Citation Impact
Citing Papers
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
2010 Standout
Dual Averaging Method for Regularized Stochastic Learning and Online Optimization
2009
Matrix factorization+ for movie recommendation
2016
Continual lifelong learning with neural networks: A review
2019 Standout
Text Data Augmentation for Deep Learning
2021 Standout
Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions
2021 Standout
Machine Learning: Algorithms, Real-World Applications and Research Directions
2021 Standout
Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application
2019 Standout
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Online sparse class imbalance learning on big data
2016
Social-Aware Movie Recommendation via Multimodal Network Learning
2017
GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild
2019 Standout
Learning Multi-Task Correlation Particle Filters for Visual Tracking
2018
Mobility-Aware Multi-Hop Task Offloading for Autonomous Driving in Vehicular Edge Computing and Networks
2022 Standout
Deep visual domain adaptation: A survey
2018 Standout
Recurrent neural network based recommendation for time heterogeneous feedback
2016
A Comprehensive Survey on Transfer Learning
2020 Standout
A survey on Image Data Augmentation for Deep Learning
2019 Standout
Towards Cognitive Recommender Systems
2020
SVMs Classification Based Two-side Cross Domain Collaborative Filtering by inferring intrinsic user and item features
2017
An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings
2019 Standout
Transitive Transfer Learning
2015
A Tucker Deep Computation Model for Mobile Multimedia Feature Learning
2017 Standout
Robust Manhattan Frame estimation from a single RGB-D image
2015
Recent advances and applications of machine learning in solid-state materials science
2019 Standout
3D Semantic Parsing of Large-Scale Indoor Spaces
2016 Standout
Hyperspectral Band Selection by Multitask Sparsity Pursuit
2014
Mobile Augmented Reality Survey: From Where We Are to Where We Go
2017 Standout
Neural Semantic Personalized Ranking for item cold-start recommendation
2017
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
Recommendation system based on deep learning methods: a systematic review and new directions
2019 Standout
Robust visual tracking via multi-task sparse learning
2012
Multimedia Retrieval via Deep Learning to Rank
2015
A Privacy-Preserving Cross-Domain Healthcare Wearables Recommendation Algorithm Based on Domain-Dependent and Domain-Independent Feature Fusion
2021
Transfer learning for time series classification
2018
A content-based recommendation algorithm for learning resources
2017
Collaborative Filtering beyond the User-Item Matrix
2014 Standout
Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review
2018 Standout
Cross Domain Recommender Systems
2017
Graph Neural Networks for Social Recommendation
2019 Standout
What recommenders recommend: an analysis of recommendation biases and possible countermeasures
2015
Learning Multiscale Active Facial Patches for Expression Analysis
2014
A survey of transfer learning
2016 Standout
A Micro-GA Embedded PSO Feature Selection Approach to Intelligent Facial Emotion Recognition
2016 Standout
Object Tracking Benchmark
2015 Standout
Recommender system application developments: A survey
2015 Standout
A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis
2017 Standout
A Survey of Recommendation Systems: Recommendation Models, Techniques, and Application Fields
2022 Standout
Robust Visual Tracking via Structured Multi-Task Sparse Learning
2012
Deep learning for time series classification: a review
2019 Standout
I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs
2019 Standout
Works of Weike Pan being referenced
Accelerated Gradient Methods for Stochastic Optimization and Online Learning
2009
GBPR: group preference based Bayesian personalized ranking for one-class collaborative filtering
2013
Transfer learning to predict missing ratings via heterogeneous user feedbacks
2011
Adaptive Bayesian personalized ranking for heterogeneous implicit feedbacks
2014
A survey of transfer learning for collaborative recommendation with auxiliary data
2015
Selective Transfer Learning for Cross Domain Recommendation
2013
Transfer learning in heterogeneous collaborative filtering domains
2013
Transfer Learning in Collaborative Filtering with Uncertain Ratings
2021
FedRec: Federated Recommendation With Explicit Feedback
2020
Interaction-Rich Transfer Learning for Collaborative Filtering with Heterogeneous User Feedback
2014
Mixed factorization for collaborative recommendation with heterogeneous explicit feedbacks
2015
Accelerated Gradient Method for Multi-task Sparse Learning Problem
2009
Transfer Learning for Heterogeneous One-Class Collaborative Filtering
2016
Compressed knowledge transfer via factorization machine for heterogeneous collaborative recommendation
2015
Transfer Learning in Collaborative Filtering for Sparsity Reduction
2010
Transfer Learning for Semisupervised Collaborative Recommendation
2016