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Jianliang Gao
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2020 – today
- 2025
- [j52]Zhenpeng Wu
, Jiamin Chen
Asymmetric augmented paradigm-based graph neural architecture search. Inf. Process. Manag. 62(1): 103897 (2025) - 2024
- [j51]Jiamin Chen
Decoupled differentiable graph neural architecture search. Inf. Sci. 673: 120700 (2024) - [j50]Jianliang Gao, Babatounde Moctard Oloulade
Graph neural architecture prediction. Knowl. Inf. Syst. 66(1): 29-58 (2024) - [j49]Zhenpeng Wu
Adaptive graph contrastive learning with joint optimization of data augmentation and graph encoder. Knowl. Inf. Syst. 66(3): 1657-1681 (2024) - [j48]Yili Wang, Jiamin Chen, Qiutong Li, Changlong He, Jianliang Gao:
Graph neural architecture search with heterogeneous message-passing mechanisms. Knowl. Inf. Syst. 66(7): 4283-4308 (2024) - [j47]Zhenpeng Wu
Depth-adaptive graph neural architecture search for graph classification. Knowl. Based Syst. 301: 112321 (2024) - [j46]Zhao Li, Biao Wang, Jiaming Huang, Yilun Jin, Zenghui Xu, Ji Zhang, Jianliang Gao:
A graph-powered large-scale fraud detection system. Int. J. Mach. Learn. Cybern. 15(1): 115-128 (2024) - [j45]Raeed Al-Sabri
AutoTGRL: an automatic text-graph representation learning framework. Neural Comput. Appl. 36(8): 3941-3965 (2024) - [j44]Raeed Al-Sabri
AutoAMS: Automated attention-based multi-modal graph learning architecture search. Neural Networks 179: 106427 (2024) - [j43]Jianliang Gao
CommGNAS: Unsupervised Graph Neural Architecture Search for Community Detection. IEEE Trans. Emerg. Top. Comput. 12(2): 444-454 (2024) - [j42]Jianliang Gao
AutoDDI: Drug-Drug Interaction Prediction With Automated Graph Neural Network. IEEE J. Biomed. Health Informatics 28(3): 1773-1784 (2024) - [c51]Yili Wang, Jiamin Chen, Qiutong Li, Changlong He, Jianliang Gao:
Relation Time-Aware Heterogeneous Dynamic Graph Neural Networks. ECAI 2024: 1864-1871 - 2023
- [j41]Babatounde Moctard Oloulade
Cancer drug response prediction with surrogate modeling-based graph neural architecture search. Bioinform. 39(8) (2023) - [j40]Zhen Wang
Irregularly Sampled Multivariate Time Series Classification: A Graph Learning Approach. IEEE Intell. Syst. 38(3): 3-11 (2023) - [j39]Jianliang Gao, Raeed Al-Sabri
GM2NAS: multitask multiview graph neural architecture search. Knowl. Inf. Syst. 65(10): 4021-4054 (2023) - [j38]Babatounde Moctard Oloulade
Neural predictor-based automated graph classifier framework. Mach. Learn. 112(4): 1315-1335 (2023) - [j37]Yibo Chen, Zhiyi Jiang, Jianliang Gao, Hongliang Du, Liping Gao, Zhao Li
A supervised and distributed framework for cold-start author disambiguation in large-scale publications. Neural Comput. Appl. 35(18): 13093-13108 (2023) - [j36]Raeed Al-Sabri
Multi-View Graph Neural Architecture Search for Biomedical Entity and Relation Extraction. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1221-1233 (2023) - [j35]Jiamin Chen
AutoMSR: Auto Molecular Structure Representation Learning for Multi-label Metabolic Pathway Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3430-3439 (2023) - [j34]Jianliang Gao
