Mingsheng Shang

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 108

Top Venues

Neurocomputing

ICNSC

CoRR

IEEE Trans. Ind. Informatics

Publications

Mei Liu, Mingsheng Shang
Orientation Tracking Incorporated Multicriteria Control for Redundant Manipulators With Dynamic Neural Network. IEEE Trans. Ind. Electron. 71 (4) (2024)
Ying Liufu, Long Jin, Mingsheng Shang, Xingxia Wang, Fei-Yue Wang
ACP-Incorporated Perturbation-Resistant Neural Dynamics Controller for Autonomous Vehicles. IEEE Trans. Intell. Veh. 9 (4) (2024)
Tao Tan, Hong Xie, Yunni Xia, Xiaoyu Shi, Mingsheng Shang
Asynchronous SGD with stale gradient dynamic adjustment for deep learning training. Inf. Sci. 681 (2024)
Bo Peng, Kefan Zhang, Long Jin, Mingsheng Shang
A Transfer-Learning-Like Neural Dynamics Algorithm for Arctic Sea Ice Extraction. Neural Process. Lett. 56 (4) (2024)
Xiaoyu Shi, Quanliang Liu, Hong Xie, Di Wu, Bo Peng, Mingsheng Shang, Defu Lian
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach. ACM Trans. Inf. Syst. 42 (2) (2024)
Mei Liu, Fan Zhang, Li He, Mingsheng Shang
Dynamic Neural Network for Motion/Force Control of Manipulators With Polynomial Noises. IEEE Trans. Ind. Electron. 71 (10) (2024)
Mei Liu, Kun Liu, Puchen Zhu, G. Q. (Kouchi) Zhang, Xin Ma, Mingsheng Shang
Data-Driven Remote Center of Cyclic Motion (RC$^{2}$M) Control for Redundant Robots With Rod-Shaped End-Effector. IEEE Trans. Ind. Informatics 20 (4) (2024)
Xiaoyu Shi, Quanliang Liu, Hong Xie, Yanan Bai, Mingsheng Shang
Maximum Entropy Policy for Long-Term Fairness in Interactive Recommender Systems. IEEE Trans. Serv. Comput. 17 (3) (2024)
Mei Liu, Xiufang Chen, Mingsheng Shang, Hongwei Li
A Pseudoinversion-Free Method for Weight Updating in Broad Learning System. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Wei Cui, Xuerui Zhang, Mingsheng Shang
Multi-modality frequency-aware cross attention network for fake news detection. J. Intell. Fuzzy Syst. 46 (1) (2024)
Dexiu Ma, Mei Liu, Mingsheng Shang
Neural dynamics solver for time-dependent infinity-norm optimization based on ACP framework with robot application. Neurocomputing 567 (2024)
Hong Xie, Mingze Zhong, Xiaoyu Shi, Xiaoying Zhang, Jiang Zhong, Mingsheng Shang
Probabilistic Modeling of Assimilate-Contrast Effects in Online Rating Systems. IEEE Trans. Knowl. Data Eng. 36 (2) (2024)
Jiawang Tan, Mingsheng Shang, Long Jin
Metaheuristic-Based RNN for Manipulability Optimization of Redundant Manipulators. IEEE Trans. Ind. Informatics 20 (4) (2024)
Haoran Gu, Yunni Xia, Hong Xie, Xiaoyu Shi, Mingsheng Shang
Robust and efficient algorithms for conversational contextual bandit. Inf. Sci. 657 (2024)
Yutong Chen, Hongzuo Xu, Guansong Pang, Hezhe Qiao, Yuan Zhou, Mingsheng Shang
Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection. CoRR (2024)
Long Jin, Longqi Liu, Xingxia Wang, Mingsheng Shang, Fei-Yue Wang
Physical-Informed Neural Network for MPC-Based Trajectory Tracking of Vehicles With Noise Considered. IEEE Trans. Intell. Veh. 9 (3) (2024)
Di Wu, Bo Sun, Mingsheng Shang
Hyperparameter Learning for Deep Learning-Based Recommender Systems. IEEE Trans. Serv. Comput. 16 (4) (2023)
Jinyu Mo, Hong Xie, Xiaoyu Shi, Mingsheng Shang
CGCCMR: An Enhanced Multi-gate Model for Cross-Market Recommendation. IJCNN (2023)
Mei Liu, Liangming Chen, Xiaohao Du, Long Jin, Mingsheng Shang
Activated Gradients for Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Mei Liu, Ying Liufu, Huiyan Lu, Mingsheng Shang
