Mingsheng Shang

166 papers A* 7A 5B 13C 2Journal 104Unranked 35

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Trade-offs: Leveraging Spatiotemporal Heterogeneity of User Preference for Long-term Fairness and Accuracy in Interactive Recommendation. ACM Trans. Web Chongjun Xia, Xiaoyu Shi, Hong Xie, Yun Lu, Pu Li, Mingsheng Shang
2026	J	`jnl`	BiMoE: Brain-Inspired Experts for EEG-Dominant Affective State Recognition. CoRR Hongyu Zhu, Lin Chen, Mingsheng Shang
2026	J	`jnl`	Corrigendum to "A Novel Data-Driven Input Shaping Method Using Residual Impulse Vector Via Unscented Kalman Filter" [Knowledge-Based Systems (2025), Volume 329, Part B, November 2025, 114385]. Knowl. Based Syst. Weiyi Yang, Yuqi Li, Mingsheng Shang, Shuai Li, Shiping Wen
2026	A*	`conf`	FT-NCFM: An Influence-Aware Data Distillation Framework for Efficient VLA Models. AAAI Kewei Chen, Yayu Long, Shuai Li, Mingsheng Shang
2026	J	`jnl`	Fairness Begins with State: Purifying Latent Preferences for Hierarchical Reinforcement Learning in Interactive Recommendation. CoRR Yun Lu, Xiaoyu Shi, Hong Xie, Xiangyu Zhao, Mingsheng Shang
2026	A*	`conf`	PIPHEN: Physical Interaction Prediction with Hamiltonian Energy Networks. AAAI Kewei Chen, Yayu Long, Mingsheng Shang
2026	J	`jnl`	Proactive Guiding Strategy for Item-side Fairness in Interactive Recommendation. CoRR Chongjun Xia, Xiaoyu Shi, Hong Xie, Xianzhi Wang, Yun Lu, Mingsheng Shang
2026	A*	`conf`	Revisiting Fairness-aware Interactive Recommendation: Item Lifecycle as a Control Knob. AAAI Yun Lu, Xiaoyu Shi, Hong Xie, Chongjun Xia, Zhenhui Gong, Mingsheng Shang
2026	J	`jnl`	SmoothVLA: Aligning Vision-Language-Action Models with Physical Constraints via Intrinsic Smoothness Optimization. CoRR Jiashun Li, Xiaoyu Shi, Hong Xie, Mingsheng Shang, Yun Lu
2025	B	`conf`	A Particle swarm optimization based Residual Negative Magnitude Shaping Scheme for Vibration Control. SMC Weiyi Yang, Ye Yuan, Mingsheng Shang
2025	J	`jnl`	A novel data-driven input shaping method using residual impulse vector via unscented Kalman filter. Knowl. Based Syst. Weiyi Yang, Yuqi Li, Mingsheng Shang, Shuai Li, Shiping Wen
2025	—	`conf`	An Adaptive $L_{1}$-And- $L_{2}$-Normed Latent Factorization of Tensors Model for Imputing Water Quality Monitoring Data. ICNSC Xuke Wu, Lan Wang, Chentao Mao, Kun Shan, Bing Yang, Mingsheng Shang
2025	B	`conf`	CA-Gen: Cluster-aware Anomaly Generation for Video Anomaly Detection. SMC HaiFu Ye, Lin Chen, Mingsheng Shang
2025	J	`jnl`	Cross-Domain Semantic Transfer for Domain Generalization. ACM Trans. Multim. Comput. Commun. Appl. Yan Wang, Hong Xie, Jinyang He, Xiaoyu Shi, Mingsheng Shang
2025	—	`conf`	DRAE: Dynamic Retrieval-Augmented Expert Networks for Lifelong Learning and Task Adaptation in Robotics. ACL (1) Yayu Long, Kewei Chen, Long Jin, Mingsheng Shang
2025	J	`jnl`	DRAE: Dynamic Retrieval-Augmented Expert Networks for Lifelong Learning and Task Adaptation in Robotics. CoRR Yayu Long, Kewei Chen, Long Jin, Mingsheng Shang
2025	—	`conf`	ERL-CDR: Evolutionary Reinforcement Learning with Causal Decoupling Representation. ICA3PP (3) Zuohao Wu, Guang Li, Zihao Li, Jiaqi Wei, Mingsheng Shang
2025	J	`jnl`	Efficient Loss Landscape Reshaping for Convolutional Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Liangming Chen, Long Jin, Mingsheng Shang
2025	J	`jnl`	Enhanced tensor factorization for spatiotemporal imputation of high-frequency water quality monitoring data. Environ. Model. Softw. Xuke Wu, Kun Shan, Friedrich Recknagel, Lan Wang, Mingsheng Shang
