149 citations · 165 across the 6 of their papers we have counts for
6 papers
Mapping the Fitness Landscape: A Structure-Guided Approach to Multi-Modal Optimization
Meng Xiang, Pei Yan
Multimodal optimization requires finding many optima rather than merely keeping a diverse population. Yet most niching-based evolutionary algorithms rely on distances or density es…
Fast as CHITA: Neural Network Pruning with Combinatorial Optimization
Riade Benbaki, Wenyu Chen, Xiang Meng +4
The sheer size of modern neural networks makes model serving a serious computational challenge. A popular class of compression techniques overcomes this challenge by pruning or spa…
Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features
Rahul Mazumder, Xiang Meng, Haoyue Wang
Decision trees are one of the most useful and popular methods in the machine learning toolbox. In this paper, we consider the problem of learning optimal decision trees, a combinat…
Efficient phase-factor evaluation in quantum signal processing
Yulong Dong, Xiang Meng, K. Birgitta Whaley +1
Quantum signal processing (QSP) is a powerful quantum algorithm to exactly implement matrix polynomials on quantum computers. Asymptotic analysis of quantum algorithms based on QSP…
Robust Control Optimization for Quantum Approximate Optimization Algorithm
Yulong Dong, Xiang Meng, Lin Lin +2
Quantum variational algorithms have garnered significant interest recently, due to their feasibility of being implemented and tested on noisy intermediate scale quantum (NISQ) devi…
An exact penalty approach for optimization with nonnegative orthogonality constraints
Bo Jiang, Xiang Meng, Zaiwen Wen +1
Optimization with nonnegative orthogonality constraints has wide applications in machine learning and data sciences. It is NP-hard due to some combinatorial properties of the const…