13 citations · 27 across the 5 of their papers we have counts for
5 papers
Exploitation and Exploration Analysis of Elitist Evolutionary Algorithms: A Case Study
Yu Chen, Jun He
Known as two cornerstones of problem solving by search, exploitation and exploration are extensively discussed for implementation and application of evolutionary algorithms (EAs).…
Learning Non-Markovian Quantum Noise from Moiré-Enhanced Swap Spectroscopy with Deep Evolutionary Algorithm
Murphy Yuezhen Niu, Vadim Smelyanskyi, Paul Klimov +30
Two-level-system (TLS) defects in amorphous dielectrics are a major source of noise and decoherence in solid-state qubits. Gate-dependent non-Markovian errors caused by TLS-qubit c…
Identification of Interaction Clusters Using a Semi-supervised Hierarchical Clustering Method
Yu Chen, Yuanyuan Yang, Yaochu Jin +1
Motivation: Identifying interaction clusters of large gene regulatory networks (GRNs) is critical for its further investigation, while this task is very challenging, attributed to…
Natural Question Generation with Reinforcement Learning Based Graph-to-Sequence Model
Yu Chen, Lingfei Wu, Mohammed J. Zaki
Natural question generation (QG) aims to generate questions from a passage and an answer. In this paper, we propose a novel reinforcement learning (RL) based graph-to-sequence (Gra…
Clustering Bioactive Molecules in 3D Chemical Space with Unsupervised Deep Learning
Chu Qin, Ying Tan, Shang Ying Chen +14
Unsupervised clustering has broad applications in data stratification, pattern investigation and new discovery beyond existing knowledge. In particular, clustering of bioactive mol…