Innovative analysis of a growing industry.

The Data Mining Iowa Group (DMIG) is an academic space for presenting, discussing, and improving cutting-edge research projects conducted by members and/or by leading experts in Data Mining, Information Systems, and Business Analytics. The research group is hosted by the Business Analytics Department and welcomes participation from students and faculty across the university.

Contact DMIG

Spring 2023 Seminars

Feb 17

12:30 - 2:00 pm 

Han Bao

Business Analytics

Topic: Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks

Feb 24

12:30 - 2:00 pm 

Ling Tong

Business Analytics

Topic: Transformers: Attention is All You Need

Mar 3

1:00 - 2:00 pm 

Bang An 

Business Analytics

Topic: Transformer Hawkes Process

Mar 10

1:00 - 2:00 pm 

Sadjad Anzabi Zadeh

Business Analytics

Topic: In-context Reinforcement Learning with Algorithm Distillation  

Mar 24

12:30 - 2:00 pm 

Ronilo Ragodos

Business Analytics

Topic: On the Existence of Simpler Machine Learning Models

Mar 31

12:30 - 2:00 pm 

Shenghao Wang

Business Analytics

 

Apr 7

2:30 - 4:00 pm 

Brianna Mueller

Business Analytics

Topic: Graph-based Dynamic Ensemble Pruning for Facial Expression Recognition

Apr 14

2:30 - 4:00 pm 

Chengyue Huang

Business Analytics

Topic: Domain Adaptive Fake News Detection via Reinforcement Learning

Apr 21 

10:00 - 11:00 am 

Junho Yoon 

Business Analytics

Topic: GNN Explainer: A Tool for Post-hoc Explanation of Graph Neural Networks

Apr 28

2:30 - 4:00 pm 

Anindita Bandyopadhyay

Business Analytics

Topic: A Path Towards Autonomous Machine Intelligence

 

Fall 2022 Seminars

Aug 26

12:30-2:00pm

 Welcome/Logistics

Sep 2

1:00-2:30pm

Buddhika Nettasinghe

Business Analytics

Topic: Quantifying Uncertainty in Hidden Markov Models via Conformal Prediction

Sep 9

12:30-2:00pm

Xiangyu Wang

Business Analytics

Topic: Go to YouTube and call me in the morning: Use of social media for chronic conditions

Sep 16

12:30-2:00pm

Yankun Huang

Business Analytics

Topic: Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization

Sep 23

12:30-2:00pm

Tengjia Shu

Finance

Topic: From Stock Return Predictability to Mutual Fund Performance: A Machine-learning Approach

Sep 30

12:30-2:00pm

Lan Luo

Statistics and Actuarial Science

Topic: Statistical Inference for Streamed Longitudinal Data

Oct 7

1:00-2:30pm

Anindita

Business Analytics

Topic: Mixed-effects models for health care longitudinal data with an informative visiting process: A Monte Carlo simulation study

Oct 14

12:30-2:00pm

Brianna

Business Analytics

Topic: Peer Adaptive Ensemble Learning: An Asynchronous and Decentralized Collaborative Learning Approach

Oct 21

12:30-2:00pm

Han Bao

Business Analytics

Topic: DALLE

Oct 28

12:30-2:00pm

Sadjad

Business Analytics

Topic: Discovering faster matrix multiplication algorithms with reinforcement learning

Nov 4

1:00-2:30pm

Junho

Business Analytics

Topic: Modeling Relational Data with Graph Convolutional Networks

Nov 11

12:30-2:00pm

Chengyue Huang

Business Analytics

Topic: Tutorial about zero shot and few shot learning in NLP

Nov 18

1:00-2:30pm

Shenghao Wang

Business Analytics

Topic: Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network

Dec 2

1:00-2:30pm

Dat Hong

Computer Science

Topic: AdaAX: Explaining Recurrent Neural Networks by Learning Automata with Adaptive States

 

Spring 2022 Seminars

Jan 21
12:30–2:00 p.m.

 Welcome/Logistics
Jan 28
12:30–2:00 p.m.

