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Jigang Wang
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Journal Articles
- 2024
- [j14]Zhengping Liang
, Ruitai Yang, Jigang Wang, Ling Liu
, Xiaoliang Ma, Zexuan Zhu
:
Dynamic constrained evolutionary optimization based on deep Q-network. Expert Syst. Appl. 249: 123592 (2024) - [j13]Zhengping Liang
, Jiabiao Yan, Fan Zheng, Jigang Wang, Ling Liu
, Zexuan Zhu
:
Multi-objective multi-task particle swarm optimization based on objective space division and adaptive transfer. Expert Syst. Appl. 255: 124618 (2024) - [j12]Sanshuang Jin, Yunkun Zhao, Ruizhe Wu, Fangfang Wu, Tianyu Zhou, Baogen Sun, Jigang Wang:
Two-Dimensional Visible Synchrotron Radiation Interferometry for Measuring Transverse Beam-Profile at HLS-II. IEEE Instrum. Meas. Mag. 27(1): 37-42 (2024) - 2023
- [j11]Zihua Song, Junfeng Wang, Kaiyuan Yang, Jigang Wang:
HGIVul: Detecting inter-procedural vulnerabilities based on hypergraph convolution. Inf. Softw. Technol. 160: 107219 (2023) - 2022
- [j10]Jigang Wang, Liang Chen, Rui Wang:
Domain Generalization Model of Deep Convolutional Networks Based on SAND-Mask. Algorithms 15(6): 215 (2022) - [j9]Yunkun Zhao
, Sanshuang Jin
, Fangfang Wu
, Tianyu Zhou
, Ping Lu
, Jigang Wang
, Baogen Sun
:
Estimations of Longitudinal Impedances Based on Temporal Beam Characteristic Parameter Extraction Method in Storage Ring Light Source. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - 2019
- [j8]Fei Chang, Guangcheng Yang, Jianpeng Qi
, Ying Wang, Shijun Xu
, Jigang Wang, Rui Wang
:
IPIM: An Effective Contribution-Driven Information Propagation Incentive Mechanism. IEEE Access 7: 77362-77373 (2019) - [j7]Wei Wang
, Mengxue Zhao, Jigang Wang:
Effective android malware detection with a hybrid model based on deep autoencoder and convolutional neural network. J. Ambient Intell. Humaniz. Comput. 10(8): 3035-3043 (2019) - 2015
- [j6]Guangyan Zhang, Jigang Wang, Keqin Li, Jiwu Shu, Weimin Zheng:
Redistribute Data to Regain Load Balance during RAID-4 Scaling. IEEE Trans. Parallel Distributed Syst. 26(1): 219-229 (2015) - 2011
- [j5]Jigang Wang, Xiaojie Qiu, Yuhua Li, Youping Deng, Tieliu Shi:
A transcriptional dynamic network during Arabidopsis thaliana pollen development. BMC Syst. Biol. 5(S-3): S8 (2011) - [j4]Peng Li, Weidong Zang, Yuhua Li, Feng Xu, Jigang Wang, Tieliu Shi:
AtPID: the overall hierarchical functional protein interaction network interface and analytic platform for Arabidopsis. Nucleic Acids Res. 39(Database-Issue): 1130-1133 (2011) - 2007
- [j3]Jigang Wang, Predrag Neskovic, Leon N. Cooper:
Bayes classification based on minimum bounding spheres. Neurocomputing 70(4-6): 801-808 (2007) - [j2]Jigang Wang, Predrag Neskovic, Leon N. Cooper:
Improving nearest neighbor rule with a simple adaptive distance measure. Pattern Recognit. Lett. 28(2): 207-213 (2007) - 2006
- [j1]Jigang Wang, Predrag Neskovic, Leon N. Cooper:
Neighborhood size selection in the k-nearest-neighbor rule using statistical confidence. Pattern Recognit. 39(3): 417-423 (2006)
Conference and Workshop Papers
- 2023
- [c16]Zepeng Wang, Nankai Lin, Yongmei Zhou, Dong Zhou, Jigang Wang, Weifeng Huang:
Aspect Sentiment Triplet Extraction via Affective Knowledge and Enhanced Graph Attention Networks. IALP 2023: 364-369 - [c15]Jigang Wang, Aimin Yang, Dong Zhou, Nankai Lin, Zepeng Wang, Weifeng Huang, Boyu Chen:
Simplifying Aspect-Sentiment Quadruple Prediction with Cartesian Product Operation. ICIC (4) 2023: 707-719 - 2022
- [c14]Aimin Yang, Qifeng Bai, Jigang Wang, Nankai Lin, Xiaotian Lin, Guanqiu Qin, Junheng He:
A Fine-Grained Social Bias Measurement Framework for Open-Domain Dialogue Systems. NLPCC (2) 2022: 240-251 - [c13]Guanqiu Qin, Junheng He, Qifeng Bai, Nankai Lin, Jigang Wang, Kang Zhou, Dong Zhou, Aimin Yang:
Prompt Based Framework for Violent Event Recognition in Spanish. IberLEF@SEPLN 2022 - 2019
- [c12]Pengshuai Yang, Yupeng Zhai, Lin Li, Hairong Lv, Jigang Wang, Chengzhan Zhu, Rui Jiang:
Liver Histopathological Image Retrieval Based on Deep Metric Learning. BIBM 2019: 914-919 - 2009
- [c11]Jigang Wang, Yonghui Hu, Jiangcun Zhou
:
Combining Model for Regional GPS Height Conversion Based on Least Squares Support Vector Machines. ESIAT (2) 2009: 639-641 - 2006
- [c10]Jigang Wang, Predrag Neskovic, Leon N. Cooper:
Improving Nearest Neighbor Rule with a Simple Adaptive Distance Measure. ICNC (1) 2006: 43-46 - [c9]Jigang Wang, Predrag Neskovic, Leon N. Cooper:
A Minimum Sphere Covering Approach to Pattern Classification. ICPR (3) 2006: 433-436 - [c8]Jigang Wang, Guochang Gu, Shibo Xie, Lifeng Xu:
Reliable and Efficient Data Transfer Protocol Based on UDP in Cluster System. IMSCCS (1) 2006: 518-524 - [c7]Jigang Wang, Guochang Gu, Shibo Xie, Lifeng Xu:
An Fast Transparent Failover Scheme for Service Availability. IMSCCS (1) 2006: 654-661 - [c6]Jigang Wang, Guochang Gu, Shibo Xie, Lifeng Xu:
Design of Smart Phone-Oriented Embedded Real-time Operating System. IMSCCS (2) 2006: 758-763 - 2005
- [c5]Jigang Wang, Predrag Neskovic, Leon N. Cooper:
Pattern Classification via Single Spheres. Discovery Science 2005: 241-252 - [c4]Jigang Wang, Predrag Neskovic, Leon N. Cooper:
A probabilistic model for cursive handwriting recognition using spatial context. ICASSP (5) 2005: 201-204 - [c3]Jigang Wang, Predrag Neskovic, Leon N. Cooper:
A Statistical Confidence-Based Adaptive Nearest Neighbor Algorithm for Pattern Classification. ICMLC 2005: 548-557 - [c2]Jigang Wang, Predrag Neskovic, Leon N. Cooper:
Locally Determining the Number of Neighbors in the k-Nearest Neighbor Rule Based on Statistical Confidence. ICNC (1) 2005: 71-80 - [c1]Jigang Wang, Predrag Neskovic, Leon N. Cooper:
Training Data Selection for Support Vector Machines. ICNC (1) 2005: 554-564
Parts in Books or Collections
- 2007
- [p1]Jigang Wang, Predrag Neskovic, Leon N. Cooper:
Selecting Data for Fast Support Vector Machines Training. Trends in Neural Computation 2007: 61-84
Informal and Other Publications
- 2024
- [i2]Jie Qi, Ronghua Wang, Nailong Wu, Yuxin Fan, Jigang Wang:
Adaptive Line-Of-Sight guidance law based on vector fields path following for underactuated unmanned surface vehicle. CoRR abs/2403.17448 (2024) - 2022
- [i1]Nankai Lin, Guanqiu Qin, Jigang Wang, Aimin Yang, Dong Zhou:
Research on the application of contrastive learning in multi-label text classification. CoRR abs/2212.00552 (2022)
Coauthor Index
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