V. Sheng

发表

Get another label? improving data quality and data mining using multiple, noisy labelers

Panagiotis G. Ipeirotis, Victor S. Sheng, Foster J. Provost, 2008, KDD.

Repeated labeling using multiple noisy labelers

Panagiotis G. Ipeirotis, Victor S. Sheng, Foster J. Provost, 2012, Data Mining and Knowledge Discovery.

Incremental Support Vector Learning for Ordinal Regression

Bin Gu, Victor S. Sheng, Shuo Li, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Chunk incremental learning for cost-sensitive hinge loss support vector machine

Bin Gu, Victor S. Sheng, Guansheng Zheng, 2018, Pattern Recognit..

Feasibility and Finite Convergence Analysis for Accurate On-Line $\nu$-Support Vector Machine

Bin Gu, Victor S. Sheng, V. Sheng, 2013, IEEE Transactions on Neural Networks and Learning Systems.

Example Labeling Difficulty within Repeated Labeling

V. Sheng, 2011 .

An abnormal network flow feature sequence prediction approach for DDoS attacks detection in big data environment

V. Sheng, Renjie Cheng, Ruomeng Xu, 2018 .

An Empirical Study of Class Noise Impacts on Supervised Learning Algorithms and Measures

V. Sheng, R. Tada, Abhinav Atla, 2022 .

Immune Centroids OverSampling Method for Multi-Class Classification

V. Sheng, Zhiming Cui, Jian Wu, 2016 .

Click-Through Rate (CTR)

Jean-Michel Renders, João Gama, Eamonn J. Keogh, 2010, Encyclopedia of Machine Learning and Data Mining.

Classification Tree

John Case, Sanjay Jain, Jean-Michel Renders, 2010, Encyclopedia of Machine Learning.

Cost-Sensitive Learning

Victor S. Sheng, Charles X. Ling, V. Sheng, 2009, Encyclopedia of Data Warehousing and Mining.

Complex Adaptive System

John Case, Jean-Michel Renders, Eamonn J. Keogh, 2010, Encyclopedia of Machine Learning.

A DDoS Attack Situation Assessment Method via Optimized Cloud Model Based on Influence Function

V. Sheng, Xiangyan Tang, Qidong Zheng, 2019, Computers, Materials & Continua.

Cost-Sensitive Learning

Victor S. Sheng, Charles X. Ling, V. Sheng, 2009, Encyclopedia of Data Warehousing and Mining.

Class Imbalance Problem

Victor S. Sheng, Charles X. Ling, V. Sheng, 2010, Encyclopedia of Machine Learning.

Class Imbalance Problem

Victor S. Sheng, Charles X. Ling, V. Sheng, 2010, Encyclopedia of Machine Learning.

Cost-Sensitive Learning

Victor S. Sheng, Charles X. Ling, V. Sheng, 2009, Encyclopedia of Data Warehousing and Mining.

Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation

V. Sheng, Guanfeng Liu, Lei Zhao, 2022, ArXiv.

Cost-Sensitive Learning

V. Sheng, C. Ling, 2009, Encyclopedia of Data Warehousing and Mining.

Managing Uncertainty in Crowdsourcing with Interval-Valued Labels

Victor S. Sheng, Xintao Wu, Chenyi Hu, 2021, NAFIPS.

Certainty Equivalence Principle

Jean-Michel Renders, João Gama, Lise Getoor, 2010, Encyclopedia of Machine Learning and Data Mining.

Contrastive Learning with Bidirectional Transformers for Sequential Recommendation

Victor S. Sheng, V. Sheng, Guanfeng Liu, 2022, CIKM.

Learning from crowds with active learning and self-healing

V. Sheng, Zhenyu Shu, Jingjing Li, 2018, Neural Computing and Applications.

An optimal model with a lower bound of recall for imbalanced speech emotion recognition

V. Sheng, C. Ling, Xusheng Ai, 2020, Multimedia Tools and Applications.

Quaternion-Based Graph Contrastive Learning for Recommendation

V. Sheng, Guanfeng Liu, Yanchi Liu, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Photo2Trip: Exploiting Visual Contents in Geo-Tagged Photos for Personalized Tour Recommendation

Yanchi Liu, Pengpeng Zhao, Victor S. Sheng, 2017, IEEE Transactions on Knowledge and Data Engineering.

