Furong Huang

According to our database, Furong Huang authored at least 124 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM).

Dehao Yuan, Cornelia Fermüller, Tahseen Rabbani, Furong Huang, Yiannis Aloimonos

CoRR, 2024

Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey.

Xiaoyu Liu, Paiheng Xu, Junda Wu, Jiaxin Yuan, Yifan Yang, Yuhang Zhou, Fuxiao Liu, Tianrui Guan, Haoliang Wang, Tong Yu, Julian J. McAuley, Wei Ai, Furong Huang

CoRR, 2024

ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization.

Tianying Ji, Yongyuan Liang, Yan Zeng, Yu Luo, Guowei Xu, Jiawei Guo, Ruijie Zheng, Furong Huang, Fuchun Sun, Huazhe Xu

CoRR, 2024

Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies.

Xiangyu Liu, Chenghao Deng, Yanchao Sun, Yongyuan Liang, Furong Huang

CoRR, 2024

PRISE: Learning Temporal Action Abstractions as a Sequence Compression Problem.

Ruijie Zheng, Ching-An Cheng, Hal Daumé III, Furong Huang, Andrey Kolobov

CoRR, 2024

MaxMin-RLHF: Towards Equitable Alignment of Large Language Models with Diverse Human Preferences.

Souradip Chakraborty, Jiahao Qiu, Hui Yuan, Alec Koppel, Furong Huang, Dinesh Manocha, Amrit Singh Bedi, Mengdi Wang

CoRR, 2024

A survey of recent methods for addressing AI fairness and bias in biomedicine.

Yifan Yang, Mingquan Lin, Han Zhao, Yifan Peng, Furong Huang, Zhiyong Lu

CoRR, 2024

Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models.

Yuancheng Xu, Jiarui Yao, Manli Shu, Yanchao Sun, Zichu Wu, Ning Yu, Tom Goldstein, Furong Huang

CoRR, 2024

Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss.

Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daumé III, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Shankar Basu, Furong Huang

CoRR, 2024

Unmasking and Quantifying Racial Bias of Large Language Models in Medical Report Generation.

Yifan Yang, Xiaoyu Liu, Qiao Jin, Furong Huang, Zhiyong Lu

CoRR, 2024

Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences.

Xiyao Wang, Yuhang Zhou, Xiaoyu Liu, Hongjin Lu, Yuancheng Xu, Feihong He, Jaehong Yoon, Taixi Lu, Gedas Bertasius, Mohit Bansal, Huaxiu Yao, Furong Huang

CoRR, 2024

Benchmarking the Robustness of Image Watermarks.

Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang

CoRR, 2024

TrustLLM: Trustworthiness in Large Language Models.

Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao

CoRR, 2024

conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks.

Tahseen Rabbani, Jiahao Su, Xiaoyu Liu, David Chan, Geoffrey Sangston, Furong Huang

CoRR, 2024

2023

Temporal expectations mediated the repetition effect in a sequence in two ways.

Haiqiong Yan, Shuang Tang, Furong Huang

Cogn. Process., November, 2023

Explore Spurious Correlations at the Concept Level in Language Models for Text Classification.

Yuhang Zhou, Paiheng Xu, Xiaoyu Liu, Bang An, Wei Ai, Furong Huang

CoRR, 2023

Decodable and Sample Invariant Continuous Object Encoder.

Dehao Yuan, Furong Huang, Cornelia Fermüller, Yiannis Aloimonos

CoRR, 2023

DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization.

Guowei Xu, Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Zhecheng Yuan, Tianying Ji, Yu Luo, Xiaoyu Liu, Jiaxin Yuan, Pu Hua, Shuzhen Li, Yanjie Ze, Hal Daumé III, Furong Huang, Huazhe Xu

CoRR, 2023

Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey.

Soumya Suvra Ghosal, Souradip Chakraborty, Jonas Geiping, Furong Huang, Dinesh Manocha, Amrit Singh Bedi

CoRR, 2023

AutoDAN: Automatic and Interpretable Adversarial Attacks on Large Language Models.

