Hanqing Zeng

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 40

Top Venues

Ruhr University Bochum, Germany (PHD)

Education History

Ruhr University Bochum, Germany

PHD

Publications

Gangda Deng, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Christopher Leung, Jianbo Li, Rajgopal Kannan, Viktor K. Prasanna
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning. IPDPS (2024)
Gangda Deng, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Christopher Leung, Jianbo Li, Rajgopal Kannan, Viktor K. Prasanna
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning. CoRR (2024)
Hanqing Zeng, Hanjia Lyu, Diyi Hu, Yinglong Xia, Jiebo Luo
Mixture of Weak and Strong Experts on Graphs. ICLR (2024)
Bingyi Zhang, Hanqing Zeng, Viktor K. Prasanna
GraphAGILE: An FPGA-based Overlay Accelerator for Low-latency GNN Inference. CoRR (2023)
Zhichen Zeng, Ruike Zhu, Yinglong Xia, Hanqing Zeng, Hanghang Tong
Generative Graph Dictionary Learning. ICML (2023)
Bingyi Zhang, Hanqing Zeng, Viktor K. Prasanna
GraphAGILE: An FPGA-Based Overlay Accelerator for Low-Latency GNN Inference. IEEE Trans. Parallel Distributed Syst. 34 (9) (2023)
Hanjia Lyu, Song Jiang, Hanqing Zeng, Yinglong Xia, Jiebo Luo
LLM-Rec: Personalized Recommendation via Prompting Large Language Models. CoRR (2023)
Hanqing Zeng, Hanjia Lyu, Diyi Hu, Yinglong Xia, Jiebo Luo
Mixture of Weak & Strong Experts on Graphs. CoRR (2023)
Gangda Deng, Ömer Faruk Akgül, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Jianbo Li, Viktor K. Prasanna
An Efficient Distributed Graph Engine for Deep Learning on Graphs. SC Workshops (2023)
Xiaotian Han, Hanqing Zeng, Yu Chen, Shaoliang Nie, Jingzhou Liu, Kanika Narang, Zahra Shakeri, Karthik Abinav Sankararaman, Song Jiang, Madian Khabsa, Qifan Wang, Xia Hu
On the Equivalence of Graph Convolution and Mixup. CoRR (2023)
Jason Yik, Sanmukh R. Kuppannagari, Hanqing Zeng, Viktor K. Prasanna
Input Feature Pruning for Accelerating GNN Inference on Heterogeneous Platforms. HIPC (2022)
Bingyi Zhang, Hanqing Zeng, Viktor K. Prasanna
Low-latency Mini-batch GNN Inference on CPU-FPGA Heterogeneous Platform. HIPC (2022)
Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor K. Prasanna, Long Jin, Ren Chen
Decoupling the Depth and Scope of Graph Neural Networks. CoRR (2022)
Bingyi Zhang, Hanqing Zeng, Viktor K. Prasanna
Low-latency Mini-batch GNN Inference on CPU-FPGA Heterogeneous Platform. CoRR (2022)
Bingyi Zhang, Hanqing Zeng, Viktor K. Prasanna
DecGNN: A Framework for Mapping Decoupled GNN Models onto CPU-FPGA Heterogeneous Platform. FPGA (2022)
Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
Accurate, efficient and scalable training of Graph Neural Networks. J. Parallel Distributed Comput. 147 (2021)
Hongkuan Zhou, Ajitesh Srivastava, Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning. Proc. VLDB Endow. 14 (9) (2021)
Hongkuan Zhou, Ajitesh Srivastava, Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning. CoRR (2021)
Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor K. Prasanna, Long Jin, Ren Chen
Decoupling the Depth and Scope of Graph Neural Networks. NeurIPS (2021)
Hanqing Zeng, Viktor K. Prasanna
GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms. CoRR (2020)