A Generative Model Approach for Geo-Social Group Recommendation

V. Sheng, Lei Zhao, Zhixu Li, 2018, Journal of Computer Science and Technology.

Exploiting Hierarchical Structures for POI Recommendation

Hui Xiong, Yanchi Liu, Pengpeng Zhao, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Deep Web Entity Identification Method with Unique Constraint

Pengpeng Zhao, Victor S. Sheng, Zhaobin Liu, 2018 .

Location-Aware Service Recommendations With Privacy-Preservation in the Internet of Things

Xuyun Zhang, Victor S. Sheng, Surya Nepal, 2020, IEEE Transactions on Computational Social Systems.

Labelling Training Samples Using Crowdsourcing Annotation for Recommendation

Tao Tao, Victor S. Sheng, Min Zhang, 2020, Complex..

Immune Centroids Oversampling Method for Binary Classification

Pengpeng Zhao, Victor S. Sheng, Zhiming Cui, 2015, Comput. Intell. Neurosci..

Loss Functions of Generative Adversarial Networks (GANs): Opportunities and Challenges

Jianjun Lei, Haoran Xie, Victor S. Sheng, 2020, IEEE Transactions on Emerging Topics in Computational Intelligence.

Imbalanced Multiple Noisy Labeling

Xindong Wu, Victor S. Sheng, Jing Zhang, 2015, IEEE Transactions on Knowledge and Data Engineering.

Multi-Label Active Learning Algorithms for Image Classification

Jian Wu, Pengpeng Zhao, Victor S. Sheng, 2020, ACM Comput. Surv..

Active learning with label correlation exploration for multi-label image classification

Pengpeng Zhao, Victor S. Sheng, Zhiming Cui, 2017, IET Comput. Vis..

Graph Contextualized Self-Attention Network for Session-based Recommendation

Yanchi Liu, Pengpeng Zhao, Jiajie Xu, 2019, IJCAI.

Integrating Active Learning with Supervision for Crowdsourcing Generalization

Yang Zhang, Victor S. Sheng, Jing Zhang, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Learning from the Crowd with Neural Network

Jingjing Li, Victor S. Sheng, Zhenyu Shu, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Cost-Sensitive Learning and the Class Imbalance Problem

Victor S. Sheng, Charles X. Ling, V. Sheng, 2008 .

Learning from crowdsourced labeled data: a survey

Xindong Wu, Victor S. Sheng, Jing Zhang, 2016, Artificial Intelligence Review.

Class Imbalance Problem

V. Sheng, C. Ling, Victor S. Sheng, 2010, Encyclopedia of Machine Learning.

CGCI-SIFT: A More Efficient and Compact Representation of Local Descriptor

Victor S. Sheng, Zhiming Cui, Shengrong Gong, 2013 .

Liver CT sequence segmentation based with improved U-Net and graph cut

Victor S. Sheng, Zhe Liu, Rui Jiang, 2019, Expert Syst. Appl..

A Unified Perspective for Disinformation Detection and Truth Discovery in Social Sensing: A Survey

V. Sheng, Mingwen Wang, Fan Xu, 2021, ACM Comput. Surv..

A Robust Regularization Path Algorithm for $\nu $ -Support Vector Classification

Bin Gu, Victor S. Sheng, V. Sheng, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Improving Heterogeneous Network Knowledge Transfer Based on the Principle of Generative Adversarial

Victor S. Sheng, Jieren Cheng, Xiangyan Tang, 2021, Electronics.

Broaden the minority class space for decision tree induction using antigen-derived detectors

Victor S. Sheng, Zhiming Cui, Jian Wu, 2017, Knowl. Based Syst..

