| 2026 | AAAI | GraphRAG-Induced Dual Knowledge Structure Graphs for Personalized Learning Path Recommendation. | Xinghe Cheng, Zihan Zhang, Jiapu Wang, Liangda Fang, Chaobo He, Quanlong Guan, Shirui Pan, Weiqi Luo |
| 2026 | AAAI | Generating In-Distribution Counterfactual Explanation for Graph Neural Networks. | Linmao Chen, Chaobo He, Junwei Cheng, Chunying Li, Quanlong Guan |
| 2026 | SIGIR | Mitigating Evidence Suppression: Bi-level Active Evidence Injection for Educational Video Understanding. | Cheng Liu, Yiping Wang, Quanlong Guan, Chaobo He, Xingyu Zhu, Liangda Fang |
| 2025 | AAAI | Community-Aware Variational Autoencoder for Continuous Dynamic Networks. | Junwei Cheng, Chaobo He, Pengxing Feng, Weixiong Liu, Kunlin Han, Yong Tang |
| 2025 | DASFAA | Boost Dynamic Community Detection via Exploiting Member Transition Information. | Zhongyu Pan, Junwei Cheng, Weixiong Liu, Chaobo He, Quanlong Guan, Xuequan Lin |
| 2025 | IJCNN | SGTrans: Signed Graph Transformer for Link Sign Prediction. | Xuequan Lin, Hao Cheng, Junwei Cheng, Chaobo He, Qimai Chen |
| 2025 | SIGIR | NR4DER: Neural Re-ranking for Diversified Exercise Recommendation. | Xinghe Cheng, Xufang Zhou, Liangda Fang, Chaobo He, Yuyu Zhou, Weiqi Luo, Zhiguo Gong, Quanlong Guan |
| 2025 | UAI | DyGMAE: A Novel Dynamic Graph Masked Autoencoder for Link Prediction. | Weixiong Liu, Junwei Cheng, Zhongyu Pan, Chaobo He, Quanlong Guan |
| 2024 | WWW | Boost Social Recommendation via Adaptive Denoising Network. | Xinran Chen, Chaobo He, Quanlong Guan |
| 2024 | WWW | Generating Privacy-preserving Educational Data Records with Diffusion Model. | Quanlong Guan, Yanchong Yu, Xiujie Huang, Liangda Fang, Chaobo He, Lusheng Wu, Weiqi Luo, Guanliang Chen |
| 2023 | CIKM | A Deep Conditional Generative Approach for Constrained Community Detection. | Chaobo He, Junwei Cheng, Quanlong Guan, Xiang Fei, Hanchao Li, Yong Tang |
| 2023 | CSCWD | Network Embedding with Enhanced Feature Representations for Link Prediction. | Weisheng Li, Wentao Chen, Zhihong Pan, Yuanfei Deng, Yong Tang, Chaobo He |
| 2023 | CSCWD | Self-supervised community detection in multiplex networks with graph convolutional autoencoder. | Xingyu Liu, Junwei Cheng, Hao Cheng, Chaobo He, Qimai Chen, Quanlong Guan |
| 2023 | KSEM | Graph Contrastive Learning Method with Sample Disparity Constraint and Feature Structure Graph for Node Classification. | Gangbin Chen, Junwei Cheng, Wanying Liang, Chaobo He, Yong Tang |
| 2023 | SIGIR | How Significant Attributes are in the Community Detection of Attributed Multiplex Networks. | Junwei Cheng, Chaobo He, Kunlin Han, Wenjie Ma, Yong Tang |
| 2023 | SIGIR | Multiple Topics Community Detection in Attributed Networks. | Chaobo He, Junwei Cheng, Guohua Chen, Yong Tang |
| 2022 | CSCWD | SARNMF: A Community Detection Method for Attributed Networks. | Junwei Cheng, Weisheng Li, Kunlin Han, Yong Tang, Chaobo He, Nini Zhang |
| 2021 | CSCWD | An Improved Community Detection Algorithm via Fusing Topology and Attribute Information. | Qing Xu, Lunjie Qiu, Ronghua Lin, Yong Tang, Chaobo He, Chengzhe Yuan |
| 2016 | ADC | SCHOLAT: An Innovative Academic Information Service Platform. | Feiyi Tang, Jia Zhu, Chaobo He, Chengzhou Fu, Jing He, Yong Tang |