Electronic engineering, Embedded system, Integrated circuit, Thermal management of electronic devices and systems and Real-time computing are his primary areas of study. His Electronic engineering research is multidisciplinary, relying on both System on a chip, Temporal modeling, Electronics, Process variation and Circuit reliability. His Embedded system research incorporates elements of Energy consumption, Multiprocessing and Chip.
Li Shang combines subjects such as Thermal and Granularity with his study of Integrated circuit. Li Shang has included themes like Motion detection, Simulation, Cluster analysis and Mobile phone in his Real-time computing study. His study looks at the relationship between Dynamic voltage scaling and topics such as Dynamic demand, which overlap with Routing.
His primary areas of study are Electronic engineering, Embedded system, Integrated circuit, Collaborative filtering and Recommender system. His work carried out in the field of Electronic engineering brings together such families of science as Interconnection, Electrical engineering and Reliability. As a part of the same scientific family, Li Shang mostly works in the field of Embedded system, focusing on Multiprocessing and, on occasion, Chip.
His Integrated circuit study incorporates themes from Electronics, Thermal analysis, Thermal and Leakage. The study incorporates disciplines such as Data mining and Cluster analysis in addition to Collaborative filtering. His Recommender system research incorporates themes from Probabilistic latent semantic analysis and Privacy preserving.
Li Shang focuses on Collaborative filtering, Embedded intelligence, Internet of Things, Wireless and Robustness. Particularly relevant to MovieLens is his body of work in Collaborative filtering. His Embedded intelligence research is multidisciplinary, incorporating perspectives in Multimedia and World Wide Web.
His studies examine the connections between Robustness and genetics, as well as such issues in Photovoltaic system, with regards to Unsupervised learning, Anomaly detection and SCADA. His studies deal with areas such as Computation and Data mining as well as Unsupervised learning. His biological study spans a wide range of topics, including Pipeline and Video processing.
His primary areas of investigation include Collaborative filtering, Fault detection and isolation, Photovoltaic system, Robustness and Machine learning. His work deals with themes such as Electricity generation and Computer engineering, which intersect with Collaborative filtering. His studies in Fault detection and isolation integrate themes in fields like Anomaly detection, Data mining, SCADA and Unsupervised learning.
His Photovoltaic system study frequently draws parallels with other fields, such as Computation. His work on MovieLens and Stochastic gradient descent as part of his general Machine learning study is frequently connected to Generalization and Adaptive learning rate, thereby bridging the divide between different branches of science.
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.
Dynamic voltage scaling with links for power optimization of interconnection networks
Li Shang;Li-Shiuan Peh;N.K. Jha.
high-performance computer architecture (2003)
Dynamic power consumption in Virtex™-II FPGA family
Li Shang;Alireza S. Kaviani;Kusuma Bathala.
field programmable gate arrays (2002)
Accurate temperature-dependent integrated circuit leakage power estimation is easy
Yongpan Liu;Robert P. Dick;Li Shang;Huazhong Yang.
design, automation, and test in europe (2007)
Three-Dimensional Chip-Multiprocessor Run-Time Thermal Management
Changyun Zhu;Zhenyu Gu;Li Shang;R.P. Dick.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2008)
The next generation of low-cost personal air quality sensors for quantitative exposure monitoring
R. Piedrahita;Y. Xiang;N. Masson;J. Ortega.
Atmospheric Measurement Techniques (2014)
Thermal Modeling, Characterization and Management of On-Chip Networks
Li Shang;Li-Shiuan Peh;Amit Kumar;Niraj K. Jha.
international symposium on microarchitecture (2004)
ARIEL: automatic wi-fi based room fingerprinting for indoor localization
Yifei Jiang;Xin Pan;Kun Li;Qin Lv.
ubiquitous computing (2012)
C-Pack: A High-Performance Microprocessor Cache Compression Algorithm
Xi Chen;Lei Yang;Robert P Dick;Li Shang.
IEEE Transactions on Very Large Scale Integration Systems (2010)
HybDTM: a coordinated hardware-software approach for dynamic thermal management
Amit Kumar;Li Shang;Li-Shiuan Peh;Niraj K. Jha.
design automation conference (2006)
In-Network Cache Coherence
Noel Eisley;Li-Shiuan Peh;Li Shang.
international symposium on microarchitecture (2006)
Profile was last updated on December 6th, 2021.
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