Robust Softmax Regression for Multi-class Classification with Self-Paced Learning. - Yazhou Ren 001; Peng Zhao; Yongpan Sheng; Dezhong Yao 001; Zenglin Xu (IJCAI, 2017)

Visualizing Multi-document Semantics via Open Domain Information Extraction. - Yongpan Sheng; Zenglin Xu; Yafang Wang; Xiangyu Zhang; Jia Jia; Zhonghui You; Gerard de Melo (ECML/PKDD (3), 2018)

A Qos-Driven Approach to the Cloud Service Addressing Attributes of Security. - Han Xu; Xiwei Qiu; Yongpan Sheng; Liang Luo; Yanping Xiang (IEEE Access, 2018)

Knowledge Base Completion by Variational Bayesian Neural Tensor Decomposition. - Lirong He; Bin Liu 022; Guangxi Li; Yongpan Sheng; Yafang Wang; Zenglin Xu (Cogn. Comput., 2018)

Coherence and Salience-Based Multi-Document Relationship Mining. - Yongpan Sheng; Zenglin Xu (APWeb/WAIM (1), 2019)

Incorporating Term Definitions for Taxonomic Relation Identification. - Yongpan Sheng; Tianxing Wu 001; Xin Wang 030 (JIST, 2019)

Adaptive local learning regularized nonnegative matrix factorization for data clustering. - Yongpan Sheng; Meng Wang 009; Tianxing Wu 001; Han Xu (Appl. Intell., 2019)

TKGFrame: A Two-Phase Framework for Temporal-Aware Knowledge Graph Completion. - Jiasheng Zhang; Yongpan Sheng; Zheng Wang 044; Jie Shao 001 (APWeb/WAIM (1), 2020)

Joint Semantics and Data-Driven Path Representation for Knowledge Graph Inference. - Guanglin Niu; Bo Li 006; Yongfei Zhang; Yongpan Sheng; Chuan Shi 001; Jingyang Li; Shiliang Pu (CoRR, 2020)

Multi-document semantic relation extraction for news analytics. - Yongpan Sheng; Zenglin Xu; Yafang Wang; Gerard de Melo (World Wide Web, 2020)

Joint semantics and data-driven path representation for knowledge graph reasoning. - Guanglin Niu; Bo Li 006; Yongfei Zhang; Yongpan Sheng; Chuan Shi 001; Jingyang Li; Shiliang Pu (Neurocomputing, 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)

TKGR-RHETNE: A New Temporal Knowledge Graph Reasoning Model via Jointly Modeling Relevant Historical Event and Temporal Neighborhood Event Context. - Jinze Sun; Yongpan Sheng; Ling Zhan; Lirong He (ICONIP (5), 2023)

Physical-priors-guided DehazeFormer. - Hao Zhou 038; Zekai Chen; Yun Liu 002; Yongpan Sheng; Wenqi Ren; Hailing Xiong (Knowl. Based Syst., 2023)

HA-D3QN: Embedding virtual private cloud in cloud data centers with heuristic assisted deep reinforcement learning. - Meng Chen; Jiaxin Hou; Yongpan Sheng; Yingbo Wu; Sen Wang; Jianyuan Lu; Qilin Fan (Future Gener. Comput. Syst., 2023)

TKGR-GPRSCL: Enhance Temporal Knowledge Graph Reasoning with Graph Structure-Aware Path Representation and Supervised Contrastive Learning. - Lizhu Xiong; Yongpan Sheng; Lirong He (NLPCC (2), 2024)

A Survey on the Real Power of ChatGPT. - Ming Liu 028; Ran Liu 011; Ye Zhu 002; Hua Wang 002; Youyang Qu; Rongsheng Li; Yongpan Sheng; Wray L. Buntine (CoRR, 2024)

CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Improving Temporal Knowledge Graph Extrapolation Reasoning. - Jinze Sun; Yongpan Sheng; Lirong He (CoRR, 2024)

Can Language Models Capture Human Writing Preferences for Domain-Specific Text Summarization? - Jingbao Luo; Ming Liu; Ran Liu 011; Yongpan Sheng; Xin Hu; Gang Li 009; Peng Wu (ACL (Findings), 2025)

CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Temporal Knowledge Graph Reasoning. - Jinze Sun; Yongpan Sheng; Lirong He; Yongbin Qin; Ming Liu; Tao Jia (COLING Workshops, 2025)