An Efficient Clustering-Based Method for Data Gathering and Compressing in Sensor Networks. - Qianqian Ren; Jianzhong Li; Jinbao Li (SNPD (1), 2007)

An Approximate Query Processing Method Based on Data Correlation in Sensor Networks. - Hu Jin; Qianqian Ren; Jinbao Li; Yong Shi (ICESS, 2008)

Routing in Multi-Sink Sensor Networks Based on Gravitational Field. - Jinbao Li; Shouling Ji; Hu Jin; Qianqian Ren (ICESS, 2008)

Power-Efficient Data Exchanging Algorithm in Wireless Mesh Networks. - Jinbao Li; Peng Wang; Qianqian Ren (WASA, 2008)

An Energy-Efficient Object Tracking Algorithm in Sensor Networks. - Qianqian Ren; Hong Gao 001; Shouxu Jiang; Jianzhong Li 001 (WASA, 2008)

TPSS: A Two-phase Sleep Scheduling Protocol for Object Tracking in Wireless Sensor Networks. - Qianqian Ren; Jianzhong Li 001; Hong Gao 001 (MASS, 2009)

Bernoulli Sampling Based (element of, delta)-Approximate Aggregation in Large-Scale Sensor Networks. - Siyao Cheng; Jianzhong Li 001; Qianqian Ren; Lei Yu 002 (INFOCOM, 2010)

Target Tracking under Uncertainty in Wireless Sensor Networks. - Qianqian Ren; Jianzhong Li 001; Siyao Cheng (MASS, 2011)

Compressing Information of Target Tracking in Wireless Sensor Networks. - Jianzhong Li; Qianqian Ren (Wirel. Sens. Netw., 2011)

A Framework of Fire Monitoring System Based on Sensor Networks. - Longjiang Guo; Yihui Sun; Jinbao Li; Qianqian Ren; Meirui Ren (WASA, 2012)

Information quality-aware tracking in uncertain sensor network. - Qianqian Ren; Jianzhong Li (Int. J. Sens. Networks, 2013)

A Weighted Centroid Based Tracking System in Wireless Sensor Networks. - Hongyang Liu; Qianqian Ren; Longjiang Guo; Jinbao Li; Hui Xu; Hu Jin; Nan Wang; Chengjie Song (ICA3PP (1), 2014)

MR-MC: A Joint Routing Protocol in Wireless Sensor Networks. - Jinbao Li; Jianliang Xi; Qianqian Ren (HPCC/SmartCity/DSS, 2016)

Multi-path Reliable Routing with Pipeline Schedule in Wireless Sensor Networks. - Jinbao Li; Li Zhang; Longjiang Guo; Qianqian Ren; Yahong Guo (WASA, 2016)

VDTS: A Voronoi Diagram Based Tracking Schemes in Wireless Sensor Networks. - Qianqian Ren; Jinbao Li; Yong Liu 029 (CWSN, 2018)

TTVT: A Two-Tier Voronoi Diagram Based Tracking Algorithm in Wireless Sensor Networks. - Qianqian Ren; Jinbao Li; Beibei Sun (CyberC, 2018)

Energy efficient tracking in uncertain sensor networks. - Qianqian Ren; Jinbao Li; Hongyang Liu (Ad Hoc Networks, 2018)

VisUPI: visual analytics for University Personality Inventory data. - Zhiguang Zhou; Xiangjun Zhu; Yuhua Liu; Qianqian Ren; Changbo Wang; Tianlong Gu (J. Vis., 2018)

Dynamic Ring Structure Based Target Localization Algorithm in Wireless Sensor Networks. - Yu Pan; Qianqian Ren; Jinbao Li; Hu Jin (CyberC, 2019)

A Binary Code Sequence Based Tracking Algorithm in Wireless Sensor Networks. - Yang Zhang 060; Qianqian Ren; Yu Pan; Jinbao Li (ICA3PP (2), 2019)

A Greedy Heuristic Based Beacons Selection for Localization. - Fuhua Ma; Qianqian Ren; Jun Li (ICA3PP (1), 2020)

Principal Component Analysis for Fingerprint Positioning. - Yang Zhang 060; Qianqian Ren; Jinbao Li; Yu Pan (ICA3PP (1), 2020)

Unsupervised Reused Convolutional Network for Metal Artifact Reduction. - Binyu Zhao; Jinbao Li; Qianqian Ren; Yingli Zhong (ICONIP (4), 2020)

A Reliable Localization Algorithm Based on Grid Coding and Multi-Layer Perceptron. - Zhengtang Sun; Yang Zhang 060; Qianqian Ren (IEEE Access, 2020)

RSSI quantization and genetic algorithm based localization in wireless sensor networks. - Qianqian Ren; Yang Zhang 060; Ioanis Nikolaidis; Jinbao Li; Yu Pan (Ad Hoc Networks, 2020)

