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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	Hierarchical Synergy-Enhanced Multimodal Relational Network for VideoQuestion Answering 期刊论文 ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2024, 卷号: 20, 期号: 4, 页码: 22 作者:  Peng, Min;  Shao, Xiaohu;  Shi, Yu;  Zhou, Xiangdong 收藏  |  浏览/下载：2/0  |  提交时间：2024/04/07 Video question answering  multimodal learning  attention mechanisms  multiscale semantics
	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：187/0  |  提交时间：2024/04/07 Interactive recommendation  popularity bias  item fairness  reinfor cement learning
	Constructing convolutional neural network by utilizing nematode connectome: A brain-inspired method 期刊论文 APPLIED SOFT COMPUTING, 2023, 卷号: 149, 页码: 10 作者:  Su, Dan;  Chen, Liangming;  Du, Xiaohao;  Liu, Mei;  Jin, Long 收藏  |  浏览/下载：8/0  |  提交时间：2024/01/17 Convolutional neural network  Caenorhabditis elegans  Nematode connectome
	Preparation of Mixed Few-Layer GeSe Nanosheets with High Efficiency by the Thermal Sublimation Method 期刊论文 ACS APPLIED MATERIALS & INTERFACES, 2023, 页码: 8 作者:  Wang, Chunxiang;  Shi, Xuan;  Liu, Shaoxiang;  Zhao, Hongquan;  Zhang, Wei 收藏  |  浏览/下载：11/0  |  提交时间：2023/12/25 thermal sublimation  mixed few-layer GeSe  direct bandgap  broadband spectra  GeSe nanosheets  PVD method
	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：11/0  |  提交时间：2023/12/25 Terms-Deep learning  differential evolution  grid search  hyperparameter tuning  online services  recommender systems
	Two-Stream Graph Convolutional Network-Incorporated Latent Feature Analysis 期刊论文 IEEE TRANSACTIONS ON SERVICES COMPUTING, 2023, 卷号: 16, 期号: 4, 页码: 3027-3042 作者:  Bi, Fanghui;  He, Tiantian;  Xie, Yuetong;  Luo, Xin 收藏  |  浏览/下载：9/0  |  提交时间：2023/12/25 Cloud service  data science  graph neural network  high-dimensional and incomplete data  latent factor analysis  latent feature model  missing data estimation  non-euclidean data  representation learning  quality-of-service
	A Nonlinear PID-Incorporated Adaptive Stochastic Gradient Descent Algorithm for Latent Factor Analysis 期刊论文 IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 15 作者:  Li, Jinli;  Luo, Xin;  Yuan, Ye;  Gao, Shangce 收藏  |  浏览/下载：181/0  |  提交时间：2023/12/25 High-dimensional and incomplete data  latent factor analysis  stochastic gradient descent  nonlinear proportional integral derivation  particle swarm optimization  parameter adaptation
	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：10/0  |  提交时间：2023/12/25 Web service  service selection  Quality-of-Service (QoS)  latent factor analysis  missing data prediction  big data
	A noise-suppressing discrete-time neural dynamics model for solving time-dependent multi-linear M-tensor equation q 期刊论文 NEUROCOMPUTING, 2023, 卷号: 520, 页码: 240-249 作者:  Liu, Mei;  Wu, Huanmei;  Shang, Mingsheng 收藏  |  浏览/下载：52/0  |  提交时间：2023/02/07 Multi -linear M -tensor equation  Time dependence  Noise -suppressing discrete -time neural  dynamics (NSDTND)
	Hierarchical Particle Swarm Optimization-incorporated Latent Factor Analysis for Large-Scale Incomplete Matrices 期刊论文 IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 6, 页码: 1524-1536 作者:  Chen, Jia;  Luo, Xin;  Zhou, Mengchu 收藏  |  浏览/下载：61/0  |  提交时间：2022/12/26 Adaptation models  Optimization  Convergence  Computational modeling  Sparse matrices  Particle swarm optimization  Big Data  Big data  latent factor analysis  particle swarm optimization  high-dimensional and sparse matrix  large-scale incomplete data  missing data estimation  industrial application