Yixin Su

• Received Ph.D. degree from the School of Computing and Information Systems at The University of Melbourne
• Email: yixin DOT su AT outlook DOT com
• My research interests include recommender systems, feature interactions, graph neural networks.

Publications

1. Rui Zhang, Yixin Su, Bayu Distiawan Trisedya, Xiaoyan Zhao, Min Yang, Hong Cheng, Jianzhong Qi, AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment enabled by Large Language Models. IEEE Transactions on Knowledge and Data Engineering (TKDE) 2023.
2. Yunxiang Zhao, Jianzhong Qi, Bayu D Trisedya, Yixin Su, Rui Zhang, Hongguang Ren, Learning Region Similarities via Graph-based Deep Metric Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE) 2023.
3. Yixin Su, Yunxiang Zhao, Sarah Erfani, Junhao Gan, Rui Zhang, Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems. Conference on Knowledge Discovery and Data Mining (SIGKDD) 2022. paper code
4. Ziqiang Cui, Yixin Su, Fangquan Lin, Cheng Yang, Hanwei Zhang, Jihai, Zhang, Dual Disentangled Attention for Multi-Information Utilization in Sequential Recommendation. International Joint Conference on Neural Networks (IJCNN) 2022.
5. Yixin Su, Rui Zhang, Sarah Erfani, Junhao Gan, Neural Graph Matching based Collaborative Filtering. International Conference on Research and Development in Information Retrieval (SIGIR) 2021. paper code
6. Yixin Su, Rui Zhang, Sarah Erfani, Zhenghua Xu, Detecting Beneficial Feature Interactions for Recommender Systems. The Conference on Artificial Intelligence (AAAI) 2021. paper code
7. Yixin Su, Sarah Erfani, Rui Zhang, MMF: Attribute Interpretable Collaborative Filtering. International Joint Conference on Neural Networks (IJCNN) 2019. paper
8. Changliang Li, Yixin Su, Ji Qi, Min Xiao, Using GAN to Generate Sport News from Live Game Stats. International Conference on Cognitive Computing (ICCC) 2019.
9. Changliang Li, Yixin Su, Wenju Liu, Text-To-Text Generative Adversarial Networks. International Joint Conference on Neural Networks (IJCNN) 2018.
10. Yixin Su, Sheng-Uei Guan, Density and Distance Based KNN Approach to Classification. International Journal of Applied Evolutionary Computation (IJAEC) 2016.

Education

• University of Melbourne
  • Ph.D. in Computer Science
  • Aug 2018 - Oct 2022, Melbourne, Australia
• University of Melbourne
  • Master in Computer Science
  • Feb 2016 - Dec 2017, Melbourne, Australia
• Xi’an Jiaotong-Liverpool University
  • Bachelor in Information and Computing Science
  • Sep 2011 - Jun 2015, Suzhou, China