Huzefa Rangwala

255 papers A* 34A 23B 26C 7Misc 2Journal 103Unranked 56

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generating Data-Driven Reasoning Rubrics for Domain-Adaptive Reward Modeling. CoRR Kate Sanders, Nathaniel Weir, Sapana Chaudhary, Kaj Bostrom, Huzefa Rangwala
2026	J	`jnl`	MaxCode: A Max-Reward Reinforcement Learning Framework for Automated Code Optimization. CoRR Jiefu Ou, Sapana Chaudhary, Kaj Bostrom, Nathaniel Weir, Shuai Zhang, Huzefa Rangwala, George Karypis
2026	J	`jnl`	ReSyn: Autonomously Scaling Synthetic Environments for Reasoning Models. CoRR Andre He, Nathaniel Weir, Kaj Bostrom, Allen Nie, Darion Cassel, Sam Bayless, Huzefa Rangwala
2026	J	`jnl`	Relatron: Automating Relational Machine Learning over Relational Databases. CoRR Zhikai Chen, Han Xie, Jian Zhang, Jiliang Tang, Xiang Song, Huzefa Rangwala
2026	J	`jnl`	SQL-Trail: Multi-Turn Reinforcement Learning with Interleaved Feedback for Text-to-SQL. CoRR Harper Hua, Zhen Han, Zhengyuan Shen, Jeremy Lee, Patrick Guan, Qi Zhu, Sullam Jeoung, Yueyan Chen, Yunfei Bai, Shuai Wang, Vassilis N. Ioannidis, Huzefa Rangwala
2026	J	`jnl`	Scalable Prompt Routing via Fine-Grained Latent Task Discovery. CoRR Yunyi Zhang, Soji Adeshina, Sheng Guan, Ashwin Ganesh, Zhen Han, Vassilis N. Ioannidis, Huzefa Rangwala, George Karypis
2026	J	`jnl`	Train Less, Learn More: Adaptive Efficient Rollout Optimization for Group-Based Reinforcement Learning. CoRR Zhi Zhang, Zhen Han, Costas Mavromatis, Qi Zhu, Yunyi Zhang, Sheng Guan, Dingmin Wang, Xiong Zhou, Shuai Wang, Soji Adeshina, Vassilis N. Ioannidis, Huzefa Rangwala
2025	A*	`conf`	AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents. ICLR Ke Yang, Yao Liu, Sapana Chaudhary, Rasool Fakoor, Pratik Chaudhari, George Karypis, Huzefa Rangwala
2025	A*	`conf`	AutoG: Towards automatic graph construction from tabular data. ICLR Zhikai Chen, Han Xie, Jian Zhang, Xiang Song, Jiliang Tang, Huzefa Rangwala, George Karypis
2025	J	`jnl`	AutoG: Towards automatic graph construction from tabular data. CoRR Zhikai Chen, Han Xie, Jian Zhang, Xiang Song, Jiliang Tang, Huzefa Rangwala, George Karypis
2025	A*	`conf`	BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering. EMNLP Costas Mavromatis, Soji Adeshina, Vassilis N. Ioannidis, Zhen Han, Qi Zhu, Ian Robinson, Bryan Thompson, Huzefa Rangwala, George Karypis
2025	J	`jnl`	BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering. CoRR Costas Mavromatis, Soji Adeshina, Vassilis N. Ioannidis, Zhen Han, Qi Zhu, Ian Robinson, Bryan Thompson, Huzefa Rangwala, George Karypis
2025	J	`jnl`	BoundRL: Efficient Structured Text Segmentation through Reinforced Boundary Generation. CoRR Haoyuan Li, Zhengyuan Shen, Sullam Jeoung, Yueyan Chen, Jiayu Li, Qi Zhu, Shuai Wang, Vassilis N. Ioannidis, Huzefa Rangwala
2025	J	`jnl`	Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens. Trans. Mach. Learn. Res. Zhepeng Cen, Yao Liu, Siliang Zeng, Pratik Chaudhari, Huzefa Rangwala, George Karypis, Rasool Fakoor
2025	J	`jnl`	Chronos-2: From Univariate to Universal Forecasting. CoRR Abdul Fatir Ansari, Oleksandr Shchur, Jaris Küken, Andreas Auer, Boran Han, Pedro Mercado, Syama Sundar Rangapuram, Huibin Shen, Lorenzo Stella, Xiyuan Zhang, Mononito Goswami, Shubham Kapoor, Danielle C. Maddix, Pablo Guerron, Tony Hu, Junming Yin, Nick Erickson, Prateek Mutalik Desai, Hao Wang, Huzefa Rangwala, George Karypis, Yuyang Wang, Michael Bohlke-Schneider
2025	J	`jnl`	CoddLLM: Empowering Large Language Models for Data Analytics. CoRR Jiani Zhang, Hengrui Zhang, Rishav Chakravarti, Yiqun Hu, Patrick Ng, Asterios Katsifodimos, Huzefa Rangwala, George Karypis, Alon Y. Halevy
2025	A	`conf`	DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification. AISTATS Xiaoxue Han, Huzefa Rangwala, Yue Ning
2025	—	`conf`	DiscoverGPT: Multi-task Fine-tuning Large Language Model for Related Table Discovery. NAACL (Findings) Xuming Hu, Xiao Qin, Chuan Lei, Asterios Katsifodimos, Zhengyuan Shen, Balasubramaniam Srinivasan, Huzefa Rangwala
2025	—	`conf`	DispaRisk: Assessing Fairness Through Usable Information. ECML/PKDD (1) Jonathan Vasquez, Carlotta Domeniconi, Huzefa Rangwala
2025	J	`jnl`	Does Multimodality Lead to Better Time Series Forecasting? CoRR Xiyuan Zhang, Boran Han, Haoyang Fang, Abdul Fatir Ansari, Shuai Zhang, Danielle C. Maddix, Cuixiong Hu, Andrew Gordon Wilson, Michael W. Mahoney, Hao Wang, Yan Liu, Huzefa Rangwala, George Karypis, Bernie Wang
2025	A*	`conf`	Featpilot: Automatic Feature Augmentation on Tabular Data. ICDE Jiaming Liang, Chuan Lei, Xiao Qin, Jiani Zhang, Asterios Katsifodimos, Christos Faloutsos, Huzefa Rangwala
2025	J	`jnl`	From Demonstrations to Rewards: Alignment Without Explicit Human Preferences. CoRR Siliang Zeng, Yao Liu, Huzefa Rangwala, George Karypis, Mingyi Hong, Rasool Fakoor
2025	J	`jnl`	HetRL: Efficient Reinforcement Learning for LLMs in Heterogeneous Environments. CoRR Yongjun He, Shuai Zhang, Jiading Gai, Xiyuan Zhang, Boran Han, Bernie Wang, Huzefa Rangwala, George Karypis
2025	—	`conf`	Hierarchical Lexical Graph for Enhanced Multi-Hop Retrieval. KDD (2) Abdellah Ghassel, Ian Robinson, Gabriel Tanase, Hal Cooper, Bryan Thompson, Zhen Han, Vassilis N. Ioannidis, Soji Adeshina, Huzefa Rangwala
