Personal Recommendation Based on Weighted Bipartite Networks. - Jie Liu; Mingsheng Shang 001; Duanbing Chen (FSKD (5), 2009)

Collaborative filtering based on multi-channel diffusion - Ming-Sheng Shang 001; Ci-Hang Jin; Tao Zhou 001; Yi-Cheng Zhang (CoRR, 2009)

Collaborative filtering with diffusion-based similarity on tripartite graphs - Ming-Sheng Shang 001; Zi-Ke Zhang; Tao Zhou 001; Yi-Cheng Zhang (CoRR, 2009)

Empirical analysis of web-based user-object bipartite networks - Ming-Sheng Shang 001; Linyuan Lu; Yi-Cheng Zhang; Tao Zhou 001 (CoRR, 2009)

An Evaluation of Structure Based Similarity Indexes for Collaborative Filtering. - Yong Chen; Mingsheng Shang 001 (WKDD, 2010)

User-Based Collaborative-Filtering Recommendation Algorithms on Hadoop. - Zhi-Dan Zhao; Mingsheng Shang 001 (WKDD, 2010)

An efficient heuristic algorithm for arbitrary shaped rectilinear block packing problem. - Duanbing Chen; Jingfa Liu; Yan Fu; Mingsheng Shang 001 (Comput. Oper. Res., 2010)

A Hybrid Decision Approach to Detect Profile Injection Attacks in Collaborative Recommender Systems. - Sheng Huang; Mingsheng Shang 001; Shimin Cai (ISMIS, 2012)

Variability of Contact Process in Complex Networks - Kai Gong; Ming Tang 004; Hui Yang; Mingsheng Shang 001 (CoRR, 2012)

Membership in social networks and the application in information filtering. - Wei Zeng 013; An Zeng; Ming-Sheng Shang 001; Yi-Cheng Zhang (CoRR, 2013)

Information filtering in sparse online systems: recommendation via semi-local diffusion. - Wei Zeng 013; An Zeng; Ming-Sheng Shang 001; Yi-Cheng Zhang (CoRR, 2013)

Extracting the information backbone in online system - Qian-Ming Zhang; An Zeng; Ming-Sheng Shang 001 (CoRR, 2013)

Solving Three-Objective Flow Shop Problem with Fast Hypervolume-Based Local Search Algorithm. - Rong-Qiang Zeng; Ming-Sheng Shang 001 (ICIC (2), 2014)

Solving bi-objective flow shop problem with multi-objective path relinking algorithm. - Rong-Qiang Zeng; Ming-Sheng Shang 001 (ICNC, 2014)

Uncovering the information core in recommender systems. - Wei Zeng 013; An Zeng; Hao Liu; Ming-Sheng Shang 001; Tao Zhou 001 (CoRR, 2014)

Recommendation algorithm based on item quality and user rating preferences. - Yuan Guan; Shimin Cai; Mingsheng Shang 001 (Frontiers Comput. Sci., 2014)

Group-based ranking method for online rating systems with spamming attacks. - Jian Gao; Yu-Wei Dong; Mingsheng Shang 001; Shi-Min Cai; Tao Zhou 001 (CoRR, 2015)

A Fast Recommendation Algorithm for Social Tagging Systems : A Delicious Case. - Yao-Dong Zhao; Shi-Min Cai; Ming Tang 004; Mingsheng Shang 001 (CoRR, 2015)

Iterative resource allocation based on propagation feature of node for identifying the influential nodes. - Lin-Feng Zhong; Jian-Guo Liu; Ming-Sheng Shang 001 (CoRR, 2015)

A hybrid cognitive assessment based on ontology knowledge map and skills. - Xiuqin Zhong; Hongguang Fu; Huadong Xia; Leina Yang; Mingsheng Shang 001 (Knowl. Based Syst., 2015)

A Multi-parent Crossover Based Genetic Algorithm for Bi-Objective Unconstrained Binary Quadratic Programming Problem. - Chao Huo; Rong-Qiang Zeng; Yang Wang 098; Mingsheng Shang 001 (BIC-TA (2), 2016)