Turing Universality of Weighted Spiking Neural P Systems with Anti-spikes. - Qianqian Ren; Xiyu Liu 001; Minghe Sun (Comput. Intell. Neurosci., 2020)

DeepLoc: A Deep Neural Network-based Indoor Positioning Framework. - Saining Liu; Qianqian Ren; Jinbao Li; Hui Xu (HPCC/DSS/SmartCity/DependSys, 2021)

Attention-Embedded Decomposed Network with Unpaired CT Images Prior for Metal Artifact Reduction. - Binyu Zhao; Qianqian Ren; Jinbao Li; Yafeng Zhao (ICASSP, 2021)

Improving Relation Extraction via Joint Coding Using BiLSTM and DCNN. - Kaixu Wang; Qianqian Ren; Li Hui; Hui Xu; Shiyang Li; Peng Xu (IEA/AIE (2), 2021)

ATFE: A Two-dimensional Feature Encoding-based Sentence-level Attention Model for Distant Supervised Relation Extraction. - Shiyang Li; Qianqian Ren; Zechao Liu (SEKE, 2021)

Delayed Spiking Neural P Systems with Scheduled Rules. - Qianqian Ren; Xiyu Liu 001 (Complex., 2021)

HSAELDA: Predicting lncRNA-disease associations based on heterogeneous networks and Stacked Autoencoder. - Wen-Yu Xi; Qianqian Ren; Jin-Xing Liu 001; Ying-Lian Gao (BIBM, 2022)

Predicting LncRNA-Disease Associations Based on LncRNA-MiRNA-Disease Multilayer Association Network and Bipartite Network Recommendation. - Guozheng Zhang; Shu-Zhen Li; Xu-Ran Dou; Junliang Shang; Qianqian Ren; Ying-Lian Gao (BIBM, 2022)

MHILDA: identifying disease-associated lncRNAs by extracting key features from integrated heterogeneous networks. - Mingrui Zhang; Junliang Shang; Tongdui Zhang; Qianqian Ren; Guozheng Zhang; Yan Sun (BIBM, 2022)

Deep Spatio-Temporal Residual Shrinkage Networks for Traffic Prediction. - Ke Sun; Qianqian Ren; Hu Jin; Xingfeng Lv (HPCC/DSS/SmartCity/DependSys, 2022)

Multi-Hierarchical Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting. - Zilong Li; Qianqian Ren; Long Chen; Xiaohong Sui; Jinbao Li (ICPR, 2022)

LSTN: Long Short-Term Traffic Flow Forecasting with Transformer Networks. - Yang Li 214; Qianqian Ren; Hu Jin; Meng Han (ICPR, 2022)

Dynamic Graph Convolutional Network for Long Short-term Traffic Flow Prediction. - Yan Wang 089; Qianqian Ren (ISCC, 2022)

Multi-scale convolutional networks for traffic forecasting with spatial-temporal attention. - Zilong Li; Qianqian Ren; Long Chen; Jinbao Li; Xiaokun Li (Pattern Recognit. Lett., 2022)

Probing Traffic Trend Forecasting via Spatial-Temporal Aware Learning-Graph Attention. - Xinyuan Huang; Qianqian Ren (ACML, 2023)

Spectral clustering based on multi-similarity learning method for single-cell RNA-seq data. - Lianlian Zhang; Shaoyi Liu; Qianqian Ren; Junliang Shang; Xiangzhen Kong; Feng Li 033 (BIBM, 2023)

Crow Search Algorithm Based on Information Interaction for Epistasis Detection. - Yaxuan Zhang; Junliang Shang; Yijun Gu; Qianqian Ren; Daohui Ge; Yan Sun (BIBM, 2023)

Region-Wise Attentive Multi-View Representation Learning For Urban Region Embedding. - Weiliang Chan; Qianqian Ren (CIKM, 2023)

Progressive Graph Learning over Pruned Dependency Trees For Relation Extraction. - Chuang Wang; Qianqian Ren; Shiyang Li; Hui Xu (CogSci, 2023)

Dual-Stage Graph Convolution Network With Graph Learning For Traffic Prediction. - Zilong Li; Qianqian Ren; Long Chen; Jianguo Sun (ICASSP, 2023)

Spectral Clustering of Single-Cell RNA-Sequencing Data by Multiple Feature Sets Affinity. - Yang Liu; Feng Li 033; Junliang Shang; Daohui Ge; Qianqian Ren; Shengjun Li (ICIC (3), 2023)

ABCAE: Artificial Bee Colony Algorithm with Adaptive Exploitation for Epistatic Interaction Detection. - Qianqian Ren; Yahan Li; Feng Li 033; Jin-Xing Liu 001; Junliang Shang (ISBRA, 2023)

