| 2026 | AAAI | KSS-MoE: Knowledge Space Synergy Framework in Mixture of Experts for Continual Visual Instruction Tuning. | Lingyun Song, Ziyao Chen, Kang Pan, Xiaolin Han, Xinbiao Gan, Yudai Pan, Xiaofan Sun, Xiaoqi Wang, Xuequn Shang |
| 2026 | ACL | G-HiRel: Enhancing the Adaption to Knowledge Updating for Large Language Model Reasoning. | Yudai Pan, Jiajie Hong, Tianzhe Zhao, Lingyun Song, Lingling Zhang, Yixin Chen, Xuequn Shang |
| 2026 | ICDE | Robust Spatial-Temporal Similar Trajectory Search via Structure-Enhanced Domain-Invariant Learning. | Xiaolin Han, Yonghao Zhou, Chenhao Ma, Lingyun Song, Xinbiao Gan, Xuequn Shang |
| 2025 | AAAI | Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models. | Jie Ma, Zhitao Gao, Qi Chai, Wangchun Sun, Pinghui Wang, Hongbin Pei, Jing Tao, Lingyun Song, Jun Liu, Chen Zhang, Lizhen Cui |
| 2025 | DASFAA | RADIO: Effective and Efficient Anomalous Subgraph Discovery in Financial Networks. | Xiaolin Han, Yikun Zhang, Chenhao Ma, Lingyun Song, Xuequn Shang |
| 2025 | ICDM | STREAM: Hierarchical Dynamic Traffic Pattern Inference for Sparse Trajectory Recovery. | Xiaolin Han, Tianwen Zhang, Yuke Li, Gaukhar Issayeva, Chenhao Ma, Lingyun Song, Xuequn Shang |
| 2025 | ICPADS | AACoT: Chain-of-Thought Fine-Tuning via Associative Memory and Adaptive Error Correction. | Ruiyue Wang, Lingyun Song, Xinbiao Gan, Yudai Pan, Xuequn Shang |
| 2025 | IJCAI | Multi-Scale Temporal Neural Network for Stock Trend Prediction Enhanced by Temporal Hyepredge Learning. | Lingyun Song, Haodong Li, Siyu Chen, Xinbiao Gan, Binze Shi, Jie Ma, Yudai Pan, Xiaoqi Wang, Xuequn Shang |
| 2025 | IJCAI | Metapath and Hypergraph Structure-based Multi-Channel Graph Contrastive Learning for Student Performance Prediction. | Lingyun Song, Xiaofan Sun, Xinbiao Gan, Yudai Pan, Xiaolin Han, Jie Ma, Jun Liu, Xuequn Shang |
| 2025 | KDD | TempASD: Temporal Anomalous Subgraph Discovery in Large-Scale Dynamic Financial Networks. | Xiaolin Han, Yikun Zhang, Chenhao Ma, Lingyun Song, Reynold Cheng, Xuequn Shang |
| 2025 | WWW | GraphCom: Communication Hierarchy-aware Graph Engine for Distributed Model Training. | Xinbiao Gan, Tiejun Li, Liang Wu, Qiang Zhang, Lingyun Song, Bo Yang, Jie Liu, Kai Lu |
| 2025 | WWW | Logic-Aware Knowledge Graph Reasoning for Structural Sparsity under Large Language Model Supervision. | Yudai Pan, Jiajie Hong, Tianzhe Zhao, Lingyun Song, Jun Liu, Xuequn Shang |
| 2024 | EMNLP | A Robust Dual-debiasing VQA Model based on Counterfactual Causal Effect. | Lingyun Song, Chengkun Yang, Xuanyu Li, Xuequn Shang |
| 2022 | AAAI | MMAN: Metapath Based Multi-Level Graph Attention Networks for Heterogeneous Network Embedding (Student Abstract). | Jie Liu, Lingyun Song, Li Gao, Xuequn Shang |
| 2022 | COLING | Topology Imbalance and Relation Inauthenticity Aware Hierarchical Graph Attention Networks for Fake News Detection. | Li Gao, Lingyun Song, Jie Liu, Bolin Chen, Xuequn Shang |
| 2019 | AAAI | Connecting Language to Images: A Progressive Attention-Guided Network for Simultaneous Image Captioning and Language Grounding. | Lingyun Song, Jun Liu, Buyue Qian, Yihe Chen |
| 2019 | APWEB | Exploring Nonnegative and Low-Rank Correlation for Noise-Resistant Spectral Clustering. | Zheng Wang, Cai Na, Zeyu Ma, Si Chen, Lingyun Song, Yang Yang |
| 2019 | SDM | An Interpretable Fast Model for Predicting The Risk of Heart Failure. | Xianli Zhang, Buyue Qian, Xiaoyu Li, Jishang Wei, Yingqian Zheng, Lingyun Song, Qinghua Zheng |
| 2014 | CIKM | Faceted Exploring for Domain Knowledge over Linked Open Data. | Meng Wang, Jun Liu, Wenqiang Liu, Qinghua Zheng, Wei Zhang, Lingyun Song, Siyu Yao |