Liqiang Wang Publications

Ph.D. Thesis

Liqiang Wang. Analysis of Synchronization Errors for Multithreaded Programs. Stony Brook University, NY, July 2006. [BibTex]. Advisor: Scott D. Stoller

Google Scholar: Please visit https://scholar.google.com/citations?user=mZKxB10AAAAJ&hl=en for the complete list of publications. Note that this list is not frequently updated.

Journal Publications

Zidi Zhao, Hong Zhang, Liqiang Wang, and Haijun Huang. A Multi-model Edge Computing Offloading Framework for Deep Learning Application Based on Bayesian Optimization. In IEEE Internet of Things Journal. May 2023. IEEE Press.

Ehsan Kazemi, Fariborz Taherkhani, and Liqiang Wang. Semisupervised Learning for Noise Suppression Using Deep Reinforcement Learning of Contrastive Features. In IEEE Sensors Letters. Volume 7, Issue 4, April 2023. IEEE Press.

Weidong Wang, Dian Li, Wangda Luo, Yujian Kang, and Liqiang Wang. Anthropomorphic diagnosis of runtime hidden behaviors in OpenMP multi-threaded applications. In Journal of Parallel and Distributed Computing. Volume 177, Pages 17-27. July 2023. Elsevier.

Siyang Lu, Mingquan Wang, Dongdong Wang, Xiang Wei, Sizhe Xiao, Zhiwei Wang, Ningning Han, and Liqiang Wang. Black-box Attacks Against Log Anomaly Detection with Adversarial Examples. In Information Sciences. Volume 619, Pages 249-262. January 2023.

Weiwei Xing, Yaojie Yao, Zixia Liu, Weibin Liu, Shunli Zhang, and Liqiang Wang. Contrastive JS: A Novel Scheme for Enhancing the Accuracy and Robustness of Deep Models. In IEEE Transactions on Multimedia (Impact Factor: 6.513). December 2022. IEEE Press.

Ehsan Kazemi, Thomas Kerdreux, Liqiang Wang. Minimally Distorted Structured Adversarial Attacks. In International Journal of Computer Vision, October 2022. Springer.*

Estee Y. Cramer, et al. The United States COVID-19 Forecast Hub dataset. In Scientific Data. 9, Article number: 462 (2022).

Jie Yao, Bingbing Rao, Weiwei Xing, Liqiang Wang. Bug-Transformer: Automated Program Repair Using Attention-Based Deep Neural Network. In {\it Journal of Circuits, Systems and Computers (JCSC)}, Vol 31 No. 11, July 2022. World Scientific Publishing.

Rongjie Yu, Ruici Zhang, Haoan Ai, Liqiang Wang, Zihang Zou. Personalized driving assistance algorithms: Case study of federated learning based forward collision warning. In Accident Analysis & Prevention. Volume 168, April 2022. Elsevier.

Dongdong Wang, Qingyang Liu, Dazhong Wu, Liqiang Wang. Meta domain generalization for smart manufacturing: Tool wear prediction with small data. In Journal of Manufacturing Systems. Volume 62, January 2022. Elsevier.

Jie Yao, Dongdong Wang, Hao Hu, Weiwei Xing, and Liqiang Wang. ADCNN: Towards Learning Adaptive Dilation for Convolutional Neural Networks. In Pattern Recognition. Volume 123, March 2022. Elsevier.

Weiwei Xing, Yuxiang Yang, Shunli Zhang, Qi Yu, and Liqiang Wang. NoisyOTNet: A Robust Real-Time Vehicle Tracking Model for Traffic Surveillance. In IEEE Transactions on Circuits and Systems for Video Technology. 2021. IEEE.

Jie Yao, Weiwei Xing, Dongdong Wang, Jintao Xing, Liqiang Wang. Active Dropblock: A New Method to Enhance Deep Model Accuracy and Robustness. In Neurocomputing. 2021. Elsevier.*

Yuxiang Yang, Weiwei Xing, Dongdong Wang, Shunli Zhang, Qi Yu, Liqiang Wang. AEVRNet: Adaptive Exploration Network with Variance Reduced Optimization for Visual Tracking. In Neurocomputing. Volume 449, 18 August 2021, Pages 48-60. 2021. Elsevier.

Rongjie Yu, Yiyun Wang, Zihang Zou, Liqiang Wang. Convolutional neural networks with refined loss functions for the real-time crash risk analysis. In Transportation Research Part C: Emerging Technologies.Vol 119. 2020. Elsevier.