Higher-Order Interaction Goes Neural: A Substructure Assembling Graph Attention Network for Graph Classification. IEEE Trans. Knowl. Data Eng. 35(2): 1594-1608 (2023) - [c50]Shu Liu
TemDep: Temporal Dependency Priority for Multivariate Time Series Prediction. CIKM 2023: 4130-4134 - [c49]Yihua Ma, Jing Liao, Jianliang Gao:
Enhanced Feature Extraction Method for EEG Based on Empirical Mode Decomposition. CSCloud/EdgeCom 2023: 417-422 - [c48]Yuhui Zhong, Jiamin Chen, Jianliang Gao, Jiaheng Wang, Quan Wan:
DTSRN: Dynamic Temporal Spatial Relation Network for Stock Ranking Recommendation. ICONIP (11) 2023: 346-359 - [c47]Zhen Wang, Ting Jiang, Zenghui Xu, Jianliang Gao, Ou Wu, Ke Yan, Ji Zhang:
Uncovering Multivariate Structural Dependency for Analyzing Irregularly Sampled Time Series. ECML/PKDD (5) 2023: 238-254 - [c46]Yili Wang
MSLS: Meta-graph Search with Learnable Supernet for Heterogeneous Graph Neural Networks. SSDBM 2023: 18:1-18:4 - [c45]Jianliang Gao
Decoupled Graph Neural Architecture Search with Variable Propagation Operation and Appropriate Depth. SSDBM 2023: 20:1-20:4 - [c44]Quan Wan
TGSLN : Time-aware Graph Structure Learning Network for Multi-variates Stock Sector Ranking Recommendation. SSDBM 2023: 23:1-23:4 - 2022
- [j33]Cong Xu, Huiling Huang, Xiaoting Ying, Jianliang Gao, Zhao Li, Peng Zhang, Jie Xiao, Jiarun Zhang, Jiangjian Luo:
HGNN: Hierarchical graph neural network for predicting the classification of price-limit-hitting stocks. Inf. Sci. 607: 783-798 (2022) - [j32]Linlin Hou, Ji Zhang, Ou Wu, Ting Yu
Method and dataset entity mining in scientific literature: A CNN + BiLSTM model with self-attention. Knowl. Based Syst. 235: 107621 (2022) - [j31]Jianliang Gao
Predicting the Survival of Cancer Patients With Multimodal Graph Neural Network. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 699-709 (2022) - [j30]Jianliang Gao, Xiaoting Ying, Cong Xu, Jianxin Wang, Shichao Zhang, Zhao Li
Graph-Based Stock Recommendation by Time-Aware Relational Attention Network. ACM Trans. Knowl. Discov. Data 16(1): 4:1-4:21 (2022) - [j29]Ge Zhang
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks. ACM Trans. Inf. Syst. 40(3): 47:1-47:29 (2022) - [j28]Jiamin Chen
Auto-GNAS: A Parallel Graph Neural Architecture Search Framework. IEEE Trans. Parallel Distributed Syst. 33(11): 3117-3128 (2022) - [j27]Zhao Li
Cyclic label propagation for graph semi-supervised learning. World Wide Web 25(2): 703-721 (2022) - [c43]Jiamin Chen, Zhenpeng Wu
Glycan Immunogenicity Prediction with Efficient Automatic Graph Neural Network. BIBM 2022: 309-314 - [c42]Xinqi Lyu, Yibo Chen, Jiamin Chen, Xiangyue Liu, Jianliang Gao:
Spatio-Temporal Based Architecture Topology Search for Multivariate Time Series Prediction. IEEE Big Data 2022: 1304-1309 - [c41]Huiling Huang, Jianliang Gao, Cong Xu, Xiaoting Ying:
Pattern Adaptive Specialist Network for Learning Trading Patterns in Stock Market. CIKM 2022: 4044-4048 - [c40]Qiutong Li, Yanshen He, Cong Xu, Feng Wu, Jianliang Gao, Zhao Li:
Dual-Augment Graph Neural Network for Fraud Detection. CIKM 2022: 4188-4192 - [c39]Xiangyue Liu, Xinqi Lyu, Xiangchi Zhang, Jianliang Gao, Jiamin Chen:
