2025

• Lu, Q., Seah, Z., Huangfu, S., Nanda, M., Wang, Z. (2025). Are Social Media Influencers the Right Choice for Global Luxury Brands? Journal of Strategic Marketing, in press.
• Shi, D., Han, A., Lin, L., Guo, Y., Wang, Z., Gao, J. (2025). Design your own universe: a physics-informed agnostic method for enhancing graph neural networks. International Journal of Machine Learning and Cybernetics, 16(2), 1129-1144. [More Information]
• Shi, D., Shao, Z., Gao, J., Wang, Z., Guo, Y. (2025). Frameless Graph Knowledge Distillation. IEEE Transactions on Neural Networks and Learning Systems, Published online: 4 September 2024. [More Information]
• Wang, N., Wang, W., Yang, H., Zhang, H., Wang, Z., Wang, Z., Li, H. (2025). Motion-guided semantic alignment for line art animation colorization. Pattern Recognition, 158, 111055. [More Information]

2024

• Hu, K., Wang, Z., Coleman, G., Bender, A., Yao, T., Zeng, S., Song, D., Schumann, A., Walsh, M. (2024). Deep learning techniques for in-crop weed recognition in large-scale grain production systems: a review. Precision Agriculture, 25(1), 1-29. [More Information]
• Sun, B., Guo, Y., Yan, T., Ye, X., Wang, Z., Li, H., Wang, Z. (2024). Digging into Depth and Color Spaces: A Mapping Constraint Network for Depth Super-Resolution. ACM Transactions on Multimedia Computing, Communications and Applications, 20(10). [More Information]
• Sun, B., Ye, X., Yan, T., Wang, Z., Li, H., Wang, Z. (2024). Discriminative Segment Focus Network for Fine-grained Video Action Recognition. ACM Transactions on Multimedia Computing, Communications and Applications, 20(7), 218. [More Information]
• Ma, M., Li, F., Hu, Y., Wang, Z., Mei, S. (2024). Joint Spatial and Spectral Graph-Based Consistent Self-Representation for Unsupervised Hyperspectral Band Selection. IEEE Transactions on Geoscience and Remote Sensing, 62, 5520616. [More Information]
• Wu, Q., Deng, H., Hu, K., Wang, Z. (2024). Music source separation via hybrid waveform and spectrogram based generative adversarial network. Multimedia Tools and Applications. [More Information]
• Chen, Z., Pan, Y., Ye, Y., Wang, Z., Xia, Y. (2024). TriLA: Triple-Level Alignment based Unsupervised Domain Adaptation for Joint Segmentation of Optic Disc and Optic Cup. IEEE Journal of Biomedical and Health Informatics. [More Information]

2023

• Zeng, S., Duan, X., Li, H., Bai, J., Tang, Y., Wang, Z. (2023). A Sparse Framework for Robust Possibilistic K-Subspace Clustering. IEEE Transactions on Fuzzy Systems, 31(4), 1124-1138. [More Information]
• Yue, W., Liao, H., Xia, Y., Lam, V., Luo, J., Wang, Z. (2023). Cascade Multi-Level Transformer Network for Surgical Workflow Analysis. IEEE Transactions on Medical Imaging, , 1-1. [More Information]
• Wang, N., Niu, M., Dou, Z., Wang, Z., Wang, Z., Ming, Z., Liu, B., Li, H. (2023). Coloring anime line art videos with transformation region enhancement network. Pattern Recognition, 141. [More Information]
• Yang,, P., Huang,, H., Wang, Z., Yu,, A., He,, R. (2023). Confidence-Calibrated Face Image Forgery Detection with Contrastive Representation Distillation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), : Springer Verlag.
• Qiu, C., Wang, Z., Lin, X., Zang, Y., Wang, C., Liu, W. (2023). DSMNet: Deep High-Precision 3-D Surface Modeling from Sparse Point Cloud Frames. IEEE Geoscience and Remote Sensing Letters, 20. [More Information]
• Tang, P., Gao, J., Zhang, L., Wang, Z. (2023). Efficient and Interpretable Compressive Text Summarisation with Unsupervised Dual-Agent Reinforcement Learning. The Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP), Toronto, Canada: Association for Computational Linguistics (ACL). [More Information]
• Hu, K., Wang, Z., Ehgoetz Martens, K., Hagenbuchner, M., Bennamoun, M., Tsoi, A., Lewis, S. (2023). Graph Fusion Network-Based Multimodal Learning for Freezing of Gait Detection. IEEE Transactions on Neural Networks and Learning Systems, 34(3), 1588-1600. [More Information]
• Sun, R., Hu, K., Martens, K., Hagenbuchner, M., Tsoi, A., Bennamoun, M., Lewis, S., Wang, Z. (2023). Higher Order Polynomial Transformer for Fine-Grained Freezing of Gait Detection. IEEE Transactions on Neural Networks and Learning Systems. [More Information]
• Deng, H., Wu, Q., Huang, H., Yang, X., Wang, Z. (2023). InvolutionGAN: lightweight GAN with involution for unsupervised image-to-image translation. Neural Computing and Applications. [More Information]
• Hu, K., Mei, S., Wang, W., Ehgoetz Martens, K., Wang, L., Lewis, S., Feng, D., Wang, Z. (2023). Multi-Level Adversarial Spatio-Temporal Learning for Footstep Pressure Based FoG Detection. IEEE Journal of Biomedical and Health Informatics, 27(8), 4166-4177. [More Information]
• Shen, J., Yao, Y., Huang, S., Wang, Z., Zhang, J., Wang, R., Yu, J., Liu, T. (2023). ProtoSimi: label correction for fine-grained visual categorization. Machine Learning. [More Information]
• Wang, N., Niu, M., Wang, Z., Hu, K., Liu, B., Wang, Z., Li, H. (2023). Region Assisted Sketch Colorization. IEEE Transactions on Image Processing, 32, 6142-6154. [More Information]
• Tang, P., Hu, K., Zhang, L., Gao, J., Luo, J., Wang, Z. (2023). TopicCAT: Unsupervised Topic-Guided Co-Attention Transformer for Extreme Multimodal Summarisation. 31st ACM International Conference on Multimedia MM '23, Ottawa ON, Canada: Association for Computing Machinery (ACM). [More Information]

