Refereed Journal and Conference Papers


("#" refers to equal contribution, the order of authorship is decided through dice rolling
"*" refers to corresponding author
"(SELECTED)" refers to the representative works of my primary research direction but not necessarily the best works! )

Manuscript/Preprints

  1. Lizhu Xiong, Yongpan Sheng*, Lirong He, and Tao Jia, Enhancing Temporal Knowledge Graph Reasoning with Graph Structural-Aware Context Representation and Supervised Contrastive Learning. Arxiv
  2. Zhenhao Li, Yongpan Sheng*, Zhichao Ma, and Fengyun Zhang, CodeSimGNet: Code Similarity Detection for Various Morphological Graph Structures using Graph Neural Networks. Arxiv
  3. Yongpan Sheng, Hao Wang, Yixiang Fang, Special Issue of Information Network Mining and Applications. Arxiv
  4. Yongpan Sheng*, Cong Jin, Yujie Song, Lizhu Xiong, Lirong He, Xiangwei Lai, and Tao Jia, GeoSTData-Viz: Visualizing Geographic Spatio-Temporal Data Semantics from Knowledge Graph in Forest Fire-Resource Protection Scenarios. Arxiv
  5. Yongpan Sheng*, Tangyunzhi Jiang, Yujie Song, Lirong He, Xiangwei Lai, and Tao Jia, CarCKGBuilder: A Novel Carbon-Assessed Crop Knowledge Graph Construction in Agricultural Domain for Carbon Effects Analytics. Arxiv
  6. Tangyunzhi Jiang, Yongpan Sheng*, Yiting Wang, Lirong He, and Xiangwei Lai, AgrRE: Attention Guided and Multi-Scale Graph Convolutional Network for Relation Extraction from Chinese Agricultural-Aware Text. Arxiv
  7. Ming Liu*, Ran Liu, Ye Zhu, Hua Wang, Youyang Qu, Rongsheng Li, Yongpan Sheng, and Wray Buntine, A Survey on the Real Power of ChatGPT. Arxiv

2026

2025

2024

  1. Tangyunzhi Jiang, Yongpan Sheng*, Yiting Wang, Lirong He, and Xiangwei Lai, and Pingping Zhou, Relation Classification from Chinese Agricultural-Aware Text with Attention Guided and Multi-Scale Graph Convolutional Network. Under review
  2. Xianming Zhang, Yongpan Sheng*, Lirong He, and Xiangwei Lai, and Tao Jia, A Novel Suicide Risk Detection Method via Graph Context-Based Encoding and Adaptive Aggregation. Under review
  3. Yujie Song, Yongpan Sheng*, Lirong He, Xiangwei Lai, Hui Zhang, and Pingping Zhou, Evaluating Reasoning Capability of Large Language Models on Chinese Agricultural-Aware Textual Datasets: A Preliminary Study. Under review
  4. Jingbao Luo, Ming Liu, Ran Liu, Yongpan Sheng, Gang Li, Xin Hu, and WupengNjust, Can Language Models Capture Human Writing Preferences on Text Summarization? Under review
  5. Jinze Sun, Yongpan Sheng*, Lirong He, Yongbin Qin, Ming Liu, and Tao Jia, CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Temporal Knowledge Graph Reasoning. Bridging Neurons and Symbols for Natural Language Processing and Knowledge Graphs Reasoning @ COLING (COLING NeusymBridge Workshop-25). Abu Dhabi, UAE from January 19th to 24th, 2025. (CCF-B Workshop)
  6. Lizhu Xiong, Yongpan Sheng*, and Lirong He, TKGR-GPRSCL: Enhance Temporal Knowledge Graph Reasoning with Graph Structure-Aware Path Representation and Supervised Contrastive Learning. The 13th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC-24). Hangzhou, China, November 1-3, 2024. (CCF-C)

