Qianqian Ren

103 papers A* 1A 2B 8C 3Misc 4Journal 48Unranked 37
YearRankTypeTitle / Venue / Authors
2026 J jnl
CPSORCL: A Cooperative Particle Swarm Optimization Method with Random Contrastive Learning for Interactive Feature Selection.
Big Data Min. Anal.
Yahan Li, Xiaohan Zhang, Junliang Shang, Qianqian Ren, Jin-Xin Liu
2026 J jnl
KAN-infused social recommendation: A contrastive graph learning approach with bidirectional feature fusion.
Inf. Fusion
Yichen Liu, Qianqian Ren, Shengxi Fu, Yong Liu
2026 J jnl
KANM$^{2}$L: Enhancing Multi-Modal Recommendation With KAN and Dilated Attention.
IEEE Trans. Multim.
Yi Xue, Qianqian Ren, Yong Liu, Jianguo Sun
2026 J jnl
Learning across modalities: Multi-scale contrastive forecasting with time-frequency representations and adversarial augmentations.
Inf. Sci.
Yangyang Shi, Qianqian Ren
2026 J jnl
Meta-contrastive task adaptation for time series forecasting: A structured dual-teacher framework.
Inf. Fusion
Weimin Song, Qianqian Ren, Xingfeng Lv, Jinbao Li
2026 J jnl
SKGRec: Unifying temporal dynamics and knowledge graphs for robust recommendations.
Expert Syst. Appl.
Yichen Liu, Shengxi Fu, Qianqian Ren, Xingfeng Lv, Jinbao Li
2025 J jnl
Adversarial Self-Supervised Learning for Secure and Robust Urban Region Profiling.
IEEE Trans. Inf. Forensics Secur.
Weiliang Chen, Qianqian Ren, Yong Liu, Jianguo Sun, Feng Lin
2025 J jnl
Beyond contrastive learning: adaptive graph representations with mutual information maximization for blockchain and structured data.
Complex Intell. Syst.
Yifeng Zhang, Qianqian Ren, Yourong Chen, Meng Han
2025 J jnl
Deep information fusion based on a transformer graph encoder for single-cell multi-omics clustering.
J. King Saud Univ. Comput. Inf. Sci.
Qianqian Ren, Shaoyi Liu, Junliang Shang, Xiyu Liu
2025 — conf
HCLNet: A Hybrid Contrastive Learning Network for Time Series Classification.
ICIC (12)
Xingfeng Lv, Dongxuan Huang, Qianqian Ren, Hui Xu
2025 J jnl
Multi-scale synchronous contextual network for fine-grained urban flow inference.
Inf. Sci.
Lin Pan, Qianqian Ren, Zilong Li, Caihong Zhao
2025 J jnl
Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction With Blockchain.
IEEE Internet Things J.
Weiliang Chen, Li Jia, Yang Zhou, Qianqian Ren
2025 J jnl
Rethinking multi-level information fusion in temporal graphs: Pre-training then distilling for better embedding.
Inf. Fusion
Meng Liu, Yong Liu, Qianqian Ren, Meng Han
2025 J jnl
Rethinking spatial-temporal contrastive learning for Urban traffic flow forecasting: multi-level augmentation framework.
Complex Intell. Syst.
Lin Pan, Qianqian Ren, Zilong Li, Xingfeng Lv
2025 — conf
SUIFS: A Symmetric Uncertainty Based Interactive Feature Selection Method.
ISBRA (1)
Yan Sun, Xiaohan Zhang, Qi Zhong, Junliang Shang, Qianqian Ren, Feng Li, Jin-Xing Liu
2025 — conf
Semi-Supervised Gaussian Mixture Variational Autoencoder with Graph Representation for Epileptic Seizure Detection.
BIBM
Shasha Yuan, Chenchen Jiang, Manman Yuan, Qianqian Ren, Yanfei Guo, Juan Wang
2025 J jnl
SimMF: A Simplified Multi-Factor Modeling Framework for Fine-Grained Urban Flow Inference.
IEEE Signal Process. Lett.
Bingqian Fan, Lin Pan, Qianqian Ren, Xingfeng Lv
2025 J jnl
When multi-view meets multi-level: A novel spatio-temporal transformer for traffic prediction.
Inf. Fusion
Jiaqi Lin, Qianqian Ren, Xingfeng Lv, Hui Xu, Yong Liu
2025 A conf
XDNet: Disentangled Time Series Forecasting via Exponential Decomposition and 2D Periodic Modeling.