Discovering Items with Potential Popularity on Social Media. - Khushnood Abbas; Xin Luo 001; Mingsheng Shang 001 (DASC/PiCom/DataCom/CyberSciTech, 2016)

Efficient Extraction of Non-negative Latent Factors from High-Dimensional and Sparse Matrices in Industrial Applications. - Xin Luo 001; Mingsheng Shang 001; Shuai Li 002 (ICDM, 2016)

Solving Bi-objective Unconstrained Binary Quadratic Programming Problem with Multi-objective Backbone Guided Search Algorithm. - Li-Yuan Xue; Rong-Qiang Zeng; Yang Wang 098; Mingsheng Shang 001 (ICIC (2), 2016)

Solving bi-objective unconstrained binary quadratic programming problem with multi-objective path relinking algorithm. - Lei Song; Rong-Qiang Zeng; Yang Wang 098; Mingsheng Shang 001 (ICNC-FSKD, 2016)

An Effective Genetic Algorithm with Uniform Crossover for Bi-objective Unconstrained Binary Quadratic Programming Problem. - Chao Huo; Rong-Qiang Zeng; Yang Wang 098; Mingsheng Shang 001 (IDEAL, 2016)

A Novel Approach to Extracting Non-Negative Latent Factors From Non-Negative Big Sparse Matrices. - Xin Luo 001; Mengchu Zhou; Mingsheng Shang 001; Shuai Li 002; Yunni Xia (IEEE Access, 2016)

Identifying emerging influential Nodes in evolving networks: Exploiting strength of weak nodes. - Khushnood Abbas; Mingsheng Shang 001; Shi-Min Cai; Xiaoyu Shi 001 (CoRR, 2016)

Empirical analysis of collaborative filtering-based recommenders in temporally evolving systems. - Xiaoyu Shi 001; Xin Luo 001; Mingsheng Shang 001; Xin-Yi Cai (ICNSC, 2017)

Effect of linear biases in latent factor models on high-dimensional and sparse matrices from recommender systems. - Ye Yuan 014; Xin Luo 001; Mingsheng Shang 001; Xin-Yi Cai (ICNSC, 2017)

Symmetric Non-negative Latent Factor Models for Undirected Large Networks. - Xin Luo 001; Mingsheng Shang 001 (IJCAI, 2017)

Nonlinearly-activated noise-tolerant zeroing neural network for distributed motion planning of multiple robot arms. - Long Jin 001; Shuai Li 002; Xin Luo 001; Mingsheng Shang 001 (IJCNN, 2017)

A dynamic neural controller for adaptive optimal control of permanent magnet DC motors. - Yinyan Zhang; Shuai Li 002; Xin Luo 001; Mingsheng Shang 001 (IJCNN, 2017)

Experiments on Neighborhood Combination Strategies for Bi-objective Unconstrained Binary Quadratic Programming Problem. - Li-Yuan Xue; Rong-Qiang Zeng; Wei An; Qing-Xian Wang 001; Mingsheng Shang 001 (PAAP, 2017)

Long-term performance of collaborative filtering based recommenders in temporally evolving systems. - Xiaoyu Shi 001; Xin Luo 001; Mingsheng Shang 001; Liang Gu (Neurocomputing, 2017)

Performance of latent factor models with extended linear biases. - Jia Chen; Xin Luo 001; Ye Yuan 014; Mingsheng Shang 001; Zhong Ming 001; Zhang Xiong 001 (Knowl. Based Syst., 2017)

Symmetric and Nonnegative Latent Factor Models for Undirected, High-Dimensional, and Sparse Networks in Industrial Applications. - Xin Luo 001; Jianpei Sun; Zidong Wang 001; Shuai Li 002; Mingsheng Shang 001 (IEEE Trans. Ind. Informatics, 2017)

TCR: Temporal-CNN for Reviews Based Recommendation System. - Yelu Mao; Xiaoyu Shi 001; Mingsheng Shang 001; Ying Zhang (ICDLT, 2018)