2022

• Zhuang, P., Guo, Y., Yu, Z., Zhou, L., Bai, L., Liang, D., Wang, Z., Wang, Y., Ouyang, W. (2022). Action Recognition With Motion Diversification and Dynamic Selection. IEEE Transactions on Image Processing, 31, 4884-4896. [More Information]
• Hu, K., Wu, W., Li, W., Simic, M., Zomaya, A., Wang, Z. (2022). Adversarial Evolving Neural Network for Longitudinal Knee Osteoarthritis Prediction. IEEE Transactions on Medical Imaging, 41(11), 3207-3217. [More Information]
• Xu, J., Zhang, B., Wang, Z., Wang, Y., Chen, F., Gao, J., Feng, D. (2022). Affective Audio Annotation of Public Speeches with Convolutional Clustering Neural Network. IEEE Transactions on Affective Computing, 13(1), 238-249. [More Information]
• Cheng,, X., Zhong,, Y., Harandi,, M., Drummond,, T., Wang, Z., Ge,, Z. (2022). Deep Laparoscopic Stereo Matching with Transformers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), : Springer Verlag.
• Gu, R., Wu, Q., Li, Y., Kang, W., Ng, W., Wang, Z. (2022). Enhanced Local and Global Learning for Rotation-Invariant Point Cloud Representation. IEEE MultiMedia, 29(4), 24-37. [More Information]
• Sun,, B., Ye,, X., Yan,, T., Wang,, Z., Li,, H., Wang, Z. (2022). Fine-grained Action Recognition with Robust Motion Representation Decoupling and Concentration. MM 2022 - Proceedings of the 30th ACM International Conference on Multimedia, : SPIE.
• Ma, M., Mei, S., Wan, S., Wang, Z., Hua, X., Feng, D. (2022). Graph Convolutional Dictionary Selection With L2,p Norm for Video Summarization. IEEE Transactions on Image Processing, 31, 1789-1804. [More Information]
• Tang, P., Hu, K., Yan, R., Zhang, L., Gao, J., Wang, Z. (2022). OTExtSum: Extractive Text Summarisation with Optimal Transport. Findings of the Association for Computational Linguistics NAACL 2022, : International Astronautical Federation, IAF. [More Information]
• Kan, J., Hu, K., Hagenbuchner, M., Tsoi, A., Bennamoun, M., Wang, Z. (2022). Sign Language Translation with Hierarchical Spatio-Temporal Graph Neural Network. Macro In Conference. [More Information]
• Cao, S., An, G., Zheng, Z., Wang, Z. (2022). Vision-Enhanced and Consensus-Aware Transformer for Image Captioning. IEEE Transactions on Circuits and Systems for Video Technology, 32(10), 7005-7018. [More Information]
• Coleman, G., Bender, A., Hu, K., Sharpe, S., Schumann, A., Wang, Z., Bagavathiannan, M., Boyd, N., Walsh, M. (2022). Weed detection to weed recognition: reviewing 50 years of research to identify constraints and opportunities for large-scale cropping systems. Weed Technology, 36(6), 741-757. [More Information]

2021

• Meng, Z., Xu, J., Li, Z., Wang, Y., Chen, F., Wang, Z. (2021). A Multi-task Kernel Learning Algorithm for Survival Analysis. 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2021, Cham: Springer. [More Information]
• Xu, S., Xiong, H., Wu, Q., Wang, Z. (2021). Attention-based Long-term Modeling for Deep Visual Odometry. 2021 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2021, Gold Coast: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Wen, C., Tan, J., Li, F., Wu, C., Lin, Y., Wang, Z., Wang, C. (2021). Cooperative indoor 3D mapping and modeling using LiDAR data. Information Sciences, 574, 192-209. [More Information]
• Shi, D., Gao, J., Hong, X., Choy, S., Wang, Z. (2021). Coupling matrix manifolds assisted optimization for optimal transport problems. Machine Learning, 110(3), 533-558. [More Information]
• Liu, C., Kong, D., Wang, S., Wang, Z., Li, J., Yin, B. (2021). Deep3D reconstruction: methods, data, and challenges. Frontiers of Informaion Technology & Electronic Engineering, 22(5), 652-672. [More Information]
• Gu, R., Wu, Q., Ng, W., Xu, H., Wang, Z. (2021). ERINet: Enhanced rotation-invariant network for point cloud classification. Pattern Recognition Letters, 151, 180-186. [More Information]
• Xu, J., Tian, H., Wang, Z., Wang, Y., Kang, W., Chen, F. (2021). Joint Input and Output Space Learning for Multi-Label Image Classification. IEEE Transactions on Multimedia, 23, 1696-1707. [More Information]
• Ma, M., Mei, S., Wan, S., Wang, Z., Ge, Z., Lam, V., Feng, D. (2021). Keyframe Extraction from Laparoscopic Videos via Diverse and Weighted Dictionary Selection. IEEE Journal of Biomedical and Health Informatics, 25(5). [More Information]
• Mo, C., Hu, K., Mei, S., Chen, Z., Wang, Z. (2021). Keyframe Selection from Motion Capture Sequences with Graph based Deep Reinforcement Learning. MM 2021: The 29th ACM International Conference on Multimedia, New York: Association for Computing Machinery (ACM). [More Information]
• Gu, R., Wu, Q., Xu, H., Ng, W., Wang, Z. (2021). LEARNING EFFICIENT ROTATION REPRESENTATION FOR POINT CLOUD VIA LOCAL-GLOBAL AGGREGATION. 2021 IEEE International Conference on Multimedia and Expo, ICME 2021, United States: IEEE Computer Society. [More Information]
• Mei, S., Ma, M., Wan, S., Hou, J., Wang, Z., Feng, D. (2021). Patch based Video Summarization with Block Sparse Representation. IEEE Transactions on Multimedia, 23, 732-747. [More Information]
• Zhang, B., Wang, Z., Gao, J., Rutjes, C., Nufer, K., Tao, D., Feng, D., Menzies, S. (2021). Short-term Lesion Change Detection for Melanoma Screening with Novel Siamese Neural Network. IEEE Transactions on Medical Imaging, 40(3), 840-851. [More Information]
• Ma, M., Mei, S., Wan, S., Wang, Z., Feng, D., Bennamoun, M. (2021). Similarity Based Block Sparse Subset Selection for Video Summarization. IEEE Transactions on Circuits and Systems for Video Technology, 31(10), 3967-3980. [More Information]
• Qu, W., Kao, C., Hong, H., Chi, Z., Grunstein, R., Gordon, C., Wang, Z. (2021). Single-channel EEG based insomnia detection with domain adaptation. Computers in Biology and Medicine, 139, 104989. [More Information]

2020

• Gu, J., Wang, Z., Ouyang, W., Zhang, W., Li, J., Zhuo, L. (2020). 3D hand pose estimation with disentangled cross-modal latent space. 2020 IEEE Winter Conference on Applications of Computer Vision (WACV 2020), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Qu, W., Wang, Z., Hong, H., Chi, Z., Feng, D., Grunstein, R., Gordon, C. (2020). A Residual Based Attention Model for EEG Based Sleep Staging. IEEE Journal of Biomedical and Health Informatics, 24(10), 2833-2843. [More Information]
• Zhang, Y., Luo, L., Zhang, J., Lu, Q., Wang, Y., Wang, Z. (2020). Correlation-Aware Next Basket Recommendation Using Graph Attention Networks. 27th International Conference on Neural Information Processing (ICONIP 2020), Cham: Springer. [More Information]
• Liu, Z., Zhang, H., Chen, Z., Wang, Z., Ouyang, W. (2020). Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Nguyen, T., Le, C., Sang, D., Yao, T., Li, W., Wang, Z. (2020). Efficient Brain Tumor Segmentation with Dilated Multi-fiber Network and Weighted Bi-directional Feature Pyramid Network. Digital Image Computing: Techniques and Applicartions (DICTA 2020), Melbourne: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Zhang, Y., Luo, L., Wang, Y., Wang, Z. (2020). FCP Filter: A Dynamic Clustering-Prediction Framework for Customer Behavior. 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, Cham: Springer. [More Information]
• Hu, K., Wang, Z., Wang, W., Ehgoetz Martens, K., Wang, L., Tan, T., Lewis, S., Feng, D. (2020). Graph sequence recurrent neural network for vision-based freezing of gait detection. IEEE Transactions on Image Processing, 29, 1890-1901. [More Information]
• Hu, K., Coleman, G., Zeng, S., Wang, Z., Walsh, M. (2020). Graph weeds net: A graph-based deep learning method for weed recognition. Computers and Electronics in Agriculture, 174, 1-9. [More Information]
• Wang, J., Wang, W., Wang, L., Wang, Z., Feng, D., Tan, T. (2020). Learning visual relationship and context-aware attention for image captioning. Pattern Recognition, 98, 107075. [More Information]
• Jian, Z., Yue, W., Wu, Q., Li, W., Wang, Z., Lam, V. (2020). Multitask Learning for Video-based Surgical Skill Assessment. Digital Image Computing: Techniques and Applicartions (DICTA 2020), Melbourne: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Xue, B., Deng, B., Hong, H., Wang, Z., Zhu, X., Feng, D. (2020). Non-Contact Sleep Stage Detection Using Canonical Correlation Analysis of Respiratory Sound. IEEE Journal of Biomedical and Health Informatics, 24(2), 614-625. [More Information]
• Liang, N., Kang, W., Wang, Z., Feng, D., Fang, L. (2020). Real-time hand posture recognition using hand geometric features and Fisher Vector. Signal Processing: Image Communication, 82, 115729. [More Information]
• Xu, J., Hu, K., Xu, C., Tran, D., Wang, Z. (2020). Speaker-aware monaural speech separation. 21st Annual Conference of the International Speech Communication Association (INTERSPEECH 2020), Shanghai: International Speech Communication Association (ISCA). [More Information]
• Ma, M., Mei, S., Wan, S., Hou, J., Wang, Z., Feng, D. (2020). Video summarization via block sparse dictionary selection. Neurocomputing, 378, 197-209. [More Information]
• Hu, K., Wang, Z., Mei, S., Ehgoetz Martens, K., Yao, T., Lewis, S., Feng, D. (2020). Vision-Based Freezing of Gait Detection with Anatomic Directed Graph Representation. IEEE Journal of Biomedical and Health Informatics, 24(4), 1215-1225. [More Information]

