Yanzhi Wang mostly deals with Artificial intelligence, Energy storage, Distributed computing, Electronic engineering and Artificial neural network. His Artificial intelligence research incorporates elements of Machine learning and Pattern recognition. His Energy storage research integrates issues from Electricity generation, Stand-alone power system, Electrical engineering and Electric potential energy.
His Distributed computing study incorporates themes from Wireless, Scheduling, Energy consumption and Mobile cloud computing. His Electronic engineering study also includes
His primary areas of study are Artificial intelligence, Electronic engineering, Artificial neural network, Pruning and Computer engineering. His research in Artificial intelligence intersects with topics in Machine learning and Pattern recognition. His Electronic engineering study combines topics from a wide range of disciplines, such as Power and Electronic circuit, Electrical engineering, Voltage.
Yanzhi Wang combines subjects such as Battery and Energy storage with his study of Electrical engineering. Yanzhi Wang interconnects Computation and Speedup in the investigation of issues within Pruning. His Computer engineering study also includes fields such as
Yanzhi Wang focuses on Pruning, Artificial intelligence, Artificial neural network, Computer engineering and Inference. The various areas that he examines in his Pruning study include Recurrent neural network, Overhead, Edge device, Data mining and Speedup. His Artificial intelligence research includes themes of Machine learning and Pattern recognition.
His Artificial neural network research is multidisciplinary, incorporating perspectives in Dram, Distributed computing, Filter, Redundancy and Computation. His studies deal with areas such as Range and Resource allocation as well as Distributed computing. Yanzhi Wang has researched Inference in several fields, including Optimizing compiler and Algorithm.
His primary areas of investigation include Pruning, Artificial intelligence, Inference, Speedup and Computer engineering. His Pruning research is multidisciplinary, incorporating elements of Recurrent neural network, Overhead and Crossbar switch. He has included themes like Machine learning, Computation and Pattern recognition in his Artificial intelligence study.
His studies examine the connections between Computation and genetics, as well as such issues in Artificial neural network, with regards to Energy consumption and Process. His Inference research incorporates themes from Optimizing compiler and Algorithm. His studies in Computer engineering integrate themes in fields like Matrix multiplication and Performance improvement.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
GW170104: Observation of a 50-Solar-Mass Binary Black Hole Coalescence at Redshift 0.2
B. P. Abbott;R. Abbott;T. D. Abbott;F. Acernese.
Physical Review Letters (2017)
Thermal transport through a one-dimensional quantum spin-1/2 chain heterostructure: The role of three-site spin interaction
H. Wu;Y. Wang;W. J. Gong;Y. Han.
European Physical Journal B (2013)
Task Scheduling with Dynamic Voltage and Frequency Scaling for Energy Minimization in the Mobile Cloud Computing Environment
Xue Lin;Yanzhi Wang;Qing Xie;Massoud Pedram.
IEEE Transactions on Services Computing (2015)
Spatiotemporal modeling and prediction in cellular networks: A big data enabled deep learning approach
Jing Wang;Jian Tang;Zhiyuan Xu;Yanzhi Wang.
international conference on computer communications (2017)
CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices
Caiwen Ding;Siyu Liao;Yanzhi Wang;Zhe Li.
international symposium on microarchitecture (2017)
Deep Reinforcement Learning for Building HVAC Control
Tianshu Wei;Yanzhi Wang;Qi Zhu.
design automation conference (2017)
A deep reinforcement learning based framework for power-efficient resource allocation in cloud RANs
Zhiyuan Xu;Yanzhi Wang;Jian Tang;Jing Wang.
international conference on communications (2017)
Adaptive Control for Energy Storage Systems in Households With Photovoltaic Modules
Yanzhi Wang;Xue Lin;Massoud Pedram.
IEEE Transactions on Smart Grid (2014)
A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers
Tianyun Zhang;Shaokai Ye;Kaiqi Zhang;Jian Tang.
european conference on computer vision (2018)
Hybrid electrical energy storage systems
Massoud Pedram;Naehyuck Chang;Younghyun Kim;Yanzhi Wang.
international symposium on low power electronics and design (2010)
Profile was last updated on December 6th, 2021.
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