Jun Wang, Weibin Liu, Weiwei Xing, Liqiang Wang, and Shunli Zhang. Attention Shake Siamese Network with Auxiliary Relocation Branch for Visual Object Tracking. In Neurocomputing, 2020. Elsevier.*

Hong Zhang, Hai Huang, and Liqiang Wang. Meteor: Optimizing Spark-on-Yarn for Short Applications. In Future Generation Computer Systems (FGCS), 2019. Elsevier.*

Wingyan Chung, Bingbing Rao, and Liqiang Wang. Interaction Models for Detecting Nodal Activities in Temporal Social Media Networks. In ACM Transactions on Management Information Systems* , Vol. 10, No. 4, Article 14. December 2019, ACM.

JianYing Jiao, Ye Zhang, and Liqiang Wang. A New Inverse Method for Contaminant Source Identification under unknown Solute Transport Boundary Conditions Journal of Hydrology. In Journal of Hydrology, 2019. Elsevier.

Siyang Lu, Xiang Wei, Bingbing Rao, Byungchul Tak, Long Wang, and Liqiang Wang. LADRA: Log-Based Abnormal Task Detection and Root-Cause Analysis in Big Data Processing with Spark. In Future Generation Computer Systems (FGCS), 2019. Elsevier.

Weidong Wang, Zhangqin Huang, and Liqiang Wang. ISAT: An intelligent Web service selection approach for improving reliability via two-phase decisions. In Information Sciences, Volumes 433–434, Pages 255–273, April 2018. Elsevier.

Wei Lu, Lei Chen, Liqiang Wang, Haitao Yuan, Weiwei Xing, and Yong Yang. NPIY: A Novel Partitioner for Improving MapReduce Performance. In Journal of Visual Languages and Computing,Volumes 46, 2018, Pages 1-11. Elsevier.

Lei Chen, Wei Lu, Ergude Bao, Liqiang Wang, Weiwei Xing, and Yuanyuan Cai. Naive Bayes Classifier Based Partitioner for MapReduce. In IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences* , 101(5), pp. 778-786, 2018. Japan.

Yong Yang, Wei Lu, Weiwei Xing, Liqiang Wang, Xiaoping Che, and Lei Chen. An Algorithm for Detecting and Resolving Deadlocks in Mobile Agent Systems. In Journal of Visual Languages and Computing, Volume 42, October 2017, Pages 23-30. Elsevier.

Wei Lu, Yong Yang, Liqiang Wang, Weiwei Xing, Xiaoping Che, and Lei Chen. A Fault Tolerant Election-based Deadlock Detection Algorithm in Distributed Systems. In Software Quality Journal, June 2017. Springer.

Wei Lu, Weidong Wang, Ergude Bao, Liqiang Wang, Weiwei Xing, and Yue Chen. FAQS: Fast web service composition algorithm based on QoS-aware sampling. In IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Volume E99.A (2016) Issue 4 Pages 826-834. The Institute of Electronics, Information and Communication Engineers. Japan.

Wei Lu, Yuanyuan Cai, Liqiang Wang, and Weiwei Xing. Cloud Computing Research Analysis Using A Bibliometric Method. In International Journal of Software Engineering and Knowledge Engineering, Volume 25, Issue 03, April 2015. World Scientific Publishing.

Ping Guo, Liqiang Wang. Accurate Cross-Architecture Performance Modeling for Sparse Matrix-Vector Multiplication (SpMV) on GPUs. In Concurrency and Computation: Practice and Experience. Volume 27, Issue 13, September 2015, Pages 3281–3294. Wiley Press.

Ping Guo, Liqiang Wang, and Po Chen. A Performance Modeling and Optimization Analysis Tool for Sparse Matrix-Vector Multiplication on GPUs. In IEEE Transactions on Parallel and Distributed Systems, Vol. 25, no. 5, pp. 1112-1123, May 2014. IEEE Press.

Dawei Mu, Po Chen, and Liqiang Wang, Accelerating the discontinuous Galerkin method for seismic wave propagation simulations using multiple GPUs with CUDA and MPI. In Earthquake Science, Volume 26, Issue 6, pp 377-393, December 2013. Springer.

Po Chen, En-Jui Lee, and Liqiang Wang, A cloud-based synthetic seismogram generator implemented using Windows Azure. In Earthquake Science, Volume 26, Issue 5, pp 321-329, October 2013. Springer.*

En-Jui Lee, He Huang, John M. Dennis, Po Chen and Liqiang Wang, An optimized parallel LSQR algorithm for seismic tomography. In Computers and Geosciences, Volume 61, Pages 184-197, 2013. Elsevier.

