Hanqing Zeng
Hanqing Zeng
PhD candidate of Computer Engineering, University of Southern California
Verified email at usc.edu - Homepage
Cited by
Cited by
GraphSAINT: Graph Sampling Based Inductive Learning Method
H Zeng, H Zhou, A Srivastava, R Kannan, V Prasanna
International Conference on Learning Representations (ICLR), 2020
A framework for generating high throughput CNN implementations on FPGAs
H Zeng, R Chen, C Zhang, V Prasanna
Proceedings of the 2018 ACM/SIGDA International Symposium on Field …, 2018
Vtr 8: High-performance cad and customizable fpga architecture modelling
KE Murray, O Petelin, S Zhong, JM Wang, M Eldafrawy, JP Legault, E Sha, ...
ACM Transactions on Reconfigurable Technology and Systems (TRETS) 13 (2), 1-55, 2020
An FPGA framework for edge-centric graph processing
S Zhou, R Kannan, H Zeng, VK Prasanna
Proceedings of the 15th ACM International Conference on Computing Frontiers …, 2018
Accurate, efficient and scalable graph embedding
H Zeng, H Zhou, A Srivastava, R Kannan, V Prasanna
2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2019
Quickly finding a truss in a haystack
O Green, J Fox, E Kim, F Busato, N Bombieri, K Lakhotia, S Zhou, ...
2017 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2017
Graphact: Accelerating gcn training on cpu-fpga heterogeneous platforms
H Zeng, V Prasanna
Proceedings of the 2020 ACM/SIGDA International Symposium on Field …, 2020
Fast Generation of High Throughput Customized Deep Learning Accelerators on FPGAs
H Zeng, C Zhang, V Prasanna
ReConFigurable Computing and FPGAs (ReConFig), 2017 International Conference …, 2017
Design and implementation of parallel pagerank on multicore platforms
S Zhou, K Lakhotia, SG Singapura, H Zeng, R Kannan, VK Prasanna, ...
2017 IEEE High Performance Extreme Computing Conference (HPEC), 1-6, 2017
A fast and efficient parallel algorithm for pruned landmark labeling
Q Dong, K Lakhotia, H Zeng, R Karman, V Prasanna, G Seetharaman
2018 IEEE High Performance extreme Computing Conference (HPEC), 1-7, 2018
Optimizing frequency domain implementation of CNNs on FPGAs
H Zeng, R Chen, VK Prasanna
University of Southern California, Tech. Rep, 2017
Throughput-optimized frequency domain cnn with fixed-point quantization on fpga
W Sun, H Zeng, YE Yang, V Prasanna
2018 International Conference on ReConFigurable Computing and FPGAs …, 2018
Hardware Acceleration of Large Scale GCN Inference
B Zhang, H Zeng, V Prasanna
2020 IEEE 31st International Conference on Application-specific Systems …, 2020
A flexible design automation tool for accelerating quantized spectral CNNs
R Rajat, H Zeng, V Prasanna
2019 29th International Conference on Field Programmable Logic and …, 2019
Accelerating large scale GCN inference on FPGA
B Zhang, H Zeng, V Prasanna
2020 IEEE 28th Annual International Symposium on Field-Programmable Custom …, 2020
SPEC2: SPECtral SParsE CNN Accelerator on FPGAs
Y Niu, H Zeng, A Srivastava, K Lakhotia, R Kannan, Y Wang, V Prasanna
2019 IEEE 26th International Conference on High Performance Computing, Data …, 2019
Accurate, efficient and scalable training of Graph Neural Networks
H Zeng, H Zhou, A Srivastava, R Kannan, V Prasanna
Journal of Parallel and Distributed Computing 147, 166-183, 2021
Deep Graph Neural Networks with Shallow Subgraph Samplers
H Zeng, M Zhang, Y Xia, A Srivastava, A Malevich, R Kannan, V Prasanna, ...
arXiv preprint arXiv:2012.01380, 2020
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