2025	J	`jnl`	Hierarchical Lexical Graph for Enhanced Multi-Hop Retrieval. CoRR Abdellah Ghassel, Ian Robinson, Gabriel Tanase, Hal Cooper, Bryan Thompson, Zhen Han, Vassilis N. Ioannidis, Soji Adeshina, Huzefa Rangwala
2025	—	`conf`	HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases. ACL (1) Meng-Chieh Lee, Qi Zhu, Costas Mavromatis, Zhen Han, Soji Adeshina, Vassilis N. Ioannidis, Huzefa Rangwala, Christos Faloutsos
2025	J	`jnl`	LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes. CoRR Zhenwei Dai, Chuan Lei, Asterios Katsifodimos, Xiao Qin, Christos Faloutsos, Huzefa Rangwala
2025	J	`jnl`	LC-PLM: Long-context Protein Language Modeling Using Bidirectional Mamba with Shared Projection Layers. Trans. Mach. Learn. Res. Yingheng Wang, Zichen Wang, Gil Sadeh, Luca Zancato, Alessandro Achille, George Karypis, Huzefa Rangwala
2025	J	`jnl`	MLZero: A Multi-Agent System for End-to-end Machine Learning Automation. CoRR Haoyang Fang, Boran Han, Nick Erickson, Xiyuan Zhang, Su Zhou, Anirudh Dagar, Jiani Zhang, Ali Caner Türkmen, Cuixiong Hu, Huzefa Rangwala, Ying Nian Wu, Yuyang Wang, George Karypis
2025	J	`jnl`	Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models. CoRR 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
2025	J	`jnl`	Offline Learning and Forgetting for Reasoning with Large Language Models. Trans. Mach. Learn. Res. Tianwei Ni, Allen Nie, Sapana Chaudhary, Yao Liu, Huzefa Rangwala, Rasool Fakoor
2025	—	`conf`	PolyJoin: Semantic Multi-key Joinable Table Search in Data Lakes. NAACL (Findings) Xuming Hu, Chuan Lei, Xiao Qin, Asterios Katsifodimos, Christos Faloutsos, Huzefa Rangwala
2025	A*	`conf`	Protein Structure Tokenization: Benchmarking and New Recipe. ICML Xinyu Yuan, Zichen Wang, Marcus D. Collins, Huzefa Rangwala
2025	J	`jnl`	Protein Structure Tokenization: Benchmarking and New Recipe. CoRR Xinyu Yuan, Zichen Wang, Marcus D. Collins, Huzefa Rangwala
2025	A*	`conf`	Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling, and Zero-Shot Transfer. ICLR Zihan Pengmei, Zhengyuan Shen, Zichen Wang, Marcus D. Collins, Huzefa Rangwala
2025	—	`conf`	SKnow-LLM Workshop: Structured Knowledge for Large Language Models. KDD (2) Qi Zhu, Xiusi Chen, Yu Zhang, Soji Adeshina, Costas Mavromatis, Zhen Han, Vassilis N. Ioannidis, Leman Akoglu, Danai Koutra, Huzefa Rangwala
2025	J	`jnl`	Teaching Large Language Models to Reason through Learning and Forgetting. CoRR Tianwei Ni, Allen Nie, Sapana Chaudhary, Yao Liu, Huzefa Rangwala, Rasool Fakoor
2025	J	`jnl`	The Kinetics of Reasoning: How Chain-of-Thought Shapes Learning in Transformers? CoRR Zihan Pengmei, Costas Mavromatis, Zhengyuan Shen, Yunyi Zhang, Vassilis N. Ioannidis, Huzefa Rangwala
2025	J	`jnl`	VeriCoT: Neuro-symbolic Chain-of-Thought Validation via Logical Consistency Checks. CoRR Yu Feng, Nathaniel Weir, Kaj Bostrom, Sam Bayless, Darion Cassel, Sapana Chaudhary, Benjamin Kiesl-Reiter, Huzefa Rangwala
2024	J	`jnl`	AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents. CoRR Ke Yang, Yao Liu, Sapana Chaudhary, Rasool Fakoor, Pratik Chaudhari, George Karypis, Huzefa Rangwala
2024	A*	`conf`	BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs. ICLR Zifeng Wang, Zichen Wang, Balasubramaniam Srinivasan, Vassilis N. Ioannidis, Huzefa Rangwala, Rishita Anubhai
2024	J	`jnl`	Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens. CoRR Zhepeng Cen, Yao Liu, Siliang Zeng, Pratik Chaudhari, Huzefa Rangwala, George Karypis, Rasool Fakoor
2024	A*	`conf`	CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage. EMNLP Costas Mavromatis, Balasubramaniam Srinivasan, Zhengyuan Shen, Jiani Zhang, Huzefa Rangwala, Christos Faloutsos, George Karypis
2024	A*	`conf`	DATALORE: Can a Large Language Model Find All Lost Scrolls in a Data Repository? ICDE Yuze Lou, Chuan Lei, Xiao Qin, Zichen Wang, Christos Faloutsos, Rishita Anubhai, Huzefa Rangwala
2024	J	`jnl`	DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification. CoRR Xiaoxue Han, Huzefa Rangwala, Yue Ning
2024	J	`jnl`	DispaRisk: Assessing and Interpreting Disparity Risks in Datasets. CoRR Jonathan Vasquez, Carlotta Domeniconi, Huzefa Rangwala
2024	J	`jnl`	FeatNavigator: Automatic Feature Augmentation on Tabular Data. CoRR Jiaming Liang, Chuan Lei, Xiao Qin, Jiani Zhang, Asterios Katsifodimos, Christos Faloutsos, Huzefa Rangwala
2024	A*	`conf`	GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications. KDD 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
2024	J	`jnl`	GraphStorm: all-in-one graph machine learning framework for industry applications. CoRR 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
2024	J	`jnl`	HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases. CoRR Meng-Chieh Lee, Qi Zhu, Costas Mavromatis, Zhen Han, Soji Adeshina, Vassilis N. Ioannidis, Huzefa Rangwala, Christos Faloutsos
2024	J	`jnl`	Long-context Protein Language Model. CoRR Yingheng Wang, Zichen Wang, Gil Sadeh, Luca Zancato, Alessandro Achille, George Karypis, Huzefa Rangwala
2024	A*	`conf`	Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space. ICLR Hengrui Zhang, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Xiao Qin, Christos Faloutsos, Huzefa Rangwala, George Karypis
