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ORCIDJun Yu 0012
Person information
- affiliation: Niigata University, Institute of Science and Technology, Niigata-shi, Japan
Other persons with the same name
- Jun Yu — disambiguation page
- Jun Yu 0001
![[0000-0002-3197-8103]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-3197-8103")
— University of Science and Technology of China, Department of Automation, Hefei, China - Jun Yu 0002 — Hangzhou Dianzi University, School of Computer Science, China (and 5 more)
- Jun Yu 0003 — Dalian University of Technology, Faculty of Electronic Information and Electrical Engineering, China
- Jun Yu 0004 — Chinese Academy of Sciences, Beijing Institute of Genomics, China (and 1 more)
- Jun Yu 0005 — Umeå University, Umeå, Sweden
- Jun Yu 0006 — Singapore Management University, Singapore, Singapore
- Jun Yu 0007 — Kochi University of Technology, Kami, Japan
- Jun Yu 0008 — London School of Economics and Political Science, London, UK
- Jun Yu 0009 — Li Ka Shing Institute of Health Sciences, Hong Kong, China (and 1 more)
- Jun Yu 0010 — Fudan University, State Key Lab of ASIC & System, Shanghai, China
- Jun Yu 0011 — Zhengzhou University of Light Industry, College of Computer and Communication Engineering, China (and 1 more)
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2020 – today
- 2024
[j10]Yuefeng Xu, Rui Zhong, Chao Zhang, Jun Yu:
Multiplayer battle game-inspired optimizer for complex optimization problems. Clust. Comput. 27(6): 8307-8331 (2024)- [j9]Rui Zhong, Jun Yu:
Gene-targeting multiplayer battle game optimizer for large-scale global optimization via cooperative coevolution. Clust. Comput. 27(9): 12483-12508 (2024) - [j8]Rui Zhong, Yuefeng Xu, Chao Zhang, Jun Yu:
Leveraging large language model to generate a novel metaheuristic algorithm with CRISPE framework. Clust. Comput. 27(10): 13835-13869 (2024) - [j7]Rui Zhong, Chao Zhang, Jun Yu:
Chaotic vegetation evolution: leveraging multiple seeding strategies and a mutation module for global optimization problems. Evol. Intell. 17(4): 2387-2411 (2024) - [j6]Yu Ding, Jun Yu, Chunzhi Gu, Shangce Gao, Chao Zhang:
A multi-in and multi-out dendritic neuron model and its optimization. Knowl. Based Syst. 286: 111442 (2024) - [j5]Rui Zhong, Jun Yu, Chao Zhang, Masaharu Munetomo:
SRIME: a strengthened RIME with Latin hypercube sampling and embedded distance-based selection for engineering optimization problems. Neural Comput. Appl. 36(12): 6721-6740 (2024) - [j4]Chunzhi Gu, Jun Yu, Chao Zhang:
Learning disentangled representations for controllable human motion prediction. Pattern Recognit. 146: 109998 (2024) - [j3]Jianjian Qin, Chunzhi Gu, Jun Yu, Chao Zhang:
Multilevel saliency-guided self-supervised learning for image anomaly detection. Signal Image Video Process. 18(8-9): 6339-6351 (2024) - [c10]Rui Zhong, Yang Cao, Jun Yu, Masaharu Munetomo:
Hierarchical Adaptive Differential Evolution with Local Search for Extreme Learning Machine. ICSI (1) 2024: 235-246 - [c9]Yuefeng Xu, Rui Zhong, Chao Zhang, Jun Yu:
Evolutionary Computation with Distance-Based Pretreatment for Multi-modal Problems. ICSI (1) 2024: 313-322 - [i11]Yuefeng Xu, Rui Zhong, Chao Zhang, Jun Yu:
Multiplayer Battle Game-Inspired Optimizer for Complex Optimization Problems. CoRR abs/2401.00401 (2024) - [i10]Rui Zhong, Yuefeng Xu, Chao Zhang, Jun Yu:
Efficient Multiplayer Battle Game Optimizer for Adversarial Robust Neural Architecture Search. CoRR abs/2403.10100 (2024) - [i9]Rui Zhong, Yuefeng Xu, Chao Zhang, Jun Yu:
Leveraging Large Language Model to Generate a Novel Metaheuristic Algorithm with CRISPE Framework. CoRR abs/2403.16417 (2024) - [i8]Shun Maeda, Chunzhi Gu, Jun Yu, Shogo Tokai, Shangce Gao, Chao Zhang:
Frequency-Guided Multi-Level Human Action Anomaly Detection with Normalizing Flows. CoRR abs/2404.17381 (2024) - [i7]Yawen Zou, Chunzhi Gu, Jun Yu, Shangce Gao, Chao Zhang:
Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation. CoRR abs/2405.16437 (2024) - [i6]Rui Zhong, Yang Cao, Jun Yu, Masaharu Munetomo:
Large Language Model Assisted Adversarial Robustness Neural Architecture Search. CoRR abs/2406.05433 (2024) - 2023
- [j2]Jianjian Qin, Chunzhi Gu, Jun Yu, Chao Zhang:
Teacher-student network for 3D point cloud anomaly detection with few normal samples. Expert Syst. Appl. 228: 120371 (2023) - [j1]Rui Zhong, Jun Yu, Chao Zhang, Masaharu Munetomo:
Surrogate Ensemble-Assisted Hyper-Heuristic Algorithm for Expensive Optimization Problems. Int. J. Comput. Intell. Syst. 16(1): 169 (2023) - [c8]Shun Maeda, Chunzhi Gu, Jun Yu, Chao Zhang:
Weakly-Supervised Motion In-Betweening Learning via Pose Priors. AICCC 2023: 1-6 - [c7]Shuofeng Zhao, Chunzhi Gu, Jun Yu, Chao Zhang:
A Clicking Strategy Inspired by Inter-Individual Variation for Interactive Image Segmentation. AICCC 2023: 78-83 - [c6]Takaya Okamoto, Chunzhi Gu, Jun Yu, Chao Zhang:
Generating Smooth Interpretability Map for Explainable Image Segmentation. GCCE 2023: 1023-1025 - [c5]Daichi Kato, Chunzhi Gu, Jun Yu, Chao Zhang:
Improving Fish Freshness Classification with Fish Eye Segmentation Guidance. GCCE 2023: 1150-1151 - [c4]Chao Zhang, Katsuya Hotta, Takuma Ueshima, Jun Yu, Chunzhi Gu:
Augment with Teacher and Distill with Student: A Two-Stage Teacher-Student Network Training Scheme for 3D Human Segmentation. ICCPR 2023: 375-379 - [c3]Yuuto Aiza, Chao Zhang, Jun Yu:
Black-Box Targeted Adversarial Attack Based on Multi-Population Genetic Algorithm. SMC 2023: 317-322 - [i5]Yu Ding, Jun Yu, Chunzhi Gu, Shangce Gao, Chao Zhang:
A Multi-In and Multi-Out Dendritic Neuron Model and its Optimization. CoRR abs/2309.07791 (2023) - [i4]Jianjian Qin, Chunzhi Gu, Jun Yu, Chao Zhang:
Image-Pointcloud Fusion based Anomaly Detection using PD-REAL Dataset. CoRR abs/2311.04095 (2023) - [i3]Jianjian Qin, Chunzhi Gu, Jun Yu, Chao Zhang:
Multilevel Saliency-Guided Self-Supervised Learning for Image Anomaly Detection. CoRR abs/2311.18332 (2023) - 2022
- [c2]Kohei Nakazawa, Katsuya Hotta, Jun Yu, Chao Zhang:
Student-Teacher Anomaly Detection Considering Knowledge Consistency between Layer Groups. GCCE 2022: 381-382 - [c1]Jun Yu, Chao Zhang:
Accelerating Fireworks Algorithm with Adaptive Scouting Strategy. SMC 2022: 1482-1487 - [i2]Chunzhi Gu, Jun Yu, Chao Zhang:
Learning Disentangled Representations for Controllable Human Motion Prediction. CoRR abs/2207.01388 (2022) - [i1]Jianjian Qin, Chunzhi Gu, Jun Yu, Chao Zhang:
Teacher-Student Network for 3D Point Cloud Anomaly Detection with Few Normal Samples. CoRR abs/2210.17258 (2022)
Coauthor Index
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