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Jianliang Gao

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2026
[j67]
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Xinqiu Zhang, Wei Qin, Tairan Huang, Jianliang Gao:
X-GAD: Explainable graph-level anomaly detection via inter-graph anomalies. Expert Syst. Appl. 296: 128902 (2026)
[j66]
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Jianliang Gao, Shilin Xie, Yiting Shi, Chongyun Qin:
When sources disagree: Source-independent domain adaptation for multi-source graph transfer learning. Expert Syst. Appl. 314: 131584 (2026)
[j65]
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Chongyun Qin, Zhenpeng Wu, Yiting Shi, Jianliang Gao:
ARFNet: Scale-aware adaptive receptive field network for time series forecasting. Neurocomputing 676: 133044 (2026)
[j64]
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Zhenpeng Wu, Jiamin Chen, Jianliang Gao:
Improving the representational power of graph neural networks via mixed substructure learning. Inf. Fusion 126: 103558 (2026)
[j63]
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Zhenpeng Wu, Siyang Xiao, Jianliang Gao:
Deep-shallow semantic fusion inference based on graph neural network. Inf. Fusion 127: 103849 (2026)
[j62]
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Tairan Huang, Yili Wang, Qiutong Li, Jianliang Gao:
Multi-faceted consistency data augmentation for graph anomaly detection. Inf. Process. Manag. 63(2): 104338 (2026)
[j61]
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Siyang Xiao, Jiamin Chen, Zhenpeng Wu, Shuqing Wu, Jianliang Gao:
DSA-GNAS: graph neural architecture search with deep semantic adaptation of large language models. Knowl. Inf. Syst. 68(1): 114 (2026)
[j60]
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Jianliang Gao, Shuqing Wu, Siyang Xiao, Zhenpeng Wu:
AutoGRN: An Automated Graph Neural Network Framework for Gene Regulatory Network Inference. IEEE J. Biomed. Health Informatics 30(4): 3198-3207 (2026)
[j59]
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Zhenpeng Wu, Cheng Yan, Jiamin Chen, Siyang Xiao, Jianliang Gao:
Drug Repositioning Based on Expert Knowledge Augmented Graph Neural Network. IEEE J. Biomed. Health Informatics 30(6): 4786-4797 (2026)
[c63]
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Jianliang Gao, Yiting Shi, Zhipeng Peng, Chongyun Qin:
TFMoE: Bridging Dual Domains for Long-Term Time Series Forecasting via Adaptive Time-Frequency Modeling. DASFAA (5) 2026: 70-86
[c62]
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Zhipeng Peng, Yiting Shi, Chongyun Qin, Jianliang Gao:
DiSRet: Directional Structure-Aware Retentive Network for Long-Term Time Series Forecasting. DASFAA (5) 2026: 87-102
[i9]
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  - journals/corr/abs-2607-10159
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Tairan Huang, Yili Wang, Beibei Hu, Yiting Shi, Qiutong Li, Changlong He, Jianliang Gao:
UNIT: Unleash Large Language Models Potential for Graph Continual Learning. CoRR abs/2607.10159 (2026)
2025
[j58]
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Jianliang Gao, Shujin Wang, Changlong He, Chongyun Qin:
Multi-scale contrast approach for stock index prediction with adaptive stock fusion. Expert Syst. Appl. 262: 125590 (2025)
[j57]
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Xiaomin Shen, Jianliang Gao, Tengfei Lyu, Jiamin Chen, Jiarun Zhang, Jing He, Zhao Li, Wei Yu:
Enhancing drug-drug interaction event prediction from knowledge graphs by multimodal deep neural networks. Int. J. Data Min. Bioinform. 29(3): 338-361 (2025)
[j56]
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Jianliang Gao, Xinqiu Zhang, Qiutong Li, Jiamin Chen:
Dual perspective-aware graph neural network for graph-level anomaly detection. Neurocomputing 658: 131649 (2025)
[j55]
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Zhenpeng Wu, Jiamin Chen, Raeed Al-Sabri, Babatounde Moctard Oloulade, Jianliang Gao:
Asymmetric augmented paradigm-based graph neural architecture search. Inf. Process. Manag. 62(1): 103897 (2025)
[j54]
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Babatounde Moctard Oloulade, Jianliang Gao, Jiamin Chen, Raeed Al-Sabri, Zhenpeng Wu, Monir Abdullah:
Shapley-guided pruning for efficient graph neural architecture prediction in distributed learning environments. Inf. Sci. 695: 121695 (2025)
[j53]
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Changlong He, Jiamin Chen, Qiutong Li, Yili Wang, Jianliang Gao:
Decoupled graph neural architecture search with explainable variable propagation operation. Knowl. Inf. Syst. 67(5): 4677-4702 (2025)
[j52]
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Tairan Huang, Qiutong Li, Cong Xu, Jianliang Gao, Zhao Li, Shichao Zhang:
Revisiting low-homophily for graph-based fraud detection. Neural Networks 188: 107407 (2025)
[c61]
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Zhenpeng Wu, Siyang Xiao, Jianliang Gao:
AutoGRAD: An Automated Gene Regulatory Network Inference Framework Based on Graph Anomaly Detection Paradigm. BIBM 2025: 359-364
[c60]
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Jianliang Gao, Shilin Xie, Shujin Wang, Xiaohua Tony Hu:
HyperGAT: Hypergraph Attention Network for Stock Movement Prediction. IEEE Big Data 2025: 1389-1395
[c59]
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Wei Qin, Yili Wang, Xinqiu Zhang, Tairan Huang, Shuqing Wu, Jianliang Gao:
Time-Aware Meta-path Aggregation on Heterogeneous Temporal Graphs. DASFAA (2) 2025: 620-636
[c58]
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Tairan Huang, Changlong He, Yili Wang, Jianliang Gao:
Lightning Decoupled Graph Neural Architecture Search for Fraud Detection. ECAI 2025: 1849-1856
[c57]
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Yiting Shi, Zhipeng Peng, Chongyun Qin, Jianliang Gao:
Learnable Multiple Cyclicity-Trend Decomposition for Long-Term Time Series Forecasting. ECAI 2025: 3106-3113
[c56]
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Babatounde Moctard Oloulade, Jianliang Gao, Raeed Al-Sabri, Jiamin Chen, Zhenpeng Wu:
Towards Better Graph Anomaly Detection: A Performance-Aware Neural Architecture Search Approach. ICANN (1) 2025: 285-297
[c55]
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Tairan Huang, Yili Wang, Qiutong Li, Changlong He, Jianliang Gao:
Can LLMs Find Fraudsters? Multi-level LLM Enhanced Graph Fraud Detection. ACM Multimedia 2025: 1530-1538
[c54]
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Yili Wang, Tairan Huang, Changlong He, Qiutong Li, Jianliang Gao:
Simple and Efficient Heterogeneous Temporal Graph Neural Network. NeurIPS 2025
[i8]
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  - journals/corr/abs-2510-18467
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Yili Wang, Tairan Huang, Changlong He, Qiutong Li, Jianliang Gao:
Simple and Efficient Heterogeneous Temporal Graph Neural Network. CoRR abs/2510.18467 (2025)
2024
[j51]
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Jiamin Chen, Jianliang Gao, Zhenpeng Wu, Raeed Al-Sabri, Babatounde Moctard Oloulade:
Decoupled differentiable graph neural architecture search. Inf. Sci. 673: 120700 (2024)
[j50]
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Jianliang Gao, Babatounde Moctard Oloulade, Raeed Al-Sabri, Jiamin Chen, Tengfei Lyu, Zhenpeng Wu:
Graph neural architecture prediction. Knowl. Inf. Syst. 66(1): 29-58 (2024)
[j49]
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  - journals/kais/WuCAMG24
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Zhenpeng Wu, Jiamin Chen, Raeed Al-Sabri, Babatounde Moctard Oloulade, Jianliang Gao:
Adaptive graph contrastive learning with joint optimization of data augmentation and graph encoder. Knowl. Inf. Syst. 66(3): 1657-1681 (2024)
[j48]
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Yili Wang, Jiamin Chen, Qiutong Li, Changlong He, Jianliang Gao:
Graph neural architecture search with heterogeneous message-passing mechanisms.