Huzefa Rangwala

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 152

Top Venues

CoRR

KDD

EDM

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Da Zheng, Xiang Song, Qi Zhu, Jian Zhang, Theodore Vasiloudis, Runjie Ma, Houyu Zhang, Zichen Wang, Soji Adeshina, Israt Nisa, Alejandro Mottini, Qingjun Cui, Huzefa Rangwala, Belinda Zeng, Christos Faloutsos, George Karypis
GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications. KDD (2024)
Kezhi Kong, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Chuan Lei, Christos Faloutsos, Huzefa Rangwala, George Karypis
OpenTab: Advancing Large Language Models as Open-domain Table Reasoners. CoRR (2024)
Hengrui Zhang, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Xiao Qin, Christos Faloutsos, Huzefa Rangwala, George Karypis
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space. ICLR (2024)
Jonathan Vasquez, Carlotta Domeniconi, Huzefa Rangwala
DispaRisk: Assessing and Interpreting Disparity Risks in Datasets. CoRR (2024)
Yuze Lou, Chuan Lei, Xiao Qin, Zichen Wang, Christos Faloutsos, Rishita Anubhai, Huzefa Rangwala
DATALORE: Can a Large Language Model Find All Lost Scrolls in a Data Repository? ICDE (2024)
Zifeng Wang, Zichen Wang, Balasubramaniam Srinivasan, Vassilis N. Ioannidis, Huzefa Rangwala, Rishita Anubhai
BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs. ICLR (2024)
Kezhi Kong, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Chuan Lei, Christos Faloutsos, Huzefa Rangwala, George Karypis
OpenTab: Advancing Large Language Models as Open-domain Table Reasoners. ICLR (2024)
Da Zheng, Xiang Song, Qi Zhu, Jiani Zhang, Theodore Vasiloudis, Runjie Ma, Houyu Zhang, Zichen Wang, Soji Adeshina, Israt Nisa, Alejandro Mottini, Qingjun Cui, Huzefa Rangwala, Belinda Zeng, Christos Faloutsos, George Karypis
GraphStorm: all-in-one graph machine learning framework for industry applications. CoRR (2024)
Jiaming Liang, Chuan Lei, Xiao Qin, Jiani Zhang, Asterios Katsifodimos, Christos Faloutsos, Huzefa Rangwala
FeatNavigator: Automatic Feature Augmentation on Tabular Data. CoRR (2024)
Panneer Selvam Santhalingam, Parth Pathak, Huzefa Rangwala, Jana Kosecka
Synthetic Smartwatch IMU Data Generation from In-the-wild ASL Videos. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7 (2) (2023)
Tasfia Mashiat, Xavier Gitiaux, Huzefa Rangwala, Sanmay Das
Counterfactually Fair Dynamic Assignment: A Case Study on Policing. AAMAS (2023)
Jonathan Vasquez, Xavier Gitiaux, Huzefa Rangwala
Estimating the Risk of Individual Discrimination of Classifiers. PAKDD (1) (2023)
Hengrui Zhang, Jiani Zhang, Balasubramaniam Srinivasan, Zhengyuan Shen, Xiao Qin, Christos Faloutsos, Huzefa Rangwala, George Karypis
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space. CoRR (2023)
Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Shen Wang, Huzefa Rangwala, George Karypis
NameGuess: Column Name Expansion for Tabular Data. EMNLP (2023)
Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Shen Wang, Huzefa Rangwala, George Karypis
NameGuess: Column Name Expansion for Tabular Data. CoRR (2023)
