A Coloring Based Backbone Construction Algorithm in Wireless Ad Hoc Network. - Zhiwei Lin 003; Li Xu 002; Dajin Wang; Jianliang Gao (GPC, 2006)

Class-modular multi-layer perceptions, task decomposition and virtually balanced training subsets. - Daqi Gao; Wei Wang; Jianliang Gao (IJCNN, 2007)

Performance Modelling of IEEE 802.15.4 MAC in LR-WPAN with Bursty ON-OFF Traffic. - Jianliang Gao; Jia Hu 001; Geyong Min (CIT (2), 2009)

QoS Performance Analysis of IEEE 802.15.4 MAC in LR-WPAN with Bursty Error Channels. - Jianliang Gao; Jia Hu 001; Geyong Min; Li Xu 002 (MSN, 2009)

A New Post-Silicon Debug Approach Based on Suspect Window. - Jianliang Gao; Yinhe Han 001; Xiaowei Li 001 (VTS, 2009)

QoS analysis of medium access control in LR-WPANs under bursty error channels. - Jianliang Gao; Jia Hu 001; Geyong Min; Li Xu 002 (Future Gener. Comput. Syst., 2010)

A Novel Post-Silicon Debug Mechanism Based on Suspect Window. - Jianliang Gao; Yinhe Han 001; Xiaowei Li 001 (IEICE Trans. Inf. Syst., 2010)

Eliminating data invalidation in debugging multiple-clock chips. - Jianliang Gao; Yinhe Han 001; Xiaowei Li 001 (DATE, 2011)

A clustering-based scheme for concurrent trace in debugging NoC-based multicore systems. - Jianliang Gao; Jianxin Wang; Yinhe Han 001; Lei Zhang 008; Xiaowei Li 001 (DATE, 2012)

HMRF-based distributed fault detection for wireless sensor networks. - Jianliang Gao; Jianxin Wang 001; Xi Zhang 005 (GLOBECOM, 2012)

A Virtual-Ring-Based Data Storage and Retrieval Scheme in Wireless Sensor Networks. - Xingpo Ma; Jianliang Gao; Weiping Wang 003; Jianxin Wang 001 (Int. J. Distributed Sens. Networks, 2012)

Energy-Efficient Multicast Protocol for Real-Time Wireless Sensor Networks. - Jianliang Gao; Jianxin Wang 001; Weiping Wang 003 (HPCC/EUC, 2013)

Analysis of the MAC protocol in low rate wireless personal area networks with bursty ON-OFF traffic. - Jianliang Gao; Jia Hu 001; Geyong Min; Li Xu 002 (Concurr. Comput. Pract. Exp., 2013)

QSA: Query Splitting-Based Anticollision for Mobile RFID-Based Internet-of-Things. - Jianliang Gao; Jianxin Wang 001; Jianbiao He; Weiping Wang 003 (Int. J. Distributed Sens. Networks, 2013)

Numerical simulation on the influence of gob permeability on distribution of air leakage flow field. - Ming Yang 009; Jianliang Gao (Int. J. Comput. Sci. Eng., 2014)

Lossy links diagnosis for wireless sensor networks by utilising the existing traffic information. - Lixia Zhang 004; Weiping Wang 003; Jianliang Gao; Jianxin Wang 001 (Int. J. Embed. Syst., 2014)

A Novel Verification Scheme for Fine-Grained Top-k Queries in Two-Tiered Sensor Networks. - Xingpo Ma; Hong Song; Jianxin Wang 001; Jianliang Gao; Geyong Min (Wirel. Pers. Commun., 2014)

Achieving high k-coverage and k-consistency in global alignment of multiple PPI networks. - Bo Song; Jianliang Gao; Weimao Ke; Xiaohua Hu 001 (BIBM, 2016)

Parallel top-k subgraph query in massive graphs: Computing from the perspective of single vertex. - Jianliang Gao; Bo Song; Ping Liu; Weimao Ke; Jianxin Wang 001; Xiaohua Hu 001 (IEEE BigData, 2016)

