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Shuang Liang 0002
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Publications
- 2026
[j13]Yizhuo Ma, Rongzheng Wang, Shuang Liang, Guangchun Luo, Ke Qin:
TopoLLM: LLM-driven adaptive tool learning for real-time emergency network topology planning. Digit. Commun. Networks 12(2): 273-282 (2026)
[i12]Rongzheng Wang, Yihong Huang, Muquan Li, Jiakai Li, Di Liang, Bob Simons, Pei Ke, Shuang Liang, Ke Qin:
Rethinking LLM-Driven Heuristic Design: Generating Efficient and Specialized Solvers via Dynamics-Aware Optimization. CoRR abs/2601.20868 (2026)- 2025
[j12]Xiao Wang, Tingting Dai, Wudong Cai, Ke Qin, Jie Shao, Shuang Liang
:
Rethinking the Denoising Strategy in Session-Based Recommendation via Bidirectional Information Flow. Data Sci. Eng. 10(4): 711-728 (2025)
[j11]Yuezhou Dong
, Ke Qin
, Pei Ke, Shuang Liang
, Guangchun Luo:
Cross-Graph Knowledge Exchange for Personalized Response Generation in Dialogue Systems. IEEE Internet Things J. 12(10): 13769-13789 (2025)
[j10]Yuezhou Dong, Ke Qin
, Shuang Liang, Ahmad Raza, Guangchun Luo:
GKA-GPT: Graphical knowledge aggregation for multiturn dialog generation. Knowl. Based Syst. 309: 112763 (2025)
[j9]Dongyang Zhang
, Jiachi Liu, Shuang Liang
, Xiurui Xie, Qiang Dong, Ke Qin:
Toward lightweight image super-resolution via re-parameterized kernel recalibration. Knowl. Based Syst. 325: 113876 (2025)
[j8]Jiasheng Zhang, Deqiang Ouyang, Shuang Liang, Jie Shao:
Towards Pattern-aware Data Augmentation for Temporal Knowledge Graph Completion. Proc. VLDB Endow. 18(10): 3573-3586 (2025)
[j7]Meng Wang
, Changyu Li
, Feiyu Chen
, Jie Shao
, Ke Qin
, Shuang Liang
:
MLFormer: Unleashing Efficiency Without Attention for Multimodal Knowledge Graph Embedding. IEEE Trans. Comput. Soc. Syst. 12(6): 5536-5549 (2025)
[j6]Dongyang Zhang
, Shuang Liang
, Tao He
, Jie Shao, Ke Qin:
CVIformer: Cross-View Interactive Transformer for Efficient Stereoscopic Image Super-Resolution. IEEE Trans. Emerg. Top. Comput. Intell. 9(2): 1107-1118 (2025)
[c14]Yizhuo Ma, Rongzheng Wang, Qizhi Chen, Jiakai Li, Shuang Liang, Ke Qin:
Rethinking Graph Reasoning: Equip Large Language Models with Topology-Enhanced Prompt. IEEE Big Data 2025: 2924-2933
[c13]Jiasheng Zhang, Delvin Ce Zhang, Shuang Liang, Zhengpin Li, Rex Ying, Jie Shao:
Retrieval-Augmented Language Model for Knowledge-aware Protein Encoding. ICML 2025
[c12]Xiao Wang
, Han Li
, Ke Qin
, Zherui Fan
, Shuang Liang
:
Denoised Edge-Aware Network for Session-based Recommendation. ICSIM 2025: 110-115
[c11]Rongzheng Wang
, Shuang Liang
, Qizhi Chen
, Jiasheng Zhang
, Ke Qin
:
GraphTool-Instruction: Revolutionizing Graph Reasoning in LLMs through Decomposed Subtask Instruction. KDD (1) 2025: 1492-1503
[c10]Ruiting Dai
, Yuqiao Tan
, Lisi Mo
, Tao He
, Ke Qin
, Shuang Liang
:
RobustPT: Dynamic Disentanglement Prompt Tuning in Vision-Language Models with Missing Modalities. ICMR 2025: 164-172
[i11]Jiasheng Zhang, Deqiang Ouyang, Shuang Liang, Jie Shao:
Towards Pattern-aware Data Augmentation for Temporal Knowledge Graph Completion. CoRR abs/2501.00252 (2025)
[i10]Rongzheng Wang, Qizhi Chen, Yihong Huang, Yizhuo Ma, Muquan Li, Jiakai Li, Ke Qin, Guangchun Luo, Shuang Liang:
GraphCogent: Overcoming LLMs' Working Memory Constraints via Multi-Agent Collaboration in Complex Graph Understanding. CoRR abs/2508.12379 (2025)
[i9]Muquan Li, Hang Gou, Dongyang Zhang, Shuang Liang, Xiurui Xie, Deqiang Ouyang, Ke Qin:
Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation. CoRR abs/2510.04838 (2025)
[i8]Jiakai Li, Rongzheng Wang, Yizhuo Ma, Shuang Liang, Guangchun Luo, Ke Qin:
DSAS: A Universal Plug-and-Play Framework for Attention Optimization in Multi-Document Question Answering. CoRR abs/2510.12251 (2025)