CIKM
Kening Huang, Qianqian Ren, Xingfeng Lv
2025 J jnl
pscAdapt: Pre-Trained Domain Adaptation Network Based on Structural Similarity for Cell Type Annotation in Single Cell RNA-seq Data.
IEEE J. Biomed. Health Informatics
Yan Zhao, Junliang Shang, Baojuan Qin, Limin Zhang, Xin He, Daohui Ge, Qianqian Ren, Jin-Xin Liu
2025 J jnl
stMHCG: High-confidence multi-view clustering for identification of spatial domains from spatially resolved transcriptomics.
Neurocomputing
Xiaohan Zhang, Junliang Shang, Yan Zhao, Baojuan Qin, Qianqian Ren, Feng Li, Jin-Xing Liu
2024 J jnl
A Delayed Spiking Neural Membrane System for Adaptive Nearest Neighbor-Based Density Peak Clustering.
Int. J. Neural Syst.
Qianqian Ren, Lianlian Zhang, Shaoyi Liu, Jin-Xing Liu, Junliang Shang, Xiyu Liu
2024 — conf
A Particle Swarm Optimization Algorithm Based on Multi-Population Mutual Learning for SNP-SNP Interaction Detection.
BIBM
Linqian Zhao, Yahan Li, Junliang Shang, Qianqian Ren, Yuanyuan Zhang, Jin-Xing Liu
2024 J jnl
A feature extraction framework for discovering pan-cancer driver genes based on multi-omics data.
Quant. Biol.
Xiaomeng Xue, Feng Li, Junliang Shang, Lingyun Dai, Daohui Ge, Qianqian Ren
2024 J jnl
A general neural membrane computing model.
Inf. Sci.
Xiaoling Zhang, Xiyu Liu, Qianqian Ren, Minghe Sun, Yuzhen Zhao
2024 Misc conf
Adaptive Multi-View Joint Contrastive Learning on Graphs.
ICASSP
Long Chen, Qianqian Ren, Zilong Li, Hui Xu
2024 — conf
Data-Driven Spatiotemporal Aware Graph Hybrid-hop Transformer Network for Traffic Flow Forecasting.
ICPR (4)
Lin Hang, Qianqian Ren, Xingfeng Lv
2024 J jnl
Distillation Enhanced Time Series Forecasting Network with Momentum Contrastive Learning.
CoRR
Haozhi Gao, Qianqian Ren, Jinbao Li
2024 J jnl
Distillation enhanced time series forecasting network with momentum contrastive learning.
Inf. Sci.
Haozhi Gao, Qianqian Ren, Jinbao Li
2024 J jnl
Enhanced Urban Region Profiling with Adversarial Self-Supervised Learning.
CoRR
Weiliang Chan, Qianqian Ren, Jinbao Li
2024 J jnl
FSCME: A Feature Selection Method Combining Copula Correlation and Maximal Information Coefficient by Entropy Weights.
IEEE J. Biomed. Health Informatics
Qi Zhong, Junliang Shang, Qianqian Ren, Feng Li, Cui-Na Jiao, Jin-Xing Liu
2024 J jnl
Joint data augmentations for automated graph contrastive learning and forecasting.
Complex Intell. Syst.
Jiaqi Liu, Yifu Chen, Qianqian Ren, Yang Gao
2024 B conf
MDSTGCN : Multi-Scale Dynamic Spatial-Temporal Graph Convolution Network With Edge Feature Embedding for Traffic Forecasting.
CCGrid
Sijia Liu, Hui Xu, Fanyu Meng, Qianqian Ren
2024 J jnl
MFF-FTNet: Multi-scale Feature Fusion across Frequency and Temporal Domains for Time Series Forecasting.
CoRR
Yangyang Shi, Qianqian Ren, Yong Liu, Jianguo Sun
2024 B conf
MPFormer: Dynamic Traffic Spatial-Temporal Features Forecasting With Multi-Perspective Attentions.
IJCNN
Haobo Zhang, Qianqian Ren, Zilong Li
2024 — conf
Multi-Population Ant Colony Optimization With Knowledge-Based Local Searches for Epistasis Detection.
BIBM
Qianqian Ren, Shaoyi Liu, Lianlian Zhang, Junliang Shang, Feng Li
2024 J jnl
Multi-behavior recommendation with SVD Graph Neural Networks.
Expert Syst. Appl.
Shengxi Fu, Qianqian Ren, Xingfeng Lv, Jinbao Li
2024 — conf
Multi-scale Dilated Attention Enhanced Multi-modal Self-supervised GANs for Recommendation.