2024	A*	`conf`	OpenTab: Advancing Large Language Models as Open-domain Table Reasoners. ICLR Kezhi Kong, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Chuan Lei, Christos Faloutsos, Huzefa Rangwala, George Karypis
2024	J	`jnl`	OpenTab: Advancing Large Language Models as Open-domain Table Reasoners. CoRR Kezhi Kong, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Chuan Lei, Christos Faloutsos, Huzefa Rangwala, George Karypis
2024	J	`jnl`	Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling and Zero-Shot Transfer. CoRR Zihan Pengmei, Zhengyuan Shen, Zichen Wang, Marcus D. Collins, Huzefa Rangwala
2023	A	`conf`	Counterfactually Fair Dynamic Assignment: A Case Study on Policing. AAMAS Tasfia Mashiat, Xavier Gitiaux, Huzefa Rangwala, Sanmay Das
2023	—	`conf`	Estimating the Risk of Individual Discrimination of Classifiers. PAKDD (1) Jonathan Vasquez, Xavier Gitiaux, Huzefa Rangwala
2023	A*	`conf`	Hands-on Tutorial: "Explanations in AI: Methods, Stakeholders and Pitfalls". KDD Mia C. Mayer, Muhammad Bilal Zafar, Luca Franceschi, Huzefa Rangwala
2023	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - ISIC 2023, Care-AI 2023, MedAGI 2023, DeCaF 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings ISIC/Care-AI/MedAGI/DeCaF@MICCAI M. Emre Celebi, Md Sirajus Salekin, Hyunwoo J. Kim, Shadi Albarqouni, Catarina Barata, Allan Halpern, Philipp Tschandl, Marc Combalia, Yuan Liu, Ghada Zamzmi, Joshua Levy, Huzefa Rangwala, Annika Reinke, Diya Wynn, Bennett A. Landman, Won-Ki Jeong, Yiqing Shen, Zhongying Deng, Spyridon Bakas, Xiaoxiao Li, Chen Qin, Nicola Rieke, Holger Roth, Daguang Xu
2023	J	`jnl`	Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space. CoRR Hengrui Zhang, Jiani Zhang, Balasubramaniam Srinivasan, Zhengyuan Shen, Xiao Qin, Christos Faloutsos, Huzefa Rangwala, George Karypis
2023	A*	`conf`	NameGuess: Column Name Expansion for Tabular Data. EMNLP Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Shen Wang, Huzefa Rangwala, George Karypis
2023	J	`jnl`	NameGuess: Column Name Expansion for Tabular Data. CoRR Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Shen Wang, Huzefa Rangwala, George Karypis
2023	J	`jnl`	Synthetic Smartwatch IMU Data Generation from In-the-wild ASL Videos. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Panneer Selvam Santhalingam, Parth Pathak, Huzefa Rangwala, Jana Kosecka
2023	J	`jnl`	Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection. CoRR Costas Mavromatis, Balasubramaniam Srinivasan, Zhengyuan Shen, Jiani Zhang, Huzefa Rangwala, Christos Faloutsos, George Karypis
2022	A*	`conf`	Causality Enhanced Societal Event Forecasting With Heterogeneous Graph Learning. ICDM Songgaojun Deng, Huzefa Rangwala, Yue Ning
2022	B	`conf`	Cross-Lingual Text Classification of Transliterated Hindi and Malayalam. IEEE Big Data Jitin Krishnan, Antonios Anastasopoulos, Hemant Purohit, Huzefa Rangwala
2022	J	`jnl`	Ex-Ante Assessment of Discrimination in Dataset. CoRR Jonathan Vasquez Verdugo, Xavier Gitiaux, Huzefa Rangwala
2022	A	`conf`	FairEd: A Systematic Fairness Analysis Approach Applied in a Higher Educational Context. LAK Jonathan Vasquez Verdugo, Xavier Gitiaux, Cesar Ortega, Huzefa Rangwala
2022	B	`conf`	GenSyn: A Multi-stage Framework for Generating Synthetic Microdata using Macro Data Sources. IEEE Big Data Angeela Acharya, Siddhartha Sikdar, Sanmay Das, Huzefa Rangwala
2022	J	`jnl`	GenSyn: A Multi-stage Framework for Generating Synthetic Microdata using Macro Data Sources. CoRR Angeela Acharya, Siddhartha Sikdar, Sanmay Das, Huzefa Rangwala
2022	A*	`conf`	Graph Neural Networks in Life Sciences: Opportunities and Solutions. KDD Zichen Wang, Vassilis N. Ioannidis, Huzefa Rangwala, Tatsuya Arai, Ryan Brand, Mufei Li, Yohei Nakayama
2022	—	`conf`	Improving Zero-Shot Event Extraction via Sentence Simplification. CASE@EMNLP Sneha Mehta, Huzefa Rangwala, Naren Ramakrishnan
2022	J	`jnl`	Improving Zero-Shot Event Extraction via Sentence Simplification. CoRR Sneha Mehta, Huzefa Rangwala, Naren Ramakrishnan
2022	A*	`ed.`	KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022 KDD Aidong Zhang, Huzefa Rangwala
2022	A*	`conf`	Robust Event Forecasting with Spatiotemporal Confounder Learning. KDD Songgaojun Deng, Huzefa Rangwala, Yue Ning
2022	A*	`conf`	SoFaiR: Single Shot Fair Representation Learning. IJCAI Xavier Gitiaux, Huzefa Rangwala
2022	J	`jnl`	SoFaiR: Single Shot Fair Representation Learning. CoRR Xavier Gitiaux, Huzefa Rangwala
2022	—	`conf`	Trade-offs between Group Fairness Metrics in Societal Resource Allocation. FAccT Tasfia Mashiat, Xavier Gitiaux, Huzefa Rangwala, Patrick J. Fowler, Sanmay Das
2022	J	`jnl`	Trade-offs between Group Fairness Metrics in Societal Resource Allocation. CoRR Tasfia Mashiat, Xavier Gitiaux, Huzefa Rangwala, Patrick J. Fowler, Sanmay Das
2022	J	`jnl`	Training self-supervised peptide sequence models on artificially chopped proteins. CoRR Gil Sadeh, Zichen Wang, Jasleen Grewal, Huzefa Rangwala, Layne Price
2021	—	`conf`	Asynchronous Federated Learning for Sensor Data with Concept Drift. IEEE BigData Yujing Chen, Zheng Chai, Yue Cheng, Huzefa Rangwala
2021	J	`jnl`	Asynchronous Federated Learning for Sensor Data with Concept Drift. CoRR Yujing Chen, Zheng Chai, Yue Cheng, Huzefa Rangwala
