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Qianqian Ren
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2020 – today
- 2025
- [j21]Lin Pan, Qianqian Ren, Zilong Li, Caihong Zhao:
Multi-scale synchronous contextual network for fine-grained urban flow inference. Inf. Sci. 689: 121459 (2025) - 2024
- [j20]Shengxi Fu, Qianqian Ren, Xingfeng Lv, Jinbao Li:
Multi-behavior recommendation with SVD Graph Neural Networks. Expert Syst. Appl. 249: 123575 (2024) - [j19]Qianqian Ren, Lianlian Zhang, Shaoyi Liu, Jin-Xing Liu, Junliang Shang, Xiyu Liu:
A Delayed Spiking Neural Membrane System for Adaptive Nearest Neighbor-Based Density Peak Clustering. Int. J. Neural Syst. 34(10): 2450050:1-2450050:15 (2024) - [j18]Xiaoli Luo, Renhao Jiao, Tao Ma, Yunjie Liu, Zhu Gao, Xiuhong Shen, Qianqian Ren, Heng Zhang, Xiaowei He:
Reduction Accelerated Adaptive Step-Size FISTA Based Smooth-Lasso Regularization for Fluorescence Molecular Tomography Reconstruction. Int. J. Imaging Syst. Technol. 34(5) (2024) - [j17]Xiaoling Zhang, Xiyu Liu, Qianqian Ren, Minghe Sun, Yuzhen Zhao:
A general neural membrane computing model. Inf. Sci. 672: 120686 (2024) - [j16]Haozhi Gao, Qianqian Ren, Jinbao Li:
Distillation enhanced time series forecasting network with momentum contrastive learning. Inf. Sci. 675: 120712 (2024) - [j15]Xiaomeng Xue, Feng Li, Junliang Shang, Lingyun Dai, Daohui Ge, Qianqian Ren:
A feature extraction framework for discovering pan-cancer driver genes based on multi-omics data. Quant. Biol. 12(2): 173-181 (2024) - [j14]Qi Zhong, Junliang Shang, Qianqian Ren, Feng Li, Cui-Na Jiao, Jin-Xing Liu:
FSCME: A Feature Selection Method Combining Copula Correlation and Maximal Information Coefficient by Entropy Weights. IEEE J. Biomed. Health Informatics 28(9): 5638-5648 (2024) - [c48]Sijia Liu, Hui Xu, Fanyu Meng, Qianqian Ren:
MDSTGCN : Multi-Scale Dynamic Spatial-Temporal Graph Convolution Network With Edge Feature Embedding for Traffic Forecasting. CCGrid 2024: 284-290 - [c47]Lin Pan, Qianqian Ren:
Urban Traffic Flow Forecasting Based on Spatial-Temporal Graph Contrastive Learning. ICASSP 2024: 5560-5564 - [c46]Long Chen, Qianqian Ren, Zilong Li, Hui Xu:
Adaptive Multi-View Joint Contrastive Learning on Graphs. ICASSP 2024: 5860-5864 - [c45]Jiaqi Lin, Qianqian Ren, Hui Xu:
Multi-views Enhanced Spatio-Temporal Adaptive Transformer for Urban Traffic Prediction. ICPR (5) 2024: 1-13 - [c44]Liting Song, Qianqian Ren, Ying Zhou:
Spatio-Temporal Heterogeneous Graph Neural Network With Multi-view Learning For Traffic Prediction. ICPR (7) 2024: 35-52 - [c43]Yichen Liu, Qianqian Ren, Xingfeng Lv:
Time-Aware Intent Contrastive Learning with Rare-Class Sample Generator for Sequential Recommendation. ICPR (5) 2024: 110-123 - [c42]Yi Xue, Qianqian Ren, Hu Jin:
Multi-scale Dilated Attention Enhanced Multi-modal Self-supervised GANs for Recommendation. ICPR (8) 2024: 113-125 - [c41]Lin Hang, Qianqian Ren, Xingfeng Lv:
Data-Driven Spatiotemporal Aware Graph Hybrid-hop Transformer Network for Traffic Flow Forecasting. ICPR (4) 2024: 275-289 - [c40]Yifu Chen, Qianqian Ren:
Using Joint Training for Hybrid Automated Augmentations in Graph Contrastive Learning. IJCNN 2024: 1-8 - [c39]Haobo Zhang, Qianqian Ren, Zilong Li:
MPFormer: Dynamic Traffic Spatial-Temporal Features Forecasting With Multi-Perspective Attentions. IJCNN 2024: 1-8 - [i7]Haozhi Gao, Qianqian Ren, Jinbao Li:
Distillation Enhanced Time Series Forecasting Network with Momentum Contrastive Learning. CoRR abs/2401.17802 (2024) - [i6]Weiliang Chan, Qianqian Ren, Jinbao Li:
Enhanced Urban Region Profiling with Adversarial Self-Supervised Learning. CoRR abs/2402.01163 (2024) - [i5]Jiaqi Lin, Qianqian Ren:
Rethinking Spatio-Temporal Transformer for Traffic Prediction:Multi-level Multi-view Augmented Learning Framework. CoRR abs/2406.11921 (2024) - [i4]Weiliang Chen, Li Jia, Yang Zhou, Qianqian Ren:
Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain. CoRR abs/2407.19428 (2024) - 2023
- [j13]Qianqian Ren, Yan Wang, Saining Liu, Xingfeng Lv:
FSTNet: Learning spatial-temporal correlations from fingerprints for indoor positioning. Ad Hoc Networks 149: 103244 (2023) - [j12]Yan Wang, Qianqian Ren, Jinbao Li:
Spatial-temporal multi-feature fusion network for long short-term traffic prediction. Expert Syst. Appl. 224: 119959 (2023) - [j11]Qianqian Ren, Yang Li, Yong Liu:
Transformer-enhanced periodic temporal convolution network for long short-term traffic flow forecasting. Expert Syst. Appl. 227: 120203 (2023) - [j10]Junliang Shang, Qi Zou, Qianqian Ren, Boxin Guan, Feng Li, Jin-Xing Liu, Yan Sun:
GCCN: Graph Capsule Convolutional Network for Progressive Mild Cognitive Impairment Prediction and Pathogenesis Identification Based on Imaging Genetic Data. IEEE J. Biomed. Health Informatics 27(6): 2968-2979 (2023) - [c38]Xinyuan Huang, Qianqian Ren:
Probing Traffic Trend Forecasting via Spatial-Temporal Aware Learning-Graph Attention. ACML 2023: 486-501 - [c37]Lianlian Zhang, Shaoyi Liu, Qianqian Ren, Junliang Shang, Xiangzhen Kong, Feng Li:
Spectral clustering based on multi-similarity learning method for single-cell RNA-seq data. BIBM 2023: 3241-3248 - [c36]Yaxuan Zhang, Junliang Shang, Yijun Gu, Qianqian Ren, Daohui Ge, Yan Sun:
Crow Search Algorithm Based on Information Interaction for Epistasis Detection. BIBM 2023: 3249-3256 - [c35]Weiliang Chan, Qianqian Ren:
Region-Wise Attentive Multi-View Representation Learning For Urban Region Embedding. CIKM 2023: 3763-3767 - [c34]Chuang Wang, Qianqian Ren, Shiyang Li, Hui Xu:
Progressive Graph Learning over Pruned Dependency Trees For Relation Extraction. CogSci 2023 - [c33]Zilong Li, Qianqian Ren, Long Chen, Jianguo Sun:
Dual-Stage Graph Convolution Network With Graph Learning For Traffic Prediction. ICASSP 2023: 1-5 - [c32]Yang Liu, Feng Li, Junliang Shang, Daohui Ge, Qianqian Ren, Shengjun Li:
Spectral Clustering of Single-Cell RNA-Sequencing Data by Multiple Feature Sets Affinity. ICIC (3) 2023: 268-278 - [c31]Qianqian Ren, Yahan Li, Feng Li, Jin-Xing Liu, Junliang Shang:
ABCAE: Artificial Bee Colony Algorithm with Adaptive Exploitation for Epistatic Interaction Detection. ISBRA 2023: 190-201 - [i3]Yifu Chen, Qianqian Ren, Liu Yong:
Hybrid Augmented Automated Graph Contrastive Learning. CoRR abs/2303.15182 (2023) - [i2]Weiliang Chan, Qianqian Ren:
Region-Wise Attentive Multi-View Representation Learning for Urban Region Embeddings. CoRR abs/2307.03212 (2023) - [i1]Shengxi Fu, Qianqian Ren:
Multi-behavior Recommendation with SVD Graph Neural Networks. CoRR abs/2309.06912 (2023) - 2022
- [j9]Zilong Li, Qianqian Ren, Long Chen, Jinbao Li, Xiaokun Li:
Multi-scale convolutional networks for traffic forecasting with spatial-temporal attention. Pattern Recognit. Lett. 164: 53-59 (2022) - [c30]Wen-Yu Xi, Qianqian Ren, Jin-Xing Liu, Ying-Lian Gao:
HSAELDA: Predicting lncRNA-disease associations based on heterogeneous networks and Stacked Autoencoder. BIBM 2022: 607-612 - [c29]Guozheng Zhang, Shu-Zhen Li, Xu-Ran Dou, Junliang Shang, Qianqian Ren, Ying-Lian Gao:
Predicting LncRNA-Disease Associations Based on LncRNA-MiRNA-Disease Multilayer Association Network and Bipartite Network Recommendation. BIBM 2022: 2216-2223 - [c28]Mingrui Zhang, Junliang Shang, Tongdui Zhang, Qianqian Ren, Guozheng Zhang, Yan Sun:
MHILDA: identifying disease-associated lncRNAs by extracting key features from integrated heterogeneous networks. BIBM 2022: 3320-3327 - [c27]Ke Sun, Qianqian Ren, Hu Jin, Xingfeng Lv:
Deep Spatio-Temporal Residual Shrinkage Networks for Traffic Prediction. HPCC/DSS/SmartCity/DependSys 2022: 1036-1041 - [c26]Yang Li, Qianqian Ren, Hu Jin, Meng Han:
LSTN: Long Short-Term Traffic Flow Forecasting with Transformer Networks. ICPR 2022: 4793-4800 - [c25]Zilong Li, Qianqian Ren, Long Chen, Xiaohong Sui, Jinbao Li:
Multi-Hierarchical Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting. ICPR 2022: 4913-4919 - [c24]Yan Wang, Qianqian Ren:
Dynamic Graph Convolutional Network for Long Short-term Traffic Flow Prediction. ISCC 2022: 1-6 - 2021
- [j8]Qianqian Ren, Xiyu Liu:
Delayed Spiking Neural P Systems with Scheduled Rules. Complex. 2021: 6817636:1-6817636:13 (2021) - [c23]Saining Liu, Qianqian Ren, Jinbao Li, Hui Xu:
DeepLoc: A Deep Neural Network-based Indoor Positioning Framework. HPCC/DSS/SmartCity/DependSys 2021: 1735-1740 - [c22]Binyu Zhao, Qianqian Ren, Jinbao Li, Yafeng Zhao:
Attention-Embedded Decomposed Network with Unpaired CT Images Prior for Metal Artifact Reduction. ICASSP 2021: 2400-2404 - [c21]Kaixu Wang, Qianqian Ren, Li Hui, Hui Xu, Shiyang Li, Peng Xu:
Improving Relation Extraction via Joint Coding Using BiLSTM and DCNN. IEA/AIE (2) 2021: 617-628 - [c20]Shiyang Li, Qianqian Ren, Zechao Liu:
ATFE: A Two-dimensional Feature Encoding-based Sentence-level Attention Model for Distant Supervised Relation Extraction. SEKE 2021: 604-609 - 2020
- [j7]Zhengtang Sun, Yang Zhang, Qianqian Ren:
A Reliable Localization Algorithm Based on Grid Coding and Multi-Layer Perceptron. IEEE Access 8: 60979-60989 (2020) - [j6]Qianqian Ren, Yang Zhang, Ioanis Nikolaidis, Jinbao Li, Yu Pan:
RSSI quantization and genetic algorithm based localization in wireless sensor networks. Ad Hoc Networks 107: 102255 (2020) - [j5]Qianqian Ren, Xiyu Liu, Minghe Sun:
Turing Universality of Weighted Spiking Neural P Systems with Anti-spikes. Comput. Intell. Neurosci. 2020: 8892240:1-8892240:10 (2020) - [c19]Yang Zhang, Qianqian Ren, Jinbao Li, Yu Pan:
Principal Component Analysis for Fingerprint Positioning. ICA3PP (1) 2020: 305-313 - [c18]Fuhua Ma, Qianqian Ren, Jun Li:
A Greedy Heuristic Based Beacons Selection for Localization. ICA3PP (1) 2020: 710-718 - [c17]Binyu Zhao, Jinbao Li, Qianqian Ren, Yingli Zhong:
Unsupervised Reused Convolutional Network for Metal Artifact Reduction. ICONIP (4) 2020: 589-596
2010 – 2019
- 2019
