中国科学院重庆绿色智能技术研究院机构知识库

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已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择期刊影响因子升序期刊影响因子降序作者升序作者降序题名升序题名降序WOS被引频次升序WOS被引频次降序发表日期升序发表日期降序提交时间升序提交时间降序
	Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach 期刊论文 ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2024, 卷号: 42, 期号: 2, 页码: 30 作者:  Shi, Xiaoyu;  Liu, Quanliang;  Xie, Hong;  Wu, Di;  Peng, Bo;  Shang, Mingsheng;  Lian, Defu 收藏  |  浏览/下载：189/0  |  提交时间：2024/04/07 Interactive recommendation  popularity bias  item fairness  reinfor cement learning
	Hyperparameter Learning for Deep Learning-Based Recommender Systems 期刊论文 IEEE TRANSACTIONS ON SERVICES COMPUTING, 2023, 卷号: 16, 期号: 4, 页码: 2699-2712 作者:  Wu, Di;  Sun, Bo;  Shang, Mingsheng 收藏  |  浏览/下载：12/0  |  提交时间：2023/12/25 Terms-Deep learning  differential evolution  grid search  hyperparameter tuning  online services  recommender systems
	A Double-Space and Double-Norm Ensembled Latent Factor Model for Highly Accurate Web Service QoS Prediction 期刊论文 IEEE TRANSACTIONS ON SERVICES COMPUTING, 2023, 卷号: 16, 期号: 2, 页码: 802-814 作者:  Wu, Di;  Zhang, Peng;  He, Yi;  Luo, Xin 收藏  |  浏览/下载：11/0  |  提交时间：2023/12/25 Web service  service selection  Quality-of-Service (QoS)  latent factor analysis  missing data prediction  big data
	A Quantitative Risk Assessment Model for Distribution Cyber-Physical System Under Cyberattack 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 卷号: 19, 期号: 3, 页码: 2899-2908 作者:  Deng, Song;  Zhang, Jiantang;  Wu, Di;  He, Yi;  Xie, Xiangpeng;  Wu, Xindong 收藏  |  浏览/下载：13/0  |  提交时间：2023/12/25 Risk management  Security  Load modeling  Cyberattack  Mathematical models  Distribution networks  Bayes methods  distribution cyber-physical system (DCPS)  infectious disease model  load loss  risk assessment
	Joint hyperbolic and Euclidean geometry contrastive graph neural networks 期刊论文 INFORMATION SCIENCES, 2022, 卷号: 609, 页码: 799-815 作者:  Xu, Xiaoyu;  Pang, Guansong;  Wu, Di;  Shang, Mingsheng 收藏  |  浏览/下载：99/0  |  提交时间：2022/10/14 Graph neural networks  Hyperbolic embedding  Contrastive learning  Graph representation learning
	Quantitative combination load forecasting model based on forecasting error optimization 期刊论文 COMPUTERS & ELECTRICAL ENGINEERING, 2022, 卷号: 101, 页码: 11 作者:  Deng, Song;  Chen, Fulin;  Wu, Di;  He, Yi;  Ge, Hui;  Ge, Yuan 收藏  |  浏览/下载：43/0  |  提交时间：2022/08/22 Gene expression programming  Data noise reduction  Load forecasting error  Combination load forecasting
	A Data-Characteristic-Aware Latent Factor Model for Web Services QoS Prediction 期刊论文 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2022, 卷号: 34, 期号: 6, 页码: 2525-2538 作者:  Wu, Di;  Luo, Xin;  Shang, Mingsheng;  He, Yi;  Wang, Guoyin;  Wu, Xindong 收藏  |  浏览/下载：67/0  |  提交时间：2022/08/22 Web Service  quality-of-service  QoS  latent factor analysis  density peak  data-characteristic-aware  missing data  big data  topological neighborhood  noise data  service selection  data science
	A Posterior-Neighborhood-Regularized Latent Factor Model for Highly Accurate Web Service QoS Prediction 期刊论文 IEEE TRANSACTIONS ON SERVICES COMPUTING, 2022, 卷号: 15, 期号: 2, 页码: 793-805 作者:  Wu, Di;  He, Qiang;  Luo, Xin;  Shang, Mingsheng;  He, Yi;  Wang, Guoyin 收藏  |  浏览/下载：50/0  |  提交时间：2022/08/22 Web service  quality-of-service  latent factor analysis  posterior-neighborhood  regularization  cloud computing  big data
	A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 7, 页码: 4285-4296 作者:  Wu, Di;  Luo, Xin;  Shang, Mingsheng;  He, Yi;  Wang, Guoyin;  Zhou, MengChu 收藏  |  浏览/下载：204/0  |  提交时间：2021/08/20 Big data  deep model  high-dimensional and sparse (HiDS) matrix  latent factor (LF) analysis  recommender system (RS)
	An L-1-and-L-2-Norm-Oriented Latent Factor Model for Recommender Systems 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14 作者:  Wu, Di;  Shang, Mingsheng;  Luo, Xin;  Wang, Zidong 收藏  |  浏览/下载：42/0  |  提交时间：2022/08/22 High-dimensional and sparse (HiDS) matrix  latent factor (LF) analysis  L-1 norm  L-2 norm  recommender system (RS)