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2020 – today
- 2024
[j7]Qian Xu, Juan Yang, Feng Zhang, Zheng Chen, Jiawei Guan, Kang Chen, Ju Fan, Youren Shen, Ke Yang, Yu Zhang, Xiaoyong Du:
Improving Graph Compression for Efficient Resource-Constrained Graph Analytics. Proc. VLDB Endow. 17(9): 2212-2226 (2024)- [j6]Jiawei Guan, Feng Zhang, Yuxin Tang, Weitang Ye, Xiaoyong Du:
HocoPG: A Database System with Homomorphic Compression for Text Processing. Proc. VLDB Endow. 17(12): 4477-4480 (2024) - [j5]Jiesong Liu
, Feng Zhang, Jiawei Guan, Hsin-Hsuan Sung, Xiaoguang Guo, Saiqin Long, Xiaoyong Du, Xipeng Shen:
Enabling Efficient Deep Learning on MCU With Transient Redundancy Elimination. IEEE Trans. Computers 73(12): 2649-2663 (2024) - 2023
- [j4]Zheng Chen, Feng Zhang, Jiawei Guan, Jidong Zhai, Xipeng Shen, Huanchen Zhang, Wentong Shu, Xiaoyong Du:
CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression. Proc. ACM Manag. Data 1(1): 4:1-4:31 (2023) - [j3]Jiawei Guan, Feng Zhang, Siqi Ma, Kuangyu Chen, Yihua Hu, Yuxing Chen, Anqun Pan, Xiaoyong Du:
Homomorphic Compression: Making Text Processing on Compression Unlimited. Proc. ACM Manag. Data 1(4): 271:1-271:28 (2023) - [j2]Feng Zhang, Ruofan Wu, Jiawei Guan, Zhen Zheng, Xiaoguang Guo, Xiao Zhang, Xiaoyong Du, Xipeng Shen:
Expanding the Edge: Enabling Efficient Winograd CNN Inference With Deep Reuse on Edge Device. IEEE Trans. Knowl. Data Eng. 35(10): 10181-10196 (2023) - [c3]Jiesong Liu, Feng Zhang, Jiawei Guan, Hsin-Hsuan Sung, Xiaoguang Guo, Xiaoyong Du, Xipeng Shen:
Space-Efficient TREC for Enabling Deep Learning on Microcontrollers. ASPLOS (3) 2023: 644-659 - 2022
- [c2]Jiawei Guan, Feng Zhang, Jiesong Liu, Hsin-Hsuan Sung, Ruofan Wu, Xiaoyong Du, Xipeng Shen:
TREC: Transient Redundancy Elimination-based Convolution. NeurIPS 2022 - [c1]Ruofan Wu, Feng Zhang, Jiawei Guan, Zhen Zheng, Xiaoyong Du, Xipeng Shen:
DREW: Efficient Winograd CNN Inference with Deep Reuse. WWW 2022: 1807-1816 - 2020
- [j1]Zhijie Wen, Jiawei Guan, Tieyong Zeng, Ying Li:
Residual network with detail perception loss for single image super-resolution. Comput. Vis. Image Underst. 199: 103007 (2020)
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