PRS: Parallel Relaxation Simulation for Massive Graphs. - Jianliang Gao; Ping Liu; Xuedan Kang; Lixia Zhang 004; Jianxin Wang 001 (Comput. J., 2016)

A Residual Energy Aware Schedule Scheme for WSNs Employing Adjustable Awake/Sleep Duty Cycle. - Renning Xie; Anfeng Liu; Jianliang Gao (Wirel. Pers. Commun., 2016)

Fast botnet detection from streaming logs using online lanczos method. - Zheng Chen 010; Xinli Yu 002; Chi Zhang; Jin Zhang; Cui Lin; Bo Song; Jianliang Gao; Xiaohua Hu 001; Wei-Shih Yang; Erjia Yan (IEEE BigData, 2017)

Community-Based Network Alignment for Large Attributed Network. - Zheng Chen 010; Xinli Yu 002; Bo Song; Jianliang Gao; Xiaohua Hu 001; Wei-Shih Yang (CIKM, 2017)

Markov Fluid Queue Model for Rechargeable Sensor Nodes with Abnormal Death. - Ping Zhong 002; Yiwen Zhang; Jianliang Gao; Yiming Zhang 003; Jize Yan (ISPA/IUCC, 2017)

Counter Deanonymization Query: H-index Based k-Anonymization Privacy Protection for Social Networks. - Jianliang Gao; Bo Song; Zheng Chen 010; Weimao Ke; Wanying Ding; Xiaohua Hu 001 (SIGIR, 2017)

An Adaptive MAC Protocol for Wireless Rechargeable Sensor Networks. - Ping Zhong 002; Yiwen Zhang; Shuaihua Ma; Jianliang Gao; Yingwen Chen 001 (WASA, 2017)

Aligning Multiple PPI Networks with Representation Learning on Networks. - Bo Song; Jianliang Gao; Hongliang Du; Zheng Chen 010; Xiaohua Hu 001 (BIBM, 2018)

Distributed Top-k Subgraph Matching in A Big Graph. - Jianliang Gao; Chuqi Lei; Ling Tian; Yuan Ling; Zheng Chen 010; Bo Song (IEEE BigData, 2018)

Comparative Study of CNN and LSTM based Attention Neural Networks for Aspect-Level Opinion Mining. - Wei Quan; Zheng Chen 010; Jianliang Gao; Xiaohua Tony Hu (IEEE BigData, 2018)

Reliable Code Disseminations Through Opportunistic Communication in Vehicular Wireless Networks. - Ting Li 009; Neal N. Xiong; Jianliang Gao; Houbing Song; Anfeng Liu; Zhiping Cai (IEEE Access, 2018)

ConnectedAlign: a PPI network alignment method for identifying conserved protein complexes across multiple species. - Jianliang Gao; Bo Song; Xiaohua Hu 001; Fengxia Yan; Jianxin Wang 001 (BMC Bioinform., 2018)

KubeNow: an On-Demand Cloud-Agnostic Platform for Microservices-Based Research Environments. - Marco Capuccini; Anders Larsson; Matteo Carone; Jon Ander Novella; Noureddin Sadawi; Jianliang Gao; Salman Zubair Toor; Ola Spjuth (CoRR, 2018)

RCSS: A Real-Time On-Demand Charging Scheduling Scheme for Wireless Rechargeable Sensor Networks. - Ping Zhong 002; Yiwen Zhang; Shuaihua Ma; Xiaoyan Kui; Jianliang Gao (Sensors, 2018)

Incremental Graph Pattern Matching Algorithm for Big Graph Data. - Lixia Zhang 004; Jianliang Gao (Sci. Program., 2018)

On Threshold-Free Error Detection for Industrial Wireless Sensor Networks. - Jianliang Gao; Jianxin Wang 001; Ping Zhong 002; Haodong Wang (IEEE Trans. Ind. Informatics, 2018)