2021	J	`jnl`	Causal Knowledge Guided Societal Event Forecasting. CoRR Songgaojun Deng, Huzefa Rangwala, Yue Ning
2021	J	`jnl`	Cross-Lingual Text Classification of Transliterated Hindi and Malayalam. CoRR Jitin Krishnan, Antonios Anastasopoulos, Hemant Purohit, Huzefa Rangwala
2021	A*	`conf`	Fair Representations by Compression. AAAI Xavier Gitiaux, Huzefa Rangwala
2021	J	`jnl`	Fair Representations by Compression. CoRR Xavier Gitiaux, Huzefa Rangwala
2021	A	`conf`	FedAT: a high-performance and communication-efficient federated learning system with asynchronous tiers. SC Zheng Chai, Yujing Chen, Ali Anwar, Liang Zhao, Yue Cheng, Huzefa Rangwala
2021	A	`conf`	Hand Pose Guided 3D Pooling for Word-level Sign Language Recognition. WACV Al Amin Hosain, Panneer Selvam Santhalingam, Parth H. Pathak, Huzefa Rangwala, Jana Kosecká
2021	—	`conf`	Improving Sign Video Modeling Using Graph Neural Network. IEEE BigData Al Amin Hosain, Huzefa Rangwala, Jana Kosecká
2021	A	`conf`	Learning Smooth and Fair Representations. AISTATS Xavier Gitiaux, Huzefa Rangwala
2021	J	`jnl`	Multilingual Code-Switching for Zero-Shot Cross-Lingual Intent Prediction and Slot Filling. CoRR Jitin Krishnan, Antonios Anastasopoulos, Hemant Purohit, Huzefa Rangwala
2021	—	`conf`	Synthetic Embedding-based Data Generation Methods for Student Performance. EDM (Workshops) Dom Huh, Huzefa Rangwala
2021	A	`conf`	Understanding Event Predictions via Contextualized Multilevel Feature Learning. CIKM Songgaojun Deng, Huzefa Rangwala, Yue Ning
2021	—	`conf`	Using Course Evaluations and Student Data to Predict Computer Science Student Success. EDM (Workshops) Anlan Du, Alexandra Plukis, Huzefa Rangwala
2021	C	`conf`	Using Role-Plays to Improve Ethical Understanding of Algorithms Among Computing Students. FIE Ashish Hingle, Huzefa Rangwala, Aditya Johri, Alex Monea
2021	A	`conf`	WLA4ND: a Wearable Dataset of Learning Activities for Young Adults with Neurodiversity to Provide Support in Education. ASSETS Hui Zheng, Pattiya Mahapasuthanon, Yujing Chen, Huzefa Rangwala, Anya S. Evmenova, Vivian Genaro Motti
2020	J	`jnl`	Academic Performance Estimation with Attention-based Graph Convolutional Networks. CoRR Qian Hu, Huzefa Rangwala
2020	A*	`conf`	American Sign Language Recognition Using an FMCW Wireless Sensor (Student Abstract). AAAI Yuanqi Du, Nguyen Dang, Riley Wilkerson, Parth H. Pathak, Huzefa Rangwala, Jana Kosecka
2020	—	`conf`	Asynchronous Online Federated Learning for Edge Devices with Non-IID Data. IEEE BigData Yujing Chen, Yue Ning, Martin Slawski, Huzefa Rangwala
2020	—	`conf`	Attention Realignment and Pseudo-Labelling for Interpretable Cross-Lingual Classification of Crisis Tweets. KiML@KDD Jitin Krishnan, Hemant Purohit, Huzefa Rangwala
2020	B	`conf`	Body Pose and Deep Hand-shape Feature Based American Sign Language Recognition. DSAA Al Amin Hosain, Panneer Selvam Santhalingam, Parth H. Pathak, Jana Kosecká, Huzefa Rangwala
2020	A	`conf`	Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction. CIKM Songgaojun Deng, Shusen Wang, Huzefa Rangwala, Lijing Wang, Yue Ning
2020	—	`conf`	Common-Knowledge Concept Recognition for SEVA. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) Jitin Krishnan, Patrick Coronado, Hemant Purohit, Huzefa Rangwala
2020	J	`jnl`	Common-Knowledge Concept Recognition for SEVA. CoRR Jitin Krishnan, Patrick Coronado, Hemant Purohit, Huzefa Rangwala
2020	J	`jnl`	Diversity-Based Generalization for Neural Unsupervised Text Classification under Domain Shift. CoRR Jitin Krishnan, Hemant Purohit, Huzefa Rangwala
2020	—	`conf`	Diversity-Based Generalization for Unsupervised Text Classification Under Domain Shift. ECML/PKDD (2) Jitin Krishnan, Hemant Purohit, Huzefa Rangwala
2020	A*	`conf`	Dynamic Knowledge Graph based Multi-Event Forecasting. KDD Songgaojun Deng, Huzefa Rangwala, Yue Ning
2020	B	`conf`	Expressive ASL Recognition using Millimeter-wave Wireless Signals. SECON Panneer Selvam Santhalingam, Yuanqi Du, Riley Wilkerson, Al Amin Hosain, Ding Zhang, Parth H. Pathak, Huzefa Rangwala, Raja S. Kushalnagar
2020	J	`jnl`	FedAT: A Communication-Efficient Federated Learning Method with Asynchronous Tiers under Non-IID Data. CoRR Zheng Chai, Yujing Chen, Liang Zhao, Yue Cheng, Huzefa Rangwala
2020	B	`conf`	Federated Multi-task Learning with Hierarchical Attention for Sensor Data Analytics. IJCNN Yujing Chen, Yue Ning, Zheng Chai, Huzefa Rangwala
2020	B	`conf`	FineHand: Learning Hand Shapes for American Sign Language Recognition. FG Al Amin Hosain, Panneer Selvam Santhalingam, Parth H. Pathak, Huzefa Rangwala, Jana Kosecká
2020	J	`jnl`	FineHand: Learning Hand Shapes for American Sign Language Recognition. CoRR Al Amin Hosain, Panneer Selvam Santhalingam, Parth H. Pathak, Huzefa Rangwala, Jana Kosecka
2020	J	`jnl`	Generative Multi-Stream Architecture For American Sign Language Recognition. CoRR Dom Huh, Sai Gurrapu, Frederick Olson, Huzefa Rangwala, Parth H. Pathak, Jana Kosecka
2020	—	`conf`	Homicidal Event Forecasting and Interpretable Analysis Using Hierarchical Attention Model. SBP-BRiMS Angeela Acharya, Jitin Krishnan, Desmond Arias, Huzefa Rangwala
