Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Guoyang Chen"'
Autor:
Ying Feng, Moutong Chen, Xianhu Wei, Honghui Zhu, Jumei Zhang, Youxiong Zhang, Liang Xue, Lanyan Huang, Guoyang Chen, Minling Chen, Yu Ding, Qingping Wu
Publikováno v:
Frontiers in Microbiology, Vol 13 (2022)
Matrix-assisted laser desorption/ionization time-of-flight mass (MALDI-TOF) spectrometry fingerprinting has reduced turnaround times, costs, and labor as conventional procedures in various laboratories. However, some species strains with high genetic
Externí odkaz:
https://doaj.org/article/c30a971cc85b49d8b1d64320416f912c
Autor:
New Fei Ho, Benjamin J. H. Lee, Jordon X. J. Tng, Max Z. Y. Lam, Guoyang Chen, Mingyuan Wang, Juan Zhou, Richard S. E. Keefe, Kang Sim
Publikováno v:
European Psychiatry, Vol 63 (2020)
AbstractBackground.Earlier studies examining structural brain abnormalities associated with cognitively derived subgroups were mainly cross-sectional in design and had mixed findings. Thus, we obtained cross-sectional and longitudinal data to charact
Externí odkaz:
https://doaj.org/article/e7a9f3b5f09c4d808e7bf8cfcee52cc1
Autor:
Ying Feng, Xianhu Wei, Moutong Chen, Honghui Zhu, Jumei Zhang, Youxiong Zhang, Liang Xue, Lanyan Huang, Guoyang Chen, Qihui Gu, Shi Wu, Yu Ding, Qingping Wu
Publikováno v:
Analytical Chemistry. 95:6218-6226
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcb64d30f0332e9a0b5bd0ce96401289
https://doi.org/10.1021/acs.analchem.2c02554
https://doi.org/10.1021/acs.analchem.2c02554
Publikováno v:
IEEE Transactions on Emerging Topics in Computing. 10:1799-1809
Long short-term memory (LSTM) applications need fast yet compact models. Neural network compression approaches have been promising for cutting down network complexity by skipping insignificant weights. However, current strategies remain hardware-agno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6695d310d397638f5377c52d13e1a0cb
https://doi.org/10.1109/tetc.2021.3115475
https://doi.org/10.1109/tetc.2021.3115475
Autor:
Guoyang Chen, Hongxia Qi
Publikováno v:
The Routledge Handbook of Volunteering in Events, Sport and Tourism ISBN: 9780367815875
The Routledge Handbook of Volunteering in Events, Sport and Tourism
The Routledge Handbook of Volunteering in Events, Sport and Tourism
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2732380f655258b71e462b03cffbcbec
https://doi.org/10.4324/9780367815875-38
https://doi.org/10.4324/9780367815875-38
Publikováno v:
PACT
Digital processing in-memory (DPIM) provides very low overhead, highly parallel computation in conventional memory, which significantly accelerates data-intensive workloads like deep neural networks (DNNs). DPIM-based DNN accelerators require that da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4a48520688dda828aa675bbd6c569ef
https://doi.org/10.1109/pact52795.2021.00021
https://doi.org/10.1109/pact52795.2021.00021
Publikováno v:
ICS
DNN training consumes orders of magnitude more energy than inference and requires innovative use of accelerators to improve energy-efficiency. However, despite having complementary features, GPUs and FPGAs have been mostly used independently for the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3278a30a097abfe229509bda86d9644e
https://doi.org/10.1145/3447818.3460371
https://doi.org/10.1145/3447818.3460371
Publikováno v:
Harvard Review of Psychiatry. 27:150-164
Frequently implicated in psychotic spectrum disorders, the amygdala serves as an important hub for elucidating the convergent and divergent neural substrates in schizophrenia and bipolar disorder, the two most studied groups of psychotic spectrum con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::287c49d72ce17a950e88c4a39af6955f
https://doi.org/10.1097/hrp.0000000000000207
https://doi.org/10.1097/hrp.0000000000000207
Publikováno v:
ISCA
Image processing is becoming an increasingly important domain for many applications on workstations and the data-center that require accelerators for high performance and energy efficiency. GPU, which is the state-of-the-art accelerator for image pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::486274ffd56516c943f96f7999c55f6d
https://doi.org/10.1109/isca45697.2020.00071
https://doi.org/10.1109/isca45697.2020.00071
Publikováno v:
AAAI
Recently smoothing deep neural network based classifiers via isotropic Gaussian perturbation is shown to be an effective and scalable way to provide state-of-the-art probabilistic robustness guarantee against $\ell_2$ norm bounded adversarial perturb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ac5c4c156c5e7b1c48c2f7291e8ee07