Hybrid Augmented Automated Graph Contrastive Learning. - Yifu Chen; Qianqian Ren; Liu Yong (CoRR, 2023)

Region-Wise Attentive Multi-View Representation Learning for Urban Region Embeddings. - Weiliang Chan; Qianqian Ren (CoRR, 2023)

Multi-behavior Recommendation with SVD Graph Neural Networks. - Shengxi Fu; Qianqian Ren (CoRR, 2023)

GCCN: Graph Capsule Convolutional Network for Progressive Mild Cognitive Impairment Prediction and Pathogenesis Identification Based on Imaging Genetic Data. - Junliang Shang; Qi Zou 003; Qianqian Ren; Boxin Guan; Feng Li 033; Jin-Xing Liu 001; Yan Sun (IEEE J. Biomed. Health Informatics, 2023)

Spatial-temporal multi-feature fusion network for long short-term traffic prediction. - Yan Wang 089; Qianqian Ren; Jinbao Li (Expert Syst. Appl., 2023)

FSTNet: Learning spatial-temporal correlations from fingerprints for indoor positioning. - Qianqian Ren; Yan Wang 089; Saining Liu; Xingfeng Lv (Ad Hoc Networks, 2023)

Transformer-enhanced periodic temporal convolution network for long short-term traffic flow forecasting. - Qianqian Ren; Yang Li 214; Yong Liu 029 (Expert Syst. Appl., 2023)

Spatial domains identification based on multi-view contrastive learning in spatial transcriptomics. - Yanru Gao; Feng Li 033; Fanhao Meng; Daohui Ge; Qianqian Ren; Junliang Shang (BIBM, 2024)

Multi-Population Ant Colony Optimization With Knowledge-Based Local Searches for Epistasis Detection. - Qianqian Ren; Shaoyi Liu; Lianlian Zhang; Junliang Shang; Feng Li 033 (BIBM, 2024)

A Particle Swarm Optimization Algorithm Based on Multi-Population Mutual Learning for SNP-SNP Interaction Detection. - Linqian Zhao; Yahan Li; Junliang Shang; Qianqian Ren; Yuanyuan Zhang 008; Jin-Xing Liu 001 (BIBM, 2024)

MDSTGCN : Multi-Scale Dynamic Spatial-Temporal Graph Convolution Network With Edge Feature Embedding for Traffic Forecasting. - Sijia Liu; Hui Xu; Fanyu Meng; Qianqian Ren (CCGrid, 2024)

Adaptive Multi-View Joint Contrastive Learning on Graphs. - Long Chen; Qianqian Ren; Zilong Li; Hui Xu (ICASSP, 2024)

Urban Traffic Flow Forecasting Based on Spatial-Temporal Graph Contrastive Learning. - Lin Pan; Qianqian Ren (ICASSP, 2024)

Data-Driven Spatiotemporal Aware Graph Hybrid-hop Transformer Network for Traffic Flow Forecasting. - Lin Hang; Qianqian Ren; Xingfeng Lv (ICPR (4), 2024)

Multi-views Enhanced Spatio-Temporal Adaptive Transformer for Urban Traffic Prediction. - Jiaqi Lin; Qianqian Ren; Hui Xu (ICPR (5), 2024)

Time-Aware Intent Contrastive Learning with Rare-Class Sample Generator for Sequential Recommendation. - Yichen Liu; Qianqian Ren; Xingfeng Lv (ICPR (5), 2024)

Spatio-Temporal Heterogeneous Graph Neural Network With Multi-view Learning For Traffic Prediction. - Liting Song; Qianqian Ren; Ying Zhou (ICPR (7), 2024)

Multi-scale Dilated Attention Enhanced Multi-modal Self-supervised GANs for Recommendation. - Yi Xue; Qianqian Ren; Hu Jin (ICPR (8), 2024)

Using Joint Training for Hybrid Automated Augmentations in Graph Contrastive Learning. - Yifu Chen; Qianqian Ren (IJCNN, 2024)

MPFormer: Dynamic Traffic Spatial-Temporal Features Forecasting With Multi-Perspective Attentions. - Haobo Zhang; Qianqian Ren; Zilong Li (IJCNN, 2024)

Enhanced Urban Region Profiling with Adversarial Self-Supervised Learning. - Weiliang Chan; Qianqian Ren; Jinbao Li (CoRR, 2024)

Rethinking Spatio-Temporal Transformer for Traffic Prediction:Multi-level Multi-view Augmented Learning Framework. - Jiaqi Lin; Qianqian Ren (CoRR, 2024)

Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain. - Weiliang Chen; Li Jia 002; Yang Zhou; Qianqian Ren (CoRR, 2024)

MFF-FTNet: Multi-scale Feature Fusion across Frequency and Temporal Domains for Time Series Forecasting. - Yangyang Shi; Qianqian Ren; Yong Liu; Jianguo Sun (CoRR, 2024)