Neural Solution to Dynamic Overdetermined System With Applications to Data Fitting and Parameters Estimation. IEEE Trans. Syst. Man Cybern. Syst. 53 (12) (2023)
Xiaoyu Shi, Quanliang Liu, Hong Xie, Mingsheng Shang
Towards Long-term Fairness in Interactive Recommendation: A Maximum Entropy Reinforcement Learning Approach. ICWS (2023)
Ye Yuan, Xin Luo, Mingsheng Shang, Zidong Wang
A Kalman-Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data. IEEE Trans. Cybern. 53 (9) (2023)
Kexiang Zeng, Xiaoyu Shi, Hong Xie, Mingsheng Shang
Contrastive Learning based Item Representation with Asymmetric Augmentation for Sequential Recommendation. ADMIT (2023)
Xiaoyu Xu, Xiaoyu Shi, Mingsheng Shang
Graph neural networks via contrast between separation and aggregation for self and neighborhood. Expert Syst. Appl. 224 (2023)
Bingchao Wang, Xiaoyu Shi, Mingsheng Shang
A Self-decoupled Interpretable Prediction Framework for Highly-Variable Cloud Workloads. DASFAA (1) (2023)
Bo Peng, Xuerui Zhang, Mingsheng Shang
A Novel Competition-Based Coordination Model with Dynamic Feedback for Multi-Robot Systems. IEEE CAA J. Autom. Sinica 10 (10) (2023)
Mei Liu, Li He, Mingsheng Shang
Dynamic Neural Network for Bicriteria Weighted Control of Robot Manipulators. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Mei Liu, Huanmei Wu, Mingsheng Shang
A noise-suppressing discrete-time neural dynamics model for solving time-dependent multi-linear M-tensor equation. Neurocomputing 520 (2023)
Liangming Chen, Long Jin, Mingsheng Shang
Zero Stability Well Predicts Performance of Convolutional Neural Networks. AAAI (2022)
Di Wu, Qiang He, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang
A Posterior-Neighborhood-Regularized Latent Factor Model for Highly Accurate Web Service QoS Prediction. IEEE Trans. Serv. Comput. 15 (2) (2022)
Meijun Luo, Lin Chen, Yunni Xia, Mingsheng Shang
Attention Auxiliary Spatial Fusion for Pedestrian Attribute Recognition. SMC (2022)
Hao Liu, Hezhe Qiao, Xiaoyu Shi, Mingsheng Shang
Aspect-aware Asymmetric Representation Learning Network for Review-based Recommendation. IJCNN (2022)
Ye Yuan, Qiang He, Xin Luo, Mingsheng Shang
A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices. IEEE Trans. Big Data 8 (3) (2022)
Mei Liu, Jiazheng Zhang, Mingsheng Shang
Real-time cooperative kinematic control for multiple robots in distributed scenarios with dynamic neural networks. Neurocomputing 491 (2022)
Xiaoyu Xu, Di Wu, Mingsheng Shang
A structure-characteristic-aware network embedding model via differential evolution. Expert Syst. Appl. 204 (2022)
Qing Li, Guansong Pang, Mingsheng Shang
An efficient annealing-assisted differential evolution for multi-parameter adaptive latent factor analysis. J. Big Data 9 (1) (2022)
Mei Liu, Xiaoyan Zhang, Mingsheng Shang, Long Jin
Gradient-Based Differential $k\text{WTA}$ Network With Application to Competitive Coordination of Multiple Robots. IEEE CAA J. Autom. Sinica 9 (8) (2022)
Xiaoyu Xu, Guansong Pang, Di Wu, Mingsheng Shang
Joint hyperbolic and Euclidean geometry contrastive graph neural networks. Inf. Sci. 609 (2022)
Xiaoyu Shi, Qiang He, Xin Luo, Yanan Bai, Mingsheng Shang
Large-Scale and Scalable Latent Factor Analysis via Distributed Alternative Stochastic Gradient Descent for Recommender Systems. IEEE Trans. Big Data 8 (2) (2022)
Mei Liu, Xiaoyan Zhang, Mingsheng Shang
