Yongpan Sheng (盛泳潘)

Yongpan Sheng (盛泳潘)

Lecturer, Southwest University

📜 About

I am currently a lecturer at the College of Computer and Information Science, Southwest University (SU). Prior to that, he was a Research Assistant at School of Big Data and Software Engineering, Chongqing University (CQU) from Sep. 2020 to Aug. 2023. In educationally, I obtained my Ph.D. Degree in Computer Architecture from the School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC) on Aug. 2020, under the supervisor of Prof. Zenglin Xu. During my Ph.D. degree pursuing, I joined the Research Practicum Program of University of New South Wales (UNSW), as a joint training Ph.D. candidate working with Prof. Wei Wang from Oct. 2017 to Oct. 2018. Prior to that, I received my Bachelor's Degree in Network Engineering from Chengdu University of Information Technology (CUIT), and Master's Degree in Software Engineering from UESTC in 2011 and 2014, respectively. I have published more than 50 papers in top journals and conferences, including IEEE JSAC, IEEE TMC, IEEE INFOCOM, IEEE/ACM ToN. My research interest lies in knowledge graphs, knowledge-enhanced LLM, agricultural-aware data mining and computation, food computation, and code understanding and representation.

🎓 Experience

2023.09 - nowSouthwest UniversityLecturer
2022.12 - 2023.04The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen)Research Assistant
2020.09 - 2023.08Chongqing UniversityResearch Assistant
2014.09 - 2020.08University of Electronic Science and Technology of ChinaPh.D. Degree
2011.09 - 2014.07University of Electronic Science and Technology of ChinaM.S.
2007.09 - 2011.07University of Electronic Science and Technology of ChinaB.S.

📰 News

🎉 2025.12One paper Air-FedGA about federated learning via over-the-air computation accepted by IEEE TON.
🎉 2025.12My co-author's paper DUPLEX about decentralized federated graph learning accepted by IEEE TMC.
🎉 2025.11One project I participated was granted by the Joint Funds of the National Natural Science Foundation of China.
🎉 2025.11My co-author's paper FedQuad about activation quantization for federated fine-tuning accepted by IEEE TMC.
🎉 2025.10One paper CADER about cloud application deployment in multi-clouds accepted by IEEE TCC.
🎉 2025.05I have been granted the Fundamental Research Funds for the Central Universities.
🎉 2025.05One paper DTORA about task offloading and resource allocation in MEC accepted by JSA.
🎉 2025.05My co-author's paper FedAlt about knowledge distillation in federated learning accepted by Journal of Software.
🎉 2025.04My co-author's paper FedACS about federated graph learning accepted by IEEE TMC.
🎉 2024.12One paper Air-FedGA about federated learning via over-the-air computation accepted by IPDPS 2025.
🎉 2024.12My co-author's paper COACH about end-cloud collaborative inference accepted by INFOCOM 2025.
🎉 2024.08I have been granted the National Natural Science Foundation of China Youth Fund Project.
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📚 Publications