Dawei Mu, Po Chen, and Liqiang Wang. Accelerating the Discontinuous Galerkin Method for Seismic Wave Propagation Simulations Using the Graphic Processing Unit (GPU): Single-GPU Implementation. In Computers and Geosciences. Volume 51, February 2013, Pages 282-292. Elsevier.

Qichang Chen, Liqiang Wang, and Zijiang Yang. HEAT: A Combined Approach for Thread Escape Analysis . In International Journal of Systems Assurance Engineering and Management, Volume 2, Number 2, pages 135-143, 2011. Springer.

En-Jui Lee, Po Chen, Thomas Jordan, and Liqiang Wang. Rapid Centroid Moment Tensor (CMT) Inversion in a Three-Dimensional Earth Structure Model for Earthquakes in Southern California. In Geophysical Journal International, Volume 186, Issue 1, pages 311-330, July 2011. Wiley.

Dharma Teja Nukarapu, Bin Tang, Liqiang Wang, and Shiyong Lu. Data Replication in Data Intensive Scientific Applications With Performance Guarantee. In IEEE Transactions on Parallel and Distributed Systems, Volume 22, Issue 8, pages 1299 - 1306, August 2011. IEEE.

Qichang Chen, Liqiang Wang, Ping Guo, and He Huang. Analyzing Concurrent Programs for Potential Programming Errors (Book Chapter). In Modern Software Engineering Concepts and Practices. IGI Global. 2010.

Rahul Agarwal, Saddek Bensalem, Eitan Farchi, Klaus Havelund, Yarden Nir-Buchbinder, Scott D. Stoller, Shmuel Ur, and Liqiang Wang. Detection of Deadlock Potentials in Multi-Threaded Programs . In IBM Journal of Research and Development* , 54(5), September/October 2010.

Liqiang Wang, Shiyong Lu, Xubo Fei, Artem Chebotko, H. Victoria Bryant, and Jeffrey Ram. Atomicity and Provenance Support for Pipelined Scientific Workflows . In Journal of Future Generation Computer Systems. 25(5), pp.568-576.* Elsevier Science Inc., 2009.

Liqiang Wang and Scott D. Stoller. Runtime Analysis of Atomicity for Multi-threaded Programs. In IEEE Transactions on Software Engineering,* 32(2): 93-110, Feb. 2006. [BibTex]*

R.D. Cowan, Alan McKendall Jr., Ali Mili, L. Yang, L. Wang, D. Chen, V. Janardhana, T. Spencer. Software Engineering Technology Watch. Information Sciences, 140(3-4): 195-215. Elsevier Science Inc., 2002.

Conference and Workshop Publications

Dongdong Wang*, Boqing Gong, and Liqiang Wang. On Calibrating Semantic Segmentation Models: Analyses and An Algorithm. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Vancouver, Canada. 2023.

Zihang Zou*, Boqing Gong, and Liqiang Wang. Anti-Neuron Watermarking: Protecting Personal Data Against Unauthorized Neural Networks. In the 2022 European Conference on Computer Vision} (ECCV). Tel Aviv. Oct. 23-27, 2022.

Bingbing Rao*, Ehsan Kazemi*, Yifan Ding*, Devu Shila, Frank Tucker, and Liqiang Wang. CTIN: Robust Contextual Transformer Network for Inertial Navigation. In The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI). 2022.

Mohamed Elfeki*, Ali Borji, and Liqiang Wang. Multi-stream dynamic video Summarization. In 2022 IEEE Winter Conference on Applications of Computer Vision (WACV). 2022.

Muhammad Abdullah Jamal*, Liqiang Wang, and Boqing Gong. A Lazy Approach to Long-Horizon Gradient-Based Meta-Learning. In IEEE/CVF International Conference on Computer Vision (ICCV). 2021.

Bingbing Rao*, Zixia Liu*, Hong Zhang$*, Siyang Lu*, and Liqiang Wang. SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis. In IEEE International Conference on Cloud Computing (Cloud). 2021.

Yandong Li*, Xuhui Jia, Ruoxin Sang, Yukun Zhu, Bradley Green, Liqiang Wang, Boqing Gong. Ranking Neural Checkpoints. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2021.

Dongdong Wang*, Shunpu Zhang, and Liqiang Wang. Deep Epidemiological Modeling by Black-box Knowledge Distillation: An Accurate Deep Learning Model for COVID-19. In The Thirty-Fifth AAAI Conference on Artificial Intelligence ( AAAI, IAAI Track). 2021.