Costas Mavromatis, Balasubramaniam Srinivasan, Zhengyuan Shen, Jiani Zhang, Huzefa Rangwala, Christos Faloutsos, George Karypis
Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection. CoRR (2023)
Mia C. Mayer, Muhammad Bilal Zafar, Luca Franceschi, Huzefa Rangwala
Hands-on Tutorial: "Explanations in AI: Methods, Stakeholders and Pitfalls". KDD (2023)
Jonathan Vasquez Verdugo, Xavier Gitiaux, Cesar Ortega, Huzefa Rangwala
FairEd: A Systematic Fairness Analysis Approach Applied in a Higher Educational Context. LAK (2022)
Jitin Krishnan, Antonios Anastasopoulos, Hemant Purohit, Huzefa Rangwala
Cross-Lingual Text Classification of Transliterated Hindi and Malayalam. Big Data (2022)
Xavier Gitiaux, Huzefa Rangwala
SoFaiR: Single Shot Fair Representation Learning. CoRR (2022)
Angeela Acharya, Siddhartha Sikdar, Sanmay Das, Huzefa Rangwala
GenSyn: A Multi-stage Framework for Generating Synthetic Microdata using Macro Data Sources. Big Data (2022)
Sneha Mehta, Huzefa Rangwala, Naren Ramakrishnan
Improving Zero-Shot Event Extraction via Sentence Simplification. CoRR (2022)
Tasfia Mashiat, Xavier Gitiaux, Huzefa Rangwala, Patrick J. Fowler, Sanmay Das
Trade-offs between Group Fairness Metrics in Societal Resource Allocation. CoRR (2022)
Jonathan Vasquez Verdugo, Xavier Gitiaux, Huzefa Rangwala
Ex-Ante Assessment of Discrimination in Dataset. CoRR (2022)
Angeela Acharya, Siddhartha Sikdar, Sanmay Das, Huzefa Rangwala
GenSyn: A Multi-stage Framework for Generating Synthetic Microdata using Macro Data Sources. CoRR (2022)
Gil Sadeh, Zichen Wang, Jasleen Grewal, Huzefa Rangwala, Layne Price
Training self-supervised peptide sequence models on artificially chopped proteins. CoRR (2022)
Songgaojun Deng, Huzefa Rangwala, Yue Ning
Robust Event Forecasting with Spatiotemporal Confounder Learning. KDD (2022)
Songgaojun Deng, Huzefa Rangwala, Yue Ning
Causality Enhanced Societal Event Forecasting With Heterogeneous Graph Learning. ICDM (2022)
Sneha Mehta, Huzefa Rangwala, Naren Ramakrishnan
Improving Zero-Shot Event Extraction via Sentence Simplification. CASE@EMNLP (2022)
Tasfia Mashiat, Xavier Gitiaux, Huzefa Rangwala, Patrick Fowler, Sanmay Das
Trade-offs between Group Fairness Metrics in Societal Resource Allocation. FAccT (2022)
Zichen Wang, Vassilis N. Ioannidis, Huzefa Rangwala, Tatsuya Arai, Ryan Brand, Mufei Li, Yohei Nakayama
Graph Neural Networks in Life Sciences: Opportunities and Solutions. KDD (2022)
Xavier Gitiaux, Huzefa Rangwala
SoFaiR: Single Shot Fair Representation Learning. IJCAI (2022)
Xavier Gitiaux, Huzefa Rangwala
Fair Representations by Compression. CoRR (2021)
Yujing Chen, Zheng Chai, Yue Cheng, Huzefa Rangwala
Asynchronous Federated Learning for Sensor Data with Concept Drift. CoRR (2021)
Ashish Hingle, Huzefa Rangwala, Aditya Johri, Alex Monea
Using Role-Plays to Improve Ethical Understanding of Algorithms Among Computing Students. FIE (2021)
Hui Zheng, Pattiya Mahapasuthanon, Yujing Chen, Huzefa Rangwala, Anya S. Evmenova, Vivian Genaro Motti
WLA4ND: a Wearable Dataset of Learning Activities for Young Adults with Neurodiversity to Provide Support in Education. ASSETS (2021)