2025	J	`jnl`	FT-NCFM: An Influence-Aware Data Distillation Framework for Efficient VLA Models. CoRR Kewei Chen, Yayu Long, Shuai Li, Mingsheng Shang
2025	—	`conf`	IFIR: A Comprehensive Benchmark for Evaluating Instruction-Following in Expert-Domain Information Retrieval. NAACL (Long Papers) Tingyu Song, Guo Gan, Mingsheng Shang, Yilun Zhao
2025	J	`jnl`	IFIR: A Comprehensive Benchmark for Evaluating Instruction-Following in Expert-Domain Information Retrieval. CoRR Tingyu Song, Guo Gan, Mingsheng Shang, Yilun Zhao
2025	—	`conf`	ILMA: Improving Robot Task Execution in Complex Environments via Item-Level Multi-Agent Interaction. PRCV (11) Kewei Chen, Yayu Long, Mingsheng Shang
2025	—	`conf`	MCE-ERL: Evolutionary Reinforcement Learning Algorithm with Multi-Distribution Critics Evaluation. ICNSC Zuohao Wu, Guang Li, Zihao Li, Hongyu Ao, Mingsheng Shang
2025	J	`jnl`	MIGCL: Fake news detection with multimodal interaction and graph contrastive learning networks. Appl. Intell. Wei Cui, Mingsheng Shang
2025	J	`jnl`	MS-Mix: Unveiling the Power of Mixup for Multimodal Sentiment Analysis. CoRR Hongyu Zhu, Lin Chen, Mounim A. El-Yacoubi, Mingsheng Shang
2025	J	`jnl`	Multi-View mutual learning network for multimodal fake news detection. Expert Syst. Appl. Wei Cui, Xuerui Zhang, Mingsheng Shang
2025	J	`jnl`	PIPHEN: Physical Interaction Prediction with Hamiltonian Energy Networks. CoRR Kewei Chen, Yayu Long, Mingsheng Shang
2025	J	`jnl`	Revisiting Fairness-aware Interactive Recommendation: Item Lifecycle as a Control Knob. CoRR Yun Lu, Xiaoyu Shi, Hong Xie, Chongjun Xia, Zhenhui Gong, Mingsheng Shang
2025	J	`jnl`	Robust Input Shaping Control for Flexible Structures Based on Unscented Kalman Filter. CoRR Weiyi Yang, Yu Yuan, Mingsheng Shang
2025	A	`conf`	Semantic-guided Representation Learning for Multi-Label Recognition. ICME Ruhui Zhang, Hezhe Qiao, Pengcheng Xu, Mingsheng Shang, Lin Chen
2025	J	`jnl`	Semantic-guided Representation Learning for Multi-Label Recognition. CoRR Ruhui Zhang, Hezhe Qiao, Pengcheng Xu, Mingsheng Shang, Lin Chen
2025	J	`jnl`	Spatiotemporal water quality data reconstruction: A tensor factorization framework. Ecol. Informatics Xuke Wu, Kun Shan, Lan Wang, Jingkai Wang, Mingsheng Shang
2025	J	`jnl`	Temporal-contextual Event Learning for Pedestrian Crossing Intent Prediction. CoRR Hongbin Liang, Hezhe Qiao, Wei Huang, Qizhou Wang, Mingsheng Shang, Lin Chen
2024	J	`jnl`	A Meta-Learning Approach to Mitigating the Estimation Bias of Q-Learning. ACM Trans. Knowl. Discov. Data Tao Tan, Hong Xie, Xiaoyu Shi, Mingsheng Shang
2024	J	`jnl`	A Pseudoinversion-Free Method for Weight Updating in Broad Learning System. IEEE Trans. Neural Networks Learn. Syst. Mei Liu, Xiufang Chen, Mingsheng Shang, Hongwei Li
2024	J	`jnl`	A Transfer-Learning-Like Neural Dynamics Algorithm for Arctic Sea Ice Extraction. Neural Process. Lett. Bo Peng, Kefan Zhang, Long Jin, Mingsheng Shang
2024	J	`jnl`	ACP-Incorporated Perturbation-Resistant Neural Dynamics Controller for Autonomous Vehicles. IEEE Trans. Intell. Veh. Ying Liufu, Long Jin, Mingsheng Shang, Xingxia Wang, Fei-Yue Wang
2024	J	`jnl`	Adaptive moving average Q-learning. Knowl. Inf. Syst. Tao Tan, Hong Xie, Yunni Xia, Xiaoyu Shi, Mingsheng Shang
2024	J	`jnl`	Asynchronous SGD with stale gradient dynamic adjustment for deep learning training. Inf. Sci. Tao Tan, Hong Xie, Yunni Xia, Xiaoyu Shi, Mingsheng Shang
2024	J	`jnl`	Data-Driven Remote Center of Cyclic Motion (RC$^{2}$M) Control for Redundant Robots With Rod-Shaped End-Effector. IEEE Trans. Ind. Informatics Mei Liu, Kun Liu, Puchen Zhu, G. Q. (Kouchi) Zhang, Xin Ma, Mingsheng Shang
