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2020 – today
- 2023
[j5]Chongchong Xu, Guo Chen
, Chaojie Li:
Federated learning for interpretable short-term residential load forecasting in edge computing network. Neural Comput. Appl. 35(11): 8561-8574 (2023)- [j4]Jiangxia Zhong, Bin Liu, Xinghuo Yu, Peter Wong, Zeyu Wang, Chongchong Xu, Xiaojun Zhou:
Enhancing Voltage Compliance in Distribution Network Under Cloud and Edge Computing Framework. IEEE Trans. Cloud Comput. 11(2): 1217-1229 (2023) - 2021
- [j3]Chao Wang, Lihui Jin, Lei Gong, Chongchong Xu, Yahui Hu, Luchao Tan, Xuehai Zhou:
Tinker: A Middleware for Deploying Multiple NN-Based Applications on a Single Machine. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(7): 1495-1499 (2021) - 2020
- [c12]Chongchong Xu, Guo Chen, Xiaojun Zhou:
Temporal Pattern Attention-Based Sequence to Sequence model for Multistep Individual Load Forecasting. IECON 2020: 1710-1714
2010 – 2019
- 2019
- [j2]Xiaojun Zhou, Jianpeng Long, Chongchong Xu, Guanbo Jia:
An External Archive-Based Constrained State Transition Algorithm for Optimal Power Dispatch. Complex. 2019: 4727168:1-4727168:11 (2019) - 2018
- [j1]Fan Sun, Chao Wang, Lei Gong, Yiwei Zhang, Chongchong Xu, Yuntao Lu, Xi Li, Xuehai Zhou:
UniCNN: A Pipelined Accelerator Towards Uniformed Computing for CNNs. Int. J. Parallel Program. 46(4): 776-787 (2018) - [c11]Lihui Jin, Chao Wang, Lei Gong, Chongchong Xu, Yahui Hu, Luchao Tan, Xuehai Zhou:
Furion: alleviating overheads for deep learning framework on single machine (work-in-progress). CODES+ISSS 2018: 14 - [c10]Chongchong Xu, Chao Wang, Yiwei Zhang, Lei Gong, Xi Li, Xuehai Zhou:
Domino: An Asynchronous and Energy-efficient Accelerator for Graph Processing: (Abstract Only). FPGA 2018: 289 - [c9]Chongchong Xu, Chao Wang, Lei Gong, Lihui Jin, Xi Li, Xuehai Zhou:
Domino: Graph Processing Services on Energy-Efficient Hardware Accelerator. ICWS 2018: 274-281 - 2017
- [c8]Yuntao Lu, Lei Gong, Chongchong Xu, Fan Sun, Yiwei Zhang, Chao Wang, Xuehai Zhou:
A high-performance FPGA accelerator for sparse neural networks: work-in-progress. CASES 2017: 12:1-12:2 - [c7]Jinhong Zhou, Chongchong Xu, Xianglan Chen, Chao Wang, Xuehai Zhou:
Mermaid: Integrating Vertex-Centric with Edge-Centric for Real-World Graph Processing. CCGrid 2017: 780-783 - [c6]Chongchong Xu, Chao Wang, Lei Gong, Yuntao Lu, Fan Sun, Yiwei Zhang, Xi Li, Xuehai Zhou:
OmniGraph: A Scalable Hardware Accelerator for Graph Processing. CLUSTER 2017: 623-624 - [c5]Yiwei Zhang, Chao Wang, Lei Gong, Yuntao Lu, Fan Sun, Chongchong Xu, Xi Li, Xuehai Zhou:
A Power-Efficient Accelerator Based on FPGAs for LSTM Network. CLUSTER 2017: 629-630 - [c4]Fan Sun, Chao Wang, Lei Gong, Chongchong Xu, Yiwei Zhang, Yuntao Lu, Xi Li, Xuehai Zhou:
A Power-Efficient Accelerator for Convolutional Neural Networks. CLUSTER 2017: 631-632 - [c3]Chongchong Xu, Jinhong Zhou, Yuntao Lu, Fan Sun, Lei Gong, Chao Wang, Xi Li, Xuehai Zhou:
Evaluation and Trade-offs of Graph Processing for Cloud Services. ICWS 2017: 420-427 - [c2]Yiwei Zhang, Chao Wang, Lei Gong, Yuntao Lu, Fan Sun, Chongchong Xu, Xi Li, Xuehai Zhou:
Implementation and Optimization of the Accelerator Based on FPGA Hardware for LSTM Network. ISPA/IUCC 2017: 614-621 - [c1]Fan Sun, Chao Wang, Lei Gong, Chongchong Xu, Yiwei Zhang, Yuntao Lu, Xi Li, Xuehai Zhou:
A High-Performance Accelerator for Large-Scale Convolutional Neural Networks. ISPA/IUCC 2017: 622-629
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