Yifan Ding*, Liqiang Wang, and Boqing Gong. Analyzing Deep Neural Network's Transferability via Fréchet Distance. In 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). 2021.

Li Ren, Kai Li, Liqiang Wang, Kien Hua. Beyond the Deep Metric Learning: Enhance the Cross-Modal Matching with Adversarial Discriminative Domain Regularization. In 25th International Conference on Pattern Recognition (ICPR), 2020.

Adnan Siraj Rakin, Zhezhi He, Li Yang, Yanzhi Wang, Liqiang Wang, and Deliang Fan. Robust Sparse Regularization: Defending Adversarial Attacks Via Regularized Sparse Network. In Proceedings of the 2020 on Great Lakes Symposium on VLSI, 2020.

Yandong Li*, Di Huang, Danfeng Qin, Liqiang Wang, Boqing Gong. Improving Object Detection with Selective Self-supervised Self-training. In the European Conference on Computer Vision (ECCV). SEC, Glasgow. August 23-27, 2020.

Zixia Liu*, Liqiang Wang, and Gang Quan. Deep reinforcement learning based elasticity-compatible heterogeneous resource management for time-critical computing. In International Conference on Parallel Processing. (ICPP). Edmonton, Canada, August 17-20, 2020. ACM.

Dongdong Wang*#, Yandong Li*#, Liqiang Wang, and Boqing Gong. Neural Networks Are More Data-Efficient Teachers Than Human Raters: Active Mixup for Knowledge Distillation from a Blackbox Teacher Model. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, Oral). Seattle, WA, USA. 2020. (# Equal contribution.)

Yandong Li*, Yu Cheng, Zhe Gan, Licheng Yu, Liqiang Wang, and Jingjing Liu. BachGAN: High-Resolution Image Synthesis from Salient Object Layout. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Seattle, WA, USA. 2020.

Muhammad Abdullah Jamal*, Matthew Brown, Ming-Hsuan Yang, Liqiang Wang, and Boqing Gong. Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from A Domain Adaptation Perspective. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, Oral). Seattle, WA, USA. 2020.

Yifan Ding*, Yong Xu, Shixiong Zhang, Yahuan Cong, and Liqiang Wang. Self-Supervised Learning For Audio-Visual Speaker Diarization. In The 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP). Barcelona, Spain. 2020.

Yunhui Guo, Yandong Li*, Liqiang Wang, and Tajana Rosing. AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning. In The 34th AAAI Conference on Artificial Intelligence (AAAI). New York, USA. 2020.

Yandong Li*, Lijun Li, Liqiang Wang, Tong Zhang, Boqing Gong. NATTACK: Improved Black-Box Adversarial Attack with Normal Distributions. In 36th International Conference on Machine Learning (ICML). Long Beach, CA, USA. 2019. [CODE]

Yifan Ding*, Liqiang Wang, Huan Zhang, Jinfeng Yi, Deliang Fan, and Boqing Gong. Defending Against Adversarial Attacks Using Random Forest. In The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS), Workshop of the 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . Long Beach, CA, USA. 2019.

Liheng Zhang* and Guo-Jun Qi, Liqiang Wang, Jiebo Luo. AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations rather than Data. In 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Long Beach, CA, USA. 2019.

Ehsan Kazemi* and Liqiang Wang. Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems. In The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI). Honolulu, Hawaii, USA. 2019.

Hao Hu*, Liqiang Wang, Guo-jun Qi. Learning to Adaptively Scale Recurrent Neural Networks. In The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI). Honolulu, Hawaii, USA. 2019.

Yandong Li*#, Yunhui Guo#, Liqiang Wang, and Tajana Rosing. Depthwise Convolution is All You Need for Learning Multiple Visual Domains. In The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI). Honolulu, Hawaii, USA. 2019. (# Equal contribution.)

Yifan Ding*, Chuan Wang, Haibin Huang, Jiaming Liu, Jue Wang, Liqiang Wang. Frame-Recurrent Video Inpainting by Robust Optical Flow Inference. https://arxiv.org/abs/1905.02882 , 2019.

Adnan Siraj Rakin, Zhezhi He, Li Yang, Yanzhi Wang, Liqiang Wang, Deliang Fan. Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness. https://arxiv.org/abs/1905.13074 , 2019.

Qi Yu, Xiaoping Che, Yuxiang Yang, Liqiang Wang. A Transfer Learning Based Interpretable User Experience Model on Small Samples. In IEEE 19th International Conference on Software Quality, Reliability and Security (QRS). Sofia, Bulgaria. 2019.

