Yongpan Sheng

22 papers A* 1Journal 12Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multi-view Attention Fusion of Heterogeneous Hypergraph with Dynamic Behavioral Profiling for Personalized Learning Resource Recommendation.
CoRR
Tao Xie, Yan Li, Yongpan Sheng, Jian Liao
2025 — conf
CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Temporal Knowledge Graph Reasoning.
COLING Workshops
Jinze Sun, Yongpan Sheng, Lirong He, Yongbin Qin, Ming Liu, Tao Jia
2025 — conf
Can Language Models Capture Human Writing Preferences for Domain-Specific Text Summarization?
ACL (Findings)
Jingbao Luo, Ming Liu, Ran Liu, Yongpan Sheng, Xin Hu, Gang Li, Peng Wu
2025 — conf
FeaLearner: A Novel Framework of Self-Adaptive Feature Learning and Selection for Suicide Risk Detection from Users' Social Media Posts.
ADMA (2)
Xianming Zhang, Yongpan Sheng, Lirong He, Ming Liu, Xiangwei Lai
2024 J jnl
A Survey on the Real Power of ChatGPT.
CoRR
Ming Liu, Ran Liu, Ye Zhu, Hua Wang, Youyang Qu, Rongsheng Li, Yongpan Sheng, Wray L. Buntine
2024 J jnl
CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Improving Temporal Knowledge Graph Extrapolation Reasoning.
CoRR
Jinze Sun, Yongpan Sheng, Lirong He
2024 — conf
TKGR-GPRSCL: Enhance Temporal Knowledge Graph Reasoning with Graph Structure-Aware Path Representation and Supervised Contrastive Learning.
NLPCC (2)
Lizhu Xiong, Yongpan Sheng, Lirong He
2023 J jnl
HA-D3QN: Embedding virtual private cloud in cloud data centers with heuristic assisted deep reinforcement learning.
Future Gener. Comput. Syst.
Meng Chen, Jiaxin Hou, Yongpan Sheng, Yingbo Wu, Sen Wang, Jianyuan Lu, Qilin Fan
2023 J jnl
Physical-priors-guided DehazeFormer.
Knowl. Based Syst.
Hao Zhou, Zekai Chen, Yun Liu, Yongpan Sheng, Wenqi Ren, Hailing Xiong
2023 — conf
TKGR-RHETNE: A New Temporal Knowledge Graph Reasoning Model via Jointly Modeling Relevant Historical Event and Temporal Neighborhood Event Context.
ICONIP (5)
Jinze Sun, Yongpan Sheng, Ling Zhan, Lirong He
2022 J jnl
Joint semantics and data-driven path representation for knowledge graph reasoning.
Neurocomputing
Guanglin Niu, Bo Li, Yongfei Zhang, Yongpan Sheng, Chuan Shi, Jingyang Li, Shiliang Pu
2022 J jnl
Temporal knowledge graph representation learning with local and global evolutions.
Knowl. Based Syst.
Jiasheng Zhang, Shuang Liang, Yongpan Sheng, Jie Shao
2020 J jnl
Joint Semantics and Data-Driven Path Representation for Knowledge Graph Inference.
CoRR
Guanglin Niu, Bo Li, Yongfei Zhang, Yongpan Sheng, Chuan Shi, Jingyang Li, Shiliang Pu
2020 J jnl
Multi-document semantic relation extraction for news analytics.
World Wide Web
Yongpan Sheng, Zenglin Xu, Yafang Wang, Gerard de Melo
2020 — conf
TKGFrame: A Two-Phase Framework for Temporal-Aware Knowledge Graph Completion.
APWeb/WAIM (1)
Jiasheng Zhang, Yongpan Sheng, Zheng Wang, Jie Shao
2019 J jnl
Adaptive local learning regularized nonnegative matrix factorization for data clustering.
Appl. Intell.
Yongpan Sheng, Meng Wang, Tianxing Wu, Han Xu
2019 — conf
Coherence and Salience-Based Multi-Document Relationship Mining.
APWeb/WAIM (1)
Yongpan Sheng, Zenglin Xu
2019 — conf
Incorporating Term Definitions for Taxonomic Relation Identification.
JIST
Yongpan Sheng, Tianxing Wu, Xin Wang
2018 J jnl
A Qos-Driven Approach to the Cloud Service Addressing Attributes of Security.
IEEE Access
Han Xu, Xiwei Qiu, Yongpan Sheng, Liang Luo, Yanping Xiang
2018 J jnl
Knowledge Base Completion by Variational Bayesian Neural Tensor Decomposition.
Cogn. Comput.
Lirong He, Bin Liu, Guangxi Li, Yongpan Sheng, Yafang Wang, Zenglin Xu
2018 — conf
Visualizing Multi-document Semantics via Open Domain Information Extraction.
ECML/PKDD (3)
Yongpan Sheng, Zenglin Xu, Yafang Wang, Xiangyu Zhang, Jia Jia, Zhonghui You, Gerard de Melo
2017 A* conf
Robust Softmax Regression for Multi-class Classification with Self-Paced Learning.
IJCAI
Yazhou Ren, Peng Zhao, Yongpan Sheng, Dezhong Yao, Zenglin Xu