Fully Convolutional Neural Networks for Tissue Histopathology Image Classification and Segmentation. - Binbin Peng; Lin Chen 023; Mingsheng Shang 001; Jianjun Xu (ICIP, 2018)

Autonomic performance management of cloud server based on adaptive control method. - Xiaoyu Shi 001; Mingsheng Shang 001; Wenhong Tian; Khushnood Abbas; Shuai Wang; Tianshu Wu (ICNSC, 2018)

A self-training semi-supervised classification algorithm based on density peaks of data and differential evolution. - Di Wu 056; Mingsheng Shang 001; Guoyin Wang 001; Li Li (ICNSC, 2018)

Accelerated Non-negative Latent Factor Analysis on High-Dimensional and Sparse Matrices via Generalized Momentum Method. - Zhigang Liu 006; Xin Luo 001; Shuai Li 002; Mingsheng Shang 001 (SMC, 2018)

Incremental Slope-one recommenders. - Qing-Xian Wang 001; Xin Luo 001; Yan Li; Xiaoyu Shi 001; Liang Gu; Mingsheng Shang 001 (Neurocomputing, 2018)

Self-training semi-supervised classification based on density peaks of data. - Di Wu 056; Mingsheng Shang 001; Xin Luo 001; Ji Xu 001; Huyong Yan; Weihui Deng; Guoyin Wang 001 (Neurocomputing, 2018)

Effects of preprocessing and training biases in latent factor models for recommender systems. - Ye Yuan 014; Xin Luo 001; Mingsheng Shang 001 (Neurocomputing, 2018)

On minimizing total energy consumption in the scheduling of virtual machine reservations. - Wenhong Tian; Majun He; Wenxia Guo; Wenqiang Huang; Xiaoyu Shi 001; Mingsheng Shang 001; Adel Nadjaran Toosi; Rajkumar Buyya (J. Netw. Comput. Appl., 2018)

An Inherently Nonnegative Latent Factor Model for High-Dimensional and Sparse Matrices from Industrial Applications. - Xin Luo 001; MengChu Zhou; Shuai Li 002; Mingsheng Shang 001 (IEEE Trans. Ind. Informatics, 2018)

A Highly Accurate Framework for Self-Labeled Semisupervised Classification in Industrial Applications. - Di Wu 056; Xin Luo 001; Guoyin Wang 001; Mingsheng Shang 001; Ye Yuan 014; Huyong Yan (IEEE Trans. Ind. Informatics, 2018)

Online Feature Selection with Capricious Streaming Features: A General Framework. - Di Wu 056; Yi He 007; Xin Luo 001; Mingsheng Shang 001; Xindong Wu 001 (IEEE BigData, 2019)

SLAs-Aware Online Task Scheduling Based on Deep Reinforcement Learning Method in Cloud Environment. - Longyu Ran; Xiaoyu Shi 001; Mingsheng Shang 001 (HPCC/SmartCity/DSS, 2019)

A Deep Self-learning Classification Framework for Incomplete Medical Patents with Multi-label. - Mengzhen Luo; Xiaoyu Shi 001; Qianqian Ji; Mingsheng Shang 001; Xianbo He; Weiguo Tao (ICNC-FSKD, 2019)

Random Forest-Based Ensemble Estimator for Concrete Compressive Strength Prediction via AdaBoost Method. - Yuanxin Lv; Xiaoyu Shi 001; Longyu Ran; Mingsheng Shang 001 (ICNC-FSKD, 2019)

A Deep Temporal Collaborative Filtering Recommendation Framework via Joint Learning from Long and Short-Term Effects. - Qianqian Ji; Xiaoyu Shi 001; Mingsheng Shang 001 (ISPA/BDCloud/SocialCom/SustainCom, 2019)

A Data-Aware Latent Factor Model for Web Service QoS Prediction. - Di Wu 056; Xin Luo 001; Mingsheng Shang 001; Yi He 007; Guoyin Wang 001; Xindong Wu 001 (PAKDD (1), 2019)

A Fast Autoencoder-based Recommender. - Jiajia Jiang; Yunni Xia; Mingsheng Shang 001 (SMC, 2019)

