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Ravi Subramaniam

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

7

Venues

5

Active years

2021–2023

Best venue rank

A*

Where they publish

Papers

7 indexed papers, newest first.

YearVenueTitleAuthors
2023ASPDACCrossbar-Aligned & Integer-Only Neural Network Compression for Efficient in-Memory Acceleration.Shuo Huai, Di Liu, Xiangzhong Luo, Hui Chen, Weichen Liu, Ravi Subramaniam
2023DACTowards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning.Hao Kong, Di Liu, Xiangzhong Luo, Shuo Huai, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu
2023DATEEMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI.Hao Kong, Xiangzhong Luo, Shuo Huai, Di Liu, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu
2022ASPDACHACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs.Hao Kong, Di Liu, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam
2022ICCADSmart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware.Hao Kong, Di Liu, Shuo Huai, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam, Christian Makaya, Qian Lin
2022ICCDCollate: Collaborative Neural Network Learning for Latency-Critical Edge Systems.Shuo Huai, Di Liu, Hao Kong, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam, Christian Makaya, Qian Lin
2021DACZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems.Shuo Huai, Lei Zhang, Di Liu, Weichen Liu, Ravi Subramaniam