Sicheng Zhu, Ruiyi Zhang, Bang An, Gang Wu, Joe Barrow, Zichao Wang, Furong Huang, Ani Nenkova, Tong Sun

CoRR, 2023

RealFM: A Realistic Mechanism to Incentivize Data Contribution and Device Participation.

Marco Bornstein, Amrit Singh Bedi, Anit Kumar Sahu, Furqan Khan, Furong Huang

CoRR, 2023

Progressively Efficient Learning.

Ruijie Zheng, Khanh Nguyen, Hal Daumé III, Furong Huang, Karthik Narasimhan

CoRR, 2023

Robustness to Multi-Modal Environment Uncertainty in MARL using Curriculum Learning.

Aakriti Agrawal, Rohith Aralikatti, Yanchao Sun, Furong Huang

CoRR, 2023

COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL.

Xiyao Wang, Ruijie Zheng, Yanchao Sun, Ruonan Jia, Wichayaporn Wongkamjan, Huazhe Xu, Furong Huang

CoRR, 2023

Safe and Robust Multi-Agent Reinforcement Learning for Connected Autonomous Vehicles under State Perturbations.

Zhili Zhang, Yanchao Sun, Furong Huang, Fei Miao

CoRR, 2023

Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making.

Yuancheng Xu, Chenghao Deng, Yanchao Sun, Ruijie Zheng, Xiyao Wang, Jieyu Zhao, Furong Huang

CoRR, 2023

Aligning Agent Policy with Externalities: Reward Design via Bilevel RL.

Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Dinesh Manocha, Huazheng Wang, Furong Huang, Mengdi Wang

CoRR, 2023

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

Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess, Chaithanya Kumar Mummadi, Furong Huang

CoRR, 2023

Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations.

Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Tuomas Sandholm, Furong Huang, Stephen McAleer

CoRR, 2023

Reviving Shift Equivariance in Vision Transformers.

Peijian Ding, Davit Soselia, Thomas Armstrong, Jiahao Su, Furong Huang

CoRR, 2023

Large-Scale Distributed Learning via Private On-Device Locality-Sensitive Hashing.

Tahseen Rabbani, Marco Bornstein, Furong Huang

CoRR, 2023

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

Xiangyu Liu, Souradip Chakraborty, Yanchao Sun, Furong Huang

CoRR, 2023

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

Paiheng Xu, Yuhang Zhou, Bang An, Wei Ai, Furong Huang

CoRR, 2023

On the Possibilities of AI-Generated Text Detection.

Souradip Chakraborty, Amrit Singh Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, Furong Huang

CoRR, 2023

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

Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Large-Scale Distributed Learning via Private On-Device LSH.

Tahseen Rabbani, Marco Bornstein, Furong Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder.

Xiaoyu Liu, Jiaxin Yuan, Bang An, Yuancheng Xu, Yifan Yang, Furong Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise.

Arpit Bansal, Eitan Borgnia, Hong-Min Chu, Jie Li, Hamid Kazemi, Furong Huang, Micah Goldblum, Jonas Geiping, Tom Goldstein

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator.

Sicheng Zhu, Bang An, Furong Huang, Sanghyun Hong

Proceedings of the International Conference on Machine Learning, 2023

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

Xiyao Wang, Wichayaporn Wongkamjan, Ruonan Jia, Furong Huang

Proceedings of the International Conference on Machine Learning, 2023

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

Souradip Chakraborty, Amrit S. Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha

Proceedings of the International Conference on Machine Learning, 2023

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

Ruijie Zheng, Xiyao Wang, Huazhe Xu, Furong Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness.

Yuancheng Xu, Yanchao Sun, Micah Goldblum, Tom Goldstein, Furong Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication.

Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Yanchao Sun, Shuang Ma, Ratnesh Madaan, Rogerio Bonatti, Furong Huang, Ashish Kapoor

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Marco Bornstein, Tahseen Rabbani, Evan Wang, Amrit S. Bedi, Furong Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Souradip Chakraborty, Amrit Singh Bedi, Pratap Tokekar, Alec Koppel, Brian M. Sadler, Furong Huang, Dinesh Manocha

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Increased or decreased? Interpersonal neural synchronization in group creation.

