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Bing Liu

Bing Liu is a Chinese-American professor of computer science who specializes in data mining, machine learning, and natural language processing. In… Expand
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Computer scienceData miningList of Fellows of the Association for Computing MachineryMICAI
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Papers overview

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Review
2019
Review
2019
Statistical Model Checking-Based Analysis of Biological Networks
We introduce a framework for analyzing ordinary differential equation (ODE) models of biological networks using statistical model… Expand
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2018
2018
Ultrafast hot carrier dynamics of ZrTe$_5$ from time-resolved optical reflectivity
We investigate the hot carrier dynamics of ZrTe$_5$ by ultrafast time-resolved optical reflectivity. Our results reveal a phonon… Expand
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2017
2017
Stabilisation and control of a class of discrete-time nonlinear stochastic output-dependent system with random missing measurements
ABSTRACT Control and stabilisation of a class of discrete-time output-dependent nonlinear stochastic system subject to missing… Expand
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2015
2015
RAB 2 A Polymorphism Impacts Prefrontal Morphology , Functional Connectivity , and Working Memory
Calbindin-containing g-aminobutyric acid (GABA)ergic interneurons in the prefrontal cortex (PFC) have been found to play an… Expand
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Review
2011
Review
2011
Combining lexicon-based and learning-based methods for twitter sentiment analysis
With the booming of microblogs on the Web, people have begun to express their opinions on a wide variety of topics on Twitter and… Expand
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2010
2010
Distributional Similarity vs. PU Learning for Entity Set Expansion
Distributional similarity is a classic technique for entity set expansion, where the system is given a set of seed entities of a… Expand
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2008
2008
Automatic extraction of outbreak information from news
With the explosion of unstructured data on the Web, especially in the form of text, there has been a lot of interest to mine… Expand
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2004
2004
Mining Web pages for data records
Data mining to extract information from Web pages can help provide value-added services. The MDR (mining data records) system… Expand
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Highly Cited
2003
Highly Cited
2003
Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression
The problem of learning with positive and unlabeled examples arises frequently in retrieval applications. We transform the… Expand
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Highly Cited
2002
Highly Cited
2002
Partially Supervised Classification of Text Documents
We investigate the following problem: Given a set of documents of a particular topic or class P , and a large set M of mixed… Expand
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