一种面向Chrome浏览器的课堂云笔记插件 (Cloud-based Notes Plugin for Class on Google Chrome). - Zijian Qiao; Dejian Chen; Yanchun Sun (计算机科学, 2015)

An Approach to Using Existing Online Education Tools to Support Practical Education on MOOCs. - Yanchun Sun; Zijian Qiao; Dejian Chen; Chao Xin; Wenpin Jiao (COMPSAC, 2016)

A Personalized Service for Scheduling Express Delivery Using Courier Trajectories. - Yanchun Sun; Kui Wei; Zijian Qiao; Jiu Wen; Tianyuan Jiang (ICWS, 2016)

Weak signal detection based on underdamped multistable stochastic resonance. - Yaguo Lei; Zijian Qiao; Xuefang Xu; Jing Lin 001 (I2MTC, 2017)

一种面向Chrome浏览器的视频云笔记插件 (Cloud-based Notes Plugin for Video on Google Chrome). - Chao Xin; Zijian Qiao; Yanchun Sun (计算机科学, 2017)

Double stochastic resonance induced by varying potential-well depth and width. - Zijian Qiao; Jian Liu 025; Xin Ma; Jinliang Liu 001 (J. Frankl. Inst., 2021)

Research on a Bearing Fault Enhancement Diagnosis Method with Convolutional Neural Network Based on Adaptive Stochastic Resonance. - Chen Wang 070; Zijian Qiao; Zhangjun Huang; Junchen Xu; Shitong Fang; Cailiang Zhang; Jinjun Liu; Ronghua Zhu; Zhihui Lai 002 (Sensors, 2022)

High-Performance Adaptive Weak Fault Diagnosis Based on the Global Parameter Optimization Model of a Cascaded Stochastic Resonance System. - Zhihui Lai 002; Zhangjun Huang; Min Xu; Chen Wang 070; Junchen Xu; Cailiang Zhang; Ronghua Zhu; Zijian Qiao (Sensors, 2023)

Stochastic Resonance with Parameter Estimation for Enhancing Unknown Compound Fault Detection of Bearings. - Min Xu; Chao Zheng; Kelei Sun; Li Xu; Zijian Qiao; Zhihui Lai 002 (Sensors, 2023)

An Intelligent Fault Diagnosis Method Enhanced by Noise Injection for Machinery. - Changpu Yang; Zijian Qiao; Ronghua Zhu; Xuefang Xu; Zhihui Lai 002; Shengtong Zhou (IEEE Trans. Instrum. Meas., 2023)

TSN: A novel intelligent fault diagnosis method for bearing with small samples under variable working conditions. - Peiming Shi; Shuping Wu; Xuefang Xu; Bofei Zhang; Pengfei Liang; Zijian Qiao (Reliab. Eng. Syst. Saf., 2023)

GraphLLM: A General Framework for Multi-hop Question Answering over Knowledge Graphs Using Large Language Models. - Zijian Qiao; Nan Li; Chenxi Huang; Gangliang Wang; Shenglin Liang; Hui Lin; Qinglang Guo (NLPCC (1), 2024)

A broad learning model guided by global and local receptive causal features for online incremental machinery fault diagnosis. - Xuefang Xu; Shuo Bao; Pengfei Liang; Zijian Qiao; Changbo He; Peiming Shi (Expert Syst. Appl., 2024)

Multi-source domain adaptation using diffusion denoising for bearing fault diagnosis under variable working conditions. - Xuefang Xu; Xu Yang; Zijian Qiao; Pengfei Liang; Changbo He; Peiming Shi (Knowl. Based Syst., 2024)

MSKE-LLM: Multi-Stage Knowledge Enhancement Policy Question-Answering Large Language Model. - Gangliang Wang; Zijian Qiao; Qinglang Guo; Shenglin Liang; Hui Lin; Chunyao Yang (CSCWD, 2025)

Federated learning for heterogeneous neural networks with layer similarity relations in Cloud-Edge-End scenarios. - Rao Fu; Yongqiang Gao; Zijian Qiao (Future Gener. Comput. Syst., 2025)

KMDSAN: A novel method for cross-domain and unsupervised bearing fault diagnosis. - Shuping Wu; Peiming Shi; Xuefang Xu; Xu Yang; Ruixiong Li; Zijian Qiao (Knowl. Based Syst., 2025)

Simulated Data-Assisted Fault Diagnosis Framework With Dual-Path Feature Fusion for Rolling Element Bearings Under Incomplete Data. - Xuefang Xu; Xiaofeng Ou; Liang Ge; Zijian Qiao; Peiming Shi (IEEE Trans. Instrum. Meas., 2025)