DM² Lab: Data Mining towards Decision Making

"We develop data-driven computational methods and intelligent systems to facilitate decision making." -- dm_square

Data mining and NLP: User modeling, Recommender system, Fraud detection; Graph neural network, Graph anomaly detection; Information extraction, Taxonomy construction, Knowledge graph construction; Natural language generation, open-domain question answering, question generation, summarization; Intelligent assistance, NLP for education and mental health.

Faculty

Meng Jiang

DM2 @ Github

Check our repositories!

Current Graduate Students

Qingkai Zeng: PhD candidate (2018-)

Information extraction, Taxonomy construction

Mengxia Yu: PhD student (2020-); CSE Select Fellowship

NLP, Scientific text mining

Lingbo Tong: PhD student (2020-); Psychology-CSE Joint Program

NLP, Mental health, Social media analysis

Zhihan Zhang: PhD student (2021-)

NLP, Question answering

Gang Liu: PhD student (2021-)

Graph machine learning

Eric Inae: PhD student (2022-); Dean's Fellowship

Graph machine learning

Hy Dang: PhD student (2022-)

Knowledge graph, Mental health

Noah Ziems: PhD student (2022-)

NLP, Question answering

Bang Nguyen: PhD student (2022-)

NLP, Question generation

Mengzhao Jia: PhD student (2023-)

NLP

Zhaoxuan Tan: PhD student (2023-)

NLP

Zheyuan (Frank) Liu: PhD student (2023-)

Graph machine learning

Current Undergraduate Students

John Flanagan: REU (2023-)

Large language model

David Liu: REU (2023-)

Large language model

Current Highschool Student

Albert Lu (05/2022-): First year at Culver Academies. Research on NLP and text classification. Published a first-author paper at KDD 2023 workshop.

Past Graduate Students

Daheng Wang: PhD (2021)

User modeling, Graph representation learning, Dynamic graph modeling

First employment: Research Scientist at Amazon.com

Tong Zhao: PhD (2022) with Snap Fellowship

Graph machine learning, Data augmentation, Anomaly detection

First employment: Research Scientist at Snap Inc.

Wenhao Yu: PhD (2023) with Bloomberg Fellowship

Question Answering and Large Language Model

First employment: Research Scientist at Tencent AI

Xueying Wang: Master's Degree (2019)

Information extraction

Employment: Data Scientist at FedEx

Bhakti Sharma: Master's Degree (2020)

NLP, Sentiment analysis

Employment: SDE at VISO Trust

Jianing Li: Master's Degree (2020)

Deep transfer learning

Luke Siela: Master's Degree (2022)

Data Science

Employment: General Electric

Tianwen Jiang: Visiting PhD student (2018-2019)

Information extraction

Employment: Tencent

Past Undergraduate Students

Alvin Alaphat (01/2020-05/2020): Predicting outcomes of NSF projects from abstracts.
Xiangyu Dong (09/2019-05/2020): News generation using NLP.
Zaitang Li (09/2019-05/2020): Survey on natural language generation.
Matthew Malir (01/2018-05/2018): Actionable fraud detection.
Bo Ni (09/2019-02/2021): Graph learning for fraud detection.
Chan Hee (Luke) Song (09/2019-03/2020): Question answering for NER.
Yuhan (Tina) Wu (09/2018-05/2019): Supervised topic modeling.

Michael Lee: REU (05/2020-05/2021)

Social media analysis

Fangcong Yin: REU (09/2020-08/2021)

Diverse text generation

Joseph Kuebler: REU (01/2021-05/2021)

Scientific fact extraction

First authored in 1 IEEE ICBK

Ann Hermann: REU (05/2020-08/2021)

Extracting profiles and social networks from Chinese history text

Ryan Pairitz: REU (01/2022-05/2022)

Graph machine learning

Yunxiang Yan: REU (09/2021-08/2022)

Graph anomaly detection

Weike Fang: REU (01/2022-05/2023)

Natural langauge generation

Jackson Ballow: REU (01/2021-05/2023)

Graph machine learning

Past Highschool Students

Ishita Masetty (09/2022-): NLP, large language model
Jake Ciliberti (09/2022-): Data mining, graph analysis
Michael Florin (09/2019-07/2020): Analyzing peer responses on Reddit to suicidal ideation.
Eric Zhang (09/2018-07/2020): Predicting user gender based on clicked news articles.
Rebekah Fang and Libby Garnett (09/2020-12/2021): Predicting the category of emotional support in responses to suicidal thoughts: Won the second place in the 2021 Northern Indiana Regional Science and Engineering Fair. Recommended to the 33rd Annual Hoosier Science and Engineering Fair (HSEF).