Machine Learning Laboratory
RESEARCH TEAM
Director
Student Advisees
PhD
- Vasanth Reddy Baddam (Expected Graduation December 2024)
- Afrina Tabassum (Prelim Completed 2023)
- Ming Cheng (Qualifier Completed 2024)
- Jiazhen Hu (Joined 2024)
MS
- Gurkirat Singh (Expected Graduation December 2024)
- James Weichert (Expected Graduation May 2025)
- Adam Lahouar (Expected Graduation December 2025)
- Ahmed Aredah (Joined 2023)
- Wang Wei (Joined 2024)
Undergraduate
- Sami Kunaish (Joined 2024)
- Rayan Bouhal (Joined 2024)
- Muhammet Isa Bagci (Joined 2024)
Alumni
PhD
- Hongjie Chen (2024) Now Machine Learning Research Scientist @ Dolby
- Jiaying Gong (2024) Now Machine Learning Research Scientist @ EBAY
MS
- Humaid Desai (2023) Now Software Engineer @ Ellucian
- Vasanth Reddy Baddam (2022) Now PhD Student @ our machine learning lab
- Afrina Tabassum (2022) Now PhD Student @ our machine learning lab
- Chenhan Yuan (2021) Now PhD Student @ University of Manchester
- Milad Afzalan (2020) Now AI Researcher @ Schneider Electric
Undergraduate
- Yaseen Ahmed (2023) International Student Exchange
- Ahmed Hassan Fathi (2023) International Student Exchange
- Yuan Chen (BS 2021) Now MS Student @ Rice University
- Joshua Matthew (2020) Undergraduate researcher
- Tran Chau (2019-2020) Undergraduate researcher
- Mia Taylor (2020) Undergraduate researcher
STUDENT ACHIEVEMENTS
Fellowships
- Jiaying received the 2023 Pratt Excellence Fellowship!
- Jiaying received the 2022 Pratt Excellence Fellowship!
Journal Publications
2024
Chenhan @ IEEE Transactions on Big Data
A Reinforcement Learning Framework for N-ary Document-Level Relation Extraction
C. Yuan, R. Rossi, A. Katz, and H. Eldardiry
Impact Factor 7.2Hongjie @ ACM Transactions on Knowledge Discovery from Data (TKDD)
Graph Time-Series Modeling in Deep Learning: A Survey
H. Chen and H. Eldardiry
Impact Factor 5.3Vasanth @ Systems and Control Letters
Learning-based Optimal Control of Linear Time-Varying Systems over Large Time Intervals
V. Reddy, A. Boker, and H. Eldardiry
Impact Factor 2.6
Acceptance Rate 25%Saeed & Vasanth @ IEEE Control Systems Letters
Learning-based Pareto Optimal Control of Large-Scale Systems with Unknown Slow Dynamics
S. Hesarkuchak, A. Boker, V. Reddy, L. Mili, and H. Eldardiry
Impact Factor 3.1
2023
Hongjie @ ACM Transactions on Knowledge Discovery from Data (TKDD)
Graph Deep Factors for Probabilistic Time-Series Forecasting
H. Chen, R. A. Rossi, K. Mahadik, S. Kim, and H. Eldardiry
Impact Factor 5Vishvendra & Vasanth @ IEEE Control Systems Letters
Efficient Near-Optimal Control of Large-Size Second-Order Linear Time-Varying Systems
V. Rustagi, V. Reddy, A. Boker, C. Sultan, and H. Eldardiry
Impact Factor 3
2021
- Milad @ IEEE Access
Two-Stage Clustering of Household Electricity Load Shapes for Improved Temporal Pattern Representation
Code, Data, Presentation
M. Afzalan, F. Jazizadeh, and H. Eldardiry
Impact Factor 3.9
Conference Publications
2024
Jiaying @ ACL International Conference on Computational Linguistics, Language Resources and Evaluation (COLING-LREC)
Prompt-based Zero-Shot Relation Extraction with Semantic Knowledge Augmentation
Code, Data
J. Gong and H. Eldardiry
Acceptance Rate 28%Jiaying @ ACM International World Wide Web Conference (WWW)
Multilabel Zero-Shot Product Attribute-Value Extraction
Code, Data
J. Gong and H. Eldardiry
Acceptance Rate 20.2%Hongjie @ ACM Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)