Kevin E. Murray, Oleg Petelin, Sheng Zhong, Jia Min Wang, Mohamed Eldafrawy, Jean-Philippe Legault, Eugene Sha, Aaron Graham, Jean Wu, Matthew J. P. Walker, Hanqing Zeng, Panagiotis Patros, Jason Luu, Kenneth B. Kent, Vaughn Betz
VTR 8: High-performance CAD and Customizable FPGA Architecture Modelling. ACM Trans. Reconfigurable Technol. Syst. 13 (2) (2020)
Bingyi Zhang, Hanqing Zeng, Viktor K. Prasanna
Hardware Acceleration of Large Scale GCN Inference. ASAP (2020)
Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna, Long Jin, Andrey Malevich, Ren Chen
Deep Graph Neural Networks with Shallow Subgraph Samplers. CoRR (2020)
Bingyi Zhang, Hanqing Zeng, Viktor K. Prasanna
Accelerating Large Scale GCN Inference on FPGA. FCCM (2020)
Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
GraphSAINT: Graph Sampling Based Inductive Learning Method. ICLR (2020)
Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
Accurate, Efficient and Scalable Training of Graph Neural Networks. CoRR (2020)
Hanqing Zeng, Viktor K. Prasanna
GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms. FPGA (2020)
Rachit Rajat, Hanqing Zeng, Viktor K. Prasanna
A Flexible Design Automation Tool for Accelerating Quantized Spectral CNNs. FPL (2019)
Yue Niu, Hanqing Zeng, Ajitesh Srivastava, Kartik Lakhotia, Rajgopal Kannan, Yanzhi Wang, Viktor K. Prasanna
SPEC2: SPECtral SParsE CNN Accelerator on FPGAs. HiPC (2019)
Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
Accurate, Efficient and Scalable Graph Embedding. IPDPS (2019)
Yue Niu, Hanqing Zeng, Ajitesh Srivastava, Kartik Lakhotia, Rajgopal Kannan, Yanzhi Wang, Viktor K. Prasanna
SPEC2: SPECtral SParsE CNN Accelerator on FPGAs. CoRR (2019)
Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
GraphSAINT: Graph Sampling Based Inductive Learning Method. CoRR (2019)
Weiyi Sun, Hanqing Zeng, Yi-Hua Edward Yang, Viktor K. Prasanna
Throughput-Optimized Frequency Domain CNN with Fixed-Point Quantization on FPGA. ReConFig (2018)
Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
Accurate, Efficient and Scalable Graph Embedding. CoRR (2018)
Shijie Zhou, Rajgopal Kannan, Hanqing Zeng, Viktor K. Prasanna
An FPGA framework for edge-centric graph processing. CF (2018)
Hanqing Zeng, Ren Chen, Chi Zhang, Viktor K. Prasanna
A Framework for Generating High Throughput CNN Implementations on FPGAs. FPGA (2018)
Qing Dong, Kartik Lakhotia, Hanqing Zeng, Rajgopal Karman, Viktor K. Prasanna, Guna Seetharaman
A Fast and Efficient Parallel Algorithm for Pruned Landmark Labeling. HPEC (2018)
Oded Green, James Fox, Euna Kim, Federico Busato, Nicola Bombieri, Kartik Lakhotia, Shijie Zhou, Shreyas G. Singapura, Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna, David A. Bader
Quickly finding a truss in a haystack. HPEC (2017)
Hanqing Zeng, Chi Zhang, Viktor K. Prasanna
Fast generation of high throughput customized deep learning accelerators on FPGAs. ReConFig (2017)
Shijie Zhou, Kartik Lakhotia, Shreyas G. Singapura, Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna, James Fox, Euna Kim, Oded Green, David A. Bader
Design and implementation of parallel PageRank on multicore platforms. HPEC (2017)
Zidong Wang, Hanqing Zeng, Daniel W. C. Ho, Heinz Unbehauen
approach. IEEE Trans. Control. Syst. Technol. 10 (6) (2002)

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Publication Activity (10 Years)

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Hanqing Zeng