Shuang Liang

According to our database, Shuang Liang authored at least 23 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

CVIformer: Cross-View Interactive Transformer for Efficient Stereoscopic Image Super-Resolution.

Dongyang Zhang, Shuang Liang, Tao He, Jie Shao, Ke Qin

IEEE Trans. Emerg. Top. Comput. Intell., April, 2025

Towards Pattern-aware Data Augmentation for Temporal Knowledge Graph Completion.

Jiasheng Zhang, Deqiang Ouyang, Shuang Liang, Jie Shao

CoRR, January, 2025

Toward lightweight image super-resolution via re-parameterized kernel recalibration.

Dongyang Zhang, Jiachi Liu, Shuang Liang, Xiurui Xie, Qiang Dong, Ke Qin

Knowl. Based Syst., 2025

GKA-GPT: Graphical knowledge aggregation for multiturn dialog generation.

Yuezhou Dong, Ke Qin, Shuang Liang, Ahmad Raza, Guangchun Luo

Knowl. Based Syst., 2025

Cross-Graph Knowledge Exchange for Personalized Response Generation in Dialogue Systems.

Yuezhou Dong, Ke Qin, Pei Ke, Shuang Liang, Guangchun Luo

IEEE Internet Things J., 2025

RobustPT: Dynamic Disentanglement Prompt Tuning in Vision-Language Models with Missing Modalities.

Ruiting Dai, Yuqiao Tan, Lisi Mo, Tao He, Ke Qin, Shuang Liang

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

GraphTool-Instruction: Revolutionizing Graph Reasoning in LLMs through Decomposed Subtask Instruction.

Rongzheng Wang, Shuang Liang, Qizhi Chen, Jiasheng Zhang, Ke Qin

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Denoised Edge-Aware Network for Session-based Recommendation.

Xiao Wang, Han Li, Ke Qin, Zherui Fan, Shuang Liang

Proceedings of the 2025 8th International Conference on Software Engineering and Information Management, 2025

2024

MuAP: Multi-step Adaptive Prompt Learning for Vision-Language Model with Missing Modality.

Ruiting Dai, Yuqiao Tan, Lisi Mo, Tao He, Ke Qin, Shuang Liang

CoRR, 2024

Hierarchical Knowledge Aggregation for Personalized Response Generation in Dialogue Systems.

Yuezhou Dong, Ke Qin, Shuang Liang

Proceedings of the Natural Language Processing and Chinese Computing, 2024

DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs.

Jiasheng Zhang, Jialin Chen, Menglin Yang, Aosong Feng, Shuang Liang, Jie Shao, Rex Ying

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Beta-LR: Interpretable Logical Reasoning based on Beta Distribution.

Yizhuo Ma, Ke Qin, Shuang Liang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

G-SAP: Graph-based Structure-Aware Prompt Learning over Heterogeneous Knowledge for Commonsense Reasoning.

Ruiting Dai, Yuqiao Tan, Lisi Mo, Shuang Liang, Guohao Huo, Jiayi Luo, Yao Cheng

Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills.

Hongcai He, Anjie Zhu, Shuang Liang, Feiyu Chen, Jie Shao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Graph-Based Non-Sampling for Knowledge Graph Enhanced Recommendation.

Shuang Liang, Jie Shao, Jiasheng Zhang, Bin Cui

IEEE Trans. Knowl. Data Eng., September, 2023

DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion.

Shuang Liang, Jie Shao, Dongyang Zhang, Jiasheng Zhang, Bin Cui

IEEE Trans. Knowl. Data Eng., March, 2023

Hyper-node Relational Graph Attention Network for Multi-modal Knowledge Graph Completion.

Shuang Liang, Anjie Zhu, Jiasheng Zhang, Jie Shao

ACM Trans. Multim. Comput. Commun. Appl., 2023

Knowledge Graph Embedding Based on Graph Neural Network.

Shuang Liang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Mitigating Data Stalls in Deep Learning with Multi-times Data Loading Rule.

Derong Chen, Shuang Liang, Gang Hu, Han Xu, Xianqiang Luo, Hao Li, Jie Shao

Proceedings of the Database Systems for Advanced Applications, 2023

2022

Step by step: A hierarchical framework for multi-hop knowledge graph reasoning with reinforcement learning.

Anjie Zhu, Deqiang Ouyang, Shuang Liang, Jie Shao

Knowl. Based Syst., 2022

Temporal knowledge graph representation learning with local and global evolutions.

Jiasheng Zhang, Shuang Liang, Yongpan Sheng, Jie Shao

Knowl. Based Syst., 2022

DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion: (Extended Abstract).

Shuang Liang, Jie Shao, Dongyang Zhang, Jiasheng Zhang, Bin Cui

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Spatial-Temporal Attention Network for Temporal Knowledge Graph Completion.

Jiasheng Zhang, Shuang Liang, Zhiyi Deng, Jie Shao

Proceedings of the Database Systems for Advanced Applications, 2021