2020	J	`jnl`	IDMIL: an alignment-free Interpretable Deep Multiple Instance Learning (MIL) for predicting disease from whole-metagenomic data. Bioinform. Mohammad Arifur Rahman, Huzefa Rangwala
2020	J	`jnl`	Learning Smooth and Fair Representations. CoRR Xavier Gitiaux, Huzefa Rangwala
2020	A*	`conf`	Metric-Free Individual Fairness with Cooperative Contextual Bandits. ICDM Qian Hu, Huzefa Rangwala
2020	J	`jnl`	Metric-Free Individual Fairness with Cooperative Contextual Bandits. CoRR Qian Hu, Huzefa Rangwala
2020	J	`jnl`	Phenotype Prediction from Metagenomic Data Using Clustering and Assembly with Multiple Instance Learning (CAMIL). IEEE ACM Trans. Comput. Biol. Bioinform. Mohammad Arifur Rahman, Nathan LaPierre, Huzefa Rangwala
2020	B	`conf`	Towards Fair Educational Data Mining: A Case Study on Detecting At-risk Students. EDM Qian Hu, Huzefa Rangwala
2020	J	`jnl`	Unsupervised and Interpretable Domain Adaptation to Rapidly Filter Social Web Data for Emergency Services. CoRR Jitin Krishnan, Hemant Purohit, Huzefa Rangwala
2020	B	`conf`	Unsupervised and Interpretable Domain Adaptation to Rapidly Filter Tweets for Emergency Services. ASONAM Jitin Krishnan, Hemant Purohit, Huzefa Rangwala
2020	B	`conf`	Using online text books and in-class quizzes to predict in class performance. EDM Noah Hunt-Isaak, Peter Cherniavsky, Mark Snyder, Huzefa Rangwala
2020	J	`jnl`	mmASL: Environment-Independent ASL Gesture Recognition Using 60 GHz Millimeter-wave Signals. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Panneer Selvam Santhalingam, Al Amin Hosain, Ding Zhang, Parth H. Pathak, Huzefa Rangwala, Raja S. Kushalnagar
2019	B	`conf`	Academic Performance Estimation with Attention-based Graph Convolutional Networks. EDM Qian Hu, Huzefa Rangwala
2019	J	`jnl`	Asynchronous Online Federated Learning for Edge Devices. CoRR Yujing Chen, Yue Ning, Huzefa Rangwala
2019	—	`conf`	Attention-based Multi-task Learning for Sensor Analytics. IEEE BigData Yujing Chen, Huzefa Rangwala
2019	A*	`conf`	Event Detection using Hierarchical Multi-Aspect Attention. WWW Sneha Mehta, Mohammad Raihanul Islam, Huzefa Rangwala, Naren Ramakrishnan
2019	J	`jnl`	Federated Multi-task Hierarchical Attention Model for Sensor Analytics. CoRR Yujing Chen, Yue Ning, Zheng Chai, Huzefa Rangwala
2019	B	`conf`	Grade Prediction Based on Cumulative Knowledge and Co-taken Courses. EDM Zhiyun Ren, Xia Ning, Andrew S. Lan, Huzefa Rangwala
2019	B	`conf`	Grade Prediction with Neural Collaborative Filtering. DSAA Zhiyun Ren, Xia Ning, Andrew S. Lan, Huzefa Rangwala
2019	J	`jnl`	Graph Message Passing with Cross-location Attentions for Long-term ILI Prediction. CoRR Songgaojun Deng, Shusen Wang, Huzefa Rangwala, Lijing Wang, Yue Ning
2019	—	`conf`	Guiding testing effort using mutant utility. ICSE (Companion Volume) Justin Alvin, Bob Kurtz, Paul Ammann, Huzefa Rangwala, René Just
2019	J	`jnl`	Improving large-scale hierarchical classification by rewiring: a data-driven filter based approach. J. Intell. Inf. Syst. Azad Naik, Huzefa Rangwala
2019	A*	`conf`	Learning Dynamic Context Graphs for Predicting Social Events. KDD Songgaojun Deng, Huzefa Rangwala, Yue Ning
2019	J	`jnl`	Low Rank Factorization for Compact Multi-Head Self-Attention. CoRR Sneha Mehta, Huzefa Rangwala, Naren Ramakrishnan
2019	J	`jnl`	Multi-Differential Fairness Auditor for Black Box Classifiers. CoRR Xavier Gitiaux, Huzefa Rangwala
2019	A	`conf`	Reliable Deep Grade Prediction with Uncertainty Estimation. LAK Qian Hu, Huzefa Rangwala
2019	J	`jnl`	Reliable Deep Grade Prediction with Uncertainty Estimation. CoRR Qian Hu, Huzefa Rangwala
2019	B	`conf`	Sign Language Recognition Analysis using Multimodal Data. DSAA Al Amin Hosain, Panneer Selvam Santhalingam, Parth H. Pathak, Jana Kosecká, Huzefa Rangwala
2019	J	`jnl`	Sign Language Recognition Analysis using Multimodal Data. CoRR Al Amin Hosain, Panneer Selvam Santhalingam, Parth H. Pathak, Jana Kosecka, Huzefa Rangwala
2019	A*	`conf`	Spatio-temporal Event Forecasting and Precursor Identification. KDD Yue Ning, Liang Zhao, Feng Chen, Chang-Tien Lu, Huzefa Rangwala
2019	J	`jnl`	Technological barriers and incentives to learning analytics adoption in higher education: insights from users. J. Comput. High. Educ. Carrie Klein, Jaime Lester, Huzefa Rangwala, Aditya Johri
2019	A*	`conf`	Tutorial: Are You My Neighbor?: Bringing Order to Neighbor Computing Problems. KDD David C. Anastasiu, Huzefa Rangwala, Andrea Tagarelli
2019	A*	`conf`	mdfa: Multi-Differential Fairness Auditor for Black Box Classifiers. IJCAI Xavier Gitiaux, Huzefa Rangwala
2018	A	`conf`	ALE: Additive Latent Effect Models for Grade Prediction. SDM Zhiyun Ren, Xia Ning, Huzefa Rangwala
2018	J	`jnl`	ALE: Additive Latent Effect Models for Grade Prediction. CoRR Zhiyun Ren, Xia Ning, Huzefa Rangwala
2018	—	`conf`	An intuitive muscle-computer interface using ultrasound sensing and Markovian state transitions. ISBI Ananya S. Dhawan, Jana Kosecka, Huzefa Rangwala, Siddhartha Sikdar
2018	—	`conf`	Course-Specific Markovian Models for Grade Prediction. PAKDD (2) Qian Hu, Huzefa Rangwala
2018	—	`conf`	Early Identification of At-Risk Students Using Iterative Logistic Regression. AIED (1) Li Zhang, Huzefa Rangwala