ICPR (8)
Yi Xue, Qianqian Ren, Hu Jin
2024 — conf
Multi-views Enhanced Spatio-Temporal Adaptive Transformer for Urban Traffic Prediction.
ICPR (5)
Jiaqi Lin, Qianqian Ren, Hui Xu
2024 J jnl
Reduction Accelerated Adaptive Step-Size FISTA Based Smooth-Lasso Regularization for Fluorescence Molecular Tomography Reconstruction.
Int. J. Imaging Syst. Technol.
Xiaoli Luo, Renhao Jiao, Tao Ma, Yunjie Liu, Zhu Gao, Xiuhong Shen, Qianqian Ren, Heng Zhang, Xiaowei He
2024 J jnl
Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain.
CoRR
Weiliang Chen, Li Jia, Yang Zhou, Qianqian Ren
2024 J jnl
Rethinking Spatio-Temporal Transformer for Traffic Prediction:Multi-level Multi-view Augmented Learning Framework.
CoRR
Jiaqi Lin, Qianqian Ren
2024 — conf
Spatial domains identification based on multi-view contrastive learning in spatial transcriptomics.
BIBM
Yanru Gao, Feng Li, Fanhao Meng, Daohui Ge, Qianqian Ren, Junliang Shang
2024 J jnl
Spatial-temporal memory enhanced multi-level attention network for origin-destination demand prediction.
Complex Intell. Syst.
Jiawei Lu, Lin Pan, Qianqian Ren
2024 — conf
Spatio-Temporal Heterogeneous Graph Neural Network With Multi-view Learning For Traffic Prediction.
ICPR (7)
Liting Song, Qianqian Ren, Ying Zhou
2024 J jnl
Ssleepnet: a structured sleep network for sleep staging based on sleep apnea severity.
Complex Intell. Syst.
Xingfeng Lv, Jun Ma, Jinbao Li, Qianqian Ren
2024 — conf
Time-Aware Intent Contrastive Learning with Rare-Class Sample Generator for Sequential Recommendation.
ICPR (5)
Yichen Liu, Qianqian Ren, Xingfeng Lv
2024 Misc conf
Urban Traffic Flow Forecasting Based on Spatial-Temporal Graph Contrastive Learning.
ICASSP
Lin Pan, Qianqian Ren
2024 B conf
Using Joint Training for Hybrid Automated Augmentations in Graph Contrastive Learning.
IJCNN
Yifu Chen, Qianqian Ren
2023 — conf
ABCAE: Artificial Bee Colony Algorithm with Adaptive Exploitation for Epistatic Interaction Detection.
ISBRA
Qianqian Ren, Yahan Li, Feng Li, Jin-Xing Liu, Junliang Shang
2023 — conf
Crow Search Algorithm Based on Information Interaction for Epistasis Detection.
BIBM
Yaxuan Zhang, Junliang Shang, Yijun Gu, Qianqian Ren, Daohui Ge, Yan Sun
2023 Misc conf
Dual-Stage Graph Convolution Network With Graph Learning For Traffic Prediction.
ICASSP
Zilong Li, Qianqian Ren, Long Chen, Jianguo Sun
2023 J jnl
FSTNet: Learning spatial-temporal correlations from fingerprints for indoor positioning.
Ad Hoc Networks
Qianqian Ren, Yan Wang, Saining Liu, Xingfeng Lv
2023 J jnl
GCCN: Graph Capsule Convolutional Network for Progressive Mild Cognitive Impairment Prediction and Pathogenesis Identification Based on Imaging Genetic Data.
IEEE J. Biomed. Health Informatics
Junliang Shang, Qi Zou, Qianqian Ren, Boxin Guan, Feng Li, Jin-Xing Liu, Yan Sun
2023 J jnl
Hybrid Augmented Automated Graph Contrastive Learning.
CoRR
Yifu Chen, Qianqian Ren, Liu Yong
2023 J jnl
Multi-behavior Recommendation with SVD Graph Neural Networks.
CoRR
Shengxi Fu, Qianqian Ren
2023 C conf
Probing Traffic Trend Forecasting via Spatial-Temporal Aware Learning-Graph Attention.
ACML
Xinyuan Huang, Qianqian Ren
2023 B conf
Progressive Graph Learning over Pruned Dependency Trees For Relation Extraction.
CogSci
Chuang Wang, Qianqian Ren, Shiyang Li, Hui Xu
2023 A conf
Region-Wise Attentive Multi-View Representation Learning For Urban Region Embedding.
