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BEIJING ZHONGKE SCIENCES RES INSTITUTE

Overview
  • Total Patents
    12
  • GoodIP Patent Rank
    142,297
About

BEIJING ZHONGKE SCIENCES RES INSTITUTE has a total of 12 patent applications. Its first patent ever was published in 2019. It filed its patents most often in China. Its main competitors in its focus markets computer technology, it methods for management and digital networks are VISION SEMANTICS LTD, XNOR AI INC and ZHUHAI THINKJOY INFORMATION TECH CO LTD.

Patent filings in countries

World map showing BEIJING ZHONGKE SCIENCES RES INSTITUTEs patent filings in countries
# Country Total Patents
#1 China 12

Patent filings per year

Chart showing BEIJING ZHONGKE SCIENCES RES INSTITUTEs patent filings per year from 1900 to 2020

Top inventors

# Name Total Patents
#1 Zhang Yongdong 12
#2 Deng Xuran 7
#3 Mao Zhendong 5
#4 Xie Hongtao 4
#5 Li Yan 3
#6 Shang Zhihua 2
#7 Sun Wenhao 1
#8 Zhu Jiaqi 1
#9 Huang Mengqi 1
#10 Yang Jian 1

Latest patents

Publication Filing date Title
CN112199608A Social media rumor detection method based on network information propagation graph modeling
CN111984872A Multi-modal information social media popularity prediction method based on iterative optimization strategy
CN111817710A Memristor-based hybrid logic XNOR circuit and XNOR computing array
CN111314331A Unknown network attack detection method based on conditional variation self-encoder
CN111275167A High-energy-efficiency pulse array framework for binary convolutional neural network
CN111222583A Image steganalysis method based on confrontation training and key path extraction
CN111079444A Network rumor detection method based on multi-modal relationship
CN111160452A Multi-modal network rumor detection method based on pre-training language model
CN111144314A Method for detecting tampered face video
CN111144131A Network rumor detection method based on pre-training language model
CN111259720A Unsupervised pedestrian re-identification method based on self-supervision agent feature learning
CN110378356A Fine granularity image-recognizing method based on multiple target Lagrange canonical