2024	J	`jnl`	Dynamic Neural Network for Motion/Force Control of Manipulators With Polynomial Noises. IEEE Trans. Ind. Electron. Mei Liu, Fan Zhang, Li He, Mingsheng Shang
2024	J	`jnl`	Enhancing Representation Power of Deep Neural Networks With Negligible Parameter Growth for Industrial Applications. IEEE Trans. Syst. Man Cybern. Syst. Liangming Chen, Long Jin, Mingsheng Shang, Fei-Yue Wang
2024	A	`conf`	Hierarchical Reinforcement Learning for Long-term Fairness in Interactive Recommendation. ICWS Chongjun Xia, Xiaoyu Shi, Hong Xie, Quanliang Liu, Mingsheng Shang
2024	J	`jnl`	Maximum Entropy Policy for Long-Term Fairness in Interactive Recommender Systems. IEEE Trans. Serv. Comput. Xiaoyu Shi, Quanliang Liu, Hong Xie, Yanan Bai, Mingsheng Shang
2024	J	`jnl`	Metaheuristic-Based RNN for Manipulability Optimization of Redundant Manipulators. IEEE Trans. Ind. Informatics Jiawang Tan, Mingsheng Shang, Long Jin
2024	J	`jnl`	Multi-modality frequency-aware cross attention network for fake news detection. J. Intell. Fuzzy Syst. Wei Cui, Xuerui Zhang, Mingsheng Shang
2024	J	`jnl`	Neural dynamics solver for time-dependent infinity-norm optimization based on ACP framework with robot application. Neurocomputing Dexiu Ma, Mei Liu, Mingsheng Shang
2024	J	`jnl`	Orientation Tracking Incorporated Multicriteria Control for Redundant Manipulators With Dynamic Neural Network. IEEE Trans. Ind. Electron. Mei Liu, Mingsheng Shang
2024	J	`jnl`	Physical-Informed Neural Network for MPC-Based Trajectory Tracking of Vehicles With Noise Considered. IEEE Trans. Intell. Veh. Long Jin, Longqi Liu, Xingxia Wang, Mingsheng Shang, Fei-Yue Wang
2024	J	`jnl`	Probabilistic Modeling of Assimilate-Contrast Effects in Online Rating Systems. IEEE Trans. Knowl. Data Eng. Hong Xie, Mingze Zhong, Xiaoyu Shi, Xiaoying Zhang, Jiang Zhong, Mingsheng Shang
2024	J	`jnl`	Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach. ACM Trans. Inf. Syst. Xiaoyu Shi, Quanliang Liu, Hong Xie, Di Wu, Bo Peng, Mingsheng Shang, Defu Lian
2024	J	`jnl`	Robust and efficient algorithms for conversational contextual bandit. Inf. Sci. Haoran Gu, Yunni Xia, Hong Xie, Xiaoyu Shi, Mingsheng Shang
2024	J	`jnl`	Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection. CoRR Yutong Chen, Hongzuo Xu, Guansong Pang, Hezhe Qiao, Yuan Zhou, Mingsheng Shang
2024	—	`conf`	Self-supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection. ECML/PKDD (6) Yutong Chen, Hongzuo Xu, Guansong Pang, Hezhe Qiao, Yuan Zhou, Mingsheng Shang
2024	—	`conf`	Temporal-Contextual Event Learning for Pedestrian Crossing Intent Prediction. ICONIP (5) Hongbin Liang, Hezhe Qiao, Wei Huang, Qizhou Wang, Mingsheng Shang, Lin Chen
2023	J	`jnl`	A Kalman-Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data. IEEE Trans. Cybern. Ye Yuan, Xin Luo, Mingsheng Shang, Zidong Wang
2023	J	`jnl`	A Novel Competition-Based Coordination Model with Dynamic Feedback for Multi-Robot Systems. IEEE CAA J. Autom. Sinica Bo Peng, Xuerui Zhang, Mingsheng Shang
2023	—	`conf`	A Predictive Coding Approach to Multivariate Time Series Anomaly Detection. DASFAA (1) Zhi Qi, Hong Xie, Mingsheng Shang
2023	—	`conf`	A Self-decoupled Interpretable Prediction Framework for Highly-Variable Cloud Workloads. DASFAA (1) Bingchao Wang, Xiaoyu Shi, Mingsheng Shang
2023	J	`jnl`	A noise-suppressing discrete-time neural dynamics model for solving time-dependent multi-linear M-tensor equation. Neurocomputing Mei Liu, Huanmei Wu, Mingsheng Shang
