Multimodal Learning
Our work in multimodal learning includes stepwise story illustration using images, news image caption generation, multimodal fake news detection, and multimodal event representation learning.
Participants
Vishwash Batra, Lin Gui, Wenjia Zhang
Publications
- W. Zhang, L. Gui and Y. He. , The 30th ACM International Conference on Information and Knowledge Management (CIKM), Nov. 2021.
- D. Zhou, K. Sun, M. Hu and Y. He. , Knowledge-Based Systems, Vol. 227, 107200, 2021.
- L. Zhang, D. Zhou, Y. He and Z. Yang. , The 35th AAAI Conference on Artificial Intelligence (AAAI), Feb. 2021.
- V. Batra, A. Haldar, Y. He, H. Ferhatosmanoglu, G. Vogiatzis and T. Guha. . The 42nd European Conference on Information Retrieval (ECIR), Lisbon, Portugal, Apr. 2020.
- M. Hu, D. Zhou and Y. He. . The 11th Asian Conference on Machine Learning (ACML), Nagoya, Japan, Nov. 2019.
- V. Batra, Y. He and G. Vogiatzis. , The 11th International Conference on Language Resources and Evaluation (LREC), Miyazaki, Japan, May 2018.