Qianqian Ren

Orcid: 0000-0003-1171-7018

According to our database1, Qianqian Ren authored at least 75 papers between 2007 and 2025.

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

Timeline

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Bibliography

2025
Multi-scale synchronous contextual network for fine-grained urban flow inference.
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

A general neural membrane computing model.
Inf. Sci., 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

Multi-behavior recommendation with SVD Graph Neural Networks.
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

Enhanced Urban Region Profiling with Adversarial Self-Supervised Learning.
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

Urban Traffic Flow Forecasting Based on Spatial-Temporal Graph Contrastive Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024

Adaptive Multi-View Joint Contrastive Learning on Graphs.
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

Multi-behavior Recommendation with SVD Graph Neural Networks.
CoRR, 2023

Region-Wise Attentive Multi-View Representation Learning for Urban Region Embeddings.
CoRR, 2023

Hybrid Augmented Automated Graph Contrastive Learning.
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

Dual-Stage Graph Convolution Network With Graph Learning For Traffic Prediction.
Proceedings of the IEEE International Conference on Acoustics, 2023

Progressive Graph Learning over Pruned Dependency Trees For Relation Extraction.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Region-Wise Attentive Multi-View Representation Learning For Urban Region Embedding.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Crow Search Algorithm Based on Information Interaction for Epistasis Detection.
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

Dynamic Graph Convolutional Network for Long Short-term Traffic Flow Prediction.
Proceedings of the IEEE Symposium on Computers and Communications, 2022

LSTN: Long Short-Term Traffic Flow Forecasting with Transformer Networks.
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

Deep Spatio-Temporal Residual Shrinkage Networks for Traffic Prediction.
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
Delayed Spiking Neural P Systems with Scheduled Rules.
Complex., 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

Improving Relation Extraction via Joint Coding Using BiLSTM and DCNN.
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

DeepLoc: A Deep Neural Network-based Indoor Positioning Framework.
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
Turing Universality of Weighted Spiking Neural P Systems with Anti-spikes.
Comput. Intell. Neurosci., 2020

RSSI quantization and genetic algorithm based localization in wireless sensor networks.
Ad Hoc Networks, 2020

A Reliable Localization Algorithm Based on Grid Coding and Multi-Layer Perceptron.
IEEE Access, 2020

Unsupervised Reused Convolutional Network for Metal Artifact Reduction.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Principal Component Analysis for Fingerprint Positioning.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

A Greedy Heuristic Based Beacons Selection for Localization.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

2019
A Binary Code Sequence Based Tracking Algorithm in Wireless Sensor Networks.
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
VisUPI: visual analytics for University Personality Inventory data.
J. Vis., 2018

Energy efficient tracking in uncertain sensor networks.
Ad Hoc Networks, 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

VDTS: A Voronoi Diagram Based Tracking Schemes in Wireless Sensor Networks.
Proceedings of the Wireless Sensor Networks - 12th China Conference, 2018

2016
Multi-path Reliable Routing with Pipeline Schedule in Wireless Sensor Networks.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2016

MR-MC: A Joint Routing Protocol in Wireless Sensor Networks.
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
A Weighted Centroid Based Tracking System in Wireless Sensor Networks.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2014

2013
Information quality-aware tracking in uncertain sensor network.
Int. J. Sens. Networks, 2013

2012
A Framework of Fire Monitoring System Based on Sensor Networks.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2012

2011
Compressing Information of Target Tracking in Wireless Sensor Networks.
Wirel. Sens. Netw., 2011

Target Tracking under Uncertainty in Wireless Sensor Networks.
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
An Energy-Efficient Object Tracking Algorithm in Sensor Networks.
Proceedings of the Wireless Algorithms, 2008

Power-Efficient Data Exchanging Algorithm in Wireless Mesh Networks.
Proceedings of the Wireless Algorithms, 2008

Routing in Multi-Sink Sensor Networks Based on Gravitational Field.
Proceedings of the International Conference on Embedded Software and Systems, 2008

An Approximate Query Processing Method Based on Data Correlation in Sensor Networks.
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


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