CAP3: A Cloud Auto-Provisioning Framework for Parallel Processing Using On-Demand and Spot Instances. - He Huang; Liqiang Wang 001; Byung-Chul Tak; Long Wang 003; Chunqiang Tang (IEEE CLOUD, 2013)

SMARTH: Enabling Multi-pipeline Data Transfer in HDFS. - Hong Zhang 047; Liqiang Wang 001; Hai Huang 002 (ICPP, 2014)

Dart: A Geographic Information System on Hadoop. - Hong Zhang 047; Zhibo Sun; Zixia Liu; Chen Xu; Liqiang Wang 001 (CLOUD, 2015)

A Novel Concurrent Generalized Deadlock Detection Algorithm in Distributed Systems. - Wei Lu 010; Yong Yang 007; Liqiang Wang 001; Weiwei Xing; Xiaoping Che (ICA3PP (2), 2015)

A Resilient Framework for Fault Handling in Web Service Oriented Systems. - Weidong Wang; Liqiang Wang 001; Wei Lu 010 (ICWS, 2015)

HBTM: A Heartbeat-based Behavior Detection Mechanism for POSIX Threads and OpenMP Applications. - Weidong Wang; Chunhua Liao; Liqiang Wang 001; Daniel J. Quinlan; Wei Lu 010 (CoRR, 2015)

Cloud Computing Research Analysis Using Bibliometric Method. - Yuanyuan Cai; Wei Lu 010; Liqiang Wang 001; Weiwei Xing (Int. J. Softw. Eng. Knowl. Eng., 2015)

Auto-tuning Performance of MPI Parallel Programs Using Resource Management in Container-Based Virtual Cloud. - Hongyi Ma; Liqiang Wang 001; Byung-Chul Tak; Long Wang 003; Chunqiang Tang (CLOUD, 2016)

Migrating GIS Big Data Computing from Hadoop to Spark: An Exemplary Study Using Twitter. - Zhibo Sun; Hong Zhang 047; Zixia Liu; Chen Xu; Liqiang Wang 001 (CLOUD, 2016)

A Novel Priority-based Deadlock Detection and Resolution Algorithm in Mobile Agent Systems. - Yong Yang 007; Weiwei Xing; Liqiang Wang 001; Xiaoping Che; Wei Lu 010 (DMS, 2016)

An Intelligent QoS Identification for Untrustworthy Web Services via Two-Phase Neural Networks. - Weidong Wang; Liqiang Wang 001; Wei Lu 010 (ICWS, 2016)

A leader election based deadlock detection algorithm in distributed systems. - Wei Lu 010; Yong Yang 007; Liqiang Wang 001; Weiwei Xing; Xiaoping Che (SCTDCP@ASE, 2016)

FAQS: Fast Web Service Composition Algorithm Based on QoS-Aware Sampling. - Wei Lu 010; Weidong Wang; Ergude Bao; Liqiang Wang 001; Weiwei Xing; Yue Chen (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016)

Hierarchical Spark: A Multi-Cluster Big Data Computing Framework. - Zixia Liu; Hong Zhang 047; Liqiang Wang 001 (CLOUD, 2017)

MRSIM: Mitigating Reducer Skew In MapReduce. - Lei Chen 047; Wei Lu 010; Xiaoping Che; Weiwei Xing; Liqiang Wang 001; Yong Yang 007 (AINA Workshops, 2017)

Optimizing MapReduce Partitioner Using Naive Bayes Classifier. - Lei Chen 047; Wei Lu 010; Liqiang Wang 001; Ergude Bao; Weiwei Xing; Yong Yang 007; Victor Yuan (DASC/PiCom/DataCom/CyberSciTech, 2017)

A Survey of Semantics-Aware Performance Optimization for Data-Intensive Computing. - BingBing Rao; Liqiang Wang 001 (DASC/PiCom/DataCom/CyberSciTech, 2017)

Improving MapReduce Performance By Using A New Partitioner In YARN. - Lei Chen 047; Haitao Yuan 001; Weiwei Xing; Liqiang Wang 001; Yong Yang 007; Wei Lu 010 (DMSVLSS, 2017)

Log-based Abnormal Task Detection and Root Cause Analysis for Spark. - Siyang Lu; BingBing Rao; Xiang Wei 007; Byung-Chul Tak; Long Wang 003; Liqiang Wang 001 (ICWS, 2017)

MRapid: An Efficient Short Job Optimizer on Hadoop. - Hong Zhang 047; Hai Huang 002; Liqiang Wang 001 (IPDPS, 2017)

