Power-efficient resource management for co-located virtualized web servers: A stochastic control approach. - Xiaoyu Shi 001; Jin Dong; Seddik M. Djouadi; Yefu Wang; Xiao Ma 008; Yong Feng (IGCC, 2014)

Power-aware performance management of virtualized enterprise servers via robust adaptive control. - Xiaoyu Shi 001; Christopher A. Briere; Seddik M. Djouadi; Yefu Wang; Yong Feng (Clust. Comput., 2015)

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)

PAPMSC: Power-Aware Performance Management Approach for Virtualized Web Servers via Stochastic Control. - Xiaoyu Shi 001; Jin Dong; Seddik M. Djouadi; Yong Feng; Xiao Ma 008; Yefu Wang (J. Grid Comput., 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)

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)

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

Incremental Slope-one recommenders. - Qing-Xian Wang 001; Xin Luo 001; Yan Li; Xiaoyu Shi 001; Liang Gu; 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)

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)

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

Elastic-net regularized latent factor analysis-based models for recommender systems. - Dexian Wang 004; Yanbin Chen; Junxiao Guo; Xiaoyu Shi 001; Chunlin He; Xin Luo 001; Huaqiang Yuan (Neurocomputing, 2019)

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

seIMC: A GSW-Based Secure and Efficient Integer Matrix Computation Scheme With Implementation. - Yanan Bai; Xiaoyu Shi 001; Wenyuan Wu; Jingwei Chen; Yong Feng (IEEE Access, 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)

Siamese Generative Adversarial Predicting Network for Extremely Sparse Data in Recommendation System. - Qingxian Wang 001; Renjian Zhang; Kangkang Ma; Bo Chen; Jiufang Chen; Xiaoyu Shi 001 (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Joint Modeling Dynamic Preferences of Users and Items Using Reviews for Sequential Recommendation. - Tianqi Shang; Xinxin Li; Xiaoyu Shi 001; Qingxian Wang 001 (PAKDD (2), 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)

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)

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)

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

ESOA Algorithm Based on learning rate optimization in Convolutional neural networks. - Peiyang Wei; Xiaoyu Shi 001; Jiesan Zhou (ICDM (Workshops), 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)

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)

Neighbor importance-aware graph collaborative filtering for item recommendation. - Qingxian Wang 001; Suqiang Wu; Yanan Bai; Quanliang Liu; Xiaoyu Shi 001 (Neurocomputing, 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)

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)

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)

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)

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)

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)

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

Towards practical and privacy-preserving CNN inference service for cloud-based medical imaging analysis: A homomorphic encryption-based approach. - Yanan Bai; Hongbo Zhao; Xiaoyu Shi 001; Lin Chen 023 (Comput. Methods Programs Biomed., 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)

Tca4rec: contrastive learning with popularity-aware asymmetric augmentation for robust sequential recommendation. - Yanan Bai; Liji Xiao; Chongjun Xia; Kexiang Zeng; Xiaoyu Shi 001 (J. Big Data, 2025)