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Hanqing Zeng
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2020 – today
- 2024
- [c23]Hanqing Zeng, Hanjia Lyu, Diyi Hu, Yinglong Xia, Jiebo Luo:
Mixture of Weak and Strong Experts on Graphs. ICLR 2024 - [c22]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: 926-937 - [c21]Hanjia Lyu, Song Jiang, Hanqing Zeng, Yinglong Xia, Qifan Wang, Si Zhang, Ren Chen, Christopher Leung, Jiajie Tang, Jiebo Luo:
LLM-Rec: Personalized Recommendation via Prompting Large Language Models. NAACL-HLT (Findings) 2024: 583-612 - [i15]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 abs/2402.05396 (2024) - [i14]Hanjia Lyu, Hanqing Zeng, Yinglong Xia, Ren Chen, Jiebo Luo:
Retrieval Augmentation via User Interest Clustering. CoRR abs/2408.03886 (2024) - [i13]Zhe Xu, Kaveh Hassani, Si Zhang, Hanqing Zeng, Michihiro Yasunaga, Limei Wang, Dongqi Fu, Ning Yao, Bo Long, Hanghang Tong:
Language Models are Graph Learners. CoRR abs/2410.02296 (2024) - 2023
- [j5]Bingyi Zhang
, Hanqing Zeng
GraphAGILE: An FPGA-Based Overlay Accelerator for Low-Latency GNN Inference. IEEE Trans. Parallel Distributed Syst. 34(9): 2580-2597 (2023) - [c20]Zhichen Zeng, Ruike Zhu, Yinglong Xia, Hanqing Zeng, Hanghang Tong:
Generative Graph Dictionary Learning. ICML 2023: 40749-40769 - [c19]Gangda Deng
An Efficient Distributed Graph Engine for Deep Learning on Graphs. SC Workshops 2023: 922-931 - [i12]Bingyi Zhang, Hanqing Zeng, Viktor K. Prasanna:
GraphAGILE: An FPGA-based Overlay Accelerator for Low-latency GNN Inference. CoRR abs/2302.01769 (2023) - [i11]Hanjia Lyu
LLM-Rec: Personalized Recommendation via Prompting Large Language Models. CoRR abs/2307.15780 (2023) - [i10]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 abs/2310.00183 (2023) - [i9]Hanqing Zeng, Hanjia Lyu, Diyi Hu, Yinglong Xia, Jiebo Luo
Mixture of Weak & Strong Experts on Graphs. CoRR abs/2311.05185 (2023) - 2022
- [c18]Bingyi Zhang, Hanqing Zeng, Viktor K. Prasanna:
DecGNN: A Framework for Mapping Decoupled GNN Models onto CPU-FPGA Heterogeneous Platform. FPGA 2022: 154 - [c17]Bingyi Zhang, Hanqing Zeng, Viktor K. Prasanna:
Low-latency Mini-batch GNN Inference on CPU-FPGA Heterogeneous Platform. HIPC 2022: 11-21 - [c16]Jason Yik, Sanmukh R. Kuppannagari, Hanqing Zeng, Viktor K. Prasanna:
Input Feature Pruning for Accelerating GNN Inference on Heterogeneous Platforms. HIPC 2022: 282-291 - [i8]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 abs/2201.07858 (2022) - [i7]Bingyi Zhang, Hanqing Zeng, Viktor K. Prasanna:
Low-latency Mini-batch GNN Inference on CPU-FPGA Heterogeneous Platform. CoRR abs/2206.08536 (2022) - 2021
- [j4]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: 166-183 (2021) - [j3]Hongkuan Zhou, Ajitesh Srivastava, Hanqing Zeng
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning. Proc. VLDB Endow. 14(9): 1597-1605 (2021) - [c15]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: 19665-19679 - [i6]Hongkuan Zhou, Ajitesh Srivastava, Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna:
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning. CoRR abs/2105.04528 (2021) - 2020
- [j2]Kevin E. Murray
