International Journals

1.Hongsong Wang and Liang Wang, “Beyond Joints: Learning Representations from Primitive Geometries for Skeleton-based Action Recognition and Detection,” IEEE Trans. on Image Processing, vol. 27, no. 9, pp. 4382-4394, 2018. 2.Yunlong Wang, Fei Liu, Kunbo Zhang, Guangqi Hou, Zhenan Sun and Tieniu Tan, “LFNet: A Novel Bidirectional Recurrent Convolutional Neural Network for Light-Field Image Super-Resolution,” in IEEE Transactions on Image Processing, vol. 27, no. 9, pp. 4274-4286, Sept. 2018. 3.Lingxiao He, Haiqing Li, Qi Zhang, and Zhenan Sun, “Dynamic Feature Matching for Partial Face Recognition”, IEEE Transactions on Image Processing, Vol. 28, No. 2, pp.791-802, 2019. 4.Jufeng Yang, Dongyu She, Ming Sun, Ming-Ming Cheng, Paul L. Rosin, and Liang Wang, “Visual Sentiment Prediction Based on Automatic Discovery of Affective Regions,” IEEE Transactions on Multimedia, Vol. 20, No. 9, pp.2513-2525, 2018. 5.Peng Xu, Qiyue Yin, Yongye Huang, Yi-Zhe Song, Zhanyu Ma, Liang Wang, Tao Xiang, W. Bastiaan Kleijn, and Jun Guo, “Cross-modal subspace learning for fine-grained sketch-based image retrieval,” Neurocomputing, vol.278, pp.75-86, 2018. 6.Hongsong Wang and Liang Wang, “Learning Content and Style: Joint Action Recognition and Person Identification from Human Skeletons,” Pattern Recognition, vol. 81, pp. 23-35, 2018. 7.Yan Huang, Wei Wang and Liang Wang, “Video Super-Resolution via Bidirectional Recurrent Convolutional Networks,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 40，no. 4, pp. 1015-1028, 2018. 8.Qiyue Yin, Shu Wu, Junge Zhang and Liang Wang, “Multi-view Clustering via Unified and View Specific Embeddings Learning,” IEEE Trans. on Neural Networks and Learning Systems, vol.29, no.11, pp. 5541-5553, 2018. 9.Ran He, Tieniu Tan, Larry Davis and Zhenan Sun, “Learning Structured Ordinal Measures for Video based Face Recognition,” Pattern Recognition, vol. 75, pp. 4-14, 2018. 10.Shu Zhang, Ran He, Zhenan Sun and Tieniu Tan, “DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification,” IEEE Trans. on Information Forensics and Security, vol. 13, no. 3, pp. 637-647, 2018. 11.Bo Peng, Wei Wang, Jing Dong and Tieniu Tan, “Image Forensics Based on Planar Contact Constraints of 3D Objects,” IEEE Trans. on Information Forensics and Security, vol. 13, no. 2, pp. 377-392, 2018. 12.Yunlian Sun, Man Zhang, Zhenan Sun and Tieniu Tan, “Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 40, no. 2, pp. 332-351, 2018. 13.Hongwen Zhang, Qi Li, Zhenan Sun, and Yunfan Liu, “Combining Data-driven and Model-driven Methods for Robust Facial Landmark Detection,” IEEE Transactions on Information Forensics and Security, vol. 13, no. 10, pp. 2409-2422, Oct. 2018. 14.Jie Gui, Tongliang Liu, Zhenan Sun, Dacheng Tao and Tieniu Tan, “Fast Supervised Discrete Hashing,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 40, no. 2, pp. 490-496, 2018. 15.Jie Gui, Tongliang Liu, Zhenan Sun, Dacheng Tao and Tieniu Tan, “Supervised Discrete Hashing With Relaxation,” IEEE Trans. on Neural Networks and Learning Systems, vol. 29, no. 3, pp. 608-617, 2018. 16.Dong Wang, Ran He, Liang Wang and Tieniu Tan, “Robust Linear Representation via Exploiting Structure Prior,” Pattern Recognition, vol. 76, pp. 560-568, 2018. 