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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：186/0  |  提交时间：2024/04/07
Interactive recommendation  popularity bias  item fairness  reinfor cement learning  
Robust and efficient algorithms for conversational contextual bandit 期刊论文
INFORMATION SCIENCES, 2024, 卷号: 657, 页码: 17
作者:  Gu, Haoran;  Xia, Yunni;  Xie, Hong;  Shi, Xiaoyu;  Shang, Mingsheng
收藏  |  浏览/下载：7/0  |  提交时间：2024/02/23
Conversational contextual bandit  Imbalanced conversation feedback  Upper confidence bound  Regret analysis  
Adaptively-Accelerated Parallel Stochastic Gradient Descent for High-Dimensional and Incomplete Data Representation Learning 期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2024, 卷号: 10, 期号: 1, 页码: 92-107
作者:  Qin, Wen;  Luo, Xin;  Zhou, Mengchu
收藏  |  浏览/下载：1/0  |  提交时间：2024/05/06
Parallel algorithm  industrial application  latent feature analysis  high-dimensional and incomplete data  stochastic gradient descent  parallelization shared-memory  data science  
Asynchronous Parallel Fuzzy Stochastic Gradient Descent for High-Dimensional Incomplete Data Representation 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2024, 卷号: 32, 期号: 2, 页码: 445-459
作者:  Qin, Wen;  Luo, Xin
收藏  |  浏览/下载：1/0  |  提交时间：2024/05/06
Training  Representation learning  Data models  Stochastic processes  Computational modeling  Analytical models  Proteins  Asynchronous parallelization  fuzzy optimization  high-dimensional incomplete (HDI) data  latent feature analysis (LFA)  shared-memory  stochastic gradient descent (SGD)  
A LightGBM and XGBoost Learning Method for Postoperative Critical Illness Key Indicators Analysis 期刊论文
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2023, 卷号: 17, 期号: 8, 页码: 2016-2029
作者:  Han, Lei;  Zhu, Yiziting;  Chen, Yuwen;  Huang, Guoqiong;  Yi, Bin
收藏  |  浏览/下载：11/0  |  提交时间：2023/12/25
Critical illness  Light gradient boosting machine (LightGBM)  Indicator analysis  Shapley additive explanation (SHAP) value  Machine 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：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  
Proximal Alternating-Direction-Method-of-Multipliers-Incorporated Nonnegative Latent Factor Analysis 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2023, 卷号: 10, 期号: 6, 页码: 1388-1406
作者:  Bi, Fanghui;  Luo, Xin;  Shen, Bo;  Dong, Hongli;  Wang, Zidong
收藏  |  浏览/下载：13/0  |  提交时间：2023/12/25
Data science  high-dimensional and incomplete data  knowledge acquisition  industrial application  nonnegative latent factor analysis(NLFA)  proximal alternating direction method of multipliers  representation learning