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Furong Huang
Furong Huang
Associate Professor of Computer Science, University of Maryland
Verified email at umd.edu - Homepage
Title
Cited by
Cited by
Year
Escaping from saddle points—online stochastic gradient for tensor decomposition
R Ge, F Huang, C Jin, Y Yuan
Conference on learning theory, 797-842, 2015
13112015
Position: TrustLLM: Trustworthiness in large language models
Y Huang, L Sun, H Wang, S Wu, Q Zhang, Y Li, C Gao, Y Huang, W Lyu, ...
International Conference on Machine Learning, 20166-20270, 2024
300*2024
HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination & Visual Illusion in Large Vision-Language Models
TZ Tianrui Guan, Fuxiao Liu, Xiyang Wu, Ruiqi Xian, Zongxia Li, Xiaoyu Liu ...
274*2023
Cold diffusion: Inverting arbitrary image transforms without noise
A Bansal, E Borgnia, HM Chu, JS Li, H Kazemi, F Huang, M Goldblum, ...
Thirty-seventh Conference on Neural Information Processing Systems, 2022
2702022
Dp-instahide: Provably defusing poisoning and backdoor attacks with differentially private data augmentations
E Borgnia, J Geiping, V Cherepanova, L Fowl, A Gupta, A Ghiasi, ...
arXiv preprint arXiv:2103.02079, 2021
181*2021
AutoDAN: interpretable gradient-based adversarial attacks on large language models
S Zhu, R Zhang, B An, G Wu, J Barrow, Z Wang, F Huang, A Nenkova, ...
First Conference on Language Modeling, 2024
175*2024
Convolutional Tensor-Train LSTM for Spatio-temporal Learning
J Su, W Byeon, F Huang, J Kautz, A Anandkumar
Advances in Neural Information Processing Systems, 2020
1562020
Learning deep resnet blocks sequentially using boosting theory
F Huang, J Ash, J Langford, R Schapire
International Conference on Machine Learning, 2058-2067, 2018
1342018
High-dimensional structure estimation in Ising models: Local separation criterion
A Anandkumar, VYF Tan, F Huang, AS Willsky
The Annals of Statistics, 1346-1375, 2012
1322012
Position: On the Possibilities of AI-Generated Text Detection
S Chakraborty, A Bedi, S Zhu, B An, D Manocha, F Huang
Forty-first International Conference on Machine Learning, 2024
131*2024
High-dimensional Gaussian graphical model selection: Walk summability and local separation criterion
A Anandkumar, VYF Tan, F Huang, AS Willsky
Journal of Machine Learning Research 13 (August), 2012
1092012
Who is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL
Y Sun, R Zheng, Y Liang, F Huang
The Tenth International Conference on Learning Representations, 2022
782022
Understanding generalization through visualizations
WR Huang, Z Emam, M Goldblum, L Fowl, JK Terry, F Huang, T Goldstein
PMLR, 2020
782020
Can you learn an algorithm? generalizing from easy to hard problems with recurrent networks
A Schwarzschild, E Borgnia, A Gupta, F Huang, U Vishkin, M Goldblum, ...
Advances in Neural Information Processing Systems 34, 6695-6706, 2021
752021
Learning mixtures of tree graphical models
A Anandkumar, DJ Hsu, F Huang, SM Kakade
Advances in Neural Information Processing Systems 25, 2012
71*2012
Mementos: A comprehensive benchmark for multimodal large language model reasoning over image sequences
X Wang, Y Zhou, X Liu, H Lu, Y Xu, F He, J Yoon, T Lu, G Bertasius, ...
arXiv preprint arXiv:2401.10529, 2024
652024
Fast detection of overlapping communities via online tensor methods
F Huang, UN Niranjan, MU Hakeem, A Anandkumar
arXiv preprint arXiv:1309.0787 40, 43, 2013
64*2013
Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics
Y Sun, D Huo, F Huang
International Conference on Learning Representations, 2021
612021
Large language models and causal inference in collaboration: A comprehensive survey
X Liu, P Xu, J Wu, J Yuan, Y Yang, Y Zhou, F Liu, T Guan, H Wang, T Yu, ...
arXiv preprint arXiv:2403.09606, 2024
602024
VQ-GNN: A universal framework to scale up graph neural networks using vector quantization
M Ding, K Kong, J Li, C Zhu, J Dickerson, F Huang, T Goldstein
Advances in Neural Information Processing Systems 34, 6733-6746, 2021
59*2021
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