most citedAbsolute Zero-Shot Learning

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

physics.optics2022

Generation of nonparaxial self-accelerating beams using pendant droplets

Qiyue Zhang, Peng Zhang, Huizhong Xu +2

We propose and demonstrate the effectual generation and control of nonparaxial self-accelerating beams by using UV-resin pendant droplets. We show that the geometrical shape of the…

cs.LG2022

Knowing the Past to Predict the Future: Reinforcement Virtual Learning

Peng Zhang, Yawen Huang, Bingzhang Hu +5

Reinforcement Learning (RL)-based control system has received considerable attention in recent decades. However, in many real-world problems, such as Batch Process Control, the env…

q-fin.MF2022

Stock Trading Optimization through Model-based Reinforcement Learning with Resistance Support Relative Strength

Huifang Huang, Ting Gao, Yi Gui +2

Reinforcement learning (RL) is gaining attention by more and more researchers in quantitative finance as the agent-environment interaction framework is aligned with decision making…

cs.CV20221 cited

Absolute Zero-Shot Learning

Rui Gao, Fan Wan, Daniel Organisciak +6

Considering the increasing concerns about data copyright and privacy issues, we present a novel Absolute Zero-Shot Learning (AZSL) paradigm, i.e., training a classifier with zero r…

physics.ins-det2019

Comparison on PMT Waveform Reconstructions with JUNO Prototype

H. Q. Zhang, Z. M. Wang, Y. P. Zhang +12

JUNO is proposed to determine the neutrino mass hierarchy and rich in many other neutrino topics. A prototype is designed and set up for better understanding sub-systems of future…