Zheng Liang, Songqing Li, Siyuan Zhou, Shi Chen, Ying Li, Yanran Chen, Qingbai Zhao, Furong Huang, Chunming Lu, Quanlei Yu, Zhijin Zhou

NeuroImage, 2022

Compact Neural Architecture Designs by Tensor Representations.

Jiahao Su, Jingling Li, Xiaoyu Liu, Teresa M. Ranadive, Christopher J. Coley, Tai-Ching Tuan, Furong Huang

Frontiers Artif. Intell., 2022

Tensor Computations: Applications and Optimization (Dagstuhl Seminar 22101).

Paolo Bientinesi, David A. Ham, Furong Huang, Paul H. J. Kelly, P. Sadayappan, Edward Stow

Dagstuhl Reports, 2022

Escaping From Saddle Points Using Asynchronous Coordinate Gradient Descent.

Marco Bornstein, Jin-Peng Liu, Jingling Li, Furong Huang

CoRR, 2022

An Energy Optimized Specializing DAG Federated Learning based on Event Triggered Communication.

Xiaofeng Xue, Haokun Mao, Qiong Li, Furong Huang

CoRR, 2022

Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise.

Arpit Bansal, Eitan Borgnia, Hong-Min Chu, Jie S. Li, Hamid Kazemi, Furong Huang, Micah Goldblum, Jonas Geiping, Tom Goldstein

CoRR, 2022

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

Xiyao Wang, Wichayaporn Wongkamjan, Furong Huang

CoRR, 2022

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

Amrit Singh Bedi, Chen Fan, Alec Koppel, Anit Kumar Sahu, Brian M. Sadler, Furong Huang, Dinesh Manocha

CoRR, 2022

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

Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang

CoRR, 2022

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

Arpit Bansal, Avi Schwarzschild, Eitan Borgnia, Zeyad Emam, Furong Huang, Micah Goldblum, Tom Goldstein

CoRR, 2022

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

Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Furong Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Roman Levin, Manli Shu, Eitan Borgnia, Furong Huang, Micah Goldblum, Tom Goldstein

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Mucong Ding, Tahseen Rabbani, Bang An, Evan Wang, Furong Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

End-to-end Algorithm Synthesis with Recurrent Networks: Extrapolation without Overthinking.

Arpit Bansal, Avi Schwarzschild, Eitan Borgnia, Zeyad Emam, Furong Huang, Micah Goldblum, Tom Goldstein

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Transferring Fairness under Distribution Shifts via Fair Consistency Regularization.

Bang An, Zora Che, Mucong Ding, Furong Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Scaling-up Diverse Orthogonal Convolutional Networks by a Paraunitary Framework.

Jiahao Su, Wonmin Byeon, Furong Huang

Proceedings of the International Conference on Machine Learning, 2022

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

Zhi Zhang, Zhuoran Yang, Han Liu, Pratap Tokekar, Furong Huang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Transfer RL across Observation Feature Spaces via Model-Based Regularization.

Yanchao Sun, Ruijie Zheng, Xiyao Wang, Andrew E. Cohen, Furong Huang

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

Yanchao Sun, Ruijie Zheng, Yongyuan Liang, Furong Huang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Tuformer: Data-driven Design of Transformers for Improved Generalization or Efficiency.

Xiaoyu Liu, Jiahao Su, Furong Huang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

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

Tahseen Rabbani, Brandon Yushan Feng, Yifan Yang, Arjun Rajkumar, Amitabh Varshney, Furong Huang

CoRR, 2021

Datasets for Studying Generalization from Easy to Hard Examples.

Avi Schwarzschild, Eitan Borgnia, Arjun Gupta, Arpit Bansal, Zeyad Emam, Furong Huang, Micah Goldblum, Tom Goldstein

CoRR, 2021

Certified Defense via Latent Space Randomized Smoothing with Orthogonal Encoders.

Huimin Zeng, Jiahao Su, Furong Huang

CoRR, 2021

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

Jiahao Su, Wonmin Byeon, Furong Huang

CoRR, 2021

Guided Hyperparameter Tuning Through Visualization and Inference.

