Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml
and set future: false
.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
RUE: A robust personalized cost assignment strategy for class imbalance cost-sensitive learning
Published in Journal of King Saud University-Computer and Information Sciences, 2023
Recommended citation: Zhou S, Gu Y, Yu H, et al. RUE: A robust personalized cost assignment strategy for class imbalance cost-sensitive learning[J]. Journal of King Saud University-Computer and Information Sciences, 2023, 35(4): 36-49.
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Active learning by extreme learning machine with considering exploration and exploitation simultaneously
Published in Neural Processing Letters, 2023
Recommended citation: Gu Y, Yu H, Yang X, et al. Active learning by extreme learning machine with considering exploration and exploitation simultaneously[J]. Neural Processing Letters, 2023, 55(4): 5245-5267.
PLVI-CE: a multi-label active learning algorithm with simultaneously considering uncertainty and diversity
Published in Applied Intelligence, 2023
Recommended citation: Gu Y, Duan J, Yu H, et al. PLVI-CE: a multi-label active learning algorithm with simultaneously considering uncertainty and diversity[J]. Applied Intelligence, 2023, 53(22): 27844-27864.
Advancements in accelerating deep neural network inference on AIoT devices: A survey
Published in IEEE Transactions on Sustainable Computing, 2024
Recommended citation: Cheng L, Gu Y, Liu Q, et al. Advancements in accelerating deep neural network inference on AIoT devices: A survey[J]. IEEE Transactions on Sustainable Computing, 2024, 9(6): 830-847.
ECC++: An algorithm family based on ensemble of classifier chains for classifying imbalanced multi-label data
Published in Expert Systems with Applications, 2024
Recommended citation: Duan J, Gu Y, Yu H, et al. ECC++: An algorithm family based on ensemble of classifier chains for classifying imbalanced multi-label data[J]. Expert Systems with Applications, 2024, 236: 121366.
SNN-PDM: An Improved Probability Density Machine Algorithm Based on Shared Nearest Neighbors Clustering Technique
Published in Journal of Classification, 2024
Recommended citation: Wu S, Yu H, Gu Y, et al. SNN-PDM: An Improved Probability Density Machine Algorithm Based on Shared Nearest Neighbors Clustering Technique[J]. Journal of Classification, 2024, 41(2): 289-312.
DNN-Based Task Partitioning and Offloading in Edge-Cloud Collaboration Within Electric Vehicles
Published in IEEE Transactions on Consumer Electronics, 2024
Recommended citation: Yan H, Gu Y, He H, et al. DNN-Based Task Partitioning and Offloading in Edge-Cloud Collaboration Within Electric Vehicles[J]. IEEE Transactions on Consumer Electronics, 2024.
MARS: Multi-Agent Deep Reinforcement Learning for Real-Time Workflow Scheduling in Hybrid Clouds with Privacy Protection
Published in 2024 IEEE 30th International Conference on Parallel and Distributed Systems (ICPADS), 2024
Recommended citation: Cheng L, He H, Gu Y, et al. MARS: Multi-Agent Deep Reinforcement Learning for Real-Time Workflow Scheduling in Hybrid Clouds with Privacy Protection[C]//2024 IEEE 30th International Conference on Parallel and Distributed Systems (ICPADS). IEEE, 2024: 657-666.
Cost-aware cloud workflow scheduling using DRL and simulated annealing
Published in Digital Communications and Networks, 2024
Recommended citation: Gu Y, Cheng F, Yang L, et al. Cost-aware cloud workflow scheduling using DRL and simulated annealing[J]. Digital Communications and Networks, 2024, 10(6): 1590-1599.
Job Scheduling in Hybrid Clouds With Privacy Constraints: A Deep Reinforcement Learning Approach
Published in Concurrency and Computation: Practice and Experience, 2025
Recommended citation: He H, Gu Y, Liu Q, et al. Job Scheduling in Hybrid Clouds With Privacy Constraints: A Deep Reinforcement Learning Approach[J]. Concurrency and Computation: Practice and Experience, 2025, 37(1): e8307.
Real-time workflow scheduling in hybrid clouds with privacy and security constraints: A deep reinforcement learning approach
Published in Expert Systems with Applications, 2025
Recommended citation: He H, Gu Y, Hu Y, et al. Real-time workflow scheduling in hybrid clouds with privacy and security constraints: A deep reinforcement learning approach[J]. Expert Systems with Applications, 2025, 278: 127376.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.