Hui Xiong

Artificial Intelligence · IEEE Transactions on Knowledge and Data Engineering · 2006–2023

A researcher in the Science corpus: 23 papers; trusts 475 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Artificial Intelligence — 432 citations into it; #14,956 of 35,345 by trust here, #5,059 by citations
Computer Vision and Pattern Recognition — 175 citations into it
Representation & Self-Supervised Learning — 128 citations into it
Information Systems — 119 citations into it; #3,930 of 8,771 by trust here, #1,413 by citations
Signal Processing — 64 citations into it; #3,237 of 7,572 by trust here, #901 by citations
Statistical and Nonlinear Physics — 48 citations into it
Computer Networks and Communications — 46 citations into it
Management Science and Operations Research — 43 citations into it; #6,569 of 11,946 by trust here, #1,590 by citations

Whom Hui Xiong trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

Who trusts Hui Xiong overall

Papers from Hui Xiong's perspective

Ordered by how strongly the researchers Hui Xiong trusts endorse each paper. Same corpus, a different order for every researcher.

ImageNet classification with deep convolutional neural networks
Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Attention is All you Need (Neural Information Processing Systems)
Long Short-Term Memory
ImageNet: A large-scale hierarchical image database
Gradient-based learning applied to document recognition
Learning Multiple Layers of Features from Tiny Images
Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Going deeper with convolutions

Their papers

A Comprehensive Survey on Transfer Learning (2019) — 5,955 citations
Understanding and Enhancement of Internal Clustering Validation Measures (2013) — 321 citations
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting (2020) — 8,143 citations
Preserving privacy in gps traces via uncertainty-aware path cloaking (2007) — 388 citations
Enhancing Security and Privacy in Traffic-Monitoring Systems (2006) — 345 citations
Data-driven Automatic Treatment Regimen Development and Recommendation (2016) — 58 citations
Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability (2019) — 112 citations
Instance-based credit risk assessment for investment decisions in P2P lending (2016) — 311 citations
User Preference Learning with Multiple Information Fusion for Restaurant Recommendation (2014) — 46 citations
A survey on large language models for recommendation (2023) — 899 citations
Cost-Effective Incremental Deep Model: Matching Model Capacity With the Least Sampling (2023) — 57 citations
A Comprehensive Survey on Graph Anomaly Detection With Deep Learning (2021) — 830 citations
Deep Subdomain Adaptation Network for Image Classification (2020) — 1,091 citations
A Survey on Knowledge Graph-Based Recommender Systems (2020) — 1,001 citations
EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction (2019) — 500 citations
Sequential Recommender System based on Hierarchical Attention Networks (2018) — 423 citations
A Unified Framework for Metric Transfer Learning (2017) — 171 citations
Discovering Urban Functional Zones Using Latent Activity Trajectories (2015) — 409 citations
Learning geographical preferences for point-of-interest recommendation (2013) — 447 citations
Mining Personal Context-Aware Preferences for Mobile Users (2012) — 89 citations