Furong Huang

发表

SysML: The New Frontier of Machine Learning Systems pdf

Gustavo Alonso, Dan Alistarh, Dimitris S. Papailiopoulos, 2019, ArXiv.

Learning Mixtures of Tree Graphical Models

Anima Anandkumar, Sham M. Kakade, Furong Huang, 2012, NIPS.

Escaping From Saddle Points - Online Stochastic Gradient for Tensor Decomposition

Furong Huang, Yang Yuan, Rong Ge, 2015, COLT.

MLSys: The New Frontier of Machine Learning Systems

Christopher De Sa, Michael I. Jordan, Phillip B. Gibbons, 2019, 1904.03257.

Fast Detection of Overlapping Communities via Online Tensor Methods on GPUs pdf

Anima Anandkumar, Furong Huang, U. N. Niranjan, 2013, ArXiv.

Unsupervised Learning of Word-Sequence Representations from Scratch via Convolutional Tensor Decomposition pdf

Anima Anandkumar, Furong Huang, Anima Anandkumar, 2016, ArXiv.

Scalable Latent Tree Model and its Application to Health Analytics

Furong Huang, U. Niranjan, Anima Anandkumar, 2017 .

Latent Dirichlet Allocation via Tensor Factorization

Furong Huang, 2014 .

Are You Going to the Party: Depends, Who Else is Coming?: [Learning Hidden Group Dynamics via Conditional Latent Tree Models]

Anima Anandkumar, Furong Huang, Sean Fitzhugh, 2014, 2015 IEEE International Conference on Data Mining.

High-dimensional structure estimation in Ising models: Local separation criterion

Vincent Y. F. Tan, Alan S. Willsky, Furong Huang, 2011, 1107.1736.

Unsupervised learning of transcriptional regulatory networks via latent tree graphical models pdf

Anima Anandkumar, Ernest Fraenkel, Furong Huang, 2016, ArXiv.

Modeling Dynamic Social Interactions via Conditional Latent Tree Models pdf

Anima Anandkumar, Furong Huang, Carter T. Butts, 2014, ArXiv.

Using Wavelets and Spectral Methods to Study Patterns in Image-Classification Datasets pdf

Furong Huang, Roozbeh Yousefzadeh, Furong Huang, 2020, ArXiv.

Adaptive Learning Rates with Maximum Variation Averaging

Furong Huang, T. Goldstein, Yu Cheng, 2020, ArXiv.

Neural adaptation and cognitive inflexibility in repeated problem-solving behaviors

Furong Huang, Jing Luo, Fuhong Li, 2019, Cortex.

Interpretable Insights about Medical Image Datasets: Using Wavelets and Spectral Methods

Furong Huang, Roozbeh Yousefzadeh, 2020 .

The use of internet language enhances creative performance

Furong Huang, Yi Zhang, Fuxing Wang, 2019, The Journal of general psychology.

Convolutional Tensor-Train LSTM for Spatio-temporal Learning pdf

Jan Kautz, Furong Huang, Animashree Anandkumar, 2020, NeurIPS.

Convolutional Tensor-Train LSTM for Long-Term Video Prediction

Jan Kautz, Furong Huang, Animashree Anandkumar, 2019 .

Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks pdf

Uzi Vishkin, Micah Goldblum, Tom Goldstein, 2021, NeurIPS.

Datasets for Studying Generalization from Easy to Hard Examples

Furong Huang, T. Goldstein, Avi Schwarzschild, 2021, ArXiv.

A Closer Look at Distribution Shifts and Out-of-Distribution Generalization on Graphs

Furong Huang, D. Wipf, T. Goldstein, 2021 .

Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning

Brian M. Sadler, Furong Huang, D. Manocha, 2022, ArXiv.

Transferring Fairness under Distribution Shifts via Fair Consistency Regularization

Furong Huang, Bang An, Mucong Ding, 2022, ArXiv.

Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy

Furong Huang, Xiyao Wang, Wichayaporn Wongkamjan, 2022, 2207.12141.

Tensor Computations: Applications and Optimization (Dagstuhl Seminar 20111)

David A. Ham, Paul H. J. Kelly, Paolo Bientinesi, 2020, Dagstuhl Reports.

