Hanqing Zeng

GraphSAINT: Graph Sampling Based Inductive Learning Method

Hanqing Zeng, 2019 .

Deep Graph Neural Networks with Shallow Subgraph Samplers pdf

Yinglong Xia, Ajitesh Srivastava, Ren Chen, 2020, ArXiv.

Low-latency Mini-batch GNN Inference on CPU-FPGA Heterogeneous Platform

V. Prasanna, Hanqing Zeng, Bingyi Zhang, 2022, ArXiv.

GraphAGILE: An FPGA-based Overlay Accelerator for Low-latency GNN Inference

V. Prasanna, Hanqing Zeng, Bingyi Zhang, 2023, ArXiv.

Accelerating Large Scale Real-Time GNN Inference using Channel Pruning

Rajgopal Kannan, Ajitesh Srivastava, Viktor Prasanna, 2021, Proc. VLDB Endow..

Hardware Acceleration of Large Scale GCN Inference

Viktor Prasanna, Hanqing Zeng, Bingyi Zhang, 2020, 2020 IEEE 31st International Conference on Application-specific Systems, Architectures and Processors (ASAP).

Low-latency Mini-batch GNN Inference on CPU-FPGA Heterogeneous Platform

V. Prasanna, Hanqing Zeng, Bingyi Zhang, 2022, 2022 IEEE 29th International Conference on High Performance Computing, Data, and Analytics (HiPC).

Generative Graph Dictionary Learning

Yinglong Xia, Hanqing Zeng, H. Tong, 2023, ICML.

GraphAGILE: An FPGA-Based Overlay Accelerator for Low-Latency GNN Inference

V. Prasanna, Hanqing Zeng, Bingyi Zhang, 2023, IEEE Transactions on Parallel and Distributed Systems.

LLM-Rec: Personalized Recommendation via Prompting Large Language Models

Yinglong Xia, Hanjia Lyu, Hanqing Zeng, 2023, ArXiv.

Accelerating Large Scale GCN Inference on FPGA

Viktor Prasanna, Hanqing Zeng, Bingyi Zhang, 2020, 2020 IEEE 28th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM).