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George Karypis
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Publications
- 2025
- [j90]Zhepeng Cen, Yao Liu, Siliang Zeng, Pratik Chaudhari, Huzefa Rangwala, George Karypis, Rasool Fakoor:
Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens. Trans. Mach. Learn. Res. 2025 (2025) - [j88]Yingheng Wang, Zichen Wang, Gil Sadeh, Luca Zancato, Alessandro Achille, George Karypis, Huzefa Rangwala:
LC-PLM: Long-context Protein Language Modeling Using Bidirectional Mamba with Shared Projection Layers. Trans. Mach. Learn. Res. 2025 (2025) - [c243]Ke Yang, Yao Liu, Sapana Chaudhary, Rasool Fakoor, Pratik Chaudhari, George Karypis, Huzefa Rangwala:
AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents. ICLR 2025 - [c242]Zhikai Chen, Han Xie, Jian Zhang, Xiang Song, Jiliang Tang, Huzefa Rangwala, George Karypis:
AutoG: Towards automatic graph construction from tabular data. ICLR 2025 - [i115]Zhikai Chen, Han Xie, Jian Zhang, Xiang Song, Jiliang Tang, Huzefa Rangwala, George Karypis:
AutoG: Towards automatic graph construction from tabular data. CoRR abs/2501.15282 (2025) - [i112]Jiani Zhang, Hengrui Zhang, Rishav Chakravarti, Yiqun Hu, Patrick Ng, Asterios Katsifodimos, Huzefa Rangwala, George Karypis, Alon Y. Halevy:
CoddLLM: Empowering Large Language Models for Data Analytics. CoRR abs/2502.00329 (2025) - [i109]Siliang Zeng, Yao Liu, Huzefa Rangwala, George Karypis, Mingyi Hong, Rasool Fakoor:
From Demonstrations to Rewards: Alignment Without Explicit Human Preferences. CoRR abs/2503.13538 (2025) - [i108]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:
MLZero: A Multi-Agent System for End-to-end Machine Learning Automation. CoRR abs/2505.13941 (2025) - [i106]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:
Does Multimodality Lead to Better Time Series Forecasting? CoRR abs/2506.21611 (2025) - [i105]Costas Mavromatis, Soji Adeshina, Vassilis N. Ioannidis, Zhen Han, Qi Zhu, Ian Robinson, Bryan Thompson, Huzefa Rangwala, George Karypis:
BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering. CoRR abs/2507.04127 (2025) - [i103]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:
Chronos-2: From Univariate to Universal Forecasting. CoRR abs/2510.15821 (2025) - [i102]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:
Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models. CoRR abs/2510.21204 (2025) - 2024
- [c234]Costas Mavromatis, Balasubramaniam Srinivasan, Zhengyuan Shen, Jiani Zhang, Huzefa Rangwala, Christos Faloutsos, George Karypis:
CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage. EMNLP 2024: 21268-21286 - [c232]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 - [c231]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 - [c229]Da Zheng
, Xiang Song
GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications. KDD 2024: 6356-6367 - [i100]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 abs/2402.14361 (2024) - [i92]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 abs/2406.06022 (2024) - [i86]Ke Yang, Yao Liu, Sapana Chaudhary, Rasool Fakoor, Pratik Chaudhari, George Karypis, Huzefa Rangwala:
AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents. CoRR abs/2410.13825 (2024) - [i85]Zhepeng Cen, Yao Liu, Siliang Zeng, Pratik Chaudhari, Huzefa Rangwala, George Karypis, Rasool Fakoor:
Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens. CoRR abs/2410.14655 (2024) - [i84]Yingheng Wang, Zichen Wang, Gil Sadeh, Luca Zancato, Alessandro Achille, George Karypis, Huzefa Rangwala:
Long-context Protein Language Model. CoRR abs/2411.08909 (2024) - 2023
- [c219]Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Shen Wang, Huzefa Rangwala, George Karypis:
NameGuess: Column Name Expansion for Tabular Data. EMNLP 2023: 13276-13290 - [i73]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 abs/2310.09656 (2023) - [i71]Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Shen Wang, Huzefa Rangwala, George Karypis:
NameGuess: Column Name Expansion for Tabular Data. CoRR abs/2310.13196 (2023) - [i68]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 abs/2310.20046 (2023) - 2017
- [c149]Qian Hu, Agoritsa Polyzou
Enriching Course-Specific Regression Models with Content Features for Grade Prediction. DSAA 2017: 504-513 - 2016
- [j70]Asmaa Elbadrawy, Agoritsa Polyzou
Predicting Student Performance Using Personalized Analytics. Computer 49(4): 61-69 (2016) - 2013
- [e3]Gaurav Pandey, Huzefa Rangwala, George Karypis, Jake Yue Chen, Mohammed Javeed Zaki:
Proceedings of the 12th International Workshop on Data Mining in Bioinformatics, BIOKDD 2013, Chicago, IL, USA, August 11, 2013. ACM 2013, ISBN 978-1-4503-2327-7 [contents] - 2010
- [j54]Rezwan Ahmed, Huzefa Rangwala, George Karypis
Toptmh: Topology Predictor for transmembrane alpha-helices. J. Bioinform. Comput. Biol. 8(1): 39-57 (2010) - 2009
- [j51]Huzefa Rangwala, Christopher Kauffman, George Karypis
svmPRAT: SVM-based Protein Residue Annotation Toolkit. BMC Bioinform. 10: 439 (2009) - [j47]Xia Ning, Huzefa Rangwala, George Karypis
Multi-Assay-Based Structure-Activity Relationship Models: Improving Structure-Activity Relationship Models by Incorporating Activity Information from Related Targets. J. Chem. Inf. Model. 49(11): 2444-2456 (2009) - [c95]Huzefa Rangwala, Christopher Kauffman, George Karypis:
A Kernel Framework for Protein Residue Annotation. PAKDD 2009: 439-451 - 2008
- [c92]Huzefa Rangwala, George Karypis:
fRMSDAlign: Protein Sequence Alignment Using Predicted Local Structure Information for Pairs with Low Sequence Identity. APBC 2008: 111-122 - [c91]Ruinan Zhang, Huzefa Rangwala, George Karypis
Genome Alignments Using MPI-LAGAN. BIBM 2008: 437-440 - [c88]Rezwan Ahmed, Huzefa Rangwala, George Karypis:
TOPTMH: Topology Predictor for Transmembrane alpha-Helices. ECML/PKDD (1) 2008: 23-38 - 2007
- [j41]Huzefa Rangwala, George Karypis
Incremental window-based protein sequence alignment algorithms. Bioinform. 23(2): 17-23 (2007) - 2006
- [j36]Huzefa Rangwala, George Karypis
Building multiclass classifiers for remote homology detection and fold recognition. BMC Bioinform. 7: 455 (2006) - 2005
- [j31]Huzefa Rangwala, George Karypis
Profile-based direct kernels for remote homology detection and fold recognition. Bioinform. 21(23): 4239-4247 (2005) - [c80]Benjamin W. Mayer, Huzefa Rangwala, Rohit Gupta, Jaideep Srivastava, George Karypis, Vipin Kumar, Piet C. de Groen:
Feature Mining for Prediction of Degree of Liver Fibrosis. AMIA 2005
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last updated on 2025-11-16 02:38 CET by the dblp team
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