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Ravi Subramaniam
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2020 – today
- 2024
- [j8]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): 174-177 (2024) - [c8]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: 310-314 - 2023
- [j7]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): 149-162 (2023) - [j6]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: 314-327 (2023) - [j5]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): 4657-4670 (2023) - [j4]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): 123:1-123:25 (2023) - [c7]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: 234-239 - [c6]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: 1-6 - [c5]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: 1-2 - 2022
- [j3]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): 8-17 (2022) - [j2]Di Liu, Hao Kong, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam:
Bringing AI to edge: From deep learning's perspective. Neurocomputing 485: 297-320 (2022) - [c4]Hao Kong, Di Liu, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam:
HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs. ASP-DAC 2022: 708-713 - [c3]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: 109:1-109:9 - [c2]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: 627-634 - 2021
- [c1]Shuo Huai, Lei Zhang, Di Liu, Weichen Liu, Ravi Subramaniam:
ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems. DAC 2021: 151-156 - 2020
- [i1]Di Liu, Hao Kong, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam:
Bringing AI To Edge: From Deep Learning's Perspective. CoRR abs/2011.14808 (2020)
2010 – 2019
- 2012
- [j1]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): 136-142 (2012)
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