CIKM
Weiliang Chan, Qianqian Ren
2023 J jnl
Region-Wise Attentive Multi-View Representation Learning for Urban Region Embeddings.
CoRR
Weiliang Chan, Qianqian Ren
2023 J jnl
Spatial-temporal multi-feature fusion network for long short-term traffic prediction.
Expert Syst. Appl.
Yan Wang, Qianqian Ren, Jinbao Li
2023 — conf
Spectral Clustering of Single-Cell RNA-Sequencing Data by Multiple Feature Sets Affinity.
ICIC (3)
Yang Liu, Feng Li, Junliang Shang, Daohui Ge, Qianqian Ren, Shengjun Li
2023 — conf
Spectral clustering based on multi-similarity learning method for single-cell RNA-seq data.
BIBM
Lianlian Zhang, Shaoyi Liu, Qianqian Ren, Junliang Shang, Xiangzhen Kong, Feng Li
2023 J jnl
Transformer-enhanced periodic temporal convolution network for long short-term traffic flow forecasting.
Expert Syst. Appl.
Qianqian Ren, Yang Li, Yong Liu
2022 — conf
Deep Spatio-Temporal Residual Shrinkage Networks for Traffic Prediction.
HPCC/DSS/SmartCity/DependSys
Ke Sun, Qianqian Ren, Hu Jin, Xingfeng Lv
2022 C conf
Dynamic Graph Convolutional Network for Long Short-term Traffic Flow Prediction.
ISCC
Yan Wang, Qianqian Ren
2022 — conf
HSAELDA: Predicting lncRNA-disease associations based on heterogeneous networks and Stacked Autoencoder.
BIBM
Wen-Yu Xi, Qianqian Ren, Jin-Xing Liu, Ying-Lian Gao
2022 B conf
LSTN: Long Short-Term Traffic Flow Forecasting with Transformer Networks.
ICPR
Yang Li, Qianqian Ren, Hu Jin, Meng Han
2022 — conf
MHILDA: identifying disease-associated lncRNAs by extracting key features from integrated heterogeneous networks.
BIBM
Mingrui Zhang, Junliang Shang, Tongdui Zhang, Qianqian Ren, Guozheng Zhang, Yan Sun
2022 B conf
Multi-Hierarchical Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting.
ICPR
Zilong Li, Qianqian Ren, Long Chen, Xiaohong Sui, Jinbao Li
2022 J jnl
Multi-scale convolutional networks for traffic forecasting with spatial-temporal attention.
Pattern Recognit. Lett.
Zilong Li, Qianqian Ren, Long Chen, Jinbao Li, Xiaokun Li
2022 — conf
Predicting LncRNA-Disease Associations Based on LncRNA-MiRNA-Disease Multilayer Association Network and Bipartite Network Recommendation.
BIBM
Guozheng Zhang, Shu-Zhen Li, Xu-Ran Dou, Junliang Shang, Qianqian Ren, Ying-Lian Gao
2021 C conf
ATFE: A Two-dimensional Feature Encoding-based Sentence-level Attention Model for Distant Supervised Relation Extraction.
SEKE
Shiyang Li, Qianqian Ren, Zechao Liu
2021 Misc conf
Attention-Embedded Decomposed Network with Unpaired CT Images Prior for Metal Artifact Reduction.
ICASSP
Binyu Zhao, Qianqian Ren, Jinbao Li, Yafeng Zhao
2021 — conf
DeepLoc: A Deep Neural Network-based Indoor Positioning Framework.
HPCC/DSS/SmartCity/DependSys
Saining Liu, Qianqian Ren, Jinbao Li, Hui Xu
2021 J jnl
Delayed Spiking Neural P Systems with Scheduled Rules.
Complex.
Qianqian Ren, Xiyu Liu
2021 — conf
Improving Relation Extraction via Joint Coding Using BiLSTM and DCNN.
IEA/AIE (2)
Kaixu Wang, Qianqian Ren, Li Hui, Hui Xu, Shiyang Li, Peng Xu
2020 — conf
A Greedy Heuristic Based Beacons Selection for Localization.
ICA3PP (1)
Fuhua Ma, Qianqian Ren, Jun Li
2020 J jnl
A Reliable Localization Algorithm Based on Grid Coding and Multi-Layer Perceptron.
IEEE Access
Zhengtang Sun, Yang Zhang, Qianqian Ren
2020 — conf
Principal Component Analysis for Fingerprint Positioning.
ICA3PP (1)
Yang Zhang, Qianqian Ren, Jinbao Li, Yu Pan
2020 J jnl
RSSI quantization and genetic algorithm based localization in wireless sensor networks.