Memory Augmented Graph Learning Networks for Multivariate Time Series Forecasting. CIKM 2022: 4254-4258 - [c38]Yanshen He, Qiutong Li, Feng Wu, Jianliang Gao:
Static-Dynamic Graph Neural Network for Stock Recommendation. SSDBM 2022: 15:1-15:4 - 2021
- [j26]Zhao Li
Large-scale online multi-view graph neural network and applications. Future Gener. Comput. Syst. 116: 145-155 (2021) - [j25]Ping Zhong
An efficient on-demand charging scheduling scheme for mobile charging vehicle. Int. J. Commun. Syst. 34(13) (2021) - [j24]Jianliang Gao
Protein2Vec: Aligning Multiple PPI Networks with Representation Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 240-249 (2021) - [j23]Wei Jiang, Wanchun Jiang
ORP: An Online Rule Placement Scheme to Optimize the Traffic Overhead for Data Center Networks. IEEE Trans. Netw. Sci. Eng. 8(3): 2183-2197 (2021) - [c37]Jiamin Chen, Jianliang Gao, Tengfei Lyu, Babatounde Moctard Oloulade
Multi-label Metabolic Pathway Prediction with Auto Molecular Structure Representation Learning. BIBM 2021: 171-176 - [c36]Raeed Al-Sabri
LAMAD: A Linguistic Attentional Model for Arabic Text Diacritization. EMNLP (Findings) 2021: 3757-3764 - [c35]Jianliang Gao, Zhao Li, Fan Xiong, Xiangyue Liu, Jie Xiao, Biao Wang, Ji Zhang:
TAGCN: Typed Attention Graph Convolutional Networks for Entity Alignment in Cross-lingual Knowledge Graphs. HPCC/DSS/SmartCity/DependSys 2021: 2050-2059 - [c34]Xing Xiang, Yibo Chen, Jun Gao, Ping Zhong, Hong Song, Jianliang Gao:
Cropping Graph Convolution Neural Network for Prediction of Compound Carcinogenicity. ICCSE 2021: 864-869 - [c33]Tengfei Lyu, Jianliang Gao, Ling Tian, Zhao Li, Peng Zhang, Ji Zhang:
MDNN: A Multimodal Deep Neural Network for Predicting Drug-Drug Interaction Events. IJCAI 2021: 3536-3542 - [c32]Jiamin Chen, Jianliang Gao, Yibo Chen, Babatounde Moctard Oloulade
GraphPAS: Parallel Architecture Search for Graph Neural Networks. SIGIR 2021: 2182-2186 - [c31]Zhiyi Jiang, Jianliang Gao, Xinqi Lv:
MetaP: Meta Pattern Learning for One-Shot Knowledge Graph Completion. SIGIR 2021: 2232-2236 - [c30]Jianliang Gao, Cong Xu, Huiling Huang, Xiaoting Ying, Zhao Li, Peng Zhang, Jie Xiao, Jiarun Zhang, Jiangjian Luo:
Predicting Price-Limit-Hitting Stocks with Hierarchical Graph Neural Network. WI/IAT (Workshop/Special Session) 2021: 428-432 - [c29]Zhao Li, Pengrui Hui, Peng Zhang, Jiaming Huang, Biao Wang, Ling Tian, Ji Zhang, Jianliang Gao, Xing Tang:
What Happens Behind the Scene? Towards Fraud Community Detection in E-Commerce from Online to Offline. WWW (Companion Volume) 2021: 105-113 - [i7]Jiamin Chen, Jianliang Gao, Yibo Chen, Babatounde Moctard Oloulade, Tengfei Lyu, Zhao Li:
GraphPAS: Parallel Architecture Search for Graph Neural Networks. CoRR abs/2112.03461 (2021) - 2020
- [j22]Zhao Li
Attention with Long-Term Interval-Based Deep Sequential Learning for Recommendation. Complex. 2020: 6136095:1-6136095:13 (2020) - [j21]Zhao Li
Deep Interest-Shifting Network with Meta-Embeddings for Fresh Item Recommendation. Complex. 2020: 8828087:1-8828087:13 (2020) - [j20]Sean P. Fitzgibbon
The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants. NeuroImage 223: 117303 (2020) - [c28]Jianliang Gao, Ling Tian, Yuxin Liu, Jianxin Wang, Zhao Li, Xiaohua Hu:
Multi-task Based Few-Shot Learning for Disease Similarity Measurement. BIBM 2020: 263-268 - [c27]Yibo Chen, Xing Xiang, Xiao Ling, Xiangchi Zhang, Fan Wu, Jianliang Gao:
Dynamic Load Balance for Hot-spot and Unbalance Region Problems in HBase. IEEE BigData 2020: 2583-2589 - [c26]Xiaoting Ying, Cong Xu, Jianliang Gao, Jianxin Wang, Zhao Li:
Time-aware Graph Relational Attention Network for Stock Recommendation. CIKM 2020: 2281-2284 - [c25]Zhao Li
Attention with Long-Term Interval-Based Gated Recurrent Units for Modeling Sequential User Behaviors. DASFAA (1) 2020: 663-670 - [c24]Jianliang Gao, Tengfei Lyu, Fan Xiong, Jianxin Wang, Weimao Ke, Zhao Li:
MGNN: A Multimodal Graph Neural Network for Predicting the Survival of Cancer Patients. SIGIR 2020: 1697-1700 - [i6]Linlin Hou, Ji Zhang, Ou Wu, Ting Yu, Zhen Wang, Zhao Li, Jianliang Gao, Yingchun Ye, Rujing Yao:
Method and Dataset Entity Mining in Scientific Literature: A CNN + Bi-LSTM Model with Self-attention. CoRR abs/2010.13583 (2020) - [i5]Zhao Li, Donghui Ding, Pengcheng Zou, Yu Gong, Xi Chen, Ji Zhang, Jianliang Gao, Youxi Wu, Yucong Duan:
Distant Supervision for E-commerce Query Segmentation via Attention Network. CoRR abs/2011.04166 (2020) - [i4]Zhao Li, Yixin Liu, Zhen Zhang, Shirui Pan, Jianliang Gao, Jiajun Bu:
Cyclic Label Propagation for Graph Semi-supervised Learning. CoRR abs/2011.11860 (2020)
2010 – 2019
- 2019
- [j19]Yazhou Kong, Jianliang Gao, Yunpei Xu, Yi Pan
Classification of autism spectrum disorder by combining brain connectivity and deep neural network classifier. Neurocomputing 324: 63-68 (2019) - [j18]Jianliang Gao, Jianxin Wang, Jianbiao He, Fengxia Yan:
Against Signed Graph Deanonymization Attacks on Social Networks. Int. J. Parallel Program. 47(4): 725-739 (2019) - [j17]Marco Capuccini, Anders Larsson, Matteo Carone, Jon Ander Novella, Noureddin Sadawi
On-demand virtual research environments using microservices. PeerJ Comput. Sci. 5: e232 (2019) - [c23]Ling Tian, Jianliang Gao, Jianxin Wang, Ying Wang, Bo Song, Xiaohua Hu:
Measuring Disease Similarity Based on Multiple Heterogeneous Disease Information Networks. BIBM 2019: 228-231 - [c22]Hongliang Du, Zhiyi Jiang, Jianliang Gao:
Who is Who: Name Disambiguation in Large-Scale Scientific Literature. ICDM Workshops 2019: 1037-1044 - [c21]Jun Gao, Jianliang Gao:
A Similarity Measurement Method Based on Graph Kernel for Disconnected Graphs. IJCAI 2019: 6430-6431 - [c20]Fan Xiong, Jianliang Gao:
Entity Alignment for Cross-lingual Knowledge Graph with Graph Convolutional Networks. IJCAI 2019: 6480-6481 - [i3]Jianliang Gao, Noureddin Sadawi, Ibrahim Karaman, Jake T. M. Pearce, Pablo A. Moreno, Anders Larsson, Marco Capuccini, Paul Elliott, Jeremy K. Nicholson, Timothy M. D. Ebbels, Robert C. Glen:
Metabolomics in the Cloud: Scaling Computational Tools to Big Data. CoRR abs/1904.02288 (2019) - 2018
- [j16]Ting Li, Neal N. Xiong
Reliable Code Disseminations Through Opportunistic Communication in Vehicular Wireless Networks. IEEE Access 6: 55509-55527 (2018) - [j15]Jianliang Gao, Bo Song, Xiaohua Hu, Fengxia Yan, Jianxin Wang:
ConnectedAlign: a PPI network alignment method for identifying conserved protein complexes across multiple species. BMC Bioinform. 19-S(9): 129-135 (2018) - [j14]Ping Zhong
