Yisen Wang

发表

Decoupled Networks ( with Appendix )

James M. Rehg, Le Song, Bo Dai, 2018 .

Clustering Effect of Adversarial Robust Models

Shutao Xia, Yong Jiang, Yisen Wang, 2021, NeurIPS.

Query efficient black-box adversarial attack on deep neural networks

Shutao Xia, Yong Jiang, Yisen Wang, 2022, Pattern Recognit..

Adversarial Weight Perturbation Helps Robust Generalization

Yisen Wang, Dongxian Wu, Shu-tao Xia, 2020, NeurIPS.

A Novel Consistent Random Forest Framework: Bernoulli Random Forests

Shu-Tao Xia, Jia Wu, Xingquan Zhu, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Student-t Process Regression with Student-t Likelihood

Jianfei Cai, Shu-Tao Xia, Tao Dai, 2017, IJCAI.

Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems pdf

James Bailey, Feng Lu, Lin Gu, 2019, Pattern Recognit..

Hilbert-Based Generative Defense for Adversarial Examples

Yan Feng, Yang Bai, Tao Dai, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Decoupled Networks

Le Song, James M. Rehg, Zhen Liu, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Symmetric Cross Entropy for Robust Learning With Noisy Labels

James Bailey, Jinfeng Yi, Yuan Luo, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Dimensionality-Driven Learning with Noisy Labels

James Bailey, Shuo Zhou, Shu-Tao Xia, 2018, ICML.

Improving Adversarial Robustness Requires Revisiting Misclassified Examples

James Bailey, Jinfeng Yi, Quanquan Gu, 2020, ICLR.

A less-greedy two-term Tsallis Entropy Information Metric approach for decision tree classification

Shu-Tao Xia, Jia Wu, Yisen Wang, 2017, Knowl. Based Syst..

Normalized Loss Functions for Deep Learning with Noisy Labels pdf

James Bailey, Simone Romano, Sarah Erfani, 2020, ICML.

Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets pdf

James Bailey, Shu-Tao Xia, Xingjun Ma, 2020, ICLR.

Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles

James Bailey, Yun Yang, Xingjun Ma, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

On the Convergence and Robustness of Adversarial Training

James Bailey, Jinfeng Yi, Bowen Zhou, 2021, ICML.

Unlearnable Examples: Making Personal Data Unexploitable

Xingjun Ma, J. Bailey, S. Erfani, 2021, ICLR.

Iterative Learning with Open-set Noisy Labels

Le Song, James Bailey, Shu-Tao Xia, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Dirichlet Latent Variable Hierarchical Recurrent Encoder-Decoder in Dialogue Generation

Yuan Luo, Min Zeng, Yisen Wang, 2019, EMNLP.

Unbiased Multivariate Correlation Analysis

James Bailey, Vinh Nguyen, Shu-Tao Xia, 2017, AAAI.

Residual Convolutional CTC Networks for Automatic Speech Recognition pdf

Zhiheng Huang, Songbai Pu, Yisen Wang, 2017, ArXiv.

Improving Query Efficiency of Black-box Adversarial Attack pdf

Shu-Tao Xia, Yong Jiang, Yang Bai, 2020, ECCV.

Collaborative Representation Cascade for Single-Image Super-Resolution

Qionghai Dai, Dong Xu, Yun Fu, 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

A novel feature subspace selection method in random forests for high dimensional data

Shu-Tao Xia, Yisen Wang, Shutao Xia, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Learning Deep Hidden Nonlinear Dynamics from Aggregate Data pdf

James Bailey, Bo Dai, Hongyuan Zha, 2018, UAI 2018.

Unifying attribute splitting criteria of decision trees by Tsallis entropy

Shu-Tao Xia, Yisen Wang, Shutao Xia, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Bernoulli Random Forests: Closing the Gap between Theoretical Consistency and Empirical Soundness

Shu-Tao Xia, Jia Wu, Xingquan Zhu, 2016, IJCAI.

Link sign prediction by Variational Bayesian Probabilistic Matrix Factorization with Student-t Prior

Shu-Tao Xia, Jia Wu, Yisen Wang, 2017, Inf. Sci..

Robust Survey Aggregation with Student-t Distribution and Sparse Representation

Jianfei Cai, Shu-Tao Xia, Tao Dai, 2017, IJCAI.

Unifying Decision Trees Split Criteria Using Tsallis Entropy

Shutao Xia, Chaobing Song, Yisen Wang, 2015, 1511.08136.

Improving Decision Trees Using Tsallis Entropy pdf

Shu-Tao Xia, Chao-Bing Song, Yisen Wang, 2015, ArXiv.

Unifying the Split Criteria of Decision Trees Using Tsallis Entropy

Shu-Tao Xia, Yisen Wang, Chaobing Song, 2016 .

FMM-Attack: A Flow-based Multi-modal Adversarial Attack on Video-based LLMs

Yisen Wang, Kuofeng Gao, Yang Bai, 2024, ArXiv.

Adversarial Weight Perturbation Helps Robust Generalization

Shutao Xia, Yisen Wang, Dongxian Wu, 2020, NeurIPS.