(Corresponding author *)
- Enhancing Uncertain Knowledge Graph Embedding by Learning Graph Structure-Aware Context and Fused-Triple Confidence Information with an Encoder-Decoder Framework [Link][PDF][BIB]
Yujie Song, Yongpan Sheng*, Lirong He, Tao Jia
Data Intelligence (DI), 2026中科院二区
- Can Language Models Capture Human Writing Preferences on Text Summarization? [Link][PDF][BIB]
Jingbao Luo, Ming Liu, Ran Liu, Yongpan Sheng, Xin Hu, Gang Li, WupengNjust
The 63th Annual Meeting of the Association for Computional Linguistics (Findings of ACL-25). Vienna, Austria, July 27th-August 1st, 2025CCF-A
- A Novel Suicide Risk Detection Method via Graph Context-Based Encoding and Adaptive Aggregation [Link][PDF][BIB]
Xianming Zhang, Yongpan Sheng*, Lirong He, Xiangwei Lai, Yongbin Qin, Tao Jia
The 7th International Conference on Natural Language Processing (ICNLP-25). Guangzhou, China, March 21-23, 2025Best Paper Award
- CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Temporal Knowledge Graph Reasoning [Link][PDF][BIB]
Jinze Sun, Yongpan Sheng*, Lirong He, Yongbin Qin, Ming Liu, and Tao Jia
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, 2025CCF-B
- Multi-document semantic relation extraction for news analytics [Link][PDF][BIB]
Yongpan Sheng, Zenglin Xu, Yafang Wang, and Gerard de Melo*
World Wide Web: Internet and Web Information Systems (WWW Journal), 2024, 11(3): 2450-2461CCF-B
- Visualizing Multi-Document Semantics via Open Domain Information Extraction [Link][PDF][BIB]
Yongpan Sheng, Zenglin Xu, Yafang Wang, Xiangyu Zhang, Jia Jia, Zhonghui You, and Gerard de Melo*
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD-18). Dublin, Ireland, September 10-14, 2018CCF-B
- 知识图谱技术综述 [Link][PDF][BIB]
徐增林, 盛泳潘, 贺丽荣, 王雅芳
电子科技大学学报, 2023, 44(11): 79-93
(Corresponding author *)
2026
- PerRec-Generator: An End-To-End Framework Fusing Historical User Preferences for Personalized Recipe Generation with Advanced Decoder Design and Supervised Contrastive Learning [Link][PDF][BIB]
Yingnan Wang, Yongpan Sheng*, Lirong He, Gengjie Jia, and Tao Jia
Under review
- Agri-RelEx: A Sentence-Level Relation Extraction Framework from Agricultural Text with Attention-Guided and Multi-Scale Graph Convolutional Network [Link][PDF][BIB]
Tangyunzhi Jiang, Yongpan Sheng*, Yiting Wang, Lirong He, Ming Liu, and Hui Zhang
Under review
- Agri-RelExIns: A Comprehensive Schema-Based Instruction Dataset for Agricultural-Aware Relation Extraction [Link][PDF][BIB]
Jianglin Dai, Sha Hu*, Lirong He, Hui Zhang, and Yongpan Sheng*
Under review
- ConLM: A Global and Emotion Coherence-Based Context Learning Model for Suicide Risk Detection [Link][PDF][BIB]
Zhuping Ding, Yongpan Sheng*, Yiran Wang, Lirong He, Ming Liu
Under review
2025
- Evaluating Reasoning Capability of Large Language Models on Chinese Agricultural-Aware Textual Datasets: A Preliminary Study [Link][PDF][BIB]
Yujie Song, Yongpan Sheng*, Lirong He, Xiangwei Lai
Under review
- An LLM-based Framework for Domain-Specific Information Extraction: A Case Study in Computer Science and Chemistry [Link][PDF][BIB]
Xungang Gu, Yangjie Tian, Li Ning, Meng Liu, Ruohua Xu, He Zhang*, Hanqiu Liu, Yongpan Sheng, Ming Liu
The 23rd Annual Workshop of the Australasian Language Technology Association (ALTA-25). Sydney, Australia, November 26nd-28th, 2025
- FeaLearner: A Novel Framework of Self-Adaptive Feature Learning and Selection for Suicide Risk Detection from Users’ Social Media Posts [Link][PDF][BIB]
Xianming Zhang, Yongpan Sheng*, Lirong He, Ming Liu, and Xiangwei Lai
The 21st International Conference on Advanced Data Mining and Applications (ADMA-25). Kyoto, Japan, October 22nd-24th, 2025CCF-C
- Semantic-Path Guided Graph Neural Network for Heterogeneous Graph Embedding [Link][PDF][BIB]
Lirong He, Yongpan Sheng*, Hekai Zhang, and Meng Chen
Entropy (Entropy)
2024
- A Survey on the Real Power of ChatGPT [Link][PDF][BIB]
Ming Liu*, Ran Liu, Ye Zhu, Hua Wang, Youyang Qu, Rongsheng Li, Yongpan Sheng, and Wray Buntine
Arxiv
