| 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 | Damba-ST: Domain-Adaptive Mamba for Efficient Urban Spatio-Temporal Prediction. | Rui An, Yifeng Zhang, Ziran Liang, Wenqi Fan, Yuxuan Liang, Xuequn Shang, Qing Li |
| 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 | AIED | Learning Path Planning via Prior-Guided Reinforcement Learning. | Mengfei Liu, Xian-Sheng Hua, Xuequn Shang, Yupei Zhang |
| 2025 | CIKM | STORM: Spatio-Temporal Similar Trajectory Retrieval on Non-Uniform Maritime Data. | Xiaolin Han, Yonghao Zhou, Chenhao Ma, Fang Li, Xuequn Shang |
| 2025 | DASFAA | STAR: Spatio-Temporal Trajectory Recovery for Sparse and Uncertain Marine Trajectories. | Xiaolin Han, Songliang Bai, Gaukhar Issayeva, Chenhao Ma, Fang Li, Xuequn Shang |
| 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 | ReadGraph: Relational Evolution Enhanced Anomaly Detection in Dynamic Heterogeneous Graph. | Xiaolin Han, Xiurui Hu, Chenhao Ma, Xuequn Shang |
| 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 | CIKM | SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection. | Zhihao Ding, Jieming Shi, Shiqi Shen, Xuequn Shang, Jiannong Cao, Zhipeng Wang, Zhi Gong |
| 2024 | EMNLP | A Robust Dual-debiasing VQA Model based on Counterfactual Causal Effect. | Lingyun Song, Chengkun Yang, Xuanyu Li, Xuequn Shang |
| 2024 | ICDE | BOURNE: Bootstrapped Self-Supervised Learning Framework for Unified Graph Anomaly Detection. | Jie Liu, Mengting He, Xuequn Shang, Jieming Shi, Bin Cui, Hongzhi Yin |
| 2023 | ADMA | Deep Knowledge Tracing with Concept Trees. | Yupei Zhang, Rui An, Wenxin Zhang, Shuhui Liu, 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 | AIED | Contrastive Deep Knowledge Tracing. | Huan Dai, Yue Yun, Yupei Zhang, Wenxin Zhang, 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 |
| 2022 | ICDM | Online Deep Knowledge Tracing. | Wenxin Zhang, Yupei Zhang, Shuhui Liu, Xuequn Shang |
| 2022 | ICPR | WeStcoin: Weakly-Supervised Contextualized Text Classification with Imbalance and Noisy Labels. | Yupei Zhang, Yaya Zhou, Shuhui Liu, Wenxin Zhang, Min Xiao, Xuequn Shang |
| 2022 | SMC | Interpretable Educational Recommendation: An Open Framework based on Bayesian Principal Component Analysis. | Yue Yun, Huan Dai, Yupei Zhang, Shuangshuang Wei, Xuequn Shang |
| 2021 | AIED | Self-paced Graph Memory Network for Student GPA Prediction and Abnormal Student Detection. | Yue Yun, Huan Dai, Ruoqi Cao, Yupei Zhang, Xuequn Shang |
| 2021 | LAK | Undergraduate Grade Prediction in Chinese Higher Education Using Convolutional Neural Networks. | Yupei Zhang, Rui An, Jiaqi Cui, Xuequn Shang |
| 2021 | PRICAI | An Improved Deep Model for Knowledge Tracing and Question-Difficulty Discovery. | Huan Dai, Yupei Zhang, Yue Yun, Xuequn Shang |
| 2020 | ADMA | IPMM: Cancer Subtype Clustering Model Based on Multiomics Data and Pathway and Motif Information. | Xinpeng Guo, Yanli Lu, Zhilei Yin, Xuequn Shang |
| 2019 | AAAI | Towards Gene Function Prediction via Multi-Networks Representation Learning. | Hansheng Xue, Jiajie Peng, Xuequn Shang |
| 2019 | CIKM | Integrating Multi-Network Topology via Deep Semi-supervised Node Embedding. | Hansheng Xue, Jiajie Peng, Jiying Li, Xuequn Shang |
| 2019 | EDM | Student Knowledge Diagnosis on Response Data via the Model of Sparse Factor Learning. | Yupei Zhang, Huan Dai, Yue Yun, Xuequn Shang |
| 2018 | PRICAI | Low-Rank Graph Regularized Sparse Coding. | Yupei Zhang, Shuhui Liu, Xuequn Shang, Ming Xiang |
| 2013 | BigData | Revealing the Causes of Dynamic Change in Protein-Protein Interaction Network. | Yang Guo, Xuequn Shang, Jing Li, Zhanhuai Li |
| 2011 | ICDM | FTCluster: Efficient Mining Fault-Tolerant Biclusters in Microarray Dataset. | Miao Wang, Xuequn Shang, Miao Miao, Zhanhuai Li, Wenbin Liu |
| 2010 | ICDM | FDCluster: Mining Frequent Closed Discriminative Bicluster without Candidate Maintenance in Multiple Microarray Datasets. | Miao Wang, Xuequn Shang, Shaohua Zhang, Zhanhuai Li |
| 2009 | DaWaK | Mining High-Correlation Association Rules for Inferring Gene Regulation Networks. | Xuequn Shang, Qian Zhao, Zhanhuai Li |
| 2009 | SAC | Mining functional associated patterns from biological network data. | Xuequn Shang, Zhanhuai Li, Wei Li |
| 2008 | ADMA | Sequential Pattern Mining for Protein Function Prediction. | Miao Wang, Xuequn Shang, Zhanhuai Li |
| 2005 | DaWaK | Processing Sequential Patterns in Relational Databases. | Xuequn Shang, Kai-Uwe Sattler |
| 2005 | PAKDD | Frequent Itemset Mining with Parallel RDBMS. | Xuequn Shang, Kai-Uwe Sattler |
| 2005 | SAC | Depth-first frequent itemset mining in relational databases. | Xuequn Shang, Kai-Uwe Sattler |
| 2004 | SAC | SQL based frequent pattern mining without candidate generation. | Xuequn Shang, Kai-Uwe Sattler, Ingolf Geist |