Spatial-Temporal Attention Network for Temporal Knowledge Graph Completion. - Jiasheng Zhang; Shuang Liang 002; Zhiyi Deng; Jie Shao 001 (DASFAA (1), 2021)

DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion: (Extended Abstract). - Shuang Liang 002; Jie Shao 001; Dongyang Zhang 001; Jiasheng Zhang; Bin Cui 001 (ICDE, 2022)

Temporal knowledge graph representation learning with local and global evolutions. - Jiasheng Zhang; Shuang Liang 002; Yongpan Sheng; Jie Shao 001 (Knowl. Based Syst., 2022)

Step by step: A hierarchical framework for multi-hop knowledge graph reasoning with reinforcement learning. - Anjie Zhu; Deqiang Ouyang; Shuang Liang 002; Jie Shao 001 (Knowl. Based Syst., 2022)

Mitigating Data Stalls in Deep Learning with Multi-times Data Loading Rule. - Derong Chen; Shuang Liang 002; Gang Hu 004; Han Xu; Xianqiang Luo; Hao Li; Jie Shao 001 (DASFAA (1), 2023)

Knowledge Graph Embedding Based on Graph Neural Network. - Shuang Liang 002 (ICDE, 2023)

Hyper-node Relational Graph Attention Network for Multi-modal Knowledge Graph Completion. - Shuang Liang 002; Anjie Zhu; Jiasheng Zhang; Jie Shao 001 (ACM Trans. Multim. Comput. Commun. Appl., 2023)

DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion. - Shuang Liang 002; Jie Shao 001; Dongyang Zhang 001; Jiasheng Zhang; Bin Cui 001 (IEEE Trans. Knowl. Data Eng., 2023)

Graph-Based Non-Sampling for Knowledge Graph Enhanced Recommendation. - Shuang Liang 002; Jie Shao 001; Jiasheng Zhang; Bin Cui 001 (IEEE Trans. Knowl. Data Eng., 2023)

Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills. - Hongcai He; Anjie Zhu; Shuang Liang 002; Feiyu Chen 001; Jie Shao 001 (AAAI, 2024)

G-SAP: Graph-based Structure-Aware Prompt Learning over Heterogeneous Knowledge for Commonsense Reasoning. - Ruiting Dai; Yuqiao Tan; Lisi Mo; Shuang Liang 002; Guohao Huo; Jiayi Luo; Yao Cheng (ICMR, 2024)

Beta-LR: Interpretable Logical Reasoning based on Beta Distribution. - Yizhuo Ma; Ke Qin; Shuang Liang 002 (NAACL-HLT (Findings), 2024)

DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs. - Jiasheng Zhang; Jialin Chen; Menglin Yang 004; Aosong Feng; Shuang Liang 002; Jie Shao 001; Rex Ying (NeurIPS, 2024)

Hierarchical Knowledge Aggregation for Personalized Response Generation in Dialogue Systems. - Yuezhou Dong; Ke Qin; Shuang Liang 002 (NLPCC (1), 2024)

MuAP: Multi-step Adaptive Prompt Learning for Vision-Language Model with Missing Modality. - Ruiting Dai; Yuqiao Tan; Lisi Mo; Tao He 007; Ke Qin; Shuang Liang 002 (CoRR, 2024)

Denoised Edge-Aware Network for Session-based Recommendation. - Xiao Wang 055; Han Li; Ke Qin; Zherui Fan; Shuang Liang 002 (ICSIM, 2025)

GraphTool-Instruction: Revolutionizing Graph Reasoning in LLMs through Decomposed Subtask Instruction. - Rongzheng Wang; Shuang Liang 002; Qizhi Chen; Jiasheng Zhang; Ke Qin (KDD (1), 2025)

RobustPT: Dynamic Disentanglement Prompt Tuning in Vision-Language Models with Missing Modalities. - Ruiting Dai; Yuqiao Tan; Lisi Mo; Tao He 007; Ke Qin; Shuang Liang 002 (ICMR, 2025)

Cross-Graph Knowledge Exchange for Personalized Response Generation in Dialogue Systems. - Yuezhou Dong; Ke Qin; Pei Ke; Shuang Liang 002; Guangchun Luo (IEEE Internet Things J., 2025)

GKA-GPT: Graphical knowledge aggregation for multiturn dialog generation. - Yuezhou Dong; Ke Qin; Shuang Liang 002; Ahmad Raza; Guangchun Luo (Knowl. Based Syst., 2025)

Toward lightweight image super-resolution via re-parameterized kernel recalibration. - Dongyang Zhang 001; Jiachi Liu; Shuang Liang 002; Xiurui Xie; Qiang Dong; Ke Qin (Knowl. Based Syst., 2025)

Towards Pattern-aware Data Augmentation for Temporal Knowledge Graph Completion. - Jiasheng Zhang; Deqiang Ouyang; Shuang Liang 002; Jie Shao 001 (CoRR, 2025)

CVIformer: Cross-View Interactive Transformer for Efficient Stereoscopic Image Super-Resolution. - Dongyang Zhang 001; Shuang Liang 002; Tao He 007; Jie Shao 001; Ke Qin (IEEE Trans. Emerg. Top. Comput. Intell., 2025)