Graph Neural Networks Are Evolutionary Algorithms. - Kaichen Ouyang; Shengwei Fu (CoRR, 2024)

Dynamic Graph Neural Evolution: An Evolutionary Framework Integrating Graph Neural Networks with Adaptive Filtering. - Kaichen Ouyang; Shengwei Fu; Yi Chen 023; Huiling Chen 001 (CEC, 2025)

Trend-Aware Mechanism for Metaheuristic Algorithms. - Junbo Jacob Lian; Kaichen Ouyang; Rui Zhong; Yujun Zhang; Shipeng Luo; Ling Ma; Xincan Wu; Huiling Chen 001 (Appl. Soft Comput., 2025)

Escape: an optimization method based on crowd evacuation behaviors. - Kaichen Ouyang; Shengwei Fu; Yi Chen 023; Qifeng Cai; Ali Asghar Heidari; Huiling Chen 001 (Artif. Intell. Rev., 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, 2025)

Rethinking Over-Smoothing in Graph Neural Networks: A Perspective from Anderson Localization. - Kaichen Ouyang (CoRR, 2025)

Consciousness as a Jamming Phase. - Kaichen Ouyang (CoRR, 2025)

Why Flow Matching is Particle Swarm Optimization? - Kaichen Ouyang (CoRR, 2025)