Al Amin Hosain, Panneer Selvam Santhalingam, Parth H. Pathak, Huzefa Rangwala, Jana Kosecká
Hand Pose Guided 3D Pooling for Word-level Sign Language Recognition. WACV (2021)
Zheng Chai, Yujing Chen, Ali Anwar, Liang Zhao, Yue Cheng, Huzefa Rangwala
FedAT: a high-performance and communication-efficient federated learning system with asynchronous tiers. SC (2021)
Anlan Du, Alexandra Plukis, Huzefa Rangwala
Using Course Evaluations and Student Data to Predict Computer Science Student Success. EDM (Workshops) (2021)
Jitin Krishnan, Antonios Anastasopoulos, Hemant Purohit, Huzefa Rangwala
Multilingual Code-Switching for Zero-Shot Cross-Lingual Intent Prediction and Slot Filling. CoRR (2021)
Dom Huh, Huzefa Rangwala
Synthetic Embedding-based Data Generation Methods for Student Performance. EDM (Workshops) (2021)
Xavier Gitiaux, Huzefa Rangwala
Learning Smooth and Fair Representations. AISTATS (2021)
Xavier Gitiaux, Huzefa Rangwala
Fair Representations by Compression. AAAI (2021)
Songgaojun Deng, Huzefa Rangwala, Yue Ning
Understanding Event Predictions via Contextualized Multilevel Feature Learning. CIKM (2021)
Songgaojun Deng, Huzefa Rangwala, Yue Ning
Causal Knowledge Guided Societal Event Forecasting. CoRR (2021)
Yujing Chen, Zheng Chai, Yue Cheng, Huzefa Rangwala
Asynchronous Federated Learning for Sensor Data with Concept Drift. IEEE BigData (2021)
Jitin Krishnan, Antonios Anastasopoulos, Hemant Purohit, Huzefa Rangwala
Cross-Lingual Text Classification of Transliterated Hindi and Malayalam. CoRR (2021)
Al Amin Hosain, Huzefa Rangwala, Jana Kosecká
Improving Sign Video Modeling Using Graph Neural Network. IEEE BigData (2021)
Zheng Chai, Yujing Chen, Liang Zhao, Yue Cheng, Huzefa Rangwala
FedAT: A Communication-Efficient Federated Learning Method with Asynchronous Tiers under Non-IID Data. CoRR (2020)
Al Amin Hosain, Panneer Selvam Santhalingam, Parth H. Pathak, Huzefa Rangwala, Jana Kosecká
FineHand: Learning Hand Shapes for American Sign Language Recognition. FG (2020)
Yujing Chen, Yue Ning, Martin Slawski, Huzefa Rangwala
Asynchronous Online Federated Learning for Edge Devices with Non-IID Data. IEEE BigData (2020)
Qian Hu, Huzefa Rangwala
Towards Fair Educational Data Mining: A Case Study on Detecting At-risk Students. EDM (2020)
Jitin Krishnan, Hemant Purohit, Huzefa Rangwala
Unsupervised and Interpretable Domain Adaptation to Rapidly Filter Tweets for Emergency Services. ASONAM (2020)
Jitin Krishnan, Hemant Purohit, Huzefa Rangwala
Diversity-Based Generalization for Neural Unsupervised Text Classification under Domain Shift. CoRR (2020)
Al Amin Hosain, Panneer Selvam Santhalingam, Parth H. Pathak, Jana Kosecká, Huzefa Rangwala
Body Pose and Deep Hand-shape Feature Based American Sign Language Recognition. DSAA (2020)
Jitin Krishnan, Patrick Coronado, Hemant Purohit, Huzefa Rangwala
Common-Knowledge Concept Recognition for SEVA. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
Dom Huh, Sai Gurrapu, Frederick Olson, Huzefa Rangwala, Parth H. Pathak, Jana Kosecka
Generative Multi-Stream Architecture For American Sign Language Recognition. CoRR (2020)
