Publications
Large Language Models
- Ge, X., Mousavi, A., Grave, E., Joulin, A., Qian, K., Han, B., Arefiyan, M. & Li, Y. (2024). “Time Sensitive Knowledge Editing through Efficient Finetuning.” the 62nd Annual Meeting of the Association of Computational Linguistics (ACL), Bangkok, Thailand. [paper].
Knowledge Graphs
Ge, X., Wang, Y. C., Wang, B., & Kuo, C.-C. J. (2023). “Knowledge Graph Embedding: An Overview.” APSIPA Transactions on Signal and Information Processing. [paper].
Wang, Y. C., Ge, X., Wang, B., & Kuo, C.-C. J. (2023). “AsyncET: Asynchronous Learning for Knowledge Graph Entity Typing with Auxiliary Relations.” the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ‘24), Barcelona, Spain. [paper].
Ge, X., Wang, Y. C., Wang, B., & Kuo, C.-C. J. (2023). “Knowledge Graph Embedding with 3D Compound Geometric Transformations.” APSIPA Transactions on Signal and Information Processing. [paper] [code].
Ge, X., Wang, Y. C., Wang, B., & Kuo, C.-C. J. (2023). “CompoundE: Knowledge Graph Embedding with Translation, Rotation and Scaling Compound Operations.” the 61st Annual Meeting of the Association of Computational Linguistics (ACL), Toronto, Canada. [paper] [code].
Wang, Y. C., Ge, X., Wang, B., & Kuo, C.-C. J. (2023). “GreenKGC: A Lightweight Knowledge Graph Completion Method.” the 61st Annual Meeting of the Association of Computational Linguistics (ACL), Toronto, Canada. [paper] [code].
Ge, X., Wang, Y. C., Wang, B., & Kuo, C.-C. J. (2022). “TypeEA: Type-Associated Embedding for Knowledge Graph Entity Alignment.” APSIPA Transactions on Signal and Information Processing. [paper].
Ge, X., Wang, Y. C., Wang, B., & Kuo, C.-C. J. (2022). “CORE: A Knowledge Graph Entity Type Prediction Method via Complex Space Regression and Embedding.” APSIPA Transactions on Signal and Information Processing. [paper] [code].
Wang, Y. C., Ge, X., Wang, B., & Kuo, C.-C. J. (2022). “KGBoost: A Classification-based Knowledge Base Completion Method with Negative Sampling.” Pattern Recognition Letters. 157, 104-111. [paper] [code].
Computer Vision
- Rouhsedaghat, M., Wang, Y., Ge, X., Hu, S., You, S., & Kuo, C. C. J. (2021). “FaceHop: A Light-Weight Low-Resolution Face Gender Classification Method.” International Conference on Pattern Recognition 2021. pp. 169-183. [paper] [code].
Generative AI
Ge, X., Goodwin, R. T., Gregory, J. R., Kirchain, R. E., Maria, J., & Varshney, L. R. (2019). “Accelerated Discovery of Sustainable Building Materials.” AAAI 2019 Spring Symposium on Towards AI for Collaborative Open Science. [paper] [code].
Ge, X., Xiong, J., & Varshney, L. R. (2018). “Computational Creativity for Valid Rube Goldberg Machines.” 9th International Conference on Computational Creativity, ICCC 2018. pp. 72-79. [paper].
AI for Good
Ge, X., Goodwin, R.T., Yu, H., Romero, P., Abdelrahman, O., Sudhalkar, A., Kusuma, J., Cialdella, R., Garg, N. and Varshney, L.R. (2022). “Accelerated Design and Deployment of Low-Carbon Concrete for Data Centers.” ACM SIGCAS Conference on Computing and Sustainable Societies (ACM COMPASS) 2022 [paper].
Brown S.E., Ge, X., Rana P., Varshney, L.R., & D. C. Miller (2018). “Network Analysis as a Tool for Shaping Conservation and Development Policy: A Case Study of Timber Market Optimization in India.” 5th Data for Good Exchange (D4GX) [paper].
Communication
- Wu T.-Y., Ge, X., & Varshney, L. R. (2018). “Computational Creativity for Valid Rube Goldberg Machines.” 52nd Annual Conference on Information Sciences and Systems (CISS) [paper].