Xiaoyu Shi - RankMe

52 papers A* 1A 3B 3Journal 30Unranked 15

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`	DPRO-GNN: Bridging differential privacy and advanced optimization for privacy-preserving graph learning. Inf. Sci. Yanan Bai, Liji Xiao, Hongbo Zhao, Xiaoyu Shi
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	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	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	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`	Tca4rec: contrastive learning with popularity-aware asymmetric augmentation for robust sequential recommendation. J. Big Data Yanan Bai, Liji Xiao, Chongjun Xia, Kexiang Zeng, Xiaoyu Shi
2025	J	`jnl`	Towards practical and privacy-preserving CNN inference service for cloud-based medical imaging analysis: A homomorphic encryption-based approach. Comput. Methods Programs Biomed. Yanan Bai, Hongbo Zhao, Xiaoyu Shi, 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`	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	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`	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
2023	—	`conf`	A Self-decoupled Interpretable Prediction Framework for Highly-Variable Cloud Workloads. DASFAA (1) Bingchao Wang, Xiaoyu Shi, 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	—	`conf`	ESOA Algorithm Based on learning rate optimization in Convolutional neural networks. ICDM (Workshops) Peiyang Wei, Xiaoyu Shi, Jiesan Zhou
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`	Neighbor importance-aware graph collaborative filtering for item recommendation. Neurocomputing Qingxian Wang, Suqiang Wu, Yanan Bai, Quanliang Liu, Xiaoyu Shi
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	B	`conf`	Aspect-aware Asymmetric Representation Learning Network for Review-based Recommendation. IJCNN Hao Liu, Hezhe Qiao, Xiaoyu Shi, 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	A	`conf`	Performance and Cost-Aware Task Scheduling via Deep Reinforcement Learning in Cloud Environment. ICSOC Zihui Zhao, Xiaoyu Shi, 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	—	`conf`	Joint Modeling Dynamic Preferences of Users and Items Using Reviews for Sequential Recommendation. PAKDD (2) Tianqi Shang, Xinxin Li, Xiaoyu Shi, Qingxian Wang
2021	—	`conf`	Siamese Generative Adversarial Predicting Network for Extremely Sparse Data in Recommendation System. ISPA/BDCloud/SocialCom/SustainCom Qingxian Wang, Renjian Zhang, Kangkang Ma, Bo Chen, Jiufang Chen, Xiaoyu Shi
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`	Diversity-Aware Top-N Recommendation: A Deep Reinforcement Learning Way. Big Data (CCF) Tao Wang, Xiaoyu Shi, Mingsheng Shang
2020	J	`jnl`	seIMC: A GSW-Based Secure and Efficient Integer Matrix Computation Scheme With Implementation. IEEE Access Yanan Bai, Xiaoyu Shi, Wenyuan Wu, Jingwei Chen, Yong Feng
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	J	`jnl`	DCCR: Deep Collaborative Conjunctive Recommender for Rating Prediction. IEEE Access Qingxian Wang, Binbin Peng, Xiaoyu Shi, Tianqi Shang, Mingsheng Shang
2019	J	`jnl`	Elastic-net regularized latent factor analysis-based models for recommender systems. Neurocomputing Dexian Wang, Yanbin Chen, Junxiao Guo, Xiaoyu Shi, Chunlin He, Xin Luo, Huaqiang Yuan
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	—	`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	—	`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`	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	—	`conf`	TCR: Temporal-CNN for Reviews Based Recommendation System. ICDLT Yelu Mao, Xiaoyu Shi, Mingsheng Shang, Ying Zhang
2017	—	`conf`	Empirical analysis of collaborative filtering-based recommenders in temporally evolving systems. ICNSC Xiaoyu Shi, Xin Luo, Mingsheng Shang, Xin-Yi Cai
2017	J	`jnl`	Long-term performance of collaborative filtering based recommenders in temporally evolving systems. Neurocomputing Xiaoyu Shi, Xin Luo, Mingsheng Shang, Liang Gu
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	J	`jnl`	PAPMSC: Power-Aware Performance Management Approach for Virtualized Web Servers via Stochastic Control. J. Grid Comput. Xiaoyu Shi, Jin Dong, Seddik M. Djouadi, Yong Feng, Xiao Ma, Yefu Wang
2015	J	`jnl`	Power-aware performance management of virtualized enterprise servers via robust adaptive control. Clust. Comput. Xiaoyu Shi, Christopher A. Briere, Seddik M. Djouadi, Yefu Wang, Yong Feng
2014	—	`conf`	Power-efficient resource management for co-located virtualized web servers: A stochastic control approach. IGCC Xiaoyu Shi, Jin Dong, Seddik M. Djouadi, Yefu Wang, Xiao Ma, Yong Feng