Yixin Su

According to our database, Yixin Su authored at least 16 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective.

Ziwen Zhao, Yixin Su, Yuhua Li, Yixiong Zou, Ruixuan Li, Rui Zhang

IEEE Trans. Knowl. Data Eng., August, 2025

Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios.

Yixin Su, Wei Jiang, Fangquan Lin, Cheng Yang, Sarah M. Erfani, Junhao Gan, Yunxiang Zhao, Ruixuan Li, Rui Zhang

ACM Trans. Inf. Syst., May, 2025

A unified deep framework for peptide-major histocompatibility complex-T cell receptor binding prediction.

Yunxiang Zhao, Jijun Yu, Yixin Su, You Shu, Enhao Ma, Jing Wang, Shuyang Jiang, Congwen Wei, Dongsheng Li, Zhen Huang, Gong Cheng, Hongguang Ren, Jiannan Feng

Nat. Mac. Intell., 2025

2024

AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment Enabled by Large Language Models.

Rui Zhang, Yixin Su, Bayu Distiawan Trisedya, Xiaoyan Zhao, Min Yang, Hong Cheng, Jianzhong Qi

IEEE Trans. Knowl. Data Eng., June, 2024

Hierarchical Shared Encoder With Task-Specific Transformer Layer Selection for Emotion-Cause Pair Extraction.

Xinxin Su, Zhen Huang, Yixin Su, Bayu Distiawan Trisedya, Yong Dou, Yunxiang Zhao

IEEE Trans. Affect. Comput., 2024

2023

Learning Region Similarities via Graph-Based Deep Metric Learning.

Yunxiang Zhao, Jianzhong Qi, Bayu Distiawan Trisedya, Yixin Su, Rui Zhang, Hongguang Ren

IEEE Trans. Knowl. Data Eng., October, 2023

2022

Explicit Feature Interaction Modeling for Recommender Systems.

Yixin Su

PhD thesis, 2022

Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems.

Yixin Su, Yunxiang Zhao, Sarah M. Erfani, Junhao Gan, Rui Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Dual Disentangled Attention for Multi-Information Utilization in Sequential Recommendation.

Ziqiang Cui, Yixin Su, Fangquan Lin, Cheng Yang, Hanwei Zhang, Jihai Zhang

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Neural Graph Matching based Collaborative Filtering.

Yixin Su, Rui Zhang, Sarah M. Erfani, Junhao Gan

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Detecting Beneficial Feature Interactions for Recommender Systems.

Yixin Su, Rui Zhang, Sarah M. Erfani, Zhenghua Xu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Detecting Relevant Feature Interactions for Recommender Systems via Graph Neural Networks.

Yixin Su, Rui Zhang, Sarah M. Erfani, Zhenghua Xu

CoRR, 2020

2019

MMF: Attribute Interpretable Collaborative Filtering.

Yixin Su, Sarah Monazam Erfani, Rui Zhang

Proceedings of the International Joint Conference on Neural Networks, 2019

Using GAN to Generate Sport News from Live Game Stats.

Changliang Li, Yixin Su, Ji Qi, Min Xiao

Proceedings of the Cognitive Computing - ICCC 2019, 2019

2018

Text-To-Text Generative Adversarial Networks.

Changliang Li, Yixin Su, Wenju Liu

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2016

Density and Distance Based KNN Approach to Classification.

Yixin Su, Sheng-Uei Guan

Int. J. Appl. Evol. Comput., 2016