Yuanqi Du, Nguyen Dang, Riley Wilkerson, Parth H. Pathak, Huzefa Rangwala, Jana Kosecka
American Sign Language Recognition Using an FMCW Wireless Sensor (Student Abstract). AAAI (2020)
Qian Hu, Huzefa Rangwala
Metric-Free Individual Fairness with Cooperative Contextual Bandits. ICDM (2020)
Noah Hunt-Isaak, Peter Cherniavsky, Mark Snyder, Huzefa Rangwala
Using online text books and in-class quizzes to predict in class performance. EDM (2020)
Jitin Krishnan, Hemant Purohit, Huzefa Rangwala
Diversity-Based Generalization for Unsupervised Text Classification Under Domain Shift. ECML/PKDD (2) (2020)
Mohammad Arifur Rahman, Nathan LaPierre, Huzefa Rangwala
Phenotype Prediction from Metagenomic Data Using Clustering and Assembly with Multiple Instance Learning (CAMIL). IEEE ACM Trans. Comput. Biol. Bioinform. 17 (3) (2020)
Panneer Selvam Santhalingam, Al Amin Hosain, Ding Zhang, Parth H. Pathak, Huzefa Rangwala, Raja S. Kushalnagar
mmASL: Environment-Independent ASL Gesture Recognition Using 60 GHz Millimeter-wave Signals. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4 (1) (2020)
Mohammad Arifur Rahman, Huzefa Rangwala
IDMIL: an alignment-free Interpretable Deep Multiple Instance Learning (MIL) for predicting disease from whole-metagenomic data. Bioinform. 36 (Supplement-1) (2020)
Angeela Acharya, Jitin Krishnan, Desmond Arias, Huzefa Rangwala
Homicidal Event Forecasting and Interpretable Analysis Using Hierarchical Attention Model. SBP-BRiMS (2020)
Panneer Selvam Santhalingam, Yuanqi Du, Riley Wilkerson, Al Amin Hosain, Ding Zhang, Parth H. Pathak, Huzefa Rangwala, Raja S. Kushalnagar
Expressive ASL Recognition using Millimeter-wave Wireless Signals. SECON (2020)
Jitin Krishnan, Hemant Purohit, Huzefa Rangwala
Unsupervised and Interpretable Domain Adaptation to Rapidly Filter Social Web Data for Emergency Services. CoRR (2020)
Jitin Krishnan, Hemant Purohit, Huzefa Rangwala
Attention Realignment and Pseudo-Labelling for Interpretable Cross-Lingual Classification of Crisis Tweets. KiML@KDD (2020)
Xavier Gitiaux, Huzefa Rangwala
Learning Smooth and Fair Representations. CoRR (2020)
Yujing Chen, Yue Ning, Zheng Chai, Huzefa Rangwala
Federated Multi-task Learning with Hierarchical Attention for Sensor Data Analytics. IJCNN (2020)
Al Amin Hosain, Panneer Selvam Santhalingam, Parth H. Pathak, Huzefa Rangwala, Jana Kosecka
FineHand: Learning Hand Shapes for American Sign Language Recognition. CoRR (2020)
Songgaojun Deng, Shusen Wang, Huzefa Rangwala, Lijing Wang, Yue Ning
Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction. CIKM (2020)
Qian Hu, Huzefa Rangwala
Metric-Free Individual Fairness with Cooperative Contextual Bandits. CoRR (2020)
Songgaojun Deng, Huzefa Rangwala, Yue Ning
Dynamic Knowledge Graph based Multi-Event Forecasting. KDD (2020)
Jitin Krishnan, Patrick Coronado, Hemant Purohit, Huzefa Rangwala
Common-Knowledge Concept Recognition for SEVA. CoRR (2020)
Qian Hu, Huzefa Rangwala
Academic Performance Estimation with Attention-based Graph Convolutional Networks. CoRR (2020)
Sneha Mehta, Mohammad Raihanul Islam, Huzefa Rangwala, Naren Ramakrishnan
