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Gang Hua 0002
Person information
- affiliation (PhD 2004): China University of Mining and Technology, School of Information and Control Engineering, Xuzhou, China
Other persons with the same name
- Gang Hua 0001
— Wormpex AI Research, Bellevue, WA, USA (and 6 more)
- Gang Hua 0003 — Texas Instruments Ltd., Bangalore, India (and 2 more)
- Gang Hua 0004 — Zhejiang University, State Key Laboratory of CAD&CG, Hangzhou, China
- Gang Hua 0005 — Ningbo Academy of Smart City Development, Zhejiang, China
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2020 – today
- 2024
- [j33]Xuan Yang
, Jiaqi Yan
, Desheng Wang
, Yonggang Xu
, Gang Hua
:
WOAD3QN-RP: An intelligent routing protocol in wireless sensor networks - A swarm intelligence and deep reinforcement learning based approach. Expert Syst. Appl. 246: 123089 (2024) - 2023
- [j32]Xuan Yang
, Jiaqi Yan, Desheng Wang, Yonggang Xu, Gang Hua:
THSI-RP: A two-tier hybrid swarm intelligence based node clustering and multi-hop routing protocol optimization for wireless sensor networks. Ad Hoc Networks 149: 103255 (2023) - [j31]Xuan Yang
, Jiaqi Yan, Yonggang Xu, Desheng Wang, Gang Hua:
A Novel Compute-and-Forward Relaying Method for Multi-Antenna Wireless Relay Networks. Entropy 25(11): 1512 (2023) - [j30]Desheng Wang, Jihang Yin, Yonggang Xu, Xuan Yang
, Gang Hua:
Threshold Based D-SCFlip Decoding of Polar Codes. IEICE Trans. Commun. 106(8): 635-644 (2023) - [j29]Shu Gong, Gang Hua:
Bipolar interval-valued fuzzy set in graph and hypergraph settings. J. Intell. Fuzzy Syst. 44(2): 1755-1767 (2023) - 2022
- [j28]Wenzong Li
, Aichun Zhu, Yonggang Xu, Hongsheng Yin, Gang Hua:
A Fast Multi-Scale Generative Adversarial Network for Image Compressed Sensing. Entropy 24(6): 775 (2022) - [j27]Shu Gong, Gang Hua
:
Fuzzy edge connectivity in bipolar fuzzy networks and the applications in topology design. Int. J. Intell. Syst. 37(8): 5425-5442 (2022) - [j26]Fanjia Li
, Aichun Zhu, Juanjuan Li, Yonggang Xu, Yandong Zhang, Hongsheng Yin
, Gang Hua:
Frequency-driven channel attention-augmented full-scale temporal modeling network for skeleton-based action recognition. Knowl. Based Syst. 256: 109854 (2022) - [j25]Aichun Zhu
, Zhe Zheng, Yaoying Huang, Tian Wang
, Jing Jin
, Fangqiang Hu, Gang Hua
, Hichem Snoussi:
CACrowdGAN: Cascaded Attentional Generative Adversarial Network for Crowd Counting. IEEE Trans. Intell. Transp. Syst. 23(7): 8090-8102 (2022) - [c5]Shu Gong, Gang Hua:
Bipolar Picture Fuzzy Graph Based Multiple Attribute Decision Making Approach-Part I. ML4CS (2) 2022: 155-164 - [c4]Shu Gong, Gang Hua:
Decision Making Analysis of Traffic Accidents on Mountain Roads in Yunnan Province. ML4CS (2) 2022: 228-237 - [c3]Shu Gong, Gang Hua, Xiaomei Zhang:
Bipolar Picture Fuzzy Graph Based Multiple Attribute Decision Making Approach-Part II. ML4CS (2) 2022: 309-320 - 2021
- [j24]Dongbo Huang
, Gang Hua, Yonggang Xu
, Hongsheng Yin
:
Nested Lattice Coding With Algebraic Encoding and Geometric Decoding. IEEE Access 9: 11598-11609 (2021) - [j23]Shu Gong, Gang Hua, Wei Gao:
Domination of Bipolar Fuzzy Graphs in Various Settings. Int. J. Comput. Intell. Syst. 14(1): 162 (2021) - [j22]Aichun Zhu
, Guoxiu Duan
, Xiaomei Zhu, Lu Zhao, Yaoying Huang, Gang Hua, Hichem Snoussi:
CDADNet: Context-guided dense attentional dilated network for crowd counting. Signal Process. Image Commun. 98: 116379 (2021) - [c2]Aichun Zhu, Zijie Wang, Yifeng Li, Xili Wan, Jing Jin, Tian Wang, Fangqiang Hu, Gang Hua:
DSSL: Deep Surroundings-person Separation Learning for Text-based Person Retrieval. ACM Multimedia 2021: 209-217 - [i1]Aichun Zhu, Zijie Wang, Yifeng Li, Xili Wan, Jing Jin, Tian Wang, Fangqiang Hu, Gang Hua:
DSSL: Deep Surroundings-person Separation Learning for Text-based Person Retrieval. CoRR abs/2109.05534 (2021) - 2020
- [j21]Fanjia Li
, Aichun Zhu, Yonggang Xu, Ran Cui
, Gang Hua:
Multi-Stream and Enhanced Spatial-Temporal Graph Convolution Network for Skeleton-Based Action Recognition. IEEE Access 8: 97757-97770 (2020) - [j20]Yonggang Xu
, Yongzhi Xue
, Gang Hua
, Jian-Wei Cheng
:
An Adaptive Distributed Compressed Video Sensing Algorithm Based on Normalized Bhattacharyya Coefficient for Coal Mine Monitoring Video. IEEE Access 8: 158369-158379 (2020) - [j19]Linli Zhu
, Gang Hua
:
Theoretical Perspective of Multi-Dividing Ontology Learning Trick in Two-Sample Setting. IEEE Access 8: 220703-220709 (2020) - [j18]Ran Cui
, Aichun Zhu, Jingran Wu, Gang Hua:
Skeleton-based attention-aware spatial-temporal model for action detection and recognition. IET Comput. Vis. 14(5): 177-184 (2020) - [j17]Aichun Zhu, Qianyu Wu, Ran Cui, Tian Wang, Wenlong Hang, Gang Hua, Hichem Snoussi:
Exploring a rich spatial-temporal dependent relational model for skeleton-based action recognition by bidirectional LSTM-CNN. Neurocomputing 414: 90-100 (2020) - [j16]Zijie Wang, Aichun Zhu, Zhe Zheng, Jing Jin, Zhouxin Xue, Gang Hua:
IMG-Net: inner-cross-modal attentional multigranular network for description-based person re-identification. J. Electronic Imaging 29(4): 043028 (2020) - [j15]Ran Cui, Gang Hua, Jingran Wu:
AP-GAN: Predicting skeletal activity to improve early activity recognition. J. Vis. Commun. Image Represent. 73: 102923 (2020) - [j14]Fanjia Li, Juanjuan Li, Aichun Zhu, Yonggang Xu, Hongsheng Yin, Gang Hua:
Enhanced Spatial and Extended Temporal Graph Convolutional Network for Skeleton-Based Action Recognition. Sensors 20(18): 5260 (2020) - [j13]Yongxing Wang
, Gang Hua, Weige Tao, Lei Zhang:
Improved RSS Data Generation Method Based on Kriging Interpolation Algorithm. Wirel. Pers. Commun. 115(3): 2457-2469 (2020)
2010 – 2019
- 2019
- [j12]Ran Cui
, Gang Hua, Aichun Zhu, Jingran Wu, Haiqiang Liu
:
Hard Sample Mining and Learning for Skeleton-Based Human Action Recognition and Identification. IEEE Access 7: 8245-8257 (2019) - [j11]Haiqiang Liu, Gang Hua, Hongsheng Yin, Aichun Zhu, Ran Cui:
A Simple Deterministic Measurement Matrix Based on GMW Pseudorandom Sequence. IEICE Trans. Inf. Syst. 102-D(7): 1296-1301 (2019) - [j10]Yonggang Xu, Haohao Qi
, Tianyi Xu, Qianqian Hua, Hongsheng Yin, Gang Hua:
Queue models for wireless sensor networks based on random early detection. Peer-to-Peer Netw. Appl. 12(6): 1539-1549 (2019) - 2018
- [j9]Haiqiang Liu
, Yin Jihang, Gang Hua, Hongsheng Yin, Aichun Zhu
:
Deterministic Construction of Measurement Matrices Based on Bose Balanced Incomplete Block Designs. IEEE Access 6: 21710-21718 (2018) - [j8]Wanning Bao
, Haiqiang Liu
, Dongbo Huang, Qianqian Hua, Gang Hua
:
A Bat-Inspired Sparse Recovery Algorithm for Compressed Sensing. Comput. Intell. Neurosci. 2018: 1365747:1-1365747:9 (2018) - [j7]Haiqiang Liu
, Gang Hua
, Hongsheng Yin
, Yonggang Xu:
An Intelligent Grey Wolf Optimizer Algorithm for Distributed Compressed Sensing. Comput. Intell. Neurosci. 2018: 1723191:1-1723191:10 (2018) - [j6]Ran Cui, Aichun Zhu, Gang Hua, Hongsheng Yin, Haiqiang Liu:
Multisource learning for skeleton-based action recognition using deep LSTM and CNN. J. Electronic Imaging 27(04): 043050 (2018) - [j5]Linli Zhu, Gang Hua, Sohail Zafar, Yu Pan:
Fundamental ideas and mathematical basis of ontology learning algorithm. J. Intell. Fuzzy Syst. 35(4): 4503-4516 (2018) - [j4]Hui Liu, Huaizhi Wang, Zhen Wei, Songyao Zhang, Gang Hua, Shao-Wu Zhang, Lin Zhang, Shou-Jiang Gao
, Jia Meng
, Xing Chen
, Yufei Huang:
MeT-DB V2.0: elucidating context-specific functions of N6-methyl-adenosine methyltranscriptome. Nucleic Acids Res. 46(Database-Issue): D281-D287 (2018) - [j3]Zhongting Sun, Gang Hua, Yonggang Xu:
Quality Assessment of Blur Images Via Saliency and Multiscale Features. Wirel. Pers. Commun. 103(1): 391-400 (2018) - [c1]Ran Cui, Aichun Zhu, Sai Zhang, Gang Hua:
Multi-source Learning for Skeleton -based Action Recognition Using Deep LSTM Networks. ICPR 2018: 547-552 - 2017
- [j2]Shuqin Wang, Gang Hua, Guosheng Hao, Chunli Xie:
A comparison of different transfer functions for binary version of grey wolf optimiser. Int. J. Wirel. Mob. Comput. 13(4): 261-269 (2017) - 2014
- [j1]Gang Hua, Daihong Jiang:
A New Method of Image Denoising for Underground Coal Mine Based on the Visual Characteristics. J. Appl. Math. 2014: 362716:1-362716:7 (2014)
Coauthor Index
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last updated on 2024-08-15 23:49 CEST by the dblp team
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