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Zhenxing Xu

2 accepted papers

2026

AutoEP: LLMs-Driven Automation of Hyperparameter Evolution for Metaheuristic Algorithms

ICLR 2026oral

Dynamically configuring algorithm hyperparameters is a fundamental challenge in computational intelligence. While learning-based methods offer automation, they suffer from prohibitive sample complexity and poor generalization. We introduce AutoEP, a novel framework that bypasses training entirely by…

Cited by 0SourcecodeScholar
2022

Combining Clause Learning and Branch and Bound for MaxSAT (Extended Abstract)

IJCAI 2022poster

Branch and Bound (BnB) has been successfully used to solve many combinatorial optimization problems. However, BnB MaxSAT solvers perform poorly when solving real-world and academic optimization problems. They are only competitive for random and some crafted instances. Thus, it is a prevailing opinio…

Cited by 0SourcePDFScholar