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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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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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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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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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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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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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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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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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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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