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ORCIDYixin Su 0001
Person information
- affiliation (PhD 2022): University of Melbourne, School of Computing and Information Systems, Melbourne, VIC, Australia
Other persons with the same name
- Yixin Su (aka: Yi-Xin Su) — disambiguation page
- Yixin Su 0002
![[0000-0002-3143-3939]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-3143-3939")
(aka: Yi-xin Su 0002) — Wuhan University of Technology, School of Automation, Wuhan, China (and 1 more) - Yixin Su 0003 — Jiangnan University, School of Artificial Intelligence and Computer Science, Wuxi, USA
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2020 – today
- 2024
[j4]Xinxin Su, Zhen Huang, Yixin Su, Bayu Distiawan Trisedya, Yong Dou, Yunxiang Zhao:
Hierarchical Shared Encoder With Task-Specific Transformer Layer Selection for Emotion-Cause Pair Extraction. IEEE Trans. Affect. Comput. 15(4): 1934-1948 (2024)- [j3]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 Trans. Knowl. Data Eng. 36(6): 2357-2371 (2024) - 2023
- [j2]Yunxiang Zhao, Jianzhong Qi, Bayu Distiawan Trisedya, Yixin Su, Rui Zhang, Hongguang Ren:
Learning Region Similarities via Graph-Based Deep Metric Learning. IEEE Trans. Knowl. Data Eng. 35(10): 10237-10250 (2023) - [i5]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. CoRR abs/2307.11772 (2023) - 2022
- [b1]Yixin Su:
Explicit Feature Interaction Modeling for Recommender Systems. University of Melbourne, Parkville, Victoria, Australia, 2022 - [c7]Ziqiang Cui, Yixin Su, Fangquan Lin, Cheng Yang, Hanwei Zhang, Jihai Zhang:
Dual Disentangled Attention for Multi-Information Utilization in Sequential Recommendation. IJCNN 2022: 1-8 - [c6]Yixin Su, Yunxiang Zhao, Sarah M. Erfani, Junhao Gan, Rui Zhang:
Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems. KDD 2022: 1676-1686 - [i4]Yixin Su, Yunxiang Zhao, Sarah M. Erfani, Junhao Gan, Rui Zhang:
Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems. CoRR abs/2206.13764 (2022) - 2021
- [c5]Yixin Su, Rui Zhang, Sarah M. Erfani, Zhenghua Xu:
Detecting Beneficial Feature Interactions for Recommender Systems. AAAI 2021: 4357-4365 - [c4]Yixin Su, Rui Zhang, Sarah M. Erfani, Junhao Gan:
Neural Graph Matching based Collaborative Filtering. SIGIR 2021: 849-858 - [i3]Yixin Su, Rui Zhang, Sarah M. Erfani, Junhao Gan:
Neural Graph Matching based Collaborative Filtering. CoRR abs/2105.04067 (2021) - 2020
- [i2]Yixin Su, Rui Zhang, Sarah M. Erfani, Zhenghua Xu:
Detecting Relevant Feature Interactions for Recommender Systems via Graph Neural Networks. CoRR abs/2008.00404 (2020)
2010 – 2019
- 2019
- [c3]Changliang Li, Yixin Su, Ji Qi, Min Xiao:
Using GAN to Generate Sport News from Live Game Stats. ICCC 2019: 102-116 - [c2]Yixin Su, Sarah Monazam Erfani, Rui Zhang:
MMF: Attribute Interpretable Collaborative Filtering. IJCNN 2019: 1-8 - [i1]Yixin Su, Sarah Monazam Erfani, Rui Zhang:
MMF: Attribute Interpretable Collaborative Filtering. CoRR abs/1908.01099 (2019) - 2018
- [c1]Changliang Li, Yixin Su, Wenju Liu:
Text-To-Text Generative Adversarial Networks. IJCNN 2018: 1-7 - 2016
- [j1]Yixin Su, Sheng-Uei Guan:
Density and Distance Based KNN Approach to Classification. Int. J. Appl. Evol. Comput. 7(2): 45-60 (2016)
Coauthor Index
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