Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Zhuolun He"'
Publikováno v:
Frontiers in Environmental Science, Vol 11 (2023)
Lake water level reflects the dynamic balance of water input and output/loss and is a sensitive indicator of climate change and variation. Studying the relationship between the closed Qinghai Lake water level and watershed climate change is important
Externí odkaz:
https://doaj.org/article/5e901879944147188e180bf27928f28f
Publikováno v:
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24e258e7ecde7a41d499af9a6010030e
https://doi.org/10.1145/3508352.3549383
https://doi.org/10.1145/3508352.3549383
Publikováno v:
Proceedings of the 59th ACM/IEEE Design Automation Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09092d5a4a5e126e5844dfd6bb166d27
https://doi.org/10.1145/3489517.3530410
https://doi.org/10.1145/3489517.3530410
Publikováno v:
2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e33bba42dfe1e679c71a6f2758d82fc6
https://doi.org/10.1109/iccad51958.2021.9643581
https://doi.org/10.1109/iccad51958.2021.9643581
Autor:
Bizhao Shi, Jiaxi Zhang, Zhuolun He, Xuechao Wei, Sicheng Li, Guojie Luo, Hongzhong Zheng, Yuan Xie
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. :1-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca563338b962cf2b84878c08b624b0b6
https://doi.org/10.1109/tcad.2023.3247621
https://doi.org/10.1109/tcad.2023.3247621
Publikováno v:
ASP-DAC
The remarkable breakthroughs in deep learning have led to a dramatic thirst for computational resources to tackle interesting real-world problems. Various neural network processors have been proposed for the purpose, yet, far fewer discussions have b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7be5c4b706e6ec10277a8b8cfac5476
https://doi.org/10.1145/3394885.3431625
https://doi.org/10.1145/3394885.3431625
Publikováno v:
2020 IEEE 15th International Conference on Solid-State & Integrated Circuit Technology (ICSICT).
Physical synthesis has emerged as a core component in a modern circuit design flow. Large-scale optimization problem is often involved in the process, which requires substantial efforts to solve and no optimality is guaranteed. Reinforcement learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccb6c582be6df9843aa5c8522767b7fa
https://doi.org/10.1109/icsict49897.2020.9278350
https://doi.org/10.1109/icsict49897.2020.9278350
Publikováno v:
ICCD
Automatic heuristic design through reinforcement learning opens a promising direction for solving computationally difficult problems. Unlike most previous works that aimed at solution construction, we explore the possibility of acquiring local search
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfcd45fd6991b1412d26213d581f33b0
https://doi.org/10.1109/iccd50377.2020.00061
https://doi.org/10.1109/iccd50377.2020.00061
Publikováno v:
ISPD
As the scale of integrated circuits keeps increasing, it is witnessed that there is a surge in the research of electronic design automation (EDA) to make the technology node scaling happen. Graph is of great significance in the technology evolution s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49ba228a190ee5f7be81455cec2d2432
https://doi.org/10.1145/3372780.3378173
https://doi.org/10.1145/3372780.3378173
The emerging edge computing has promoted immense interests in compacting a neural network without sacrificing much accuracy. In this regard, low-rank tensor decomposition constitutes a powerful tool to compress convolutional neural networks (CNNs) by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b57423604f6a9bfa37b99c017fe7d3cd
http://arxiv.org/abs/2002.12663
http://arxiv.org/abs/2002.12663