Resisting re-identification mining on social graph data. - Jianliang Gao; Qing Ping; Jianxin Wang 001 (World Wide Web, 2018)

Measuring Disease Similarity Based on Multiple Heterogeneous Disease Information Networks. - Ling Tian; Jianliang Gao; Jianxin Wang 001; Ying Wang; Bo Song; Xiaohua Hu 001 (BIBM, 2019)

Who is Who: Name Disambiguation in Large-Scale Scientific Literature. - Hongliang Du; Zhiyi Jiang; Jianliang Gao (ICDM Workshops, 2019)

A Similarity Measurement Method Based on Graph Kernel for Disconnected Graphs. - Jun Gao; Jianliang Gao (IJCAI, 2019)

Entity Alignment for Cross-lingual Knowledge Graph with Graph Convolutional Networks. - Fan Xiong; Jianliang Gao (IJCAI, 2019)

Metabolomics in the Cloud: Scaling Computational Tools to Big Data. - 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 (CoRR, 2019)

Classification of autism spectrum disorder by combining brain connectivity and deep neural network classifier. - Yazhou Kong; Jianliang Gao; Yunpei Xu; Yi Pan 001; Jianxin Wang 001; Jin Liu 012 (Neurocomputing, 2019)

Against Signed Graph Deanonymization Attacks on Social Networks. - Jianliang Gao; Jianxin Wang 001; Jianbiao He; Fengxia Yan (Int. J. Parallel Program., 2019)

On-demand virtual research environments using microservices. - Marco Capuccini; Anders Larsson; Matteo Carone; Jon Ander Novella; Noureddin Sadawi; Jianliang Gao; Salman Toor; Ola Spjuth (PeerJ Comput. Sci., 2019)

Multi-task Based Few-Shot Learning for Disease Similarity Measurement. - Jianliang Gao; Ling Tian; Yuxin Liu 001; Jianxin Wang 001; Zhao Li 007; Xiaohua Hu 001 (BIBM, 2020)

Dynamic Load Balance for Hot-spot and Unbalance Region Problems in HBase. - Yibo Chen; Xing Xiang; Xiao Ling; Xiangchi Zhang; Fan Wu; Jianliang Gao (IEEE BigData, 2020)

Time-aware Graph Relational Attention Network for Stock Recommendation. - Xiaoting Ying; Cong Xu; Jianliang Gao; Jianxin Wang 001; Zhao Li 007 (CIKM, 2020)

Attention with Long-Term Interval-Based Gated Recurrent Units for Modeling Sequential User Behaviors. - Zhao Li 007; Chenyi Lei; Pengcheng Zou; Donghui Ding; Shichang Hu; Zehong Hu; Shouling Ji; Jianliang Gao (DASFAA (1), 2020)

MGNN: A Multimodal Graph Neural Network for Predicting the Survival of Cancer Patients. - Jianliang Gao; Tengfei Lyu; Fan Xiong; Jianxin Wang 001; Weimao Ke; Zhao Li 007 (SIGIR, 2020)

Deep Interest-Shifting Network with Meta-Embeddings for Fresh Item Recommendation. - Zhao Li 007; Haobo Wang 001; Donghui Ding; Shichang Hu; Zhen Zhang 023; Weiwei Liu 003; Jianliang Gao; Zhiqiang Zhang 010; Ji Zhang 001 (Complex., 2020)

Attention with Long-Term Interval-Based Deep Sequential Learning for Recommendation. - Zhao Li 007; Long Zhang; Chenyi Lei; Xia Chen 004; Jianliang Gao; Jun Gao 003 (Complex., 2020)

Method and Dataset Entity Mining in Scientific Literature: A CNN + Bi-LSTM Model with Self-attention. - Linlin Hou; Ji Zhang 001; Ou Wu; Ting Yu 004; Zhen Wang 037; Zhao Li 007; Jianliang Gao; Yingchun Ye; Rujing Yao (CoRR, 2020)