Variational Self-attention Network for Sequential Recommendation

Yanchi Liu, Pengpeng Zhao, Victor S. Sheng, 2021, 2021 IEEE 37th International Conference on Data Engineering (ICDE).

Roulette Sampling for Cost-Sensitive Learning

Victor S. Sheng, Charles X. Ling, V. Sheng, 2007, ECML.

Collaborative Self-Attention Network for Session-based Recommendation

Deqing Wang, Yanchi Liu, Pengpeng Zhao, 2020, IJCAI.

Structural Minimax Probability Machine

Xingming Sun, Bin Gu, Victor S. Sheng, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Incremental learning for ν-Support Vector Regression

Bin Gu, Victor S. Sheng, Shuo Li, 2015, Neural Networks.

Cooperative Coevolution

Charles X. Ling, T. Shultz, A. Mueen, 2010, Encyclopedia of Machine Learning and Data Mining.

Continual Learning

Charles X. Ling, T. Shultz, A. Mueen, 2010, Encyclopedia of Machine Learning.

Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions

Victor S. Sheng, Jing Zhang, V. Sheng, 2019, AAAI.

Improving Crowdsourced Label Quality Using Noise Correction

Xindong Wu, Tao Li, Victor S. Sheng, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Label noise correction and application in crowdsourcing

Victor S. Sheng, Jing Zhang, Bryce Nicholson, 2016, Expert Syst. Appl..

Noise filtering to improve data and model quality for crowdsourcing

Victor S. Sheng, Hongwei Li, Liangxiao Jiang, 2016, Knowl. Based Syst..

Noise correction of image labeling in crowdsourcing

Victor S. Sheng, Jing Zhang, Bryce Nicholson, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Label noise correction methods

Victor S. Sheng, Jing Zhang, Zhiheng Wang, 2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Improving Label Quality in Crowdsourcing Using Noise Correction

Xindong Wu, Victor S. Sheng, Jing Zhang, 2015, CIKM.

CEKA: a tool for mining the wisdom of crowds

Xindong Wu, Victor S. Sheng, Jing Zhang, 2015, J. Mach. Learn. Res..

Crowdsourced Label Aggregation Using Bilayer Collaborative Clustering

Jian Wu, Jing Zhang, Victor S Sheng, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Label Aggregation for Crowdsourcing with Bi-Layer Clustering

Tao Li, Victor S. Sheng, Jing Zhang, 2017, SIGIR.

Multi-Class Ground Truth Inference in Crowdsourcing with Clustering

Xindong Wu, Victor S. Sheng, Jing Zhang, 2016, IEEE Transactions on Knowledge and Data Engineering.

Long- and short-term self-attention network for sequential recommendation

Yanchi Liu, Victor S. Sheng, Deqing Wang, 2021, Neurocomputing.

Feature-level Deeper Self-Attention Network for Sequential Recommendation

Deqing Wang, Tingting Zhang, Yanchi Liu, 2019, IJCAI.

RPCV: Recommend Potential Customers to Vendors in Location-Based Social Network

Pengpeng Zhao, Victor S. Sheng, Zhiming Cui, 2015, WAIM.

Semi-Supervised Multi-Label Learning from Crowds via Deep Sequential Generative Model

Victor S. Sheng, Bin Gu, Wanli Shi, 2020, KDD.

Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation

Fuzhen Zhuang, Yanchi Liu, Jiajie Xu, 2019, AAAI.

Cascade U-ResNets for Simultaneous Liver and Lesion Segmentation

Victor S. Sheng, Lei Wang, Baochuan Fu, 2020, IEEE Access.

A hybrid intelligent data classification algorithm

Xuesong Yan, Victor S. Sheng, Wenjing Luo, 2013, Int. J. Wirel. Mob. Comput..

Machine Learning for Wireless Multimedia Data Security

Naixue Xiong, Victor S. Sheng, Ching-Nung Yang, 2019, Secur. Commun. Networks.

Multi-label active learning for image classification

Pengpeng Zhao, Victor S. Sheng, Zhiming Cui, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Exploiting Visual Contents in Posters and Still Frames for Movie Recommendation

Yanchi Liu, Pengpeng Zhao, Jiajie Xu, 2018, IEEE Access.

