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ORCIDZhongyuan Wu
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2020 – today
- 2024
[c8]Houxing Ren, Mingjie Zhan, Zhongyuan Wu, Hongsheng Li:
Empowering Character-level Text Infilling by Eliminating Sub-Tokens. ACL (1) 2024: 3253-3267- [i4]Houxing Ren, Mingjie Zhan, Zhongyuan Wu, Aojun Zhou, Junting Pan, Hongsheng Li:
ReflectionCoder: Learning from Reflection Sequence for Enhanced One-off Code Generation. CoRR abs/2405.17057 (2024) - [i3]Houxing Ren, Mingjie Zhan, Zhongyuan Wu, Hongsheng Li:
Empowering Character-level Text Infilling by Eliminating Sub-Tokens. CoRR abs/2405.17103 (2024) - 2022
- [j7]Ying Shi, Jun Sang
, Zhongyuan Wu, Fusen Wang, Xinyue Liu, Xiaofeng Xia, Nong Sang:
MGSNet: A multi-scale and gated spatial attention network for crowd counting. Appl. Intell. 52(13): 15436-15446 (2022) - [j6]Na Gong, Chunlei Zhang, Heng Zhou, Kai Zhang, Zhongyuan Wu, Xin Zhang:
Classification of hyperspectral images via improved cycle-MLP. IET Comput. Vis. 16(5): 468-478 (2022) - [j5]Fusen Wang, Jun Sang, Zhongyuan Wu, Qi Liu, Nong Sang:
Hybrid attention network based on progressive embedding scale-context for crowd counting. Inf. Sci. 591: 306-318 (2022) - [j4]Li Yang, Yanqun Guo, Jun Sang, Weiqun Wu, Zhongyuan Wu, Qi Liu, Xiaofeng Xia:
A crowd counting method via density map and counting residual estimation. Multim. Tools Appl. 81(30): 43503-43512 (2022) - [c7]Jun Sang, Xin Qiao, Zhongyuan Wu, Shaoli Tian, Xiaofeng Xia:
Vehicle Detection based on Positive Samples Selection with Low Threshold. SMC 2022: 125-130 - 2021
- [j3]Zhongyuan Wu, Zheng Zhang:
Development Strategies for Higher Education Institutions Based on the Cultivation of Core Competitiveness. Int. J. Emerg. Technol. Learn. 16(21) (2021) - [c6]Ying Shi, Jun Sang, Jinghan Tan, Zhongyuan Wu, Bin Cai, Nong Sang:
GC-MRNet: Gated Cascade Multi-stage Regression Network for Crowd Counting. ICANN (2) 2021: 53-66 - [c5]Zhongyuan Wu, Jun Sang, Ying Shi, Qi Liu, Nong Sang, Xinyue Liu:
CRANet: Cascade Residual Attention Network for Crowd Counting. ICME 2021: 1-6 - [i2]Fusen Wang, Jun Sang, Zhongyuan Wu, Qi Liu, Nong Sang:
Hybrid attention network based on progressive embedding scale-context for crowd counting. CoRR abs/2106.02324 (2021)
2010 – 2019
- 2019
- [j2]Zhongyuan Wu, Jun Sang, Qian Zhang, Hong Xiang, Bin Cai, Xiaofeng Xia:
Multi-Scale Vehicle Detection for Foreground-Background Class Imbalance with Improved YOLOv2. Sensors 19(15): 3336 (2019) - [c4]Jason Jinquan Dai, Yiheng Wang, Xin Qiu, Ding Ding, Yao Zhang, Yanzhang Wang, Xianyan Jia, Cherry Li Zhang, Yan Wan, Zhichao Li, Jiao Wang, Shengsheng Huang, Zhongyuan Wu, Yang Wang, Yuhao Yang, Bowen She, Dongjie Shi, Qi Lu, Kai Huang, Guoqiong Song:
BigDL: A Distributed Deep Learning Framework for Big Data. SoCC 2019: 50-60 - [c3]Qian Zhang, Jun Sang, Weiqun Wu, Bin Cai, Zhongyuan Wu, Haibo Hu:
An Image Splicing and Copy-Move Detection Method Based on Convolutional Neural Networks with Global Average Pooling. ICIG (3) 2019: 255-265 - 2018
- [j1]Jun Sang, Zhongyuan Wu, Pei Guo, Haibo Hu, Hong Xiang, Qian Zhang, Bin Cai:
An Improved YOLOv2 for Vehicle Detection. Sensors 18(12): 4272 (2018) - [i1]Jason Jinquan Dai, Yiheng Wang, Xin Qiu, Ding Ding, Yao Zhang, Yanzhang Wang, Xianyan Jia, Cherry Li Zhang, Yan Wan, Zhichao Li, Jiao Wang, Shengsheng Huang, Zhongyuan Wu, Yang Wang, Yuhao Yang, Bowen She, Dongjie Shi, Qi Lu, Kai Huang, Guoqiong Song:
BigDL: A Distributed Deep Learning Framework for Big Data. CoRR abs/1804.05839 (2018) - 2011
- [c2]Xingjun Zhang, Endong Wang, Long Xin, Zhongyuan Wu, Weiqing Dong, Xiaoshe Dong:
KVM-based Detection of Rootkit Attacks. INCoS 2011: 703-708
2000 – 2009
- 2003
- [c1]Zhongyuan Wu, Zhiqiang Gao, Xiangqing He:
Development of a deep submicrometer embedded SRAM compiler. ICECS 2003: 707-710
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