- TKGR-GPRSCL: Enhance Temporal Knowledge Graph Reasoning with Graph Structure-Aware Path Representation and Supervised Contrastive Learning [Link][PDF][BIB]
Lizhu Xiong, Yongpan Sheng*, and Lirong He
The 13th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC-24). Hangzhou, China, November 1-3, 2024CCF-C
2023
- TKGR-RHETNE: A New Temporal Knowledge Graph Reasoning Model via Jointly Modeling Relevant Historical Event and Temporal Neighborhood Event Context [Link][PDF][BIB]
Jinze Sun, Yongpan Sheng*, Ling Zhan, and Lirong He
The 2023 International Conference on Neural Information Processing (ICONIP-23). Changsha, China, November 20-23, 2023CCF-C
2022
- Physical-priors-guided DehazeFormer [Link][PDF][BIB]
Hao Zhou, Zekai Chen, Yun Liu, Yongpan Sheng, Wenqi Ren, and Hailing Xiong
Knowledge-Based Systems (KBS)中科院一区
2021
- An advanced NMF-based approach for single cell data clustering [Link][PDF][BIB]
Peng Zhao, Yongpan Sheng, and Xiaohui Zhan*
The 2022 2nd International Conference on Information Communication and Software Engineering (ICICSE-22). Chongqing, China, March 18-20 2022
- Temporal knowledge graph representation learning with local and global evolutions [Link][PDF][BIB]
Jiasheng Zhang, Shuang Liang, Yongpan Sheng, and Jie Shao*
Knowledge-Based Systems (KBS)中科院一区
- HA-D3QN: Embedding Virtual Private Cloud in Cloud Data Centers with Heuristic Assisted Deep Reinforcement Learning [Link][PDF][BIB]
Meng Chen, Jiaxin Hou, Yongpan Sheng, Yingbo Wu*, Sen Wang, Jianyuan Lu, and Qilin Fan
Future Generation Computer Systems (FGCS)中科院二区
2020
- TKGFrame: A Two-Phase Framework for Temporal-Aware Knowledge Graph Completion [Link][PDF][BIB]
Jiasheng Zhang, Yongpan Sheng*, Zheng Wang, and Jie Shao
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
- 面向知识图谱的学习算法研究与应用 [Link][PDF]
盛泳潘
电子科技大学博士学位论文
Before 2020
- Coherence and Salience-Based Multi-Document Relationship Mining [Link][PDF][BIB]
Yongpan Sheng, and Zenglin Xu
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 2019CCF-C
- Adaptive Local Learning Regularized Nonnegative Matrix Factorization for Data Clustering [Link][PDF][BIB]
Yongpan Sheng, Meng Wang*, Tianxing Wu, and Han Xu
Applied Intelligence (AI)中科院二区
- A Framework for Graph-based Multi-Document Relation Exploration: A Case Study on the News Datasets [PDF]
Yongpan Sheng, and Haojie Huang
The Annual Conference of the 8th National Conference on Social Media Processing (SMP-19). Shenzhen, China, August 16-18 2019
- A Qos-driven Approach for Cloud Service Addressing Attribute of Security [Link][PDF][BIB]
Han Xu*, Xiwei Qiu, Yongpan Sheng, Liang Luo, and Yanping Xiang*
IEEE Access (IEEE Access)IF = 3.557, JCR Q1, 中科院 Q2
- Knowledge Base Completion by Variational Bayesian Neural Tensor Decomposition [Link][PDF][BIB]
Lirong He, Bin Liu, Guangxi Li, Yongpan Sheng, Yafang Wang, and Zenglin Xu
Cognitive Computation中科院二区
- Multi-document conceptual graph construction research based on open domain extraction [Link][PDF][BIB]
Yongpan Sheng, Xuefeng Fu*, and Tianxing Wu
Application Research of Computers (ARC)In Chinese
- A Robust Softmax Regression for Multi-class Classification with Self-Paced Learning [Link][PDF][BIB]
Yazhou Ren, Peng Zhao, Yongpan Sheng, Dezhong Yao, and Zenglin Xu
The 26th International Joint Conference on Artificial Intelligence (IJCAI-17). Melbourne, Australia, August 19-25 2017CCF-A
- A comparison of learning rules in pulse-based neural networks [Link][PDF][BIB]
Yongpan Sheng, Yangyang Wang, Lu Wang, and Gaofeng Zhao
The 13th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP-16). Chengdu, China, December 16-18 2016
- Ant colony Optimization of Virtual Machine Placement for Data Latency Minimization in Cloud Systems [Link][PDF][BIB]
Xiaojia Pan, Lei Wu, Dean Wu, and Yongpan Sheng
The 12nd International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP-15). Chengdu, China, December 18-20 2016
- Incorporating Term Definitions for Taxonomic Relation Identification [Link][PDF][BIB]
Yongpan Sheng, Tianxing Wu, and Xin Wang
The 9th Joint International Semantic Technology Conference (JIST-19). Hangzhou, China, November 25-27 2019