DCCR: Deep Collaborative Conjunctive Recommender for Rating Prediction. - Qingxian Wang 001; Binbin Peng; Xiaoyu Shi 001; Tianqi Shang; Mingsheng Shang 001 (IEEE Access, 2019)

Randomized latent factor model for high-dimensional and sparse matrices from industrial applications. - Mingsheng Shang 001; Xin Luo 001; Zhigang Liu 006; Jia Chen; Ye Yuan 014; MengChu Zhou (IEEE CAA J. Autom. Sinica, 2019)

A momentum-incorporated latent factorization of tensors model for temporal-aware QoS missing data prediction. - Qingxian Wang 001; Minzhi Chen; Mingsheng Shang 001; Xin Luo 001 (Neurocomputing, 2019)

Diversity-Aware Top-N Recommendation: A Deep Reinforcement Learning Way. - Tao Wang; Xiaoyu Shi 001; Mingsheng Shang 001 (Big Data (CCF), 2020)

Temporal Web Service QoS Prediction via Kalman Filter-Incorporated Latent Factor Analysis. - Ye Yuan 014; Mingsheng Shang 001; Xin Luo 001 (ECAI, 2020)

A Compressed Sensing and Porous 9-7 Wavelet Transform-based Image Fusion Algorithm. - Qing Li 035; Mingsheng Shang 001 (SMC, 2020)

A Clustering-Based Collaborative Filtering Recommendation Algorithm via Deep Learning User Side Information. - Chonghao Zhao; Xiaoyu Shi 001; Mingsheng Shang 001; Yiqiu Fang (WISE (2), 2020)

A Generalized and Fast-converging Non-negative Latent Factor Model for Predicting User Preferences in Recommender Systems. - Ye Yuan 014; Xin Luo 001; Mingsheng Shang 001; Di Wu 056 (WWW, 2020)

TempNodeEmb: Temporal Node Embedding considering temporal edge influence matrix. - Khushnood Abbas; Alireza Abbasi; Shi Dong 001; Niu Ling; Mingsheng Shang 001; Chen Liong; Bolun Chen (CoRR, 2020)

Non-Negativity Constrained Missing Data Estimation for High-Dimensional and Sparse Matrices from Industrial Applications. - Xin Luo 001; Mengchu Zhou; Shuai Li 002; Lun Hu; Mingsheng Shang 001 (IEEE Trans. Cybern., 2020)

UEIN: A User Evolving Interests Network for Click-Through Rate Prediction. - Jianxiong Xu; Xiaoyu Shi 001; Hezhe Qiao; Mingsheng Shang 001; Xianbo He; Qingyu He (BigDataSE, 2021)

RoboNet: a Neural Network Based Kinematic Parameter Identification Model. - Diwen Xiong; Mingsheng Shang 001 (ICNSC, 2021)

Chronic Disease Detection Via Non-negative Latent Feature Analysis. - Leming Zhou; Qing Li 035; Mingsheng Shang 001 (ICNSC, 2021)

Improving Pedestrian Attribute Recognition with Multi-Scale Spatial Calibration. - Jiabao Zhong; Hezhe Qiao; Lin Chen 023; Mingsheng Shang 001; Qun Liu 005 (IJCNN, 2021)

The Stock Market Model with Delayed Information Impact from a Socioeconomic View. - Zhiting Wang; Guiyuan Shi; Mingsheng Shang 001; Yuxia Zhang (Entropy, 2021)

Dynamical Conventional Neural Network Channel Pruning by Genetic Wavelet Channel Search for Image Classification. - Lin Chen 023; Saijun Gong; Xiaoyu Shi 001; Mingsheng Shang 001 (Frontiers Comput. Neurosci., 2021)

Multi-robot competitive tracking based on k-WTA neural network with one single neuron. - Bo Peng; Long Jin 001; Mingsheng Shang 001 (Neurocomputing, 2021)

BALFA: A brain storm optimization-based adaptive latent factor analysis model. - Qing Li 035; Mingsheng Shang 001 (Inf. Sci., 2021)

Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems. - Xin Luo 001; Mengchu Zhou; Shuai Li 002; Di Wu 056; Zhigang Liu 006; Mingsheng Shang 001 (IEEE Trans. Big Data, 2021)

Highly-Accurate Community Detection via Pointwise Mutual Information-Incorporated Symmetric Non-Negative Matrix Factorization. - Xin Luo 001; Zhigang Liu 006; Mingsheng Shang 001; Jungang Lou; MengChu Zhou (IEEE Trans. Netw. Sci. Eng., 2021)

A Fast Non-Negative Latent Factor Model Based on Generalized Momentum Method. - Xin Luo 001; Zhigang Liu 006; Shuai Li 002; Mingsheng Shang 001; Zidong Wang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

An Instance-Frequency-Weighted Regularization Scheme for Non-Negative Latent Factor Analysis on High-Dimensional and Sparse Data. - Xin Luo 001; Zidong Wang 001; Mingsheng Shang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Non-Negative Latent Factor Model Based on β-Divergence for Recommender Systems. - Xin Luo 001; Ye Yuan 014; MengChu Zhou; Zhigang Liu 006; Mingsheng Shang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems. - Di Wu 056; Xin Luo 001; Mingsheng Shang 001; Yi He 007; Guoyin Wang 001; MengChu Zhou (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Zero Stability Well Predicts Performance of Convolutional Neural Networks. - Liangming Chen; Long Jin 001; Mingsheng Shang 001 (AAAI, 2022)

Toward Auto-Learning Hyperparameters for Deep Learning-Based Recommender Systems. - Bo Sun; Di Wu 056; Mingsheng Shang 001; Yi He 007 (DASFAA (2), 2022)

Performance and Cost-Aware Task Scheduling via Deep Reinforcement Learning in Cloud Environment. - Zihui Zhao; Xiaoyu Shi 001; Mingsheng Shang 001 (ICSOC, 2022)

Aspect-aware Asymmetric Representation Learning Network for Review-based Recommendation. - Hao Liu; Hezhe Qiao; Xiaoyu Shi 001; Mingsheng Shang 001 (IJCNN, 2022)

Attention Auxiliary Spatial Fusion for Pedestrian Attribute Recognition. - Meijun Luo; Lin Chen 023; Yunni Xia; Mingsheng Shang 001 (SMC, 2022)

A structure-characteristic-aware network embedding model via differential evolution. - Xiaoyu Xu; Di Wu 056; Mingsheng Shang 001 (Expert Syst. Appl., 2022)

On RNN-Based $k$-WTA Models With Time-Dependent Inputs. - Mei Liu; Mingsheng Shang 001 (IEEE CAA J. Autom. Sinica, 2022)

Gradient-Based Differential $k text{WTA}$ Network With Application to Competitive Coordination of Multiple Robots. - Mei Liu; Xiaoyan Zhang; Mingsheng Shang 001; Long Jin 001 (IEEE CAA J. Autom. Sinica, 2022)

Real-time cooperative kinematic control for multiple robots in distributed scenarios with dynamic neural networks. - Mei Liu; Jiazheng Zhang; Mingsheng Shang 001 (Neurocomputing, 2022)

Adjusted stochastic gradient descent for latent factor analysis. - Qing Li 035; Diwen Xiong; Mingsheng Shang 001 (Inf. Sci., 2022)

Joint hyperbolic and Euclidean geometry contrastive graph neural networks. - Xiaoyu Xu; Guansong Pang; Di Wu 056; Mingsheng Shang 001 (Inf. Sci., 2022)

An efficient annealing-assisted differential evolution for multi-parameter adaptive latent factor analysis. - Qing Li 035; Guansong Pang; Mingsheng Shang 001 (J. Big Data, 2022)

MCFL: multi-label contrastive focal loss for deep imbalanced pedestrian attribute recognition. - Lin Chen 023; Jingkuan Song; Xuerui Zhang; Mingsheng Shang 001 (Neural Comput. Appl., 2022)