Zixia Liu*, Hong Zhang*, Bingbing Rao*, Liqiang Wang. A Reinforcement Learning Based Resource Management Approach for Time-critical Workloads in Distributed Computing Environment In IEEE International Conference on Big Data (IEEE BigData) . December 10-13, 2018, Seattle, WA, USA.

Ehsan Kazemi*, Liqiang Wang. A Proximal Zeroth-Order Algorithm for Nonconvex Nonsmooth Problems. In the 56th Annual Allerton Conference on Communication, Control, and Computing. UIUC. October 3-5, 2018.

Yandong Li*, Liqiang Wang, Tianbao Yang, and Boqing Gong. How Local is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization. In the European Conference on Computer Vision (ECCV) 2018. Munich, Germany. Sept. 8-14, 2018. [CODE]

Hong Zhang*, Hai Huang, and Liqiang Wang. FTSGD: An Adaptive Stochastic Gradient Descent Algorithm for Spark MLlib. In the 16th IEEE International Conference on Pervasive Intelligence and Computing (PICom). Athens, Greece. August 12-15, 2018.

Siyang Lu*, Xiang Wei*, Yandong Li*, and Liqiang Wang. Anomaly Detection from Big Data System Logs Using Convolutional Neural Network. In 2018 IEEE Cyber Science and Technology Congress (CyberSciTech). Athens, Greece. August 12-15, 2018. Best Paper Award.

Xiang Wei*#, Boqing Gong#, Zixia Liu*, Wei Lu, Liqiang Wang. Improving the Improved Training of Wasserstein GANs. In the Sixth International Conference on Learning Representations (ICLR). Vancouver, Canada. April 30-Thursday May 03, 2018. (# Equal contribution.) [CODE]

Hong Zhang*, Zixia Liu*, Liqiang Wang. Tuning Performance of Spark Programs. In Doctoral Symposium, the 2018 IEEE International Conference on Cloud Engineering (IC2E). Orlando, FL, USA. April 17-20, 2018. IEEE Press.

Yifan Ding*, Liqiang Wang, Deliang Fan, Boqing Gong. A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels. In 2018 IEEE Winter Conference on Applications of Computer Vision (WACV). Reno, Nevada, USA. March 12-14, 2018. IEEE Press. [CODE]

Bingbing Rao* and Liqiang Wang. A Survey of Semantics-Aware Performance Optimization for Data-Intensive Computing. In the the 2017 IEEE Cyber Science and Technology Congress (CyberSciTech). Orlando, FL. November 06-10, 2017. IEEE Press.

Lei Chen*, Wei Lu, Liqiang Wang, E. Bao, W. Xing, Y. Yang*, V. Yuan*. Optimizing MapReduce Partitioner Using Naive Bayes Classifier . In the the 15th International Conference on Pervasive Intelligence and Computing (PICom). Orlando, FL. November 06-10, 2017. IEEE Press.

Zixia Liu*, Hong Zhang*, and Liqiang Wang. Hierarchical Spark: A Multi-cluster Big Data Computing Framework . In the the 10th IEEE International Conference on Cloud Computing (IEEE Cloud). Honolulu, Hawaii, USA. June 25-30, 2017. IEEE Press.

Siyang Lu*, Bingbing Rao*, Xiang Wei*, Byungchul Tak, Long Wang, and Liqiang Wang. Log-based Abnormal Task Detection and Root Cause Analysis for Spark. In the the 24th IEEE International Conference on Web Services (ICWS). Honolulu, Hawaii, USA. June 25-30, 2017. IEEE Press.

Hong Zhang*, Hai Huang, and Liqiang Wang. MRapid: An Efficient Short Job Optimizer on Hadoop . In the 31st IEEE International Parallel & Distributed Processing Symposium (IPDPS). May 29 - June 2, 2017. Orlando, USA. IEEE Press.

Lei Chen*, Wei Lu, Xiaoping Che, Weiwei Xing, Liqiang Wang, and Yong Yang*. MRSIM: Mitigating Reducer Skew In MapReduce . In the the 31st International Conference on Advanced Information Networking and Applications Workshops (WAINA). 27-29 March 2017. IEEE Press.

Wingyan Chung, Bingbing Rao*, and Liqiang Wang. Dynamic Trend Detection in U.S. Border Security Social-Media Networks . In 2016 Interservice/Industry Training, Simulation and Education Conference (I/ITSEC). Orlando, FL. Nov. 28 - Dec. 2. 2016.