[i7]Xiao Wang, Ke Qin, Dongyang Zhang, Xiurui Xie, Shuang Liang:
Bid Farewell to Seesaw: Towards Accurate Long-tail Session-based Recommendation via Dual Constraints of Hybrid Intents. CoRR abs/2511.08378 (2025)
[i6]Junchen Li, Rongzheng Wang, Yihong Huang, Qizhi Chen, Jiasheng Zhang, Shuang Liang:
NeuroPath: Neurobiology-Inspired Path Tracking and Reflection for Semantically Coherent Retrieval. CoRR abs/2511.14096 (2025)- 2024
[c9]Hongcai He, Anjie Zhu, Shuang Liang, Feiyu Chen, Jie Shao:
Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills. AAAI 2024: 12358-12366
[c8]Ruiting Dai
, Yuqiao Tan
, Lisi Mo
, Shuang Liang
, Guohao Huo
, Jiayi Luo
, Yao Cheng
:
G-SAP: Graph-based Structure-Aware Prompt Learning over Heterogeneous Knowledge for Commonsense Reasoning. ICMR 2024: 1051-1060
[c7]Yizhuo Ma, Ke Qin, Shuang Liang:
Beta-LR: Interpretable Logical Reasoning based on Beta Distribution. NAACL-HLT (Findings) 2024: 1945-1955
[c6]Jiasheng Zhang, Jialin Chen, Menglin Yang, Aosong Feng, Shuang Liang, Jie Shao, Rex Ying:
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs. NeurIPS 2024
[c5]Yuezhou Dong, Ke Qin, Shuang Liang:
Hierarchical Knowledge Aggregation for Personalized Response Generation in Dialogue Systems. NLPCC (1) 2024: 29-42
[i5]Ruiting Dai, Yuqiao Tan, Lisi Mo, Shuang Liang, Guohao Huo, Jiayi Luo, Yao Cheng:
G-SAP: Graph-based Structure-Aware Prompt Learning over Heterogeneous Knowledge for Commonsense Reasoning. CoRR abs/2405.05616 (2024)
[i4]Jiasheng Zhang, Jialin Chen, Menglin Yang, Aosong Feng, Shuang Liang, Jie Shao, Rex Ying:
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs. CoRR abs/2406.12072 (2024)
[i3]Ruiting Dai, Yuqiao Tan, Lisi Mo, Tao He, Ke Qin, Shuang Liang:
MuAP: Multi-step Adaptive Prompt Learning for Vision-Language Model with Missing Modality. CoRR abs/2409.04693 (2024)
[i2]Rongzheng Wang, Shuang Liang, Qizhi Chen, Jiasheng Zhang, Ke Qin:
GraphTool-Instruction: Revolutionizing Graph Reasoning in LLMs through Decomposed Subtask Instruction. CoRR abs/2412.12152 (2024)- 2023
[j5]Shuang Liang
, Jie Shao
, Dongyang Zhang, Jiasheng Zhang, Bin Cui
:
DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion. IEEE Trans. Knowl. Data Eng. 35(3): 2486-2499 (2023)
[j4]Shuang Liang
, Jie Shao
, Jiasheng Zhang, Bin Cui
:
Graph-Based Non-Sampling for Knowledge Graph Enhanced Recommendation. IEEE Trans. Knowl. Data Eng. 35(9): 9462-9475 (2023)
[j3]Shuang Liang
, Anjie Zhu
, Jiasheng Zhang
, Jie Shao
:
Hyper-node Relational Graph Attention Network for Multi-modal Knowledge Graph Completion. ACM Trans. Multim. Comput. Commun. Appl. 19(2): 62:1-62:21 (2023)
[c4]Derong Chen, Shuang Liang
, Gang Hu, Han Xu, Xianqiang Luo, Hao Li, Jie Shao:
Mitigating Data Stalls in Deep Learning with Multi-times Data Loading Rule. DASFAA (1) 2023: 562-577
[i1]Hongcai He, Anjie Zhu, Shuang Liang, Feiyu Chen, Jie Shao:
Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills. CoRR abs/2312.06518 (2023)- 2022
[j2]Anjie Zhu
, Deqiang Ouyang
, Shuang Liang
, Jie Shao
:
Step by step: A hierarchical framework for multi-hop knowledge graph reasoning with reinforcement learning. Knowl. Based Syst. 248: 108843 (2022)
[j1]Jiasheng Zhang, Shuang Liang
, Yongpan Sheng, Jie Shao
:
Temporal knowledge graph representation learning with local and global evolutions. Knowl. Based Syst. 251: 109234 (2022)
[c2]Shuang Liang
, Jie Shao, Dongyang Zhang, Jiasheng Zhang, Bin Cui:
DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion: (Extended Abstract). ICDE 2022: 1499-1500- 2021
[c1]Jiasheng Zhang, Shuang Liang
, Zhiyi Deng, Jie Shao:
Spatial-Temporal Attention Network for Temporal Knowledge Graph Completion. DASFAA (1) 2021: 207-223

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