Developing machine learning models with multi-source environmental data to predict wheat yield in China. - Linchao Li; Bin Wang 083; Puyu Feng; De Li Liu; Qinsi He; Yajie Zhang; Yakai Wang; Siyi Li; Xiaoliang Lu; Chao Yue; Yi Li; Jianqiang He; et al. (Comput. Electron. Agric., 2022)

Simulations of solar-induced chlorophyll fluorescence over crop canopies using the integrated APSIM model. - Yakai Wang; Zhunqiao Liu; Qiang Yu 006; Liangyun Liu; Xinjie Liu; Linchao Li; Qianlan Jia; Chenhui Guo; Xiaoliang Lu (Comput. Electron. Agric., 2022)

DistSim: A performance model of large-scale hybrid distributed DNN training. - Guandong Lu; Runzhe Chen; Yakai Wang; Yangjie Zhou 001; Rui Zhang; Zheng Hu 002; Yanming Miao; Zhifang Cai; Li Li 012; Jingwen Leng; Minyi Guo (CF, 2023)

DistSim: A performance model of large-scale hybrid distributed DNN training. - Guandong Lu; Runzhe Chen; Yakai Wang; Yangjie Zhou 001; Rui Zhang; Zheng Hu; Yanming Miao; Zhifang Cai; Li Li 012; Jingwen Leng; Minyi Guo (CoRR, 2023)

Support-Query Prototype Fusion Network for Few-shot Medical Image Segmentation. - Xiaoxiao Wu; Zhenguo Gao; Xiaowei Chen; Yakai Wang; Shulei Qu; Na Li (CoRR, 2024)

Multi-Task Learning for Fatigue Detection and Face Recognition of Drivers via Tree-Style Space-Channel Attention Fusion Network. - Shulei Qu; Zhenguo Gao; Xiaowei Chen; Na Li; Yakai Wang; Xiaoxiao Wu (CoRR, 2024)

BAFT: bubble-aware fault-tolerant framework for distributed DNN training with hybrid parallelism. - Runzhe Chen; Guandong Lu; Yakai Wang; Rui Zhang; Zheng Hu; Yanming Miao; Zhifang Cai; Jingwen Leng; Minyi Guo (Frontiers Comput. Sci., 2025)