Shufei Zhang

According to our database, Shufei Zhang authored at least 21 papers between 2014 and 2024.

Collaborative distances:

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

2024

ChemLLM: A Chemical Large Language Model.

Di Zhang, Wei Liu, Qian Tan, Jingdan Chen, Hang Yan, Yuliang Yan, Jiatong Li, Weiran Huang, Xiangyu Yue, Dongzhan Zhou, Shufei Zhang, Mao Su, Hansen Zhong, Yuqiang Li, Wanli Ouyang

CoRR, 2024

2023

Robust generative adversarial network.

Shufei Zhang, Zhuang Qian, Kaizhu Huang, Rui Zhang, Jimin Xiao, Yuan He, Canyi Lu

Mach. Learn., December, 2023

Towards Simple and Accurate Human Pose Estimation With Stair Network.

Chenru Jiang, Kaizhu Huang, Shufei Zhang, Xinheng Wang, Jimin Xiao, Zhenxing Niu, Amir Hussain

IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

Aggregated pyramid gating network for human pose estimation without pre-training.

Chenru Jiang, Kaizhu Huang, Shufei Zhang, Xinheng Wang, Jimin Xiao, Yannis Goulermas

Pattern Recognit., June, 2023

2022

Re-thinking model robustness from stability: a new insight to defend adversarial examples.

Shufei Zhang, Kaizhu Huang, Zenglin Xu

Mach. Learn., 2022

Certifying Better Robust Generalization for Unsupervised Domain Adaptation.

Zhiqiang Gao, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Chaoliang Zhong

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021

Manifold adversarial training for supervised and semi-supervised learning.

Shufei Zhang, Kaizhu Huang, Jianke Zhu, Yang Liu

Neural Networks, 2021

Improving generative adversarial networks with simple latent distributions.

Shufei Zhang, Kaizhu Huang, Zhuang Qian, Rui Zhang, Amir Hussain

Neural Comput. Appl., 2021

Improving Model Robustness with Latent Distribution Locally and Globally.

Zhuang Qian, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Xinping Yi

CoRR, 2021

Towards Better Robust Generalization with Shift Consistency Regularization.

Shufei Zhang, Zhuang Qian, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Xinping Yi

Proceedings of the 38th International Conference on Machine Learning, 2021

Gradient Distribution Alignment Certificates Better Adversarial Domain Adaptation.

Zhiqiang Gao, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Chaoliang Zhong

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Novel deep neural network based pattern field classification architectures.

Kaizhu Huang, Shufei Zhang, Rui Zhang, Amir Hussain

Neural Networks, 2020

Robust Generative Adversarial Network.

Shufei Zhang, Zhuang Qian, Kaizhu Huang, Jimin Xiao, Yuan He

CoRR, 2020

Pay Attention Selectively and Comprehensively: Pyramid Gating Network for Human Pose Estimation without Pre-training.

Chenru Jiang, Kaizhu Huang, Shufei Zhang, Xinheng Wang, Jimin Xiao

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019

SimpleGAN Stabilizing Generative Adversarial Networks with Simple Distributions.

Shufei Zhang, Zhuang Qian, Kaizhu Huang, Rui Zhang, Amir Hussain

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Generalized Adversarial Training in Riemannian Space.

Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Manifold Adversarial Learning.

Shufei Zhang, Kaizhu Huang, Jianke Zhu, Yang Liu

CoRR, 2018

Learning from Few Samples with Memory Network.

Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain

Cogn. Comput., 2018

2017

Improve Deep Learning with Unsupervised Objective.

Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Learning from Few Samples with Memory Network.

Shufei Zhang, Kaizhu Huang

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2014

A Novel Hybrid Approach for Combining Deep and Traditional Neural Networks.

Rui Zhang, Shufei Zhang, Kaizhu Huang

Proceedings of the Neural Information Processing - 21st International Conference, 2014