Zhanxing Zhu

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Bing YuXiaohongshuVerified email at pku.edu.cn
Lei Wu (吴磊)Assistant Professor, Peking UniversityVerified email at math.pku.edu.cn
Haoyi XiongMicrosoftVerified email at microsoft.com
Haoteng YINPurdue UniversityVerified email at purdue.edu
Ju XuPeking UniversityVerified email at pku.edu.cn
Zhouchen LinProfessor, Peking University; Fellow of IEEE, IAPR, CSIG & AAIA; ex-VP of Samsung ResearchVerified email at pku.edu.cn
Ke Sun (孙科)Postdoc, Harvard UniversityVerified email at fas.harvard.edu
Dinghuai Zhang 张鼎怀Microsoft Research / MilaVerified email at mila.quebec
Mengzhang LiShanghai AI LabVerified email at pku.edu.cn
Jun (Luke) HuanAWS AI LabsVerified email at amazon.com
Yansong FengPeking UniversityVerified email at pku.edu.cn
Ruosi WanHong Kong University of Science and TechnologyVerified email at connect.ust.hk
Tianyuan ZhangMITVerified email at mit.edu
Zheng WangProfessor of Intelligent Software Technology, University of LeedsVerified email at leeds.ac.uk
Amos StorkeyProfessor of Machine Learning and AI, School of Informatics, University of Edinburgh, UKVerified email at ed.ac.uk
Wenqing HuMissouri University of Science and Technology (formerly University of Missouri, Rolla)Verified email at mst.edu
Jingfeng WuUniversity of California, BerkeleyVerified email at berkeley.edu
He WANG (王鹤)Associate Professor, Department of Computer Science, University College London, UKVerified email at ucl.ac.uk
Bin DongBeijing International Center for Mathematical Research, Peking UniversityVerified email at math.pku.edu.cn
Yiping LuAssistant Professor, Northwestern UniversityVerified email at northwestern.edu

Zhanxing Zhu

Associate Professor, ECS, University of Southampton

Verified email at soton.ac.uk - Homepage

Deep learning robust and trustworthy machine learning time series AI for Science


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Spatio-temporal graph convolutional neural network: A deep learning framework for traffic forecasting B Yu, H Yin, Z Zhu International Joint Conference of Artificial Intelligence (IJCAI 2018), 2018	4414*	2018
Spatial-temporal fusion graph neural networks for traffic flow forecasting M Li, Z Zhu AAAI 2021, 2020	756	2020
You only propagate once: Accelerating adversarial training via maximal principle D Zhang, T Zhang, Y Lu, Z Zhu, B Dong Advances in Neural Information Processing Systems, 2019, 2019	484	2019
Reinforced continual learning J Xu, Z Zhu Advances in Neural Information Processing Systems (NeurIPS 2018), 899-908, 2018	418	2018
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes. K Sun, Z Lin, Z Zhu AAAI 2020, 5892-5899, 2020	277	2020
The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects Z Zhu, J Wu, B Yu, L Wu, J Ma International Conference on Machine Learning (ICML 2019), 7654-7663, 2019	247	2019
Towards Understanding Generalization of Deep Learning: Perspective of Loss Landscapes L Wu, Z Zhu The 34th International Conference on Machine Learning (ICML 2017 …, 2017	226	2017
Novel subgroups of patients with adult-onset diabetes in Chinese and US populations X Zou, X Zhou, Z Zhu, L Ji The Lancet Diabetes & Endocrinology 7 (1), 9-11, 2019	211	2019
Interpreting Adversarially Trained Convolutional Neural Networks T Zhang, Z Zhu International Conference on Machine Learning (ICML 2019), 2019	174	2019
Towards understanding and improving the transferability of adversarial examples in deep neural networks L Wu, Z Zhu Asian Conference on Machine Learning, 837-850, 2020	172*	2020
Yet another text captcha solver: A generative adversarial network based approach G Ye, Z Tang, D Fang, Z Zhu, Y Feng, P Xu, X Chen, Z Wang Proceedings of the 2018 ACM SIGSAC conference on computer and communications …, 2018	171	2018
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective B Shi, D Zhang, Q Dai, Z Zhu, Y Mu, J Wang International Conference for Machine Learning (ICML 2020), 2020	122	2020
Efficient Neural Architecture Search via Proximal Iterations. Q Yao, J Xu, WW Tu, Z Zhu AAAI 2020, 6664-6671, 2020	119	2020
On the Noisy Gradient Descent that Generalizes as SGD J Wu, W Hu, H Xiong, J Huan, V Braverman, Z Zhu International Conference for Machine Learning (ICML 2020), 2020	112	2020
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models K Sun, Z Zhu, Z Lin ICLR 2021, 2021	104	2021
Learning with noise: Enhance distantly supervised relation extraction with dynamic transition matrix B Luo, Y Feng, Z Wang, Z Zhu, S Huang, R Yan, D Zhao ACL 2017, 2017	104	2017
Spatio-temporal manifold learning for human motions via long-horizon modeling H Wang, ESL Ho, HPH Shum, Z Zhu IEEE transactions on visualization and computer graphics 27 (1), 216-227, 2019	86	2019
Automatic data augmentation for 3D medical image segmentation J Xu, M Li, Z Zhu Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020	80	2020
St-unet: A spatio-temporal u-network for graph-structured time series modeling B Yu, H Yin, Z Zhu arXiv preprint arXiv:1903.05631, 2019	77	2019
Black-box certification with randomized smoothing: A functional optimization based framework D Zhang, M Ye, C Gong, Z Zhu, Q Liu NeurIPS 2020, 2020	74	2020

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