Distant Supervision for E-commerce Query Segmentation via Attention Network. - Zhao Li 007; Donghui Ding; Pengcheng Zou; Yu Gong; Xi Chen; Ji Zhang 001; Jianliang Gao; Youxi Wu; Yucong Duan (CoRR, 2020)

The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants. - 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; et al. (NeuroImage, 2020)

Multi-label Metabolic Pathway Prediction with Auto Molecular Structure Representation Learning. - Jiamin Chen; Jianliang Gao; Tengfei Lyu; Babatounde Moctard Oloulade; Xiaohua Hu 001 (BIBM, 2021)

LAMAD: A Linguistic Attentional Model for Arabic Text Diacritization. - Raeed Al-Sabri; Jianliang Gao (EMNLP (Findings), 2021)

TAGCN: Typed Attention Graph Convolutional Networks for Entity Alignment in Cross-lingual Knowledge Graphs. - Jianliang Gao; Zhao Li 007; Fan Xiong; Xiangyue Liu; Jie Xiao 005; Biao Wang; Ji Zhang 001 (HPCC/DSS/SmartCity/DependSys, 2021)

Cropping Graph Convolution Neural Network for Prediction of Compound Carcinogenicity. - Xing Xiang; Yibo Chen; Jun Gao; Ping Zhong 002; Hong Song; Jianliang Gao (ICCSE, 2021)

MDNN: A Multimodal Deep Neural Network for Predicting Drug-Drug Interaction Events. - Tengfei Lyu; Jianliang Gao; Ling Tian; Zhao Li 007; Peng Zhang 001; Ji Zhang 001 (IJCAI, 2021)

GraphPAS: Parallel Architecture Search for Graph Neural Networks. - Jiamin Chen; Jianliang Gao; Yibo Chen; Babatounde Moctard Oloulade; Tengfei Lyu; Zhao Li 007 (SIGIR, 2021)

MetaP: Meta Pattern Learning for One-Shot Knowledge Graph Completion. - Zhiyi Jiang; Jianliang Gao; Xinqi Lv (SIGIR, 2021)

Predicting Price-Limit-Hitting Stocks with Hierarchical Graph Neural Network. - Jianliang Gao; Cong Xu; Huiling Huang; Xiaoting Ying; Zhao Li 007; Peng Zhang 001; Jie Xiao 005; Jiarun Zhang; Jiangjian Luo (WI/IAT (Workshop/Special Session), 2021)

What Happens Behind the Scene? Towards Fraud Community Detection in E-Commerce from Online to Offline. - Zhao Li 007; Pengrui Hui; Peng Zhang 001; Jiaming Huang; Biao Wang; Ling Tian; Ji Zhang 001; Jianliang Gao; Xing Tang (WWW (Companion Volume), 2021)

Large-scale online multi-view graph neural network and applications. - Zhao Li 007; Yuying Xing; Jiaming Huang; Haobo Wang 001; Jianliang Gao; Guoxian Yu (Future Gener. Comput. Syst., 2021)

An efficient on-demand charging scheduling scheme for mobile charging vehicle. - Ping Zhong 002; Aikun Xu; Jianliang Gao; Yiming Zhang 003; Yingwen Chen 001 (Int. J. Commun. Syst., 2021)

Protein2Vec: Aligning Multiple PPI Networks with Representation Learning. - Jianliang Gao; Ling Tian; Tengfei Lv; Jianxin Wang 001; Bo Song; Xiaohua Hu 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

ORP: An Online Rule Placement Scheme to Optimize the Traffic Overhead for Data Center Networks. - Wei Jiang; Wanchun Jiang; Jianxin Wang 001; Jianliang Gao; Neal N. Xiong (IEEE Trans. Netw. Sci. Eng., 2021)

Glycan Immunogenicity Prediction with Efficient Automatic Graph Neural Network. - Jiamin Chen; Zhenpeng Wu; Jianliang Gao; Xiaohua Hu 001 (BIBM, 2022)