🏆 Grants

主持项目

  • 重庆市教育委员会, 2024年度市教委科学技术研究计划 (重点项目), 低碳效视域下的农作物知识图谱构建关键技术研究, 2024-06-01至2027-06-30.
  • 重庆市科学技术局, 2022年度重庆市自然科学基金 (面上项目), 面向开放环境的知识图谱构建方法研究, 2022-09-01至2026-07-30.
  • 国家自然科学基金委员会, 青年科学基金项目 (C类)[原青年科学基金项目], 面向非结构化文本数据的开放域知识图谱构建方法研究, 2023-01-01 至 2025-12-31. 已结题

参与项目

  • 2025年度重庆市自然科学基金创新发展联合基金（市教委）项目, 高等教育领域大模型关键技术研究, 2025-12-01 至 2028-12-31.
  • 国家自然科学基金委员会, 重点项目, 62132019, 边缘侧大数据计算基础理论与技术, 2022-01-01 至 2026-12-31, 298万元
  • 国家自然科学基金委员会, 重大研究计划, 92367104, 工业互联网生成式人工智能方法与关键技术, 2024-01-01 至 2026-12-31, 80万元
  • 国家自然科学基金委员会, 重大研究计划, 92367104, 工业互联网生成式人工智能方法与关键技术, 2024-01-01 至 2026-12-31, 80万元

💼 Services

    • Publicity Chair, China Conference on Knowledge Graph and Semantic Computing (CCKS 2023), Shenyang, China, August 24-27, 2023
    • Publicity Chair, 2025 6th International Conference on Natural Language Processing and Artificial Intelligence (NLPAI 2025), Chongqing, China, Jnue 13-16, 2025
    • Local Chair, China Conference on Knowledge Graph and Semantic Computing (CCKS 2024), Chongqing, China, September 19th-22nd, 2024
    • Co-chair, The 2023 International Conference on Cyber-physical Social Intelligence (ICCSI 2023, Special Session: Big Data Techniques for Computer Vision), Xian, China, October 20th-23th, 2023
    • Area Chair, The 2026 International Joint Conference on Neural Networks (IJCNN 2026), MECC Maastricht, the Netherlands, June 21st-26th, 2026
    • Area Chair, China Conference on Knowledge Graph and Semantic Computing (CCKS 2026), Xian, China, August 21st-23rd, 2026
    • Area Chair, The 2025 International Joint Conference on Neural Networks (IJCNN 2025), Rome, Italy, June 30-July 5, 2025
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