Ran Cheng (程然)
Ran Cheng (程然)
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Adaptive multiobjective evolutionary algorithm for large-scale transformer ratio error estimation
As a typical large-scale multiobjective optimization problem extracted from real-world applications, the voltage transformer ratio …
Changwu Huang
,
Lianghao Li
,
Cheng He
,
Ran Cheng
,
Xin Yao
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DOI
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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
Adaptive Offspring Generation for Evolutionary Large-Scale Multiobjective Optimization
Offspring generation plays an important role in evolutionary multiobjective optimization. However, generating promising candidate …
Cheng He
,
Ran Cheng
,
Danial Yazdani
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DOI
Evolutionary Large-Scale Dynamic Optimization Using Bilevel Variable Grouping
Variable grouping provides an efficient approach to large-scale optimization, and multipopulation strategies are effective for both …
Hui Bai
,
Ran Cheng
,
Danial Yazdani
,
Kay Chen Tan
,
Yaochu Jin
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DOI
Hybrid attention-based transformer block model for distant supervision relation extraction
With an exponential explosive growth of various digital text information, it is challenging to efficiently obtain specific knowledge …
Yan Xiao
,
Yaochu Jin
,
Ran Cheng
,
Kuangrong Hao
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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
Accelerating multi-objective neural architecture search by random-weight evaluation
For the goal of automated design of high-performance deep convolutional neural networks (CNNs), neural architecture search (NAS) …
Shengran Hu
,
Ran Cheng
,
Cheng He
,
Zhichao Lu
,
Jing Wang
,
Miao Zhang
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DOI
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Revisiting Self-Training for Few-Shot Learning of Language Model
As unlabeled data carry rich task-relevant information, they are proven useful for few-shot learning of language model. The question is …
Yiming Chen
,
Yan Zhang
,
Chen Zhang
,
Grandee Lee
,
Ran Cheng
,
Haizhou Li
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A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades—Part A
Many real-world optimization problems are dynamic. The field of dynamic optimization deals with such problems where the search space …
Danial Yazdani
,
Ran Cheng
,
Donya Yazdani
,
Jürgen Branke
,
Yaochu Jin
,
Xin Yao
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DOI
End-to-End Dense Video Captioning with Parallel Decoding
Dense video captioning aims to generate multiple associated captions with their temporal locations from the video. Previous methods …
Teng Wang
,
Ruimao Zhang
,
Zhichao Lu
,
Feng Zheng
,
Ran Cheng
,
Ping Luo
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