Distributed Competition of Multi-Robot Coordination Under Variable and Switching Topologies. - Long Jin 001; Yimeng Qi; Xin Luo 001; Shuai Li 002; Mingsheng Shang 001 (IEEE Trans Autom. Sci. Eng., 2022)

Large-Scale and Scalable Latent Factor Analysis via Distributed Alternative Stochastic Gradient Descent for Recommender Systems. - Xiaoyu Shi 001; Qiang He 001; Xin Luo 001; Yanan Bai; Mingsheng Shang 001 (IEEE Trans. Big Data, 2022)

A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices. - Ye Yuan 014; Qiang He 001; Xin Luo 001; Mingsheng Shang 001 (IEEE Trans. Big Data, 2022)

Momentum-Incorporated Symmetric Non-Negative Latent Factor Models. - Yurong Zhong; Long Jin 001; Mingsheng Shang 001; Xin Luo 001 (IEEE Trans. Big Data, 2022)

An α-β-Divergence-Generalized Recommender for Highly Accurate Predictions of Missing User Preferences. - Mingsheng Shang 001; Ye Yuan 014; Xin Luo 001; MengChu Zhou (IEEE Trans. Cybern., 2022)

Computational Neural Dynamics Model for Time-Variant Constrained Nonlinear Optimization Applied to Winner-Take-All Operation. - Mei Liu; Xiaoyan Zhang; Mingsheng Shang 001 (IEEE Trans. Ind. Informatics, 2022)

A Data-Characteristic-Aware Latent Factor Model for Web Services QoS Prediction. - Di Wu 056; Xin Luo 001; Mingsheng Shang 001; Yi He 007; Guoyin Wang 001; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2022)

An L1-and-L2-Norm-Oriented Latent Factor Model for Recommender Systems. - Di Wu 056; Mingsheng Shang 001; Xin Luo 001; Zidong Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

A Posterior-Neighborhood-Regularized Latent Factor Model for Highly Accurate Web Service QoS Prediction. - Di Wu 056; Qiang He 001; Xin Luo 001; Mingsheng Shang 001; Yi He 007; Guoyin Wang 001 (IEEE Trans. Serv. Comput., 2022)

Contrastive Learning based Item Representation with Asymmetric Augmentation for Sequential Recommendation. - Kexiang Zeng; Xiaoyu Shi 001; Hong Xie 004; Mingsheng Shang 001 (ADMIT, 2023)

A Predictive Coding Approach to Multivariate Time Series Anomaly Detection. - Zhi Qi; Hong Xie 004; Mingsheng Shang 001 (DASFAA (1), 2023)

A Self-decoupled Interpretable Prediction Framework for Highly-Variable Cloud Workloads. - Bingchao Wang; Xiaoyu Shi 001; Mingsheng Shang 001 (DASFAA (1), 2023)

Towards Long-term Fairness in Interactive Recommendation: A Maximum Entropy Reinforcement Learning Approach. - Xiaoyu Shi 001; Quanliang Liu; Hong Xie 004; Mingsheng Shang 001 (ICWS, 2023)

CGCCMR: An Enhanced Multi-gate Model for Cross-Market Recommendation. - Jinyu Mo; Hong Xie 004; Xiaoyu Shi 001; Mingsheng Shang 001 (IJCNN, 2023)

A noise-suppressing discrete-time neural dynamics model for solving time-dependent multi-linear M-tensor equation. - Mei Liu; Huanmei Wu; Mingsheng Shang 001 (Neurocomputing, 2023)

Hyperparameter Learning for Deep Learning-Based Recommender Systems. - Di Wu 056; Bo Sun; Mingsheng Shang 001 (IEEE Trans. Serv. Comput., 2023)

Activated Gradients for Deep Neural Networks. - Mei Liu; Liangming Chen; Xiaohao Du; Long Jin 001; Mingsheng Shang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Graph neural networks via contrast between separation and aggregation for self and neighborhood. - Xiaoyu Xu; Xiaoyu Shi 001; Mingsheng Shang 001 (Expert Syst. Appl., 2023)

