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Yong Li

Jiangsu University · CN
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Area of research
Transportation · Computer Networks and Communications
Research interest
Research interests include Computer science, Computer network, Cloud computing, Recommender system, Scheduling (production processes), and Artificial intelligence.
h-index
citations
3,969
works
36
NIH funding
primary concept
email

Recent publications

Causal Inference in Recommender Systems: A Survey and Future Directions
ACM Transactions on Information Systems 2024cited by 105position: lastdoi
Trilinear Distillation Learning and Question Feature Capturing for Medical Visual Question Answering
Communications in computer and information science 2024cited by 0position: middledoi
Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity
Proceedings of the VLDB Endowment 2023cited by 39position: middledoi
Graph Neural Networks for Recommender System
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining 2022cited by 272position: lastdoi
Strategic COVID-19 vaccine distribution can simultaneously elevate social utility and equity
Nature Human Behaviour 2022cited by 37position: lastdoi
Torque Distribution Based on Dynamic Programming Algorithm for Four In-Wheel Motor Drive Electric Vehicle Considering Energy Efficiency Optimization
World Electric Vehicle Journal 2022cited by 35position: middledoi
A Bi-level representation learning model for medical visual question answering
Journal of Biomedical Informatics 2022cited by 23position: firstdoi
DGCN: Diversified Recommendation with Graph Convolutional Networks
2021cited by 130position: lastdoi
Understanding the Long-Term Evolution of Mobile App Usage
IEEE Transactions on Mobile Computing 2021cited by 57position: middledoi
Bundle Recommendation and Generation with Graph Neural Networks
IEEE Transactions on Knowledge and Data Engineering 2021cited by 45position: lastdoi
DeepNetQoE: Self-Adaptive QoE Optimization Framework of Deep Networks
IEEE Network 2021cited by 20position: middledoi
DFL-LC: Deep Feature Learning With Label Consistencies for Hyperspectral Image Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2021cited by 14position: lastdoi
PAS: Prediction-Based Actuation System for City-Scale Ridesharing Vehicular Mobile Crowdsensing
IEEE Internet of Things Journal 2020cited by 97position: middledoi
Artificial Intelligence for Wireless Caching: Schemes, Performance, and Challenges
IEEE Communications Surveys & Tutorials 2020cited by 60position: middledoi
DeepNetQoE: Self-adaptive QoE Optimization Framework of Deep Networks
arXiv (Cornell University) 2020cited by 1position: middledoi
A Comprehensive Survey on Mobility-Aware D2D Communications: Principles, Practice and Challenges
IEEE Communications Surveys & Tutorials 2019cited by 135position: middledoi
Cross-domain Recommendation Without Sharing User-relevant Data
2019cited by 127position: middledoi
Joint Optimization of Path Planning and Resource Allocation in Mobile Edge Computing
IEEE Transactions on Mobile Computing 2019cited by 110position: middledoi
Relay-Assisted and QoS Aware Scheduling to Overcome Blockage in mmWave Backhaul Networks
IEEE Transactions on Vehicular Technology 2019cited by 57position: middledoi
Auditable zerocoin scheme with user awareness
2019cited by 4position: middledoi
An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data
2018cited by 98position: middledoi
Mobility-Aware Fog Computing in Dynamic Environments: Understandings and Implementation
IEEE Access 2018cited by 63position: middledoi
QoS-Aware Full-Duplex Concurrent Scheduling for Millimeter Wave Wireless Backhaul Networks
IEEE Access 2018cited by 32position: middledoi
Device-to-Device Communications Enabled Multicast Scheduling for mmWave Small Cells Using Multi-Level Codebooks
IEEE Transactions on Vehicular Technology 2018cited by 27position: middledoi
Mobility-Aware Transmission Scheduling Scheme for Millimeter-Wave Cells
IEEE Transactions on Wireless Communications 2018cited by 24position: middledoi
Confidential Information Ensurance through Physical Layer Security in Device-to-Device Communication
2018cited by 22position: lastdoi
Mobility-Aware Caching Scheduling for Fog Computing in mmWave Band
IEEE Access 2018cited by 16position: middledoi
Wearable 2.0: Enabling Human-Cloud Integration in Next Generation Healthcare Systems
IEEE Communications Magazine 2017cited by 362position: middledoi
Device-to-Device Communications Enabled Energy Efficient Multicast Scheduling in mmWave Small Cells
IEEE Transactions on Communications 2017cited by 66position: middledoi
Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures
IEEE Transactions on Vehicular Technology 2016cited by 924position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Depeng Jin · Tsinghua University12 papers (2014–2021)Yong Niu · National Institute for Occupational Health and Poison Control9 papers (2017–2019)Min Chen · Guangxi University8 papers (2015–2021)Di Wu · Hebei University of Engineering5 papers (2015–2017)Xiangnan He · National University of Singapore5 papers (2018–2024)Zhu Han · Fudan University5 papers (2014–2020)Chen Gao · Tsinghua University5 papers (2019–2024)Zhangdui Zhong · University of Oslo5 papers (2017–2019)Bo Ai · University of Houston4 papers (2018–2019)Yu Liu · Kunming University of Science and Technology4 papers (2017–2019)Xinlei Chen · University of California, Berkeley4 papers (2017–2020)Manzoor Ahmed · Tsinghua University4 papers (2018–2020)Pan Hui · University of Turku3 papers (2014–2021)Kai Hwang · University of Houston3 papers (2016–2021)Fuli Feng · National University of Singapore3 papers (2018–2024)Sheng Chen · South China Agricultural University3 papers (2014–2019)Yin Zhang⋆ · New York University3 papers (2015–2017)Yu Zheng · Massachusetts Institute of Technology2 papers (2021–2024)Chin‐Feng Lai · Pacific Northwest National Laboratory2 papers (2015–2016)Hamid Gharavi · National Institute of Standards and Technology2 papers (2020–2021)
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