Evolving Super Graph Neural Networks for Large-scale Time-Series Forecasting
H. Chen, R. A. Rossi, K. Mahadik, S. Kim, and H. Eldardiry
Acceptance Rate 15-30%Jiaying @ ACL International Conference on Computational Linguistics, Language Resources and Evaluation (COLING-LREC)
Multimodal Few-Shot Relation Extraction with Hybrid Visual Evidence
Code, Data J. Gong and H. Eldardiry
Acceptance Rate 28%Vasanth @ IEEE American Control Conference
Searching for Sparse Controllers with a Budget: A Bottom-Up Approach
V. Reddy, S. Gumussoy, H. Eldardiry, and A. BokerVishvendra & Vasanth @ IEEE American Control Conference
Efficient Near-Optimal Control of Large-size Second-Order Linear Time-Varying Systems
Presentation
V. Rustagi, V. Reddy, A. Boker, C. Sultan, and H. EldardiryHumaid @ International Conference on Parallel & Distributed Processing Techniques & Applications
Resource-Efficient Federated Training Framework for Heterogeneous and Resource-Constrained Environments
H. Desai, A. Hilal, and H. EldardiryJames @ IEEE International Symposium on Technology and Society
Computer Science Student Attitudes Towards AI Ethics and Policy: A Preliminary Investigation
J. Weichert, and H. Eldardiry
Acceptance Rate 45%Saeed & Vasanth @ IEEE International Conference on Decision and Control
Learning-based Pareto Optimal Control of Large-Scale Systems with Unknown Slow Dynamics
S. Hesarkuchak, A. Boker, V. Reddy, L. Mili, and H. Eldardiry
Acceptance Rate 56.7%
2023
Hongjie @ IEEE International Conference on Big Data
Hypergraph Neural Networks for Time-series Forecasting
H. Chen, R. A. Rossi, K. Mahadik, S. Kim, H. Eldardiry
Acceptance Rate 17.4%Jiaying @ ACM International Conference on Information and Knowledge Management (CIKM)
Knowledge-Enhanced Multilabel Few-Shot Product Attribute-Value Extraction
Code, Data
J. Gong, W. T. Chen, and H. Eldardiry
Acceptance Rate 24%Mohanad & Jiaying @ IEEE Internation EMBS Conference on Neural Engineering
Prediction of Electric Fields Induced by Transcranial Magnetic Stimulation in the Brain using a Deep Encoder-Decoder Convolutional Neural Network
M. Tashli, M. Alam, J. Gong, C. Lewis, C. Peterson, H. Eldardiry, J. Atulasimha, and R. Hadimani
Acceptance Rate 24%Yazan & Vasanth @ IEEE European Control Conference
Near-Optimal Trajectory Generation for Flexible Motion Systems using Two-Boundary Approach
Y. Al-Rawashdeh, V. Reddy, M. Al Saaideh, A. Boker, H. Eldardiry, and M. Al JanaidehMohanad & Jiaying @ American Physical Society
Prediction of Electric Fields Induced by Transcranial Magnetic Stimulation in the Brain using a Deep Encoder-Decoder Convolutional Neural Network
M. Tashli, M. Alam, J. Gong, C. Lewis, C. Peterson, H. Eldardiry, J. Atulasimha, R. Hadimani
2022
Chenhan @ IEEE International Conference on Big Data
Clustering-based Unsupervised Generative Relation Extraction
C. Yuan, R. A. Rossi, A. Katz, and H. Eldardiry
Acceptance Rate 19.2%Vasanth @ IEEE Automatic Control Conference
Singular Perturbation-based Reinforcement Learning of Two-Point Boundary Optimal Control Systems
Code, Presentation, Poster
V. Reddy, H. Eldardiry, and A. Boker
Acceptance Rate 59.6%Vasanth @ AAAI Reinforcement Learning in Games Workshop
Cooperation Learning in Time-Varying Multiagent Networks
Code, Presentation, Poster
V. Reddy, A. Boker, and H. Eldardiry
Acceptance Rate 15%Mohanad & Jiaying @ Conference on Magnetism and Magnetic Materials
