Jianliang Gao

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 90

Top Venues

Publications

Raeed Al-Sabri, Jianliang Gao, Jiamin Chen, Oloulade Babatounde Moctard, Tengfei Lyu
AutoTGRL: an automatic text-graph representation learning framework. Neural Comput. Appl. 36 (8) (2024)
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) (2024)
Zhenpeng Wu, Jiamin Chen, Raeed Al-Sabri, Oloulade Babatounde Moctard, Jianliang Gao
Adaptive graph contrastive learning with joint optimization of data augmentation and graph encoder. Knowl. Inf. Syst. 66 (3) (2024)
Jianliang Gao, Zhenpeng Wu, Raeed Al-Sabri, Babatounde Moctard Oloulade, Jiamin Chen
AutoDDI: Drug-Drug Interaction Prediction With Automated Graph Neural Network. IEEE J. Biomed. Health Informatics 28 (3) (2024)
Yili Wang, Jiamin Chen, Qiutong Li, Changlong He, Jianliang Gao
Graph neural architecture search with heterogeneous message-passing mechanisms. Knowl. Inf. Syst. 66 (7) (2024)
Jiamin Chen, Jianliang Gao, Zhenpeng Wu, Raeed Al-Sabri, Babatounde Moctard Oloulade
Decoupled differentiable graph neural architecture search. Inf. Sci. 673 (2024)
Raeed Al-Sabri, Jianliang Gao, Jiamin Chen, Babatounde Moctard Oloulade, Zhenpeng Wu
AutoAMS: Automated attention-based multi-modal graph learning architecture search. Neural Networks 179 (2024)
Jianliang Gao, Jiamin Chen, Babatounde Moctard Oloulade, Raeed Al-Sabri, Tengfei Lyu, Ji Zhang, Zhao Li
CommGNAS: Unsupervised Graph Neural Architecture Search for Community Detection. IEEE Trans. Emerg. Top. Comput. 12 (2) (2024)
Jianliang Gao, Moctard Babatounde Oloulade, Raeed Al-Sabri, Jiamin Chen, Tengfei Lyu, Zhenpeng Wu
Graph neural architecture prediction. Knowl. Inf. Syst. 66 (1) (2024)
Jianliang Gao, Raeed Al-Sabri, Moctard Babatounde Oloulade, Jiamin Chen, Tengfei Lyu, Zhenpeng Wu
GM2NAS: multitask multiview graph neural architecture search. Knowl. Inf. Syst. 65 (10) (2023)
Shu Liu, Jiaheng Wang, Jiamin Chen, Jianliang Gao, Yuhui Zhong
TemDep: Temporal Dependency Priority for Multivariate Time Series Prediction. CIKM (2023)
Babatounde Moctard Oloulade, Jianliang Gao, Jiamin Chen, Raeed Al-Sabri, Zhenpeng Wu
Cancer drug response prediction with surrogate modeling-based graph neural architecture search. Bioinform. 39 (8) (2023)
Jianliang Gao, Jun Gao, Xiaoting Ying, Mingming Lu, Jian-Xin Wang
Higher-Order Interaction Goes Neural: A Substructure Assembling Graph Attention Network for Graph Classification. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Yuhui Zhong, Jiamin Chen, Jianliang Gao, Jiaheng Wang, Quan Wan
DTSRN: Dynamic Temporal Spatial Relation Network for Stock Ranking Recommendation. ICONIP (11) (2023)
Jianliang Gao, Changlong He, Jiamin Chen, Qiutong Li, Yili Wang
Decoupled Graph Neural Architecture Search with Variable Propagation Operation and Appropriate Depth. SSDBM (2023)
Jiamin Chen, Jianliang Gao, Tengfei Lyu, Oloulade Babatounde Moctard, Xiaohua Hu
AutoMSR: Auto Molecular Structure Representation Learning for Multi-label Metabolic Pathway Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (6) (2023)
Yili Wang, Jiamin Chen, Qiutong Li, Changlong He, Jianliang Gao
MSLS: Meta-graph Search with Learnable Supernet for Heterogeneous Graph Neural Networks. SSDBM (2023)
Raeed Al-Sabri, Jianliang Gao, Jiamin Chen, Moctard Babatounde Oloulade, Tengfei Lyu
Multi-View Graph Neural Architecture Search for Biomedical Entity and Relation Extraction. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (2) (2023)
Oloulade Babatounde Moctard, Jianliang Gao, Jiamin Chen, Raeed Al-Sabri, Tengfei Lyu
