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ORCIDLiqiang Wang 0001
Person information
- affiliation: University of Central Florida, Department of Computer Science, Orlando, FL, USA
- affiliation (2012-2013): IBM T.J. Watson Research Center, Ossining, NY, USA
- affiliation (2006-2015): University of Wyoming, Department of Computer Science, Laramie, WY, USA
- affiliation (PhD 2006): Stony Brook University, NY, USA
Other persons with the same name
- Liqiang Wang — disambiguation page
- Liqiang Wang 0002
![[0000-0002-2437-3077]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-2437-3077")
— Wuhan University, GNSS Research Center, China
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2020 – today
- 2025
[j25]Zijian Chen, Hong Zhang, Miao Wang, Liqiang Wang, Lei Zhang:
Onboard Edge Computing: Optimizing Resource Allocation and Offloading in Mobile Scenarios. IEEE Internet Things J. 12(1): 345-361 (2025)- [j24]Lei Zhang, Miao Wang, Liqiang Wang, Zijian Chen, Hong Zhang:
Optimizing vehicle edge computing task offloading at intersections: a fuzzy decision-making approach. J. Supercomput. 81(1): 29 (2025) - 2024
- [j23]Minquan Wang, Siyang Lu, Sizhe Xiao, Dongdong Wang, Wei Xiang, Ningning Han, Liqiang Wang:
An Unsupervised Gradient-Based Approach for Real-Time Log Analysis From Distributed Systems. Int. J. Cooperative Inf. Syst. 33(2): 2350018:1-2350018:18 (2024) - [j22]Ehsan Kazemi, Liqiang Wang:
Efficient zeroth-order proximal stochastic method for nonconvex nonsmooth black-box problems. Mach. Learn. 113(1): 97-120 (2024) - [c50]Saleh Almohaimeed, Saad Almohaimeed, Liqiang Wang:
GAT-SQL: An Advanced Prompt Engineering Approach for Effective Text-to-SQL Interactions. CEC 2024: 1-10 - [c49]May Alsofyani, Liqiang Wang:
Detecting Data Races in OpenMP with Deep Learning and Large Language Models. ICPP Workshops 2024: 96-103 - [c48]Mingyang Lv, Hong Zhang, Miao Wang, Liqiang Wang, Peng Wu:
Democratic Learning: A Distributed Machine Learning Framework with Collaborative Voting and Model Pruning for Privacy and Security. IJCNN 2024: 1-9 - [c47]Peng Wu, Hong Zhang, Miao Wang, Liqiang Wang, Meng Wang, Mingyang Lv:
Community-aware graph debiased contrastive representation learning. IJCNN 2024: 1-9 - [c46]Saleh Almohaimeed, Saad Almohaimeed, Mansour Al Ghanim, Liqiang Wang:
Ar-Spider: Text-to-SQL in Arabic. SAC 2024: 1024-1030 - [i25]Saleh Almohaimeed, Saad Almohaimeed, Mansour Al Ghanim, Liqiang Wang:
Ar-Spider: Text-to-SQL in Arabic. CoRR abs/2402.15012 (2024) - 2023
- [j21]Ehsan Kazemi, Thomas Kerdreux, Liqiang Wang:
Minimally Distorted Structured Adversarial Attacks. Int. J. Comput. Vis. 131(1): 160-176 (2023) - [j20]Zidi Zhao, Hong Zhang, Liqiang Wang, Haijun Huang:
A Multimodel Edge Computing Offloading Framework for Deep-Learning Application Based on Bayesian Optimization. IEEE Internet Things J. 10(20): 18387-18399 (2023) - [j19]Siyang Lu, Mingquan Wang, Dongdong Wang, Xiang Wei, Sizhe Xiao, Zhiwei Wang, Ningning Han, Liqiang Wang:
Black-box attacks against log anomaly detection with adversarial examples. Inf. Sci. 619: 249-262 (2023) - [j18]Weidong Wang, Dian Li, Wangda Luo, Yujian Kang, Liqiang Wang:
Anthropomorphic diagnosis of runtime hidden behaviors in OpenMP multi-threaded applications. J. Parallel Distributed Comput. 177: 17-27 (2023) - [j17]Ehsan Kazemi, Fariborz Taherkhani, Liqiang Wang:
On complementing unsupervised learning with uncertainty quantification. Pattern Recognit. Lett. 176: 69-75 (2023) - [j16]Weiwei Xing, Jie Yao, Zixia Liu, Weibin Liu, Shunli Zhang, Liqiang Wang:
Contrastive JS: A Novel Scheme for Enhancing the Accuracy and Robustness of Deep Models. IEEE Trans. Multim. 25: 7881-7893 (2023) - [c45]Dongdong Wang, Boqing Gong, Liqiang Wang:
On Calibrating Semantic Segmentation Models: Analyses and An Algorithm. CVPR 2023: 23652-23662 - [c44]Saleh Almohaimeed, Shenyang Liu, May Alsofyani, Saad Almohaimeed, Liqiang Wang:
SIGMA: A Dataset for Text-to-Code Semantic Parsing with Statistical Analysis. ICMLA 2023: 851-857 - [c43]Dongdong Wang, Jingyao Xu, Siyang Lu, Xiang Wei, Liqiang Wang:
Ensemble Distillation for Out-of-distribution Detection. ICPADS 2023: 248-253 - [i24]Yifan Ding, Liqiang Wang, Boqing Gong:
Multi-modal Domain Adaptation for REG via Relation Transfer. CoRR abs/2309.13247 (2023) - 2022
- [j15]Jie Yao, Bingbing Rao, Weiwei Xing, Liqiang Wang:
Bug-Transformer: Automated Program Repair Using Attention-Based Deep Neural Network. J. Circuits Syst. Comput. 31(12): 2250210:1-2250210:26 (2022) - [j14]Jie Yao, Dongdong Wang, Hao Hu, Weiwei Xing, Liqiang Wang:
ADCNN: Towards learning adaptive dilation for convolutional neural networks. Pattern Recognit. 123: 108369 (2022) - [j13]Weiwei Xing, Yuxiang Yang, Shunli Zhang, Qi Yu, Liqiang Wang:
NoisyOTNet: A Robust Real-Time Vehicle Tracking Model for Traffic Surveillance. IEEE Trans. Circuits Syst. Video Technol. 32(4): 2107-2119 (2022) - [c42]Bingbing Rao, Ehsan Kazemi, Yifan Ding, Devu M. Shila, Frank M. Tucker, Liqiang Wang:
CTIN: Robust Contextual Transformer Network for Inertial Navigation. AAAI 2022: 5413-5421 - [c41]Zihang Zou, Boqing Gong, Liqiang Wang:
Anti-Neuron Watermarking: Protecting Personal Data Against Unauthorized Neural Networks. ECCV (13) 2022: 449-465 - [c40]Dongdong Wang, Siyang Lu, Xiang Wei, Mingquan Wang, Yandong Li, Liqiang Wang:
APR-ES: Adaptive Penalty-Reward Based Evolution Strategy for Deep Reinforcement Learning. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 417-424 - [i23]Dongdong Wang, Boqing Gong, Liqiang Wang:
On Calibrating Semantic Segmentation Models: Analysis and An Algorithm. CoRR abs/2212.12053 (2022) - 2021
- [j12]Yuxiang Yang, Weiwei Xing, Dongdong Wang, Shunli Zhang, Qi Yu, Liqiang Wang:
AEVRNet: Adaptive exploration network with variance reduced optimization for visual tracking. Neurocomputing 449: 48-60 (2021) - [j11]Jie Yao, Weiwei Xing, Dongdong Wang, Jintao Xing, Liqiang Wang:
Active dropblock: Method to enhance deep model accuracy and robustness. Neurocomputing 454: 189-200 (2021) - [c39]Bingbing Rao, Zixia Liu, Hong Zhang, Siyang Lu, Liqiang Wang:
SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis. CLOUD 2021: 433-444 - [c38]Yandong Li, Xuhui Jia, Ruoxin Sang, Yukun Zhu, Bradley Green, Liqiang Wang, Boqing Gong:
Ranking Neural Checkpoints. CVPR 2021: 2663-2673 - [c37]Muhammad Abdullah Jamal, Liqiang Wang, Boqing Gong:
A Lazy Approach to Long-Horizon Gradient-Based Meta-Learning. ICCV 2021: 6557-6566 - [c36]Yifan Ding, Liqiang Wang, Boqing Gong:
Analyzing Deep Neural Network's Transferability via Fréchet Distance. WACV 2021: 3931-3940 - [i22]Bingbing Rao, Zixia Liu, Hong Zhang, Siyang Lu, Liqiang Wang:
SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis. CoRR abs/2107.11536 (2021) - [i21]Bingbing Rao, Liqiang Wang:
A Survey of Semantics-Aware Performance Optimization for Data-Intensive Computing. CoRR abs/2107.11540 (2021) - [i20]Zihang Zou, Boqing Gong, Liqiang Wang:
Anti-Neuron Watermarking: Protecting Personal Data Against Unauthorized Neural Model Training. CoRR abs/2109.09023 (2021) - [i19]Bingbing Rao, Ehsan Kazemi, Yifan Ding, Devu M. Shila, Frank M. Tucker, Liqiang Wang:
CTIN: Robust Contextual Transformer Network for Inertial Navigation. CoRR abs/2112.02143 (2021) - 2020
- [j10]Jun Wang, Weibin Liu, Weiwei Xing, Liqiang Wang, Shunli Zhang:
Attention shake siamese network with auxiliary relocation branch for visual object tracking. Neurocomputing 400: 53-72 (2020) - [c35]Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing:
AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning. AAAI 2020: 4060-4066 - [c34]Dongdong Wang, Yandong Li, Liqiang Wang, Boqing Gong:
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation From a Blackbox Model. CVPR 2020: 1495-1504 - [c33]Muhammad Abdullah Jamal, Matthew Brown, Ming-Hsuan Yang, Liqiang Wang, Boqing Gong:
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective. CVPR 2020: 7607-7616 - [c32]Yandong Li, Yu Cheng, Zhe Gan, Licheng Yu, Liqiang Wang, Jingjing Liu:
BachGAN: High-Resolution Image Synthesis From Salient Object Layout. CVPR 2020: 8362-8371 - [c31]Yandong Li, Di Huang, Danfeng Qin, Liqiang Wang, Boqing Gong:
Improving Object Detection with Selective Self-supervised Self-training. ECCV (29) 2020: 589-607 - [c30]Adnan Siraj Rakin, Zhezhi He, Li Yang, Yanzhi Wang, Liqiang Wang, Deliang Fan:
Robust Sparse Regularization: Defending Adversarial Attacks Via Regularized Sparse Network. ACM Great Lakes Symposium on VLSI 2020: 125-130 - [i18]Muhammad Abdullah Jamal, Matthew Brown, Ming-Hsuan Yang, Liqiang Wang, Boqing Gong:
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective. CoRR abs/2003.10780 (2020) - [i17]Yandong Li, Yu Cheng, Zhe Gan, Licheng Yu, Liqiang Wang, Jingjing Liu:
BachGAN: High-Resolution Image Synthesis from Salient Object Layout. CoRR abs/2003.11690 (2020) - [i16]Dongdong Wang, Yandong Li, Liqiang Wang, Boqing Gong:
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model. CoRR abs/2003.13960 (2020) - [i15]Ehsan Kazemi, Thomas Kerdreux, Liqiang Wang:
Trace-Norm Adversarial Examples. CoRR abs/2007.01855 (2020) - [i14]Yandong Li, Di Huang, Danfeng Qin, Liqiang Wang, Boqing Gong:
Improving Object Detection with Selective Self-supervised Self-training. CoRR abs/2007.09162 (2020) - [i13]Yandong Li, Xuhui Jia, Ruoxin Sang, Yukun Zhu, Bradley Green, Liqiang Wang, Boqing Gong:
Ranking Neural Checkpoints. CoRR abs/2011.11200 (2020)
2010 – 2019
- 2019
- [j9]Siyang Lu, Xiang Wei, Bingbing Rao, Byung-Chul Tak, Long Wang, Liqiang Wang:
LADRA: Log-based abnormal task detection and root-cause analysis in big data processing with Spark. Future Gener. Comput. Syst. 95: 392-403 (2019) - [j8]Hong Zhang, Hai Huang, Liqiang Wang:
Meteor: Optimizing spark-on-yarn for short applications. Future Gener. Comput. Syst. 101: 262-271 (2019) - [j7]Wingyan Chung, Bingbing Rao, Liqiang Wang:
Interaction Models for Detecting Nodal Activities in Temporal Social Media Networks. ACM Trans. Manag. Inf. Syst. 10(4): 14:1-14:30 (2019) - [c29]Ehsan Kazemi, Liqiang Wang:
Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems. AAAI 2019: 1528-1535 - [c28]Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing:
Depthwise Convolution Is All You Need for Learning Multiple Visual Domains. AAAI 2019: 8368-8375 - [c27]Yifan Ding, Liqiang Wang, Huan Zhang, Jinfeng Yi, Deliang Fan, Boqing Gong:
Defending Against Adversarial Attacks Using Random Forest. CVPR Workshops 2019: 105-114 - [c26]Yandong Li, Lijun Li, Liqiang Wang, Tong Zhang, Boqing Gong:
NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks. ICML 2019: 3866-3876 - [i12]Yunhui Guo, Yandong Li, Rogério Schmidt Feris, Liqiang Wang, Tajana Rosing:
Depthwise Convolution is All You Need for Learning Multiple Visual Domains. CoRR abs/1902.00927 (2019) - [i11]Ehsan Kazemi, Liqiang Wang:
Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems. CoRR abs/1902.01856 (2019) - [i10]Yandong Li, Lijun Li, Liqiang Wang, Tong Zhang, Boqing Gong:
NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks. CoRR abs/1905.00441 (2019) - [i9]Adnan Siraj Rakin, Zhezhi He, Li Yang, Yanzhi Wang, Liqiang Wang, Deliang Fan:
Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness. CoRR abs/1905.13074 (2019) - [i8]Yifan Ding, Liqiang Wang, Huan Zhang, Jinfeng Yi, Deliang Fan, Boqing Gong:
Defending Against Adversarial Attacks Using Random Forests. CoRR abs/1906.06765 (2019) - [i7]Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing:
AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning. CoRR abs/1911.09659 (2019) - 2018
- [j6]Lei Chen, Wei Lu, Ergude Bao, Liqiang Wang, Weiwei Xing, Yuanyuan Cai:
Naive Bayes Classifier Based Partitioner for MapReduce. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 101-A(5): 778-786 (2018) - [j5]Wei Lu, Yong Yang, Liqiang Wang, Weiwei Xing, Xiaoping Che, Lei Chen:
A fault tolerant election-based deadlock detection algorithm in distributed systems. Softw. Qual. J. 26(3): 991-1013 (2018) - [j4]Wei Lu, Lei Chen, Liqiang Wang, Haitao Yuan, Weiwei Xing, Yong Yang:
NPIY : A novel partitioner for improving mapreduce performance. J. Vis. Lang. Comput. 46: 1-11 (2018) - [c25]Ehsan Kazemi, Liqiang Wang:
A Proximal Zeroth-Order Algorithm for Nonconvex Nonsmooth Problems. Allerton 2018: 64-71 - [c24]Zixia Liu, Hong Zhang, BingBing Rao, Liqiang Wang:
A Reinforcement Learning Based Resource Management Approach for Time-critical Workloads in Distributed Computing Environment. IEEE BigData 2018: 252-261 - [c23]Siyang Lu, Xiang Wei, Yandong Li, Liqiang Wang:
Detecting Anomaly in Big Data System Logs Using Convolutional Neural Network. DASC/PiCom/DataCom/CyberSciTech 2018: 151-158 - [c22]Hong Zhang, Zixia Liu, Hai Huang, Liqiang Wang:
FTSGD: An Adaptive Stochastic Gradient Descent Algorithm for Spark MLlib. DASC/PiCom/DataCom/CyberSciTech 2018: 828-835 - [c21]Yandong Li, Liqiang Wang, Tianbao Yang, Boqing Gong:
How Local Is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization. ECCV (8) 2018: 156-174 - [c20]Hong Zhang, Zixia Liu, Liqiang Wang:
Tuning Performance of Spark Programs. IC2E 2018: 282-285 - [c19]Xiang Wei, Boqing Gong, Zixia Liu, Wei Lu, Liqiang Wang:
Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect. ICLR (Poster) 2018 - [c18]Yifan Ding, Liqiang Wang, Deliang Fan, Boqing Gong:
A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels. WACV 2018: 1215-1224 - [i6]Yifan Ding, Liqiang Wang, Deliang Fan, Boqing Gong:
A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels. CoRR abs/1802.02679 (2018) - [i5]Xiang Wei, Boqing Gong, Zixia Liu, Wei Lu, Liqiang Wang:
Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect. CoRR abs/1803.01541 (2018) - [i4]Yandong Li, Liqiang Wang, Tianbao Yang, Boqing Gong:
How Local is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization. CoRR abs/1807.04219 (2018) - [i3]Ehsan Kazemi, Liqiang Wang:
A Proximal Zeroth-Order Algorithm for Nonconvex Nonsmooth Problems. CoRR abs/1810.10085 (2018) - 2017
- [j3]Yong Yang, Wei Lu, Weiwei Xing, Liqiang Wang, Xiaoping Che, Lei Chen:
Detecting and resolving deadlocks in mobile agent systems. J. Vis. Lang. Comput. 42: 23-30 (2017) - [c17]Zixia Liu, Hong Zhang, Liqiang Wang:
Hierarchical Spark: A Multi-Cluster Big Data Computing Framework. CLOUD 2017: 90-97 - [c16]Lei Chen, Wei Lu, Xiaoping Che, Weiwei Xing, Liqiang Wang, Yong Yang:
MRSIM: Mitigating Reducer Skew In MapReduce. AINA Workshops 2017: 379-384 - [c15]BingBing Rao, Liqiang Wang:
A Survey of Semantics-Aware Performance Optimization for Data-Intensive Computing. DASC/PiCom/DataCom/CyberSciTech 2017: 81-88 - [c14]Lei Chen, Wei Lu, Liqiang Wang, Ergude Bao, Weiwei Xing, Yong Yang, Victor Yuan:
Optimizing MapReduce Partitioner Using Naive Bayes Classifier. DASC/PiCom/DataCom/CyberSciTech 2017: 812-819 - [c13]Lei Chen, Haitao Yuan, Weiwei Xing, Liqiang Wang, Yong Yang, Wei Lu:
Improving MapReduce Performance By Using A New Partitioner In YARN. DMSVLSS 2017: 24-33 - [c12]Siyang Lu, BingBing Rao, Xiang Wei, Byung-Chul Tak, Long Wang, Liqiang Wang:
Log-based Abnormal Task Detection and Root Cause Analysis for Spark. ICWS 2017: 389-396 - [c11]Hong Zhang, Hai Huang, Liqiang Wang:
MRapid: An Efficient Short Job Optimizer on Hadoop. IPDPS 2017: 459-468 - 2016
- [j2]Wei Lu, Weidong Wang, Ergude Bao, Liqiang Wang, Weiwei Xing, Yue Chen:
FAQS: Fast Web Service Composition Algorithm Based on QoS-Aware Sampling. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 99-A(4): 826-834 (2016) - [c10]Zhibo Sun, Hong Zhang, Zixia Liu, Chen Xu, Liqiang Wang:
Migrating GIS Big Data Computing from Hadoop to Spark: An Exemplary Study Using Twitter. CLOUD 2016: 351-358 - [c9]Hongyi Ma, Liqiang Wang, Byung-Chul Tak, Long Wang, Chunqiang Tang:
Auto-tuning Performance of MPI Parallel Programs Using Resource Management in Container-Based Virtual Cloud. CLOUD 2016: 545-552 - [c8]Yong Yang, Weiwei Xing, Liqiang Wang, Xiaoping Che, Wei Lu:
A Novel Priority-based Deadlock Detection and Resolution Algorithm in Mobile Agent Systems. DMS 2016: 61-68 - [c7]Weidong Wang, Liqiang Wang, Wei Lu:
An Intelligent QoS Identification for Untrustworthy Web Services via Two-Phase Neural Networks. ICWS 2016: 139-146 - [c6]Wei Lu, Yong Yang, Liqiang Wang, Weiwei Xing, Xiaoping Che:
A leader election based deadlock detection algorithm in distributed systems. SCTDCP@ASE 2016: 12-19 - [i2]Weidong Wang, Liqiang Wang, Wei Lu:
An Intelligent QoS Identification for Untrustworthy Web Services Via Two-phase Neural Networks. CoRR abs/1602.07366 (2016) - 2015
- [j1]Yuanyuan Cai, Wei Lu, Liqiang Wang, Weiwei Xing:
Cloud Computing Research Analysis Using Bibliometric Method. Int. J. Softw. Eng. Knowl. Eng. 25(3): 551-572 (2015) - [c5]Hong Zhang, Zhibo Sun, Zixia Liu, Chen Xu, Liqiang Wang:
Dart: A Geographic Information System on Hadoop. CLOUD 2015: 90-97 - [c4]Wei Lu, Yong Yang, Liqiang Wang, Weiwei Xing, Xiaoping Che:
A Novel Concurrent Generalized Deadlock Detection Algorithm in Distributed Systems. ICA3PP (2) 2015: 479-493 - [c3]Weidong Wang, Liqiang Wang, Wei Lu:
A Resilient Framework for Fault Handling in Web Service Oriented Systems. ICWS 2015: 663-670 - [i1]Weidong Wang, Chunhua Liao, Liqiang Wang, Daniel J. Quinlan, Wei Lu:
HBTM: A Heartbeat-based Behavior Detection Mechanism for POSIX Threads and OpenMP Applications. CoRR abs/1512.00665 (2015) - 2014
- [c2]Hong Zhang, Liqiang Wang, Hai Huang:
SMARTH: Enabling Multi-pipeline Data Transfer in HDFS. ICPP 2014: 30-39 - 2013
- [c1]He Huang, Liqiang Wang, Byung-Chul Tak, Long Wang, Chunqiang Tang:
CAP3: A Cloud Auto-Provisioning Framework for Parallel Processing Using On-Demand and Spot Instances. IEEE CLOUD 2013: 228-235
Coauthor Index
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