Hyekang Joo, Calvin Bao, Ishan Sen, Furong Huang, Leilani Battle

CoRR, 2021

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

Eitan Borgnia, Jonas Geiping, Valeriia Cherepanova, Liam Fowl, Arjun Gupta, Amin Ghiasi, Furong Huang, Micah Goldblum, Tom Goldstein

CoRR, 2021

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

Chen Zhu, Yu Cheng, Zhe Gan, Furong Huang, Jingjing Liu, Tom Goldstein

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Understanding the Generalization Benefit of Model Invariance from a Data Perspective.

Sicheng Zhu, Bang An, Furong Huang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Avi Schwarzschild, Eitan Borgnia, Arjun Gupta, Furong Huang, Uzi Vishkin, Micah Goldblum, Tom Goldstein

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Mucong Ding, Kezhi Kong, Jingling Li, Chen Zhu, John Dickerson, Furong Huang, Tom Goldstein

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Practical and Fast Momentum-Based Power Methods.

Tahseen Rabbani, Apollo Jain, Arjun Rajkumar, Furong Huang

Proceedings of the Mathematical and Scientific Machine Learning, 2021

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

Yanchao Sun, Da Huo, Furong Huang

Proceedings of the 9th International Conference on Learning Representations, 2021

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

Huimin Zeng, Chen Zhu, Tom Goldstein, Furong Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

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

Yanchao Sun, Xiangyu Yin, Furong Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Novel reconciliation protocol based on spinal code for continuous-variable quantum key distribution.

Xuan Wen, Qiong Li, Haokun Mao, Yi Luo, Bing-Ze Yan, Furong Huang

Quantum Inf. Process., 2020

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, Furong Huang, Ying Zhou, Liping Zhuang, Jiahua Xu, Chuanji Gao, Shaozheng Qin, Jing Lu

NeuroImage, 2020

Tensor Computations: Applications and Optimization (Dagstuhl Seminar 20111).

Paolo Bientinesi, David A. Ham, Furong Huang, Paul H. J. Kelly, Christian Lengauer, Saday Sadayappan

Dagstuhl Reports, 2020

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

Yanchao Sun, Furong Huang

CoRR, 2020

Adaptive Learning Rates with Maximum Variation Averaging.

Chen Zhu, Yu Cheng, Zhe Gan, Furong Huang, Jingjing Liu, Tom Goldstein

CoRR, 2020

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

Roozbeh Yousefzadeh, Furong Huang

CoRR, 2020

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

Chen Zhu, Renkun Ni, Ping-Yeh Chiang, Hengduo Li, Furong Huang, Tom Goldstein

CoRR, 2020

Convolutional Tensor-Train LSTM for Spatio-temporal Learning.

Jiahao Su, Wonmin Byeon, Furong Huang, Jan Kautz, Animashree Anandkumar

CoRR, 2020

Convolutional Tensor-Train LSTM for Spatio-Temporal Learning.

Jiahao Su, Wonmin Byeon, Jean Kossaifi, Furong Huang, Jan Kautz, Anima Anandkumar

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

ARMA Nets: Expanding Receptive Field for Dense Prediction.

Jiahao Su, Shiqi Wang, Furong Huang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Fast GPU Convolution for CP-Decomposed Tensorial Neural Networks.

Alexander Reustle, Tahseen Rabbani, Furong Huang

Proceedings of the Intelligent Systems and Applications, 2020

An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm.

Chris Decarolis, Mukul Ram, Seyed Esmaeili, Yu-Xiang Wang, Furong Huang

Proceedings of the 37th International Conference on Machine Learning, 2020

Sampling-Free Learning of Bayesian Quantized Neural Networks.

Jiahao Su, Milan Cvitkovic, Furong Huang

Proceedings of the 8th International Conference on Learning Representations, 2020

Understanding Generalization Through Visualizations.

W. Ronny Huang, Zeyad Emam, Micah Goldblum, Liam Fowl, Justin K. Terry, Furong Huang, Tom Goldstein

Proceedings of the "I Can't Believe It's Not Better!" at NeurIPS Workshops, 2020

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

Yanchao Sun, Furong Huang

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Understanding Generalization in Deep Learning via Tensor Methods.

Jingling Li, Yanchao Sun, Jiahao Su, Taiji Suzuki, Furong Huang

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

People got lost in solving a set of similar problems.

