Staff profile

Yang Long is an Assistant Professor in the Department of Computer Science, Durham University. He is also an MRC Innovation Fellow aiming to design scalable AI solutions for large-scale healthcare applications. His research background is in the highly interdisciplinary field of Computer Vision and Machine Learning. While he is passionate about unveiling the black-box of AI brain and transferring the knowledge to seek Scalable, Interactable, Interpretable, and sustainable solutions for other disciplinary researches, e.g. physical activity, mental health, design, education, security, and geoengineering. He has authored/co-authored 20+ top-tier papers in refereed journals/conferences such as IEEE TPAMI, TIP, CVPR, AAAI, and ACM MM, and holds a patent and a Chinese National Grant.

Conference Paper

• Aduragba, Tahir Olanrewaju, Yu, Jialin, Cristea, Alexandra I. & Long, Yang (2023), Improving Health Mention Classification through Emphasising Literal Meanings: a Study Towards Diversity and Generalisation for Public Health Surveillance, TheWebConf2023. Austin, Texas, ACM.
• Huang, Yan, Long, Yang & Wang, Liang (2019), Few-Shot Image and Sentence Matching via Gated Visual-Semantic Embedding, Thirty-Second AAAI Conference on Artificial Intelligence. Thirty-Second AAAI Conference on Artificial Intelligence, 5342-5349.
• Mao, Huaqi, Zhang, Haofeng, Long, Yang, Wang, Shidong & Yang, Longzhi (2019), A General Transductive Regularizer for Zero-Shot Learning, BMVC.
• Wang, Junyan, Hu, Bingzhang, Long, Yang & Guan, Yu (2019), Order Matters: Shuffling Sequence Generation for Video Prediction, BMVC.
• Long, Yang, Liu, Li, Shen, Yuming & Shao, Ling (2018), Towards affordable semantic searching: Zero-shot retrieval via dominant attributes, Thirty-Second AAAI Conference on Artificial Intelligence. Thirty-Second AAAI Conference on Artificial Intelligence, 7210-7217.
• Cai, Ziyuni, Long, Yang & Shao, Ling (2018), Adaptive Visual-Depth Fusion Transfer, ACCV.
• Zhu, Yi, Long, Yang, Guan, Yu, Newsam, Shawn & Shao, Ling (2018), Towards Universal Representation for Unseen Action Recognition, IEEE Conference on Computer Vision and Pattern Recognition 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) IEEE; CVF; IEEE Comp Soc. 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, 9436-9445.
• Guan, Congying, Qin, Shengfeng, Ling, Wessie & Long, Yang (2018), Enhancing apparel data based on fashion theory for developing a novel apparel style recommendation system, World Conference on Information Systems and Technologies Springer, Cham. 31-40.
• Long, Yang, Tan, Yao, Organisciak, Daniel, Yang, Longzhi & Shao, Ling (2018), Towards light-weight annotations: Fuzzy interpolative reasoning for zero-shot image classification, BMVC.
• Long, Yang, Liu, Li, Shao, Ling, Shen, Fumin, Ding, Guiguang & Han, Jungong (2017), From Zero-shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis, Computer Vision and Pattern Recognition IEEE.
• Long, Yang & Shao, Ling (2017), Describing unseen classes by exemplars: Zero-shot learning using grouped simile ensemble, 2017 IEEE winter conference on applications of computer vision (WACV) IEEE. 907-915.
• Long, Yang & Shao, Ling (2017), Learning to recognise unseen classes by a few similes, Proceedings of the 25th ACM international conference on Multimedia ACM. 636-644.
• Long, Yang, Liu, Li & Shao, Ling (2017), Towards fine-grained open zero-shot learning: Inferring unseen visual features from attributes, 2017 IEEE Winter Conference on Applications of Computer Vision (WACV) IEEE. 944-952.
• Long, Yang, Liu, Li & Shao, Ling (2016), Attribute embedding with visual-semantic ambiguity removal for zero-shot learning, BMVC.

Doctoral Thesis

• Long, Yang (2017). Zero-shot Image Classification. University of Sheffield. PhD.

