You can also browse my Google Scholar profile or Research Gate homepage.

Journal Articles:

  1. Yanjun Chen, Ying Li*, *Chongyang Zhang**, Hao Zhou, Yan Luo, Chuanping Hu. “Informed Patch Enhanced HyperGCN for skeleton-based action recognition”. Information Processing and Management, 2022, 59(4): 102950. [pdf]
  2. Ying Li, Zixuan Guo, Hengheng Zhang, Mengjing Li, Genlin Ji. “Decoupled Pose and Similarity Based Graph Neural Network for Video Person Re-Identification”. IEEE Signal Processing Letters, 2021, 29: 264-268. [pdf]
  3. Tao Yao, Yiru Li, Weili Guan, Gang Wang, Ying Li, Lianshan Yan, Qi Tian. “Discrete Robust Matrix Factorization Hashing for Large-scale Cross-media Retrieval”. IEEE Transactions on Knowledge and Data Engineering, 2021. DOI: 10.1109/TKDE.2021.3107489. [pdf]
  4. Hengheng Zhang, Ying Li*, Zijie Zhuang, Lingxi Xie, Qi Tian. “3D-GAT: 3D-Guided Adversarial Transform Network for Person Re-identification in Unseen Domains”. Pattern Recognition, 112 (107799), 2021. [pdf]
  5. Xin Chen, Ying Li*. “Deep Feature Learning with Manifold Embedding for Robust Image Retrieval”. Algorithms, 2020, 13(12): 318. [pdf]
  6. Ying Li, Xiangwei Kong, Haiyan Fu, Qi Tian. “Node-sensitive Graph Fusion via Topo-correlation for Image Retrieval”. IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 10, pp. 3777–3787, Oct. 2020, doi: 10.1109/TCSVT.2019.2944009. [pdf]
  7. Ying Li, Xiangwei Kong, Haiyan Fu, Qi Tian. “Aggregating Hierarchical Binary Activations for Image Retrieval”. Neurocomputing, 2018, 314: 65-77. [pdf]
  8. Ying Li, Xiangwei Kong, Haiyan Fu. “Exploring geometric information in CNN for image retrieval”. Multimedia Tools and Applications, 2019, 78(21): 30585–30598. [pdf]
  9. Ying Li, Xiangwei Kong, Haiyan Fu, Qi Tian. “Contextual Modeling on Auxiliary Points for Robust Image Reranking”. Frontiers of Computer Science, 2019, 13(5): 1010–1022. [pdf]
  10. Shaoyan Sun, Ying Li, Wengang Zhou, Qi Tian, Houqiang Li. “Local Residual Similarity for Image Re-ranking”. Information Sciences, 2017, 417: 143-153. [pdf]
  11. Ying Li, Bo Wang, Xiangwei Kong, Yanqing Guo. “Image Tampering Detection Using No-Reference Image Quality Metrics”. Journal of Harbin Institute of Technology (New Series), 2014. (an extension of my ICDFI 2014 paper) [pdf]

Conference Papers:

  1. Ying Li, Hongwei Zhou, Yeyu Yin, Jiaquan Gao. “Multi-label Pattern Image Retrieval via Attention Mechanism Driven Graph Convolutional Network”. Proceedings of the 29th ACM International Conference on Multimedia (ACM MM), Chengdu, China, Oct. 20-24, 2021, pages 300-308. (Oral)
  2. Haiyan Fu, Ying Li*, Hengheng Zhang, Jinfeng Liu, Tao Yao. “Rank-embedded Hashing for Large-scale Image Retrieval”. In ICMR ’20: ACM International Conference on Multimedia Retrieval, Dublin, Ireland, 2020: 563-570. [pdf]
  3. Jingjing Han, Mingyu Liu, Genlin Ji, Bin Zhao, Richen Liu, Ying Li. “Efficient Semantic Enrichment Process for Spatiotemporal Trajectories in Geospatial Environment.” APWeb-WAIM 2020, pp. 342-350, 2020. [pdf]
  4. Ying Li, Xiangwei Kong, Liang Zheng, Qi Tian. “Exploiting Hierarchical Activations of Neural Network for Image Retrieval”. Proceedings of the 2016 ACM on Multimedia Conference (ACM MM), Amsterdam, Netherland, 2016: 132-136. [pdf]
  5. Dekui Ma, Jian Liang, Xiangwei Kong, Ran He, Ying Li. “Discrete Cross-Modal Hashing for Efficient Multimedia Retrieval.” Multimedia (ISM), 2016 IEEE International Symposium on. IEEE, 2016: 38-43. (Best paper candidate award) [pdf]
  6. Han Wu, Xiangwei Kong, Hongxue Yang, Ying Li. “Sparse Feature Preservation for Relative Attribute Learning.” Multimedia (ISM), 2016 IEEE International Symposium on. IEEE, 2016: 385-390. [pdf]