Unconditional Perseveration of the Short-Term Mental Set in Chunk Decomposition

Furong Huang, Zhujing Hu, Shuang Tang, 2018, Front. Psychol..

T UFORMER : D ATA - DRIVEN D ESIGN OF T RANSFORM ERS FOR I MPROVED G ENERALIZATION OR E FFICIENCY

Furong Huang, Jiahao Su, Xiaoyu Liu, 2022 .

Exploiting Invariant Structures for Compression in Neural Networks

Bobby Bhattacharjee, Furong Huang, Jingling Li, 2018 .

Increased or decreased? Interpersonal neural synchronization in group creation

Furong Huang, Chunming Lu, Quanlei Yu, 2022, NeuroImage.

Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability

Furong Huang, T. Goldstein, Micah Goldblum, 2021, NeurIPS.

Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning

Furong Huang, Yongyuan Liang, Yanchao Sun, 2022, NeurIPS.

Cognitive control of invalid predominant ideas in insight-like problem solving.

Furong Huang, Fuhong Li, Jingyuan Ren, 2022, Psychophysiology.

Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems

Furong Huang, S. Feizi, Sumitra Ganesh, 2022, ArXiv.

End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without Overthinking

Furong Huang, T. Goldstein, Avi Schwarzschild, 2022, ArXiv.

Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach

Furong Huang, Tianyi Zhou, Xinmei Tian, 2022, NeurIPS.

Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

Furong Huang, T. Goldstein, Micah Goldblum, 2022, NeurIPS.

SMART: S ELF - SUPERVISED M ULTI - TASK PRETR A IN - ING WITH CONT R OL T RANSFORMERS

Ashish Kapoor, Furong Huang, Shuang Ma, 2022 .

Escaping From Saddle Points Using Asynchronous Coordinate Gradient Descent

Furong Huang, Jingling Li, Jin-Peng Liu, 2022, ArXiv.

Reinforcement Learning under a Multi-agent Predictive State Representation Model: Method and Theory

Furong Huang, Zhuoran Yang, Han Liu, 2022, ICLR.

SMART: Self-supervised Multi-task pretrAining with contRol Transformers

Shuang Ma, Ashish Kapoor, Furong Huang, 2023, ICLR.

Discovery of Latent Factors in High-dimensional Data Using Tensor Methods pdf

Furong Huang, Furong Huang, Furong Huang, 2016, ArXiv.

Transfer RL across Observation Feature Spaces via Model-Based Regularization

Furong Huang, Andrew Cohen, Yanchao Sun, 2022, ICLR.

Understanding Generalization in Deep Learning via Tensor Methods

Taiji Suzuki, Furong Huang, Jingling Li, 2020, AISTATS.

Where and How Are Original and Valuable Ideas Generated? tDCS of the Generation-Related Posterior Temporal Lobe and the Executive Control-Related Prefrontal Cortex.

Furong Huang, Jing Luo, Yan Jiang, 2021, Cerebral cortex.

Neural correlates of novelty and appropriateness processing in externally induced constraint relaxation

Pei Sun, Furong Huang, Jing Luo, 2018, NeuroImage.

Comfetch: Federated Learning of Large Networks on Memory-Constrained Clients via Sketching pdf

Amitabh Varshney, Tahseen Rabbani, Furong Huang, 2021, ArXiv.

Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy

Furong Huang, Wichayaporn Wongkamjan, Xiyao Wang, 2022, ArXiv.

Tensorial Neural Networks: Generalization of Neural Networks and Application to Model Compression

Bobby Bhattacharjee, Furong Huang, Jingling Li, 2018, 1805.10352.

ARMA Nets: Expanding Receptive Field for Dense Prediction

Furong Huang, Jiahao Su, Shiqi Wang, 2020, NeurIPS.

The function of the hippocampus and middle temporal gyrus in forming new associations and concepts during the processing of novelty and usefulness features in creative designs

Jingyuan Ren, Jiahua Xu, Ying Zhou, 2020, NeuroImage.

Convolutional Dictionary Learning through Tensor Factorization

Anima Anandkumar, Furong Huang, Anima Anandkumar, 2015, FE@NIPS.

