Liqiang Wang

Orcid: 0000-0002-1265-4656

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

Ar-Spider: Text-to-SQL in Arabic.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

Community-aware graph debiased contrastive representation learning.
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

Detecting Data Races in OpenMP with Deep Learning and Large Language Models.
Proceedings of the Workshop Proceedings of the 53rd International Conference on Parallel Processing, 2024

REFORMER: A ChatGPT-Driven Data Synthesis Framework Elevating Text-to-SQL Models.
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
On complementing unsupervised learning with uncertainty quantification.
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

Black-box attacks against log anomaly detection with adversarial examples.
Inf. Sci., 2023

Minimally Distorted Structured Adversarial Attacks.
Int. J. Comput. Vis., 2023

Multi-modal Domain Adaptation for REG via Relation Transfer.
CoRR, 2023

Ensemble Distillation for Out-of-distribution Detection.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

SIGMA: A Dataset for Text-to-Code Semantic Parsing with Statistical Analysis.
Proceedings of the International Conference on Machine Learning and Applications, 2023

On Calibrating Semantic Segmentation Models: Analyses and An Algorithm.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
NoisyOTNet: A Robust Real-Time Vehicle Tracking Model for Traffic Surveillance.
IEEE Trans. Circuits Syst. Video Technol., 2022

ADCNN: Towards learning adaptive dilation for convolutional neural networks.
Pattern Recognit., 2022

Bug-Transformer: Automated Program Repair Using Attention-Based Deep Neural Network.
J. Circuits Syst. Comput., 2022

On Calibrating Semantic Segmentation Models: Analysis and An Algorithm.
CoRR, 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

CTIN: Robust Contextual Transformer Network for Inertial Navigation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Active dropblock: Method to enhance deep model accuracy and robustness.
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

Analyzing Deep Neural Network's Transferability via Fréchet Distance.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

A Lazy Approach to Long-Horizon Gradient-Based Meta-Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Ranking Neural Checkpoints.
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

Trace-Norm Adversarial Examples.
CoRR, 2020

Robust Sparse Regularization: Defending Adversarial Attacks Via Regularized Sparse Network.
Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

Improving Object Detection with Selective Self-supervised Self-training.
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

BachGAN: High-Resolution Image Synthesis From Salient Object Layout.
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

AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Interaction Models for Detecting Nodal Activities in Temporal Social Media Networks.
ACM Trans. Manag. Inf. Syst., 2019

Meteor: Optimizing spark-on-yarn for short applications.
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

Defending Against Adversarial Attacks Using Random Forests.
CoRR, 2019

Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness.
CoRR, 2019

Depthwise Convolution is All You Need for Learning Multiple Visual Domains.
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

Defending Against Adversarial Attacks Using Random Forest.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Depthwise Convolution Is All You Need for Learning Multiple Visual Domains.
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
NPIY : A novel partitioner for improving mapreduce performance.
J. Vis. Lang. Comput., 2018

A fault tolerant election-based deadlock detection algorithm in distributed systems.
Softw. Qual. J., 2018

Naive Bayes Classifier Based Partitioner for MapReduce.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018

A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels.
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

Tuning Performance of Spark Programs.
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

FTSGD: An Adaptive Stochastic Gradient Descent Algorithm for Spark MLlib.
Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018

Detecting Anomaly in Big Data System Logs Using Convolutional Neural Network.
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

A Proximal Zeroth-Order Algorithm for Nonconvex Nonsmooth Problems.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017
Detecting and resolving deadlocks in mobile agent systems.
J. Vis. Lang. Comput., 2017

MRapid: An Efficient Short Job Optimizer on Hadoop.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

Log-based Abnormal Task Detection and Root Cause Analysis for Spark.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Improving MapReduce Performance By Using A New Partitioner In YARN.
Proceedings of the 23rd International Conference on Distributed Multimedia Systems, 2017

A Survey of Semantics-Aware Performance Optimization for Data-Intensive Computing.
Proceedings of the 15th IEEE Intl Conf on Dependable, 2017

Optimizing MapReduce Partitioner Using Naive Bayes Classifier.
Proceedings of the 15th IEEE Intl Conf on Dependable, 2017

MRSIM: Mitigating Reducer Skew In MapReduce.
Proceedings of the 31st International Conference on Advanced Information Networking and Applications Workshops, 2017

Hierarchical Spark: A Multi-Cluster Big Data Computing Framework.
Proceedings of the 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 2017

2016
FAQS: Fast Web Service Composition Algorithm Based on QoS-Aware Sampling.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016

A leader election based deadlock detection algorithm in distributed systems.
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
Cloud Computing Research Analysis Using Bibliometric Method.
Int. J. Softw. Eng. Knowl. Eng., 2015

HBTM: A Heartbeat-based Behavior Detection Mechanism for POSIX Threads and OpenMP Applications.
CoRR, 2015

A Resilient Framework for Fault Handling in Web Service Oriented Systems.
Proceedings of the 2015 IEEE International Conference on Web Services, 2015

A Novel Concurrent Generalized Deadlock Detection Algorithm in Distributed Systems.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

Dart: A Geographic Information System on Hadoop.
Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014
SMARTH: Enabling Multi-pipeline Data Transfer in HDFS.
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


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