SENet for Weakly-Supervised Relation Extraction. - Jiashu Liu; Guang Chen 003; Jun Guo 002 (CSAI/ICIMT, 2018)

Generative-Discriminative Crop Type Identification using Satellite Images. - Nan Qiao 006; Yi Zhao; Ruei-Sung Lin; Bo Gong; Zhongxiang Wu; Mei Han; Jiashu Liu (GlobalSIP, 2019)

Spatio-Temporal Pattern of Cultivated Land and Agricultural Resources Analysis of Chongming Eco-Island. - Yuanqin Liao; Jiashu Liu; Huan Xie; Hailing Zheng; Qingyu Xu; Qing Hu; Xiong Xu; Sicong Liu 001 (IGARSS, 2019)

Online Shopping Behavior in Cross-cultural Context: An Empirical Research in China. - Shangui Hu; Jiashu Liu; Guoyin Wang 003 (WHICEB, 2019)

Analysis of influencing factors in emergency management based on an integrated methodology. - Xiaodi Liu; Zengwen Wang; Shitao Zhang; Jiashu Liu (Adapt. Behav., 2019)

A Novel Approach to Fuzzy Cognitive Map Based on Hesitant Fuzzy Sets for Modeling Risk Impact on Electric Power System. - Xiaodi Liu; Zengwen Wang; Shitao Zhang; Jiashu Liu (Int. J. Comput. Intell. Syst., 2019)

A Coarse-to-Fine Model for Geolocating Chinese Addresses. - Chunyao Qian; Chao Yi; Chengqi Cheng; Guoliang Pu; Jiashu Liu (ISPRS Int. J. Geo Inf., 2020)

Hybrid Prior-Based Diminished Reality for Indoor Panoramic Images. - Jiashu Liu; Qiudan Zhang; Xuelin Shen; Wenhui Wu 001; Xu Wang 006 (CGI (3), 2023)

Automatic Detection of Subglacial Water Bodies in the AGAP Region, East Antarctica, Based on Short-Time Fourier Transform. - Tong Hao; Liwen Jing; Jiashu Liu; Dailiang Wang; Tiantian Feng; Aiguo Zhao; Rongxing Li (Remote. Sens., 2023)

Computational approaches for detecting disease-associated alternative splicing events. - Jiashu Liu; Cui-Xiang Lin; Xiaoqi Zhang; Zongxuan Li; Wenkui Huang; Jin Liu; Yuanfang Guan; Hong-Dong Li (Briefings Bioinform., 2023)

DeepRetention: A Deep Learning Approach for Intron Retention Detection. - Zhenpeng Wu; Jiantao Zheng; Jiashu Liu; Cuixiang Lin; Hong-Dong Li (Big Data Min. Anal., 2023)

Ray-Tracing Channel Modeling for LEO Satellite-to-Ground Communication Systems. - Jiahao Ning; Jinhao Deng; Yuanfang Li; Chi Zhao; Jiashu Liu; Songjiang Yang; Yinghua Wang; Jie Huang 004; Cheng-Xiang Wang 001 (CoRR, 2025)

Evetac Meets Sparse Probabilistic Spiking Neural Network: Enhancing Snap-Fit Recognition Efficiency and Performance. - Senlin Fang; Haoran Ding; Yangjun Liu; Jiashu Liu; Yupo Zhang; Yilin Li; Hoiio Kong; Zhengkun Yi (IEEE Robotics Autom. Lett., 2025)