2019

• Zhang, W., Kong, D., Wang, S., Wang, Z. (2019). 3D human pose estimation from range images with depth difference and geodesic distance. Journal of Visual Communication and Image Representation, 59, 272-282. [More Information]
• Zeng, S., Wang, Z., Huang, R., Chen, L., Feng, D. (2019). A study on multi-kernel intuitionistic fuzzy C-means clustering with multiple attributes. Neurocomputing, 335, 59-71. [More Information]
• Fang, L., Wu, G., Kang, W., Wu, Q., Wang, Z., Feng, D. (2019). Feature covariance matrix-based dynamic hand gesture recognition. Neural Computing and Applications, 31(12), 8533-8546. [More Information]
• Yao, Z., Zhang, B., Wang, Z., Ouyang, W., Xu, D., Feng, D. (2019). IntersectGan: Learning domain intersection for generating images with multiple attributes. 27th ACM International Conference on Multimedia (MM'19), New York: Association for Computing Machinery (ACM). [More Information]
• Yao, T., Wang, Z., Luo, Y., Liang, Y., Hu, Q., Feng, D. (2019). Learning shared and cluster-specific dictionaries for single image super-resolution. IEEE Access, 7, 120041-120051. [More Information]
• Xue, B., Hong, H., Zhou, S., Chen, G., Li, Y., Wang, Z., Zhu, X. (2019). Morphological Filtering Enhanced Empirical Wavelet Transform for Mode Decomposition. IEEE Access, 7, 14283-14293. [More Information]
• Zeng, S., Duan, X., Li, H., Xiao, Z., Wang, Z., Feng, D. (2019). Regularized Fuzzy Discriminant Analysis for Hyperspectral Image Classification with Noisy Labels. IEEE Access, 7, 108125-108136. [More Information]
• Ma, M., Mei, S., Wan, S., Wang, Z., Feng, D. (2019). Robust video summarization using collaborative representation of adjacent frames. Multimedia Tools and Applications, 78(20), 28985-29005. [More Information]
• Wang, J., Wang, W., Wang, Z., Wang, L., Feng, D., Tan, T. (2019). Stacked memory network for video summarization. 27th ACM International Conference on Multimedia (MM'19), New York: Association for Computing Machinery (ACM). [More Information]
• Ma, M., Mei, S., Wan, S., Wang, Z., Feng, D. (2019). Video summarization via nonlinear sparse dictionary selection. IEEE Access, 7, 11763-11774. [More Information]
• Hu, K., Wang, Z., Ehgoetz Martens, K., Lewis, S. (2019). Vision-based Freezing of Gait Detection with Anatomic Patch based Representation. 14th Asian Conference on Computer Vision (ACCV 2018), Cham: Springer. [More Information]

2018

• Sun, R., Wang, Z., Ehgoetz Martens, K., Lewis, S. (2018). Convolutional 3D Attention Network for Video Based Freezing of Gait Recognition. 2018 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2018), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Zhang, L., Wang, Z., Yao, T., Staoh, S., Mei, T., Feng, D. (2018). Exploiting spatial-temporal context for trajectory based action video retrieval. Multimedia Tools and Applications, 77(2), 2057-2081. [More Information]
• Ma, M., Mei, S., Wan, S., Wang, Z., Feng, D. (2018). Forward-Backward Nonlinear Sparse Dictionary Selection Based Video Summarization. IEEE 4th International Conference on Multimedia Big Data (BigMM 2018), Xian: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Wang, G., Kang, W., Wu, Q., Wang, Z., Gao, J. (2018). Generative Adversarial Network (GAN) Based Data Augmentation for Palmprint Recognition. 2018 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2018), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Zeng, S., Wang, Z., Gao, C., Kang, Z., Feng, D. (2018). Hyperspectral Image Classification With Global-Local Discriminant Analysis and Spatial-Spectral Context. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(12), 5005-5018. [More Information]
• Vassallo, A., Kelly, B., Zhang, L., Wang, Z., Young, S., Freeman, B. (2018). Junk food marketing on instagram: Content analysis. JMIR Public Health and Surveillance, 4(2). [More Information]
• Liang, N., Wu, G., Kang, W., Wang, Z., Feng, D. (2018). Real-Time Long-Term Tracking with Prediction-Detection-Correction. IEEE Transactions on Multimedia, 20(9), 2289-2302. [More Information]
• Ma, M., Mei, S., Hou, J., Wan, S., Wang, Z. (2018). Video summarization via temporal collaborative representation of adjacent frames. 25th International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2017), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Ma, M., Mei, S., Wan, S., Wang, Z., Tsoi, A., Feng, D. (2018). Video Summarization via Weighted Neighborhood Based Representation. 2018 25th IEEE International Conference on Image Processing (ICIP 2018), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

2017

• Deng, B., Xue, B., Hong, H., Fu, C., Zhu, X., Wang, Z. (2017). Decision tree based sleep stage estimation from nocturnal audio signals. 2017 22nd International Conference on Digital Signal Processing (DSP 2017), London: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Wang, H., Xia, Y., Wang, Z. (2017). Dictionary learning-based image compression. 2017 IEEE International Conference on Image Processing (ICIP 2017), China: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Ji,, J., Mei,, S., Liu,, X., Li,, X., Zeng,, S., Wang, Z. (2017). Exploring Kernel Based Spatial Context for CNN Based Hyperspectral Image Classification. The International Conference on Digital Image Computing: Techniques and Applications (DICTA 2017), : Springer Verlag.
• Ma, M., Mei, S., Ji, J., Wan, S., Wang, Z., Feng, D. (2017). Exploring the Influence of Feature Representation for Dictionary Selection based Video Summarization. 2017 IEEE International Conference on Image Processing (ICIP 2017), China: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Zhou, X., Gao, X., Wang, J., Yu, H., Wang, Z., Chi, Z. (2017). Eye tracking data guided feature selection for image classification. Pattern Recognition, 63, 56-70. [More Information]
• Yao, T., Wang, Z., Xie, Z., Gao, J., Feng, D. (2017). Learning universal multiview dictionary for human action recognition. Pattern Recognition, 64, 236-244. [More Information]
• Gao, J., Guo, Y., Wang, Z. (2017). Matrix Neural Networks. In F Cong, A Leung, Q Wei (Eds.), Advances in Neural Networks - ISNN 2017: 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21-26, 2017, Proceedings, Part I, (pp. 313-320). Cham: Springer. [More Information]
• Ma, M., Mei, S., Hou, J., Wan, S., Wang, Z., Feng, D. (2017). Nonlinear kernel sparse dictionary selection for video summarization. 2017 IEEE International Conference on Multimedia and Expo (ICME 2017), Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Lu, X., Fang, Y., Kang, W., Wang, Z., Feng, D. (2017). SCUT-MMSIG: A Multimodal Online Signature Database. 12th Chinese Conference on Biometric Recognition, CCBR 2017, Cham: Springer Verlag. [More Information]
• Ma,, M., Mei,, S., Wan,, S., Hou,, J., Wang, Z., Feng, D. (2017). Video Summarization via Simultaneous Block Sparse Representation. The International Conference on Digital Image Computing: Techniques and Applications (DICTA 2017), : Springer Verlag.
• Shi, R., Wu, G., Kang, W., Wang, Z., Feng, D. (2017). Visual tracking utilizing robust complementary learner and adaptive refiner. Neurocomputing, 260, 367-377. [More Information]

