Cheng Yan 严 程


        Ph.D, Associate Professor         College of Intelligence and Computing         Tianjin University


        Office:Room B529, No.55 Building         Address:Peiyang Park Campus, Jinnan District, Tianjin, 300350         Email:yancheng_work@tju.edu.cn

 

 

Research Interests


Computer Vision, Pattern Recognition, Machine Learning

 

Publications


  1. Shiyu Zhang, Cheng Yan, Yang Liu, Chenchen Jing, Lei Zhou, Wenjun Wang. Learning Visual Proxy for Compositional Zero-Shot Learning [C]. ICCV, 2025.(CCF-A, Poster)

  2. Min Chen, Guansong Pang, Wenjun Wang, Cheng Yan. Information Bottleneck-guided MLPs for Robust Spatial-temporal Forecasting [C]. ICML, 2025.(CCF-A, Poster)

  3. Zhe Shan, Yang Liu, Lei Zhou, Cheng Yan, Heng Wang, Xia Xie. Ros-sam: High-quality interactive segmentation for remote sensing moving object [C]. CVPR, 2025.(CCF-A, Poster)

  4. Cheng Yan, Shiyu Zhang, Yang Liu, Guansong Pang, Wenjun Wang. Feature Prediction Diffusion Model for Video Anomaly Detection [C]. ICCV, 2023. (CCF-A, Poster)

  5. Aoni Zhu, Wenjun Wang, Cheng Yan. Flow-Guided Diffusion Autoencoder for Unsupervised Video Anomaly Detection [C]. PRCV, 2023. (CCF-C, Oral)

  6. Cheng Yan, Guansong Pang, Jile Jiao, Xiao Bai, Xuetao Feng, Chunhua Shen. Occluded person re-identification with single-scale global representations [C]. ICCV, 2021. (CCF-A, Oral)

  7. Cheng Yan, Guansong Pang, Lei Wang, Jile Jiao, Xuetao Feng, Chunhua Shen, Jingjing Li. BV-person: a large-scale dataset for bird-view person re-identification [C]. ICCV 2021. (CCF-A, Poster)

  8. Jingjing Li, Wei Ji, Qi Bi, Cheng Yan, Miao Zhang, Yongri Piao, Huchuan Lu. Joint semantic mining for weakly supervised RGB-D salient object detection [C]. NIPS, 2021.(CCF-A, Poster)

  9. Cheng Yan, Guansong Pang, Xiao Bai, Changhong Liu, Xin Ning, Lin Gu, Jun Zhou. Beyond triplet loss: person re-identification with fine-grained difference-aware pairwise loss [J]. TMM 2021. (SCI Q1, IF:8.18)

  10. Guansong Pang, Cheng Yan, Chunhua Shen, Anton van den Hengel, Xiao Bai. Self-trained deep ordinal regression for end-to-end video anomaly detection [C]. CVPR, 2020. (CCF-A, Poster)

  11. Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen, Jun Zhou, Edwin Hancock. Deep hashing by discriminating hard examples [C]. ACMMM, 2019. (CCF-A, Oral)

  12. Xiao Bai, Cheng Yan, Haichuan Yang, Lu Bai, Jun Zhou, Edwin Robert Hancock. Adaptive hash retrieval with kernel based similarity [J]. Pattern Recognition, 2018. (SCI Q1, IF:8.51)

  13. Cheng Yan, Xiao Bai, Jun Zhou, Yun Liu. Cross-modal hashing with semantic deep embedding [J]. Neurocomputing, 2018. (SCI Q2, IF:6.00)

  14. Cheng Yan, Xiao Bai, Shuai Wang, Jun Zhou, Edwin R Hancock. Hierarchical Hashing for Image Retrieval [C]. PRCV, 2017. (CCF-C, Oral)

  15. Yanzhen Liu, Xiao Bai, Cheng Yan, Jun Zhou. Bilinear discriminant analysis hashing: A supervised hashing approach for high-dimensional data [C]. ACCV 2016. (CCF-C, Oral)

  16. Cheng Yan, Xiao Bai, Peng Ren, Lu Bai, Wenzhong Tang, Jun Zhou. Band weighting via maximizing interclass distance for hyperspectral image classification [J]. IEEE GRSL, 2016.(SCI Q1, IF:5.34)

  17. Cheng Yan, Peng Ren, Lu Bai, Jun Zhou. Discriminative sparse neighbor coding [J]. MTAP, 2016. (SCI Q2, IF:3.6)

Projects


Principal Investigator