Detecting and resolving deadlocks in mobile agent systems. - Yong Yang 007; Wei Lu 010; Weiwei Xing; Liqiang Wang 001; Xiaoping Che; Lei Chen 047 (J. Vis. Lang. Comput., 2017)

A Proximal Zeroth-Order Algorithm for Nonconvex Nonsmooth Problems. - Ehsan Kazemi 003; Liqiang Wang 001 (Allerton, 2018)

A Reinforcement Learning Based Resource Management Approach for Time-critical Workloads in Distributed Computing Environment. - Zixia Liu; Hong Zhang 047; BingBing Rao; Liqiang Wang 001 (IEEE BigData, 2018)

Detecting Anomaly in Big Data System Logs Using Convolutional Neural Network. - Siyang Lu; Xiang Wei 007; Yandong Li; Liqiang Wang 001 (DASC/PiCom/DataCom/CyberSciTech, 2018)

FTSGD: An Adaptive Stochastic Gradient Descent Algorithm for Spark MLlib. - Hong Zhang 047; Zixia Liu; Hai Huang 002; Liqiang Wang 001 (DASC/PiCom/DataCom/CyberSciTech, 2018)

How Local Is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization. - Yandong Li; Liqiang Wang 001; Tianbao Yang; Boqing Gong (ECCV (8), 2018)

Tuning Performance of Spark Programs. - Hong Zhang 047; Zixia Liu; Liqiang Wang 001 (IC2E, 2018)

Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect. - Xiang Wei 007; Boqing Gong; Zixia Liu; Wei Lu 010; Liqiang Wang 001 (ICLR (Poster), 2018)

A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels. - Yifan Ding; Liqiang Wang 001; Deliang Fan; Boqing Gong (WACV, 2018)

Naive Bayes Classifier Based Partitioner for MapReduce. - Lei Chen 047; Wei Lu 010; Ergude Bao; Liqiang Wang 001; Weiwei Xing; Yuanyuan Cai (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018)

A fault tolerant election-based deadlock detection algorithm in distributed systems. - Wei Lu 010; Yong Yang 007; Liqiang Wang 001; Weiwei Xing; Xiaoping Che; Lei Chen 047 (Softw. Qual. J., 2018)

NPIY : A novel partitioner for improving mapreduce performance. - Wei Lu 010; Lei Chen 047; Liqiang Wang 001; Haitao Yuan 001; Weiwei Xing; Yong Yang 007 (J. Vis. Lang. Comput., 2018)

Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems. - Ehsan Kazemi 003; Liqiang Wang 001 (AAAI, 2019)

Depthwise Convolution Is All You Need for Learning Multiple Visual Domains. - Yunhui Guo; Yandong Li; Liqiang Wang 001; Tajana Rosing (AAAI, 2019)

Defending Against Adversarial Attacks Using Random Forest. - Yifan Ding; Liqiang Wang 001; Huan Zhang 001; Jinfeng Yi; Deliang Fan; Boqing Gong (CVPR Workshops, 2019)

NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks. - Yandong Li; Lijun Li; Liqiang Wang 001; Tong Zhang 001; Boqing Gong (ICML, 2019)

Depthwise Convolution is All You Need for Learning Multiple Visual Domains. - Yunhui Guo; Yandong Li; Rogério Schmidt Feris; Liqiang Wang 001; Tajana Rosing (CoRR, 2019)

Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness. - Adnan Siraj Rakin; Zhezhi He; Li Yang 009; Yanzhi Wang; Liqiang Wang 001; Deliang Fan (CoRR, 2019)

Defending Against Adversarial Attacks Using Random Forests. - Yifan Ding; Liqiang Wang 001; Huan Zhang 001; Jinfeng Yi; Deliang Fan; Boqing Gong (CoRR, 2019)

LADRA: Log-based abnormal task detection and root-cause analysis in big data processing with Spark. - Siyang Lu; Xiang Wei 007; Bingbing Rao; Byung-Chul Tak; Long Wang 003; Liqiang Wang 001 (Future Gener. Comput. Syst., 2019)

Meteor: Optimizing spark-on-yarn for short applications. - Hong Zhang 047; Hai Huang 002; Liqiang Wang 001 (Future Gener. Comput. Syst., 2019)

Interaction Models for Detecting Nodal Activities in Temporal Social Media Networks. - Wingyan Chung; Bingbing Rao; Liqiang Wang 001 (ACM Trans. Manag. Inf. Syst., 2019)

AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning. - Yunhui Guo; Yandong Li; Liqiang Wang 001; Tajana Rosing (AAAI, 2020)

Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective. - Muhammad Abdullah Jamal; Matthew Brown 001; Ming-Hsuan Yang 001; Liqiang Wang 001; Boqing Gong (CVPR, 2020)