2016

• Yao, T., Wang, Z., Xie, Z., Gao, J., Feng, D. (2016). A Multiview Joint Sparse Representation with Discriminative Dictionary for Melanoma Detection. 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2016), Gold Coast: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Zhang, L., Wang, Z., Mei, T., Feng, D. (2016). A Scalable Approach for Content-Based Image Retrieval in Peer-to-Peer Networks. IEEE Transactions On Knowledge And Data Engineering, 28(4), 858-872. [More Information]
• He, R., Wang, Z., Fan, Y., Feng, D. (2016). Atmospheric turbulence mitigation based on turbulence extraction. 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Harjanto, F., Wang, Z., Lu, S., Tsoi, A., Feng, D. (2016). Investigating the impact of frame rate towards robust human action recognition. Signal Processing, 124, 220-232. [More Information]
• He, R., Fan, Y., Wang, Z., Feng, D. (2016). Novel single hazy image restoration method based on nonlocal total variation regularization optimization. Dianzi Yu Xinxi Xuebao, 38(10), 2509-2514. [More Information]
• Xiong, H., Wang, Z., He, R., Feng, D. (2016). Robust foreground object segmentation from handheld camera videos with occlusion map. Multimedia Tools and Applications, 75(10), 5751-5776. [More Information]

2015

• Zhang, B., Wang, Z., Tao, D., Hua, X., Feng, D. (2015). Automatic Preview Frame Selection for Online Videos. 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2015), Piscataway, New Jersey: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• He, R., Wang, Z., Fan, Y., Feng, D. (2015). Combined constraint for single image dehazing. Electronics Letters, 51(22), 1776-1778. [More Information]
• Yao, T., Wang, Z., Xie, Z., Gao, J., Feng, D. (2015). Discovering Commonness and Specificness for Human Action Recognition. 23rd ACM International Conference on Multimedia with the ACM International Workshop on Human-centered Event Understanding from Multimedia, New York: Association for Computing Machinery (ACM). [More Information]
• Lu, S., Mei, T., Wang, J., Zhang, J., Wang, Z., Li, S. (2015). Exploratory Product Image Search With Circle-to-Search Interaction. IEEE Transactions on Circuits and Systems for Video Technology, 25(7), 1190-1202. [More Information]
• Mei, S., Wang, Z., He, M., Feng, D. (2015). Resource Restricted On-line Video Summarization with Minimum Sparse Reconstruction. 2015 Picture Coding Symposium (PCS 2015), Piscataway, New Jersey: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Shen, X., Zhang, L., Wang, Z., Feng, D. (2015). Spatial-temporal correlation for trajectory based action video retrieval. 17th International Workshop on Multimedia Signal Processing (MMSP 2015), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Ma, G., Xue, B., Hong, H., Zhu, X., Wang, Z. (2015). Unsupervised Snore Detection from Respiratory Sound Signals. 2015 IEEE International Conference on Digital Signal Processing (DSP 2015), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Mei, S., Guan, G., Wang, Z., Wan, S., He, M., Feng, D. (2015). Video Summarization via Minimum Sparse Reconstruction. Air Medical Journal, 48(2), 522-533. [More Information]

2014

• Lu, S., Wang, Z., Mei, T., Guan, G., Feng, D. (2014). A Bag-of-Importance Model With LocalityConstrained Coding Based Feature Learning for Video Summarization. IEEE Transactions on Multimedia, 16(6), 1497-1509. [More Information]
• Guan, G., Wang, Z., Mei, S., Ott, M., He, M., Feng, D. (2014). A Top-down Approach for Video Summarization. ACM Transactions on Multimedia Computing, Communications and Applications, 11(1), 1-21. [More Information]
• Lu, S., Mei, T., Wang, J., Zhang, J., Wang, Z., Li, S. (2014). Browse-to-Search: Interactive Exploratory Search with Visual Entities. ACM Transactions of Information Systems, 32(4), 1-27. [More Information]
• Charters, J., Wang, Z., Chi, Z., Tsoi, A., Feng, D. (2014). EAGLE: A novel descriptor for identifying plant species using leaf lamina vascular features. 2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW 2014), Piscataway, New Jersey: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Mei, S., Guan, G., Wang, Z., He, M., Wan, S., Feng, D. (2014). Iterative keyframe selection by orthogonal subspace projection. 2014 IEEE International Conference on Image Processing (ICIP 2014), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Mei, S., Guan, G., Wang, Z., He, M., Hua, X., Feng, D. (2014). L2,0 constrained sparse dictionary selection for video summarization. IEEE International Conference on Multimedia & Expo, Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Zhuo, L., Liang, J., Wang, Z., Ding, R. (2014). Multimedia sensor networks. International Journal of Distributed Sensor Networks, 2014. [More Information]
• Wang, Z., Chang, T., Hunter, L., Gregory, A., Tanudji, M., Jones, S., Stenzel, M. (2014). Radio-opaque micelles for X-ray imaging. Australian Journal of Chemistry, 67(1), 78-84. [More Information]
• Lu, S., Huang, X., Wang, Z., Zheng, Y. (2014). Sparse Appearance Learning Based Automatic Coronary Sinus Segmentation in CTA. Lecture Notes in Computer Science (LNCS), 8673 (1), 779-787. [More Information]
• Yu, K., Wang, Z., Hagenbuchner, M., Feng, D. (2014). Spectral embedding based facial expression recognition with multiple features. Neurocomputing, 129, 136-145. [More Information]
• Mei, S., He, M., Wang, Z., Feng, D. (2014). Unsupervised spectral mixture analysis of highly mixed data with hopfield neural network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(6), 1922-1935. [More Information]

