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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:
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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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
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Teaching experience 2
Workshop, University 1, Department, 2015
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