Ran Cheng (程然)
Ran Cheng (程然)
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"Computational modeling"
Ternary Compression for Communication-Efficient Federated Learning
Learning over massive data stored in different locations is essential in many real-world applications. However, sharing data is full of …
Jinjin Xu
,
Wenli Du
,
Yaochu Jin
,
Wangli He
,
Ran Cheng
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DOI
Reference Vector-Assisted Adaptive Model Management for Surrogate-Assisted Many-Objective Optimization
Acquisition functions for surrogate-assisted many-objective optimization require a delicate balance between convergence and diversity. …
Qiqi Liu
,
Ran Cheng
,
Yaochu Jin
,
Martin Heiderich
,
Tobias Rodemann
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DOI
Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs)
Recently, increasing works have been proposed to drive evolutionary algorithms using machine-learning models. Usually, the performance …
Cheng He
,
Shihua Huang
,
Ran Cheng
,
Kay Chen Tan
,
Yaochu Jin
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DOI
Surrogate-Assisted Expensive Many-Objective Optimization by Model Fusion
Surrogate-assisted evolutionary algorithms have played an important role in expensive optimization where a small number of …
Cheng He
,
Ran Cheng
,
Yaochu Jin
,
Xin Yao
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DOI
Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems
Surrogate models have shown to be effective in assisting metaheuristic algorithms for solving computationally expensive complex …
Chaoli Sun
,
Yaochu Jin
,
Ran Cheng
,
Jinliang Ding
,
Jianchao Zeng
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DOI
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