2018	—	`conf`	Forecasting Gang Homicides with Multi-level Multi-task Learning. SBP-BRiMS Nasrin Akhter, Liang Zhao, Desmond Arias, Huzefa Rangwala, Naren Ramakrishnan
2018	—	`conf`	From Language to Location Using Multiple Instance Neural Networks. SBP-BRiMS Sneha Nagpaul, Huzefa Rangwala
2018	—	`book`	Large Scale Hierarchical Classification: State of the Art Azad Naik, Huzefa Rangwala
2018	J	`jnl`	Needle in a haystack: Identifying learner posts that require urgent response in MOOC discussion forums. Comput. Educ. Omaima Almatrafi, Aditya Johri, Huzefa Rangwala
2018	—	`conf`	RegMIL: Phenotype Classification from Metagenomic Data. BCB Mohammad Arifur Rahman, Huzefa Rangwala
2018	—	`ch.`	Relational Network Classification and Its Applications in Recommender Systems. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Tanwistha Saha, Huzefa Rangwala, Carlotta Domeniconi
2018	A	`conf`	Running out of STEM: a comparative study across STEM majors of college students at-risk of dropping out early. LAK Yujing Chen, Aditya Johri, Huzefa Rangwala
2018	A	`conf`	STAPLE: Spatio-Temporal Precursor Learning for Event Forecasting. SDM Yue Ning, Rongrong Tao, Chandan K. Reddy, Huzefa Rangwala, James C. Starz, Naren Ramakrishnan
2018	B	`conf`	When do Crowds Turn Violent? Uncovering Triggers from Media. ASONAM Yue Ning, Sathappan Muthiah, Naren Ramakrishnan, Huzefa Rangwala, David Mares
2017	A	`conf`	A Gradient-based Adaptive Learning Framework for Efficient Personal Recommendation. RecSys Yue Ning, Yue Shi, Liangjie Hong, Huzefa Rangwala, Naren Ramakrishnan
2017	B	`conf`	A Novel Self-Paced Model for Teaching Programming. L@S Jeff Offutt, Paul Ammann, Kinga Dobolyi, Chris Kauffmann, Jaime Lester, Upsorn Praphamontripong, Huzefa Rangwala, Sanjeev Setia, Pearl Y. Wang, Liz White
2017	—	`conf`	A Uniform Representation for Trajectory Learning Tasks. SIGSPATIAL/GIS Qingzhe Li, Jessica Lin, Liang Zhao, Huzefa Rangwala
2017	J	`jnl`	Classifying Documents within Multiple Hierarchical Datasets using Multi-Task Learning. CoRR Azad Naik, Anveshi Charuvaka, Huzefa Rangwala
2017	J	`jnl`	Embedding Feature Selection for Large-scale Hierarchical Classification. CoRR Azad Naik, Huzefa Rangwala
2017	B	`conf`	Enriching Course-Specific Regression Models with Content Features for Grade Prediction. DSAA Qian Hu, Agoritsa Polyzou, George Karypis, Huzefa Rangwala
2017	B	`conf`	Grade Prediction with Temporal Course-wise Influence. EDM Zhiyun Ren, Xia Ning, Huzefa Rangwala
2017	J	`jnl`	Grade Prediction with Temporal Course-wise Influence. CoRR Zhiyun Ren, Xia Ning, Huzefa Rangwala
2017	J	`jnl`	HierFlat: flattened hierarchies for improving top-down hierarchical classification. Int. J. Data Sci. Anal. Azad Naik, Huzefa Rangwala
2017	J	`jnl`	Inconsistent Node Flattening for Improving Top-down Hierarchical Classification. CoRR Azad Naik, Huzefa Rangwala
2017	C	`conf`	Integrated Framework for Improving Large-Scale Hierarchical Classification. ICMLA Azad Naik, Huzefa Rangwala
2017	A*	`conf`	IterativE Grammar-Based Framework for Discovering Variable-Length Time Series Motifs. ICDM Yifeng Gao, Jessica Lin, Huzefa Rangwala
2017	J	`jnl`	Metagenome sequence clustering with hash-based canopies. J. Bioinform. Comput. Biol. Mohammad Arifur Rahman, Nathan LaPierre, Huzefa Rangwala, Daniel Barbará
2017	—	`conf`	TrajViz: A Tool for Visualizing Patterns and Anomalies in Trajectory. ECML/PKDD (3) Yifeng Gao, Qingzhe Li, Xiaosheng Li, Jessica Lin, Huzefa Rangwala
2016	A	`conf`	A Multiple Instance Learning Framework for Identifying Key Sentences and Detecting Events. CIKM Wei Wang, Yue Ning, Huzefa Rangwala, Naren Ramakrishnan
2016	—	`conf`	CAMIL: Clustering and Assembly with Multiple Instance Learning for phenotype prediction. BIBM Nathan LaPierre, Mohammad Arifur Rahman, Huzefa Rangwala
2016	—	`conf`	Embedding feature selection for large-scale hierarchical classification. IEEE BigData Azad Naik, Huzefa Rangwala
2016	J	`jnl`	Filter based Taxonomy Modification for Improving Hierarchical Classification. CoRR Azad Naik, Huzefa Rangwala
2016	B	`conf`	Inconsistent Node Flattening for Improving Top-Down Hierarchical Classification. DSAA Azad Naik, Huzefa Rangwala
2016	C	`conf`	Iterative Grammar-Based Framework for Discovering Variable-Length Time Series Motifs. ICMLA Yifeng Gao, Jessica Lin, Huzefa Rangwala
2016	J	`jnl`	Large-scale hierarchical classification with rare categories and inconsistencies. AI Matters Azad Naik, Huzefa Rangwala
2016	A*	`conf`	Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning. KDD Yue Ning, Sathappan Muthiah, Huzefa Rangwala, Naren Ramakrishnan
2016	J	`jnl`	Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning. CoRR Yue Ning, Sathappan Muthiah, Huzefa Rangwala, Naren Ramakrishnan
2016	B	`conf`	Next-Term Student Performance Prediction: A Recommender Systems Approach. EDM Mack Sweeney, Jaime Lester, Huzefa Rangwala, Aditya Johri
2016	J	`jnl`	Next-Term Student Performance Prediction: A Recommender Systems Approach. CoRR Mack Sweeney, Huzefa Rangwala, Jaime Lester, Aditya Johri
2016	B	`conf`	Predicting Performance on MOOC Assessments using Multi-Regression Models. EDM Zhiyun Ren, Huzefa Rangwala, Aditya Johri
2016	J	`jnl`	Predicting Performance on MOOC Assessments using Multi-Regression Models. CoRR Zhiyun Ren, Huzefa Rangwala, Aditya Johri