Dynamic Neural Network for Bicriteria Weighted Control of Robot Manipulators. - Mei Liu; Li He; Mingsheng Shang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Kalman-Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data. - Ye Yuan 014; Xin Luo 001; Mingsheng Shang 001; Zidong Wang 001 (IEEE Trans. Cybern., 2023)

A Novel Competition-Based Coordination Model with Dynamic Feedback for Multi-Robot Systems. - Bo Peng; Xuerui Zhang; Mingsheng Shang 001 (IEEE CAA J. Autom. Sinica, 2023)

KAGN:knowledge-powered attention and graph convolutional networks for social media rumor detection. - Wei Cui; Mingsheng Shang 001 (J. Big Data, 2023)

RTiSR: a review-driven time interval-aware sequential recommendation method. - Xiaoyu Shi 001; Quanliang Liu; Yanan Bai; Mingsheng Shang 001 (J. Big Data, 2023)

Neural Solution to Dynamic Overdetermined System With Applications to Data Fitting and Parameters Estimation. - Mei Liu; Ying Liufu; Huiyan Lu; Mingsheng Shang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Temporal-Contextual Event Learning for Pedestrian Crossing Intent Prediction. - Hongbin Liang; Hezhe Qiao; Wei Huang; Qizhou Wang; Mingsheng Shang 001; Lin Chen 023 (ICONIP (5), 2024)

Hierarchical Reinforcement Learning for Long-term Fairness in Interactive Recommendation. - Chongjun Xia; Xiaoyu Shi 001; Hong Xie 004; Quanliang Liu; Mingsheng Shang 001 (ICWS, 2024)

Self-supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection. - Yutong Chen; Hongzuo Xu; Guansong Pang; Hezhe Qiao; Yuan Zhou; Mingsheng Shang 001 (ECML/PKDD (6), 2024)

Asynchronous SGD with stale gradient dynamic adjustment for deep learning training. - Tao Tan; Hong Xie 004; Yunni Xia; Xiaoyu Shi 001; Mingsheng Shang 001 (Inf. Sci., 2024)

Maximum Entropy Policy for Long-Term Fairness in Interactive Recommender Systems. - Xiaoyu Shi 001; Quanliang Liu; Hong Xie 004; Yanan Bai; Mingsheng Shang 001 (IEEE Trans. Serv. Comput., 2024)

Neural dynamics solver for time-dependent infinity-norm optimization based on ACP framework with robot application. - Dexiu Ma; Mei Liu; Mingsheng Shang 001 (Neurocomputing, 2024)

Multi-modality frequency-aware cross attention network for fake news detection. - Wei Cui; Xuerui Zhang; Mingsheng Shang 001 (J. Intell. Fuzzy Syst., 2024)

Robust and efficient algorithms for conversational contextual bandit. - Haoran Gu; Yunni Xia; Hong Xie 004; Xiaoyu Shi 001; Mingsheng Shang 001 (Inf. Sci., 2024)

Probabilistic Modeling of Assimilate-Contrast Effects in Online Rating Systems. - Hong Xie 004; Mingze Zhong; Xiaoyu Shi 001; Xiaoying Zhang; Jiang Zhong; Mingsheng Shang 001 (IEEE Trans. Knowl. Data Eng., 2024)

A Pseudoinversion-Free Method for Weight Updating in Broad Learning System. - Mei Liu; Xiufang Chen; Mingsheng Shang 001; Hongwei Li (IEEE Trans. Neural Networks Learn. Syst., 2024)

Physical-Informed Neural Network for MPC-Based Trajectory Tracking of Vehicles With Noise Considered. - Long Jin 001; Longqi Liu; Xingxia Wang; Mingsheng Shang 001; Fei-Yue Wang 001 (IEEE Trans. Intell. Veh., 2024)

Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach. - Xiaoyu Shi 001; Quanliang Liu; Hong Xie 004; Di Wu 056; Bo Peng; Mingsheng Shang 001; Defu Lian (ACM Trans. Inf. Syst., 2024)