Neural predictor-based automated graph classifier framework. Mach. Learn. 112 (4) (2023)
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)
Yihua Ma, Jing Liao, Jianliang Gao
Enhanced Feature Extraction Method for EEG Based on Empirical Mode Decomposition. CSCloud/EdgeCom (2023)
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) (2023)
Zhen Wang, Ting Jiang, Zenghui Xu, Ji Zhang, Jianliang Gao
Irregularly Sampled Multivariate Time Series Classification: A Graph Learning Approach. IEEE Intell. Syst. 38 (3) (2023)
Quan Wan, Shuo Yin, Xiangyue Liu, Jianliang Gao, Yuhui Zhong
TGSLN : Time-aware Graph Structure Learning Network for Multi-variates Stock Sector Ranking Recommendation. SSDBM (2023)
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 + BiLSTM model with self-attention. Knowl. Based Syst. 235 (2022)
Jiamin Chen, Zhenpeng Wu, Jianliang Gao, Xiaohua Hu
Glycan Immunogenicity Prediction with Efficient Automatic Graph Neural Network. BIBM (2022)
Xiangyue Liu, Xinqi Lyu, Xiangchi Zhang, Jianliang Gao, Jiamin Chen
Memory Augmented Graph Learning Networks for Multivariate Time Series Forecasting. CIKM (2022)
Qiutong Li, Yanshen He, Cong Xu, Feng Wu, Jianliang Gao, Zhao Li
Dual-Augment Graph Neural Network for Fraud Detection. CIKM (2022)
Jianliang Gao, Tengfei Lyu, Fan Xiong, Jianxin Wang, Weimao Ke, Zhao Li
Predicting the Survival of Cancer Patients With Multimodal Graph Neural Network. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (2) (2022)
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) (2022)
Ge Zhang, Zhao Li, Jiaming Huang, Jia Wu, Chuan Zhou, Jian Yang, Jianliang Gao
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks. ACM Trans. Inf. Syst. 40 (3) (2022)
Xinqi Lyu, Yibo Chen, Jiamin Chen, Xiangyue Liu, Jianliang Gao
Spatio-Temporal Based Architecture Topology Search for Multivariate Time Series Prediction. Big Data (2022)
Jiamin Chen, Jianliang Gao, Yibo Chen, Oloulade Babatounde Moctard, Tengfei Lyu, Zhao Li
Auto-GNAS: A Parallel Graph Neural Architecture Search Framework. IEEE Trans. Parallel Distributed Syst. 33 (11) (2022)
Yanshen He, Qiutong Li, Feng Wu, Jianliang Gao
Static-Dynamic Graph Neural Network for Stock Recommendation. SSDBM (2022)
Huiling Huang, Jianliang Gao, Cong Xu, Xiaoting Ying
Pattern Adaptive Specialist Network for Learning Trading Patterns in Stock Market. CIKM (2022)
Zhao Li, Yixin Liu, Zhen Zhang, Shirui Pan, Jianliang Gao, Jiajun Bu
Cyclic label propagation for graph semi-supervised learning. World Wide Web 25 (2) (2022)
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 (2022)
Zhao Li, Yuying Xing, Jiaming Huang, Haobo Wang, Jianliang Gao, Guoxian Yu
Large-scale online multi-view graph neural network and applications. Future Gener. Comput. Syst. 116 (2021)
Jiamin Chen, Jianliang Gao, Yibo Chen, Moctard Babatounde Oloulade, Tengfei Lyu, Zhao Li
GraphPAS: Parallel Architecture Search for Graph Neural Networks. SIGIR (2021)
Jianliang Gao, Ling Tian, Tengfei Lv, Jianxin Wang, Bo Song, Xiaohua Hu
Protein2Vec: Aligning Multiple PPI Networks with Representation Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (1) (2021)
Jiamin Chen, Jianliang Gao, Yibo Chen, Oloulade Babatounde Moctard, Tengfei Lyu, Zhao Li
GraphPAS: Parallel Architecture Search for Graph Neural Networks. CoRR (2021)
Ping Zhong, Aikun Xu, Jianliang Gao, Yiming Zhang, Yingwen Chen
An efficient on-demand charging scheduling scheme for mobile charging vehicle. Int. J. Commun. Syst. 34 (13) (2021)
Raeed Al-Sabri, Jianliang Gao
LAMAD: A Linguistic Attentional Model for Arabic Text Diacritization. EMNLP (Findings) (2021)