2013

• Lu, S., Wang, Z., Song, Y., Mei, T., Feng, D. (2013). A Bag-of-Importance Model for Video Summarization. 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Liu, S., Zhang, L., Cai, W., Song, Y., Wang, Z., Wen, L., Feng, D. (2013). A Supervised Multiview Spectral Embedding Method for Neuroimaging Classification. 2013 20th IEEE International Conference on Image Processing (ICIP 2013), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Wu, Q., Wang, Z., Deng, F., Xia, Y., Kang, W., Feng, D. (2013). Discriminative two-level feature selection for realistic human action recognition. Journal of Visual Communication and Image Representation, 24(7), 1064-1074. [More Information]
• Lu, S., Zhang, J., Wang, Z., Feng, D. (2013). Fast human action classification and VOI localization with enhanced sparse coding. Journal of Visual Communication and Image Representation, 24(2), 127-136. [More Information]
• Zhang, L., Liu, S., Wang, Z., Cai, W., Song, Y., Feng, D. (2013). Graph Cuts based Relevance Feedback in Image Retrieval. 2013 20th IEEE International Conference on Image Processing (ICIP 2013), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Guan, G., Wang, Z., Lu, S., Deng, J., Feng, D. (2013). Keypoint-Based Keyframe Selection. IEEE Transactions on Circuits and Systems for Video Technology, 23(4), 729-734. [More Information]
• Yu, K., Wang, Z., Zhuo, L., Wang, J., Chi, Z., Feng, D. (2013). Learning realistic facial expressions from web images. Air Medical Journal, 46(8), 2144-2155. [More Information]
• He, R., Wang, Z., Fan, Y., Feng, D. (2013). Multiple Scattering Model based Single Image Dehazing. 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA), Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Wu, Q., Wang, Z., Deng, F., Chi, Z., Feng, D. (2013). Realistic human action recognition with multimodal feature selection and fusion. IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans, 43(4), 875-885. [More Information]
• Wang, Z., Guan, G., Qiu, Y., Zhuo, L., Feng, D. (2013). Semantic context based refinement for news video annotation. Multimedia Tools and Applications, 67(3), 607-627. [More Information]
• Wang, Z., Liu, S., Wang, J., Zhang, M. (2013). Three-dimensional cartoon facial animation based on art rules. The Visual Computer, 29(11), 1135-1149. [More Information]

2012

• Lu, S., Mei, T., Wang, J., Zhang, J., Wang, Z., Feng, D., Sun, J., Li, S. (2012). Browse-to-Search. 20th ACM International Conference on Multimedia, MM'12, New York: Association for Computing Machinery (ACM). [More Information]
• Zhang, L., Wang, Z., Feng, D. (2012). Content-Based Image Retrieval in P2P Networks with Bag-of-Features. 2012 International Workshop on Emerging Multimedia Systems and Applications (In conjunction with ICME 2012), Los Alamitos, California: IEEE Computer Society. [More Information]
• Harjanto, F., Wang, Z., Lu, S., Feng, D. (2012). Evaluating the Impact of Frame Rate on Video Based Human Action Recognition. The 27th Image and Vision Computing New Zealand Conference, New York: Association for Computing Machinery (ACM). [More Information]
• Yu, K., Wang, Z., Guan, G., Wu, Q., Chi, Z., Feng, D. (2012). How many frames does facial expression recognition require? 2012 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2012, Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• He, R., Wang, Z., Xiong, H., Feng, D. (2012). Single Image Dehazing with White Balance Correction and Image Decomposition. 2012 International Conference on Digital Image Computing Techniques and Applications (DICTA), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Yu, K., Wang, Z., Yue, L., Feng, D. (2012). Spatially Enhanced Local Binary Pattern. Electronics Letters, 48(25), 1590-1591. [More Information]
• Mei, S., He, M., Wang, Z., Feng, D. (2012). Unsupervised Spectral Mixture Analysis with Hopfield Neural Network for Hyperspectral Images. 2012 19th IEEE International Conference on Image Processing (ICIP 2012), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Yu, K., Li, Z., Guan, G., Wang, Z., Feng, D. (2012). Unsupervised Text Segmentation using LDA and MCMC. The Tenth Australasian Data Mining Conference (AusDM), Sydney: Association for Computing Machinery (ACM).
• Xiong, H., Wang, Z., He, R., Feng, D. (2012). Video Object Segmentation with Occlusion Map. 2012 International Conference on Digital Image Computing Techniques and Applications (DICTA), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Guan, G., Wang, Z., Yu, K., Mei, S., He, M., Feng, D. (2012). Video Summarization with Global and Local Features. 2012 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2012, Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Tian, G., Guan, G., Wang, Z., Feng, D. (2012). What is Happening: Annotating Images with Verbs. 20th ACM International Conference on Multimedia, MM'12, New York: Association for Computing Machinery (ACM). [More Information]

