[21] Miao Chen, Jianji Wang*, Yanan Chen, Minghui Guo, Nanning Zheng. Weight-based ensemble method for crop pest identification, Ecological Informatics, 2024: 102693.

[20] Wenyu Mi, Jianji Wang, Fuzhen Zhuang, Zhulin An, Wei Guo. Open-category referring expression comprehension via multi-modal knowledge transfer, Neurocomputing, 2024: 128063.

[19] Yanan Chen, Miao Chen, Minghui Guo, Jianji Wang*, Nanning Zheng. Pest recognition based on multi-image feature localization and adaptive filtering fusion, Frontiers in Plant Science, 2023, 14: 1282212.

[18] Wei Liu, Hui Chen, Yongqiang Ma, Jianji Wang, Nanning Zheng. Transformer-Based Approach Via Contrastive Learning for Zero-Shot Detection, International Journal of Neural Systems, 2023, 33(7): 2350035.

[17] Jun Zhang, Nanning Zheng*, Mingyu Liu, Dingyi Yao, Yusong Wang, Jianji Wang*, Jingmin Xin. Multi-weight susceptible-infected model for predicting COVID-19 in China, Neurocomputing, 2023, 534: 161-170.

[16] Jianji Wang, Shupei Zhang, Qi Liu, Shaoyi Du, Yu-Cheng Guo, Nanning Zheng*, Fei-Yue Wang*. Conditional Uncorrelation and Efficient Subset Selection in Sparse Regression, IEEE Transactions on Cybernetics, 2022, 52(10): 10458-10467.

[15] Yaochen Li, Chao Zhu, Yuehu Liu, Yuhui Hong, Jianji Wang, Geometric and Semantic Analysis of Road Image Sequences for Traffic Scene Construction, Neurocomputing, 2021, 465: 336-349.

[14] Lei Xing, Badong Chen*, Jianji Wang, Shaoyi Du, and Jiuwen Cao, Robust High-Order Manifold Constrained Low Rank Representation for Subspace Clustering, IEEE Transactions on Circuits and Systems for Video Technology, 2021, 31(2): 533-545.

[13] Jianji Wang*, Pei Chen, Nanning Zheng, Badong Chen, José C. Príncipe, Fei-Yue Wang*. Associations between MSE and as cost functions in linear decomposition with application to bit allocation for sparse coding, Neurocomputing, 2021, 422(1): 139-149.

[12] Nanning Zheng*, Shaoyi Du*, Jianji Wang, He Zhang, Wenting Cui, Zijian Kang, Tao Yang, Bin Lou, Yuting Chi, Hong Long, Mei Ma, Qi Yuan, Shupei Zhang, Dong Zhang, Feng Ye, and Jingmin Xin, Predicting COVID-19 in China Using Hybrid AI Model, IEEE Transactions on Cybernetics, 2020, 50(7): 2891-2904.

[11] Jianji Wang, Nanning Zheng*, Fei-Yue Wang*, Badong Chen, Pei Chen, Bao Xi, Shitao Chen, Ziyi Liu, Multivariate correlation entropy and law discovery in large data sets, IEEE Intelligent Systems, 2018, 33(5), 47-54.

[10] Guoqiang Liang, Xuguang Lan, Jiang Wang, Jianji Wang, Nanning Zheng, A limb-based graphical model for human pose estimation, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018, 48 (7): 1080-1092. 

[9] Ji Hong, Nathan M Petro, Badong Chen, Zejian Yuan, Jianji Wang, Nanning Zheng, Andreas Keil, Cross multivariate correlation coefficients as screening tool for analysis of concurrent EEG‐fMRI recordings, Journal of Neuroscience Research, 2018, 96(7): 1159-1175.

[8] 汪建基#, 马永强#, 陈仕涛, 刘子熠，郑南宁*，碎片化知识处理与网络化人工智能，中国科学：信息科学，2017，47（2）：171-192. 

[7] Jianji Wang, Pei Chen, Bao Xi, Jianyi Liu, Yi Zhang, Shujian Yu, Fast sparse fractal image compression, PLos One, 2017.9.8, 12(9): e0184408. 

[6] 刘昕，王晓，张卫山，汪建基，王飞跃，平行数据: 从大数据到数据智能，模式识别与人工智能，2017，30(8): 673-681. 

