| Challenges in representation learning: A report on three machine learning contests IJ Goodfellow, D Erhan, PL Carrier, A Courville, M Mirza, B Hamner, ... Neural information processing: 20th international conference, ICONIP 2013 …, 2013 | 2290 | 2013 |
| Cross-modal Retrieval with Correspondence Autoencoder F Feng, X Wang, R Li MM'14, 7-16, 2014 | 677 | 2014 |
| Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis R Li, H Chen, F Feng, Z Ma, X WANG, E Hovy ACL, 2021 | 395 | 2021 |
| Enhanced multi-channel graph convolutional network for aspect sentiment triplet extraction H Chen, Z Zhai, F Feng, R Li, X Wang Proceedings of the 60th annual meeting of the association for computational …, 2022 | 149 | 2022 |
| Deep correspondence restricted Boltzmann machine for cross-modal retrieval F Feng, R Li, X Wang Neurocomputing 154, 50-60, 2015 | 71 | 2015 |
| Exploring global and local linguistic representations for text-to-image synthesis R Li, N Wang, F Feng, G Zhang, X Wang IEEE Transactions on Multimedia 22 (12), 3075-3087, 2020 | 49 | 2020 |
| Dual-CNN: A Convolutional language decoder for paragraph image captioning R Li, H Liang, Y Shi, F Feng, X Wang Neurocomputing 396, 92-101, 2020 | 45 | 2020 |
| Correspondence autoencoders for cross-modal retrieval F Feng, X Wang, R Li, I Ahmad ACM Transactions on Multimedia Computing, Communications, and Applications …, 2015 | 39 | 2015 |
| Retrieving real world clothing images via multi-weight deep convolutional neural networks R Li, F Feng, I Ahmad, X Wang Cluster Computing 22 (Suppl 3), 7123-7134, 2019 | 32 | 2019 |
| COM-MRC: A COntext-masked machine reading comprehension framework for aspect sentiment triplet extraction Z Zhai, H Chen, F Feng, R Li, X Wang Proceedings of the 2022 conference on empirical methods in natural language …, 2022 | 28 | 2022 |
| A deformable CNN-based triplet model for fine-grained sketch-based image retrieval X Zhang, M Shen, X Li, F Feng Pattern Recognition 125, 108508, 2022 | 23 | 2022 |
| A survey on freehand sketch recognition and retrieval X Zhang, X Li, Y Liu, F Feng Image and Vision Computing 89, 67-87, 2019 | 23 | 2019 |
| Co-VQA: Answering by Interactive Sub Question Sequence R Wang, Y Qian, F Feng, X Wang, H Jiang ACL, 2022 | 22 | 2022 |
| Modality disentangled discriminator for text-to-image synthesis F Feng, T Niu, R Li, X Wang IEEE Transactions on Multimedia 24, 2112-2124, 2022 | 19 | 2022 |
| Question-Driven Graph Fusion Network For Visual Question Answering Y Qian, Y Hu, R Wang, F Feng, X Wang 2022 ICME, 2022 | 17 | 2022 |
| Lgr-net: Language guided reasoning network for referring expression comprehension M Lu, R Li, F Feng, Z Ma, X Wang IEEE Transactions on Circuits and Systems for Video Technology, 2024 | 16 | 2024 |
| DualGCN: Exploring syntactic and semantic information for aspect-based sentiment analysis R Li, H Chen, F Feng, Z Ma, X Wang, E Hovy IEEE Transactions on Neural Networks and Learning Systems, 2022 | 16 | 2022 |
| Image synthesis from locally related texts T Niu, F Feng*, L Li, X Wang Proceedings of the 2020 international conference on multimedia retrieval …, 2020 | 15 | 2020 |
| Multi-stage Pre-training over Simplified Multimodal Pre-training Models T Liu, F Feng, X Wang ACL, 2021 | 13 | 2021 |
| Constructing hierarchical image-tags bimodal representations for word tags alternative choice F Feng, R Li, X Wang Challenges in Representation Learning Workshop in ICML 2013, 2013 | 13 | 2013 |
