Jun Huan

发表

Zhanxing Zhu, Ruosi Wan, Haoyi Xiong, 2019 .

GrOD: Deep Learning with Gradients Orthogonal Decomposition for Knowledge Transfer, Distillation, and Adversarial Training

Zhanxing Zhu, Ruosi Wan, Haoyi Xiong, 2022, ACM Trans. Knowl. Discov. Data.

Learning Causal Structures Based on Divide and Conquer

Hao Zhang, J. Guan, Hao Zhang, 2020, IEEE Transactions on Cybernetics.

Towards Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms

Jun Huan, T. Hoang, Hilaf Hasson, 2022, ArXiv.

Temporal Output Discrepancy for Loss Estimation-Based Active Learning

D. Dou, B. Wen, Jun Huan, 2022, IEEE Transactions on Neural Networks and Learning Systems.

On the Noisy Gradient Descent that Generalizes as SGD

Zhanxing Zhu, Vladimir Braverman, Haoyi Xiong, 2019, ICML.

Semi-Supervised Active Learning with Temporal Output Discrepancy pdf

Siyu Huang, Dejing Dou, Haoyi Xiong, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

MP2SDA: Multi-Party Parallelized Sparse Discriminant Learning

Yanjie Fu, Haoyi Xiong, Jiang Bian, 2020, ACM Trans. Knowl. Discov. Data.

SecureGBM: Secure Multi-Party Gradient Boosting

Haoyi Xiong, Zhi Feng, Sijia Yang, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Fast Universal Style Transfer for Artistic and Photorealistic Rendering pdf

Jiebo Luo, Jinwen Ma, Haoyi Xiong, 2019, ArXiv.

StyleNAS: An Empirical Study of Neural Architecture Search to Uncover Surprisingly Fast End-to-End Universal Style Transfer Networks pdf

Jiebo Luo, Jinwen Ma, Haoyi Xiong, 2019, ArXiv.

NormLime: A New Feature Importance Metric for Explaining Deep Neural Networks pdf

Boyang Li, Dejing Dou, Jun Huan, 2019, ArXiv.

DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks pdf

Haoyi Xiong, Xingjian Li, Hanchao Wang, 2019, ICLR.

Parameter-Free Style Projection for Arbitrary Image Style Transfer

D. Dou, Haoyi Xiong, Jun Huan, 2020, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Ultrafast Photorealistic Style Transfer via Neural Architecture Search

Jiebo Luo, Haoyi Xiong, Jun Huan, 2019, AAAI.

Instance-Based Deep Transfer Learning

Jun Huan, Tianyang Wang, Michelle Zhu, 2018, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).

Sampling Sparse Representations with Randomized Measurement Langevin Dynamics

Zhanxing Zhu, Haoyi Xiong, Dejing Dou, 2021, ACM Trans. Knowl. Discov. Data.

AGAN: Towards Automated Design of Generative Adversarial Networks pdf

Hanchao Wang, Jun Huan, Jun Huan, 2019, ArXiv.

Data Dropout: Optimizing Training Data for Convolutional Neural Networks

Bo Li, Jun Huan, Tianyang Wang, 2018, 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI).

Knowledge Distillation with Attention for Deep Transfer Learning of Convolutional Networks

Dejing Dou, Haoyi Xiong, Ji Liu, 2021, ACM Trans. Knowl. Discov. Data.

Towards Making Deep Transfer Learning Never Hurt

Zhanxing Zhu, Haoyi Xiong, Xingjian Li, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

Generating Person Images with Appearance-aware Pose Stylizer

Haoyi Xiong, Dejing Dou, Jun Huan, 2020, IJCAI.

Measuring Conditional Independence by Independent Residuals for Causal Discovery

Hao Zhang, Shuigeng Zhou, Jihong Guan, 2019, ACM Trans. Intell. Syst. Technol..

SpHMC: Spectral Hamiltonian Monte Carlo

Zhanxing Zhu, Haoyi Xiong, Cheng-Zhong Xu, 2019, AAAI.

An Empirical Study on Regularization of Deep Neural Networks by Local Rademacher Complexity pdf

Xingjian Li, Yingzhen Yang, Jun Huan, 2019, ArXiv.

Quasi-potential as an implicit regularizer for the loss function in the stochastic gradient descent pdf

Zhanxing Zhu, Haoyi Xiong, Wenqing Hu, 2019, ArXiv.

Ultrafast Photorealistic Style Transfer via Neural Architecture Search pdf

Jiebo Luo, Haoyi Xiong, Jie An, 2019, AAAI.

The Multiplicative Noise in Stochastic Gradient Descent: Data-Dependent Regularization, Continuous and Discrete Approximation pdf

Zhanxing Zhu, Haoyi Xiong, Wenqing Hu, 2019, ArXiv.

Understanding Actors and Evaluating Personae with Gaussian Embeddings

Boyang Li, Haesun Park, Jun Huan, 2018, AAAI.

On the Noisy Gradient Descent that Generalizes as SGD

Wenqing Hu, V. Braverman, Zhanxing Zhu, 2019, ICML.

“In-Network Ensemble”: Deep Ensemble Learning with Diversified Knowledge Distillation

D. Dou, Chengzhong Xu, Jun Huan, 2021, ACM Trans. Intell. Syst. Technol..

Improving Adversarial Robustness via Attention and Adversarial Logit Pairing

Xingjian Li, Dou Goodman, Jun Huan, 2019, Frontiers in Artificial Intelligence.

FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary

N. Jojic, Yingzhen Yang, Jun Huan, 2019, ICLR.