video Technol., 2022
Pattern Recognit., 2022
J. Circuits Syst. Comput., 2022
APR-ES: Adaptive Penalty-Reward Based Evolution Strategy for Deep Reinforcement Learning.
Proceedings of the IEEE Smartworld, 2022
Anti-Neuron Watermarking: Protecting Personal Data Against Unauthorized Neural Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Neurocomputing, 2021
AEVRNet: Adaptive exploration network with variance reduced optimization for visual tracking.
Neurocomputing, 2021
Anti-Neuron Watermarking: Protecting Personal Data Against Unauthorized Neural Model Training.
CoRR, 2021
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis.
Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021
2020
Attention shake siamese network with auxiliary relocation branch for visual object tracking.
Neurocomputing, 2020
Robust Sparse Regularization: Defending Adversarial Attacks Via Regularized Sparse Network.
Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation From a Blackbox Model.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
ACM Trans. Manag. Inf. Syst., 2019
Future Gener. Comput. Syst., 2019
LADRA: Log-based abnormal task detection and root-cause analysis in big data processing with Spark.
Future Gener. Comput. Syst., 2019
Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness.
CoRR, 2019
CoRR, 2019
NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
J. Vis. Lang. Comput., 2018
Softw. Qual. J., 2018
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018
Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect.
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 2018 IEEE International Conference on Cloud Engineering, 2018
How Local Is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization.
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018
Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018
A Reinforcement Learning Based Resource Management Approach for Time-critical Workloads in Distributed Computing Environment.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Proceedings of the 56th Annual Allerton Conference on Communication, 2018
2017
J. Vis. Lang. Comput., 2017
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017
Proceedings of the 2017 IEEE International Conference on Web Services, 2017
Proceedings of the 23rd International Conference on Distributed Multimedia Systems, 2017
Proceedings of the 15th IEEE Intl Conf on Dependable, 2017
Proceedings of the 15th IEEE Intl Conf on Dependable, 2017
Proceedings of the 31st International Conference on Advanced Information Networking and Applications Workshops, 2017
Proceedings of the 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 2017
2016
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016
Proceedings of the 1st International Workshop on Specification, 2016
An Intelligent QoS Identification for Untrustworthy Web Services via Two-Phase Neural Networks.
Proceedings of the IEEE International Conference on Web Services, 2016
A Novel Priority-based Deadlock Detection and Resolution Algorithm in Mobile Agent Systems.
Proceedings of the 22nd International Conference on Distributed Multimedia Systems, 2016
Migrating GIS Big Data Computing from Hadoop to Spark: An Exemplary Study Using Twitter.
Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016
Auto-tuning Performance of MPI Parallel Programs Using Resource Management in Container-Based Virtual Cloud.
Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016
2015
Int. J. Softw. Eng. Knowl. Eng., 2015
HBTM: A Heartbeat-based Behavior Detection Mechanism for POSIX Threads and OpenMP Applications.
CoRR, 2015
Proceedings of the 2015 IEEE International Conference on Web Services, 2015
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015
Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015
2014
Proceedings of the 43rd International Conference on Parallel Processing, 2014
2013
CAP3: A Cloud Auto-Provisioning Framework for Parallel Processing Using On-Demand and Spot Instances.
Proceedings of the 2013 IEEE Sixth International Conference on Cloud Computing, Santa Clara, CA, USA, June 28, 2013