Kaichen Ouyang

According to our database, Kaichen Ouyang authored at least 23 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Dogfight Search: A Swarm-Based Optimization Algorithm for Complex Engineering Optimization and Mountainous Terrain Path Planning.

Yujing Sun, Jie Cai, Xingguo Xu, Yuansheng Gao, Lei Zhang, Kaichen Ouyang, Zhanyu Liu

CoRR, March, 2026

TwistNet-2D: Learning Second-Order Channel Interactions via Spiral Twisting for Texture Recognition.

Junbo Jacob Lian, Feng Xiong, Yujun Sun, Kaichen Ouyang, Zong Ke, Mingyang Yu, Shengwei Fu, Zhong Rui, Yujun Zhang, Huiling Chen

CoRR, February, 2026

A novel plug-and-play meta-black-box optimization module based on video streams for non-contact physiological signal extraction.

Yong Peng, Shaowei Gu, Guohua Wu, Yunbin Liang, Kaichen Ouyang, Xifeng Liang, Kui Wang, Chaojie Fan

Swarm Evol. Comput., 2026

FLNM-Net: A frequency-adaptive and luminance-noise aware mask network for rPPG signal extraction from video.

Chaojie Fan, Shaowei Gu, Kaichen Ouyang, Dedai Wei, Yong Peng

Pattern Recognit., 2026

Twisted convolutional networks (TCNs): Enhancing feature interactions for non-spatial data classification.

Junbo Jacob Lian, Haoran Chen, Kaichen Ouyang, Yujun Zhang, Rui Zhong, Huiling Chen

Neural Networks, 2026

Bounty hunter optimizer: A novel metaheuristic with an application to multi-UAV mobile edge computing and path planning.

Mingyang Yu, Haorui Yang, Jiaqi Zhang, Kaichen Ouyang, Shengwei Fu, Panlong Tan, Frank Jiang, Jing Xu

Knowl. Based Syst., 2026

IKUN: A mean-field game theoretic KD-tree density guided mechanism for evolutionary algorithms.

Junbo Jacob Lian, Mingyang Yu, Kaichen Ouyang, Shengwei Fu, Rui Zhong, Yujun Zhang, Huiling Chen

Inf. Sci., 2026

Wave Optics Optimizer: A novel meta-heuristic algorithm for engineering optimization.

Yong Peng, Shaowei Gu, Yunbin Liang, Kaichen Ouyang, Yingli Li, Kui Wang, Guohua Wu, Chaojie Fan

Commun. Nonlinear Sci. Numer. Simul., 2026

Newton downhill optimizer with application to engineering optimization and breast cancer feature selection.

Wanting Xiao, Junbo Jacob Lian, Kaichen Ouyang, Shaowei Gu, Zong Ke, Dedai Wei, Xinye Sha, Jiawei Wang, Shengwei Fu, Minyu Qiu, Chaoyang Xu

Biomed. Signal Process. Control., 2026

Competitive cluster elimination (CCE) for large-scale swarm optimization.

Junbo Jacob Lian, Kaichen Ouyang, Yujun Zhang, Rui Zhong, Haoran Chen, Zikun Zheng, Yujun Sun, Huiling Chen

Appl. Soft Comput., 2026

Learn from Global Correlations: Enhancing Evolutionary Algorithm via Spectral GNN.

Kaichen Ouyang, Zong Ke, Shengwei Fu, Lingjie Liu, Puning Zhao, Dayu Hu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

OPAL: Operator-Programmed Algorithms for Landscape-Aware Black-Box Optimization.

Junbo Jacob Lian, Mingyang Yu, Kaichen Ouyang, Shengwei Fu, Rui Zhong, Yujun Zhang, Jun Zhang, Huiling Chen

CoRR, December, 2025

Wasserstein Evolution : Evolutionary Optimization as Phase Transition.

Kaichen Ouyang

CoRR, December, 2025

A Benchmark Suite for Multi-Objective Optimization in Battery Thermal Management System Design.

Kaichen Ouyang, Yezhi Xia

CoRR, October, 2025

Why Flow Matching is Particle Swarm Optimization?

Kaichen Ouyang

CoRR, July, 2025

Consciousness as a Jamming Phase.

Kaichen Ouyang

CoRR, July, 2025

Rethinking Over-Smoothing in Graph Neural Networks: A Perspective from Anderson Localization.

Kaichen Ouyang

CoRR, July, 2025

Multi-Objective Mobile Damped Wave Algorithm (MOMDWA): A Novel Approach For Quantum System Control.

Juntao Yu, Jiaquan Yu, Dedai Wei, Xinye Sha, Shengwei Fu, Miuyu Qiu, Yurun Jin, Kaichen Ouyang

CoRR, February, 2025

Escape: an optimization method based on crowd evacuation behaviors.

Kaichen Ouyang, Shengwei Fu, Yi Chen, Qifeng Cai, Ali Asghar Heidari, Huiling Chen

Artif. Intell. Rev., January, 2025

MLLMs-MR: Multi-modal recognition based on multi-modal large language models.

Shengwei Fu, Mingyang Yu, Kaichen Ouyang, Qingsong Fan, Haisong Huang

Knowl. Based Syst., 2025

Trend-Aware Mechanism for Metaheuristic Algorithms.

Junbo Jacob Lian, Kaichen Ouyang, Rui Zhong, Yujun Zhang, Shipeng Luo, Ling Ma, Xincan Wu, Huiling Chen

Appl. Soft Comput., 2025

Dynamic Graph Neural Evolution: An Evolutionary Framework Integrating Graph Neural Networks with Adaptive Filtering.

Kaichen Ouyang, Shengwei Fu, Yi Chen, Huiling Chen

Proceedings of the IEEE Congress on Evolutionary Computation, 2025

2024

Graph Neural Networks Are Evolutionary Algorithms.

Kaichen Ouyang, Shengwei Fu

CoRR, 2024