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Shufei Zhang
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2020 – today
- 2024
- [j10]Taoyong Cui, Chenyu Tang, Mao Su, Shufei Zhang, Yuqiang Li, Lei Bai, Yuhan Dong, Xingao Gong, Wanli Ouyang:
Geometry-enhanced pretraining on interatomic potentials. Nat. Mac. Intell. 6(4): 428-436 (2024) - [j9]Zhuang Qian, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Xinping Yi, Bin Gu, Huan Xiong:
Perturbation diversity certificates robust generalization. Neural Networks 172: 106117 (2024) - [i8]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:
ChemLLM: A Chemical Large Language Model. CoRR abs/2402.06852 (2024) - [i7]Ruifeng Li, Dongzhan Zhou, Ancheng Shen, Ao Zhang, Mao Su, Mingqian Li, Hongyang Chen, Gang Chen, Yin Zhang, Shufei Zhang, Yuqiang Li, Wanli Ouyang:
Physical formula enhanced multi-task learning for pharmacokinetics prediction. CoRR abs/2404.10354 (2024) - [i6]Junxian Li, Di Zhang, Xunzhi Wang, Zeying Hao, Jingdi Lei, Qian Tan, Cai Zhou, Wei Liu, Yaotian Yang, Xinrui Xiong, Weiyun Wang, Zhe Chen, Wenhai Wang, Wei Li, Shufei Zhang, Mao Su, Wanli Ouyang, Yuqiang Li, Dongzhan Zhou:
ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area. CoRR abs/2408.07246 (2024) - [i5]Di Zhang, Jianbo Wu, Jingdi Lei, Tong Che, Jiatong Li, Tong Xie, Xiaoshui Huang, Shufei Zhang, Marco Pavone, Yuqiang Li, Wanli Ouyang, Dongzhan Zhou:
LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning. CoRR abs/2410.02884 (2024) - 2023
- [j8]Shufei Zhang, Zhuang Qian, Kaizhu Huang, Rui Zhang, Jimin Xiao, Yuan He, Canyi Lu:
Robust generative adversarial network. Mach. Learn. 112(12): 5135-5161 (2023) - [j7]Chenru Jiang, Kaizhu Huang, Shufei Zhang, Xinheng Wang, Jimin Xiao, Yannis Goulermas:
Aggregated pyramid gating network for human pose estimation without pre-training. Pattern Recognit. 138: 109429 (2023) - [j6]Chenru Jiang, Kaizhu Huang, Shufei Zhang, Xinheng Wang, Jimin Xiao, Zhenxing Niu, Amir Hussain:
Towards Simple and Accurate Human Pose Estimation With Stair Network. IEEE Trans. Emerg. Top. Comput. Intell. 7(3): 805-817 (2023) - 2022
- [j5]Shufei Zhang, Kaizhu Huang, Zenglin Xu:
Re-thinking model robustness from stability: a new insight to defend adversarial examples. Mach. Learn. 111(7): 2489-2513 (2022) - [c9]Zhiqiang Gao, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Chaoliang Zhong:
Certifying Better Robust Generalization for Unsupervised Domain Adaptation. ACM Multimedia 2022: 2399-2410 - [i4]Chenru Jiang, Kaizhu Huang, Shufei Zhang, Xinheng Wang, Jimin Xiao, Zhenxing Niu, Amir Hussain:
Towards Simple and Accurate Human Pose Estimation with Stair Network. CoRR abs/2202.09115 (2022) - 2021
- [j4]Shufei Zhang, Kaizhu Huang, Zhuang Qian, Rui Zhang, Amir Hussain:
Improving generative adversarial networks with simple latent distributions. Neural Comput. Appl. 33(20): 13193-13203 (2021) - [j3]Shufei Zhang, Kaizhu Huang, Jianke Zhu, Yang Liu:
Manifold adversarial training for supervised and semi-supervised learning. Neural Networks 140: 282-293 (2021) - [c8]Zhiqiang Gao, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Chaoliang Zhong:
Gradient Distribution Alignment Certificates Better Adversarial Domain Adaptation. ICCV 2021: 8917-8926 - [c7]Shufei Zhang, Zhuang Qian, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Xinping Yi:
Towards Better Robust Generalization with Shift Consistency Regularization. ICML 2021: 12524-12534 - [i3]Zhuang Qian, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Xinping Yi:
Improving Model Robustness with Latent Distribution Locally and Globally. CoRR abs/2107.04401 (2021) - 2020
- [j2]Kaizhu Huang, Shufei Zhang, Rui Zhang, Amir Hussain:
Novel deep neural network based pattern field classification architectures. Neural Networks 127: 82-95 (2020) - [c6]Chenru Jiang, Kaizhu Huang, Shufei Zhang, Xinheng Wang, Jimin Xiao:
Pay Attention Selectively and Comprehensively: Pyramid Gating Network for Human Pose Estimation without Pre-training. ACM Multimedia 2020: 2364-2371 - [i2]Shufei Zhang, Zhuang Qian, Kaizhu Huang, Jimin Xiao, Yuan He:
Robust Generative Adversarial Network. CoRR abs/2004.13344 (2020)
2010 – 2019
- 2019
- [c5]Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain:
Generalized Adversarial Training in Riemannian Space. ICDM 2019: 826-835 - [c4]Shufei Zhang, Zhuang Qian, Kaizhu Huang, Rui Zhang, Amir Hussain:
SimpleGAN Stabilizing Generative Adversarial Networks with Simple Distributions. ICDM Workshops 2019: 905-910 - 2018
- [j1]Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain:
Learning from Few Samples with Memory Network. Cogn. Comput. 10(1): 15-22 (2018) - [i1]Shufei Zhang, Kaizhu Huang, Jianke Zhu, Yang Liu:
Manifold Adversarial Learning. CoRR abs/1807.05832 (2018) - 2017
- [c3]Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain:
Improve Deep Learning with Unsupervised Objective. ICONIP (1) 2017: 720-728 - 2016
- [c2]Shufei Zhang, Kaizhu Huang:
Learning from Few Samples with Memory Network. ICONIP (1) 2016: 606-614 - 2014
- [c1]Rui Zhang, Shufei Zhang, Kaizhu Huang:
A Novel Hybrid Approach for Combining Deep and Traditional Neural Networks. ICONIP (3) 2014: 349-356
Coauthor Index
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last updated on 2024-11-08 20:32 CET by the dblp team
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