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2020 – today
- 2024
[j4]Runhua Zhang
, Hongxu Jiang, Jinkun Geng, Fangzheng Tian, Yuhang Ma, Haojie Wang:
A high-performance dataflow-centric optimization framework for deep learning inference on the edge. J. Syst. Archit. 152: 103180 (2024)- [j3]Qiang Wang, Tao Cheng, Yijun Lu, Haichuan Liu, Runhua Zhang, Jiandong Huang:
Underground Mine Safety and Health: A Hybrid MEREC-CoCoSo System for the Selection of Best Sensor. Sensors 24(4): 1285 (2024) - 2023
- [j2]Yonghua Zhang, Hongxu Jiang, Yuting Zhu, Runhua Zhang, Yongxiang Cao, Chenhui Zhu, Wei Wang, Dong Dong, Xiaobin Li:
LOCP: Latency-optimized channel pruning for CNN inference acceleration on GPUs. J. Supercomput. 79(13): 14313-14341 (2023) - [c11]Runhua Zhang, Hongxu Jiang, Fangzheng Tian, Jinkun Geng, Xiaobin Li, Yuhang Ma, Chenhui Zhu, Dong Dong, Xin Li, Haojie Wang:
Xenos : Dataflow-Centric Optimization to Accelerate Model Inference on Edge Devices. DASFAA (1) 2023: 535-545 - [c10]Yueyao Zhang, Nianchong Qu, Runhua Zhang, Ye Tao, Guanyun Wang, Qi Wang:
LayTex: A Design Tool for Generating Customized Textile Sensor Layouts in Wearable Computing. UbiComp/ISWC Adjunct 2023: 63-67 - [c9]Runhua Zhang, Yuanda Hu, Yuxuan He, Shiwen Fang, Bin Yu, Xiaohua Sun, Qi Wang:
A Tailored Textile Sensor-based Wrap for Shoulder Complex Angles Monitoring. UbiComp/ISWC Adjunct 2023: 137-141 - [c8]Runhua Zhang, Baozhong Zhu, Tengsheng Jiang, Zhiming Cui, Hongjie Wu:
Deep Learning-Based Prediction of Drug-Target Binding Affinities by Incorporating Local Structure of Protein. ICIC (3) 2023: 666-675 - [c7]Baozhong Zhu, Runhua Zhang, Tengsheng Jiang, Zhiming Cui, Hongjie Wu:
Drug-Target Interaction Prediction Based on Interpretable Graph Transformer Model. ICIC (3) 2023: 676-686 - [c6]Qi Wang, Yuan Zeng, Runhua Zhang, Nianding Ye, Linghao Zhu, Xiaohua Sun, Teng Han:
EmTex: Prototyping Textile-Based Interfaces through An Embroidered Construction Kit. UIST 2023: 20:1-20:17 - [i1]Runhua Zhang, Hongxu Jiang, Fangzheng Tian, Jinkun Geng, Xiaobin Li, Yuhang Ma, Chenhui Zhu, Dong Dong, Xin Li, Haojie Wang:
Xenos: Dataflow-Centric Optimization to Accelerate Model Inference on Edge Devices. CoRR abs/2302.00282 (2023) - 2022
- [c5]Yuting Zhu, Hongxu Jiang, Runhua Zhang, Yonghua Zhang, Dong Dong:
CNNBooster: Accelerating CNN Inference with Latency-aware Channel Pruning for GPU. ISPA/BDCloud/SocialCom/SustainCom 2022: 355-362 - 2021
- [j1]Xiaobin Li, Hongxu Jiang, Runhua Zhang, Fangzheng Tian, Shuangxi Huang, Donghuan Xu:
Robustness-aware 2-bit quantization with real-time performance for neural network. Neurocomputing 455: 12-22 (2021) - [c4]Xiaobin Li, Hongxu Jiang, Shuangxi Huang, Fangzheng Tian, Runhua Zhang, Dong Dong:
SRQ: Self-Reference quantization scheme for lightweight neural network. DCC 2021: 349 - 2020
- [c3]Runhua Zhang, Guowei Shen, Liangyi Gong, Chun Guo:
DSANA: A distributed machine learning acceleration solution based on dynamic scheduling and network acceleration. HPCC/DSS/SmartCity 2020: 302-311 - [c2]Runhua Zhang, Alan L. Cox, Scott Rixner:
Virtflex: Automatic Adaptation to NUMA Topology Change for OpenMP Applications. IWOMP 2020: 212-227
2010 – 2019
- 2019
- [c1]Runhua Zhang, Yang Cheng, Jinkun Geng, Shuai Wang, Kaihui Gao, Guowei Shen:
HiPower: A High-Performance RDMA Acceleration Solution for Distributed Transaction Processing. NPC 2019: 209-221
Coauthor Index
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