Improved horizontal coding scheme for V-BLAST system with block-fading channel. - Qifan Chen; Shixin Cheng (PIMRC, 2003)

An improved turbo-BLAST system for quasistatic channel. - Qifan Chen; Haifeng Wang 002; Ming Chen 001; Shixin Cheng (PIMRC, 2004)

Prediction Approach of Critical Node Based on Multiple Attribute Decision Making for Opportunistic Sensor Networks. - Qifan Chen; Linlan Liu; Zhiyong Yang 009; Kai Guo (J. Sensors, 2016)

A link prediction approach based on deep learning for opportunistic sensor network. - Jian Shu 002; Qifan Chen; Linlan Liu; Lei Xu (Int. J. Distributed Sens. Networks, 2017)

A Distributed Storage Strategy For Trajectory Data Based On Nosql Database. - Yan Zhou; Qifan Chen; Baoyu Shan; Fan Jiang; Yuling Pang (IGARSS, 2019)

A Novel Approach to Discover Switch Behaviours in Process Mining. - Yang Lu; Qifan Chen; Simon K. Poon (ICPM Workshops, 2020)

Process Mining to Discover and Preserve Infrequent Relations in Event Logs: An Application to Understand the Laboratory Test Ordering Process Using the MIMIC-III Dataset. - Qifan Chen; Yang Lu; Charmaine S. Tam; Simon K. Poon (ACIS, 2021)

A Robust and Accurate Approach to Detect Process Drifts from Event Streams. - Yang Lu; Qifan Chen; Simon K. Poon (BPM, 2021)

Detecting and Understanding Branching Frequency Changes in Process Models. - Yang Lu; Qifan Chen; Simon K. Poon (BPMDS/EMMSAD@CAiSE, 2021)

Emotion Wheel Attention-Based Emotion Distribution Learning. - Xue-Qiang Zeng; Qifan Chen; Xuefeng Fu; Jiali Zuo (IEEE Access, 2021)

A Novel Approach to Detect Redundant Activity Labels For More Representative Event Logs. - Qifan Chen; Yang Lu; Charmaine S. Tam; Simon K. Poon (CoRR, 2021)

Detecting Context Activities in Event Logs. - Yang Lu; Qifan Chen; Simon K. Poon (BPMDS/EMMSAD@CAiSE, 2022)

Outcome-Oriented Predictive Process Monitoring to Predict Unplanned ICU Readmission in MIMIC-IV Database. - Qifan Chen; Yang Lu; Charmaine S. Tam; Simon K. Poon (ECIS, 2022)

Discovering Break Behaviours in Process Mining: An Application to Discover Treatment Pathways in ICU of Patients with Acute Coronary Syndrome. - Qifan Chen; Yang Lu; Charmaine S. Tam; Simon K. Poon (ICPM Workshops, 2022)

Predictive Process Monitoring for Early Predictions of Short- and Long-Term Mortality for Patients with Acute Coronary Syndrome. - Qifan Chen; Yang Lu; Charmaine S. Tam; Simon K. Poon (PACIS, 2022)

A Multi-View Framework to Detect Redundant Activity Labels for More Representative Event Logs in Process Mining. - Qifan Chen; Yang Lu; Charmaine S. Tam; Simon K. Poon (Future Internet, 2022)

A Deep Learning Approach for Repairing Missing Activity Labels in Event Logs for Process Mining. - Yang Lu; Qifan Chen; Simon K. Poon (Inf., 2022)

A Data-Driven Framework to Test Validity of the Discovered Clinical Process Based on Selected Patient Outcomes. - Qifan Chen; Yang Lu; Charmaine S. Tam; Simon K. Poon (ACSW, 2023)

Modeling Unknown Stochastic Dynamical System via Autoencoder. - Zhongshu Xu; Yuan Chen; Qifan Chen; Dongbin Xiu (CoRR, 2023)

The Runge-Kutta Discontinuous Galerkin Method with Compact Stencils for Hyperbolic Conservation Laws. - Qifan Chen; Zheng Sun 004; Yulong Xing (SIAM J. Sci. Comput., 2024)

Decentralized Optimal Power Flow for Multi-Agent Active Distribution Networks: A Differentially Private Consensus ADMM Algorithm. - Chao Lei; Siqi Bu; Qifan Chen; Qianggang Wang; Qin Wang; Dipti Srinivasan (IEEE Trans. Smart Grid, 2024)

Detection and location of wine grape (Cabernet Sauvignon) picking points by using a dual-stage deep learning method. - Qifan Wang 002; Fahu Xu; Qifan Chen; Zhiwen Mi; Yiyan Fan; Baofeng Su (Comput. Electron. Agric., 2025)

The Runge-Kutta discontinuous Galerkin method with stage-dependent polynomial spaces for hyperbolic conservation laws. - Qifan Chen; Zheng Sun 004; Yulong Xing (J. Comput. Phys., 2025)

Compact Runge-Kutta Flux Reconstruction for Hyperbolic Conservation Laws with admissibility preservation. - Arpit Babbar; Qifan Chen (CoRR, 2025)