Chao Kong

ORCID: 0000-0002-4671-9825
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About
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Research Areas
  • Advanced Graph Neural Networks
  • Recommender Systems and Techniques
  • Topic Modeling
  • Privacy-Preserving Technologies in Data
  • Complex Network Analysis Techniques
  • Seismic Imaging and Inversion Techniques
  • Natural Language Processing Techniques
  • Anomaly Detection Techniques and Applications
  • Data Quality and Management
  • Particle physics theoretical and experimental studies
  • Seismic Waves and Analysis
  • Biomedical Text Mining and Ontologies
  • Web Data Mining and Analysis
  • Neural Networks and Applications
  • Cloud Computing and Resource Management
  • Reinforcement Learning in Robotics
  • Seismology and Earthquake Studies
  • Quantum Chromodynamics and Particle Interactions
  • HIV, Drug Use, Sexual Risk
  • Advanced Algorithms and Applications
  • Soil Carbon and Nitrogen Dynamics
  • IoT and Edge/Fog Computing
  • Advanced Neural Network Applications
  • Data Stream Mining Techniques
  • High-Energy Particle Collisions Research

Anhui Polytechnic University
2018-2024

Shandong Center for Disease Control and Prevention
2024

Xiangnan University
2024

Renmin University of China
2023

East China Normal University
2015-2018

Chinese Academy of Sciences
2007-2015

Institut Pasteur of Shanghai
2015

Shanghai Institutes for Biological Sciences
2015

Shanghai Key Laboratory of Trustworthy Computing
2015

Peking University
2008

Mixed lineage leukemia 5 (MLL5) protein is a trithorax family histone 3 lysine 4 (H3K4) methyltransferase that regulates diverse biological processes, including cell cycle progression, hematopoiesis and cancer. The mechanisms by which MLL5 stability regulated have remained unclear to date. Here, we showed cooperatively O-GlcNAc transferase (OGT) ubiquitin-specific protease 7 (USP7). Depletion of OGT in cells led decrease the level through ubiquitin/proteasome-dependent proteolytic...

10.1371/journal.pone.0145023 article EN cc-by PLoS ONE 2015-12-17

Abstract The transcription factor FOXP3 is essential for the differentiation and function of regulatory T cells (Treg). It established that GATA-3 induced in Treg under inflammatory conditions. stabilizes levels to avoid into inflammatory-like cells. IL-6 signal pathway influences sensitivity towards instability. mechanism regulating its relation remains unclear. Here we report how miR-125a-5p plays an important role conversion by IL-6. expression low steady state conditions can be inhibit...

10.1038/srep14615 article EN cc-by Scientific Reports 2015-10-01

Unmanned surface vehicles (USVs) have been widely used in research and exploration, patrol, defense. Autonomous navigation obstacle avoidance, as the essential technology of USVs, are key conditions for successful mission execution. However, fine modeling conventional algorithms cannot meet real-time precise behavior control strategy USVs complex environments, which poses a great challenge to autonomous policy. In this paper, deep reinforcement learning-based UANOA (USVs avoidance) method is...

10.1155/2021/5519033 article EN Mathematical Problems in Engineering 2021-05-04

10.1140/epjc/s10052-008-0606-6 article EN The European Physical Journal C 2008-05-06

Digital down converter (DDC) is the one of key technologies in field software define radio (SDA). Compared with traditional ASIC DDC devices, DDCs implemented by FPGA have more flexible frequency and phase characteristics higher precision computation. The paper designed above advantages on Xilinx Virtex-5. Through analyzing points theory MATLAB simulation analysis, across clock region FIFO interface using ISE. Some important practical implementation details are given this paper. And finally...

10.1109/icosp.2010.5654948 article EN 2010-10-01

Abstract Accurate temporal resolution of the eikonal equation forms cornerstone seismological studies, including microseismic source localization, and travel-time tomography. Physics-informed neural networks (PINNs) have gained significant attention as an efficient approximation technique for numerical computations. In this study, we put forth a novel model named Eiko-PIGCNet, graph convolutional network that incorporates physical constraints. We demonstrate effectiveness our proposed in...

10.1093/jge/gxad061 article EN cc-by Journal of Geophysics and Engineering 2023-08-22

Abstract Entity synonyms play a significant role in entity-based tasks. Previous approaches use linguistic syntax, distributional, and semantic features to expand entity synonym sets from text corpora. Due the flexibility complexity of Chinese language expression, aforementioned are still difficult robustly text, because these fail track holistic semantics among entities suffer error propagation. This paper introduces an approach for expanding based on bilateral context filtering strategy....

10.1007/s40747-023-01064-w article EN cc-by Complex & Intelligent Systems 2023-04-25

In the era of big data, we may adopt distributed architecture for a transaction processing system due to some reasons, including branches, heavy demand and operational expenditure, etc. terms CAP Theorem, associated with ACID properties is infeasible work well in architecture. It indispensable address how make trade-off between availability partition tolerance bank as it favors consistency system. this research, conduct two case studies question using logs collected from China. We mainly...

10.1109/wisa.2015.63 article EN 2015-09-01

This work develops a construction pattern for the wireless sensor network. While existing works have developed various methods water quality detection tasks, they primarily focused on establishment of network in single area to collect and transmit data general overlooked combination multiple areas, which has geographical limitations. As such, these can be suboptimal monitoring quality. In this paper, we propose new framework named WQD, short detection. Firstly, perform detailed feature...

10.1109/bigdia.2019.8802739 article EN 2019-07-01
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