鲍杨

2022

Predicting Corporate Risk by Jointly Modeling Company Networks and Dialogues in Earnings Conference Calls

arXiv.org

DOI

2020

Detecting Accounting Fraud in Publicly Traded US Firms Using a Machine Learning Approach

Journal Of Accounting Research，Vol. 580, No. 10

DOI

2020

Artificial Intelligence and Fraud Detection

Social Science Research Network

DOI

2014

Simultaneously Discovering and Quantifying Risk Types from Textual Risk Disclosures

Management Science，Vol. 600, No. 60

DOI

2014

Efficient Automatic Search Query Formulation Using Phrase-Level Analysis

Journal Of The Association For Information Science And Technology，Vol. 650, No. 5

DOI

2014

Leveraging Decomposed Trust in Probabilistic Matrix Factorization for Effective Recommendation

AAAI Conference on Artificial Intelligence

DOI

2014

TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation

AAAI Conference on Artificial Intelligence

DOI

2013

Towards effective online review systems in the Chinese context: A cross-cultural empirical study

Electronic Commerce Research and Applications

DOI

2013

The Impact of Textual Corporate Risk Disclosures on Risk Perceptions of Investors

Pacific Asia Conference on Information Systems

2013

A partially supervised cross-collection topic model for cross-domain text classification

International Conference on Information and Knowledge Management

DOI

2012

Summarization of Corporate Risk Factor Disclosure through Topic Modeling

International Conference on Interaction Sciences

2011

NUSIS at TREC 2011 Microblog Track: Refining Query Results with Hashtags

Text Retrieval Conference

A Response to “Critique of an Article on Machine Learning in the Detection of Accounting Fraud”