Di Liu

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 19

Top Topics

Convolutional Neural Networks

Previously Unseen

Redundancy Reduction

Top Venues

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

Future Gener. Comput. Syst.

Publications

Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Shiqing Li, Guochu Xiong, Weichen Liu
Pearls Hide Behind Linearity: Simplifying Deep Convolutional Networks for Embedded Hardware Systems via Linearity Grafting. ASPDAC (2024)
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)
Hui Chen, Di Liu, Shiqing Li, Shuo Huai, Xiangzhong Luo, Weichen Liu
MUGNoC: A Software-Configured Multicast-Unicast-Gather NoC for Accelerating CNN Dataflows. ASP-DAC (2023)
Shien Zhu, Luan H. K. Duong, Hui Chen, Di Liu, Weichen Liu
FAT: An In-Memory Accelerator With Fast Addition for Ternary Weight Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (3) (2023)
Ye-Da Ma, Zhi-chao Zhao, Di Liu, Zhenli He, Wei Zhou
OCAP: On-device Class-Aware Pruning for personalized edge DNN models. J. Syst. Archit. 142 (2023)
Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu
LightNAS: On Lightweight and Scalable Neural Architecture Search for Embedded Platforms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (6) (2023)
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)
Shiqing Li, Di Liu, Weichen Liu
Efficient FPGA-Based Sparse Matrix-Vector Multiplication With Data Reuse-Aware Compression. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (12) (2023)
Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu
SurgeNAS: A Comprehensive Surgery on Hardware-Aware Differentiable Neural Architecture Search. IEEE Trans. Computers 72 (4) (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)
Zhenli He, Yanan Xu, Di Liu, Wei Zhou, Keqin Li
Energy-efficient computation offloading strategy with task priority in cloud assisted multi-access edge computing. Future Gener. Comput. Syst. 148 (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)
Zhi-Yuan Zhang, Hao Ren, Zhenli He, Wei Zhou, Di Liu
Improving robustness of convolutional neural networks using element-wise activation scaling. Future Gener. Comput. Syst. 149 (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)
Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu
Work-in-Progress: What to Expect of Early Training Statistics? An Investigation on Hardware-Aware Neural Architecture Search. CODES+ISSS (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)