Weiqi Chen

Orcid: 0000-0002-0133-7110

According to our database1, Weiqi Chen authored at least 53 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt.
CoRR, 2024

2023
Highly Efficient Automatic Synthesis of a Millimeter-Wave On-Chip Deformable Spiral Inductor Using a Hybrid Knowledge-Guided and Data-Driven Technique.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2023

Energy forecasting with robust, flexible, and explainable machine learning algorithms.
AI Mag., December, 2023

Personalized Federated DARTS for Electricity Load Forecasting of Individual Buildings.
IEEE Trans. Smart Grid, November, 2023

H-RNet: Hybrid Relation Network for Few-Shot Learning-Based Hyperspectral Image Classification.
Remote. Sens., 2023

WeatherGNN: Exploiting Complicated Relationships in Numerical Weather Prediction Bias Correction.
CoRR, 2023

OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling.
CoRR, 2023

OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Multi-scale Deep Image Completion Model Fused Capsule Network.
Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

Transformers in Time Series: A Survey.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Exploiting the Collision-Free Region with Slotting Access for Data-Gathering in the Linear UANs.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

High-order Time Shift Keying Modulation and Detection for Ambient Backscatter Communications.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

Frame Error Rate Restricted AUV Relaying Data Collection in Underwater Acoustic Sensor Networks.
Proceedings of the IEEE International Conference on Communications, 2023

eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A hybrid adaptive approach for instance transfer learning with dynamic and imbalanced data.
Int. J. Intell. Syst., December, 2022

Mobile Relaying-Based Reliable Data Collection in Underwater Acoustic Sensor Networks.
IEEE Wirel. Commun. Lett., 2022

Delay-Optimal Scheduling of VMs in a Queueing Cloud Computing System with Heterogeneous Workloads.
IEEE Trans. Serv. Comput., 2022

DACHA: A Dual Graph Convolution Based Temporal Knowledge Graph Representation Learning Method Using Historical Relation.
ACM Trans. Knowl. Discov. Data, 2022

AARGNN: An Attentive Attributed Recurrent Graph Neural Network for Traffic Flow Prediction Considering Multiple Dynamic Factors.
IEEE Trans. Intell. Transp. Syst., 2022

Detection of Airborne Nanoparticles through Enhanced Light Scattering Images.
Sensors, 2022

Temporal dynamics of clinical risk predictors for hospital-acquired acute kidney injury under different forecast time windows.
Knowl. Based Syst., 2022

VPGB: A granular-ball based model for attribute reduction and classification with label noise.
Inf. Sci., 2022

Characterizing the temporal changes in association between modifiable risk factors and acute kidney injury with multi-view analysis.
Int. J. Medical Informatics, 2022

Impact and analysis of space-time coupling on slotted MAC in UANs.
CoRR, 2022

Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Fast Attribute Reduction for Big Datasets Based on Neighborhood Rough Set.
Proceedings of the Fuzzy Systems and Data Mining VIII, 2022

TRindex: Distributed Double-Layer Road Network Trajectory Index.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2022

2021
Medium Access Control Under Space-Time Coupling in Underwater Acoustic Networks.
IEEE Internet Things J., 2021

Fast just-in-time-learning recursive multi-output LSSVR for quality prediction and control of multivariable dynamic systems.
Eng. Appl. Artif. Intell., 2021

Learning from Multiple Time Series: A Deep Disentangled Approach to Diversified Time Series Forecasting.
CoRR, 2021

2020
MUMI: Multitask Module Identification for Biological Networks.
IEEE Trans. Evol. Comput., 2020

Which risk predictors are more likely to indicate severe AKI in hospitalized patients?
Int. J. Medical Informatics, 2020

Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Distance-Vector-Based Opportunistic Routing for Underwater Acoustic Sensor Networks.
IEEE Internet Things J., 2019

2018
Active module identification in biological networks.
PhD thesis, 2018

Reliable and Opportunistic Transmissions for Underwater Acoustic Networks.
IEEE Netw., 2018

Causal risk factor discovery for severe acute kidney injury using electronic health records.
BMC Medical Informatics Decis. Mak., 2018

Rate control for semi-TCP in multihop wireless networks.
EURASIP J. Wirel. Commun. Netw., 2018

Evolutionary Sleep Scheduling in Software-Defined Networks.
IEEE Access, 2018

Delay-Optimal Scheduling for Heavy-Tailed and Light-Tailed Flows via Reinforcement Learning.
Proceedings of the IEEE International Conference on Communication Systems, 2018

2017
Prior knowledge guided active modules identification: an integrated multi-objective approach.
BMC Syst. Biol., 2017

2016
Multiple-cause discovery combined with structure learning for high-dimensional discrete data and application to stock prediction.
Soft Comput., 2016

Joint QoS provisioning and congestion control for multi-hop wireless networks.
EURASIP J. Wirel. Commun. Netw., 2016

2015
Concept drift mining of portfolio selection factors in stock market.
Electron. Commer. Res. Appl., 2015

HJ satellite based mapping technologies of land use products for emergency response of agricultural disasters.
Proceedings of the 23rd International Conference on Geoinformatics, 2015

2014
A Causal Model for Disease Pathway Discovery.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Concept Drift Mining of Fundamental Variables in China Stock Market.
Proceedings of the 2014 Ninth International Conference on P2P, 2014

Discovering Many-to-One Causality in Software Project Risk Analysis.
Proceedings of the 2014 Ninth International Conference on P2P, 2014

2011
Remote sensing analysis of rainstorm effects on sediment concentrations in Apalachicola Bay, USA.
Ecol. Informatics, 2011

A simple retrieval method of land surface temperature from AMSR-E passive microwave data - A case study over Southern China during the strong snow disaster of 2008.
Int. J. Appl. Earth Obs. Geoinformation, 2011

The 0/1 Multi-objective Knapsack Problem Based on Regional Search.
Proceedings of the Seventh International Conference on Computational Intelligence and Security, 2011

2008
Self-adaptive velocity particle swarm optimization for solving constrained optimization problems.
J. Glob. Optim., 2008

2006
Dynamic-objective particle swarm optimization for constrained optimization problems.
J. Comb. Optim., 2006


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