Sadjad Anzabi Zadeh
Business Analytics
TOPIC: Optimal Warfarin Dosing Using Deep Reinforcement Learning
Feb 4
1:00–2:30 p.m.		 Ronilo Ragodos
Business Analytics
TOPIC: Interpretable Image Recognition with Hierarchical Prototypes
Feb 11
12:30–2:00 p.m.		 Maryam Rahmani Moghaddam
Business Analytics
TOPIC: Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph
Feb 18
1:00–2:30 p.m.		 Alaa AlBashayreh
Nursing
TOPIC: Mining Fall-related Information in Clinical Notes: Comparison of Rule-based and Novel Word Embedding-based Machine Learning Approaches
Feb 25
12:30–2:00 p.m.

Xiangyu Wang
Business Analytics
TOPIC: Predicting Users' Continued Engagement in Online Health Communities from the Quantity and Quality of Received Support.
Mar 4
1:00–2:30 p.m.		 Naveen Ramaraju
Business Analytics
TOPIC: How Well do Feature Visualizations Support Causal Understanding of CNN Activations?
Mar 11
12:30–2:00 p.m.

Yichen Ding
Business Analytics
TOPIC: Anticipative Video Transformer
Mar 18
 

Spring Break
Mar 25
12:30–1:30 p.m.		 Bang An
Business Analytics
TOPIC: A Hierarchical Approach to Multi-Event Survival Analysis
Apr 1
1:30-–3:00 p.m.		 Sulyun Lee
Informatics
TOPIC: dyngraph2vec: Capturing Network Dynamics Using Dynamic Graph Representation Learning
Apr 8
12:30–2:00 p.m.		 Junho Yoon
Business Analytics
TOPIC: Neural Message Passing for Quantum Chemistry
Apr 15
12:30–2:00 p.m.              		 Shenghao Wang
Business Analytics
TOPIC: PGE: Robust Product Graph Embedding Learning for Error Detection

Apr 22
12:30–2:00 p.m. 

Brianna Mueller
Business Analytics
TOPIC: A case-based interpretable deep learning model for classification of mass lesions in digital mammography
Apr 29
12:30–2:00 p.m. 		 Chengyue Huang
Business Analytics
TOPIC: Making Sense of the black-boxes: Toward interpretable text classification using deep learning models
May 6
1:30–3:00 p.m. 		 Han Bao
Geoinformatics
TOPIC: Epidemic Graph Convolution Network
May 13 Final Exam Week

Fall 2021 Seminars

Aug 27
12:30–2:00 p.m.		 Welcome/Logistics
Sep 3
1:10–2:40 p.m.

Naveenkumar Ramaraju
Business Analytics
TOPIC: Longformer: The Long-Document Transformer
Sep 10
12:30–2:00 p.m.		 Boxiang Wang
Statistics
TOPIC: Magic Cross-Validation for Support Vector Machines and Related Large Margin Classifiers
Sep 17
12:30–2:00 p.m.		 Shenghao Wang
Business Analytics
TOPIC: A Deep Learning Method for Route and Time Prediction in Food Delivery Service
Sep 24
12:30–2:00 p.m.		 Sadjad Anzabi Zadeh
Business Analytics
TOPIC: Outcome-Driven Personalized Treatment Design for Managing Diabetes
Oct 1
1:10–2:40 p.m.

Han Bao
Geoinformatics
TOPIC: Adaptive Transfer Learning on Graph Neural Networks

Chengyue Huang
Business Analytics
TOPIC: Extracting Temporal and Causal Relations Based On Event Networks
Oct 15
12:30–2:00 p.m.		 Ronilo Ragodos
Business Analytics
TOPIC: Reinforcement Learning with Prototypical Representations
Oct 22
12:30–2:00 p.m.

Maryam Rahmani Moghaddam
Business Analytics
TOPIC: How Quantifying the Shape of Stories Predicts Their Success

Xiangyu Wang
Informatics
TOPIC: Understanding the Spread of COVID-19 Misinformation on Social Media: The Effects of Topics and a Political Leader's Nudge
Oct 29
12:30–2:00 p.m.