Wei Lu, Yong Yang*, Liqiang Wang, Weiwei Xing, and Xiaoping Chen. A Leader Election Based Deadlock Detection Algorithm in Distributed Systems. In 2016 ASE Workshop on Specification, Comprehension, Testing and Debugging of Concurrent Programs. Singapore, Singapore, 3-7 September, 2016. ACM Press.

Weidong Wang*, Liqiang Wang, Wei Lu. An Intelligent QoS Identification for Untrustworthy Web Services Via Two-phase Neural Networks. In the 23rd IEEE International Conference on Web Services (ICWS) (Research Track). July, 2016, San Francisco, USA. IEEE Press.

Hongyi Ma*, Liqiang Wang, Long Wang, Byung-Chul Tak, Chuangqiang Tang. Auto-tuning Performance of MPI Parallel Programs Using Resource Management in Container-based Virtual Cloud. In the 9th IEEE International Conference on Cloud Computing (IEEE Cloud), Research Track. July, 2016, San Francisco, USA. IEEE Press.

Zhibo Sun*, Hong Zhang*, Zixia Liu*, Chen Xu, and Liqiang Wang. Migrating GIS Big Data Computing from Hadoop to Spark: An Exemplary Study Using Twitter. In the 9th IEEE International Conference on Cloud Computing (IEEE Cloud), Research Track. July, 2016, San Francisco, USA. IEEE Press.

Yong Yang*, Wei Lu, Liqiang Wang, Weiwei Xing, and Xiaoping Chen. A Novel Concurrent Generalized Deadlock Detection Algorithm in Distributed Systems. In the 15th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2015), Nov. 2015. Zhangjiajie, China. LNCS Volume 9529, pp 479-493, Springer.

Hongyi Ma*, Liqiang Wang, and Krishanthan Krishnamoorthy*. Detecting Thread-Safety Violations in Hybrid OpenMP/MPI Programs. In the 2015 IEEE International Conference on Cluster Computing (CLUSTER), Sept. 2015. Chicago, USA. IEEE Press.

Hong Zhang*, Zhibo Sun*, Zixia Liu*, Xu Chen, and Liqiang Wang. DART: A Geographic Information System on Hadoop. In the IEEE 8th International Conference on Cloud Computing (IEEE Cloud) (Research Track). June 27-July 2, 2015, New York, USA. IEEE Press.

Weidong Wang*, Liqiang Wang, and Wei Lu. A Resilient Framework for Fault Handling in Web Service Oriented Systems. In the 22nd IEEE International Conference on Web Services (ICWS) . July, 2015, New York, USA. IEEE Press.

Hong Zhang*, Liqiang Wang, Hai Huang. SMARTH: Enabling Multi-Pipeline Data Transfer in HDFS . In the 43nd International Conference on Parallel Processing (ICPP). September 9-12, 2014. Minneapolis, USA. IEEE Press.

Hongyi Ma*, Steve R. Diersen, Liqiang Wang, Chunhua Liao, Daniel Quinlan, and Zijiang Yang. Symbolic Analysis of Concurrency Errors in OpenMP Programs. In the 42nd International Conference on Parallel Processing (ICPP). October 1-4, 2013, Lyon, France. IEEE Press.

He Huang*, Liqiang Wang, Byung Chul Tak, Long Wang, and Chunqiang Tang. CAP3: A Cloud Auto-Provisioning Framework for Parallel Processing Using On-demand and Spot Instances. In the IEEE 6th International Conference on Cloud Computing (IEEE Cloud) (Research Track). June 27-July 2, 2013, Santa Clara, CA, USA. IEEE Press.

He Huang*, John M. Dennis, Liqiang Wang, and Po Chen. A Scalable Parallel LSQR Algorithm for Solving Large-Scale Linear System for Tomographic Problems: A Case Study in Seismic Tomography. In the 2013 International Conference on Computational Science (ICCS) (main track). Procedia Computer Science, Elsevier, 2013.

Weidong Wang*, Wei Lu, Liqiang Wang, Weiwei Xing, Zhao Li. A Ranking-based Approach for Service Composition with Multiple QoS Constraints . In 2012 International Conference on Information Technology and Software Engineering . Beijing China. Lecture Notes in Electrical Engineering, Springer-Verlag, 2012.

Hongyi Ma*, Qichang Chen*, Liqiang Wang, Chunhua Liao, and Daniel Quinlan. Analyzing OpenMP programs for Concurrency Errors . In the 41st International Conference on Parallel Processing (ICPP) . Pittsburgh, PA. Poster Paper. IEEE Press, 2012.