Bi-Parameter Space Partition for Cost-Sensitive SVM

Bin Gu, Victor S. Sheng, Shuo Li, 2015, IJCAI.

Survey on the Application of Deep Learning in Extreme Weather Prediction

Liang Shen, Victor S. Sheng, Wei Fang, 2021, Atmosphere.

Majority Voting and Pairing with Multiple Noisy Labeling

Xindong Wu, Bin Gu, Jing Zhang, 2019, IEEE Transactions on Knowledge and Data Engineering.

Ensemble Learning from Crowds

Victor S. Sheng, Jing Zhang, Ming Wu, 2019, IEEE Transactions on Knowledge and Data Engineering.

A Hybrid Deep Network Framework for Android Malware Detection

Victor S. Sheng, Liangmin Wang, Huijuan Zhu, 2022, IEEE Transactions on Knowledge and Data Engineering.

Thresholding for Making Classifiers Cost-sensitive

Victor S. Sheng, Charles X. Ling, V. Sheng, 2006, AAAI.

Exploring Methods of Assessing Influence Relevance of News Articles

Victor S. Sheng, Zhaobin Liu, Qingren Wang, 2018, ICCCS.

MeteCloud: Meteorological Cloud Computing Platform for Mobile Weather Forecasts based on Energy-aware Scheduling

Victor S. Sheng, Wei Fang, XueZhi Wen, 2018 .

Document-specific keyphrase candidate search and ranking

Xindong Wu, Victor S. Sheng, Qingren Wang, 2018, Expert Syst. Appl..

Keyphrase Extraction Using Sequential Pattern Mining and Entropy

Chenyi Hu, Victor S. Sheng, Qingren Wang, 2017, 2017 IEEE International Conference on Big Knowledge (ICBK).

Data-driven pollution source location algorithm in water quality monitoring sensor networks

Xuesong Yan, Victor S. Sheng, Chengyu Hu, 2020, Int. J. Bio Inspired Comput..

Cost-sensitive learning for defect escalation

Bin Gu, Victor S. Sheng, Jian Wu, 2014, Knowl. Based Syst..

Test strategies for cost-sensitive decision trees

Qiang Yang, Victor S. Sheng, Charles X. Ling, 2006, IEEE Transactions on Knowledge and Data Engineering.

Multilevel Identification and Classification Analysis of Tor on Mobile and PC Platforms

Victor S. Sheng, Liangmin Wang, Hantao Mei, 2021, IEEE Transactions on Industrial Informatics.

Multiclass imbalanced learning with one-versus-one decomposition and spectral clustering

Victor S. Sheng, Qianmu Li, Yanjun Song, 2020, Expert Syst. Appl..

Feature value acquisition in testing: a sequential batch test algorithm

Victor S. Sheng, Charles X. Ling, V. Sheng, 2006, ICML.

Fog-enabled Event Processing Based on IoT Resource Models

Yang Zhang, Victor S. Sheng, V. Sheng, 2019, IEEE Transactions on Knowledge and Data Engineering.

Where to Go Next: A Spatio-temporal LSTM model for Next POI Recommendation pdf

Yanchi Liu, Pengpeng Zhao, Jiajie Xu, 2018, ArXiv.

Photo2Trip: Exploiting Visual Contents in Geo-Tagged Photos for Personalized Tour Recommendation

Hui Xiong, Yanchi Liu, Pengpeng Zhao, 2017, IEEE Transactions on Knowledge and Data Engineering.

Near real-time topic-driven rumor detection in source microblogs

Victor S. Sheng, Fan Xu, Mingwen Wang, 2020, Knowl. Based Syst..

Adaptive DDoS Attack Detection Method Based on Multiple-Kernel Learning

Jieren Cheng, Chen Zhang, Xiangyan Tang, 2018, Secur. Commun. Networks.