Junho Yoon
Business Analytics
TOPIC: Discovery of Technological Innovation Systems: Implications for Predicting Future Innovations
Nov 5
1:10–2:40 p.m.		 Sulyun Lee
Informatics 
TOPIC: Hierarchy2vec--Representation Learning in Hierarchical Collaboration Networks for Team Performance Prediction
Nov 12
12:3-–2:00 p.m.		 Bang An
Business Analytics
TOPIC: HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data
Nov 19
12:30–2:00 p.m.		 Yichen Ding
Business Analytics
TOPIC: Representing Videos as Discriminative Sub-graphs for Action Recognition
Dec 3
1:10–2:40 p.m.		 Xiangyu Wang
Informatics
TOPIC: Jumpstarting Online Interactions to Promote Smoking Cessation: Analyzing the Role of Seed Users in an Online Health Community

Spring 2021 Seminars

January 29
12:30–2:00 p.m.		 Welcome/Logistics
February 5
1:10–2:40 p.m.

Sadjad Anzabi Zadeh
Business Analytics
TOPIC: Dota 2 with Large Scale Deep Reinforcement Learning
February 12
12:30–2:00 p.m.		 Bang An
Business Analytics
TOPIC: RiskOracle: A Minute-level Citywide Traffic Accident Forecasting Framework
February 19
12:30–2:00 p.m.		 Ronilo Ragodos
Business Analytics
TOPIC: MOPO: Model-based Offline Policy Optimization
February 26
12:30–2:00 p.m.		 Kang Pyo Lee
Business Analytics
TOPIC: Leveraging Twitter for Social Trend Analysis and Stock Market Prediction
March 5
1:10–2:40 p.m.		 John Rios
Business Analytics
TOPIC: Cascade-LSTM: A Tree-Structured Neural Classifier for Detecting Misinformation Cascades
March 12
12:30–2:00 p.m.		 Han Bao / Chengyue Huang
Informatics / Business Analytics
TOPIC: TAdaNet: Task-Adaptive Network for Graph-Enriched Meta-Learning / Predicting Individual Well-Being Through the Language of Social Media
March 19
12:30–2:00 p.m.		 Xiangyu Wang / Junho Yoon
Informatics / Business Analytics
TOPIC: Proximate Social Factors in First-Time Contribution to Online Communities / Graph Attention Networks
March 26
12:30–2:00 p.m.		 Eric Pahl
TOPIC: Machine Learning for Survival Prediction in Organ Transplantation
April 2
1:10–2:40 p.m.		 Maryam Rahmani Moghaddam
Business Analytics 
TOPIC: Entrepreneurs' Facial Trustworthiness, Gender, and Crowdfunding Success
April 9
12:3-–2:00 p.m.		 Sulyun Lee
Informatics
TOPIC: OptMatch: Optimized Matchmaking via Modeling the High-Order Interactions on the Arena
April 16
12:30–2:00 p.m.		 Yichen Ding
Business Analytics
TOPIC: Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
April 23
12:30–2:00 p.m.		 Shenghao Wang
Business Analytics
TOPIC: Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
April 30
12:30–2:00 p.m.		 Naveenkumar Ramaraju
Business Analytics
TOPIC: Heidegger: Interpretable Temporal Causal Discovery
May 7
1:10–2:40 p.m.		 Ling Tong
Business Analytics
TOPIC: Deformable DETR: Deformable Transformers for End-to-End Object Detection
May 14 Final Exam

Past Seminars

August 28
12:30–2:00 p.m.
Zoom

Welcome/Logistics

September 4
1:00–2:30 p.m.
Zoom

Ronilo Ragodos
Business Analytics
TOPIC: Interpretable Reinforcement Learning Agent Using Prototype Based Q-Learning

September 11
12:30–2:00 p.m.
Zoom

 John Rios
Business Analytics
TOPIC: Predicting Stock Price Movements in Supply Chain Networks
September 18
12:30–2:00 p.m.
Zoom