2016	J	`jnl`	Predicting Student Performance Using Personalized Analytics. Computer Asmaa Elbadrawy, Agoritsa Polyzou, Zhiyun Ren, Mackenzie Sweeney, George Karypis, Huzefa Rangwala
2016	J	`jnl`	Real-Time Classification of Hand Motions Using Ultrasound Imaging of Forearm Muscles. IEEE Trans. Biomed. Eng. Nima Akhlaghi, Clayton A. Baker, Mohamed Lahlou, Hozaifah Zafar, Karthik G. Murthy, Huzefa Rangwala, Jana Kosecka, Wilsaan M. Joiner, Joseph J. Pancrazio, Siddhartha Sikdar
2016	—	`conf`	Real-time, ultrasound-based control of a virtual hand by a trans-radial amputee. EMBC Clayton A. Baker, Nima Akhlaghi, Huzefa Rangwala, Jana Kosecká, Siddhartha Sikdar
2016	A	`conf`	Using Learning Analytics to Trace Academic Trajectories of CS and IT Students to Better Understanding Successful Pathways to Graduation (Abstract Only). SIGCSE Omaima Almatrafi, Huzefa Rangwala, Aditya Johri, Jaime Lester
2015	C	`conf`	A Machine Learning Approach to False Alarm Detection for Critical Arrhythmia Alarms. ICMLA Xing Wang, Yifeng Gao, Jessica Lin, Huzefa Rangwala, Ranjeev Mittu
2015	B	`conf`	A ranking-based approach for hierarchical classification. DSAA Azad Naik, Huzefa Rangwala
2015	Misc	`conf`	Approximate block coordinate descent for large scale hierarchical classification. SAC Anveshi Charuvaka, Huzefa Rangwala
2015	J	`jnl`	Classification methods for the analysis of LH-PCR data associated with inflammatory bowel disease patients. Int. J. Bioinform. Res. Appl. Nuttachat Wisittipanit, Huzefa Rangwala, Masoumeh Sikaroodi, Ali Keshavarzian, Ece A. Mutlu, Patrick Gillevet
2015	—	`conf`	HierCost: Improving Large Scale Hierarchical Classification with Cost Sensitive Learning. ECML/PKDD (1) Anveshi Charuvaka, Huzefa Rangwala
2015	—	`conf`	Next-term student grade prediction. IEEE BigData Mack Sweeney, Jaime Lester, Huzefa Rangwala
2015	—	`conf`	Predicting Clinical Phenotype Using OTU-Based Metagenome Representation. ICDM Workshops Nathan LaPierre, Huzefa Rangwala
2015	C	`conf`	Predicting New Friendships in Social Networks. ICMLA Anvardh Nanduri, Huzefa Rangwala
2015	A	`conf`	Predicting Preference Tags to Improve Item Recommendation. SDM Tanwistha Saha, Huzefa Rangwala, Carlotta Domeniconi
2015	J	`jnl`	Predicting Protein Function Using Multiple Kernels. IEEE ACM Trans. Comput. Biol. Bioinform. Guo-Xian Yu, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, Zili Zhang
2015	B	`conf`	Recommending Temporally Relevant News Content from Implicit Feedback Data. ICTAI Nikhil Muralidhar, Huzefa Rangwala, Eui-Hong Sam Han
2015	A	`conf`	What Are We Teaching?: Automated Evaluation of CS Curricula Content Using Topic Modeling. ICER Jean Michel Rouly, Huzefa Rangwala, Aditya Johri
2014	J	`jnl`	Classifying Protein Sequences Using Regularized Multi-Task Learning. IEEE ACM Trans. Comput. Biol. Bioinform. Anveshi Charuvaka, Huzefa Rangwala
2014	C	`conf`	Convex multi-task relationship learning using hinge loss. CIDM Anveshi Charuvaka, Huzefa Rangwala
2014	J	`jnl`	Erratum to "Protein Function Prediction Using Multilabel Ensemble Classification". IEEE ACM Trans. Comput. Biol. Bioinform. Guo-Xian Yu, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, Zhiwen Yu
2014	—	`conf`	FLIP: Active Learning for Relational Network Classification. ECML/PKDD (3) Tanwistha Saha, Huzefa Rangwala, Carlotta Domeniconi
2014	J	`jnl`	Guest Editorial for Special Section on BIOKDD2013. IEEE ACM Trans. Comput. Biol. Bioinform. Gaurav Pandey, Huzefa Rangwala
2014	—	`conf`	Machine Learning Approaches for Metagenomics. ECML/PKDD (3) Huzefa Rangwala, Anveshi Charuvaka, Zeehasham Rasheed
2014	J	`jnl`	Protein Function Prediction withIncomplete Annotations. IEEE ACM Trans. Comput. Biol. Bioinform. Guo-Xian Yu, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, Zhiwen Yu
2013	J	`jnl`	16S rRNA metagenome clustering and diversity estimation using locality sensitive hashing. BMC Syst. Biol. Zeehasham Rasheed, Huzefa Rangwala, Daniel Barbará
2013	—	`conf`	A Map-Reduce Framework for Clustering Metagenomes. IPDPS Workshops Zeehasham Rasheed, Huzefa Rangwala
2013	B	`conf`	Classifying Documents within Multiple Hierarchical Datasets Using Multi-task Learning. ICTAI Azad Naik, Anveshi Charuvaka, Huzefa Rangwala
2013	J	`jnl`	Improving network response times using social information. Soc. Netw. Anal. Min. Sharath Hiremagalore, Chen Liang, Angelos Stavrou, Huzefa Rangwala
2013	A	`conf`	Joint Segmentation and Clustering in Text Corpuses. SDM Samuel J. Blasiak, Huzefa Rangwala, Sithu Sudarsan
2013	A	`conf`	MC-MinH: Metagenome Clustering using Minwise based Hashing. SDM Huzefa Rangwala, Zeehasham Rasheed
2013	—	`ed.`	Proceedings of the 12th International Workshop on Data Mining in Bioinformatics, BIOKDD 2013, Chicago, IL, USA, August 11, 2013 BIOKDD Gaurav Pandey, Huzefa Rangwala, George Karypis, Jake Yue Chen, Mohammed Javeed Zaki
2013	—	`conf`	Protein Function Prediction Using Dependence Maximization. ECML/PKDD (1) Guo-Xian Yu, Carlotta Domeniconi, Huzefa Rangwala, Guoji Zhang
2013	J	`jnl`	Protein Function Prediction Using Multilabel Ensemble Classification. IEEE ACM Trans. Comput. Biol. Bioinform. Guo-Xian Yu, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, Zhiwen Yu