2011

• Wang, Z., Feng, D. (2011). Discovering Semantics from Visual Information. In Chia-Hung Wei and Yue Li (Eds.), Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies, Applications, and Perspectives, (pp. 116-145). Hershey, USA: Information Science Reference. [More Information]
• Mei, S., He, M., Zhang, Y., Wang, Z., Feng, D. (2011). Improving Spatial-Spectral Endmember Extraction in the Presence of Anomalous Ground Objects. IEEE Transactions on Geoscience and Remote Sensing, 49(11), 4210-4222. [More Information]
• Wang, Z., Lu, B., Chi, Z., Feng, D. (2011). Leaf Image Classification with Shape Context and SIFT Descriptors. 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2011), Piscataway, New Jersey, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Shi, F., Wang, J., Wang, Z. (2011). Region-based supervised annotation for semantic image retrieval. AEUe: International Journal of Electronics and Communication, 65(11), 929-936. [More Information]
• Guan, G., Hua, X., Wang, Z., Feng, D. (2011). StoryImaging: A media-rich presentation system for textual stories. 19th ACM International Conference on Multimedia ACM Multimedia 2011 (MM'11), New York: Association for Computing Machinery (ACM). [More Information]
• Quek, A., Wang, Z., Zhang, J., Feng, D. (2011). Structural image classification with graph neural networks. 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2011), Piscataway, New Jersey, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Wu, Q., Lu, S., Wang, Z., Deng, F., Kang, W., Feng, D. (2011). Structure Context of Local Features in Realistic Human Action Recognition. 3rd International Workshop on Video Event Categorization, Tagging and Retrieval for Real-World Applications (VECTaR2011) in conjunction with ICCV 2011, Barcelona, Spain: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

2010

• Lu, S., Wang, Z., Wang, M., Ott, M., Feng, D. (2010). Adaptive Reference Frame Selection for Near-Duplicate Video Shot Detection. 2010 IEEE 17th International Conference on Image Processing (ICIP 2010), USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Cheung, H., Siu, W., Feng, D., Wang, Z. (2010). An efficient retinex-like brightness normalization method for coding camera flashes and strong brightness variation in videos. Signal Processing: Image Communication, 25(3), 143-162. [More Information]
• Zhang, L., Wang, Z., Feng, D. (2010). Efficient high-dimensional retrieval in structured P2P networks. AdMIRe 2010: 2nd International Workshop on Advances in Music Information Research, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Yu, K., Wang, Z., Zhuo, L., Feng, D. (2010). Harvesting Web Images for Realistic Facial Expression Recognition. 2010 Digital Image Computing:Techniques and Applications (DICTA 2010), USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Wang, Z., Yi, H., Wang, J., Feng, D. (2010). Hierarchical Gaussian Mixture Model for Image Annotation via PLSA. 5th International Conference on Image and Graphics (ICIG 2009), Los Alamitos, CA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Qiu, Y., Guan, G., Wang, Z., Feng, D. (2010). Improving News Video Annotation with Semantic Context. 2010 Digital Image Computing:Techniques and Applications (DICTA 2010), USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Mei, S., He, M., Wang, Z., Feng, D. (2010). Mixture Analysis by Multichannel Hopfield Neural Network. IEEE Geoscience and Remote Sensing Letters, 7(3), 455-459. [More Information]
• Wu, Q., Wang, Z., Deng, F., Feng, D. (2010). Realistic Human Action Recognition with Audio Context. 2010 Digital Image Computing:Techniques and Applications (DICTA 2010), USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Mei, S., He, M., Wang, Z., Feng, D. (2010). Spatial Purity Based Endmember Extraction for Spectral Mixture Analysis. IEEE Transactions on Geoscience and Remote Sensing, 48(9), 3434-3445. [More Information]
• Niu, J., Wang, Z., Feng, D. (2010). Two-Step Similarity Matching For Content-Based Video Retrieval in P2P Networks. 6th IEEE International Workshop on Networking Issues in Multimedia Entertainment (NIME'10), USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Dong, P., Wang, Z., Zhuo, L., Feng, D. (2010). Video Summarization with Visual and Semantic Features. 11th Pacific-Rim Conference on Multimedia (PCM 2010), Germany: Springer. [More Information]

2009

• Guan, G., Wang, Z., Tian, Q., Feng, D. (2009). Improved Concept Similarity Measuring in the Visual Domain. 2009 International Workshop on Multimedia Signal Processing (MMSP-09), USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Pavel, F., Wang, Z., Feng, D. (2009). Reliable Object Recognition using SIFT Features. 2009 International Workshop on Multimedia Signal Processing (MMSP-09), USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Mei, S., He, M., Wang, Z., Feng, D. (2009). Spectral-Spatial Endmember Extraction by Singular Value Decomposition for AVIRIS data. 4th IEEE Conference on Industrial Electronics and Applications ICIEA 2009, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Zhang, L., Wang, Z., Feng, D. (2009). Two-Level Indexing for High-Dimensional Range Queries in Peer-to-Peer Networks. 2009 International Workshop on Multimedia Signal Processing (MMSP-09), USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

