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20 4月

[IEEE TEVC] Bridging Evolutionary Multiobjective Optimization and GPU Acceleration via Tensorization

By EMIEvolutionary Computation
Zhenyu Liang, Hao Li, Naiwei Yu, Kebin Sun and Ran Cheng, Senior Member, IEEE Abstract As the demand…
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[IEEE TEVC] MetaDE: Evolving Differential Evolution by Differential Evolution
13 3月

[IEEE TEVC] MetaDE: Evolving Differential Evolution by Differential Evolution

By EMIEvolutionary Computation
Minyan Chen, Chenchen Feng, and Ran Cheng, Senior Member, IEEE Abstract: Differential Evolution (DE)…
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[GECCO 2024] GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA
11 5月

[GECCO 2024] GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA

By EMIEvolutionary Computation
Zhenyu Liang, Tao Jiang, Kebin Sun, Ran Cheng Abstract Evolutionary multiobjective op…
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[IEEE TEVC] EvoX: A Distributed GPU-accelerated Framework for Scalable Evolutionary Computation
28 4月

[IEEE TEVC] EvoX: A Distributed GPU-accelerated Framework for Scalable Evolutionary Computation

By EMIEvolutionary Computation
Beichen Huang, Ran Cheng, Zhuozhao Li, Yaochu Jin, Kay Chen Tan Abstract: Inspired by natural evolut…
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[GECCO 2023] Rethinking Population-assisted Off-policy Reinforcement Learning
27 4月

[GECCO 2023] Rethinking Population-assisted Off-policy Reinforcement Learning

By EMIDeep Learning
Bowen Zheng, Ran Cheng* Abstract: While off-policy reinforcement learning (RL) algorithms are sample…
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[Intelligent Computing] Evolutionary Reinforcement Learning: A Survey
27 4月

[Intelligent Computing] Evolutionary Reinforcement Learning: A Survey

By EMIEvolutionary Computation
Hui Bai, Ran Cheng*, Yaochu Jin Abstract: Reinforcement learning (RL) is a machine learning approach…
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[CVPR 2023] Accelerating Vision-Language Pretraining with Free Language Modeling
10 3月

[CVPR 2023] Accelerating Vision-Language Pretraining with Free Language Modeling

By EMIDeep Learning
Teng Wang, Yixiao Ge, Feng Zheng, Ran Cheng, Ying Shan, Xiaohu Qie, Ping Luo Abstract: The state of …
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[IEEE TEVC] Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment
07 2月

[IEEE TEVC] Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment

By EMIEvolutionary Computation
Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan and Kalyanmoy Deb Abstract: The ongoing advancements…
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[IEEE TAI] Surrogate-assisted Multiobjective Neural Architecture Search for Real-time Semantic Segmentation
28 10月

[IEEE TAI] Surrogate-assisted Multiobjective Neural Architecture Search for Real-time Semantic Segmentation

By EMIDeep Learning
Zhichao Lu, Ran Cheng, Shihua Huang, Haoming Zhang, Changxiao Qiu, and Fan Yang Abstract: The archit…
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[IEEE ToG] Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games
20 9月

[IEEE ToG] Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games

By EMIEvolutionary Computation
Hui Bai, Ruimin Shen, Yue Lin, Botian Xu, and Ran Cheng* Abstract: Despite the emerging progress of …
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