Prediction of Stimulation Strength of Transcranial Magnetic Stimulation in the Brain with Deep Convolutional Neural Network based Encoder-Decoder Network
M. Alam, M. Tashli, J. Gong, C. Lewis , C. Peterson, H. Eldardiry, R. Hadimani, J. Atulasimha
2021
Chenhan @ Empirical Methods in Natural Language Processing (EMNLP)
Unsupervised Relation Extraction: a Variational Autoencoder Approach
C. Yuan and H. Eldardiry
Acceptance Rate 32%Hongjie @ IEEE International Conference on Big Data
Context Integrated Relational Spatio-Temporal Resource Forecasting
Code, Data
H. Chen, R. A. Rossi, K. Mahadik, and H. Eldardiry
Acceptance Rate 19.9%Hongjie @ ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD)
Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation
H. Chen, R. A. Rossi, K. Mahadik, S. Kim, and H. Eldardiry
Acceptance Rate 15.4%Jiaying @ ACM International Conference on Information and Knowledge Management (CIKM)
Zero-Shot Relation Classification from Side Information
Code, Data, Presentation
J. Gong and H. Eldardiry
Acceptance Rate 21.7%Jiaying @ ACM International Conference on Neural Information Processing (ICONIP)
Multistage Hybrid Attentive Networks for Knowledge-Driven Stock Movement Prediction
Code, Data, Presentation
J. Gong and H. Eldardiry
Acceptance Rate 20.9%Jiaying @ International Conference on Engineering Applications of Neural Networks
Predicting Stock Price Movement Using Financial News Sentiment.
J. Gong, B. Paye, G. Kadlec, and H. Eldardiry
Preprints
2023
Chenhan
GradXKG: A Universal Explain-per-use Temporal Knowledge Graph Explainer
C. Yuan and H. EldardiryVasanth
Data-Driven Near-Optimal Control of Nonlinear Systems over Finite Horizon
V. Reddy, H. Eldardiry, and A. Boker
2022
- Afrina
Hard Negative Sampling Strategies for Contrastive Representation Learning
A. Tabassum, M. Wahed, H. Eldardiry, and I. Lourentzou
PhD Dissertations
Dr. Jiaying Gong @ Spring 2024
Few-Shot and Zero-Shot Learning for Information ExtractionDr. Hongjie Chen @ Spring 2024
Deep Graph Learning based Relational Modeling for Time-series Forecasting
MS Theses
Humaid @ Fall 2023
Resource-Efficient Federated Training Framework for Heterogeneous and Resource-Constrained EnvironmentsVasanth @ Fall 2022
Learning-based Optimal Control of Time-Varying Linear Systems Over Large Time IntervalsChenhan @ Spring 2021
N-ary Cross-sentence Relation Extraction: From Supervised to Unsupervised LearningMilad @ Summer 2020
Building Energy Profile Clustering Based on Energy Consumption Patterns
PhD Proposals
Vasanth @ Fall 2023
Towards Data-Driven Optimal Control of Multiscale SystemsAfrina@ Spring 2023
Multimodal Learning: Representation and Generation
Research Presentations
- Hongjie @ Amazon-VT Initiative for Efficient & Robust ML
GNN-based Relational Modeling for Time-seires Forecasting, April 2023 - Jiaying @ Commonwealth Cybersecurity Initiative (CCI) Showcase
Prediction of Electric Fields Induced by Transcranial Magnetic Stimulation in the Brain, June 2022
Internships
Summer 2024
- Vasanth @ Honda Research
- Afrina @ Amazon
- Gurki @ Citi
- Rayan @ Honeywell
- Ahmed @ Moffatt & Nichol
Summer 2023
- Afrina @ Microsoft Research
- Hongjie @ Yahoo Research
- Jiaying @ Ebay
- Ahmed @ Leidos
- Humaid @ Ellucian
Summer 2022
- Afrina @ Los Alamos National Laboratory
- Jiaying @ Rakuten
Summer 2021
- Vasanth @ Siemens
Summer 2020
- Vasanth @ Informatics Corp
- Hongjie @ Adobe Research
- Afrina @ University of Virginia Biocomplexity Institute
- Mia @ Amazon Web Services