Computational Neural Dynamics Model for Time-Variant Constrained Nonlinear Optimization Applied to Winner-Take-All Operation. IEEE Trans. Ind. Informatics 18 (9) (2022)
Zihui Zhao, Xiaoyu Shi, Mingsheng Shang
Performance and Cost-Aware Task Scheduling via Deep Reinforcement Learning in Cloud Environment. ICSOC (2022)
Mei Liu, Mingsheng Shang
On RNN-Based $k$-WTA Models With Time-Dependent Inputs. IEEE CAA J. Autom. Sinica 9 (11) (2022)
Di Wu, Mingsheng Shang, Xin Luo, Zidong Wang
-Norm-Oriented Latent Factor Model for Recommender Systems. IEEE Trans. Neural Networks Learn. Syst. 33 (10) (2022)
Liangming Chen, Long Jin, Mingsheng Shang
Zero Stability Well Predicts Performance of Convolutional Neural Networks. CoRR (2022)
Mingsheng Shang, Ye Yuan, Xin Luo, MengChu Zhou
An α-β-Divergence-Generalized Recommender for Highly Accurate Predictions of Missing User Preferences. IEEE Trans. Cybern. 52 (8) (2022)
Qing Li, Diwen Xiong, Mingsheng Shang
Adjusted stochastic gradient descent for latent factor analysis. Inf. Sci. 588 (2022)
Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, Xindong Wu
A Data-Characteristic-Aware Latent Factor Model for Web Services QoS Prediction. IEEE Trans. Knowl. Data Eng. 34 (6) (2022)
Long Jin, Yimeng Qi, Xin Luo, Shuai Li, Mingsheng Shang
Distributed Competition of Multi-Robot Coordination Under Variable and Switching Topologies. IEEE Trans Autom. Sci. Eng. 19 (4) (2022)
Yurong Zhong, Long Jin, Mingsheng Shang, Xin Luo
Momentum-Incorporated Symmetric Non-Negative Latent Factor Models. IEEE Trans. Big Data 8 (4) (2022)
Bo Sun, Di Wu, Mingsheng Shang, Yi He
Toward Auto-Learning Hyperparameters for Deep Learning-Based Recommender Systems. DASFAA (2) (2022)
Qing Li, Mingsheng Shang
BALFA: A brain storm optimization-based adaptive latent factor analysis model. Inf. Sci. 578 (2021)
Mei Liu, Liangming Chen, Xiaohao Du, Long Jin, Mingsheng Shang
Activated Gradients for Deep Neural Networks. CoRR (2021)
Zhiting Wang, Guiyuan Shi, Mingsheng Shang, Yuxia Zhang
The Stock Market Model with Delayed Information Impact from a Socioeconomic View. Entropy 23 (7) (2021)
Jiabao Zhong, Hezhe Qiao, Lin Chen, Mingsheng Shang, Qun Liu
Improving Pedestrian Attribute Recognition with Multi-Scale Spatial Calibration. IJCNN (2021)
Diwen Xiong, Mingsheng Shang
RoboNet: a Neural Network Based Kinematic Parameter Identification Model. ICNSC (2021)
Bo Peng, Long Jin, Mingsheng Shang
-WTA neural network with one single neuron. Neurocomputing 460 (2021)
Lin Chen, Saijun Gong, Xiaoyu Shi, Mingsheng Shang
Dynamical Conventional Neural Network Channel Pruning by Genetic Wavelet Channel Search for Image Classification. Frontiers Comput. Neurosci. 15 (2021)
Xin Luo, Zhigang Liu, Shuai Li, Mingsheng Shang, Zidong Wang
A Fast Non-Negative Latent Factor Model Based on Generalized Momentum Method. IEEE Trans. Syst. Man Cybern. Syst. 51 (1) (2021)
Leming Zhou, Qing Li, Mingsheng Shang
Chronic Disease Detection Via Non-negative Latent Feature Analysis. ICNSC (2021)
Xin Luo, Mengchu Zhou, Shuai Li, Di Wu, Zhigang Liu, Mingsheng Shang
Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems. IEEE Trans. Big Data 7 (1) (2021)
Xin Luo, Zhigang Liu, Mingsheng Shang, Jungang Lou, MengChu Zhou
Highly-Accurate Community Detection via Pointwise Mutual Information-Incorporated Symmetric Non-Negative Matrix Factorization. IEEE Trans. Netw. Sci. Eng. 8 (1) (2021)
Xin Luo, Ye Yuan, MengChu Zhou, Zhigang Liu, Mingsheng Shang
