科研成果 by Year: 2024

2024
Yu Z, Zhang C, Wang Y, Tang W, Wang J, Ma L. Predict and Interpret Health Risk Using Ehr Through Typical Patients, in ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024).; 2024.
Gao X, Lin Y, Li R, Wang Y, Chu X, Ma X, Yu H. Enhancing Topic Interpretability for Neural Topic Modeling Through Topic-Wise Contrastive Learning, in 2024 IEEE 40th International Conference on Data Engineering (ICDE 2024).; 2024.
Jiang X, Qiu R, Xu Y, Zhang W, Zhu Y, Zhang R, Fang Y, Chu X, Zhao J, Wang Y. RAGraph: A General Retrieval-Augmented Graph Learning Framework. Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024). 2024.
Xu Yongxin, Jiang Xinke, Xu, C, Yuzhen, X, Zhang Chaohe, Ding Hongxin, Junfeng Z, Yasha W, Bing X. ProtoMix: Augmenting Health Status Representation Learning via Prototype-based Mixup, in the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024).; 2024.
Yang L, Xu C, Ma Xinyu, Gao Xin, Li Ruiqing, Yasha W. Combating Label Sparsity in Short Text Topic Modeling via Nearest Neighbor Augmentation, in In Findings of The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024).; 2024.
Zhihao Y, Xu C, Yujie J, Yasha W, Junfeng Z. Predict and Interpret Health Risk Using Ehr Through Typical Patients, in Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024).; 2024.
Ma X, Chu X, Wang Y, Lin Y, Zhao J, Ma L, Zhu W. Fused gromov-wasserstein graph mixup for graph-level classifications. Advances in Neural Information Processing Systems. 2024;36.