Jiamin Chen, Jianliang Gao, Tengfei Lyu, Oloulade Babatounde Moctard, Xiaohua Hu
Multi-label Metabolic Pathway Prediction with Auto Molecular Structure Representation Learning. BIBM (2021)
Wei Jiang, Wanchun Jiang, Jianxin Wang, Jianliang Gao, Neal N. Xiong
ORP: An Online Rule Placement Scheme to Optimize the Traffic Overhead for Data Center Networks. IEEE Trans. Netw. Sci. Eng. 8 (3) (2021)
Zhiyi Jiang, Jianliang Gao, Xinqi Lv
MetaP: Meta Pattern Learning for One-Shot Knowledge Graph Completion. SIGIR (2021)
Xing Xiang, Yibo Chen, Jun Gao, Ping Zhong, Hong Song, Jianliang Gao
Cropping Graph Convolution Neural Network for Prediction of Compound Carcinogenicity. ICCSE (2021)
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)
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)
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)
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)
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)
Jianliang Gao, Ling Tian, Yuxin Liu, Jianxin Wang, Zhao Li, Xiaohua Hu
Multi-task Based Few-Shot Learning for Disease Similarity Measurement. BIBM (2020)
Zhao Li, Haobo Wang, Donghui Ding, Shichang Hu, Zhen Zhang, Weiwei Liu, Jianliang Gao, Zhiqiang Zhang, Ji Zhang
Deep Interest-Shifting Network with Meta-Embeddings for Fresh Item Recommendation. Complex. 2020 (2020)
Zhao Li, Long Zhang, Chenyi Lei, Xia Chen, Jianliang Gao, Jun Gao
Attention with Long-Term Interval-Based Deep Sequential Learning for Recommendation. Complex. 2020 (2020)
Xiaoting Ying, Cong Xu, Jianliang Gao, Jianxin Wang, Zhao Li
Time-aware Graph Relational Attention Network for Stock Recommendation. CIKM (2020)
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)
Sean P. Fitzgibbon, Samuel J. Harrison, Mark Jenkinson, Luke Baxter, Emma C. Robinson, Matteo Bastiani, Jelena Bozek, Vyacheslav Karolis, Lucilio Cordero-Grande, Anthony N. Price, Emer J. Hughes, Antonios Makropoulos, Jonathan Passerat-Palmbach, Andreas Schuh, Jianliang Gao, Seyedeh-Rezvan Farahibozorg, Jonathan O'Muircheartaigh, Judit Ciarrusta, Jesper Andersson
The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants. NeuroImage 223 (2020)
Zhao Li, Chenyi Lei, Pengcheng Zou, Donghui Ding, Shichang Hu, Zehong Hu, Shouling Ji, Jianliang Gao
Attention with Long-Term Interval-Based Gated Recurrent Units for Modeling Sequential User Behaviors. DASFAA (1) (2020)
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 (2020)
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 (2020)
Zhao Li, Yixin Liu, Zhen Zhang, Shirui Pan, Jianliang Gao, Jiajun Bu
Cyclic Label Propagation for Graph Semi-supervised Learning. CoRR (2020)
Fan Xiong, Jianliang Gao
Entity Alignment for Cross-lingual Knowledge Graph with Graph Convolutional Networks. IJCAI (2019)
Hongliang Du, Zhiyi Jiang, Jianliang Gao
Who is Who: Name Disambiguation in Large-Scale Scientific Literature. ICDM Workshops (2019)
Jianliang Gao, Noureddin Sadawi, Ibrahim Karaman, Jake T. M. Pearce, Pablo 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 (2019)
Jianliang Gao, Jianxin Wang, Jianbiao He, Fengxia Yan
Against Signed Graph Deanonymization Attacks on Social Networks. Int. J. Parallel Program. 47 (4) (2019)
Marco Capuccini, Anders Larsson, Matteo Carone, Jon Ander Novella, Noureddin Sadawi, Jianliang Gao, Salman Toor, Ola Spjuth
On-demand virtual research environments using microservices. PeerJ Comput. Sci. 5 (2019)
Jun Gao, Jianliang Gao
A Similarity Measurement Method Based on Graph Kernel for Disconnected Graphs. IJCAI (2019)
Yazhou Kong, Jianliang Gao, Yunpei Xu, Yi Pan, Jianxin Wang, Jin Liu
