10 citations · 31 across the 10 of their papers we have counts for
12 papers
Learning to Design Convex Relaxations for Nonconvex Optimization
Jinrun Liu, Bai Yan, Tengfei Liu +5
Convex relaxations make nonconvex optimization tractable by replacing hard nonconvex problems with convex surrogates that give valid bounds. Yet their design is still largely manua…
On some nonlinear extensions to Maxwell's electrodynamics
Bertrand Berche, Ernesto Medina
Soon after Maxwell's celebrated synthesis of electrodynamics, the discovery of the electron raised fundamental questions about the nature and structure of elementary particles. The…
Automated Metaheuristic Algorithm Design with Autoregressive Learning
Qi Zhao, Tengfei Liu, Bai Yan +3
Automated design of metaheuristic algorithms offers an attractive avenue to reduce human effort and gain enhanced performance beyond human intuition. Current automated methods desi…
Heuristic Solution to Joint Deployment and Beamforming Design for STAR-RIS Aided Networks
Bai Yan, Qi Zhao, Jin Zhang +1
This paper tackles the deployment challenges of Simultaneous Transmitting and Reflecting Reconfigurable Intelligent Surface (STAR-RIS) in communication systems. Unlike existing wor…
Joint Deployment and Beamforming Design of Aerial STAR-RIS Aided Networks with Reinforcement Learning
Zhuoyuan Ma, Qi Zhao, Jin Zhang +1
Aerial simultaneous transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS) enables full-space coverage in dynamic wireless networks. However, most existing work…
AutoOptLib: Tailoring Metaheuristic Optimizers via Automated Algorithm Design
Qi Zhao, Bai Yan, Taiwei Hu +4
Metaheuristics are prominent gradient-free optimizers for solving hard problems that do not meet the rigorous mathematical assumptions of analytical solvers. The canonical manual o…
Automated Design of Metaheuristic Algorithms: A Survey
Qi Zhao, Qiqi Duan, Bai Yan +2
Metaheuristics have gained great success in academia and practice because their search logic can be applied to any problem with available solution representation, solution quality…
AutoOpt: A General Framework for Automatically Designing Metaheuristic Optimization Algorithms with Diverse Structures
Qi Zhao, Bai Yan, Taiwei Hu +4
Metaheuristics are widely recognized gradient-free solvers to hard problems that do not meet the rigorous mathematical assumptions of conventional solvers. The automated design of…
Hybrid Beamforming for RIS-Aided Communications: Fitness Landscape Analysis and Niching Genetic Algorithm
Bai Yan, Qi Zhao, Jin Zhang +2
Reconfigurable Intelligent Surface (RIS) is a revolutionizing approach to provide cost-effective yet energy-efficient communications. The transmit beamforming of the base station (…
Gridless Evolutionary Approach for Line Spectral Estimation with Unknown Model Order
Bai Yan, Qi Zhao, Jin Zhang +2
Gridless methods show great superiority in line spectral estimation. These methods need to solve an atomic norm (i.e., the continuous analog of norm) minimization probl…
Multiobjective Bilevel Evolutionary Approach for Off-Grid Direction-of-Arrival Estimation
Bai Yan, Qi Zhao, Jin Zhang +2
The source number identification is an essential step in direction-of-arrival (DOA) estimation. Existing methods may provide a wrong source number due to inferior statistical prope…
Evolutionary Robust Clustering Over Time for Temporal Data
Qi Zhao, Bai Yan, Yuhui Shi
In many clustering scenes, data samples' attribute values change over time. For such data, we are often interested in obtaining a partition for each time step and tracking the dyna…