Undergraduate (Senior)

Beijing University of Posts and Telecommunications.

Lab:Natural Language Processing Group,

State Key Lab of Intelligent Technology and Systems,

National Lab for Information Science and Technology,

Tsinghua University,Beijing, China.

ACL member, CCF student memberEmail: minma.cs.bupt@gmail.com

Skype ID: Chinesemin99

SpotlightsMy team is awarded the Meritorious Winner out of 735 teams from different countries in ICM2011 (U.S. Interdisciplinary Contest in Modeling) ! More My full paper: My team has developed a toolkit for Speech Recognition based on Scilab platform! Demo | Research InterestsCV)
Text Mining: Latent Semantics Indexing, Probabilistic Latent Semantics, Latent Dirichlet Allocation, Social Networks, Hierarchy Dirichlet Process, Labeled Latent Dirichlet Allocation. Statistics Theories: Markov Chain Monte Carlo, Gibbs Sampling, Expectation Maximization, Maximum Likelihood Estimation, Hidden Markov Model, Conditional Random Field, Gaussian Processes, Poisson Processes, Dynamic Programming,Graphical Models. Machine Learning: Linear and Logistic Regression, Decision Trees, Linear Discriminant Analysis, Support Vector Machines, Boosting, Clustering Algorithms. Natural Language Processing Knowledge: Parsing and POS Tagging, Lexical Semantics; Knowledge Representation, Temporal Reasoning and Extraction, Statistical Natural Language Modeling, Reinforcement Learning, Learning to Rank, Paraphrasing. Linguistic Skills: Chinese (mandarin) : proficient; English: proficient; French: basic; Japanese: basic.
Research Assistant, NLP Group, State ü ·
Utilized and conducted an · To overcome the inherent credit attribution problem of LDA for keyword extraction from large multi-labeled corpora, built up one-to-one correspondences between LDA’s latent topics and user’s tags. Experimentalized on Sina microblog. ·
Put forward to employ adaptive ü ·
Inspired by the character selection algorithms of
text classification, translated the Chinese word segmentation into sequence
tagging through character tagging process. Employed ·
Proposed a refined parsing method by expanding
the scope of potential parsing candidates beyond the local context, with
adoption of word
Research Assistant, Quantum Information Group, State (Supported by College Student Innovation Fund of BUPT) · Learned about · Put forward an attracting method toward a new · Compiled the first interpretable brochure about
Research Assistant, Math and Physics Innovation Lab, BUPT · Probed the impact factors through statistical analysis of relevant data and deep interviews of six respondents. Introduced subjective norm, balanced demand, and perceived risk variables into the classical · Processed a survey report. Development strategies based on these impact factors for TV market were also given. (August 2010–September 2010)· Introduced acoustic features to design comprehensive similarity measurement of Chinese phonogram, developed · Raised new classification standards for Chinese phonogram. Accomplished new classification chart for foreign learners. · Simplified the transportation system into directed graph. Considering the basic needs of stop, transfer and cost with different priorities, constructed multi-objective optimization model based on spots searching. Solved by improved · Raised double-objective optimization model based on line searching. Introduced concepts of · Visualized the distributions of main heavy metal elements in city using Matlab, accessed the pollution degree by
Online Labeled LDA: a partially supervised topic model for topic extraction from microblog (
· IT Skills: C,C++, Python, Java, HTML, XML; · Mathematical Software skills: Mathematica, Scilab, SPSS, Sybase, Lingo
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