2023

  1. Yongpan Sheng, A syntactic-based model for open relation extraction. Computer Science (Computer Science). (In Chinese)
  2. Jinze Sun, Yongpan Sheng*, Ling Zhan, and Lirong He, TKGR-RHETNE: A New Temporal Knowledge Graph Reasoning Model via Jointly Modeling Relevant Historical Event and Temporal Neighborhood Event Context. The 2023 International Conference on Neural Information Processing (ICONIP-23). Changsha, China, November 20-23, 2023. (CCF-C)
  3. Yongpan Sheng, Chunyan Liu, Lirong He, and Yan Lei*, A Systematical Study on Dynamic Fault Localization for Machine Learning Methods. (To be Submitted)

2022

  1. Lirong He, Yongpan Sheng*, Hekai Zhang, and Meng Chen, Semantic-Path Guided Graph Neural Network for Heterogeneous Graph Embedding. Entropy (Entropy). (Minor for Accepted)
  2. Hao Zhou, Zekai Chen, Yun Liu, Yongpan Sheng, Wenqi Ren, and Hailing Xiong, Physical-priors-guided DehazeFormer. Knowledge-Based Systems (KBS). (IF = 8.038, CCF-C, JCR Q1, 中科院 Q1)
  3. Chunyan Liu, Yan Lei, Yongpan Sheng, Meng Yan, Xiaoguang Mao, and Zhou Xu, Review on Dynamic Fault Localization Methods Based on Machine Learning. (Under Review)

2021

  1. Yongpan Sheng, Lirong He, Incorporating Contextualized Definition into Term-Pair Representations for Enhanced Hypernym-hyponym Relation Identification. (Under Review)
  2. Peng Zhao, Yongpan Sheng, and Xiaohui Zhan*, An advanced NMF-based approach for single cell data clustering. The 2022 2nd International Conference on Information Communication and Software Engineering (ICICSE-22). Chongqing, China, March 18-20 2022 (EI Indexed)
  3. Jiasheng Zhang, Shuang Liang, Yongpan Sheng, and Jie Shao*, Temporal knowledge graph representation learning with local and global evolutions. Knowledge-Based Systems (KBS). (IF = 8.038, CCF-C, JCR Q1, 中科院 Q1)
  4. Meng Chen, Jiaxin Hou, Yongpan Sheng, Yingbo Wu*, Sen Wang, Jianyuan Lu, and Qilin Fan, HA-D3QN: Embedding Virtual Private Cloud in Cloud Data Centers with Heuristic Assisted Deep Reinforcement Learning. Future Generation Computer Systems (FGCS). (IF = 7.307 in 2022, JCR Q1, 中科院 Q1)

2020

  1. Jiasheng Zhang, Yongpan Sheng*, Zheng Wang, and Jie Shao, TKGFrame: A Two-Phase Framework for Temporal-Aware Knowledge Graph Completion. The 4th Asia Pacific Web and Web-Age Information Management Joint Conference on Web and Big Data (APWeb-WAIM-20). Tianjin, China, August 12-14 2020 (CCF-C)
  2. Yongpan Sheng#, Lirong He#, and Jie Shao, A Hybrid Neural Network Model for Hypernym-hyponym Relation Identification. Information Sciences (IS). (IF = 5.910, CCF-B, JCR Q1, 中科院 Q1) (In Press)
  3. Guanglin Niu, Bo Li, Yongfei Zhang*, Yongpan Sheng, Chuan Shi, Jingyang Li, and Shiliang Pu, Joint Semantics and Data-Driven Path Representation for Knowledge Graph Inference. Neurocomputing (Neurocomputing). (IF = 5.719, CCF-C, JCR Q1, 中科院 Q1)
  4. Yongpan Sheng, Research and Application of Learning Methods for Knowledge Graphs, Chengdu: University of Electronic Science and Technology of China. (Doctoral Dissertation, In Chinese)