17.Weiqi Zhao, Zhang Zhang and Kaiqi Huang, “Gestalt laws based tracklets analysis for human crowd understanding,” Pattern Recognition, vol. 75, pp. 112-127, 2018. 18.Qi Zhang, Haiqing Li, Zhenan Sun, and Tieniu Tan, “Deep Feature Fusion for Iris and Periocular Biometrics on Mobile Devices,” IEEE Transactions on Information Forensics and Security (TIFS), vol. 13, no. 11, pp. 2897-2912, 2018. 19.Xiang Wu, Ran He, Zhenan Sun and Tieniu Tan, “A Light CNN for Deep Face Representation with Noisy Labels,” IEEE Transactions on Information Forensics and Security, vol. 13, no. 11, pp. 2884-2896, 2018. 20.Deepak Kumar Jain, Zhang Zhang, and Kaiqi Huang, “Random walk-based feature learning for micro-expression recognition,” Pattern Recognition Letters, vol.115, pp.92-100, 2018. 21.Chi Zhang, Guangqi Hou, Zhaoxiang Zhang, Zhenan Sun, and Tieniu Tan, “Efficient auto-refocusing for light field camera,” Pattern Recognition, vol.81, pp.176-189, 2018. 22.Yuchun Fang, Qiulong Yuan, and Zhaoxiang Zhang, “On the role of sparsity in feature selection and an innovative method LRMI,” Neurocomputing, vol.321, pp.237-250, 2018. 23.Zhaoxiang Zhang, Jiaxin Chen, Qiang Wu, and Ling Shao, “GII Representation-Based Cross-View Gait Recognition by Discriminative Projection with List-Wise Constraints,” IEEE Transactions on Cybernetics, vol.48, no.10, pp.2935-2947, 2018. 24.Qiang Liu, Feng Yu, Shu Wu and Liang Wang, “Mining Significant Microblogs for Misinformation Identification: An Attention-based Approach,” ACM Trans. on Intelligent Systems and Technology (TIST), vol. 9, no. 5, pp. 50:1–50:20, 2018.

International Conferences

1.Chunshui Cao, Yongzhen Huang, Zilei Wang, Liang Wang, Ninglong Xu, Tieniu Tan, “Lateral Inhibition-inspired Convolutional Neural Network for Visual Attention and Saliency Detection,” Proc. AAAI Conference on Artificial Intelligence, February, Louisiana, USA. 2.Yabei Li, Junge Zhang, Yanhua Cheng, Kaiqi Huang and Tieniu Tan, “DF2Net: A Discriminative Feature Learning and Fusion Network for RGB-D Indoor Scene Classification,” Proc. AAAI Conference on Artificial Intelligence, February 2018, Louisiana, USA. 3.Yi Li, Lingxiao Song, Xiang Wu, Ran He, and Tieniu Tan, “Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification,” Proc. AAAI Conference on Artificial Intelligence, February 2018, Louisiana, USA. 4.Yan Li*, Zhen Jia*, Junge Zhang, Kaiqi Huang and Tieniu Tan, “Deep Semantic Structural Constraints for Zero-Shot Learning,” Proc. AAAI Conference on Artificial Intelligence, February 2018, Louisiana, USA. 5.Xiang Wu, Lingxiao Song, Ran He and Tieniu Tan, “oupled Deep Learning for Heterogeneous Face Recognition,” Proc. AAAI Conference on Artificial Intelligence, February 2018, Louisiana, USA. 6.Lingxiao Song, Man Zhang, Xiang Wu and Ran He, “dversarial Discriminative Heterogeneous Face Recognition,” Proc. AAAI Conference on Artificial Intelligence, February 2018, Louisiana, USA. 7.Wei Wang, Hao Wang, Zhiyong Ran and Ran He, “Information-Theoretic Domain Adaptation under Severe Noise Conditions,” Proc. AAAI Conference on Artificial Intelligence, February 2018, Louisiana, USA. 8.Wangli Hao, Zhaoxiang Zhang, and He Guan, “Integrating both Visual and Audio Cues for Enhanced Video Caption,” Proc. AAAI Conference on Artificial Intelligence, February 2018, Louisiana, USA. 9.Wangli Hao, Zhaoxiang Zhang, He Guan, “CMCGAN: A Uniform Framework for Cross-Modal