His Artificial intelligence research is linked to Artificial neural network, Deep learning and Convolutional neural network. Yanzhi Wang applies his multidisciplinary studies on Artificial neural network and Artificial intelligence in his research. His Quantum mechanics study often links to related topics such as Voltage. His research on Voltage often connects related areas such as Quantum mechanics. His research on Electrical engineering frequently connects to adjacent areas such as Photovoltaic system. His work in Geometry is not limited to one particular discipline; it also encompasses Reduction (mathematics). Reduction (mathematics) is frequently linked to Geometry in his study. Power (physics) is closely attributed to Energy storage in his research. His research is interdisciplinary, bridging the disciplines of Power (physics) and Energy storage.
Many of his Artificial intelligence research pursuits overlap with Artificial neural network, Algorithm and Machine learning. In his research, Yanzhi Wang undertakes multidisciplinary study on Algorithm and Artificial intelligence. He conducts interdisciplinary study in the fields of Organic chemistry and Physical chemistry through his works. He connects Physical chemistry with Organic chemistry in his research. He undertakes multidisciplinary investigations into Electrode and Electrochemistry in his work. Yanzhi Wang undertakes multidisciplinary investigations into Electrochemistry and Electrode in his work.
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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)
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)
Experience-driven Networking: A Deep Reinforcement Learning based Approach
Zhiyuan Xu;Jian Tang;Jingsong Meng;Weiyi Zhang.
international conference on computer communications (2018)
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)
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)
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)
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)
A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning
Ning Liu;Zhe Li;Jielong Xu;Zhiyuan Xu.
international conference on distributed computing systems (2017)
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