Ran Cheng (程然)
Ran Cheng (程然)
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Large-scale Multiobjective Optimization via Reformulated Decision Variable Analysis
With the rising number of large-scale multiobjective optimization problems (LSMOPs) from academia and industries, some multiobjective …
Cheng He
,
Ran Cheng
,
Lianghao Li
,
Kay Chen Tan
,
Yaochu Jin
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DOI
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment
The ongoing advancements in network architecture design have led to remarkable achievements in deep learning across various challenging …
Zhichao Lu
,
Ran Cheng
,
Yaochu Jin
,
Kay Chen Tan
,
Kalyanmoy Deb
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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
RL-CSL: A Combinatorial Optimization Method Using Reinforcement Learning and Contrastive Self-Supervised Learning
Reinforcement learning-based methods have shown great potential in solving combinatorial optimization problems. However, the related …
Zhongju Yuan
,
Genghui Li
,
Zhenkun Wang
,
Jianyong Sun
,
Ran Cheng
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DOI
Surrogate-assisted Multiobjective Neural Architecture Search for Real-time Semantic Segmentation
The architectural advancements in deep neural networks have led to remarkable leap-forwards across a broad array of computer vision …
Zhichao Lu
,
Ran Cheng
,
Shihua Huang
,
Haoming Zhang
,
Changxiao Qiu
,
Fan Yang
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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
URL
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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URL
Evolutionary Large-Scale Multi-Objective Optimization: A Survey
Multi-objective evolutionary algorithms (MOEAs) have shown promising performance in solving various optimization problems, but their …
Ye Tian
,
Langchun Si
,
Xingyi Zhang
,
Ran Cheng
,
Cheng He
,
Kay Chen Tan
,
Yaochu Jin
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DOI
URL
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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URL
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
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