Convolutional Tensor-Train LSTM for Spatio-temporal Learning pdf

Jan Kautz, Furong Huang, Animashree Anandkumar, 2020, NeurIPS.

STEERING: Stein Information Directed Exploration for Model-Based Reinforcement Learning

Furong Huang, Mengdi Wang, Alec Koppel, 2023, arXiv.org.

Understanding the Generalization Benefit of Model Invariance from a Data Perspective

Furong Huang, Bang An, Sicheng Zhu, 2021, NeurIPS.

Transferring Fairness under Distribution Shifts via Fair Consistency Regularization

Furong Huang, Bang An, Mucong Ding, 2022, NeurIPS.

Understanding Generalization through Visualizations pdf

Micah Goldblum, Liam Fowl, Tom Goldstein, 2019, ICBINB@NeurIPS.

Scaling-up Diverse Orthogonal Convolutional Networks with a Paraunitary Framework pdf

Furong Huang, Wonmin Byeon, Jiahao Su, 2021, ICML.

Guaranteed Simultaneous Asymmetric Tensor Decomposition via Orthogonalized Alternating Least Squares pdf

Jialin Li, Furong Huang, Furong Huang, 2018, ArXiv.

Online tensor methods for learning latent variable models

Anima Anandkumar, Furong Huang, U. N. Niranjan, 2013, J. Mach. Learn. Res..

Reactive control in evaluating appropriately or inappropriately novel ideas: Evidence from electrophysiological measures.

Furong Huang, Jing Luo, Fuhong Li, 2022, Psychophysiology.

The neural basis of novelty and appropriateness in processing of creative chunk decomposition

Jin Fan, Jing Luo, Furong Huang, 2015, NeuroImage.

FedBC: Calibrating Global and Local Models via Federated Learning Beyond Consensus

Anit Kumar Sahu, Furong Huang, Alec Koppel, 2022, arXiv.org.

Learning Deep ResNet Blocks Sequentially using Boosting Theory

John Langford, Furong Huang, Robert E. Schapire, 2017, ICML.

Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness

Furong Huang, T. Goldstein, Micah Goldblum, 2023, ICLR.

On the Possibilities of AI-Generated Text Detection

Furong Huang, A. S. Bedi, Bang An, 2023, ArXiv.

Convolutional Sparse Coding

Furong Huang, Furong Huang, 2020, Computer Vision.

Batch-wise Logit-Similarity: Generalizing Logit-Squeezing and Label-Smoothing

Tom Goldstein, Furong Huang, Ali Shafahi, 2019, BMVC.

Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics pdf

Furong Huang, Yanchao Sun, Furong Huang, 2020, ICLR.

Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks pdf

Tom Goldstein, Furong Huang, Chen Zhu, 2020, AAAI.

Functional lateralization of the medial temporal lobe in novel associative processing during creativity evaluation

Furong Huang, Jing Luo, M. Dresler, 2022, Cerebral cortex.

DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data Augmentations

Furong Huang, T. Goldstein, Micah Goldblum, 2021, ArXiv.

An Energy Efficient Specializing DAG Federated Learning Based on Event-Triggered Communication

Furong Huang, Haokun Mao, Xiaofeng Xue, 2022, Mathematics.

VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization pdf

Tom Goldstein, Chen Zhu, John P. Dickerson, 2021, NeurIPS.

Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL

Furong Huang, Yongyuan Liang, Yanchao Sun, 2021, ICLR.

Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in Multi-Agent RL

Furong Huang, Xiangyu Liu, Souradip Chakraborty, 2023, ArXiv.

The cognitive and neural mechanism of chunk decomposition: A particular form of insight

Jing Luo, FuRong Huang, Mei He, 2017 .

Expectations Attenuate the Negative Influence of Neural Adaptation on the Processing of Novel Stimuli: ERP Evidence

Furong Huang, Fuhong Li, Jingyuan Ren, 2022, Neuroscience.

GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint

Furong Huang, Bang An, Paiheng Xu, 2023, ArXiv.

On the Possibilities of AI-Generated Text Detection

Furong Huang, A. S. Bedi, Bang An, 2023, ArXiv.