Spatio-Temporal Based Architecture Topology Search for Multivariate Time Series Prediction. - Xinqi Lyu; Yibo Chen; Jiamin Chen; Xiangyue Liu; Jianliang Gao (IEEE Big Data, 2022)

Pattern Adaptive Specialist Network for Learning Trading Patterns in Stock Market. - Huiling Huang; Jianliang Gao; Cong Xu; Xiaoting Ying (CIKM, 2022)

Dual-Augment Graph Neural Network for Fraud Detection. - Qiutong Li; Yanshen He; Cong Xu; Feng Wu; Jianliang Gao; Zhao Li 007 (CIKM, 2022)

Memory Augmented Graph Learning Networks for Multivariate Time Series Forecasting. - Xiangyue Liu; Xinqi Lyu; Xiangchi Zhang; Jianliang Gao; Jiamin Chen (CIKM, 2022)

Static-Dynamic Graph Neural Network for Stock Recommendation. - Yanshen He; Qiutong Li; Feng Wu; Jianliang Gao (SSDBM, 2022)

HGNN: Hierarchical graph neural network for predicting the classification of price-limit-hitting stocks. - Cong Xu; Huiling Huang; Xiaoting Ying; Jianliang Gao; Zhao Li 007; Peng Zhang 001; Jie Xiao 005; Jiarun Zhang; Jiangjian Luo (Inf. Sci., 2022)

Method and dataset entity mining in scientific literature: A CNN + BiLSTM model with self-attention. - Linlin Hou; Ji Zhang 001; Ou Wu; Ting Yu 004; Zhen Wang 037; Zhao Li 007; Jianliang Gao; Yingchun Ye; Rujing Yao (Knowl. Based Syst., 2022)

Predicting the Survival of Cancer Patients With Multimodal Graph Neural Network. - Jianliang Gao; Tengfei Lyu; Fan Xiong; Jianxin Wang 001; Weimao Ke; Zhao Li 007 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Graph-Based Stock Recommendation by Time-Aware Relational Attention Network. - Jianliang Gao; Xiaoting Ying; Cong Xu; Jianxin Wang 001; Shichao Zhang 001; Zhao Li 007 (ACM Trans. Knowl. Discov. Data, 2022)

eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks. - Ge Zhang 002; Zhao Li 007; Jiaming Huang; Jia Wu 001; Chuan Zhou 001; Jian Yang 001; Jianliang Gao (ACM Trans. Inf. Syst., 2022)

Auto-GNAS: A Parallel Graph Neural Architecture Search Framework. - Jiamin Chen; Jianliang Gao; Yibo Chen; Babatounde Moctard Oloulade; Tengfei Lyu; Zhao Li 007 (IEEE Trans. Parallel Distributed Syst., 2022)

Cyclic label propagation for graph semi-supervised learning. - Zhao Li 007; Yixin Liu 001; Zhen Zhang 023; Shirui Pan; Jianliang Gao; Jiajun Bu (World Wide Web, 2022)

TemDep: Temporal Dependency Priority for Multivariate Time Series Prediction. - Shu Liu 002; Jiaheng Wang; Jiamin Chen; Jianliang Gao; Yuhui Zhong (CIKM, 2023)

Enhanced Feature Extraction Method for EEG Based on Empirical Mode Decomposition. - Yihua Ma; Jing Liao 004; Jianliang Gao (CSCloud/EdgeCom, 2023)

DTSRN: Dynamic Temporal Spatial Relation Network for Stock Ranking Recommendation. - Yuhui Zhong; Jiamin Chen; Jianliang Gao; Jiaheng Wang; Quan Wan (ICONIP (11), 2023)

Uncovering Multivariate Structural Dependency for Analyzing Irregularly Sampled Time Series. - Zhen Wang; Ting Jiang; Zenghui Xu; Jianliang Gao; Ou Wu; Ke Yan 001; Ji Zhang (ECML/PKDD (5), 2023)

