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Chang Kong
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2020 – today
- 2023
- [j1]Chang Kong
, Haitao Wang, Qiuming Luo, Rui Mao, Guoliang Chen:
Deep Multi-Input Multi-Stream Ordinal Model for age estimation: Based on spatial attention learning. Future Gener. Comput. Syst. 140: 173-184 (2023) - 2022
- [c11]Chang Kong
Learning Deep Contrastive Network for Facial Age Estimation. IJCNN 2022: 1-7 - 2021
- [c10]Chang Kong
RSFAD: A Large-Scale Real Scenario Face Age Dataset in the wild. FG 2021: 1-7 - [c9]Shihao Sha, Zhiwei Wen, Xiaohui Lin, Qiuming Luo, Chang Kong
Fisheye Image Calibration and Super-Resolution Method Based On Deep Learning. ICIGP 2021: 102-108 - [c8]Chang Kong
A comparison study: the impact of age and gender distribution on age estimation. MMAsia 2021: 46:1-46:5
2010 – 2019
- 2014
- [c7]Qiuming Luo, Yuanyuan Zhou, Chang Kong, Mei Wang, Ye Cai:
Optimization of Uncore Data Flow on NUMA Platform. NPC 2014: 72-83 - [c6]Qiuming Luo, Chang Kong, Yuanyuan Zhou, Guoqiang Liu, Chengjian Liu:
Understanding the Data Traffic of Uncore in Westmere NUMA Architecture. PDP 2014: 392-399 - 2013
- [c5]Qiuming Luo, Yuanyuan Zhou, Chang Kong, Guoqiang Liu, Ye Cai, Xiaohui Lin:
Analyzing the Characteristics of Memory Subsystem on Two Different 8-Way NUMA Architectures. NPC 2013: 155-166 - 2012
- [c4]Qiuming Luo, Chengjian Liu, Chang Kong, Ye Cai:
MAP-numa: Access Patterns Used to Characterize the NUMA Memory Access Optimization Techniques and Algorithms. NPC 2012: 208-216 - [c3]Qiuming Luo, Chengjian Liu, Chang Kong, Ye Cai:
Quantitatively Measuring the Memory Locality Leakage on NUMA Systems Based on Instruction-Based-Sampling. PDCAT 2012: 251-256 - 2011
- [c2]Qiuming Luo, Ye Cai, Chengjian Liu, Chang Kong:
The Design and Implementation of OMPit: An OpenMP Compiler Characterized by Logs for Parallel and Work-Sharing. PAAP 2011: 350-355 - [c1]Qiuming Luo, Chang Kong, Ye Cai, Gang Liu:
Performance Evaluation of OpenMP Constructs and Kernel Benchmarks on a Loongson-3A Quad-Core SMP System. PDCAT 2011: 191-196
Coauthor Index
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