- [c16]Yu Pan, Qianqian Ren, Jinbao Li, Hu Jin:
Dynamic Ring Structure Based Target Localization Algorithm in Wireless Sensor Networks. CyberC 2019: 375-378 - [c15]Yang Zhang, Qianqian Ren, Yu Pan, Jinbao Li:
A Binary Code Sequence Based Tracking Algorithm in Wireless Sensor Networks. ICA3PP (2) 2019: 577-583 - 2018
- [j4]Qianqian Ren, Jinbao Li, Hongyang Liu:
Energy efficient tracking in uncertain sensor networks. Ad Hoc Networks 81: 45-55 (2018) - [j3]Zhiguang Zhou, Xiangjun Zhu, Yuhua Liu, Qianqian Ren, Changbo Wang, Tianlong Gu:
VisUPI: visual analytics for University Personality Inventory data. J. Vis. 21(5): 885-901 (2018) - [c14]Qianqian Ren, Jinbao Li, Yong Liu:
VDTS: A Voronoi Diagram Based Tracking Schemes in Wireless Sensor Networks. CWSN 2018: 21-32 - [c13]Qianqian Ren, Jinbao Li, Beibei Sun:
TTVT: A Two-Tier Voronoi Diagram Based Tracking Algorithm in Wireless Sensor Networks. CyberC 2018 - 2016
- [c12]Jinbao Li, Jianliang Xi, Qianqian Ren:
MR-MC: A Joint Routing Protocol in Wireless Sensor Networks. HPCC/SmartCity/DSS 2016: 231-236 - [c11]Jinbao Li, Li Zhang, Longjiang Guo, Qianqian Ren, Yahong Guo:
Multi-path Reliable Routing with Pipeline Schedule in Wireless Sensor Networks. WASA 2016: 126-138 - 2014
- [c10]Hongyang Liu, Qianqian Ren, Longjiang Guo, Jinbao Li, Hui Xu, Hu Jin, Nan Wang, Chengjie Song:
A Weighted Centroid Based Tracking System in Wireless Sensor Networks. ICA3PP (1) 2014: 166-178 - 2013
- [j2]Qianqian Ren, Jianzhong Li:
Information quality-aware tracking in uncertain sensor network. Int. J. Sens. Networks 14(1): 33-41 (2013) - 2012
- [c9]Longjiang Guo, Yihui Sun, Jinbao Li, Qianqian Ren, Meirui Ren:
A Framework of Fire Monitoring System Based on Sensor Networks. WASA 2012: 398-410 - 2011
- [j1]Jianzhong Li, Qianqian Ren:
Compressing Information of Target Tracking in Wireless Sensor Networks. Wirel. Sens. Netw. 3(2): 73-81 (2011) - [c8]Qianqian Ren, Jianzhong Li, Siyao Cheng:
Target Tracking under Uncertainty in Wireless Sensor Networks. MASS 2011: 430-439 - 2010
- [c7]Siyao Cheng, Jianzhong Li, Qianqian Ren, Lei Yu:
Bernoulli Sampling Based (element of, delta)-Approximate Aggregation in Large-Scale Sensor Networks. INFOCOM 2010: 1181-1189
2000 – 2009
- 2009
- [c6]Qianqian Ren, Jianzhong Li, Hong Gao:
TPSS: A Two-phase Sleep Scheduling Protocol for Object Tracking in Wireless Sensor Networks. MASS 2009: 458-465 - 2008
- [c5]Hu Jin, Qianqian Ren, Jinbao Li, Yong Shi:
An Approximate Query Processing Method Based on Data Correlation in Sensor Networks. ICESS 2008: 13-18 - [c4]Jinbao Li, Shouling Ji, Hu Jin, Qianqian Ren:
Routing in Multi-Sink Sensor Networks Based on Gravitational Field. ICESS 2008: 368-375 - [c3]Qianqian Ren, Hong Gao, Shouxu Jiang, Jianzhong Li:
An Energy-Efficient Object Tracking Algorithm in Sensor Networks. WASA 2008: 237-248 - [c2]Jinbao Li, Peng Wang, Qianqian Ren:
Power-Efficient Data Exchanging Algorithm in Wireless Mesh Networks. WASA 2008: 444-453 - 2007
- [c1]Qianqian Ren, Jianzhong Li, Jinbao Li:
An Efficient Clustering-Based Method for Data Gathering and Compressing in Sensor Networks. SNPD (1) 2007: 823-828
Coauthor Index
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last updated on 2024-12-13 19:12 CET by the dblp team
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