Journal Article

• Duan, Haoran, Long, Yang, Wang, Shidong, Zhang, Haofeng, Willcocks, Chris G. & Shao, Ling (2023). Dynamic Unary Convolution in Transformers. IEEE Transactions on Pattern Analysis and Machine Intelligence
• Wang, Rui, Wei, Zhihua, Duan, Haoran, Ji, Shouling, Long, Yang & Hong, Zhen (2022). EfficientTDNN: Efficient Architecture Search for Speaker Recognition. IEEE/ACM Transactions on Audio, Speech, and Language Processing 30: 2267-2279.
• Bond-Taylor, Sam, Leach, Adam, Long, Yang & Willcocks, Chris G. (2022). Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models. IEEE Transactions on Pattern Analysis and Machine Intelligence 44(11): 7327 - 7347.
• Zarei, Mohammad Reza, Taheri, Mohammad & Long, Yang (2021). Kernelized distance learning for zero-shot recognition. Information Sciences 580: 801-818.
• Zhang, Haofeng, Bai, Haoyue, Long, Yang, Liu, Li & Shao, Ling (2021). A plug-in attribute correction module for generalized zero-shot learning. Pattern Recognition 112: 107767.
• Zhang, Haofeng, Wang, Yinduo, Long, Yang, Yang, Longzhi & Shao, Ling (2021). Modality independent adversarial network for generalized zero shot image classification. Neural Networks 134: 11-22.
• Zhang, Haofeng, Liu, Jingren, Yao, Yazhou & Long, Yang (2020). Pseudo Distribution on Unseen Classes for Generalized Zero Shot Learning. Pattern Recognition Letters 135: 451-458.
• Zhang, Haofeng, Liu, Li, Long, Yang, Zhang, Zheng & Shao, Ling (2020). Deep transductive network for generalized zero shot learning. Pattern Recognition 105: 107370.
• Li, Jin, Lan, Xuguang, Long, Yang, Liu, Yang, Chen, Xingyu, Shao, Ling & Zheng, Nanning (2020). A Joint Label Space for Generalized Zero-Shot Classification. IEEE Transactions on Image Processing 29: 5817-5831.
• Wang, Yinduo, Zhang, Haofeng, Zhang, Zheng, Long, Yang & Shao, Ling (2020). Learning discriminative domain-invariant prototypes for generalized zero shot learning. Knowledge-Based Systems 196: 105796.
• Zhang, Haofeng, Liu, Li, Long, Yang, Zhang, Zheng & Shao, Ling (2020). Semantic combined network for zero-shot scene parsing. Pattern Recognition
• Zhang, Haofeng, Mao, Huaqi, Long, Yang, Yang, Wankou & Shao, Ling (2020). A Probabilistic Zero-Shot Learning Method via Latent Nonnegative Prototype Synthesis of Unseen Classes. IEEE Transactions on Neural Networks and Learning Systems 31(7): 2361-2375.
• Wang, Yinduo, Zhang, Haofeng, Wang, Shidong, Long, Yang & Yang, Longzhi (2020). Semantic combined network for zero-shot scene parsing. IET Image Processing 14(4): 757765.
• Angelini, Federico, Fu, Zeyu, Long, Yang, Shao, Ling & Naqvi, Syed Mohsen (2020). 2D Pose-Based Real-Time Human Action Recognition With Occlusion-Handling. IEEE Transactions on Multimedia 22(6): 1433-1446.
• Zhou, Lingli, Zhang, Haofeng, Long, Yang, Shao, Ling & Yang, Jingyu (2019). Depth Embedded Recurrent Predictive Parsing Network for Video Scenes. IEEE Transactions on Intelligent Transportation Systems 20(12): 4643-4654.
• Gao, Yan, Long, Yang, Guan, Yu, Basu, Anna, Baggaley, Jessica & Ploetz, Thomas (2019). Towards Reliable, Automated General Movement Assessment for Perinatal Stroke Screening in Infants Using Wearable Accelerometers. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 3(1): 12.
• Zhang, Haofeng, Long, Yang, Liu, Li & Shao, Ling (2019). Adversarial unseen visual feature synthesis for Zero-shot Learning. NEUROCOMPUTING 329: 12-20.
• Zhang, Haofeng, Long, Yang, Yang, Wankou & Shao, Ling (2019). Dual-verification network for zero-shot learning. INFORMATION SCIENCES 470: 43-57.
• Zhang, Haofeng, Long, Yang & Shao, Ling (2019). Zero-shot Hashing with orthogonal projection for image retrieval. PATTERN RECOGNITION LETTERS 117: 201-209.
• Long, Yang, Guan, Yu & Shao, Ling (2019). Generic compact representation through visual-semantic ambiguity removal. PATTERN RECOGNITION LETTERS 117: 186-192.
• Guan, Congying, Qin, Shengfeng & Long, Yang (2019). Apparel-based deep learning system design for apparel style recommendation. INTERNATIONAL JOURNAL OF CLOTHING SCIENCE AND TECHNOLOGY 31(3): 376-389.
• Zhang, Haofeng, Long, Yang, Guan, Yu & Shao, Ling (2019). Triple Verification Network for Generalized Zero-Shot Learning. IEEE Transactions on Image Processing 28(1): 506-517.
• Cai, Ziyun, Long, Yang & Shao, Ling (2018). Adaptive RGB Image Recognition by Visual-Depth Embedding. IEEE Transactions on Image Processing 27(5): 2471-2483.
• Zhang, Haofeng, Long, Yang & Shao, Ling (2018). Zero-shot leaning and hashing with binary visual similes. Multimedia Tools and Applications 1-19.
• Zhang, Haofeng, Long, Yang & Zhao, Chunxia (2018). Attribute relaxation from class level to instance level for zero-shot learning. ELECTRONICS LETTERS 54(20): 1170-1171.
• Long, Yang, Liu, Li, Shen, Fumin, Shao, Ling & Li, Xuelong (2018). Zero-Shot Learning Using Synthesised Unseen Visual Data with Diffusion Regularisation. IEEE Transactions on Pattern Analysis and Machine Intelligence 40(10): 2498-2512.
• Zhang, Haofeng, Liu, Li, Long, Yang & Shao, Ling (2018). Unsupervised Deep Hashing With Pseudo Labels for Scalable Image Retrieval. IEEE TRANSACTIONS ON IMAGE PROCESSING 27(4): 1626-1638.
• Long, Yang, Guan, Yu & Shao, Ling (2018). Generic compact representation through visual-semantic ambiguity removal. Pattern Recognition Letters 186: 192.
• Long, Yang, Zhu, Fan, Shao, Ling & Han, Junwei (2018). Face recognition with a small occluded training set using spatial and statistical pooling. INFORMATION SCIENCES 430: 634-644.
• Long, Yang, Zhu, Fan & Shao, Ling (2016). Recognising occluded multi-view actions using local nearest neighbour embedding. Computer Vision and Image Understanding 144: 36-45.