2023	J	`jnl`	Activated Gradients for Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Mei Liu, Liangming Chen, Xiaohao Du, Long Jin, Mingsheng Shang
2023	B	`conf`	CGCCMR: An Enhanced Multi-gate Model for Cross-Market Recommendation. IJCNN Jinyu Mo, Hong Xie, Xiaoyu Shi, Mingsheng Shang
2023	—	`conf`	Contrastive Learning based Item Representation with Asymmetric Augmentation for Sequential Recommendation. ADMIT Kexiang Zeng, Xiaoyu Shi, Hong Xie, Mingsheng Shang
2023	J	`jnl`	Dynamic Neural Network for Bicriteria Weighted Control of Robot Manipulators. IEEE Trans. Neural Networks Learn. Syst. Mei Liu, Li He, Mingsheng Shang
2023	J	`jnl`	Graph neural networks via contrast between separation and aggregation for self and neighborhood. Expert Syst. Appl. Xiaoyu Xu, Xiaoyu Shi, Mingsheng Shang
2023	J	`jnl`	Hyperparameter Learning for Deep Learning-Based Recommender Systems. IEEE Trans. Serv. Comput. Di Wu, Bo Sun, Mingsheng Shang
2023	J	`jnl`	KAGN:knowledge-powered attention and graph convolutional networks for social media rumor detection. J. Big Data Wei Cui, Mingsheng Shang
2023	J	`jnl`	Neural Solution to Dynamic Overdetermined System With Applications to Data Fitting and Parameters Estimation. IEEE Trans. Syst. Man Cybern. Syst. Mei Liu, Ying Liufu, Huiyan Lu, Mingsheng Shang
2023	J	`jnl`	RTiSR: a review-driven time interval-aware sequential recommendation method. J. Big Data Xiaoyu Shi, Quanliang Liu, Yanan Bai, Mingsheng Shang
2023	A	`conf`	Towards Long-term Fairness in Interactive Recommendation: A Maximum Entropy Reinforcement Learning Approach. ICWS Xiaoyu Shi, Quanliang Liu, Hong Xie, Mingsheng Shang
2022	J	`jnl`	A Data-Characteristic-Aware Latent Factor Model for Web Services QoS Prediction. IEEE Trans. Knowl. Data Eng. Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, Xindong Wu
2022	J	`jnl`	A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices. IEEE Trans. Big Data Ye Yuan, Qiang He, Xin Luo, Mingsheng Shang
2022	J	`jnl`	A Posterior-Neighborhood-Regularized Latent Factor Model for Highly Accurate Web Service QoS Prediction. IEEE Trans. Serv. Comput. Di Wu, Qiang He, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang
2022	J	`jnl`	A structure-characteristic-aware network embedding model via differential evolution. Expert Syst. Appl. Xiaoyu Xu, Di Wu, Mingsheng Shang
2022	J	`jnl`	Adjusted stochastic gradient descent for latent factor analysis. Inf. Sci. Qing Li, Diwen Xiong, Mingsheng Shang
2022	J	`jnl`	An L IEEE Trans. Neural Networks Learn. Syst. Di Wu, Mingsheng Shang, Xin Luo, Zidong Wang
2022	J	`jnl`	An efficient annealing-assisted differential evolution for multi-parameter adaptive latent factor analysis. J. Big Data Qing Li, Guansong Pang, Mingsheng Shang
2022	J	`jnl`	An α-β-Divergence-Generalized Recommender for Highly Accurate Predictions of Missing User Preferences. IEEE Trans. Cybern. Mingsheng Shang, Ye Yuan, Xin Luo, MengChu Zhou
2022	B	`conf`	Aspect-aware Asymmetric Representation Learning Network for Review-based Recommendation. IJCNN Hao Liu, Hezhe Qiao, Xiaoyu Shi, Mingsheng Shang
2022	B	`conf`	Attention Auxiliary Spatial Fusion for Pedestrian Attribute Recognition. SMC Meijun Luo, Lin Chen, Yunni Xia, Mingsheng Shang
2022	J	`jnl`	Computational Neural Dynamics Model for Time-Variant Constrained Nonlinear Optimization Applied to Winner-Take-All Operation. IEEE Trans. Ind. Informatics Mei Liu, Xiaoyan Zhang, Mingsheng Shang
