LIU Weichen

Appointment: Nanyang Assistant Professor

Research topics:
• Embedded and Real-Time Systems
• Many-Core Systems
• Electronic/Photonic Network-on-Chip
• Machine Learning Acceleration
• Computer Architecture

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981 to 990 of 1,026 Results

routing.py Mar 7, 2022 - MARCO: A High-performance Task Mapping and Routing Co-optimization Framework for Point-to-Point NoC-based Heterogeneous Computing Systems Python Source Code - 15.8 KB - MD5: 366daf405076e0e088fa3eaa0786c4e7
Chen Hui (Nanyang Technological University) Mar 7, 2022 Appointment: Research Associate (Former)
ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems Mar 7, 2022 - Huai Shuo Shuo, Huai; Liu, Weichen, 2022, "ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems", https://doi.org/10.21979/N9/IRNJ4I, DR-NTU (Data), V1, UNF:6:+jmG0vdNb5kvT4IJ3OJAeA== [fileUNF] Codes and data for "ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems"
channel_selection.py Mar 7, 2022 - ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems Python Source Code - 1.5 KB - MD5: 0a89db6063b85d2cdaba1bdb34a959df
channel_selection.py Mar 7, 2022 - ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems Python Source Code - 1.7 KB - MD5: 8ad6f4d8ebf4db9b25fd5291f1eb8482
densenet.py Mar 7, 2022 - ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems Python Source Code - 5.3 KB - MD5: 71f48de0859445f7c011c9fb19ad64fe
environment.yml Mar 7, 2022 - ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems Unknown - 5.5 KB - MD5: 6176f807b1de646a7dbcb0d6c816457a
framework.png Mar 7, 2022 - ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems PNG Image - 161.2 KB - MD5: 01cacd9ee02ad43c9447b42739df3989
googlenet.py Mar 7, 2022 - ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems Python Source Code - 12.6 KB - MD5: 85e030ad2668e30ff77f392d071a309b
googlenet_torch.py Mar 7, 2022 - ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems Python Source Code - 9.7 KB - MD5: fbf1077e3face481cef14662dee4d93c

routing.py

Mar 7, 2022 - MARCO: A High-performance Task Mapping and Routing Co-optimization Framework for Point-to-Point NoC-based Heterogeneous Computing Systems

Python Source Code - 15.8 KB -

Chen Hui (Nanyang Technological University)

Mar 7, 2022

Appointment: Research Associate (Former)

ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems

Mar 7, 2022 - Huai Shuo

Shuo, Huai; Liu, Weichen, 2022, "ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems", https://doi.org/10.21979/N9/IRNJ4I, DR-NTU (Data), V1, UNF:6:+jmG0vdNb5kvT4IJ3OJAeA== [fileUNF]

Codes and data for "ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems"

channel_selection.py

Mar 7, 2022 - ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems

Python Source Code - 1.5 KB -

channel_selection.py

Mar 7, 2022 - ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems

Python Source Code - 1.7 KB -

densenet.py

Mar 7, 2022 - ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems

Python Source Code - 5.3 KB -

environment.yml

Mar 7, 2022 - ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems

Unknown - 5.5 KB -

framework.png

Mar 7, 2022 - ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems

PNG Image - 161.2 KB -

googlenet.py

Mar 7, 2022 - ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems

Python Source Code - 12.6 KB -

googlenet_torch.py

Mar 7, 2022 - ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems

Python Source Code - 9.7 KB -

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