General

Huaming Liao

Associate professor of the Institute of Computing Technology, Chinese Academy of Sciences

Email: lhm@ict.ac.cn

Telephone: 010-62600938

Postcode: 100190

Research Areas

Dr. Liao is a associate professor of the Institute of Computing Technology, Chinese Academy of Sciences. Her main research areas are big data analysis and application, Internet information retrieval, and distributed data processing technology. She has presided over the research and development of "large-scale data processing environment construction and related research" and "Hadoop commercial prototype cooperation project", and presided over the research and development of the National Search Engine - People's Search Engine system and key technologies as the acting leader. She ever won the second prize of the National Science and Technology Progress Award and the first prize of the Electronic Information Science and Technology Award of the China Electronics Society.


Publications

   
Papers

  • WANG Xin-le, YANG Wen-feng, LIAO Hua-ming, etc., Topic tag popularity prediction based on multi-dimensional features, Journal of Shandong University (Science Edition), 2019

  • Xicheng Dong, Ying Wang and Huaming Liao, Scheduling Mixed Real-time and Non-real-time Applications in MapReduce Environment, the 17th IEEE International Conference on Parallel and Distributed Systems(ICPADS 2011), Dec. 7-9, Tainan, Taiwan

  • Liao HM, Pei GS, Cache-based aggregate query shipping: An efficient scheme of distributed OLAP query processing,JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 23(6): 905-915 Nov. 2008

  • Rubao Lee, Minghong Zhou, Huaming Liao: Request Window: an Approach to Improve Throughput of RDBMS-based Data Integration System by Utilizing Data Sharing across Concurrent Distributed Queries. VLDB 2007: 1219-1230

  • MingHong Zhou, HuaMing Liao, and Feng Li, Schema Adaptation Under Multi-relation Dependencies，GCC 2005


Patents

Dynamically adaptive LSM tree merging method and system, CN105159915B

A personalized paper recommendation method and its system, CN103336793A

Multiple query intent recognition method and system, CN103235812A

A query error correction method and system, CN103198149A

A lung nodule image block retrieval method and device based on convolution neural network, CN106874489B

Chinese search engine query error correction method and system based on error pattern mining, CN103246714A