RCSS: A Real-Time On-Demand Charging Scheduling Scheme for Wireless Rechargeable Sensor Networks. Sensors 18(5): 1601 (2018) - [j13]Lixia Zhang, Jianliang Gao
Incremental Graph Pattern Matching Algorithm for Big Graph Data. Sci. Program. 2018: 6749561:1-6749561:8 (2018) - [j12]Jianliang Gao
On Threshold-Free Error Detection for Industrial Wireless Sensor Networks. IEEE Trans. Ind. Informatics 14(5): 2199-2209 (2018) - [j11]Jianliang Gao, Qing Ping, Jianxin Wang:
Resisting re-identification mining on social graph data. World Wide Web 21(6): 1759-1771 (2018) - [c19]Bo Song, Jianliang Gao, Hongliang Du, Zheng Chen, Xiaohua Hu:
Aligning Multiple PPI Networks with Representation Learning on Networks. BIBM 2018: 136-141 - [c18]Wei Quan, Zheng Chen, Jianliang Gao, Xiaohua Tony Hu:
Comparative Study of CNN and LSTM based Attention Neural Networks for Aspect-Level Opinion Mining. IEEE BigData 2018: 2141-2150 - [c17]Jianliang Gao, Chuqi Lei, Ling Tian, Yuan Ling, Zheng Chen, Bo Song:
Distributed Top-k Subgraph Matching in A Big Graph. IEEE BigData 2018: 5325-5327 - [i2]Marco Capuccini, Anders Larsson, Matteo Carone, Jon Ander Novella, Noureddin Sadawi, Jianliang Gao, Salman Zubair Toor, Ola Spjuth:
KubeNow: an On-Demand Cloud-Agnostic Platform for Microservices-Based Research Environments. CoRR abs/1805.06180 (2018) - [i1]Zheng Chen, Xinli Yu, Chi Zhang, Jin Zhang, Cui Lin, Bo Song, Jianliang Gao, Xiaohua Hu, Wei-Shih Yang, Erjia Yan:
Fast Botnet Detection From Streaming Logs Using Online Lanczos Method. CoRR abs/1812.07810 (2018) - 2017
- [c16]Zheng Chen, Xinli Yu, Chi Zhang, Jin Zhang, Cui Lin, Bo Song, Jianliang Gao, Xiaohua Hu, Wei-Shih Yang, Erjia Yan
Fast botnet detection from streaming logs using online lanczos method. IEEE BigData 2017: 1408-1417 - [c15]Zheng Chen, Xinli Yu, Bo Song, Jianliang Gao, Xiaohua Hu, Wei-Shih Yang:
Community-Based Network Alignment for Large Attributed Network. CIKM 2017: 587-596 - [c14]Ping Zhong
Markov Fluid Queue Model for Rechargeable Sensor Nodes with Abnormal Death. ISPA/IUCC 2017: 801-806 - [c13]Jianliang Gao, Bo Song, Zheng Chen, Weimao Ke, Wanying Ding, Xiaohua Hu:
Counter Deanonymization Query: H-index Based k-Anonymization Privacy Protection for Social Networks. SIGIR 2017: 809-812 - [c12]Ping Zhong
An Adaptive MAC Protocol for Wireless Rechargeable Sensor Networks. WASA 2017: 244-252 - [e1]Jia Hu, Victor C. M. Leung, Kun Yang, Yan Zhang, Jianliang Gao, Shusen Yang:
Smart Grid Inspired Future Technologies - First International Conference, SmartGIFT 2016, Liverpool, UK, May 19-20, 2016, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 175, 2017, ISBN 978-3-319-47728-2 [contents] - 2016
- [j10]Jianliang Gao, Ping Liu, Xuedan Kang, Lixia Zhang, Jianxin Wang:
PRS: Parallel Relaxation Simulation for Massive Graphs. Comput. J. 59(6): 848-860 (2016) - [j9]Renning Xie, Anfeng Liu, Jianliang Gao:
A Residual Energy Aware Schedule Scheme for WSNs Employing Adjustable Awake/Sleep Duty Cycle. Wirel. Pers. Commun. 90(4): 1859-1887 (2016) - [c11]Bo Song, Jianliang Gao, Weimao Ke, Xiaohua Hu:
Achieving high k-coverage and k-consistency in global alignment of multiple PPI networks. BIBM 2016: 303-307 - [c10]Jianliang Gao, Bo Song, Ping Liu, Weimao Ke, Jianxin Wang, Xiaohua Hu:
Parallel top-k subgraph query in massive graphs: Computing from the perspective of single vertex. IEEE BigData 2016: 636-645 - 2014
- [j8]Ming Yang
Numerical simulation on the influence of gob permeability on distribution of air leakage flow field. Int. J. Comput. Sci. Eng. 9(1/2): 147-152 (2014) - [j7]Lixia Zhang, Weiping Wang, Jianliang Gao, Jianxin Wang:
Lossy links diagnosis for wireless sensor networks by utilising the existing traffic information. Int. J. Embed. Syst. 6(2/3): 140-147 (2014) - [j6]Xingpo Ma, Hong Song, Jianxin Wang, Jianliang Gao, Geyong Min:
A Novel Verification Scheme for Fine-Grained Top-k Queries in Two-Tiered Sensor Networks. Wirel. Pers. Commun. 75(3): 1809-1826 (2014) - 2013
- [j5]Jianliang Gao, Jia Hu, Geyong Min, Li Xu:
Analysis of the MAC protocol in low rate wireless personal area networks with bursty ON-OFF traffic. Concurr. Comput. Pract. Exp. 25(1): 85-93 (2013) - [j4]Jianliang Gao, Jianxin Wang, Jianbiao He, Weiping Wang:
QSA: Query Splitting-Based Anticollision for Mobile RFID-Based Internet-of-Things. Int. J. Distributed Sens. Networks 9 (2013) - [c9]Jianliang Gao, Jianxin Wang, Weiping Wang:
Energy-Efficient Multicast Protocol for Real-Time Wireless Sensor Networks. HPCC/EUC 2013: 979-984 - 2012
- [j3]Xingpo Ma, Jianliang Gao, Weiping Wang, Jianxin Wang:
A Virtual-Ring-Based Data Storage and Retrieval Scheme in Wireless Sensor Networks. Int. J. Distributed Sens. Networks 8 (2012) - [c8]Jianliang Gao, Jianxin Wang, Yinhe Han, Lei Zhang, Xiaowei Li:
A clustering-based scheme for concurrent trace in debugging NoC-based multicore systems. DATE 2012: 27-32 - [c7]Jianliang Gao, Jianxin Wang, Xi Zhang:
HMRF-based distributed fault detection for wireless sensor networks. GLOBECOM 2012: 640-644 - 2011
- [c6]Jianliang Gao, Yinhe Han, Xiaowei Li:
Eliminating data invalidation in debugging multiple-clock chips. DATE 2011: 691-696 - 2010
- [j2]Jianliang Gao, Jia Hu, Geyong Min, Li Xu:
QoS analysis of medium access control in LR-WPANs under bursty error channels. Future Gener. Comput. Syst. 26(8): 1426-1432 (2010) - [j1]Jianliang Gao, Yinhe Han, Xiaowei Li:
A Novel Post-Silicon Debug Mechanism Based on Suspect Window. IEICE Trans. Inf. Syst. 93-D(5): 1175-1185 (2010)
2000 – 2009
- 2009
- [c5]Jianliang Gao, Jia Hu, Geyong Min:
Performance Modelling of IEEE 802.15.4 MAC in LR-WPAN with Bursty ON-OFF Traffic. CIT (2) 2009: 58-62 - [c4]Jianliang Gao, Jia Hu, Geyong Min, Li Xu:
QoS Performance Analysis of IEEE 802.15.4 MAC in LR-WPAN with Bursty Error Channels. MSN 2009: 252-256 - [c3]Jianliang Gao, Yinhe Han, Xiaowei Li:
A New Post-Silicon Debug Approach Based on Suspect Window. VTS 2009: 85-90 - 2007
- [c2]Daqi Gao, Wei Wang, Jianliang Gao:
Class-modular multi-layer perceptions, task decomposition and virtually balanced training subsets. IJCNN 2007: 2153-2158 - 2006
- [c1]Zhiwei Lin, Li Xu, Dajin Wang, Jianliang Gao:
A Coloring Based Backbone Construction Algorithm in Wireless Ad Hoc Network. GPC 2006: 509-516
Coauthor Index
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