| A simplified multi-class support vector machine with reduced dual optimization X He, Z Wang, C Jin, Y Zheng, X Xue Pattern Recognition Letters 33 (1), 71-82, 2012 | 62 | 2012 |
| Learning attention map from images Y Lu, W Zhang, C Jin, X Xue 2012 IEEE Conference on Computer Vision and Pattern Recognition, 1067-1074, 2012 | 35 | 2012 |
| Sketch-based image retrieval with deep visual semantic descriptor F Huang, C Jin, Y Zhang, K Weng, T Zhang, W Fan Pattern Recognition 76, 537-548, 2018 | 30 | 2018 |
| Cross-Modal Image Clustering via Canonical Correlation Analysis C Jin, W Mao, R Zhang, Y Zhang, X Xue Twenty-Ninth AAAI Conference on Artificial Intelligence, 151-159, 2015 | 29 | 2015 |
| Tracking user-preference varying speed in collaborative filtering R Li, B Li, C Jin, X Xue, X Zhu Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 133-138, 2011 | 22 | 2011 |
| A Hierarchical Multimodal Attention-based Neural Network for Image Captioning Y Cheng, F Huang, L Zhou, C Jin, Y Zhang, T Zhang Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 21 | 2017 |
| Fully convolutional video captioning with coarse-to-fine and inherited attention K Fang, L Zhou, C Jin, Y Zhang, K Weng, T Zhang, W Fan proceedings of the AAAI conference on artificial intelligence 33 (01), 8271-8278, 2019 | 16 | 2019 |
| Incorporating spatial correlogram into bag-of-features model for scene categorization Y Zheng, H Lu, C Jin, X Xue Computer Vision–ACCV 2009: 9th Asian Conference on Computer Vision, Xi’an …, 2010 | 16 | 2010 |
| Deep Multimodal Embedding Model for Fine-grained Sketch-based Image Retrieval F Huang, Y Cheng, C Jin, Y Zhang, T Zhang Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 15 | 2017 |
| An improved generalized discriminant analysis for large-scale data set W Shi, YF Guo, C Jin, X Xue 2008 Seventh International Conference on Machine Learning and Applications …, 2008 | 15 | 2008 |
| CPCGAN: A Controllable 3D Point Cloud Generative Adversarial Network with Semantic Label Generating X Yang, Y Wu, K Zhang, C Jin Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 3154-3162, 2021 | 14 | 2021 |
| Attention-based transformation from latent features to point clouds K Zhang, X Yang, Y Wu, C Jin Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 3291-3299, 2022 | 13 | 2022 |
| Safe distillation box J Ye, Y Mao, J Song, X Wang, C Jin, M Song Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 3117-3124, 2022 | 12 | 2022 |
| TripletGAN: Training Generative Model with Triplet Loss G Cao, Y Yang, J Lei, C Jin, Y Liu, M Song arXiv preprint arXiv:1711.05084, 2017 | 12 | 2017 |
| GLTA-GCN: Global-Local Temporal Attention Graph Convolutional Network for Unsupervised Skeleton-Based Action Recognition H Qiu, Y Wu, MM Duan, C Jin 2022 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2022 | 11 | 2022 |
| ETR: An Efficient Transformer for Re-Ranking in Visual Place Recognition H Zhang, X Chen, H Jing, Y Zheng, Y Wu, C Jin Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 10 | 2023 |
| A Novel Visual-Region-Descriptor-based Approach to Sketch-based Image Retrieval C Jin, Z Wang, T Zhang, Q Zhu, Y Zhang Proceedings of the 5th ACM on International Conference on Multimedia …, 2015 | 10 | 2015 |
| 高并发集群监控系统中内存数据库的设计与应用 周游弋， 董道国， 金城 计算机应用与软件 28 (6), 128-130, 2011 | 9 | 2011 |
| An effective method for video genre classification JF Chen, H Lu, R Wei, C Jin, X Xue Proceedings of the ACM International Conference on Image and Video Retrieval …, 2010 | 9 | 2010 |
| Integrating hierarchical feature selection and classifier training for multi-label image annotation C Jin, C Yang Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011 | 8 | 2011 |