[5] Badong Chen, Jianji Wang, Haiquan Zhao, José C. Príncipe, Insights into Entropy as a Measure of Multivariate Variability, Entropy, 2016, 18(5): 196. 

[4] Badong Chen, Jianji Wang, Haiquan Zhao, Nanning Zheng, José C. Príncipe, Convergence of a Fixed-Point Algorithm under Maximum Correntropy Criterion. IEEE Signal Processing Letters, 2015, 22(10): 1723-1727. 

[3] Jianji Wang, Xuguang Lan*, Yuehu Liu, Nannning Zheng, Fractal image encoding with flexible classification sets, Chinese Science Bulletin, 2014, 59(14): 1597-1606. 

[2] Jianji Wang, Nannning Zheng, A Novel Fractal Image Compression Scheme with Block Classification and Sorting Based on Pearson's Correlation Coefficient, IEEE Transactions on Image Processing, 2013, 22(9): 3690-3702. 

[1] Jianji Wang, Nannning Zheng, Yuehu Liu, Gang Zhou, Parameter analysis of fractal image compression and its applications in image sharpening and smoothing, Signal Processing: Image Communication, 2013(28): 681-687.

[19] Xiaoqian Liang, Jianji Wang*, Yuanliang Lu, Xubin Duan, Xichun Liu, and Nanning Zheng*, Refracting Once is Enough: Neural Radiance Fields for Novel-View Synthesis of Real Refractive Objects. 2024 International Conference on Multimedia Retrieval (ICMR 2024), Phuket, Thailand, 2024.06.10-14.

[18] Miao Chen, Yanan Chen, Minghui Guo, Jianji Wang, Pest Detection and Identification Guided by Feature Maps. 12th International Conference on Image Processing Theory, Tools and Applications (IPTA 2023), Paris, France, 2023.10.16-19.

[17] Shuo Liu, Minglv Jiang, Yuanliang Lu, Jianji Wang*, Nanning Zheng, Consistency Inspection for Assembly of Bolt on Engine Using Multi-View Stereo, The 2023 IEEE Conference on Systems, Man, and Cybernetics (SMC 2023), Hawaii, USA, 2023.10.01-10.04.

[16] Yanan Chen, Miao Chen, Minghui Guo, Fangfang Wang*, Jianji Wang, A Multi-stage Prediction Framework for Pest Identification,  9th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS 2023), pp. 583-588, Dali, China, 2023.08.12-13.

[15] Xingchen Song, Miao Kang, Sanping Zhou, Jianji Wang, Yishu Mao, Nanning Zheng*, Pedestrian Intention Prediction Based on Traffic-Aware Scene Graph Model, The 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), pp. 9851-9858, Kyoto, Japan, 2022.10.23-27.

[14] Zhiwei Zhao, Haodong Jing, Jianji Wang, Weihua Wu, Yongqiang Ma, Images Structure Reconstruction from fMRI by Unsupervised Learning Based on VAE, 31st International Conference on Artificial Neural Networks (ICANN 2022), pp. 137-148, Bristol, UK, 2022.9.6-9.9.

[13] Wei Liu, Hui Chen, Yongqiang Ma, Jianji Wang, Nanning Zheng, Transformer-based Zero-Shot Detection via Contrastive Learning, 18th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2022), pp. 316-327, Greece, 2022.6.17-6.20.

[12] Ma Mei, Wang Jianji, Lan Xuguang, Zheng Nanning, Multi-level Spatio-temporal Matching Network for Multi-turn Response Selection in Retrieval-based Dialogue Systems, 12th IEEE International Conference on Big Knowledge (ICBK 2021), pp. 298-306, Auckland, New Zealand, 2021.12.07-12.08.

[11] Liu Shuo, Zhang Yue, Hu Bo, Ding Jian, Wang Jianji*, Spectrogram-based Aging Assessment for Insulations on Stator Coil Bar, China Automation Congress (CAC 2021), pp. 6350-6355, Beijing, China, 2021.10.22-10.24.

[10] Ding Jian, Wang Jianji*, Zhang Yue, Li Yuanjie, Zheng Nanning.  Correlation-based robust linear regression with iterative outlier removal, 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021), pp. 5594-5598, Toronto, Canada, 2021.06.06-06.11.