Visual-Audio Mutual Generation,” Proc. AAAI Conference on Artificial Intelligence, February 2018, Louisiana, USA. 10.Yuntao Chen, Naiyan Wang, and Zhaoxiang Zhang, “DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer,” Proc. AAAI Conference on Artificial Intelligence, February 2018, Louisiana, USA. 11.Yue Xu, Fei Yin, Zhaoxiang Zhang and Cheng-Lin Liu, “Multi-task Layout Analysis for Historical Handwritten Documents Using Fully Convolutional Networks,” Pro. International Joint Conference on Artificial Intelligence, pp.1057-1063, July 2018, Stockholm, Sweden. 12.Yueying Kao, Weiming Li, Zairan Wang, Dongqing Zou, Ran He, Qiang Wang, Minsu Ahn and Sunghoon Hong, “An Appearance-and-Structure Fusion Network for Object Viewpoint Estimation,” Proc. International Joint Conference on Artificial Intelligence, pp.4929-4935, July 2018, Stockholm, Sweden. 13.He Guan and Zhaoxiang Zhang, “View Decomposition and Adversarial for Semantic Segmentation,” Pacific Rim International Conference on Artificial Intelligence, pp.247-255, August 2018, Nanjing, China. 14.Wu Zheng and Zhaoxiang Zhang, “Weakly-Supervised Object Localization by Cutting Background with Deep Reinforcement Learning,” Pacific Rim International Conference on Artificial Intelligence, pp.210-218, August 2018, Nanjing, China. 15.Jie Cao, Yibo Hu, Hongwen Zhang, Ran He, and Zhenan Sun, “Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization,” Proc. Conference on Neural Information Processing Systems (NIPS), pp.2869-2879, December 2018, Montreal, Canada. 16.Huaibo Huang, Zhihang Li, Ran He, Zhenan Sun, and Tieniu Tan, “IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis,” Proc. Conference on Neural Information Processing Systems (NIPS), pp.52-63, December 2018, Montreal, Canada. 17.Yibo Hu, Xiang Wu, Bin Yu, Ran He and Zhenan Sun, “Pose-Guided Photorealistic Face Rotation,” Proc. IEEE International Conference on Computer Vision and Pattern Recognition, pp. 8398-8406, June 2018, Salt Lake City, USA. 18.Yan Huang, Qi Wu, Chunfeng Song and Liang Wang, “Learning Semantic Concepts and Order for Image and Sentence Matching,” Proc. IEEE International Conference on Computer Vision and Pattern Recognition, pp. 6163-6171, June 2018, Salt Lake City, USA. 19.Houjing Huang, Dangwei Li, ZhangZhang and Kaiqi Huang, “Adversarially Occluded Samples For Improving Generalization of Person Re-identification Models,” Proc. IEEE International Conference on Computer Vision and Pattern Recognition, June 2018, Salt Lake City, USA. 20.Debang Li, Huikai Wu, Junge Zhang and Kaiqi Huang, “A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping,” Proc. IEEE International Conference on Computer Vision and Pattern Recognition, June 2018, Salt Lake City, USA. 21.Yan Li, Junge Zhang, Kaiqi Huang and Jianguo Zhang, “Discriminative Learning of Latent Features for Zero-Shot Recognition,” Proc. IEEE International Conference on Computer Vision and Pattern Recognition, June 2018, Salt Lake City, USA. 22.Huikai Wu, Shuai Zheng, Junge Zhang and Kaiqi Huang, “Fast End-to-End Trainable Guided Filter,” Proc. IEEE International Conference on Computer Vision and Pattern Recognition, June 2018, Salt Lake City, USA. 23.Lingxiao He, Jian Liang, Haiqing Li and Zhenan Sun, “Deep Spatial Feature Reconstruction for Partial Person Re-identification: Freestyle