MaxVA: Fast Adaptation of Step Sizes by Maximizing Observed Variance of Gradients

Zhe Gan, Jingjing Liu, Tom Goldstein, 2020, ECML/PKDD.

Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning

Brian M. Sadler, Furong Huang, Alec Koppel, 2022, Proceedings of the AAAI Conference on Artificial Intelligence.

Can Agents Learn by Analogy? An Inferable Model for PAC Reinforcement Learning

Furong Huang, Yanchao Sun, 2019, AAMAS.

TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL

Furong Huang, Yanchao Sun, Xiangyu Yin, 2020, AAAI.

Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy

Furong Huang, Wichayaporn Wongkamjan, Xiyao Wang, 2022, ICML.

Sampling-Free Learning of Bayesian Quantized Neural Networks pdf

Furong Huang, Milan Cvitkovic, Jiahao Su, 2019, ICLR.

More Context, Less Distraction: Visual Classification by Inferring and Conditioning on Contextual Attributes

Chaithanya Kumar Mummadi, Furong Huang, Bang An, 2023, ArXiv.

Aligning Agent Policy with Externalities: Reward Design via Bilevel RL

Furong Huang, Alec Koppel, A. S. Bedi, 2023, ArXiv.

MLSys: The New Frontier of Machine Learning Systems

Christopher De Sa, Michael I. Jordan, Phillip B. Gibbons, 2019, 1904.03257.

SysML: The New Frontier of Machine Learning Systems

Christopher De Sa, Michael I. Jordan, Phillip B. Gibbons, 2019, ArXiv.

Certified Defense via Latent Space Randomized Smoothing with Orthogonal Encoders pdf

Furong Huang, Huimin Zeng, Jiahao Su, 2021, ArXiv.

Insta-RS: Instance-wise Randomized Smoothing for Improved Robustness and Accuracy pdf

Tom Goldstein, Furong Huang, Peihong Yu, 2021, ArXiv.

Reviving Shift Equivariance in Vision Transformers

Furong Huang, Jiahao Su, D. Soselia, 2023, arXiv.org.

Improving the Tightness of Convex Relaxation Bounds for Training Certifiably Robust Classifiers pdf

Tom Goldstein, Furong Huang, Chen Zhu, 2020, ArXiv.

Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations

Furong Huang, T. Sandholm, S. McAleer, 2023, ArXiv.

Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function

Furong Huang, Huazhe Xu, Ruijie Zheng, 2023, ICLR.

Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics

Furong Huang, Yanchao Sun, 2020, ArXiv.

Certifiably Robust Multi-Agent Reinforcement Learning against Adversarial Communication

Furong Huang, S. Feizi, Sumitra Ganesh, 2022 .

Controllable Attack and Improved Adversarial Training in Multi-Agent Reinforcement Learning

Furong Huang, Souradip Chakraborty, Xiangyu Liu, 2022 .

Dynamic cognitive processes of text-picture integration revealed by event-related potentials

Hongpo Zhang, Shi Chen, Songqing Li, 2020, Brain Research.

TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning

Furong Huang, Huazhe Xu, Shuang Ma, 2023, arXiv.org.

SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication

Furong Huang, A. S. Bedi, Tahseen Rabbani, 2022, ICLR.

High-dimensional Gaussian graphical model selection: walk summability and local separation criterion

Vincent Y. F. Tan, Anima Anandkumar, Alan S. Willsky, 2011, J. Mach. Learn. Res..

People got lost in solving a set of similar problems

Jing Luo, Furong Huang, Qingbai Zhao, 2019, NeuroImage.

Label Smoothing and Logit Squeezing: A Replacement for Adversarial Training? pdf

Tom Goldstein, Furong Huang, Ali Shafahi, 2019, ArXiv.

Integrated Structure and Parameters Learning in Latent Tree Graphical Models

Anima Anandkumar, Furong Huang, U. Niranjan, 2014, ArXiv.

Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity

Furong Huang, Bang An, Tahseen Rabbani, 2022, NeurIPS.

Guided Hyperparameter Tuning Through Visualization and Inference pdf

Leilani Battle, Furong Huang, Calvin Bao, 2021, ArXiv.