Ping Guo*, Liqiang Wang. Accurate CUDA Performance Modeling for Sparse Matrix-Vector Multiplication . In the 2012 International Conference on High Performance Computing & Simulation (HPCS). Madrid, Spain. IEEE Press, 2012. Honorable mention for best paper candidate.

He Huang*, Liqiang Wang, En-Jui Lee, and Po Chen. An MPI-CUDA Implementation and Optimization for Parallel Sparse Equations and Least Squares (LSQR). In the 2012 International Conference on Computational Science (ICCS) (main track). Procedia Computer Science, Elsevier, 2012.

Qichang Chen*, Liqiang Wang, and Zijiang Yang. SAM: Self-adaptive Dynamic Analysis for Multithreaded Programs. In Haifa Verification Conference (HVC) 2011. Haifa, Israel. Dec. 2011. Springer-Verlag.

Ping Guo*, He Huang*, Qichang Chen*, Liqiang Wang, En-Jui Lee, and Po Chen. A Model-Driven Partitioning and Auto-tuning Integrated Framework for Sparse Matrix-Vector Multiplication on GPUs. In the 2011 TeraGrid Conference. Salt Lake City, UT. ACM Press, 2011.

Vedaprakash Subramanian*, Hongyi Ma*, Liqiang Wang, En-Jui Lee, and Po Chen. Rapid 3D Seismic Source Inversion using Windows Azure and Amazon EC2. In the 2nd IEEE Cloud Forum for Practitioners (ICFP 2011). Washington DC. IEEE Press, 2011.

Steve Diersen*, En-Jui Lee, Diana Spears, Po Chen, and Liqiang Wang. Classification of Seismic Windows Using Artificial Neural Networks . In the 2011 International Conference on Computational Science (ICCS). Procedia Computer Science, Elsevier, 2011.

Vedaprakash Subramanian*, Liqiang Wang, En-Jui Lee, and Po Chen. Rapid Processing of Synthetic Seismograms Using Windows Azure Cloud . In the 2nd IEEE International Conference on Cloud Computing Technology and Science (CloudCom). Indianapolis, Indiana. IEEE Press, 2010.

Ping Guo* and Liqiang Wang. Auto-Tuning CUDA Parameters for Sparse Matrix-Vector Multiplication on GPUs . In The 2010 International Conference on Computational and Information Sciences. Chengdu, China. IEEE Press, 2010.

Mohamed Elwakil, Zijiang Yang, Liqiang Wang, and Qichang Chen*. Message Race Detection for Web Services by an SMT-Based Analysis. In The 7th International Conference on Autonomic and Trusted Computing (ATC) . LNCS, Springer-Verlag. 2010.

Mohamed Elwakil, Zijiang Yang, and Liqiang Wang. CRI: Symbolic Debugger for MCAPI Applications. In The 8th International Symposium on Automated Technology for Verification and Analysis (ATVA). Singapore. LNCS, Springer-Verlag. 2010.

He Huang*, Liqiang Wang. P&P: a Combined Push-Pull Model for Resource Monitoring in Cloud Computing Environment. In The 3rd International Conference on Cloud Computing (IEEE CLOUD). Miami, Florida. IEEE Press, 2010.

Qichang Chen*, Liqiang Wang. An Integrated Framework for Checking Concurrency-related Programming Errors. In the 33rd Annual IEEE International Computer Software and Applications Conference (COMPSAC), Doctoral Symposium. Seattle, Washington. IEEE Press, 2009.

Qichang Chen*, Liqiang Wang, Zijiang Yang. HEAT: An Integrated Static and Dynamic Approach for Thread Escape Analysis. In the 33rd Annual IEEE International Computer Software and Applications Conference (COMPSAC). Seattle, Washington. IEEE Press, 2009.

Qichang Chen*, Liqiang Wang, Zijiang Yang, and Scott D. Stoller. HAVE: Integrated Dynamic and Static Analysis for Atomicity Violations. In Proceedings of International Conference on Fundamental Approaches to Software Engineering (FASE), European Joint Conferences on Theory and Practice of Software (ETAPS). York, UK. Springer-Verlag, 2009.

Qichang Chen*, Liqiang Wang, Zongbo Shang. MRGIS: A MapReduce-Enabled High PerformanceWorkflow System for GIS. In the 3rd International Workshop on Scientific Workflows and Business Workflow Standards in e-Science (SWBES). Indianapolis, USA. IEEE Press, 2008.