Non-Negative Latent Factor Model Based on β-Divergence for Recommender Systems. IEEE Trans. Syst. Man Cybern. Syst. 51 (8) (2021)
Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, MengChu Zhou
A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems. IEEE Trans. Syst. Man Cybern. Syst. 51 (7) (2021)
Xin Luo, Zidong Wang, Mingsheng Shang
An Instance-Frequency-Weighted Regularization Scheme for Non-Negative Latent Factor Analysis on High-Dimensional and Sparse Data. IEEE Trans. Syst. Man Cybern. Syst. 51 (6) (2021)
Tao Wang, Xiaoyu Shi, Mingsheng Shang
Diversity-Aware Top-N Recommendation: A Deep Reinforcement Learning Way. Big Data (CCF) (2020)
Ye Yuan, Mingsheng Shang, Xin Luo
Temporal Web Service QoS Prediction via Kalman Filter-Incorporated Latent Factor Analysis. ECAI (2020)
Khushnood Abbas, Alireza Abbasi, Dong Shi, Niu Ling, Mingsheng Shang, Chen Liong, Bolun Chen
TempNodeEmb: Temporal Node Embedding considering temporal edge influence matrix. CoRR (2020)
Chonghao Zhao, Xiaoyu Shi, Mingsheng Shang, Yiqiu Fang
A Clustering-Based Collaborative Filtering Recommendation Algorithm via Deep Learning User Side Information. WISE (2) (2020)
Ye Yuan, Xin Luo, Mingsheng Shang, Di Wu
A Generalized and Fast-converging Non-negative Latent Factor Model for Predicting User Preferences in Recommender Systems. WWW (2020)
Xin Luo, Mengchu Zhou, Shuai Li, Lun Hu, Mingsheng Shang
Non-Negativity Constrained Missing Data Estimation for High-Dimensional and Sparse Matrices from Industrial Applications. IEEE Trans. Cybern. 50 (5) (2020)
Qing Li, Mingsheng Shang
A Compressed Sensing and Porous 9-7 Wavelet Transform-based Image Fusion Algorithm. SMC (2020)
Di Wu, Yi He, Xin Luo, Mingsheng Shang, Xindong Wu
Online Feature Selection with Capricious Streaming Features: A General Framework. IEEE BigData (2019)
Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, Xindong Wu
A Data-Aware Latent Factor Model for Web Service QoS Prediction. PAKDD (1) (2019)
Mengzhen Luo, Xiaoyu Shi, Qianqian Ji, Mingsheng Shang, Xianbo He, Weiguo Tao
A Deep Self-learning Classification Framework for Incomplete Medical Patents with Multi-label. ICNC-FSKD (2019)
Yuanxin Lv, Xiaoyu Shi, Longyu Ran, Mingsheng Shang
Random Forest-Based Ensemble Estimator for Concrete Compressive Strength Prediction via AdaBoost Method. ICNC-FSKD (2019)
Qianqian Ji, Xiaoyu Shi, Mingsheng Shang
A Deep Temporal Collaborative Filtering Recommendation Framework via Joint Learning from Long and Short-Term Effects. ISPA/BDCloud/SocialCom/SustainCom (2019)
Mingsheng Shang, Xin Luo, Zhigang Liu, Jia Chen, Ye Yuan, MengChu Zhou
Randomized latent factor model for high-dimensional and sparse matrices from industrial applications. IEEE CAA J. Autom. Sinica 6 (1) (2019)
Longyu Ran, Xiaoyu Shi, Mingsheng Shang
SLAs-Aware Online Task Scheduling Based on Deep Reinforcement Learning Method in Cloud Environment. HPCC/SmartCity/DSS (2019)
Qingxian Wang, Binbin Peng, Xiaoyu Shi, Tianqi Shang, Mingsheng Shang
DCCR: Deep Collaborative Conjunctive Recommender for Rating Prediction. IEEE Access 7 (2019)
Jiajia Jiang, Yunni Xia, Mingsheng Shang
A Fast Autoencoder-based Recommender. SMC (2019)
Qingxian Wang, Minzhi Chen, Mingsheng Shang, Xin Luo
A momentum-incorporated latent factorization of tensors model for temporal-aware QoS missing data prediction. Neurocomputing 367 (2019)
Zhigang Liu, Xin Luo, Shuai Li, Mingsheng Shang
