647 citations · 994 across the 21 of their papers we have counts for
21 papers
Constraints on heavy decaying dark matter from 570 days of LHAASO observations
The LHAASO Collaboration, Zhen Cao, F. Aharonian +276
The Kilometer Square Array~(KM2A) of the Large High Altitude Air Shower Observatory (LHAASO) aims at surveying the northern gamma-ray sky at energies above 10 TeV with unprecedente…
WE model: A Machine Learning Model Based on Data-Driven Movie Derivatives Market Prediction
Yaoyao Ding, Chenghao Wu, Xinyu Liu +2
The mature development and the extension of the industry chain make the income structure of the film industry. The income of the traditional film industry depends on the box office…
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…
Construction and On-site Performance of the LHAASO WFCTA Camera
F. Aharonian, Q. An, Axikegu +246
The focal plane camera is the core component of the Wide Field-of-view Cherenkov/fluorescence Telescope Array (WFCTA) of the Large High-Altitude Air Shower Observatory (LHAASO). Be…
NOH-NMS: Improving Pedestrian Detection by Nearby Objects Hallucination
Penghao Zhou, Chong Zhou, Pai Peng +4
Greedy-NMS inherently raises a dilemma, where a lower NMS threshold will potentially lead to a lower recall rate and a higher threshold introduces more false positives. This proble…
A zero-inflated gamma model for deconvolved calcium imaging traces
Xue-Xin Wei, Ding Zhou, Andres Grosmark +6
Calcium imaging is a critical tool for measuring the activity of large neural populations. Much effort has been devoted to developing "pre-processing" tools for calcium video data,…
On the Security of A Remote Cloud Storage Integrity Checking Protocol
Faen Zhang, Xinyu Fan, Pengcheng Zhou +1
Data security and privacy is an important but challenging problem in cloud computing. One of the security concerns from cloud users is how to efficiently verify the integrity of th…
Zero knowledge proofs for cloud storage integrity checking
Faen Zhang, Xinyu Fan, Pengcheng Zhou +1
With the wide application of cloud storage, cloud security has become a crucial concern. Related works have addressed security issues such as data confidentiality and integrity, wh…
Purpose-based access policy on provenance and data algebra
Faen Zhang, Xinyu Fan, Wenfeng Zhou +1
It is a crucial mechanism of access control to determine that data can only be accessed for allowed purposes. To achieve this mechanism, we propose purpose-based access policies in…
Regression via Arbitrary Quantile Modeling
Faen Zhang, Xinyu Fan, Hui Xu +3
In the regression problem, L1 and L2 are the most commonly used loss functions, which produce mean predictions with different biases. However, the predictions are neither robust no…
Dynamic Connected Neural Decision Classifier and Regressor with Dynamic Softing Pruning
Xinyu Fan
To deal with various datasets over different complexity, this paper presents an self-adaptive learning model that combines the proposed Dynamic Connected Neural Decision Networks (…
Short-and-Sparse Deconvolution -- A Geometric Approach
Yenson Lau, Qing Qu, Han-Wen Kuo +3
Short-and-sparse deconvolution (SaSD) is the problem of extracting localized, recurring motifs in signals with spatial or temporal structure. Variants of this problem arise in appl…
Penalized matrix decomposition for denoising, compression, and improved demixing of functional imaging data
E. Kelly Buchanan, Ian Kinsella, Ding Zhou +17
Calcium imaging has revolutionized systems neuroscience, providing the ability to image large neural populations with single-cell resolution. The resulting datasets are quite large…
Fast Online Deconvolution of Calcium Imaging Data
Johannes Friedrich, Pengcheng Zhou, Liam Paninski
Fluorescent calcium indicators are a popular means for observing the spiking activity of large neuronal populations, but extracting the activity of each neuron from raw fluorescenc…
eXTP -- enhanced X-ray Timing and Polarimetry Mission
S. N. Zhang, M. Feroci, A. Santangelo +181
eXTP is a science mission designed to study the state of matter under extreme conditions of density, gravity and magnetism. Primary targets include isolated and binary neutron star…
False discovery rate regression: an application to neural synchrony detection in primary visual cortex
James G. Scott, Ryan C. Kelly, Matthew A. Smith +2
Many approaches for multiple testing begin with the assumption that all tests in a given study should be combined into a global false-discovery-rate analysis. But this may be inapp…