Qianqian Ren
Orcid: 0000-0003-1171-7018
According to our database1,
Qianqian Ren
authored at least 75 papers
between 2007 and 2025.
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Bibliography
2025
Inf. Sci., 2025
2024
A Delayed Spiking Neural Membrane System for Adaptive Nearest Neighbor-Based Density Peak Clustering.
Int. J. Neural Syst., October, 2024
FSCME: A Feature Selection Method Combining Copula Correlation and Maximal Information Coefficient by Entropy Weights.
IEEE J. Biomed. Health Informatics, September, 2024
A feature extraction framework for discovering pan-cancer driver genes based on multi-omics data.
Quant. Biol., 2024
Distillation enhanced time series forecasting network with momentum contrastive learning.
Inf. Sci., 2024
Reduction Accelerated Adaptive Step-Size FISTA Based Smooth-Lasso Regularization for Fluorescence Molecular Tomography Reconstruction.
Int. J. Imaging Syst. Technol., 2024
Expert Syst. Appl., 2024
Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain.
CoRR, 2024
Rethinking Spatio-Temporal Transformer for Traffic Prediction:Multi-level Multi-view Augmented Learning Framework.
CoRR, 2024
CoRR, 2024
MPFormer: Dynamic Traffic Spatial-Temporal Features Forecasting With Multi-Perspective Attentions.
Proceedings of the International Joint Conference on Neural Networks, 2024
Using Joint Training for Hybrid Automated Augmentations in Graph Contrastive Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024
Multi-scale Dilated Attention Enhanced Multi-modal Self-supervised GANs for Recommendation.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Spatio-Temporal Heterogeneous Graph Neural Network With Multi-view Learning For Traffic Prediction.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Time-Aware Intent Contrastive Learning with Rare-Class Sample Generator for Sequential Recommendation.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Multi-views Enhanced Spatio-Temporal Adaptive Transformer for Urban Traffic Prediction.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Data-Driven Spatiotemporal Aware Graph Hybrid-hop Transformer Network for Traffic Flow Forecasting.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
MDSTGCN : Multi-Scale Dynamic Spatial-Temporal Graph Convolution Network With Edge Feature Embedding for Traffic Forecasting.
Proceedings of the 24th IEEE International Symposium on Cluster, 2024
2023
Transformer-enhanced periodic temporal convolution network for long short-term traffic flow forecasting.
Expert Syst. Appl., October, 2023
FSTNet: Learning spatial-temporal correlations from fingerprints for indoor positioning.
Ad Hoc Networks, October, 2023
Spatial-temporal multi-feature fusion network for long short-term traffic prediction.
Expert Syst. Appl., August, 2023
GCCN: Graph Capsule Convolutional Network for Progressive Mild Cognitive Impairment Prediction and Pathogenesis Identification Based on Imaging Genetic Data.
IEEE J. Biomed. Health Informatics, June, 2023
Region-Wise Attentive Multi-View Representation Learning for Urban Region Embeddings.
CoRR, 2023
ABCAE: Artificial Bee Colony Algorithm with Adaptive Exploitation for Epistatic Interaction Detection.
Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023
Spectral Clustering of Single-Cell RNA-Sequencing Data by Multiple Feature Sets Affinity.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Spectral clustering based on multi-similarity learning method for single-cell RNA-seq data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Probing Traffic Trend Forecasting via Spatial-Temporal Aware Learning-Graph Attention.
Proceedings of the Asian Conference on Machine Learning, 2023
2022
Multi-scale convolutional networks for traffic forecasting with spatial-temporal attention.
Pattern Recognit. Lett., 2022
Proceedings of the IEEE Symposium on Computers and Communications, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Multi-Hierarchical Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting.
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022
MHILDA: identifying disease-associated lncRNAs by extracting key features from integrated heterogeneous networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Predicting LncRNA-Disease Associations Based on LncRNA-MiRNA-Disease Multilayer Association Network and Bipartite Network Recommendation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
HSAELDA: Predicting lncRNA-disease associations based on heterogeneous networks and Stacked Autoencoder.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
ATFE: A Two-dimensional Feature Encoding-based Sentence-level Attention Model for Distant Supervised Relation Extraction.
Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering, 2021
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021
Attention-Embedded Decomposed Network with Unpaired CT Images Prior for Metal Artifact Reduction.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021
2020
Comput. Intell. Neurosci., 2020
RSSI quantization and genetic algorithm based localization in wireless sensor networks.
Ad Hoc Networks, 2020
IEEE Access, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Proceedings of the Algorithms and Architectures for Parallel Processing, 2020
Proceedings of the Algorithms and Architectures for Parallel Processing, 2020
2019
Proceedings of the Algorithms and Architectures for Parallel Processing, 2019
Dynamic Ring Structure Based Target Localization Algorithm in Wireless Sensor Networks.
Proceedings of the 2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2019
2018
TTVT: A Two-Tier Voronoi Diagram Based Tracking Algorithm in Wireless Sensor Networks.
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2018
Proceedings of the Wireless Sensor Networks - 12th China Conference, 2018
2016
Proceedings of the Wireless Algorithms, Systems, and Applications, 2016
Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016
2014
Proceedings of the Algorithms and Architectures for Parallel Processing, 2014
2013
Int. J. Sens. Networks, 2013
2012
Proceedings of the Wireless Algorithms, Systems, and Applications, 2012
2011
Wirel. Sens. Netw., 2011
Proceedings of the IEEE 8th International Conference on Mobile Adhoc and Sensor Systems, 2011
2010
Bernoulli Sampling Based (element of, delta)-Approximate Aggregation in Large-Scale Sensor Networks.
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010
2009
TPSS: A Two-phase Sleep Scheduling Protocol for Object Tracking in Wireless Sensor Networks.
Proceedings of the IEEE 6th International Conference on Mobile Adhoc and Sensor Systems, 2009
2008
Proceedings of the Wireless Algorithms, 2008
Proceedings of the Wireless Algorithms, 2008
Proceedings of the International Conference on Embedded Software and Systems, 2008
Proceedings of the International Conference on Embedded Software and Systems, 2008
2007
An Efficient Clustering-Based Method for Data Gathering and Compressing in Sensor Networks.
Proceedings of the 8th ACIS International Conference on Software Engineering, 2007