A Closer Look at Distribution Shifts and Out-of-Distribution Generalization on Graphs
In Workshop on Distribution Shifts: Connecting Methods and Applications (DistShift), Spotlight, NeurIPS 2021, 2021
Mucong Ding and Kezhi Kong and Jiuhai Chen and John Kirchenbauer and Micah Goldblum and David Wipf and Furong Huang and Tom Goldstein
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Comfetch: Federated Learning of Large Networks on Memory-Constrained Clients via Sketching
In Workshop on Trustable, Verifiable and Auditable Federated Learning, AAAI 2022, 2022
Tahseen Rabbani and Brandon Feng and Yifan Yang and Arjun Rajkumar and Amitabh Varshney and Furong Huang
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When Detection Tools Collide: On the Impact of Watermarking on AI-Generated Text Detectors
In 4th Workshop on Towards Knowledgeable Foundation Models (KnowFM), ACL 2026, 2026
Michael-Andrei Panaitescu-Liess and Yigitcan Kaya and Fiza Mulla and Anirudh Satheesh and Furong Huang
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Scalable Latent Tree Model and its Application to Health Analytics
Machine Learning in Healthcare NIPS Workshop 2015, arXiv:1406.4566 cs.LG, 2015
Huang, Furong and UN, Niranjan and Perros, Joachim and Chen, Robert and Sun, Jimeng and Anandkumar, Anima
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Unsupervised learning of transcriptional regulatory networks via latent tree graphical models
arXiv preprint arXiv:1609.06335, 2016
Gitter, Anthony and Huang, Furong and Valluvan, Ragupathyraj and Fraenkel, Ernest and Anandkumar, Animashree
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Learning deep resnet blocks sequentially using boosting theory
ICML 2018, arXiv preprint arXiv:1706.04964, 2018
Huang, Furong and Ash, Jordan and Langford, John and Schapire, Robert
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Online tensor methods for learning latent variable models
Journal of Machine Learning Research, 16: 2797—2835, 2015
Huang, Furong and Niranjan, UN and Hakeem, Mohammad Umar and Anandkumar, Animashree
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Fast detection of overlapping communities via online tensor methods/Online Tensor Methods for Learning Latent Variable Models
JMLR, 2014
Huang, Furong and Niranjan, UN and Hakeem, Mohammad Umar and Anandkumar, Animashree
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Tensorial Neural Networks: Generalization of Neural Networks and Application to Model Compression
13th Annual Machine Learning Symposium, Women in Machine Learning Workshop, preprint, 2019
J. Su, J. Li, B. Bhattacharjee, F. Huang
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Distributed latent dirichlet allocation via tensor factorization
In NIPS Optimization Workshop, 2014
Huang, Furong and Matusevych, Sergiy and Anandkumar, Anima and Karampatziakis, Nikos and Mineiro, Paul
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