Han Bao
Informatics
TOPIC: COVID-GAN: Estimating Human Mobility Responses to COVID-19 Pandemic through Spatio-Temporal Conditional Generative Adversarial Networks
September 25
12:30–2:00 p.m.
Zoom

Xiangyu Wang
Informatics
TOPIC: The Role of Social Influence in the Co-Diffusion of Information and Behaviors in Online Social Networks
October 2
1:00–2:30 p.m.
Zoom

Yichen Ding
Business Analytics
TOPIC: Cycling-Net: A Deep Learning Approach to Predicting Cyclist Behaviors from Geo-Referenced Egocentric Video Data
October 9
12:30–2:00 p.m.
Zoom

Chengyue Huang
Business Analytics
TOPIC: Quantifying Mental Health Signals in Twitter
October 16
12:30–2:00 p.m.
Zoom

Junho Yoon
Business Analytics
TOPIC: Automated Patent Landscaping
October 23
12:30–2:00 p.m.
Zoom

Sulyun Lee
Informatics
TOPIC: Heterogeneous Graph Neural Network
October 30
12:30–2:00 p.m.
Zoom

Sadjad Anzabi Zadeh
Business Analytics
TOPIC: The Artificial Intelligence Clinician Learns Optimal Treatment Strategies for Sepsis in Intensive Care
November 6
1:00–2:30 p.m.
Zoom

Bang An
Business Analytics
TOPIC: ST-SiameseNet: Spatio-Temporal Siamese Networks for Human Mobility Signature Identification
November 13
12:30–2:00 p.m.
Zoom

Shenghao Wang
Business Analytics
TOPIC: Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba
November 20
12:30–2:00 p.m.
Zoom

Naveenkumar Ramaraju
Business Analytics
TOPIC: dEFEND: Explainable Fake News Detection
November 27

Thanksgiving Break
December 4
1:00–2:30 p.m.
Zoom		 Ling Tong
Business Analytics
TOPIC: End-to-End Object Detection with Transformers

January 24
12:30–2:00 p.m.
C320R PBB

Welcome/Logistics

January 31
1:30–3:00 p.m.
C320R PBB

Dr. Xun Zhou
Business Analytics
TOPIC: Dissecting the Learning Curve of Taxi Drivers: A Data-Driven Approach (Extended version is available here)

February 7
12:30–2:00 p.m.
C320R PBB

Han Bao
Informatics
TOPIC: Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information

February 14
1:30–3:00 p.m.
C320R PBB

Junho Yoon
Business Analytics
TOPIC: Differentiating buzzwords from innovations through the discovery of technology ecosystems

February 21
12:30–2:00 p.m.
C320R PBB

Naveenkumar Ramaraju
Business Analytics
TOPIC: A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms

February 28
12:30–2:00 p.m.
C320R PBB

John Rios
Business Analytics
TOPIC: Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks

March 6
12:30–2:00 p.m.
C320R PBB

Prof. Nick Street
Business Analytics
TOPIC: Inverse Classification: Better Algorithms for Better Decision Making

March 13
1:30–3:00 p.m.
C320R PBB

 Xiangyu Wang
Information Science
TOPIC: Investigate Transitions into Drug Addiction through Text Mining of Reddit Data

March 20

 

Spring Break

March 27
12:30–2:00 p.m.
Zoom Meeting

Sadjad Anzabi Zadeh
Business Analytics
TOPIC: Bandits and Reinforcement Learning

April 3
2:00–3:30 p.m.
Zoom Meeting

Ling Tong
Business Analytics
TOPIC: Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey

April 10
1:30–3:00 p.m.
Zoom Meeting

Maryam Rahmani Moghaddam
Business Analytics
TOPIC: Dynamic Routing Between Capsules

April 17
12:30–2:00 p.m.
Zoom Meeting

Nima Safaei
Business Analytics
TOPIC: DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning

April 24
12:30–2:00 p.m.
Zoom Meeting

Sulyun Lee
Business Analytics
TOPIC:

May 1
12:30–2:00 p.m.
Zoom Meeting

Shenghao Wang
Business Analytics
TOPIC:
May 8 End of Semester Party

August 30
13:30–3:00 p.m.
C320R PBB

Welcome/Logistics

September 6
13:30–3:00 p.m.
C320R PBB

Xiangyu Wang
Information Science
TOPIC: Are All Successful Communities Alike? Characterizing and Predicting the Success of Online Communities

September 13
13:30–3:00 p.m.
C320R PBB

John Rios
Business Analytics
TOPIC: Using Supply Chain and Competition Networks to Predict Firm Performance

September 20
13:30–3:00 p.m.
C320R PBB

Maryam Rahmani Moghaddam
Business Analytics
TOPIC: AENet: Learning Deep Audio Features for Video Analysis

September 27
13:30–3:00 p.m.
C320R PBB

Yunyi Li
Information Science
TOPIC: Piano Model: EmPower Interpretable Archetype with Orthogonal Black Boxes

October 4
13:30–3:00 p.m.
C320R PBB

Xinwei Chen / Sadjad Anzabi Zadeh
Applied Math / Business Analytics
TOPIC 1: Deep Q-Learning for Same-Day Delivery with a Heterogeneous Fleet of Vehicles and Drones
TOPIC 2: Optimal Warfarin Dosing Using Deep Reinforcement Learning

October 11
13:30–3:00 p.m.
C320R PBB

Xiangyu Wang / Yichen Ding / Hassan Rafiq
Information Science / Business Analytics / Applied Math
TOPIC 1: Predicting User Posting Activities in Online Health Communities with Deep Learning
TOPIC 2: Deep Learning with Interaction Terms: An Experimental Explorations
TOPIC 3: Model-Agnostic Linear Competitors - When Interpretable Models Compete and Collaborate with Black-box Models

October 18
13:30–3:00 p.m.
C320R PBB

 Sulyun Lee
Business Analytics 
TOPIC: Link Predictions For Social Networks in Online Health Communities

October 25
13:30–3:00 p.m.
C320R PBB

Junho Yoon
Business Analytics 
TOPIC: Identifying Customer Needs from User-generated Content

November 1
13:30–3:00 p.m.
C320R PBB

Sena Chae / Yichen Ding
College of Nursing / Business Analytics 
TOPIC 1: Prediction of Cancer Symptom Trajectories Using Longitudinal EHR Data and Long-short Term Memory Based Algorithm
TOPIC 2: Online Multi-Object Tracking Using CNN-based Single Object Tracker with Spatial-Temporal Attention Mechanism

November 8
13:30–3:00 p.m.
C320R PBB

Ling Tong
Business Analytics 
TOPIC: Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective

November 15
13:30–3:00 p.m.
C320R PBB

Shenghao Wang
Business Analytics
TOPIC: Real-time Personalization using Embeddings for Search Ranking at Airbnb

November 29
13:30–3:00 p.m.
C320R PBB

Thanksgiving Break

December 6
13:30–3:00 p.m.
C320R PBB

John Rios
Business Analytics
TOPIC: Temporal Relational Ranking for Stock Prediction

January 18
12:30–2:00p.m. C320R PBB

Welcome/Logistics

January 25
12:25–1:25p.m.
C320R PBB

Runchao Ma
Business Analytics 
TOPIC: Generative Adversarial Networks
Improved Training of Wasserstein GANs

February 1
12:30–2:00p.m.
C320R PBB

Zhiya Zuo
Information Science
TOPIC:

February 8
12:30–2:00p.m.
C320R PBB

Xiangyu Wang
Information Science
TOPIC: I Know You’ll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application

February 15

Spring 2019 Informatics Day

February 22
12:30–2:00p.m.
C320R PBB

Amin Vahedian / Yichen Ding
Business Analytics 
TOPIC: A Tutorial on LSTM Networks

March 1
1:30–3:00p.m.
C320R PBB

Maryam Rahmani Moghaddam
Business Analytics 
TOPIC: DeepCrime: Attentive Hierarchical Recurrent Networks for Crime Prediction

