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ORCIDQifan Chen
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j8]Qifan Chen, Zheng Sun
, Yulong Xing:
The Runge-Kutta discontinuous Galerkin method with stage-dependent polynomial spaces for hyperbolic conservation laws. J. Comput. Phys. 523: 113654 (2025)- 2024
- [j7]Qifan Chen, Zheng Sun, Yulong Xing:
The Runge-Kutta Discontinuous Galerkin Method with Compact Stencils for Hyperbolic Conservation Laws. SIAM J. Sci. Comput. 46(2): 1327- (2024) - [j6]Chao Lei, Siqi Bu, Qifan Chen, Qianggang Wang, Qin Wang, Dipti Srinivasan:
Decentralized Optimal Power Flow for Multi-Agent Active Distribution Networks: A Differentially Private Consensus ADMM Algorithm. IEEE Trans. Smart Grid 15(6): 6175-6178 (2024) - [i8]Qifan Chen, Zheng Sun, Yulong Xing:
The Runge-Kutta discontinuous Galerkin method with stage-dependent polynomial spaces for hyperbolic conservation laws. CoRR abs/2402.15150 (2024) - 2023
- [c12]Qifan Chen, Yang Lu, Charmaine S. Tam, Simon K. Poon:
A Data-Driven Framework to Test Validity of the Discovered Clinical Process Based on Selected Patient Outcomes. ACSW 2023: 248-251 - [i7]Qifan Chen, Zheng Sun, Yulong Xing:
The Runge-Kutta discontinuous Galerkin method with compact stencils for hyperbolic conservation laws. CoRR abs/2307.06471 (2023) - [i6]Zhongshu Xu, Yuan Chen, Qifan Chen, Dongbin Xiu:
Modeling Unknown Stochastic Dynamical System via Autoencoder. CoRR abs/2312.10001 (2023) - 2022
- [j5]Qifan Chen, Yang Lu, Charmaine S. Tam, Simon K. Poon:
A Multi-View Framework to Detect Redundant Activity Labels for More Representative Event Logs in Process Mining. Future Internet 14(6): 181 (2022) - [j4]Yang Lu, Qifan Chen, Simon K. Poon:
A Deep Learning Approach for Repairing Missing Activity Labels in Event Logs for Process Mining. Inf. 13(5): 234 (2022) - [c11]Yang Lu, Qifan Chen, Simon K. Poon:
Detecting Context Activities in Event Logs. BPMDS/EMMSAD@CAiSE 2022: 108-122 - [c10]Qifan Chen, Yang Lu, Charmaine S. Tam, Simon K. Poon:
Outcome-Oriented Predictive Process Monitoring to Predict Unplanned ICU Readmission in MIMIC-IV Database. ECIS 2022 - [c9]Qifan Chen, Yang Lu, Charmaine S. Tam, Simon K. Poon:
Discovering Break Behaviours in Process Mining: An Application to Discover Treatment Pathways in ICU of Patients with Acute Coronary Syndrome. ICPM Workshops 2022: 354-365 - [c8]Qifan Chen, Yang Lu, Charmaine S. Tam, Simon K. Poon:
Predictive Process Monitoring for Early Predictions of Short- and Long-Term Mortality for Patients with Acute Coronary Syndrome. PACIS 2022: 22 - [i5]Yang Lu, Qifan Chen, Simon K. Poon:
A Deep Learning Approach for Repairing Missing Activity Labels in Event Logs for Process Mining. CoRR abs/2202.10326 (2022) - 2021
- [j3]Xue-Qiang Zeng, Qifan Chen, Xuefeng Fu, Jiali Zuo:
Emotion Wheel Attention-Based Emotion Distribution Learning. IEEE Access 9: 153360-153370 (2021) - [c7]Qifan Chen, Yang Lu, Charmaine S. Tam, Simon K. Poon:
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. ACIS 2021: 30 - [c6]Yang Lu, Qifan Chen, Simon K. Poon:
A Robust and Accurate Approach to Detect Process Drifts from Event Streams. BPM 2021: 383-399 - [c5]Yang Lu, Qifan Chen, Simon K. Poon:
Detecting and Understanding Branching Frequency Changes in Process Models. BPMDS/EMMSAD@CAiSE 2021: 39-46 - [i4]Yang Lu, Qifan Chen, Simon K. Poon:
Detecting and Understanding Branching Frequency Changes in Process Models. CoRR abs/2103.10742 (2021) - [i3]Yang Lu, Qifan Chen, Simon K. Poon:
A Robust and Accurate Approach to Detect Process Drifts from Event Streams. CoRR abs/2103.10749 (2021) - [i2]Qifan Chen, Yang Lu, Charmaine S. Tam, Simon K. Poon:
A Novel Approach to Detect Redundant Activity Labels For More Representative Event Logs. CoRR abs/2103.16061 (2021) - [i1]Yang Lu, Qifan Chen, Simon K. Poon:
A Novel Approach to Discover Switch Behaviours in Process Mining. CoRR abs/2106.12765 (2021) - 2020
- [c4]Yang Lu, Qifan Chen, Simon K. Poon:
A Novel Approach to Discover Switch Behaviours in Process Mining. ICPM Workshops 2020: 57-68
2010 – 2019
- 2019
- [c3]Yan Zhou, Qifan Chen, Baoyu Shan, Fan Jiang, Yuling Pang:
A Distributed Storage Strategy For Trajectory Data Based On Nosql Database. IGARSS 2019: 3487-3490 - 2017
- [j2]Jian Shu, Qifan Chen, Linlan Liu, Lei Xu:
A link prediction approach based on deep learning for opportunistic sensor network. Int. J. Distributed Sens. Networks 13(4) (2017) - 2016
- [j1]Qifan Chen, Linlan Liu, Zhiyong Yang, Kai Guo:
Prediction Approach of Critical Node Based on Multiple Attribute Decision Making for Opportunistic Sensor Networks. J. Sensors 2016: 8246030:1-8246030:8 (2016)
2000 – 2009
- 2004
- [c2]Qifan Chen, Haifeng Wang, Ming Chen, Shixin Cheng:
An improved turbo-BLAST system for quasistatic channel. PIMRC 2004: 1588-1591 - 2003
- [c1]Qifan Chen, Shixin Cheng:
Improved horizontal coding scheme for V-BLAST system with block-fading channel. PIMRC 2003: 2281-2285
Coauthor Index
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