2022	J	`jnl`	Distributed Competition of Multi-Robot Coordination Under Variable and Switching Topologies. IEEE Trans Autom. Sci. Eng. Long Jin, Yimeng Qi, Xin Luo, Shuai Li, Mingsheng Shang
2022	J	`jnl`	Gradient-Based Differential $k\text{WTA}$ Network With Application to Competitive Coordination of Multiple Robots. IEEE CAA J. Autom. Sinica Mei Liu, Xiaoyan Zhang, Mingsheng Shang, Long Jin
2022	J	`jnl`	Joint hyperbolic and Euclidean geometry contrastive graph neural networks. Inf. Sci. Xiaoyu Xu, Guansong Pang, Di Wu, Mingsheng Shang
2022	J	`jnl`	Large-Scale and Scalable Latent Factor Analysis via Distributed Alternative Stochastic Gradient Descent for Recommender Systems. IEEE Trans. Big Data Xiaoyu Shi, Qiang He, Xin Luo, Yanan Bai, Mingsheng Shang
2022	J	`jnl`	Lower limb movement intention recognition for rehabilitation robot aided with projected recurrent neural network. Complex Intell. Syst. Mei Liu, Bo Peng, Mingsheng Shang
2022	J	`jnl`	MCFL: multi-label contrastive focal loss for deep imbalanced pedestrian attribute recognition. Neural Comput. Appl. Lin Chen, Jingkuan Song, Xuerui Zhang, Mingsheng Shang
2022	J	`jnl`	Momentum-Incorporated Symmetric Non-Negative Latent Factor Models. IEEE Trans. Big Data Yurong Zhong, Long Jin, Mingsheng Shang, Xin Luo
2022	J	`jnl`	On RNN-Based $k$-WTA Models With Time-Dependent Inputs. IEEE CAA J. Autom. Sinica Mei Liu, Mingsheng Shang
2022	A	`conf`	Performance and Cost-Aware Task Scheduling via Deep Reinforcement Learning in Cloud Environment. ICSOC Zihui Zhao, Xiaoyu Shi, Mingsheng Shang
2022	J	`jnl`	Real-time cooperative kinematic control for multiple robots in distributed scenarios with dynamic neural networks. Neurocomputing Mei Liu, Jiazheng Zhang, Mingsheng Shang
2022	—	`conf`	Toward Auto-Learning Hyperparameters for Deep Learning-Based Recommender Systems. DASFAA (2) Bo Sun, Di Wu, Mingsheng Shang, Yi He
2022	A*	`conf`	Zero Stability Well Predicts Performance of Convolutional Neural Networks. AAAI Liangming Chen, Long Jin, Mingsheng Shang
2022	J	`jnl`	Zero Stability Well Predicts Performance of Convolutional Neural Networks. CoRR Liangming Chen, Long Jin, Mingsheng Shang
2021	J	`jnl`	A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems. IEEE Trans. Syst. Man Cybern. Syst. Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, MengChu Zhou
2021	J	`jnl`	A Fast Non-Negative Latent Factor Model Based on Generalized Momentum Method. IEEE Trans. Syst. Man Cybern. Syst. Xin Luo, Zhigang Liu, Shuai Li, Mingsheng Shang, Zidong Wang
2021	J	`jnl`	Activated Gradients for Deep Neural Networks. CoRR Mei Liu, Liangming Chen, Xiaohao Du, Long Jin, Mingsheng Shang
2021	J	`jnl`	Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems. IEEE Trans. Big Data Xin Luo, MengChu Zhou, Shuai Li, Di Wu, Zhigang Liu, Mingsheng Shang
2021	J	`jnl`	An Instance-Frequency-Weighted Regularization Scheme for Non-Negative Latent Factor Analysis on High-Dimensional and Sparse Data. IEEE Trans. Syst. Man Cybern. Syst. Xin Luo, Zidong Wang, Mingsheng Shang
2021	J	`jnl`	BALFA: A brain storm optimization-based adaptive latent factor analysis model. Inf. Sci. Qing Li, Mingsheng Shang
2021	—	`conf`	Chronic Disease Detection Via Non-negative Latent Feature Analysis. ICNSC Leming Zhou, Qing Li, Mingsheng Shang
2021	J	`jnl`	Dynamical Conventional Neural Network Channel Pruning by Genetic Wavelet Channel Search for Image Classification. Frontiers Comput. Neurosci. Lin Chen, Saijun Gong, Xiaoyu Shi, Mingsheng Shang
