Zhanxing Zhu - Concepedia

Author

Zhanxing Zhu

Peking University ORCID

Also Known As

Mu, Yadong, W.P. Zhu, Z.C. Wang & X.D. Yuan, Wang, Jun, Z. G. Zhu, Z. Zhu, Zhanxing Zhu, Zhu Zhanxing, Zhu, Zhanxing

143

Publications

4.5K

Citations

H-Index

137

Concepts

All Affiliations

Peking University Beijing Institute of Big Data Research University of Edinburgh Baidu (China)Shanghai Jiao Tong University

About

Zhanxing Zhu is an author at Peking University specializing in engineering, machine learning, and deep learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	25	45	3K
2	Education	2	2	224
3	Health Sciences	2	2	125
4	Social Sciences	2	2	813
5	Language Studies	1	1	102

Zhanxing Zhu

Publications

Citations

H-Index

Page 1

	Year	Citations
Neural Information Processing Systems (NIPS) Xiaocheng Shang, Zhanxing Zhu, Benedict Leimkuhler, Intelligent Information ProcessingComputational NeuroscienceComputer ScienceBrain-like ComputingNeurocomputers	2015	835
Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting Mengzhang Li, Zhanxing Zhu Proceedings of the AAAI Conference on Artificial Intelligence EngineeringMachine LearningNeural Networks (Machine Learning)Traffic FlowSpatiotemporal Data Fusion	2021	796
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes Ke Sun, Zhouchen Lin, Zhanxing Zhu Proceedings of the AAAI Conference on Artificial Intelligence Graph Representation LearningMachine LearningEngineeringNetwork AnalysisGraph Signal Processing	2020	237
Reinforced Continual Learning Ju Xu, Zhanxing Zhu arXiv (Cornell University) Artificial IntelligenceIncremental LearningEngineeringMachine LearningSequential Learning	2018	152
Yet Another Text Captcha Solver Guixin Ye, Zhanyong Tang, Dingyi Fang, Artificial IntelligenceAbuse DetectionChatbotEngineeringMachine Learning	2018	132
Towards Understanding Generalization of Deep Learning: Perspective of Loss Landscapes Lei Wu, Zhanxing Zhu, E Weinan arXiv (Cornell University) Artificial IntelligenceNeural Scaling LawDeep Neural NetworksEngineeringMachine Learning	2017	126
Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix Bingfeng Luo, Yansong Feng, Zheng Wang, Structured PredictionEngineeringMachine LearningRelation ExtractionText Mining	2017	102
Efficient Neural Architecture Search via Proximal Iterations Quanming Yao, Ju Xu, Wei-Wei Tu, Proceedings of the AAAI Conference on Artificial Intelligence Artificial IntelligenceModel OptimizationEvolving Neural NetworkEngineeringMachine Learning	2020	101
Understanding and Enhancing the Transferability of Adversarial Examples Lei Wu, Zhanxing Zhu, Cheng Tai, arXiv (Cornell University) Artificial IntelligenceAdversarial ExamplesEngineeringMachine LearningData Science	2018	95
The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects Zhanxing Zhu, Jingfeng Wu, Bing Yu, ePrints Soton (University of Southampton) EngineeringMachine LearningVariational AnalysisAutoencodersFull Gradient Descent	2018	94

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