Multi-behavior recommendation with SVD Graph Neural Networks. - Shengxi Fu; Qianqian Ren; Xingfeng Lv; Jinbao Li (Expert Syst. Appl., 2024)

Reduction Accelerated Adaptive Step-Size FISTA Based Smooth-Lasso Regularization for Fluorescence Molecular Tomography Reconstruction. - Xiaoli Luo; Renhao Jiao; Tao Ma; Yunjie Liu; Zhu Gao; Xiuhong Shen; Qianqian Ren; Heng Zhang; Xiaowei He (Int. J. Imaging Syst. Technol., 2024)

Distillation enhanced time series forecasting network with momentum contrastive learning. - Haozhi Gao; Qianqian Ren; Jinbao Li (Inf. Sci., 2024)

A general neural membrane computing model. - Xiaoling Zhang; Xiyu Liu 001; Qianqian Ren; Minghe Sun; Yuzhen Zhao (Inf. Sci., 2024)

A feature extraction framework for discovering pan-cancer driver genes based on multi-omics data. - Xiaomeng Xue; Feng Li 033; Junliang Shang; Lingyun Dai; Daohui Ge; Qianqian Ren (Quant. Biol., 2024)

FSCME: A Feature Selection Method Combining Copula Correlation and Maximal Information Coefficient by Entropy Weights. - Qi Zhong; Junliang Shang; Qianqian Ren; Feng Li 033; Cui-Na Jiao; Jin-Xing Liu 001 (IEEE J. Biomed. Health Informatics, 2024)

A Delayed Spiking Neural Membrane System for Adaptive Nearest Neighbor-Based Density Peak Clustering. - Qianqian Ren; Lianlian Zhang; Shaoyi Liu; Jin-Xing Liu 001; Junliang Shang; Xiyu Liu 001 (Int. J. Neural Syst., 2024)

HCLNet: A Hybrid Contrastive Learning Network for Time Series Classification. - Xingfeng Lv; Dongxuan Huang; Qianqian Ren; Hui Xu (ICIC (12), 2025)

SUIFS: A Symmetric Uncertainty Based Interactive Feature Selection Method. - Yan Sun; Xiaohan Zhang; Qi Zhong; Junliang Shang; Qianqian Ren; Feng Li 033; Jin-Xing Liu (ISBRA (1), 2025)

stMHCG: High-confidence multi-view clustering for identification of spatial domains from spatially resolved transcriptomics. - Xiaohan Zhang; Junliang Shang; Yan Zhao; Baojuan Qin; Qianqian Ren; Feng Li 033; Jin-Xing Liu 001 (Neurocomputing, 2025)

When multi-view meets multi-level: A novel spatio-temporal transformer for traffic prediction. - Jiaqi Lin; Qianqian Ren; Xingfeng Lv; Hui Xu; Yong Liu 029 (Inf. Fusion, 2025)

Rethinking multi-level information fusion in temporal graphs: Pre-training then distilling for better embedding. - Meng Liu 014; Yong Liu 029; Qianqian Ren; Meng Han (Inf. Fusion, 2025)

Multi-scale synchronous contextual network for fine-grained urban flow inference. - Lin Pan; Qianqian Ren; Zilong Li; Caihong Zhao (Inf. Sci., 2025)

SimMF: A Simplified Multi-Factor Modeling Framework for Fine-Grained Urban Flow Inference. - Bingqian Fan; Lin Pan; Qianqian Ren; Xingfeng Lv (IEEE Signal Process. Lett., 2025)

Adversarial Self-Supervised Learning for Secure and Robust Urban Region Profiling. - Weiliang Chen; Qianqian Ren; Yong Liu 029; Jianguo Sun; Feng Lin 004 (IEEE Trans. Inf. Forensics Secur., 2025)

pscAdapt: Pre-Trained Domain Adaptation Network Based on Structural Similarity for Cell Type Annotation in Single Cell RNA-seq Data. - Yan Zhao; Junliang Shang; Baojuan Qin; Limin Zhang; Xin He; Daohui Ge; Qianqian Ren; Jin-Xin Liu 001 (IEEE J. Biomed. Health Informatics, 2025)

Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction With Blockchain. - Weiliang Chen; Li Jia; Yang Zhou; Qianqian Ren (IEEE Internet Things J., 2025)

SKGRec: Unifying temporal dynamics and knowledge graphs for robust recommendations. - Yichen Liu; Shengxi Fu; Qianqian Ren; Xingfeng Lv; Jinbao Li (Expert Syst. Appl., 2026)

KAN-infused social recommendation: A contrastive graph learning approach with bidirectional feature fusion. - Yichen Liu; Qianqian Ren; Shengxi Fu; Yong Liu (Inf. Fusion, 2026)