Hanqing Zeng

Orcid: 0000-0002-2578-2147

According to our database1, Hanqing Zeng authored at least 30 papers between 1999 and 2024.

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Bibliography

2024
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning.
CoRR, 2024

2023
GraphAGILE: An FPGA-Based Overlay Accelerator for Low-Latency GNN Inference.
IEEE Trans. Parallel Distributed Syst., September, 2023

Mixture of Weak & Strong Experts on Graphs.
CoRR, 2023

On the Equivalence of Graph Convolution and Mixup.
CoRR, 2023

LLM-Rec: Personalized Recommendation via Prompting Large Language Models.
CoRR, 2023

An Efficient Distributed Graph Engine for Deep Learning on Graphs.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Generative Graph Dictionary Learning.
Proceedings of the International Conference on Machine Learning, 2023

2022
Low-latency Mini-batch GNN Inference on CPU-FPGA Heterogeneous Platform.
Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

Input Feature Pruning for Accelerating GNN Inference on Heterogeneous Platforms.
Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

DecGNN: A Framework for Mapping Decoupled GNN Models onto CPU-FPGA Heterogeneous Platform.
Proceedings of the FPGA '22: The 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Virtual Event, USA, 27 February 2022, 2022

2021
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning.
Proc. VLDB Endow., 2021

Accurate, efficient and scalable training of Graph Neural Networks.
J. Parallel Distributed Comput., 2021

Decoupling the Depth and Scope of Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
VTR 8: High-performance CAD and Customizable FPGA Architecture Modelling.
ACM Trans. Reconfigurable Technol. Syst., 2020

GraphSAINT: Graph Sampling Based Inductive Learning Method.
Proceedings of the 8th International Conference on Learning Representations, 2020

GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms.
Proceedings of the FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020

Accelerating Large Scale GCN Inference on FPGA.
Proceedings of the 28th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2020

Hardware Acceleration of Large Scale GCN Inference.
Proceedings of the 31st IEEE International Conference on Application-specific Systems, 2020

2019
Accurate, Efficient and Scalable Graph Embedding.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

SPEC2: SPECtral SParsE CNN Accelerator on FPGAs.
Proceedings of the 26th IEEE International Conference on High Performance Computing, 2019

A Flexible Design Automation Tool for Accelerating Quantized Spectral CNNs.
Proceedings of the 29th International Conference on Field Programmable Logic and Applications, 2019

2018
Throughput-Optimized Frequency Domain CNN with Fixed-Point Quantization on FPGA.
Proceedings of the 2018 International Conference on ReConFigurable Computing and FPGAs, 2018

A Fast and Efficient Parallel Algorithm for Pruned Landmark Labeling.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

A Framework for Generating High Throughput CNN Implementations on FPGAs.
Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2018

An FPGA framework for edge-centric graph processing.
Proceedings of the 15th ACM International Conference on Computing Frontiers, 2018

2017
Fast generation of high throughput customized deep learning accelerators on FPGAs.
Proceedings of the International Conference on ReConFigurable Computing and FPGAs, 2017

Design and implementation of parallel PageRank on multicore platforms.
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

Quickly finding a truss in a haystack.
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

2002
Multiobjective control of a four-link flexible manipulator: a robust H<sub>∞</sub> approach.
IEEE Trans. Control. Syst. Technol., 2002

1999
Modeling, identification, and control of a multi-link lightweight manipulator.
PhD thesis, 1999


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