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Xiaoyu Shi 0001
Person information
- affiliation: Chinese Academy of Sciences, Chongqing Institute of Green and Intelligent Technology, Key Laboratory of Big Data and Intelligent Computing, Chongqing, China
Other persons with the same name
- Xiaoyu Shi (aka: Xiao-Yu Shi) — disambiguation page
- Xiaoyu Shi 0002 — Chinese University of Hong Kong, Multimedia Laboratory, Hong Kong
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2020 – today
- 2024
- [j19]Haoran Gu, Yunni Xia, Hong Xie, Xiaoyu Shi, Mingsheng Shang:
Robust and efficient algorithms for conversational contextual bandit. Inf. Sci. 657: 119993 (2024) - [j18]Tao Tan, Hong Xie, Yunni Xia, Xiaoyu Shi, Mingsheng Shang:
Asynchronous SGD with stale gradient dynamic adjustment for deep learning training. Inf. Sci. 681: 121220 (2024) - [j17]Tao Tan, Hong Xie, Yunni Xia, Xiaoyu Shi, Mingsheng Shang:
Adaptive moving average Q-learning. Knowl. Inf. Syst. 66(12): 7389-7417 (2024) - [j16]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): 795-808 (2024) - [j15]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): 52:1-52:30 (2024) - [j14]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): 1029-1043 (2024) - [c21]Chongjun Xia, Xiaoyu Shi, Hong Xie, Quanliang Liu, Mingsheng Shang:
Hierarchical Reinforcement Learning for Long-term Fairness in Interactive Recommendation. ICWS 2024: 300-309 - 2023
- [j13]Xiaoyu Xu, Xiaoyu Shi, Mingsheng Shang:
Graph neural networks via contrast between separation and aggregation for self and neighborhood. Expert Syst. Appl. 224: 119994 (2023) - [j12]Qingxian Wang, Suqiang Wu, Yanan Bai, Quanliang Liu, Xiaoyu Shi:
Neighbor importance-aware graph collaborative filtering for item recommendation. Neurocomputing 549: 126429 (2023) - [j11]Xiaoyu Shi, Quanliang Liu, Yanan Bai, Mingsheng Shang:
RTiSR: a review-driven time interval-aware sequential recommendation method. J. Big Data 10(1) (2023) - [c20]Kexiang Zeng, Xiaoyu Shi, Hong Xie, Mingsheng Shang:
Contrastive Learning based Item Representation with Asymmetric Augmentation for Sequential Recommendation. ADMIT 2023: 68-73 - [c19]Bingchao Wang, Xiaoyu Shi, Mingsheng Shang:
A Self-decoupled Interpretable Prediction Framework for Highly-Variable Cloud Workloads. DASFAA (1) 2023: 588-603 - [c18]Peiyang Wei, Xiaoyu Shi, Jiesan Zhou:
ESOA Algorithm Based on learning rate optimization in Convolutional neural networks. ICDM (Workshops) 2023: 435-439 - [c17]Xiaoyu Shi, Quanliang Liu, Hong Xie, Mingsheng Shang:
Towards Long-term Fairness in Interactive Recommendation: A Maximum Entropy Reinforcement Learning Approach. ICWS 2023: 118-123 - [c16]Jinyu Mo, Hong Xie, Xiaoyu Shi, Mingsheng Shang:
CGCCMR: An Enhanced Multi-gate Model for Cross-Market Recommendation. IJCNN 2023: 1-8 - 2022
- [j10]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): 420-431 (2022) - [c15]Zihui Zhao, Xiaoyu Shi, Mingsheng Shang:
Performance and Cost-Aware Task Scheduling via Deep Reinforcement Learning in Cloud Environment. ICSOC 2022: 600-615 - [c14]Hao Liu, Hezhe Qiao, Xiaoyu Shi, Mingsheng Shang:
Aspect-aware Asymmetric Representation Learning Network for Review-based Recommendation. IJCNN 2022: 1-8 - 2021
- [j9]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: 760554 (2021) - [c13]Jianxiong Xu, Xiaoyu Shi, Hezhe Qiao, Mingsheng Shang, Xianbo He, Qingyu He:
UEIN: A User Evolving Interests Network for Click-Through Rate Prediction. BigDataSE 2021: 34-41 - [c12]Qingxian Wang, Renjian Zhang, Kangkang Ma, Bo Chen, Jiufang Chen, Xiaoyu Shi:
Siamese Generative Adversarial Predicting Network for Extremely Sparse Data in Recommendation System. ISPA/BDCloud/SocialCom/SustainCom 2021: 1236-1241 - [c11]Tianqi Shang, Xinxin Li, Xiaoyu Shi, Qingxian Wang:
Joint Modeling Dynamic Preferences of Users and Items Using Reviews for Sequential Recommendation. PAKDD (2) 2021: 524-536 - 2020
- [j8]Yanan Bai, Xiaoyu Shi, Wenyuan Wu, Jingwei Chen, Yong Feng:
seIMC: A GSW-Based Secure and Efficient Integer Matrix Computation Scheme With Implementation. IEEE Access 8: 98383-98394 (2020) - [c10]Tao Wang, Xiaoyu Shi, Mingsheng Shang:
Diversity-Aware Top-N Recommendation: A Deep Reinforcement Learning Way. Big Data (CCF) 2020: 226-241 - [c9]Chonghao Zhao, Xiaoyu Shi, Mingsheng Shang, Yiqiu Fang:
A Clustering-Based Collaborative Filtering Recommendation Algorithm via Deep Learning User Side Information. WISE (2) 2020: 331-342
2010 – 2019
- 2019
- [j7]Qingxian Wang, Binbin Peng, Xiaoyu Shi, Tianqi Shang, Mingsheng Shang:
DCCR: Deep Collaborative Conjunctive Recommender for Rating Prediction. IEEE Access 7: 60186-60198 (2019) - [j6]Dexian Wang, Yanbin Chen, Junxiao Guo, Xiaoyu Shi, Chunlin He, Xin Luo, Huaqiang Yuan:
Elastic-net regularized latent factor analysis-based models for recommender systems. Neurocomputing 329: 66-74 (2019) - [c8]Longyu Ran, Xiaoyu Shi, Mingsheng Shang:
SLAs-Aware Online Task Scheduling Based on Deep Reinforcement Learning Method in Cloud Environment. HPCC/SmartCity/DSS 2019: 1518-1525 - [c7]Yuanxin Lv, Xiaoyu Shi, Longyu Ran, Mingsheng Shang:
Random Forest-Based Ensemble Estimator for Concrete Compressive Strength Prediction via AdaBoost Method. ICNC-FSKD 2019: 557-565 - [c6]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: 566-573 - [c5]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: 959-966 - 2018
- [j5]Qing-Xian Wang, Xin Luo, Yan Li, Xiaoyu Shi, Liang Gu, Mingsheng Shang:
Incremental Slope-one recommenders. Neurocomputing 272: 606-618 (2018) - [j4]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: 64-74 (2018) - [c4]Yelu Mao, Xiaoyu Shi, Mingsheng Shang, Ying Zhang:
TCR: Temporal-CNN for Reviews Based Recommendation System. ICDLT 2018: 71-75 - [c3]Xiaoyu Shi, Mingsheng Shang, Wenhong Tian, Khushnood Abbas, Shuai Wang, Tianshu Wu:
Autonomic performance management of cloud server based on adaptive control method. ICNSC 2018: 1-6 - 2017
- [j3]Xiaoyu Shi, Xin Luo, Mingsheng Shang, Liang Gu:
Long-term performance of collaborative filtering based recommenders in temporally evolving systems. Neurocomputing 267: 635-643 (2017) - [c2]Xiaoyu Shi, Xin Luo, Mingsheng Shang, Xin-Yi Cai:
Empirical analysis of collaborative filtering-based recommenders in temporally evolving systems. ICNSC 2017: 406-412 - 2016
- [j2]Xiaoyu Shi, Jin Dong, Seddik M. Djouadi, Yong Feng, Xiao Ma, Yefu Wang:
PAPMSC: Power-Aware Performance Management Approach for Virtualized Web Servers via Stochastic Control. J. Grid Comput. 14(1): 171-191 (2016) - [i1]Khushnood Abbas, Mingsheng Shang, Shi-Min Cai, Xiaoyu Shi:
Identifying emerging influential Nodes in evolving networks: Exploiting strength of weak nodes. CoRR abs/1609.01357 (2016) - 2015
- [j1]Xiaoyu Shi, Christopher A. Briere, Seddik M. Djouadi, Yefu Wang, Yong Feng:
Power-aware performance management of virtualized enterprise servers via robust adaptive control. Clust. Comput. 18(1): 419-433 (2015) - 2014
- [c1]Xiaoyu Shi, Jin Dong, Seddik M. Djouadi, Yefu Wang, Xiao Ma, Yong Feng:
Power-efficient resource management for co-located virtualized web servers: A stochastic control approach. IGCC 2014: 1-9
Coauthor Index
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last updated on 2024-12-13 19:13 CET by the dblp team
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