Furong Huang, Qingbai Zhao, Zhijin Zhou, Jing Luo

NeuroImage, 2019

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

Ali Shafahi, Amin Ghiasi, Furong Huang, Tom Goldstein

CoRR, 2019

SysML: The New Frontier of Machine Learning Systems.

Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Eric S. Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros G. Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim M. Hazelwood, Furong Huang, Martin Jaggi, Kevin G. Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konecný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Gordon Murray, Dimitris S. Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan R. Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric P. Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar

CoRR, 2019

Guaranteed Scalable Learning of Latent Tree Models.

Furong Huang, U. N. Niranjan, Ioakeim Perros, Robert Chen, Jimeng Sun, Anima Anandkumar

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

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

Ali Shafahi, Amin Ghiasi, Mahyar Najibi, Furong Huang, John P. Dickerson, Tom Goldstein

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

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

Furong Huang, Shuang Tang, Pei Sun, Jing Luo

NeuroImage, 2018

Tensorized Spectrum Preserving Compression for Neural Networks.

Jiahao Su, Jingling Li, Bobby Bhattacharjee, Furong Huang

CoRR, 2018

Guaranteed Simultaneous Asymmetric Tensor Decomposition via Orthogonalized Alternating Least Squares.

Jialin Li, Furong Huang

CoRR, 2018

Learning Deep ResNet Blocks Sequentially using Boosting Theory.

Furong Huang, Jordan T. Ash, John Langford, Robert E. Schapire

Proceedings of the 35th International Conference on Machine Learning, 2018

2016

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

Furong Huang

PhD thesis, 2016

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

Furong Huang

CoRR, 2016

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

Anthony Gitter, Furong Huang, Ragupathyraj Valluvan, Ernest Fraenkel, Animashree Anandkumar

CoRR, 2016

Non-negative Factorization of the Occurrence Tensor from Financial Contracts.

Zheng Xu, Furong Huang, Louiqa Raschid, Tom Goldstein

CoRR, 2016

2015

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

Furong Huang, Jin Fan, Jing Luo

NeuroImage, 2015

Online tensor methods for learning latent variable models.

Furong Huang, U. N. Niranjan, Mohammad Umar Hakeem, Animashree Anandkumar

J. Mach. Learn. Res., 2015

Convolutional Dictionary Learning through Tensor Factorization.

Furong Huang, Animashree Anandkumar

Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015

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

Forough Arabshahi, Furong Huang, Animashree Anandkumar, Carter T. Butts, Sean M. Fitzhugh

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Escaping From Saddle Points - Online Stochastic Gradient for Tensor Decomposition.

Rong Ge, Furong Huang, Chi Jin, Yang Yuan

Proceedings of The 28th Conference on Learning Theory, 2015

2014

Integrated Structure and Parameters Learning in Latent Tree Graphical Models.

Furong Huang, U. N. Niranjan, Animashree Anandkumar

CoRR, 2014

Modeling Dynamic Social Interactions via Conditional Latent Tree Models.

Forough Arabshahi, Furong Huang, Animashree Anandkumar, Carter T. Butts

CoRR, 2014

2013

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

Furong Huang, U. N. Niranjan, Mohammad Umar Hakeem, Prateek Verma, Animashree Anandkumar

CoRR, 2013

FCD: Fast-concurrent-distributed load balancing under switching costs and imperfect observations.

Furong Huang, Anima Anandkumar

Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

2012

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

Animashree Anandkumar, Vincent Y. F. Tan, Furong Huang, Alan S. Willsky

J. Mach. Learn. Res., 2012

Learning Mixtures of Tree Graphical Models.

Animashree Anandkumar, Daniel J. Hsu, Furong Huang, Sham M. Kakade

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

High-Dimensional Structure Estimation in Ising Models: Tractable Graph Families

Animashree Anandkumar, Vincent Y. F. Tan, Furong Huang, Alan S. Willsky

CoRR, 2011

2010

Prediction-Based Spectrum Aggregation with Hardware Limitation in Cognitive Radio Networks.

Furong Huang, Wei Wang, Haiyan Luo, Guanding Yu, Zhaoyang Zhang

Proceedings of the 71st IEEE Vehicular Technology Conference, 2010