Accelerated Non-negative Latent Factor Analysis on High-Dimensional and Sparse Matrices via Generalized Momentum Method. SMC (2018)
Di Wu, Mingsheng Shang, Xin Luo, Ji Xu, Huyong Yan, Weihui Deng, Guoyin Wang
Self-training semi-supervised classification based on density peaks of data. Neurocomputing 275 (2018)
Xin Luo, MengChu Zhou, Shuai Li, Mingsheng Shang
An Inherently Nonnegative Latent Factor Model for High-Dimensional and Sparse Matrices from Industrial Applications. IEEE Trans. Ind. Informatics 14 (5) (2018)
Qing-Xian Wang, Xin Luo, Yan Li, Xiao-Yu Shi, Liang Gu, Mingsheng Shang
Incremental Slope-one recommenders. Neurocomputing 272 (2018)
Ye Yuan, Xin Luo, Mingsheng Shang
Effects of preprocessing and training biases in latent factor models for recommender systems. Neurocomputing 275 (2018)
Di Wu, Xin Luo, Guoyin Wang, Mingsheng Shang, Ye Yuan, Huyong Yan
A Highly Accurate Framework for Self-Labeled Semisupervised Classification in Industrial Applications. IEEE Trans. Ind. Informatics 14 (3) (2018)
Di Wu, Mingsheng Shang, Guoyin Wang, Li Li
A self-training semi-supervised classification algorithm based on density peaks of data and differential evolution. ICNSC (2018)
Wenhong Tian, Majun He, Wenxia Guo, Wenqiang Huang, Xiaoyu Shi, Mingsheng Shang, Adel Nadjaran Toosi, Rajkumar Buyya
On minimizing total energy consumption in the scheduling of virtual machine reservations. J. Netw. Comput. Appl. 113 (2018)
Xiaoyu Shi, Mingsheng Shang, Wenhong Tian, Abbas Khushnood, Shuai Wang, Tianshu Wu
Autonomic performance management of cloud server based on adaptive control method. ICNSC (2018)
Xin Luo, Mingsheng Shang
Symmetric Non-negative Latent Factor Models for Undirected Large Networks. IJCAI (2017)
Long Jin, Shuai Li, Xin Luo, Mingsheng Shang
Nonlinearly-activated noise-tolerant zeroing neural network for distributed motion planning of multiple robot arms. IJCNN (2017)
Ye Yuan, Xin Luo, Mingsheng Shang, Xin-Yi Cai
Effect of linear biases in latent factor models on high-dimensional and sparse matrices from recommender systems. ICNSC (2017)
Xiao-Yu Shi, Xin Luo, Mingsheng Shang, Xin-Yi Cai
Empirical analysis of collaborative filtering-based recommenders in temporally evolving systems. ICNSC (2017)
Li-Yuan Xue, Rong-Qiang Zeng, Wei An, Qing-Xian Wang, Mingsheng Shang
Experiments on Neighborhood Combination Strategies for Bi-objective Unconstrained Binary Quadratic Programming Problem. PAAP (2017)
Xin Luo, Jianpei Sun, Zidong Wang, Shuai Li, Mingsheng Shang
Symmetric and Nonnegative Latent Factor Models for Undirected, High-Dimensional, and Sparse Networks in Industrial Applications. IEEE Trans. Ind. Informatics 13 (6) (2017)
Yinyan Zhang, Shuai Li, Xin Luo, Mingsheng Shang
A dynamic neural controller for adaptive optimal control of permanent magnet DC motors. IJCNN (2017)
Jia Chen, Xin Luo, Ye Yuan, Mingsheng Shang, Zhong Ming, Zhang Xiong
Performance of latent factor models with extended linear biases. Knowl. Based Syst. 123 (2017)
Xiaoyu Shi, Xin Luo, Mingsheng Shang, Liang Gu
Long-term performance of collaborative filtering based recommenders in temporally evolving systems. Neurocomputing 267 (2017)
Li-Yuan Xue, Rong-Qiang Zeng, Yang Wang, Mingsheng Shang
Solving Bi-objective Unconstrained Binary Quadratic Programming Problem with Multi-objective Backbone Guided Search Algorithm. ICIC (2) (2016)

Mingsheng Shang

Publication Activity (10 Years)

Top Topics

Top Venues