2008

• Cheung, H., Siu, W., Feng, D., Wang, Z. (2008). Constrained one-bit transform for retinex based motion extimation for sequences with brightness variations. 2008 IEEE International Conference on Neural Networks and Signal Processing (ICNNSP 2008), USA: Institute of Electrical and Electronics Engineers (IEEE).
• Wang, Z., Siu, W., Feng, D. (2008). Image annotation with parametric mixture model based multi-class multi-labeling. 2008 IEEE 10th Workshop on Multimedia Signal Processing (MMSP 2008), USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Wang, Z., Guan, G., Wang, J., Feng, D. (2008). Measuring semantic similarity between concepts in visual domain. 2008 IEEE 10th Workshop on Multimedia Signal Processing (MMSP 2008), USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Kim, J., Wang, Z., Cai, W., Feng, D. (2008). Multimedia for Future Health - Smart Medical Home. In D Feng (Eds.), Biomedical Information Technology, (pp. 497-512). San Diego, USA: Academic Press. [More Information]
• Cheung, H., Siu, W., Feng, D., Wang, Z. (2008). Retinex based motion extimation for sequences with brightness variations and its application to H.264. IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP 2008, United States: Institute of Electrical and Electronics Engineers (IEEE).
• Cheung, H., Siu, W., Feng, D., Wang, Z. (2008). Windowing Technique for the DCT Based Retinex Algorithm to Handle Videos with Brightness Variations Coded Using the H.264. 15th IEEE International Conference on Image Processing ICIP 2008, United States: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

2007

• Zhuo, L., Gao, X., Wang, Z., Feng, D., Shen, L. (2007). A Novel Rate-Quality Model based H.264/AVC Frame Layer Rate Control Method. Sixth International Conference on Information, Communications and Signal Processing ICICS 2007, United States: Institute of Electrical and Electronics Engineers (IEEE).
• Wang, Z., Lam, K., Zhuo, L., Feng, D. (2007). Concept Constrained Image Region Annotation. 2007 IEEE 9th International Workshop on Multimedia Signal Processing (MMSP 2007), USA: Institute of Electrical and Electronics Engineers (IEEE).
• Xie, B., Wang, Z., Wang, J. (2007). Shape Classification using Hidden Markov Model and structural feature. The Fifth International Symposium on Multispectral Image Processing and Pattern Recognition, USA: SPIE - International Society for Optical Engineering.

2006

• Wang, Z., Feng, D., Chi, Z., Xia, T. (2006). Annotating Image Regions Using Spatial Context. Eighth IEEE International Symposium on Multimedia ISM 2006, United States: Institute of Electrical and Electronics Engineers (IEEE).
• Wang, Z., Feng, D. (2006). Utilizing Structural Context for Region Classification. 4th IFIP International Conference on Intelligent Information Processing, New York: Springer.

2004

• Wang, Z., Feng, D., Chi, Z. (2004). Comparison of Image Partition Methods for Adaptive Image Categorization Based on Structural Image Representation. 8th International Conference on Control, Automation, Robotics and Vision ICARCV 2004, United States: Institute of Electrical and Electronics Engineers (IEEE).

2003

• Wang, Z., Chi, Z., Feng, D., AH CHUNG, T. (2003). Content-Based Image Retrieval With Relevance Feedback Using Adaptive Processing of Tree-Structure Image Representation. International Journal of Image and Graphics, 3(1), 119-143.
• Cho, S., Chi, Z., Wang, Z., Siu, W. (2003). Efficient learning in adaptive processing of data structures. Neural Processing Letters, 17(2), 175-190. [More Information]
• Wang, Z., Chi, Z., Feng, D. (2003). Leaf image retrieval using combined shape feature sets with fuzzy integral. Chinese Journal Of Electronics, 11, 572-578.
• Wang, Z., Feng, D., Chi, Z. (2003). Region-Based Binary Tree Representation for Image Classification. 2003 International Conference on Neural Networks & Signal Processing, United States: Institute of Electrical and Electronics Engineers (IEEE).
• Hong, A., Chi, Z., Chen, G., Wang, Z. (2003). Region-of-interest based flower images retrieval. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'03).
• Wang, Z., Chi, Z., Feng, D. (2003). Shape Based Leaf Image Retrieval. IEE Proceedings-Vision Image and Signal Processing, 150(1), 34-43. [More Information]

2002

• Wang, Z., Chi, Z., Feng, D. (2002). Fuzzy Integral for Leaf Image Retrieval. 2002 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'02). Institute of Electrical and Electronics Engineers (IEEE).
• Wang, Z., Hagenbuchner, M., Tsoi, A., Cho, S., Chi, Z. (2002). Image Classification with Structured Self-Organization Map. 2002 International Joint Conference on Neural Networks (IJCNN2002).
• Cho, S., Wang, Z., Chi, Z., Siu, W. (2002). Robust Learning in Adaptive Processing of Data Structures for Tree Representation based Images Classification. 9th International Conference on Neural Information Processing (ICONIP''02) 4th Asia Pacific Conference on Simulated Evolution and Learning (SEAL''02) 1st International Conference on Fuzzy Systems and Knowledge Discovery (FSKD''02), Singapore: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore.
• Wang, Z., Chi, Z., Feng, D. (2002). Structural Representation and BPTS Learning for Shape Classification. 9th International Conference on Neural Information Processing (ICONIP''02) 4th Asia Pacific Conference on Simulated Evolution and Learning (SEAL''02) 1st International Conference on Fuzzy Systems and Knowledge Discovery (FSKD''02), Singapore: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore.

2001

• Wang, Z., Chi, Z., Feng, D., Cho, S. (2001). Adaptive Processing of Tree-Structure Image Representation. In Shum, H-Y, Liao, M and Chang, S-F (Eds.), Advances in Multimedia Information Processing-PCM 2001: Second IEEE Pacific Rim Conference on Multimedia, Beijing, China, October 24-26, 2001 Proceedings, (pp. 989-995). Germany: Springer.

2000

• Wang, Z., Chi, Z., Feng, D. (2000). Content-based image retrieval using block-constrained fractal coding and nona-tree decomposition. IEE Proceedings-Vision Image and Signal Processing, 147(1), 9-15. [More Information]