2021	J	`jnl`	Highly-Accurate Community Detection via Pointwise Mutual Information-Incorporated Symmetric Non-Negative Matrix Factorization. IEEE Trans. Netw. Sci. Eng. Xin Luo, Zhigang Liu, Mingsheng Shang, Jungang Lou, MengChu Zhou
2021	B	`conf`	Improving Pedestrian Attribute Recognition with Multi-Scale Spatial Calibration. IJCNN Jiabao Zhong, Hezhe Qiao, Lin Chen, Mingsheng Shang, Qun Liu
2021	J	`jnl`	Multi-robot competitive tracking based on Neurocomputing Bo Peng, Long Jin, Mingsheng Shang
2021	J	`jnl`	Non-Negative Latent Factor Model Based on β-Divergence for Recommender Systems. IEEE Trans. Syst. Man Cybern. Syst. Xin Luo, Ye Yuan, MengChu Zhou, Zhigang Liu, Mingsheng Shang
2021	—	`conf`	RoboNet: a Neural Network Based Kinematic Parameter Identification Model. ICNSC Diwen Xiong, Mingsheng Shang
2021	J	`jnl`	The Stock Market Model with Delayed Information Impact from a Socioeconomic View. Entropy Zhiting Wang, Guiyuan Shi, Mingsheng Shang, Yuxia Zhang
2021	—	`conf`	UEIN: A User Evolving Interests Network for Click-Through Rate Prediction. BigDataSE Jianxiong Xu, Xiaoyu Shi, Hezhe Qiao, Mingsheng Shang, Xianbo He, Qingyu He
2020	—	`conf`	A Clustering-Based Collaborative Filtering Recommendation Algorithm via Deep Learning User Side Information. WISE (2) Chonghao Zhao, Xiaoyu Shi, Mingsheng Shang, Yiqiu Fang
2020	B	`conf`	A Compressed Sensing and Porous 9-7 Wavelet Transform-based Image Fusion Algorithm. SMC Qing Li, Mingsheng Shang
2020	A*	`conf`	A Generalized and Fast-converging Non-negative Latent Factor Model for Predicting User Preferences in Recommender Systems. WWW Ye Yuan, Xin Luo, Mingsheng Shang, Di Wu
2020	B	`conf`	Diversity-Aware Top-N Recommendation: A Deep Reinforcement Learning Way. Big Data (CCF) Tao Wang, Xiaoyu Shi, Mingsheng Shang
2020	J	`jnl`	Non-Negativity Constrained Missing Data Estimation for High-Dimensional and Sparse Matrices from Industrial Applications. IEEE Trans. Cybern. Xin Luo, MengChu Zhou, Shuai Li, Lun Hu, Mingsheng Shang
2020	J	`jnl`	TempNodeEmb: Temporal Node Embedding considering temporal edge influence matrix. CoRR Khushnood Abbas, Alireza Abbasi, Shi Dong, Niu Ling, Mingsheng Shang, Chen Liong, Bolun Chen
2020	A	`conf`	Temporal Web Service QoS Prediction via Kalman Filter-Incorporated Latent Factor Analysis. ECAI Ye Yuan, Mingsheng Shang, Xin Luo
2019	—	`conf`	A Data-Aware Latent Factor Model for Web Service QoS Prediction. PAKDD (1) Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, Xindong Wu
2019	—	`conf`	A Deep Self-learning Classification Framework for Incomplete Medical Patents with Multi-label. ICNC-FSKD Mengzhen Luo, Xiaoyu Shi, Qianqian Ji, Mingsheng Shang, Xianbo He, Weiguo Tao
2019	—	`conf`	A Deep Temporal Collaborative Filtering Recommendation Framework via Joint Learning from Long and Short-Term Effects. ISPA/BDCloud/SocialCom/SustainCom Qianqian Ji, Xiaoyu Shi, Mingsheng Shang
2019	B	`conf`	A Fast Autoencoder-based Recommender. SMC Jiajia Jiang, Yunni Xia, Mingsheng Shang
2019	J	`jnl`	A momentum-incorporated latent factorization of tensors model for temporal-aware QoS missing data prediction. Neurocomputing Qingxian Wang, Minzhi Chen, Mingsheng Shang, Xin Luo
2019	J	`jnl`	DCCR: Deep Collaborative Conjunctive Recommender for Rating Prediction. IEEE Access Qingxian Wang, Binbin Peng, Xiaoyu Shi, Tianqi Shang, Mingsheng Shang
2019	—	`conf`	Online Feature Selection with Capricious Streaming Features: A General Framework. IEEE BigData Di Wu, Yi He, Xin Luo, Mingsheng Shang, Xindong Wu
2019	—	`conf`	Random Forest-Based Ensemble Estimator for Concrete Compressive Strength Prediction via AdaBoost Method. ICNC-FSKD Yuanxin Lv, Xiaoyu Shi, Longyu Ran, Mingsheng Shang
