Ravi Subramaniam

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 16

Top Topics

Visual Inspection

Redundancy Reduction

Top Venues

ACM Trans. Embed. Comput. Syst.

Publications

Vikash Sathiamoorthy, Shuo Huai, Hao Kong, Di Liu, Wendy Yong Yi Loy, Christian Makaya, Daren Ho, Ravi Subramaniam, Qian Lin, Weichen Liu
FedTR: Federated Learning Framework with Transfer Learning for Industrial Visual Inspection. ACM Great Lakes Symposium on VLSI (2024)
Shuo Huai, Hao Kong, Shiqing Li, Xiangzhong Luo, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu
EvoLP: Self-Evolving Latency Predictor for Model Compression in Real-Time Edge Systems. IEEE Embed. Syst. Lett. 16 (2) (2024)
Shuo Huai, Di Liu, Xiangzhong Luo, Hui Chen, Weichen Liu, Ravi Subramaniam
Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient in-Memory Acceleration. ASP-DAC (2023)
Hao Kong, Xiangzhong Luo, Shuo Huai, Di Liu, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu
EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI. DATE (2023)
Shuo Huai, Hao Kong, Xiangzhong Luo, Shiqing Li, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu
CRIMP: Compact & Reliable DNN Inference on In-Memory Processing via Crossbar-Aligned Compression and Non-ideality Adaptation. ACM Trans. Embed. Comput. Syst. 22 (5s) (2023)
Shuo Huai, Di Liu, Hao Kong, Weichen Liu, Ravi Subramaniam, Christian Makaya, Qian Lin
Latency-constrained DNN architecture learning for edge systems using zerorized batch normalization. Future Gener. Comput. Syst. 142 (2023)
Shuo Huai, Hao Kong, Xiangzhong Luo, Di Liu, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu
On Hardware-Aware Design and Optimization of Edge Intelligence. IEEE Des. Test 40 (6) (2023)
Hao Kong, Di Liu, Shuo Huai, Xiangzhong Luo, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu
EdgeCompress: Coupling Multidimensional Model Compression and Dynamic Inference for EdgeAI. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (12) (2023)
Hao Kong, Di Liu, Xiangzhong Luo, Shuo Huai, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu
Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning. DAC (2023)
Hao Kong, Di Liu, Shuo Huai, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam, Christian Makaya, Qian Lin
Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware. ICCAD (2022)
Hao Kong, Shuo Huai, Di Liu, Lei Zhang, Hui Chen, Shien Zhu, Shiqing Li, Weichen Liu, Manu Rastogi, Ravi Subramaniam, Madhu Athreya, M. Anthony Lewis
EDLAB: A Benchmark for Edge Deep Learning Accelerators. IEEE Des. Test 39 (3) (2022)
Shuo Huai, Di Liu, Hao Kong, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam, Christian Makaya, Qian Lin
Collate: Collaborative Neural Network Learning for Latency-Critical Edge Systems. ICCD (2022)
Hao Kong, Di Liu, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam
HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs. ASP-DAC (2022)
Di Liu, Hao Kong, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam
Bringing AI to edge: From deep learning's perspective. Neurocomputing 485 (2022)
Shuo Huai, Lei Zhang, Di Liu, Weichen Liu, Ravi Subramaniam
ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems. DAC (2021)
Di Liu, Hao Kong, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam
Bringing AI To Edge: From Deep Learning's Perspective. CoRR (2020)
Lowell D. Lamb, Yang Lu, Qian Liu, Ravi Subramaniam, Toshihiko Kusano, Masashi Tadokoro, Motoyuki Takizawa
SIEPON conformance testing and certification. IEEE Commun. Mag. 50 (9) (2012)