Approach,” Proc. IEEE International Conference on Computer Vision and Pattern Recognition, June 2018, Salt Lake City, USA. 24.Lingxiao He, Haiqing Li, Qi Zhang and Zhenan Sun, “Dynamic Feature Learning for Partial Face Recognition,” Proc. IEEE International Conference on Computer Vision and Pattern Recognition, June 2018, Salt Lake City, USA. 25.Chunfeng Song, Yan Huang, Wanli Ouyang and Liang Wang, “Mask-guided Contrastive Attention Model for Person Re-Identification,” Proc. IEEE International Conference on Computer Vision and Pattern Recognition, pp. 1179-1188, June 2018, Salt Lake City, USA. 26.Chenyang Si, Wei Wang, Liang Wang and Tieniu Tan, “Multistage Adversarial Losses for Pose-Based Human Image Synthesis,” Proc. IEEE International Conference on Computer Vision and Pattern Recognition, pp. 118-126, June 2018, Salt Lake City, USA. 27.Junbo Wang, Wei Wang, Yan Huang, Liang Wang and Tieniu Tan, “M^3: Multimodal Memory Modelling for Video Captioning,” Proc. IEEE International Conference on Computer Vision and Pattern Recognition, pp. 7512-7520, June 2018, Salt Lake City, USA. 28.Yunlong Wang, Fei Liu, Zilei Wang, Guangqi Hou, Zhenan Sun and Tieniu Tan,“End-to-End View Synthesis for Light Field Imaging with Pseudo 4DCNN,” Proc. Springer European Conference on Computer Vison, pp. 340-355, September 2018, Munich, Germany. 29.Chenyang Si, Ya Jing, Wei Wang, Liang Wang and Tieniu Tan, “Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning,” Proc. Springer European Conference on Computer Vison, pp. 106-121, September 2018, Munich, Germany. 30.Chenglong Li, Chengli Zhu, Yan Huang, Jin Tang and Liang Wang, “Cross-Modal Ranking with Soft Consistency and Noisy Labels for Robust RGB-T Tracking,” Proc. Springer European Conference on Computer Vision, pp.831-847, September 2018, Munich, Germany. 31.Zhihang Li, Yibo Hu, Man Zhang, Min Xu, Ran He, “Protecting Your Faces: MeshFaces Generation and Removal via High-order Relation-preserving CycleGAN,” Proc. International Conference on Biometrics, February 2018, Gold Coast, Queensland, Australia. 32.Zihui Yan, Lingxiao He, Man Zhang, Zhenan Sun, Tieniu Tan, “Hierarchical Multi-class Iris Classification for Liveness Detection,” Proc. International Conference on Biometrics, February 2018, Gold Coast, Queensland, Australia. 33.Jiabin Ma, Weiyu Guo, Wei Wang and Liang Wang, “RotateConv: Making Asymmetric Convolutional Kernels Rotatable,” Proc. International Conference on Pattern Recognition, pp.55-60, August 2018, Beijing, China. 34.Wenlong Cheng, Yan Huang and Liang Wang, “Towards Unconstrained Pointing Problem of Visual Question Answering: A Retrieval-based Method,” Proc. International Conference on Pattern Recognition, pp.3303-3308, August 2018, Beijing, China. 35.Peipei Li, Yibo Hu, Qi Li, Ran He and Zhenan Sun, “Global and Local Consistent Age Generative Adversarial Networks,” Proc. International Conference on Pattern Recognition, pp. 1073-1078, August 2018, Beijing, China. 36.Hongwen Zhang, Qi Li, and Zhenan Sun, “Joint Voxel and Coordinate Regression for Accurate 3D Facial Landmark Localization,” Proc. International Conference on Pattern Recognition, pp. 2202-2208, August 2018, Beijing, China. 37.Jiedong Hao, Jing Dong, Wei Wang, and Tieniu Tan, “DeepFirearm: Learning Discriminative Feature Representation for Fine-grained Firearm Retrieval,” Proc. International Conference on Pattern Recognition, pp. 3335-3340, August 2018, Beijing, China. 