2019	J	`jnl`	Randomized latent factor model for high-dimensional and sparse matrices from industrial applications. IEEE CAA J. Autom. Sinica Mingsheng Shang, Xin Luo, Zhigang Liu, Jia Chen, Ye Yuan, MengChu Zhou
2019	—	`conf`	SLAs-Aware Online Task Scheduling Based on Deep Reinforcement Learning Method in Cloud Environment. HPCC/SmartCity/DSS Longyu Ran, Xiaoyu Shi, Mingsheng Shang
2018	J	`jnl`	A Highly Accurate Framework for Self-Labeled Semisupervised Classification in Industrial Applications. IEEE Trans. Ind. Informatics Di Wu, Xin Luo, Guoyin Wang, Mingsheng Shang, Ye Yuan, Huyong Yan
2018	—	`conf`	A self-training semi-supervised classification algorithm based on density peaks of data and differential evolution. ICNSC Di Wu, Mingsheng Shang, Guoyin Wang, Li Li
2018	B	`conf`	Accelerated Non-negative Latent Factor Analysis on High-Dimensional and Sparse Matrices via Generalized Momentum Method. SMC Zhigang Liu, Xin Luo, Shuai Li, Mingsheng Shang
2018	J	`jnl`	An Inherently Nonnegative Latent Factor Model for High-Dimensional and Sparse Matrices from Industrial Applications. IEEE Trans. Ind. Informatics Xin Luo, MengChu Zhou, Shuai Li, Mingsheng Shang
2018	—	`conf`	Autonomic performance management of cloud server based on adaptive control method. ICNSC Xiaoyu Shi, Mingsheng Shang, Wenhong Tian, Khushnood Abbas, Shuai Wang, Tianshu Wu
2018	J	`jnl`	Effects of preprocessing and training biases in latent factor models for recommender systems. Neurocomputing Ye Yuan, Xin Luo, Mingsheng Shang
2018	B	`conf`	Fully Convolutional Neural Networks for Tissue Histopathology Image Classification and Segmentation. ICIP Binbin Peng, Lin Chen, Mingsheng Shang, Jianjun Xu
2018	J	`jnl`	Incremental Slope-one recommenders. Neurocomputing Qing-Xian Wang, Xin Luo, Yan Li, Xiaoyu Shi, Liang Gu, Mingsheng Shang
2018	J	`jnl`	On minimizing total energy consumption in the scheduling of virtual machine reservations. J. Netw. Comput. Appl. Wenhong Tian, Majun He, Wenxia Guo, Wenqiang Huang, Xiaoyu Shi, Mingsheng Shang, Adel Nadjaran Toosi, Rajkumar Buyya
2018	J	`jnl`	Self-training semi-supervised classification based on density peaks of data. Neurocomputing Di Wu, Mingsheng Shang, Xin Luo, Ji Xu, Huyong Yan, Weihui Deng, Guoyin Wang
2018	—	`conf`	TCR: Temporal-CNN for Reviews Based Recommendation System. ICDLT Yelu Mao, Xiaoyu Shi, Mingsheng Shang, Ying Zhang
2017	B	`conf`	A dynamic neural controller for adaptive optimal control of permanent magnet DC motors. IJCNN Yinyan Zhang, Shuai Li, Xin Luo, Mingsheng Shang
2017	—	`conf`	Effect of linear biases in latent factor models on high-dimensional and sparse matrices from recommender systems. ICNSC Ye Yuan, Xin Luo, Mingsheng Shang, Xin-Yi Cai
2017	—	`conf`	Empirical analysis of collaborative filtering-based recommenders in temporally evolving systems. ICNSC Xiaoyu Shi, Xin Luo, Mingsheng Shang, Xin-Yi Cai
2017	—	`conf`	Experiments on Neighborhood Combination Strategies for Bi-objective Unconstrained Binary Quadratic Programming Problem. PAAP Li-Yuan Xue, Rong-Qiang Zeng, Wei An, Qing-Xian Wang, Mingsheng Shang
2017	J	`jnl`	Long-term performance of collaborative filtering based recommenders in temporally evolving systems. Neurocomputing Xiaoyu Shi, Xin Luo, Mingsheng Shang, Liang Gu
2017	B	`conf`	Nonlinearly-activated noise-tolerant zeroing neural network for distributed motion planning of multiple robot arms. IJCNN Long Jin, Shuai Li, Xin Luo, Mingsheng Shang
