Multi-Stage Fusion and Multi-Source Attention Network for Multi-Modal Remote Sensing Image Segmentation. - Jiaqi Zhao 001; Yong Zhou 003; Boyu Shi; Jingsong Yang; Di Zhang; Rui Yao (ACM Trans. Intell. Syst. Technol., 2021)

Edge-aware and spectral-spatial information aggregation network for multispectral image semantic segmentation. - Di Zhang; Jiaqi Zhao 001; Jingyang Chen; Yong Zhou 003; Boyu Shi; Rui Yao (Eng. Appl. Artif. Intell., 2022)

Multi-source collaborative enhanced for remote sensing images semantic segmentation. - Jiaqi Zhao 001; Di Zhang; Boyu Shi; Yong Zhou 003; Jingyang Chen; Rui Yao; Yong Xue (Neurocomputing, 2022)

Cutting Learned Index into Pieces: An In-depth Inquiry into Updatable Learned Indexes. - Jiake Ge; Boyu Shi; Yanfeng Chai; Yuanhui Luo; Yunda Guo; Yinxuan He; Yunpeng Chai (ICDE, 2023)

Data Augmentation For Label Enhancement. - Zhiqiang Kou; Yuheng Jia; Jing Wang 113; Boyu Shi; Xin Geng 001 (CoRR, 2023)

RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Inter-label Correlations. - Kouzhiqiang Yucheng Xie; Jing Wang 113; Yuheng Jia; Boyu Shi; Xin Geng 001 (CoRR, 2023)

SALI: A Scalable Adaptive Learned Index Framework based on Probability Models. - Jiake Ge; Huanchen Zhang; Boyu Shi; Yuanhui Luo; Yunda Guo; Yunpeng Chai; Yuxing Chen; Anqun Pan (Proc. ACM Manag. Data, 2023)

Building Variable-Sized Models via Learngene Pool. - Boyu Shi; Shiyu Xia; Xu Yang 021; Haokun Chen; Zhiqiang Kou; Xin Geng 001 (AAAI, 2024)

Exploiting Multi-Label Correlation in Label Distribution Learning. - Zhiqiang Kou; Jing Wang 113; Jiawei Tang; Yuheng Jia; Boyu Shi; Xin Geng 001 (IJCAI, 2024)