Zongmin Shang, Haiyang Wang, and Liqiang Wang. Running Smart Process Based on Goals. In the 12th International Conference on Computer Supported Cooperative Work in Design (CSCWD) . IEEE Press, 2008.

Liqiang Wang, Shiyong Lu, Xubo Fei, and Jeffrey Ram. A Dataflow-Oriented Atomicity and Provenance System for Pipelined Scientific Workflows. In the 2007 International Conference on Computational Science (ICCS). Springer-Verlag, 2007. [BibTex].

Liqiang Wang and Scott D. Stoller. Accurate and Efficient Runtime Detection of Atomicity Errors in Concurrent Programs. In proceedings of the ACM SIGPLAN 2006 Symposium on Principles and Practice of Parallel Programming (PPoPP). ACM Press, 2006. [BibTex]. An extended version appeared as Technical Report DAR-05-26, Sept. 2005 [PDF].

Rahul Agarwal, Liqiang Wang, and Scott D. Stoller. Detecting Potential Deadlocks with Static Analysis and Runtime Monitoring. In Proceedings of the Parallel and Distributed Systems: Testing and Debugging (PADTAD) Track of the 2005 IBM Verification Conference. Springer-Verlag, 2005. Best Paper Award. [BibTex]

Rahul Agarwal, Amit Sasturkar, Liqiang Wang, and Scott D. Stoller. Optimized Run-Time Race Detection And Atomicity Checking Using Partial Discovered Types. In Proceedings of the 20th IEEE/ACM International Conference on Automated Software Engineering (ASE) . ACM Press, 2005. [Bibex]

Liqiang Wang and Scott D. Stoller. Static Analysis of Atomicity for Programs with Non-Blocking Synchronization. In Proceedings of the ACM SIGPLAN 2005 Symposium on Principles and Practice of Parallel Programming (PPoPP). ACM Press, 2005. [BibTex]. An extended version appeared as Technical Report DAR-04-17, Oct. 2004 (revised Jan. 2005) [PDF].

Amit Sasturkar, Rahul Agarwal, Liqiang Wang and Scott D. Stoller. Automated Type-Based Analysis of Data Races and Atomicity. In Proceedings of the ACM SIGPLAN 2005 Symposium on Principles and Practice of Parallel Programming (PPoPP). ACM Press, 2005. [BibTex]

Liqiang Wang and Scott D. Stoller. Run-Time Analysis for Atomicity. In Proceedings of the Third Workshop on Runtime Verification (RV03), volume 89(2) of Electronic Notes in Theoretical Computer Science. Elsevier, 2003. [BibTex]

Technical Magazine Articles

Vedaprakash Subramanian*, Hongyi Ma*, Liqiang Wang, En-Jui Lee, and Po Chen. Azure Use Case Highlights Challenges for HPC Applications in the Cloud In HPC in the Cloud, feature article. February 21, 2011.

Publications in Chinese

Liqiang Wang and Changjie Tang. Web Mining Based on Temporal Database System. Symposium of the 14th National Database Conference of China, 1997. Best Student Paper Award.

Wei Lu and Liqiang Wang. Query Optimization for a Commercial Database. Journal of Sichuan University, Jan. 1997.

Wei Lu and Liqiang Wang. Visualization of Data Queries. Computer Engineering and Applications, May 1997.

Liqiang Wang and Changjie Tang. Data Mining on Web, Computer Applications, Oct. 1998.

The authors marked with * are Dr. Wang's students.

Ph.D. Thesis

Liqiang Wang. Analysis of Synchronization Errors for Multithreaded Programs. Stony Brook University, NY, July 2006. [BibTex]. Advisor: Scott D. Stoller

Google Scholar: Please visit https://scholar.google.com/citations?user=mZKxB10AAAAJ&hl=en for the complete list of publications. Note that this list is not frequently updated.

Journal Publications

Conference and Workshop Publications

Technical Magazine Articles

Vedaprakash Subramanian*, Hongyi Ma*, Liqiang Wang, En-Jui Lee, and Po Chen. Azure Use Case Highlights Challenges for HPC Applications in the Cloud In HPC in the Cloud, feature article. February 21, 2011.

Publications in Chinese

Vedaprakash Subramanian, Hongyi Ma, Liqiang Wang, En-Jui Lee, and Po Chen. Azure Use Case Highlights Challenges for HPC Applications in the Cloud In HPC in the Cloud, feature article. February 21, 2011.