Classification of autism spectrum disorder by combining brain connectivity and deep neural network classifier. Neurocomputing 324 (2019)
Ling Tian, Jianliang Gao, Jianxin Wang, Ying Wang, Bo Song, Xiaohua Hu
Measuring Disease Similarity Based on Multiple Heterogeneous Disease Information Networks. BIBM (2019)
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 (2018)
Ting Li, Neal N. Xiong, Jianliang Gao, Houbing Song, Anfeng Liu, Zhiping Cai
Reliable Code Disseminations Through Opportunistic Communication in Vehicular Wireless Networks. IEEE Access 6 (2018)
Ping Zhong, Yiwen Zhang, Shuaihua Ma, Xiaoyan Kui, Jianliang Gao
RCSS: A Real-Time On-Demand Charging Scheduling Scheme for Wireless Rechargeable Sensor Networks. Sensors 18 (5) (2018)
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)
Bo Song, Jianliang Gao, Hongliang Du, Zheng Chen, Xiaohua Hu
Aligning Multiple PPI Networks with Representation Learning on Networks. BIBM (2018)
Jianliang Gao, Jianxin Wang, Ping Zhong, Haodong Wang
On Threshold-Free Error Detection for Industrial Wireless Sensor Networks. IEEE Trans. Ind. Informatics 14 (5) (2018)
Lixia Zhang, Jianliang Gao
Incremental Graph Pattern Matching Algorithm for Big Graph Data. Sci. Program. 2018 (2018)
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 (2018)
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. (9) (2018)
Jianliang Gao, Qing Ping, Jianxin Wang
Resisting re-identification mining on social graph data. World Wide Web 21 (6) (2018)
Jianliang Gao, Chuqi Lei, Ling Tian, Yuan Ling, Zheng Chen, Bo Song
Distributed Top-k Subgraph Matching in A Big Graph. IEEE BigData (2018)
Ping Zhong, Yiwen Zhang, Jianliang Gao, Yiming Zhang, Jize Yan
Markov Fluid Queue Model for Rechargeable Sensor Nodes with Abnormal Death. ISPA/IUCC (2017)
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)
Zheng Chen, Xinli Yu, Bo Song, Jianliang Gao, Xiaohua Hu, Wei-Shih Yang
Community-Based Network Alignment for Large Attributed Network. CIKM (2017)
Ping Zhong, Yiwen Zhang, Shuaihua Ma, Jianliang Gao, Yingwen Chen
An Adaptive MAC Protocol for Wireless Rechargeable Sensor Networks. WASA (2017)
Jianliang Gao, Bo Song, Zheng Chen, Weimao Ke, Wanying Ding, Xiaohua Hu
-Anonymization Privacy Protection for Social Networks. SIGIR (2017)
Jianliang Gao, Ping Liu, Xuedan Kang, Lixia Zhang, Jianxin Wang
PRS: Parallel Relaxation Simulation for Massive Graphs. Comput. J. 59 (6) (2016)
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)
Bo Song, Jianliang Gao, Weimao Ke, Xiaohua Hu
Achieving high k-coverage and k-consistency in global alignment of multiple PPI networks. BIBM (2016)
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) (2016)
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) (2014)
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) (2014)
Ming Yang, Jianliang Gao
Numerical simulation on the influence of gob permeability on distribution of air leakage flow field. Int. J. Comput. Sci. Eng. 9 (1/2) (2014)
Jianliang Gao, Jianxin Wang, Weiping Wang
Energy-Efficient Multicast Protocol for Real-Time Wireless Sensor Networks. HPCC/EUC (2013)
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)
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) (2013)
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)
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)
Jianliang Gao, Jianxin Wang, Xi Zhang
HMRF-based distributed fault detection for wireless sensor networks. GLOBECOM (2012)
Jianliang Gao, Yinhe Han, Xiaowei Li
Eliminating data invalidation in debugging multiple-clock chips. DATE (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jianliang Gao