[9] Chen Qing, Wang Jianji*, Lan Xuguang, Zheng Nanning*, Preference Relationship-Based CrossCMN Scheme for Answer Ranking in Community QA, 2019 IEEE International Conference on Data Mining (ICDM 2019), pp. 81-90, Beijing, China, 2019.11.08-11.11.

[8] Ma Leiyuan, Liu Ziyi, Zheng Nanning, Wang Jianji, Har enhanced weakly-supervised semantic segmentation coupled with adversarial learning, 26th IEEE International Conference on Image Processing (ICIP 2019), pp. 1845-1849, Taipei, China, 2019.09.22-09.25.

[7] Meng Yang, Yu Cheng, Guang Yujie, Li Sijia, Wang Jianji, and Nanning Zheng, Boundary Recovery of Depth Map for Synthesis View Optimization in 3D Video, IEEE 37th International Conference on Consumer Electronics (ICCE 2019), Las Vegas, Nevada, USA, 2019.01.11-01.13.

[6] Ma Mei, Wang Jianji, Multi-View Face Detection and Landmark Localization Based on MTCNN, China Automation Congress (CAC 2018), pp. 4200-4205, Xi'an, Shaanxi, China, 2018.11.30-12.02.

[5] Dong Tiannan, Wang Jianji*, Yang Meng, Kai Yi, Zheng Nanning, Affine LBG for Codebook Training of Univariate Linear Representation, 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP 2018), pp. 46-50, Anaheim, California, USA, 2018.11.26-11.29.

[4] Zhang Hanbo, Lan Xuguang, Zhou Xinwen, Wang Jianji, Zheng Nanning, Vision-based Robotic Grasp Success Determination with Convolutional Neural Network, 2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER 2017), pp. 31-36, Hawaii, USA, 2017.07.31-08.04.

[3] Xi Bao, Sun Lei, Chen Badong, Wang Jianji, Zheng Nanning, Príncipe J. C., Density-dependent quantized kernel least mean square, 2016 International Joint Conference on Neural Networks (IJCNN 2016), pp. 3564-3569, Vancouver, Canada, 2015.07.25-07.29.

[2] Wang Jianji, Liu Yuehu, Wei Ping, Li Yaochen, Zheng Nanning, Fractal image coding using SSIM, 18th IEEE International Conference on Image Processing (ICIP 2011), pp. 241-244, Brussels, Belgium, 2011.09.11-09.14.

[1] Zhou Gang, Liu Yuehu, Wang Jianji, Scene text detection based on hierarchical multilayer perceptron, 2011 IEEE International Conference on Information and Automation (ICIA 2011), pp. 215-220, Shenzhen, China, 2011.06.06-06.08.

已授权专利：

[4] 米文毓，汪建基，郑南宁.  一种基于语义推断和图像理解的遥感影像定位方法及系统：中国，202110753071.9. 申请日：20210702.

[3] 汪建基，张跃，胡波，王冰丰，梁智明.  一种定子线棒绝缘老化程度预测方法：中国，202010364432.6. 申请日：20200430.

[2] 汪建基，张跃，胡波，丁健，梁智明.  一种基于图像特征支持向量机的定子线棒绝缘老化程度预测方法：中国，202010364444.9. 申请日：20200430.

[1] 汪建基，刘琦，陈佩，陈霸东，郑南宁.  一种稀疏编码的存储优化方法：中国，201910464813.9. 申请日：20190530.

已申请专利：

[5] 汪建基，陈苗，郑南宁. 一种基于深度集成模型的农作物害虫识别方法及系统：中国，202310394237.1. 申请日：20230413.

[4] 刘治宏，汪建基，郑南宁. 一种双注意力感知的农业场景图生成方法及系统：中国，202310307466.5. 申请日：20230327.

[3] 汪建基，陈亚南，郑南宁. 一种基于多图像注意力特征融合的农作物虫害最优视角识别方法：中国，2023102785528. 申请日：20230321.

[2] 汪建基，刘蒴，蒋明吕，郑南宁. 一种基于多视点立体视觉的工业部件尺寸估计方法及系统：中国，202210535712.8. 申请日：20220517.

[1] 张跃，刘伟，胡波，梁智明，唐丽，汪建基.  一种基于GAN网络的样本数据增强方法及系统：中国，202111178317.0. 申请日：20211009.