Decoupled Graph Neural Architecture Search with Variable Propagation Operation and Appropriate Depth. - Jianliang Gao; Changlong He; Jiamin Chen; Qiutong Li; Yili Wang 005 (SSDBM, 2023)

TGSLN : Time-aware Graph Structure Learning Network for Multi-variates Stock Sector Ranking Recommendation. - Quan Wan; Shuo Yin; Xiangyue Liu; Jianliang Gao; Yuhui Zhong (SSDBM, 2023)

MSLS: Meta-graph Search with Learnable Supernet for Heterogeneous Graph Neural Networks. - Yili Wang 005; Jiamin Chen; Qiutong Li; Changlong He; Jianliang Gao (SSDBM, 2023)

Irregularly Sampled Multivariate Time Series Classification: A Graph Learning Approach. - Zhen Wang 037; Ting Jiang; Zenghui Xu; Ji Zhang 001; Jianliang Gao (IEEE Intell. Syst., 2023)

Multi-View Graph Neural Architecture Search for Biomedical Entity and Relation Extraction. - Raeed Al-Sabri; Jianliang Gao; Jiamin Chen; Babatounde Moctard Oloulade; Tengfei Lyu (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

AutoMSR: Auto Molecular Structure Representation Learning for Multi-label Metabolic Pathway Prediction. - Jiamin Chen; Jianliang Gao; Tengfei Lyu; Babatounde Moctard Oloulade; Xiaohua Hu 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Higher-Order Interaction Goes Neural: A Substructure Assembling Graph Attention Network for Graph Classification. - Jianliang Gao; Jun Gao; Xiaoting Ying; Mingming Lu; Jian-Xin Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Neural predictor-based automated graph classifier framework. - Babatounde Moctard Oloulade; Jianliang Gao; Jiamin Chen; Raeed Al-Sabri; Tengfei Lyu (Mach. Learn., 2023)

A supervised and distributed framework for cold-start author disambiguation in large-scale publications. - Yibo Chen; Zhiyi Jiang; Jianliang Gao; Hongliang Du; Liping Gao; Zhao Li 007 (Neural Comput. Appl., 2023)

Cancer drug response prediction with surrogate modeling-based graph neural architecture search. - Babatounde Moctard Oloulade; Jianliang Gao; Jiamin Chen; Raeed Al-Sabri; Zhenpeng Wu (Bioinform., 2023)

GM2NAS: multitask multiview graph neural architecture search. - Jianliang Gao; Raeed Al-Sabri; Babatounde Moctard Oloulade; Jiamin Chen; Tengfei Lyu; Zhenpeng Wu (Knowl. Inf. Syst., 2023)

M3GNAS: Multi-modal Multi-view Graph Neural Architecture Search for Medical Outcome Predictions. - Raeed Al-Sabri; Jianliang Gao; Jiamin Chen; Babatounde Moctard Oloulade; Zhenpeng Wu; Monir Abdullah; Xiaohua Hu 001 (BIBM, 2024)

Adaptive Drug Repositioning Prediction. - Zhenpeng Wu; Jiamin Chen; Jianliang Gao (BIBM, 2024)

Relation Time-Aware Heterogeneous Dynamic Graph Neural Networks. - Yili Wang 005; Jiamin Chen; Qiutong Li; Changlong He; Jianliang Gao (ECAI, 2024)

Decoupled differentiable graph neural architecture search. - Jiamin Chen; Jianliang Gao; Zhenpeng Wu; Raeed Al-Sabri; Babatounde Moctard Oloulade (Inf. Sci., 2024)

Depth-adaptive graph neural architecture search for graph classification. - Zhenpeng Wu; Jiamin Chen; Raeed Al-Sabri; Babatounde Moctard Oloulade; Jianliang Gao (Knowl. Based Syst., 2024)

AutoTGRL: an automatic text-graph representation learning framework. - Raeed Al-Sabri; Jianliang Gao; Jiamin Chen; Babatounde Moctard Oloulade; Tengfei Lyu (Neural Comput. Appl., 2024)

