“As for the future, your task is not to foresee it, but to enable it.”
- Antoine de Saint Exupery (1900-1944)
Generative AI & Information Retrieval
Generative AI
X Ni, H Xie, Y Yang, S Wang, W Wang, Y Liu. IPFC: An Attentive Face Completion Network with Identity Preserving. International Symposium on Electrical, Electronics and Information. 2022
M. Zhang, X. Liu, C. Liu, X. Zhang and H. Xie, "FST-Net: Exploiting Frequency Spatial Temporal Information for Low-Quality Fake Video Detection," 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), Washington, DC, USA, 2021, pp. 536-543.
Y Yang, X Ni, Y Hao, C Liu, W Wang, Y Liu, H Xie. Mf-gan: Multi-conditional fusion generative adversarial network for text-to-image synthesis. International Conference on Multimedia Modeling, pp. 41-53, 2022
X Zhang, S Wang, C Liu, M Zhang, X Liu, H Xie. Thinking in patch: Towards generalizable forgery detection with patch transformation. PRICAI 2021: Trends in Artificial Intelligence. 2021
P Zhou, B Finley, LH Lee, Y Liao, H Xie, P Hui. Towards user-centered metrics for trustworthy AI in immersive cyberspace. arXiv preprint arXiv:2203.03718
H Li, P Zhou, Y Lin, Y Hao, H Xie, Y Liao. TKN: Transformer-based Keypoint Prediction Network For Real-time Video Prediction. arXiv preprint arXiv:2303.09807
C. Luo, B. Zou, X. Lyu, and H. Xie, “Indoor scene reconstruction: From panorama images to cad models,” in 2019 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2019, pp. 317–320.
Information Retrieval Using Knowledge Graphs, Graph Learning
Y Zhao, X Wang, J Chen, Y Wang, W Tang, X He, H Xie. Time-aware path reasoning on knowledge graph for recommendation. ACM Transactions on Information Systems. 41 (2), 1-26
W Tang, B Xu, Y Zhao, Z Mao, Y Liu, Y Liao, H Xie. UniRel: Unified representation and interaction for joint relational triple extraction. arXiv preprint arXiv:2211.09039
Y. Wang, H. Zhang, and H. Xie, “A model of text-enhanced knowledge graph representation learning with collaborative attention,” in Proceedings of The Eleventh Asian Conference on Machine Learning, ser. Proceedings of Machine Learning Research, vol. 101, Nagoya, Japan: PMLR, Nov. 2019, pp. 220–235.
Y. Wang, H. Zhang, Y. Liu, and H. Xie, “Kg-to-text generation with slot-attention and link-attention,” in Natural Language Processing and Chinese Computing, Cham: Springer International Publishing, 2019, pp. 223–234, isbn: 978-3-030-32233-5.
Y. Wang, H. Zhang, Y. Li, and H. Xie, “Simplified representation learning model based on parameter-sharing for knowledge graph completion.,” in CCIR, ser. Lecture Notes in Computer Science, vol. 11772, Springer, 2019, pp. 67–78
Y. Wang, H. Zhang, and H. Xie, “Geography-enhanced link prediction framework for knowledge graph completion,” in Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding, Singapore: Springer Singapore, 2019, pp. 198–210.
Y. Wang, Y. Liu, H. Zhang, and H. Xie, “Leveraging lexical semantic information for learning concept-based multiple embedding representations for knowledge graph completion,” in Web and Big Data, Cham: Springer International Publishing, 2019, pp. 382–397.
Y. Wang, Y. Liu, and H. Xie, “A novel distributed knowledge reasoning model,” in Artificial Intelligence and Security, Cham: Springer International Publishing, 2019, pp. 237–247.