Orientation Tracking Incorporated Multicriteria Control for Redundant Manipulators With Dynamic Neural Network. - Mei Liu; Mingsheng Shang 001 (IEEE Trans. Ind. Electron., 2024)

Data-Driven Remote Center of Cyclic Motion (RC$^{2}$M) Control for Redundant Robots With Rod-Shaped End-Effector. - Mei Liu; Kun Liu; Puchen Zhu; G. Q. (Kouchi) Zhang; Xin Ma; Mingsheng Shang 001 (IEEE Trans. Ind. Informatics, 2024)

Metaheuristic-Based RNN for Manipulability Optimization of Redundant Manipulators. - Jiawang Tan; Mingsheng Shang 001; Long Jin 001 (IEEE Trans. Ind. Informatics, 2024)

ACP-Incorporated Perturbation-Resistant Neural Dynamics Controller for Autonomous Vehicles. - Ying Liufu; Long Jin 001; Mingsheng Shang 001; Xingxia Wang; Fei-Yue Wang 001 (IEEE Trans. Intell. Veh., 2024)

A Transfer-Learning-Like Neural Dynamics Algorithm for Arctic Sea Ice Extraction. - Bo Peng; Kefan Zhang; Long Jin 001; Mingsheng Shang 001 (Neural Process. Lett., 2024)

Dynamic Neural Network for Motion/Force Control of Manipulators With Polynomial Noises. - Mei Liu; Fan Zhang 102; Li He; Mingsheng Shang 001 (IEEE Trans. Ind. Electron., 2024)

A Meta-Learning Approach to Mitigating the Estimation Bias of Q-Learning. - Tao Tan; Hong Xie 004; Xiaoyu Shi 001; Mingsheng Shang 001 (ACM Trans. Knowl. Discov. Data, 2024)

Enhancing Representation Power of Deep Neural Networks With Negligible Parameter Growth for Industrial Applications. - Liangming Chen; Long Jin 001; Mingsheng Shang 001; Fei-Yue Wang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Adaptive moving average Q-learning. - Tao Tan; Hong Xie 004; Yunni Xia; Xiaoyu Shi 001; Mingsheng Shang 001 (Knowl. Inf. Syst., 2024)

DRAE: Dynamic Retrieval-Augmented Expert Networks for Lifelong Learning and Task Adaptation in Robotics. - Yayu Long; Kewei Chen; Long Jin 001; Mingsheng Shang 001 (ACL (1), 2025)

IFIR: A Comprehensive Benchmark for Evaluating Instruction-Following in Expert-Domain Information Retrieval. - Tingyu Song; Guo Gan; Mingsheng Shang 001; Yilun Zhao 001 (NAACL (Long Papers), 2025)

Spatiotemporal water quality data reconstruction: A tensor factorization framework. - Xuke Wu; Kun Shan; Lan Wang; Jingkai Wang; Mingsheng Shang 001 (Ecol. Informatics, 2025)

Multi-View mutual learning network for multimodal fake news detection. - Wei Cui; Xuerui Zhang; Mingsheng Shang 001 (Expert Syst. Appl., 2025)

MIGCL: Fake news detection with multimodal interaction and graph contrastive learning networks. - Wei Cui; Mingsheng Shang 001 (Appl. Intell., 2025)

Semantic-guided Representation Learning for Multi-Label Recognition. - Ruhui Zhang; Hezhe Qiao; Pengcheng Xu; Mingsheng Shang 001; Lin Chen 023 (CoRR, 2025)

Cross-Domain Semantic Transfer for Domain Generalization. - Yan Wang; Hong Xie 004; Jinyang He; Xiaoyu Shi 001; Mingsheng Shang 001 (ACM Trans. Multim. Comput. Commun. Appl., 2025)

Robust Input Shaping Control for Flexible Structures Based on Unscented Kalman Filter. - Weiyi Yang; Yu Yuan; Mingsheng Shang 001 (CoRR, 2025)

Efficient Loss Landscape Reshaping for Convolutional Neural Networks. - Liangming Chen; Long Jin 001; Mingsheng Shang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)