2019

  1. (SELECTED) Yongpan Sheng, Zenglin Xu, Yafang Wang, and Gerard de Melo*, Multi-document semantic relation extraction for news analytics. World Wide Web: Internet and Web Information Systems (WWW Journal). (IF = 1.15, CCF-B)
  2. Yongpan Sheng, Tianxing Wu, and Xin Wang, Incorporating Term Definitions for Taxonomic Relation Identification. The 9th Joint International Semantic Technology Conference (JIST-19). Hangzhou, China, November 25-27 2019
  3. Yongpan Sheng, and Haojie Huang, A Framework for Graph-based Multi-Document Relation Exploration: A Case Study on the News Datasets. The Annual Conference of the 8th National Conference on Social Media Processing (SMP-19). Shenzhen, China, August 16-18 2019
  4. Yongpan Sheng, and Zenglin Xu, Coherence and Salience-Based Multi-Document Relationship Mining. The 3rd Asia Pacific Web and Web-Age Information Management Joint Conference on Web and Big Data (APWeb-WAIM-19). Chengdu, China, August 1-3 2019 (CCF-C)
  5. Yongpan Sheng, Meng Wang*, Tianxing Wu, and Han Xu, Adaptive Local Learning Regularized Nonnegative Matrix Factorization for Data Clustering. Applied Intelligence (AI). (IF = 1.651, JCR Q2, 中科院 Q3)

2018

  1. Han Xu*, Xiwei Qiu, Yongpan Sheng, Liang Luo, and Yanping Xiang*, A Qos-driven Approach for Cloud Service Addressing Attribute of Security. IEEE Access (IEEE Access). (IF = 3.557, JCR Q1, 中科院 Q2)
  2. (SELECTED) Yongpan Sheng, Zenglin Xu, Yafang Wang, Xiangyu Zhang, Jia Jia, Zhonghui You, and Gerard de Melo, Visualizing Multi-Document Semantics via Open Domain Information Extraction. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD-18). Dublin, Ireland, September 10-14, 2018 (CCF-B) (Demonstration Paper)
  3. Lirong He, Bin Liu, Guangxi Li, Yongpan Sheng, Yafang Wang, and Zenglin Xu, Knowledge Base Completion by Variational Bayesian Neural Tensor Decomposition. Cognitive Computation (Cognitive Computation). (IF = 3.479, JCR Q1, 中科院 Q2)
  4. Yongpan Sheng, Xuefeng Fu*, and Tianxing Wu, Multi-document conceptual graph construction research based on open domain extraction. Application Research of Computers (ARC). (In Chinese)

2017

  1. Yazhou Ren, Peng Zhao, Yongpan Sheng, Dezhong Yao, and Zenglin Xu, A Robust Softmax Regression for Multi-class Classification with Self-Paced Learning. The 26th International Joint Conference on Artificial Intelligence (IJCAI-17). Melbourne, Australia, August 19-25 2017 (CCF-A)

Before 2017

  1. Yongpan Sheng, Yangyang Wang, Lu Wang, and Gaofeng Zhao, A comparison of learning rules in pulse-based neural networks. The 13th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP-16). Chengdu, China, December 16-18 2016 (EI Indexed)
  2. Xiaojia Pan, Lei Wu, Dean Wu, and Yongpan Sheng, Ant colony Optimization of Virtual Machine Placement for Data Latency Minimization in Cloud Systems. The 12nd International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP-15). Chengdu, China, December 18-20 2016 (EI Indexed)
  3. (SELECTED) Zenglin Xu, Yongpan Sheng, Lirong He, and Yafang Wang, Review on Knowledge Graph Techniques. Journal of University of Electronic Science and Technology of China (JUESTC). (In Chinese)

Patents

  1. Jinze Sun, Yongpan Sheng, Ling Zhan, and Lirong He, TKGR-RHETNE: A New Temporal Knowledge Graph Reasoning Model via Jointly Modeling Relevant Historical Event and Temporal Neighborhood Event Context, 2023.05.28, China (Submitted)
  2. Zenglin Xu, Lirong He, Bin Liu, Guangxi Li, Yongpan Sheng, Yafang Wang, A Method of Knowledge Base Completion by Variational Bayesian Neural Tensor Decomposition (No. ZL201610578882.9), 2018.09.04, China (Authorized)
  3. Yongpan Sheng, Yan Zhang, Peng Zhao, Ying Xie, Lu Wang, A Hierarchical Classification Method of Email Contents (No. ZL201610793018.0), 2019.03.15, China (Authorized)