March 8
12:30–2:00p.m.
C320R PBB

Ling Tong
Business Analytics 
TOPIC: TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-rays

March 15
12:30–2:00p.m.
C320R PBB

Yichen Ding
Business Analytics 
TOPIC: You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis

March 22

Spring Break

March 29
12:30–2:00p.m.
C320R PBB

Sadjad Anzabi Zadeh
Business Analytics
TOPIC: The Voice of Optimization

April 5
1:30–3:00p.m.
C320R PBB

Shenghao Wang
Business Analytics 
TOPIC: Structural Deep Network Embedding

  

April 12   
12:30–2:00p.m.
C320R PBB

Sena Chae
College of Nursing
TOPIC: Comparison of Groups with Different Patterns of Symptom Cluster Intensity across the Cancer Treatment Trajectory

  

April 19   
12:30–2:00p.m.
C320R PBB

John Rios
Business Analytics 
TOPIC: Gated Graph Sequence Neural Networks 

  

April 26    
12:30–2:00p.m.
C320R PBB

Junho Yoon
Business Analytics 
TOPIC: Predicting High-Cost Patients at Point of Admission Using Network Science

  

May 3
1:30–3:00p.m.
C320R PBB

Ling Tong/Yichen Ding
Business Analytics 
TOPIC:

  

May 10

End of the Semester Party

August 24
12:30–2:30p.m.
C320R PBB

Barrett Thomas PhD
Business Analytics 
TOPIC: From Models to Methods: MDPs, ADP, and Reinforcement Learning

August 31
1:30–3:00p.m.
C320R PBB

Yuanyang Liu
Business Analytics 
TOPIC: The Effect of Skilled Immigrants and IT Skills on Employee Retention

September 7
1:00–2:30p.m.
C320R PBB

John Rios
Business Analytics 
TOPIC: Multi-relational Inter-firm Network Embedding for the Prediction of Stock Price Movements

September 14
12:30–2:00p.m.
C320R PBB

Amin Vahedian
Business Analytics 
TOPIC: Mining Big Mobility Data for Large Urban Event Analytics

September 21
1:30–2:20p.m.
C320R PBB

Maryam Rahmani Moghaddam
Business Analytics 
TOPIC: Multi-Frequency Convolutional LSTM for Crime Prediction

September 28
2:00–3:30p.m.
C320R PBB

Sadjad Anzabi Zadeh
Business Analytics 
TOPIC: New Statistical Learning Methods for Estimating Optimal Dynamic Treatment Regimes

October 5
12:30–2:30p.m.
C320R PBB

Yichen Ding
Business Analytics 
TOPIC: Learning to Navigate in Cities Without a Map

October 12
1:30–3:00p.m.
C320R PB

Zhiya Zuo
Information Science
TOPIC: Systematic Investigation on Faculty Hiring

October 19
12:30–2:00p.m.
C320R PBB

Kyle Peterson
Health Informatics
TOPIC: Belief Updating in the NCAA

October 26
12:30–2:00p.m.
C320R PBB

Mike Lash (1st)/Yunyi Li (2nd)
Computer Science/Information Science
TOPIC (1st): Optimizing Patient Outcomes via Inverse Classification
TOPIC (2nd): Next Hit Predictor: Self-exciting Risk Modeling for Predicting Next Locations of Series Crimes

November 2

INFORMS Annual Meeting

November 9
12:30–2:00p.m.
C320R PBB

Ronilo Ragodos
Math (AMCS)
TOPIC: Disjunctive Rule Lists for Interpretable Regression

November 16
12:30–2:00p.m.
C320R PBB

Bhupesh Shetty
Business Analytics 
TOPIC: Process Pattern Mining: Identifying Sources of Assignable Error Using Process Event Logs.

November 23

Thanksgiving Break

November 30
12:30–2:00p.m.
C320R PBB

Yuanyang Liu
Business Analytics 
TOPIC: This presentation is a job talk practice

December 7
1:30–3:00p.m.
C320R PBB

Ling Tong
Business Analytics 
TOPIC: Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models

December 14
Room: TBD

End of the Semester Party