PAI-WSIT: An AI Service Platform With Support for Storing and Sharing Whole-Slide Images With Metadata and Annotations. - Yi Jin; Changjiang Zhou; Xiaodong Teng; Jiatong Ji; Hong Wu; Jun Liao (IEEE Access, 2019)

Named entity recognition from Chinese adverse drug event reports with lexical feature based BiLSTM-CRF and tri-training. - Yao Chen; Changjiang Zhou; Tianxin Li; Hong Wu; Xia Zhao; Kai Ye; Jun Liao (J. Biomed. Informatics, 2019)

Drug-drug interaction extraction via hybrid neural networks on biomedical literature. - Hong Wu; Yan Xing; Weihong Ge; Xiaoquan Liu; Jianjun Zou; Changjiang Zhou; Jun Liao (J. Biomed. Informatics, 2020)

Histopathology classification and localization of colorectal cancer using global labels by weakly supervised deep learning. - Changjiang Zhou; Yi Jin; Yuzong Chen 002; Shan Huang; Rengpeng Huang; Yuhong Wang; Youcai Zhao; Yao Chen; Lingchuan Guo; Jun Liao (Comput. Medical Imaging Graph., 2021)

Type-supervised sequence labeling based on the heterogeneous star graph for named entity recognition. - Xueru Wen; Changjiang Zhou; Haotian Tang; Luguang Liang; Yu Jiang 006; Hong Qi (CoRR, 2022)

A three-dimensional measurement method for binocular endoscopes based on deep learning. - Hao Yu; Changjiang Zhou; Wei Zhang; Liqiang Wang; Qing Yang 019; Bo Yuan (Frontiers Inf. Technol. Electron. Eng., 2022)

Orderly arrangement of agricultural biomass particles in designed gas-solid fluidized beds using CFD-DEM and image experiment. - Jie Su; Changjiang Zhou; Xinghe Jiang; Zizheng Qiao (Comput. Electron. Agric., 2023)

An improved fault model of wind turbine gear drive under multi-stage cracks. - Zizhen Qiao; Kangkang Chen; Changjiang Zhou; Hui Ma (Simul. Model. Pract. Theory, 2023)

Real-Time Dense Reconstruction with Binocular Endoscopy Based on StereoNet and ORB-SLAM. - Jiayi Huo; Changjiang Zhou; Bo Yuan; Qing Yang; Liqiang Wang (Sensors, 2023)

Injection parameter design to improve the high-speed gear heat dissipation: CFD simulation and regression orthogonal experiment. - Xinghe Jiang; Changjiang Zhou; Jie Su; Guanghu Jin; Rui Shen (Simul. Model. Pract. Theory, 2023)

End-to-End Entity Detection with Proposer and Regressor. - Xueru Wen; Changjiang Zhou; Haotian Tang; Luguang Liang; Hong Qi; Yu Jiang 006 (Neural Process. Lett., 2023)

CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks. - Jiafeng Guo; Changjiang Zhou; Ruqing Zhang 001; Jiangui Chen; Maarten de Rijke; Yixing Fan; Xueqi Cheng (CoRR, 2024)

On the Robustness of Generative Information Retrieval Models. - Yu-An Liu 028; Ruqing Zhang 001; Jiafeng Guo; Changjiang Zhou; Maarten de Rijke; Xueqi Cheng (CoRR, 2024)

Detection of the low-velocity layer using a convolutional neural network on passive surface-wave data: An application in Hangzhou, China. - Xinhua Chen; Jianghai Xia; Jingyin Pang; Changjiang Zhou (Comput. Geosci., 2024)

A novel dynamic heat-flow coupled model under spray lubrication for high-speed gears: CFD simulation and experimental validation. - Zizhen Qiao; Changjiang Zhou; Jie Su; Xinghe Jiang (Simul. Model. Pract. Theory, 2024)

On the Robustness of Generative Information Retrieval Models: An Out-of-Distribution Perspective. - Yu-An Liu 028; Ruqing Zhang 001; Jiafeng Guo; Changjiang Zhou; Maarten de Rijke; Xueqi Cheng (ECIR (2), 2025)

A data-driven friction coefficient model and its application in meshing efficiency prediction of heavy-duty gears. - Ningwei Xia; Changjiang Zhou; Shengwen Hou; Fa Zhang (Simul. Model. Pract. Theory, 2025)