Rangwala, Huzefa

32 publications

ICLR 2025 AgentOccam: A Simple yet Strong Baseline for LLM-Based Web Agents Ke Yang, Yao Liu, Sapana Chaudhary, Rasool Fakoor, Pratik Chaudhari, George Karypis, Huzefa Rangwala

ICLR 2025 AutoG: Towards Automatic Graph Construction from Tabular Data Zhikai Chen, Han Xie, Jian Zhang, Xiang Song, Jiliang Tang, Huzefa Rangwala, George Karypis

TMLR 2025 Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens Zhepeng Cen, Yao Liu, Siliang Zeng, Pratik Chaudhari, Huzefa Rangwala, George Karypis, Rasool Fakoor

ICLRW 2025 Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens Zhepeng Cen, Yao Liu, Siliang Zeng, Pratik Chaudhari, Huzefa Rangwala, George Karypis, Rasool Fakoor

AISTATS 2025 DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification Xiaoxue Han, Huzefa Rangwala, Yue Ning

ECML-PKDD 2025 DispaRisk: Assessing Fairness Through Usable Information Jonathan Vasquez, Carlotta Domeniconi, Huzefa Rangwala

TMLR 2025 LC-PLM: Long-Context Protein Language Modeling Using Bidirectional Mamba with Shared Projection Layers Yingheng Wang, Zichen Wang, Gil Sadeh, Luca Zancato, Alessandro Achille, George Karypis, Huzefa Rangwala

NeurIPS 2025 MLZero: A Multi-Agent System for End-to-End Machine Learning Automation Haoyang Fang, Boran Han, Nick Erickson, Xiyuan Zhang, Su Zhou, Anirudh Dagar, Jiani Zhang, Ali Caner Turkmen, Cuixiong Hu, Huzefa Rangwala, Ying Nian Wu, Bernie Wang, George Karypis

NeurIPS 2025 Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models Xiyuan Zhang, Danielle C. Maddix, Junming Yin, Nick Erickson, Abdul Fatir Ansari, Boran Han, Shuai Zhang, Leman Akoglu, Christos Faloutsos, Michael W. Mahoney, Cuixiong Hu, Huzefa Rangwala, George Karypis, Bernie Wang

TMLR 2025 Offline Learning and Forgetting for Reasoning with Large Language Models Tianwei Ni, Allen Nie, Sapana Chaudhary, Yao Liu, Huzefa Rangwala, Rasool Fakoor

ICML 2025 Protein Structure Tokenization: Benchmarking and New Recipe Xinyu Yuan, Zichen Wang, Marcus D. Collins, Huzefa Rangwala

ICLR 2025 Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling, and Zero-Shot Transfer Zihan Pengmei, Zhengyuan Shen, Zichen Wang, Marcus D. Collins, Huzefa Rangwala

ICLR 2024 BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs Zifeng Wang, Zichen Wang, Balasubramaniam Srinivasan, Vassilis N. Ioannidis, Huzefa Rangwala, Rishita Anubhai

ICLR 2024 Mixed-Type Tabular Data Synthesis with Score-Based Diffusion in Latent Space Hengrui Zhang, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Xiao Qin, Christos Faloutsos, Huzefa Rangwala, George Karypis

ICLR 2024 OpenTab: Advancing Large Language Models as Open-Domain Table Reasoners Kezhi Kong, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Chuan Lei, Christos Faloutsos, Huzefa Rangwala, George Karypis

IJCAI 2022 SoFaiR: Single Shot Fair Representation Learning Xavier Gitiaux, Huzefa Rangwala

AISTATS 2021 Learning Smooth and Fair Representations Xavier Gitiaux, Huzefa Rangwala

AAAI 2021 Fair Representations by Compression Xavier Gitiaux, Huzefa Rangwala

WACV 2021 Hand Pose Guided 3D Pooling for Word-Level Sign Language Recognition Al Amin Hosain, Panneer Selvam Santhalingam, Parth Pathak, Huzefa Rangwala, Jana Kosecka

AAAI 2020 American Sign Language Recognition Using an FMCW Wireless Sensor (Student Abstract) Yuanqi Du, Nguyen Dang, Riley Wilkerson, Parth H. Pathak, Huzefa Rangwala, Jana Kosecka

ECML-PKDD 2020 Diversity-Based Generalization for Unsupervised Text Classification Under Domain Shift Jitin Krishnan, Hemant Purohit, Huzefa Rangwala

IJCAI 2019 Mdfa: Multi-Differential Fairness Auditor for Black Box Classifiers Xavier Gitiaux, Huzefa Rangwala

ECML-PKDD 2017 TrajViz: A Tool for Visualizing Patterns and Anomalies in Trajectory Yifeng Gao, Qingzhe Li, Xiaosheng Li, Jessica Lin, Huzefa Rangwala

ECML-PKDD 2015 HierCost: Improving Large Scale Hierarchical Classification with Cost Sensitive Learning Anveshi Charuvaka, Huzefa Rangwala

ECML-PKDD 2014 FLIP: Active Learning for Relational Network Classification Tanwistha Saha, Huzefa Rangwala, Carlotta Domeniconi

ECML-PKDD 2014 Machine Learning Approaches for Metagenomics Huzefa Rangwala, Anveshi Charuvaka, Zeehasham Rasheed

ECML-PKDD 2013 Protein Function Prediction Using Dependence Maximization Guo-Xian Yu, Carlotta Domeniconi, Huzefa Rangwala, Guoji Zhang

IJCAI 2013 Protein Function Prediction by Integrating Multiple Kernels Guo-Xian Yu, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, Zili Zhang

ECML-PKDD 2013 Relevant Subsequence Detection with Sparse Dictionary Learning Sam Blasiak, Huzefa Rangwala, Kathryn B. Laskey

ECML-PKDD 2012 A Family of Feed-Forward Models for Protein Sequence Classification Sam Blasiak, Huzefa Rangwala, Kathryn B. Laskey

IJCAI 2011 A Hidden Markov Model Variant for Sequence Classification Sam Blasiak, Huzefa Rangwala

ECML-PKDD 2008 TOPTMH: Topology Predictor for Transmembrane Alpha-Helices Rezwan Ahmed, Huzefa Rangwala, George Karypis