2013	A*	`conf`	Protein Function Prediction by Integrating Multiple Kernels. IJCAI Guo-Xian Yu, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, Zili Zhang
2013	—	`conf`	Relevant Subsequence Detection with Sparse Dictionary Learning. ECML/PKDD (1) Sam Blasiak, Huzefa Rangwala, Kathryn B. Laskey
2013	—	`conf`	Sparsification and Sampling of Networks for Collective Classification. SBP Tanwistha Saha, Huzefa Rangwala, Carlotta Domeniconi
2012	—	`conf`	A Family of Feed-Forward Models for Protein Sequence Classification. ECML/PKDD (2) Sam Blasiak, Huzefa Rangwala, Kathryn B. Laskey
2012	A	`conf`	Beam Methods for the Profile Hidden Markov Model. SDM Samuel J. Blasiak, Huzefa Rangwala, Kathryn B. Laskey
2012	—	`conf`	Classification and clustering in metagenomics with unified data management and computational framework. BIBM Workshops Zeehasham Rasheed, Huzefa Rangwala, Patrick Gillevet
2012	A	`conf`	Efficient Clustering of Metagenomic Sequences using Locality Sensitive Hashing. SDM Zeehasham Rasheed, Huzefa Rangwala, Daniel Barbará
2012	—	`conf`	Feature Enriched Nonparametric Bayesian Co-clustering. PAKDD (1) Pu Wang, Carlotta Domeniconi, Huzefa Rangwala, Kathryn B. Laskey
2012	—	`conf`	LSH-Div: Species diversity estimation using locality sensitive hashing. BIBM Zeehasham Rasheed, Huzefa Rangwala, Daniel Barbará
2012	—	`conf`	Malware Characterization Using Behavioral Components. MMM-ACNS Chaitanya Yavvari, Arnur G. Tokhtabayev, Huzefa Rangwala, Angelos Stavrou
2012	J	`jnl`	Metagenomic Taxonomic Classification Using Extreme Learning Machines. J. Bioinform. Comput. Biol. Zeehasham Rasheed, Huzefa Rangwala
2012	—	`conf`	Multi-label Collective Classification Using Adaptive Neighborhoods. ICMLA (1) Tanwistha Saha, Huzefa Rangwala, Carlotta Domeniconi
2012	A*	`conf`	Multi-task Learning for Classifying Proteins Using Dual Hierarchies. ICDM Anveshi Charuvaka, Huzefa Rangwala
2012	—	`conf`	Protein function prediction using weak-label learning. BCB Guo-Xian Yu, Guoji Zhang, Huzefa Rangwala, Carlotta Domeniconi, Zhiwen Yu
2012	A*	`conf`	Transductive multi-label ensemble classification for protein function prediction. KDD Guo-Xian Yu, Carlotta Domeniconi, Huzefa Rangwala, Guoji Zhang, Zhiwen Yu
2011	A*	`conf`	A Hidden Markov Model Variant for Sequence Classification. IJCAI Sam Blasiak, Huzefa Rangwala
2011	—	`conf`	An Information Theoretic Approach for the Analysis of RNA and DNA Binding Sites. BICoB Sheng Li, Huzefa Rangwala
2011	—	`conf`	Analysis of Microbiome Data across Inflammatory Bowel Disease Patients. ICMLA (2) Nuttachat Wisittipanit, Huzefa Rangwala, Patrick Gillevet
2011	—	`conf`	Detection of Communities and Bridges in Weighted Networks. MLDM Tanwistha Saha, Carlotta Domeniconi, Huzefa Rangwala
2011	C	`conf`	GPU-Euler: Sequence Assembly Using GPGPU. HPCC Syed Faraz Mahmood, Huzefa Rangwala
2011	B	`conf`	Predicting Network Response Times Using Social Information. ASONAM Chen Liang, Sharath Hiremagalore, Angelos Stavrou, Huzefa Rangwala
2011	—	`conf`	Profiling Microbial Communities using SSU rRNA Sequence and LH-PCR Data. BICoB Nuttachat Wisittipanit, Huzefa Rangwala, Masoumeh Sikaroodi, Ali Keshavarzian, Ece A. Mutlu, Patrick Gillevet
2011	—	`conf`	TAC-ELM: Metagenomic Taxonomic Classification with Extreme Learning Machines. BICoB Zeehasham Rasheed, Huzefa Rangwala
2010	A	`conf`	Co-Participation Networks Using Comment Information. ICWSM Huzefa Rangwala, Salman Jamali
2010	J	`jnl`	Defining a Coparticipation Network Using Comments on Digg. IEEE Intell. Syst. Huzefa Rangwala, Salman Jamali
2010	—	`conf`	Evaluation of short read metagenomic assembly. BIBM Anveshi Charuvaka, Huzefa Rangwala
2010	—	`conf`	Multiple Kernel Learning for Fold Recognition. BICoB Huzefa Rangwala
2010	J	`jnl`	Toptmh: Topology Predictor for transmembrane alpha-helices. J. Bioinform. Comput. Biol. Rezwan Ahmed, Huzefa Rangwala, George Karypis
2009	B	`conf`	A Kernel Framework for Protein Residue Annotation. PAKDD Huzefa Rangwala, Christopher Kauffman, George Karypis
2009	J	`jnl`	Multi-Assay-Based Structure-Activity Relationship Models: Improving Structure-Activity Relationship Models by Incorporating Activity Information from Related Targets. J. Chem. Inf. Model. Xia Ning, Huzefa Rangwala, George Karypis
2008	—	`conf`	Genome Alignments Using MPI-LAGAN. BIBM Ruinan Zhang, Huzefa Rangwala, George Karypis
2008	—	`conf`	TOPTMH: Topology Predictor for Transmembrane alpha-Helices. ECML/PKDD (1) Rezwan Ahmed, Huzefa Rangwala, George Karypis
2008	B	`conf`	fRMSDAlign: Protein Sequence Alignment Using Predicted Local Structure Information for Pairs with Low Sequence Identity. APBC Huzefa Rangwala, George Karypis
2007	J	`jnl`	Incremental window-based protein sequence alignment algorithms. Bioinform. Huzefa Rangwala, George Karypis
2006	J	`jnl`	Building multiclass classifiers for remote homology detection and fold recognition. BMC Bioinform. Huzefa Rangwala, George Karypis
2005	Misc	`conf`	Feature Mining for Prediction of Degree of Liver Fibrosis. AMIA Benjamin W. Mayer, Huzefa Rangwala, Rohit Gupta, Jaideep Srivastava, George Karypis, Vipin Kumar, Piet C. de Groen
2005	J	`jnl`	Profile-based direct kernels for remote homology detection and fold recognition. Bioinform. Huzefa Rangwala, George Karypis