VTR 8: High-performance CAD and Customizable FPGA Architecture Modelling. ACM Trans. Reconfigurable Technol. Syst. 13(2): 9:1-9:55 (2020) - [c14]Bingyi Zhang, Hanqing Zeng, Viktor K. Prasanna:
Hardware Acceleration of Large Scale GCN Inference. ASAP 2020: 61-68 - [c13]Bingyi Zhang, Hanqing Zeng, Viktor K. Prasanna:
Accelerating Large Scale GCN Inference on FPGA. FCCM 2020: 241 - [c12]Hanqing Zeng
GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms. FPGA 2020: 255-265 - [c11]Hanqing Zeng
GraphSAINT: Graph Sampling Based Inductive Learning Method. ICLR 2020 - [i5]Hanqing Zeng, Viktor K. Prasanna:
GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms. CoRR abs/2001.02498 (2020) - [i4]Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
Accurate, Efficient and Scalable Training of Graph Neural Networks. CoRR abs/2010.03166 (2020)
2010 – 2019
- 2019
- [c10]Rachit Rajat, Hanqing Zeng, Viktor K. Prasanna:
A Flexible Design Automation Tool for Accelerating Quantized Spectral CNNs. FPL 2019: 144-150 - [c9]Yue Niu, Hanqing Zeng, Ajitesh Srivastava, Kartik Lakhotia, Rajgopal Kannan, Yanzhi Wang, Viktor K. Prasanna:
SPEC2: SPECtral SParsE CNN Accelerator on FPGAs. HiPC 2019: 195-204 - [c8]Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
Accurate, Efficient and Scalable Graph Embedding. IPDPS 2019: 462-471 - [i3]Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
GraphSAINT: Graph Sampling Based Inductive Learning Method. CoRR abs/1907.04931 (2019) - [i2]Yue Niu, Hanqing Zeng, Ajitesh Srivastava, Kartik Lakhotia, Rajgopal Kannan, Yanzhi Wang, Viktor K. Prasanna:
SPEC2: SPECtral SParsE CNN Accelerator on FPGAs. CoRR abs/1910.11103 (2019) - 2018
- [c7]Shijie Zhou, Rajgopal Kannan, Hanqing Zeng, Viktor K. Prasanna:
An FPGA framework for edge-centric graph processing. CF 2018: 69-77 - [c6]Hanqing Zeng
A Framework for Generating High Throughput CNN Implementations on FPGAs. FPGA 2018: 117-126 - [c5]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: 1-7 - [c4]Weiyi Sun, Hanqing Zeng, Yi-Hua Edward Yang, Viktor K. Prasanna:
Throughput-Optimized Frequency Domain CNN with Fixed-Point Quantization on FPGA. ReConFig 2018: 1-8 - [i1]Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
Accurate, Efficient and Scalable Graph Embedding. CoRR abs/1810.11899 (2018) - 2017
- [c3]Oded Green, James Fox, Euna Kim, Federico Busato, Nicola Bombieri, Kartik Lakhotia, Shijie Zhou, Shreyas G. Singapura, Hanqing Zeng
Quickly finding a truss in a haystack. HPEC 2017: 1-7 - [c2]Shijie Zhou, Kartik Lakhotia, Shreyas G. Singapura, Hanqing Zeng
Design and implementation of parallel PageRank on multicore platforms. HPEC 2017: 1-6 - [c1]Hanqing Zeng
Fast generation of high throughput customized deep learning accelerators on FPGAs. ReConFig 2017: 1-8
2000 – 2009
- 2002
- [j1]Zidong Wang
Multiobjective control of a four-link flexible manipulator: a robust H∞ approach. IEEE Trans. Control. Syst. Technol. 10(6): 866-875 (2002)
1990 – 1999
- 1999
- [b1]Hanqing Zeng:
Modeling, identification, and control of a multi-link lightweight manipulator. Ruhr University Bochum, Germany, Cuvillier 1999, ISBN 978-3-89712-746-3, pp. 1-118
Coauthor Index
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