74 citations · 128 across the 8 of their papers we have counts for
8 papers
Antiferromagnetic spin fluctuations and unconventional superconductivity in topological superconductor candidate YPtBi revealed by Pt-NMR
Y. Z. Zhou, J. Chen, Z. X. Li +6
We report Pt nuclear magnetic resonance (NMR) measurements on topological superconductor candidate YPtBi which has the broken inversion symmetry and topological non-trivial…
A Data-Driven Model with Hysteresis Compensation for I2RIS Robot
Mojtaba Esfandiari, Yanlin Zhou, Shervin Dehghani +6
Retinal microsurgery is a high-precision surgery performed on an exceedingly delicate tissue. It now requires extensively trained and highly skilled surgeons. Given the restricted…
Asking Complex Questions with Multi-hop Answer-focused Reasoning
Xiyao Ma, Qile Zhu, Yanlin Zhou +2
Asking questions from natural language text has attracted increasing attention recently, and several schemes have been proposed with promising results by asking the right question…
Distilled One-Shot Federated Learning
Yanlin Zhou, George Pu, Xiyao Ma +2
Current federated learning algorithms take tens of communication rounds transmitting unwieldy model weights under ideal circumstances and hundreds when data is poorly distributed.…
Improving Question Generation with Sentence-level Semantic Matching and Answer Position Inferring
Xiyao Ma, Qile Zhu, Yanlin Zhou +2
Taking an answer and its context as input, sequence-to-sequence models have made considerable progress on question generation. However, we observe that these approaches often gener…
Adaptive Leader-Follower Formation Control and Obstacle Avoidance via Deep Reinforcement Learning
Yanlin Zhou, Fan Lu, George Pu +5
We propose a deep reinforcement learning (DRL) methodology for the tracking, obstacle avoidance, and formation control of nonholonomic robots. By separating vision-based control in…
A Spiking Neural Dynamical Drift-Diffusion Model on Collective Decision Making with Self-Organized Criticality
Yanlin Zhou, Chen Peng, Qing Hui
This article proposes a novel collective decision making scheme to solve the multi-agent drift-diffusion-model problem with the help of spiking neural networks. The exponential int…
A modified W-W interatomic potential based on ab initio calculations
Jun Wang, Yulu Zhou, Min Li +1
Based on ab initio calculations, a Finnis-Sinclair-type interatomic potential for W-W interactions has been developed. The modified potential is able to reproduce the correct forma…