BachGAN: High-Resolution Image Synthesis From Salient Object Layout. - Yandong Li; Yu Cheng 001; Zhe Gan; Licheng Yu; Liqiang Wang 001; Jingjing Liu 001 (CVPR, 2020)

Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation From a Blackbox Model. - Dongdong Wang; Yandong Li; Liqiang Wang 001; Boqing Gong (CVPR, 2020)

Improving Object Detection with Selective Self-supervised Self-training. - Yandong Li; Di Huang; Danfeng Qin; Liqiang Wang 001; Boqing Gong (ECCV (29), 2020)

Robust Sparse Regularization: Defending Adversarial Attacks Via Regularized Sparse Network. - Adnan Siraj Rakin; Zhezhi He; Li Yang 009; Yanzhi Wang; Liqiang Wang 001; Deliang Fan (ACM Great Lakes Symposium on VLSI, 2020)

Trace-Norm Adversarial Examples. - Ehsan Kazemi 003; Thomas Kerdreux; Liqiang Wang 001 (CoRR, 2020)

Attention shake siamese network with auxiliary relocation branch for visual object tracking. - Jun Wang 114; Weibin Liu; Weiwei Xing; Liqiang Wang 001; Shunli Zhang (Neurocomputing, 2020)

SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis. - Bingbing Rao; Zixia Liu; Hong Zhang 047; Siyang Lu; Liqiang Wang 001 (CLOUD, 2021)

Ranking Neural Checkpoints. - Yandong Li; Xuhui Jia; Ruoxin Sang; Yukun Zhu; Bradley Green; Liqiang Wang 001; Boqing Gong (CVPR, 2021)

A Lazy Approach to Long-Horizon Gradient-Based Meta-Learning. - Muhammad Abdullah Jamal; Liqiang Wang 001; Boqing Gong (ICCV, 2021)

Analyzing Deep Neural Network's Transferability via Fréchet Distance. - Yifan Ding; Liqiang Wang 001; Boqing Gong (WACV, 2021)

Anti-Neuron Watermarking: Protecting Personal Data Against Unauthorized Neural Model Training. - Zihang Zou; Boqing Gong; Liqiang Wang 001 (CoRR, 2021)

AEVRNet: Adaptive exploration network with variance reduced optimization for visual tracking. - Yuxiang Yang 002; Weiwei Xing; Dongdong Wang; Shunli Zhang; Qi Yu; Liqiang Wang 001 (Neurocomputing, 2021)

Active dropblock: Method to enhance deep model accuracy and robustness. - Jie Yao; Weiwei Xing; Dongdong Wang; Jintao Xing; Liqiang Wang 001 (Neurocomputing, 2021)

CTIN: Robust Contextual Transformer Network for Inertial Navigation. - Bingbing Rao; Ehsan Kazemi 003; Yifan Ding; Devu M. Shila; Frank M. Tucker; Liqiang Wang 001 (AAAI, 2022)

Anti-Neuron Watermarking: Protecting Personal Data Against Unauthorized Neural Networks. - Zihang Zou; Boqing Gong; Liqiang Wang 001 (ECCV (13), 2022)

APR-ES: Adaptive Penalty-Reward Based Evolution Strategy for Deep Reinforcement Learning. - Dongdong Wang; Siyang Lu; Xiang Wei 007; Mingquan Wang; Yandong Li; Liqiang Wang 001 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

On Calibrating Semantic Segmentation Models: Analysis and An Algorithm. - Dongdong Wang; Boqing Gong; Liqiang Wang 001 (CoRR, 2022)

Bug-Transformer: Automated Program Repair Using Attention-Based Deep Neural Network. - Jie Yao; Bingbing Rao; Weiwei Xing; Liqiang Wang 001 (J. Circuits Syst. Comput., 2022)

ADCNN: Towards learning adaptive dilation for convolutional neural networks. - Jie Yao; Dongdong Wang; Hao Hu; Weiwei Xing; Liqiang Wang 001 (Pattern Recognit., 2022)

NoisyOTNet: A Robust Real-Time Vehicle Tracking Model for Traffic Surveillance. - Weiwei Xing; Yuxiang Yang 002; Shunli Zhang; Qi Yu; Liqiang Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

On Calibrating Semantic Segmentation Models: Analyses and An Algorithm. - Dongdong Wang; Boqing Gong; Liqiang Wang 001 (CVPR, 2023)

SIGMA: A Dataset for Text-to-Code Semantic Parsing with Statistical Analysis. - Saleh Almohaimeed; Shenyang Liu; May Alsofyani; Saad Almohaimeed; Liqiang Wang 001 (ICMLA, 2023)