AutoAMS: Automated attention-based multi-modal graph learning architecture search. - Raeed Al-Sabri; Jianliang Gao; Jiamin Chen; Babatounde Moctard Oloulade; Zhenpeng Wu (Neural Networks, 2024)

CommGNAS: Unsupervised Graph Neural Architecture Search for Community Detection. - Jianliang Gao; Jiamin Chen; Babatounde Moctard Oloulade; Raeed Al-Sabri; Tengfei Lyu; Ji Zhang 001; Zhao Li 007 (IEEE Trans. Emerg. Top. Comput., 2024)

Graph neural architecture prediction. - Jianliang Gao; Babatounde Moctard Oloulade; Raeed Al-Sabri; Jiamin Chen; Tengfei Lyu; Zhenpeng Wu (Knowl. Inf. Syst., 2024)

A graph-powered large-scale fraud detection system. - Zhao Li 007; Biao Wang; Jiaming Huang; Yilun Jin; Zenghui Xu; Ji Zhang 001; Jianliang Gao (Int. J. Mach. Learn. Cybern., 2024)

Adaptive graph contrastive learning with joint optimization of data augmentation and graph encoder. - Zhenpeng Wu; Jiamin Chen; Raeed Al-Sabri; Babatounde Moctard Oloulade; Jianliang Gao (Knowl. Inf. Syst., 2024)

AutoDDI: Drug-Drug Interaction Prediction With Automated Graph Neural Network. - Jianliang Gao; Zhenpeng Wu; Raeed Al-Sabri; Babatounde Moctard Oloulade; Jiamin Chen (IEEE J. Biomed. Health Informatics, 2024)

Graph neural architecture search with heterogeneous message-passing mechanisms. - Yili Wang 005; Jiamin Chen; Qiutong Li; Changlong He; Jianliang Gao (Knowl. Inf. Syst., 2024)

Multi-scale contrast approach for stock index prediction with adaptive stock fusion. - Jianliang Gao; Shujin Wang; Changlong He; Chongyun Qin (Expert Syst. Appl., 2025)

Enhancing drug-drug interaction event prediction from knowledge graphs by multimodal deep neural networks. - Xiaomin Shen; Jianliang Gao; Tengfei Lyu; Jiamin Chen; Jiarun Zhang; Jing He 001; Zhao Li 007; Wei Yu (Int. J. Data Min. Bioinform., 2025)

Asymmetric augmented paradigm-based graph neural architecture search. - Zhenpeng Wu; Jiamin Chen; Raeed Al-Sabri; Babatounde Moctard Oloulade; Jianliang Gao (Inf. Process. Manag., 2025)

Shapley-guided pruning for efficient graph neural architecture prediction in distributed learning environments. - Babatounde Moctard Oloulade; Jianliang Gao; Jiamin Chen; Raeed Al-Sabri; Zhenpeng Wu; Monir Abdullah (Inf. Sci., 2025)

Revisiting low-homophily for graph-based fraud detection. - Tairan Huang; Qiutong Li; Cong Xu; Jianliang Gao; Zhao Li 007; Shichao Zhang 001 (Neural Networks, 2025)

Decoupled graph neural architecture search with explainable variable propagation operation. - Changlong He; Jiamin Chen; Qiutong Li; Yili Wang 005; Jianliang Gao (Knowl. Inf. Syst., 2025)

X-GAD: Explainable graph-level anomaly detection via inter-graph anomalies. - Xinqiu Zhang; Wei Qin; Tairan Huang; Jianliang Gao (Expert Syst. Appl., 2026)

Improving the representational power of graph neural networks via mixed substructure learning. - Zhenpeng Wu; Jiamin Chen; Jianliang Gao (Inf. Fusion, 2026)

Multi-faceted consistency data augmentation for graph anomaly detection. - Tairan Huang; Yili Wang; Qiutong Li; Jianliang Gao (Inf. Process. Manag., 2026)