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, Data augmentation, Material discovery; Information extraction, Taxonomy construction, Knowledge graph; Natural language generation, open-domain question answering, question generation, summarization; Intelligent assistance, NLP for education and mental health; Large language model, Reasoning, Instruction tuning, RAG, Personalization, Machine unlearning for safety.

Faculty

Meng Jiang

DM2 @ Github

Check our repositories!

Current Postdoc

Dr. Sobin Alosious: Lucy Postdoc Fellow (2024-)

AI for Material Science

Current Graduate Students

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

Question Generation

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

LLM for Mental Health

Zhihan Zhang: PhD student (2021-)

Instruct LLM

Gang Liu: PhD candidate (2021-) with 2024-2025 IBM PhD Fellowship

Graph Learning

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

Graph Learning

Hy Dang: PhD student (2022-)

RAG

Noah Ziems: PhD student (2022-)

Instruct LLM

Bang Nguyen: PhD student (2022-)

Question Generation

Mengzhao Jia: PhD student (2023-)

Vision Language Model

Zhaoxuan Tan: PhD student (2023-)

Personalized LLM

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

Machine Unlearning

Yihan Zhu: PhD student (2024-)

Graph Learning

Yining Lu: PhD student (2024-)

LLM Evaluation

Current Undergraduate Student

Olivia Zino: REU (08/2024-)

AI for Education

Lang Li: REU (08/2024-)

AI for Education

Zach Petko: iTREDS Scholar (01/2025-)

AI as Coding Assistant

Vincent Andriacco: iTREDS Scholar (01/2025-)

AI as Coding Assistant

John Kim: iTREDS Scholar (01/2025-)

Safer AI with Unlearning

Katherine O'Roark (Saint Mary's College): iTREDS Scholar (01/2025-)

Safer AI with Unlearning

Thomas Mitchell: REU (01/2025-)

Personalized Decoding for LLMs

Past Graduate Students

Daheng Wang: PhD (2021)

User Modeling, Graph Learning

Employment: Applied Scientist at Amazon

Dissertation: Learning Complementarity and Dynamics for Contextual Behavior Modeling

Tong Zhao: PhD (2022) with Snap Fellowship

Graph Data Augmentation

Employment: Research Scientist at Snap Inc.

Dissertation: Learning to Augment Data in Graphs

Wenhao Yu: PhD (2023) with Bloomberg Fellowship

LLM and Question Answering

Employment: Research Scientist at Tencent AI

Dissertation: Improving Scientific Information Extraction with Text Generation

Qingkai Zeng: PhD (2024)

Taxonomy Construction

Employment: Postdoctoral Research Associate at Amazon

Dissertation: Learning Complementarity and Dynamics for Contextual Behavior Modeling

Xueying Wang: Master's Degree (2019)

Information Extraction

Employment: Data Scientist at FedEx

Bhakti Sharma: Master's Degree (2020)

Sentiment Analysis

Employment: SDE at VISO Trust

Jianing Li: Master's Degree (2020)

Transfer Learning

Luke Siela: Master's Degree (2022)

Data Science

Employment: General Electric

Tianwen Jiang: Visiting PhD student (2018-2019)

Information Extraction

Employment: Tencent

Zhenyu Wu: Visiting PhD student (2024-2025)

LLM Reasoning

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

David Liu: REU (05/2023-12/2023)

Large language model

John Flanagan: REU (05/2023-12/2023)

Large language model

Past Highschool Students

Ishita Masetty (09/2022-12/2022): Analyzing LLM performance on emotional support
Jake Ciliberti (09/2022-12/2022): Analyzing graph data
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.
Albert Lu (05/2022-12/2024): First year at Culver Academies. Research on NLP and text classification. Published a first-author paper at KDD 2023 workshop. Won the first place in the 2024 Northern Indiana Regional Science and Engineering Fair.