647 citations · 715 across the 14 of their papers we have counts for
6 papers · 1 filter
Improved Method of Stock Trading under Reinforcement Learning Based on DRQN and Sentiment Indicators ARBR
Peng Zhou, Jingling Tang
With the application of artificial intelligence in the financial field, quantitative trading is considered to be profitable. Based on this, this paper proposes an improved deep rec…
An Improved Reinforcement Learning Model Based on Sentiment Analysis
Yizhuo Li, Peng Zhou, Fangyi Li +1
With the development of artificial intelligence technology, quantitative trading systems represented by reinforcement learning have emerged in the stock trading market. The authors…
PR-Net: Preference Reasoning for Personalized Video Highlight Detection
Runnan Chen, Penghao Zhou, Wenzhe Wang +4
Personalized video highlight detection aims to shorten a long video to interesting moments according to a user's preference, which has recently raised the community's attention. Cu…
Monotonic Neural Network: combining Deep Learning with Domain Knowledge for Chiller Plants Energy Optimization
Fanhe Ma, Faen Zhang, Shenglan Ben +4
In this paper, we are interested in building a domain knowledge based deep learning framework to solve the chiller plants energy optimization problems. Compared to the hotspot appl…
Discovery of the Ultra-high energy gamma-ray source LHAASO J2108+5157
The LHAASO collaboration, Zhen Cao, F. Aharonian +267
We report the discovery of a UHE gamma-ray source, LHAASO J2108+5157, by analyzing the LHAASO-KM2A data of 308.33 live days. Significant excess of gamma-ray induced showers is obse…
Calibration of the Air Shower Energy Scale of the Water and Air Cherenkov Techniques in the LHAASO experiment
F. Aharonian, Q. An, Axikegu +246
The Wide Field-of-View Cherenkov Telescope Array (WFCTA) and the Water Cherenkov Detector Arrays (WCDA) of LHAASO are designed to work in combination for measuring the energy spect…