Crowdmeta: Crowdsourcing truth inference with meta-Knowledge transfer

V. Sheng, Sunyue Xu, Jing Zhang, 2023, Pattern Recognit..

Adaptive robust local online density estimation for streaming data

Wei Fan, Zhide Fang, Andrea Edwards, 2021, International Journal of Machine Learning and Cybernetics.

A Comparative Study of SIFT and its Variants

Pengpeng Zhao, Victor S. Sheng, Zhiming Cui, 2013 .

Coarse to Fine: Multi-label Image Classification with Global/Local Attention

Victor S. Sheng, Zhengtian Wu, Baochuan Fu, 2018, 2018 IEEE International Smart Cities Conference (ISC2).

A threshold method for Imbalanced Multiple Noisy Labeling

Xindong Wu, Victor S. Sheng, Jing Zhang, 2013, 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013).

Imbalanced Multiple Noisy Labeling for Supervised Learning

Xindong Wu, Victor S. Sheng, Jing Zhang, 2013, AAAI.

Recurrent Convolutional Neural Network for Sequential Recommendation

Hui Xiong, Yanchi Liu, Pengpeng Zhao, 2019, WWW.

Meteorological Data Analysis Using MapReduce

Wei Fang, Wubin Pan, XueZhi Wen, 2014, TheScientificWorldJournal.

Interaction Graph Neural Network for News Recommendation

Pengpeng Zhao, Junhua Fang, Victor S. Sheng, 2019, WISE.

Deep Cross Networks with Aesthetic Preference for Cross-domain Recommendation pdf

Hui Xiong, Yanchi Liu, Pengpeng Zhao, 2019, ArXiv.

Adaptive Low-Rank Multi-Label Active Learning for Image Classification

Hua Li, Pengpeng Zhao, Victor S. Sheng, 2017, ACM Multimedia.

Multi-Label Active Learning with Chi-Square Statistics for Image Classification

Pengpeng Zhao, Victor S. Sheng, Zhiming Cui, 2015, ICMR.

Multi-label active learning with label correlation for image classification

Pengpeng Zhao, Victor S. Sheng, Zhiming Cui, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

A Survey of Deep Learning for Electronic Health Records

V. Sheng, Jieming Ma, Zhiming Cui, 2022, Applied Sciences.

Consensus algorithms for biased labeling in crowdsourcing

Victor S. Sheng, Jian Wu, Qianmu Li, 2017, Inf. Sci..

Randomly Wired Graph Neural Network for Chinese NER

V. Sheng, Zhiming Cui, Xuefeng Xi, 2023, Expert Syst. Appl..

Multi-dimensional Graph Neural Network for Sequential Recommendation

V. Sheng, Guanfeng Liu, Lei Zhao, 2023, Pattern Recognition.

Collaborative Self-Attention Network for Session-based Recommendation

V. Sheng, Fuzhen Zhuang, Yanchi Liu, 2020, IJCAI.

Tell Me Where to Go Next: Improving POI Recommendation via Conversation

Fuzhen Zhuang, Yanchi Liu, Pengpeng Zhao, 2021, DASFAA.

MGSAN: A Multi-granularity Self-attention Network for Next POI Recommendation

Yanchi Liu, Victor S. Sheng, Xuefeng Xian, 2021, WISE.

SCENT: A new precipitation nowcasting method based on sparse correspondence and deep neural network

Victor S. Sheng, Yewen Ding, Feihong Zhang, 2021, Neurocomputing.

A review of Chinese named entity recognition

Victor S. Sheng, Jieren Cheng, Jingxin Liu, 2021, KSII Trans. Internet Inf. Syst..

Click is Not Equal to Purchase: Multi-task Reinforcement Learning for Multi-behavior Recommendation

V. Sheng, Zhiming Cui, Xuefeng Xian, 2022, WISE.

Exploiting Aesthetic Preference in Deep Cross Networks for Cross-domain Recommendation

Jian Liu, Xiaofang Zhou, Yanchi Liu, 2020, WWW.

Sensitivity of different machine learning algorithms to noise

Victor S. Sheng, Rahul Tada, Abhinav Atla, 2011 .