Ad Hoc Networks
Qianqian Ren, Yang Zhang, Ioanis Nikolaidis, Jinbao Li, Yu Pan
2020 J jnl
Turing Universality of Weighted Spiking Neural P Systems with Anti-spikes.
Comput. Intell. Neurosci.
Qianqian Ren, Xiyu Liu, Minghe Sun
2020 — conf
Unsupervised Reused Convolutional Network for Metal Artifact Reduction.
ICONIP (4)
Binyu Zhao, Jinbao Li, Qianqian Ren, Yingli Zhong
2019 — conf
A Binary Code Sequence Based Tracking Algorithm in Wireless Sensor Networks.
ICA3PP (2)
Yang Zhang, Qianqian Ren, Yu Pan, Jinbao Li
2019 — conf
Dynamic Ring Structure Based Target Localization Algorithm in Wireless Sensor Networks.
CyberC
Yu Pan, Qianqian Ren, Jinbao Li, Hu Jin
2018 J jnl
Energy efficient tracking in uncertain sensor networks.
Ad Hoc Networks
Qianqian Ren, Jinbao Li, Hongyang Liu
2018 — conf
TTVT: A Two-Tier Voronoi Diagram Based Tracking Algorithm in Wireless Sensor Networks.
CyberC
Qianqian Ren, Jinbao Li, Beibei Sun
2018 — conf
VDTS: A Voronoi Diagram Based Tracking Schemes in Wireless Sensor Networks.
CWSN
Qianqian Ren, Jinbao Li, Yong Liu
2018 J jnl
VisUPI: visual analytics for University Personality Inventory data.
J. Vis.
Zhiguang Zhou, Xiangjun Zhu, Yuhua Liu, Qianqian Ren, Changbo Wang, Tianlong Gu
2016 — conf
MR-MC: A Joint Routing Protocol in Wireless Sensor Networks.
HPCC/SmartCity/DSS
Jinbao Li, Jianliang Xi, Qianqian Ren
2016 — conf
Multi-path Reliable Routing with Pipeline Schedule in Wireless Sensor Networks.
WASA
Jinbao Li, Li Zhang, Longjiang Guo, Qianqian Ren, Yahong Guo
2014 — conf
A Weighted Centroid Based Tracking System in Wireless Sensor Networks.
ICA3PP (1)
Hongyang Liu, Qianqian Ren, Longjiang Guo, Jinbao Li, Hui Xu, Hu Jin, Nan Wang, Chengjie Song
2013 J jnl
Information quality-aware tracking in uncertain sensor network.
Int. J. Sens. Networks
Qianqian Ren, Jianzhong Li
2012 — conf
A Framework of Fire Monitoring System Based on Sensor Networks.
WASA
Longjiang Guo, Yihui Sun, Jinbao Li, Qianqian Ren, Meirui Ren
2011 J jnl
Compressing Information of Target Tracking in Wireless Sensor Networks.
Wirel. Sens. Netw.
Jianzhong Li, Qianqian Ren
2011 B conf
Target Tracking under Uncertainty in Wireless Sensor Networks.
MASS
Qianqian Ren, Jianzhong Li, Siyao Cheng
2010 A* conf
Bernoulli Sampling Based (element of, delta)-Approximate Aggregation in Large-Scale Sensor Networks.
INFOCOM
Siyao Cheng, Jianzhong Li, Qianqian Ren, Lei Yu
2009 B conf
TPSS: A Two-phase Sleep Scheduling Protocol for Object Tracking in Wireless Sensor Networks.
MASS
Qianqian Ren, Jianzhong Li, Hong Gao
2008 — conf
An Approximate Query Processing Method Based on Data Correlation in Sensor Networks.
ICESS
Hu Jin, Qianqian Ren, Jinbao Li, Yong Shi
2008 — conf
An Energy-Efficient Object Tracking Algorithm in Sensor Networks.
WASA
Qianqian Ren, Hong Gao, Shouxu Jiang, Jianzhong Li
2008 — conf
Power-Efficient Data Exchanging Algorithm in Wireless Mesh Networks.
WASA
Jinbao Li, Peng Wang, Qianqian Ren
2008 — conf
Routing in Multi-Sink Sensor Networks Based on Gravitational Field.
ICESS
Jinbao Li, Shouling Ji, Hu Jin, Qianqian Ren
2007 — conf
An Efficient Clustering-Based Method for Data Gathering and Compressing in Sensor Networks.
SNPD (1)
Qianqian Ren, Jianzhong Li, Jinbao Li