Event Detection using Hierarchical Multi-Aspect Attention. WWW (2019)
Xavier Gitiaux, Huzefa Rangwala
Multi-Differential Fairness Auditor for Black Box Classifiers. CoRR (2019)
Qian Hu, Huzefa Rangwala
Academic Performance Estimation with Attention-based Graph Convolutional Networks. EDM (2019)
Azad Naik, Huzefa Rangwala
Improving large-scale hierarchical classification by rewiring: a data-driven filter based approach. J. Intell. Inf. Syst. 52 (1) (2019)
Justin Alvin, Bob Kurtz, Paul Ammann, Huzefa Rangwala, René Just
Guiding testing effort using mutant utility. ICSE (Companion Volume) (2019)
Zhiyun Ren, Xia Ning, Andrew S. Lan, Huzefa Rangwala
Grade Prediction Based on Cumulative Knowledge and Co-taken Courses. EDM (2019)
Yue Ning, Liang Zhao, Feng Chen, Chang-Tien Lu, Huzefa Rangwala
Spatio-temporal Event Forecasting and Precursor Identification. KDD (2019)
Zhiyun Ren, Xia Ning, Andrew S. Lan, Huzefa Rangwala
Grade Prediction with Neural Collaborative Filtering. DSAA (2019)
Carrie Klein, Jaime Lester, Huzefa Rangwala, Aditya Johri
Technological barriers and incentives to learning analytics adoption in higher education: insights from users. J. Comput. High. Educ. 31 (3) (2019)
Qian Hu, Huzefa Rangwala
Reliable Deep Grade Prediction with Uncertainty Estimation. CoRR (2019)
Yujing Chen, Huzefa Rangwala
Attention-based Multi-task Learning for Sensor Analytics. IEEE BigData (2019)
Yujing Chen, Yue Ning, Huzefa Rangwala
Asynchronous Online Federated Learning for Edge Devices. CoRR (2019)
Al Amin Hosain, Panneer Selvam Santhalingam, Parth H. Pathak, Jana Kosecka, Huzefa Rangwala
Sign Language Recognition Analysis using Multimodal Data. CoRR (2019)
Xavier Gitiaux, Huzefa Rangwala
mdfa: Multi-Differential Fairness Auditor for Black Box Classifiers. IJCAI (2019)
Yujing Chen, Yue Ning, Zheng Chai, Huzefa Rangwala
Federated Multi-task Hierarchical Attention Model for Sensor Analytics. CoRR (2019)
Al Amin Hosain, Panneer Selvam Santhalingam, Parth H. Pathak, Jana Kosecká, Huzefa Rangwala
Sign Language Recognition Analysis using Multimodal Data. DSAA (2019)
Songgaojun Deng, Huzefa Rangwala, Yue Ning
Learning Dynamic Context Graphs for Predicting Social Events. KDD (2019)
Sneha Mehta, Huzefa Rangwala, Naren Ramakrishnan
Low Rank Factorization for Compact Multi-Head Self-Attention. CoRR (2019)
Qian Hu, Huzefa Rangwala
Reliable Deep Grade Prediction with Uncertainty Estimation. LAK (2019)
Songgaojun Deng, Shusen Wang, Huzefa Rangwala, Lijing Wang, Yue Ning
Graph Message Passing with Cross-location Attentions for Long-term ILI Prediction. CoRR (2019)
David C. Anastasiu, Huzefa Rangwala, Andrea Tagarelli
Tutorial: Are You My Neighbor?: Bringing Order to Neighbor Computing Problems. KDD (2019)
Qian Hu, Huzefa Rangwala
Course-Specific Markovian Models for Grade Prediction. PAKDD (2) (2018)
Yue Ning, Sathappan Muthiah, Naren Ramakrishnan, Huzefa Rangwala, David Mares
When do Crowds Turn Violent? Uncovering Triggers from Media. ASONAM (2018)
Li Zhang, Huzefa Rangwala
Early Identification of At-Risk Students Using Iterative Logistic Regression. AIED (1) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Huzefa Rangwala