2017	J	`jnl`	Performance of latent factor models with extended linear biases. Knowl. Based Syst. Jia Chen, Xin Luo, Ye Yuan, Mingsheng Shang, Zhong Ming, Zhang Xiong
2017	A*	`conf`	Symmetric Non-negative Latent Factor Models for Undirected Large Networks. IJCAI Xin Luo, Mingsheng Shang
2017	J	`jnl`	Symmetric and Nonnegative Latent Factor Models for Undirected, High-Dimensional, and Sparse Networks in Industrial Applications. IEEE Trans. Ind. Informatics Xin Luo, Jianpei Sun, Zidong Wang, Shuai Li, Mingsheng Shang
2016	—	`conf`	A Multi-parent Crossover Based Genetic Algorithm for Bi-Objective Unconstrained Binary Quadratic Programming Problem. BIC-TA (2) Chao Huo, Rong-Qiang Zeng, Yang Wang, Mingsheng Shang
2016	J	`jnl`	A Novel Approach to Extracting Non-Negative Latent Factors From Non-Negative Big Sparse Matrices. IEEE Access Xin Luo, MengChu Zhou, Mingsheng Shang, Shuai Li, Yunni Xia
2016	C	`conf`	An Effective Genetic Algorithm with Uniform Crossover for Bi-objective Unconstrained Binary Quadratic Programming Problem. IDEAL Chao Huo, Rong-Qiang Zeng, Yang Wang, Mingsheng Shang
2016	—	`conf`	Discovering Items with Potential Popularity on Social Media. DASC/PiCom/DataCom/CyberSciTech Khushnood Abbas, Xin Luo, Mingsheng Shang
2016	J	`jnl`	Discovering items with potential popularity on social media. CoRR Khushnood Abbas, Mingsheng Shang, Xin Luo
2016	A*	`conf`	Efficient Extraction of Non-negative Latent Factors from High-Dimensional and Sparse Matrices in Industrial Applications. ICDM Xin Luo, Mingsheng Shang, Shuai Li
2016	J	`jnl`	Identifying emerging influential Nodes in evolving networks: Exploiting strength of weak nodes. CoRR Khushnood Abbas, Mingsheng Shang, Shi-Min Cai, Xiaoyu Shi
2016	—	`conf`	Solving Bi-objective Unconstrained Binary Quadratic Programming Problem with Multi-objective Backbone Guided Search Algorithm. ICIC (2) Li-Yuan Xue, Rong-Qiang Zeng, Yang Wang, Mingsheng Shang
2016	—	`conf`	Solving bi-objective unconstrained binary quadratic programming problem with multi-objective path relinking algorithm. ICNC-FSKD Lei Song, Rong-Qiang Zeng, Yang Wang, Mingsheng Shang
2015	J	`jnl`	A Fast Recommendation Algorithm for Social Tagging Systems : A Delicious Case. CoRR Yao-Dong Zhao, Shi-Min Cai, Ming Tang, Mingsheng Shang
2015	J	`jnl`	A hybrid cognitive assessment based on ontology knowledge map and skills. Knowl. Based Syst. Xiuqin Zhong, Hongguang Fu, Huadong Xia, Leina Yang, Mingsheng Shang
2015	J	`jnl`	Group-based ranking method for online rating systems with spamming attacks. CoRR Jian Gao, Yu-Wei Dong, Mingsheng Shang, Shi-Min Cai, Tao Zhou
2014	J	`jnl`	Recommendation algorithm based on item quality and user rating preferences. Frontiers Comput. Sci. Yuan Guan, Shimin Cai, Mingsheng Shang
2012	C	`conf`	A Hybrid Decision Approach to Detect Profile Injection Attacks in Collaborative Recommender Systems. ISMIS Sheng Huang, Mingsheng Shang, Shimin Cai
2012	J	`jnl`	Variability of Contact Process in Complex Networks CoRR Kai Gong, Ming Tang, Hui Yang, Mingsheng Shang
2010	—	`conf`	An Evaluation of Structure Based Similarity Indexes for Collaborative Filtering. WKDD Yong Chen, Mingsheng Shang
2010	J	`jnl`	An efficient heuristic algorithm for arbitrary shaped rectilinear block packing problem. Comput. Oper. Res. Duanbing Chen, Jingfa Liu, Yan Fu, Mingsheng Shang
2010	—	`conf`	User-Based Collaborative-Filtering Recommendation Algorithms on Hadoop. WKDD Zhi-Dan Zhao, Mingsheng Shang
2009	—	`conf`	Personal Recommendation Based on Weighted Bipartite Networks. FSKD (5) Jie Liu, Mingsheng Shang, Duanbing Chen