Ensemble Distillation for Out-of-distribution Detection. - Dongdong Wang; Jingyao Xu 001; Siyang Lu; Xiang Wei 007; Liqiang Wang 001 (ICPADS, 2023)

Multi-modal Domain Adaptation for REG via Relation Transfer. - Yifan Ding; Liqiang Wang 001; Boqing Gong (CoRR, 2023)

Minimally Distorted Structured Adversarial Attacks. - Ehsan Kazemi 003; Thomas Kerdreux; Liqiang Wang 001 (Int. J. Comput. Vis., 2023)

Black-box attacks against log anomaly detection with adversarial examples. - Siyang Lu; Mingquan Wang; Dongdong Wang; Xiang Wei 007; Sizhe Xiao; Zhiwei Wang; Ningning Han; Liqiang Wang 001 (Inf. Sci., 2023)

Contrastive JS: A Novel Scheme for Enhancing the Accuracy and Robustness of Deep Models. - Weiwei Xing; Jie Yao; Zixia Liu; Weibin Liu; Shunli Zhang; Liqiang Wang 001 (IEEE Trans. Multim., 2023)

Anthropomorphic diagnosis of runtime hidden behaviors in OpenMP multi-threaded applications. - Weidong Wang; Dian Li; Wangda Luo; Yujian Kang; Liqiang Wang 001 (J. Parallel Distributed Comput., 2023)

A Multimodel Edge Computing Offloading Framework for Deep-Learning Application Based on Bayesian Optimization. - Zidi Zhao; Hong Zhang 047; Liqiang Wang 001; Haijun Huang (IEEE Internet Things J., 2023)

On complementing unsupervised learning with uncertainty quantification. - Ehsan Kazemi 003; Fariborz Taherkhani; Liqiang Wang 001 (Pattern Recognit. Lett., 2023)

GAT-SQL: An Advanced Prompt Engineering Approach for Effective Text-to-SQL Interactions. - Saleh Almohaimeed; Saad Almohaimeed; Liqiang Wang 001 (CEC, 2024)

REFORMER: A ChatGPT-Driven Data Synthesis Framework Elevating Text-to-SQL Models. - Shenyang Liu; Saleh Almohaimeed; Liqiang Wang 001 (ICMLA, 2024)

Detecting Data Races in OpenMP with Deep Learning and Large Language Models. - May Alsofyani; Liqiang Wang 001 (ICPP Workshops, 2024)

Democratic Learning: A Distributed Machine Learning Framework with Collaborative Voting and Model Pruning for Privacy and Security. - Mingyang Lv; Hong Zhang 047; Miao Wang; Liqiang Wang 001; Peng Wu (IJCNN, 2024)

Community-aware graph debiased contrastive representation learning. - Peng Wu; Hong Zhang 047; Miao Wang; Liqiang Wang 001; Meng Wang; Mingyang Lv (IJCNN, 2024)

Ar-Spider: Text-to-SQL in Arabic. - Saleh Almohaimeed; Saad Almohaimeed; Mansour Al Ghanim; Liqiang Wang 001 (SAC, 2024)

Efficient zeroth-order proximal stochastic method for nonconvex nonsmooth black-box problems. - Ehsan Kazemi 003; Liqiang Wang 001 (Mach. Learn., 2024)

An Unsupervised Gradient-Based Approach for Real-Time Log Analysis From Distributed Systems. - Minquan Wang; Siyang Lu; Sizhe Xiao; Dongdong Wang; Wei Xiang 007; Ningning Han; Liqiang Wang 001 (Int. J. Cooperative Inf. Syst., 2024)

Enhanced RIS-assisted vehicular network with TDMA and Bayesian Compressive Sensing-based channel estimation. - Xiaoliang Zhang; Miao Wang; Mengxiong Wang; Liqiang Wang 001; Hong Zhang 047 (Comput. Networks, 2025)

Onboard Edge Computing: Optimizing Resource Allocation and Offloading in Mobile Scenarios. - Zijian Chen; Hong Zhang 047; Miao Wang; Liqiang Wang 001; Lei Zhang (IEEE Internet Things J., 2025)

Optimizing vehicle edge computing task offloading at intersections: a fuzzy decision-making approach. - Lei Zhang; Miao Wang; Liqiang Wang 001; Zijian Chen; Hong Zhang 047 (J. Supercomput., 2025)

An Efficient Privacy-Enhanced Federated Learning With Single-Key Homomorphic Encryption. - Yilong Liu; Hong Zhang 047; Miao Wang; Qiqi Xie; Liqiang Wang 001 (IEEE Internet Things J., 2025)