38.Wu Zheng and Zhaoxiang Zhang, “Accelerating the Classification of Very Deep Convolutional Network by A Cascading Approach,” Proc. International Conference on Pattern Recognition, pp.355-360, August 2018, Beijing, China. 39.Gangming Zhao, Zhaoxiang Zhang, He Guan, Peng Tang and Jingdong Wang, “Rethinking ReLU to Train Better CNNs,” Proc. International Conference on Pattern Recognition, pp.603-608, August 2018, Beijing, China. 40.Lin Li, Zhaoxiang Zhang, Yan Huang and Liang Wang, “Deep Temporal Feature Encoding for Video Action Recognition,” Proc. International Conference on Pattern Recognition, pp.1109-1114, August 2018, Beijing, China. 41.He Guan, Zhaoxiang Zhang and Tieniu Tan, “Inception Donut Convolution for Top-down Semantic Segmentation,” Proc. International Conference on Pattern Recognition, pp.2492-2497, August 2018, Beijing, China. 42.Yibo Hu, Lingxiao Song, Bing Yu, Ran He and Zhenan Sun, “Adversarial Embedding and Variational Aggregation for Video Face Recognition,” Proc. IEEE International Conference on Biometrics: Theory, Applications and Systems, October 2018, Los Angeles, USA. 43.Jianze Wei, Jian Liang, Ran He and Jinfeng Yang, “Learning Discriminative Geodesic Flow Kernel for Unsupervised Domain Adaptation,” Pro. IEEE International Conference on Multimedia and Expo (ICME), July 2018, San Diego, USA. 44.Junbo Wang, Wei Wang, Yan Huang, Liang Wang, and Tieniu Tan, “Hierarchical Memory Modelling for Video Captioning,” In 2018 ACM Multimedia Conference (MM’18), pp.63-71, October 2018, Seoul, Republic of Korea. 45.Zhihe Lu, Tanhao Hu, Lingxiao Song, Zhaoxiang Zhang and Ran He, “Conditional Expression Synthesis with Face Parsing Transformation,” In 2018 ACM Multimedia Conference (MM’18), pp.1083-1091, October 2018, Seoul, Republic of Korea. 46.Kui Ye, Jing Dong, Wei Wang, Bo Peng, and Tieniu Tan, “Feature Pyramid Deep Matching and Localization Network for Image Forensics,” Asia-Pacific Signal and Information Processing Association (ASPIPA) Annual Summit and Conference, November 2018, Hawaii, USA. 47.Weikuo Guo, Jian Liang, Xiangwei Kong, Lingxiao Song and Ran He, “X-GACMN: An X-Shaped Generative Adversarial Cross-Modal Network with Hypersphere Embedding,” Proc. Asian Conference on Computer Vision, December 2018, Perth, Australia. 48.Xingyu Liao, Lingxiao He, Zhouwang Yang, and Chi Zhang, “Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention,” Proc. Asian Conference on Computer Vision, December 2018, Perth, Australia.

National Conferences

1.Wei Zhang, Hongwen Zhang, Qi Li, Fei Liu, Zhenan Sun, Xin Li, and Xinxin Wan, “Cross-Cascading Regression for Simultaneous Head Pose Estimation and Facial Landmark Detection,” Proc. Chinese Conference on Pattern Recognition, pp. 148-156, August 2018, Urumqi, China. 2.Mingkang Liu, Qi Li, Zhenan Sun, and Qiyao Deng, “Face Clustering Utilizing Scalable Sparse Subspace Clustering and the Image Gradient Feature Descriptor,” Proc. Chinese Conference on Pattern Recognition, pp. 311-320, August 2018, Urumqi, China. 3.Hanzhou Wu, Wei Wang, Jing Dong, Yiliang Xiong, and Hongxia Wang, “A graph-theoretic model to steganography on social networks,” The 14th China Information Hiding Workshop (CIHW), April 2018, Nanjing, China.