DOG: A new background removal for object recognition from images

Victor S. Sheng, Wei Fang, Yewen Ding, 2019, Neurocomputing.

A convolutional neural network-based linguistic steganalysis for synonym substitution steganography.

Victor S. Sheng, Peng Yang, Lingyun Xiang, 2019, Mathematical biosciences and engineering : MBE.

Cross Validation Through Two-Dimensional Solution Surface for Cost-Sensitive SVM

Bin Gu, Victor S. Sheng, Shuo Li, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Fast Data Acquisition in Cost-Sensitive Learning

Victor S. Sheng, V. Sheng, 2011, ICDM.

Weak-Labeled Active Learning With Conditional Label Dependence for Multilabel Image Classification

Pengpeng Zhao, Victor S. Sheng, Zhiming Cui, 2017, IEEE Transactions on Multimedia.

A Novel DDoS Attack Detection Method Using Optimized Generalized Multiple Kernel Learning pdf

Victor S. Sheng, Xiangyan Tang, Chen Zhang, 2019, Computers, Materials & Continua.

Quaternion-based graph convolution network for recommendation

Victor S. Sheng, V. Sheng, Guanfeng Liu, 2021, World Wide Web.

Cost-Sensitive Extremely Randomized Trees Algorithm for Online Fault Detection of Wind Turbine Generators

V. Sheng, Mingzhu Tang, Wen Long, 2021, Frontiers in Energy Research.

An Empirical Comparison on Multi-Target Regression Learning

Victor S. Sheng, V. Sheng, 2018 .

Overview of RGBD semantic segmentation based on deep learning

V. Sheng, Zhiming Cui, Huan Rong, 2022, Journal of Ambient Intelligence and Humanized Computing.

A Double Weighted Naive Bayes with Niching Cultural Algorithm for Multi-Label Classification

Xuesong Yan, Victor S. Sheng, Qinghua Wu, 2016, Int. J. Pattern Recognit. Artif. Intell..

A Double Weighted Naive Bayes for Multi-label Classification

Wei Li, Xuesong Yan, Victor S. Sheng, 2015, ISICA.

Stratification-Based Outlier Detection over the Deep Web

Pengpeng Zhao, Victor S. Sheng, Zhiming Cui, 2016, Comput. Intell. Neurosci..

Interactive Learning with Proactive Cognition Enhancement for Crowd Workers

Victor S. Sheng, Shunmei Meng, Jing Zhang, 2020, AAAI.

Simple Test Strategies for Cost-Sensitive Decision Trees

Qiang Yang, Charles X. Ling, Shengli Sheng, 2005, ECML.

Immune Centroids Oversampling Method for Binary Classification

V. Sheng, Zhiming Cui, Jian Wu, 2015, Comput. Intell. Neurosci..

Immune Centroids Over-Sampling Method for Multi-Class Classification

Yufeng Yao, Pengpeng Zhao, Victor S. Sheng, 2015, PAKDD.

A Roadmap to Domain Knowledge Integration in Machine Learning

Victor S. Sheng, Himel Das Gupta, V. Sheng, 2020, 2020 IEEE International Conference on Knowledge Graph (ICKG).

A novel privacy-preserving speech recognition framework using bidirectional LSTM

Victor S. Sheng, Qingren Wang, Hong Zhong, 2020, Journal of Cloud Computing.

Ensemble Learning With Attention-Integrated Convolutional Recurrent Neural Network for Imbalanced Speech Emotion Recognition

Victor S. Sheng, Charles X. Ling, Xusheng Ai, 2020, IEEE Access.

Sparse regression with output correlation for cardiac ejection fraction estimation

Victor S. Sheng, Yuhui Zheng, Shuo Li, 2018, Inf. Sci..

Bipartite network embedding with Symmetric Neighborhood Convolution

V. Sheng, Qianmu Li, Jing Zhang, 2022, Expert Syst. Appl..

Maximum profit mining and its application in software development

Victor S. Sheng, Charles X. Ling, Nazim H. Madhavji, 2006, KDD '06.