Publications

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
BibTeX

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
BibTeX

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
BibTeX

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
BibTeX

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
BibTeX

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
BibTeX

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
BibTeX

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
BibTeX

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
BibTeX

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
BibTeX