Yongpan Sheng (盛泳潘)

Yongpan Sheng (盛泳潘)

Lecturer, Southwest University

📜 About

I am an Associate Professor at the School of Computer Science and Engineering, Nanjing University of Science and Technology (NJUST), affiliated with Prof. Junlong Zhou's research team. I received my Ph.D. at the School of Computer Science and Technology, University of Science and Technology of China (USTC) in June 2022, supervised by Prof. Hongli Xu and Prof. Liusheng Huang. Prior to that, I received my B.S. degree from USTC in 2014. From July 2022 to July 2024, I served as a post-doctoral researcher at Purple Mountain Laboratories. I have published more than 20 papers in top journals and conferences, including IEEE JSAC, IEEE TMC, IEEE INFOCOM, IEEE/ACM ToN. My research interests include edge intelligence, federated learning, and distributed machine learning.

🎓 Experience

2024.08 - nowNanjing University of Science and TechnologyAssociate Professor
2022.07 - 2024.07Purple Mountain LaboratoriesPost-doctoral Researcher
2019.09 - 2022.06University of Science and Technology of China, USTC-INT GroupPh.D.
2017.09 - 2019.06University of Science and Technology of China, USTC-INT GroupM.S.
2010.09 - 2014.06University of 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.
Show more... >

📚 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
- Special Issue of Information Network Mining and Applications [Link][PDF][BIB]
Yongpan Sheng, Hao Wang, Yixiang Fang
Arxiv
- Enhancing User Suicide Risk Detection by Modeling Effects of Emotional Arousal in Short- and Long-Term Expressions in Their Posts [Link][PDF][BIB]
Xianming Zhang, Yongpan Sheng*, Lirong He, Ming Liu, and Xiangwei Lai
Under review
- Enhancing Temporal Knowledge Graph Reasoning by Jointly Learning History-Aware Event and Graph-Aware Structural Representations [Link][PDF][BIB]
Lingfang Chen, Yongpan Sheng*, Lirong He, and Ming Liu
Under review
- 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
- Evaluating Understanding and Relation Extraction Capability of Large Language Models: A Case Study on Chinese Agricultural-Aware Datasets [Link][PDF][BIB]
Sha Hu, Jianglin Dai, Lirong He, Hui Zhang, and Yongpan Sheng*
Under review
- 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
- 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*
2025 IEEE International Conference on Big Data (IEEE Bigdata-25). Macau SAR, China, December 8th-11st, 2025CCF-C
- 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
2025 IEEE International Conference on Big Data (IEEE Bigdata-25). Macau SAR, China, December 8th-11st, 2025CCF-C
- 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
- 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
- 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
- Semantic-Path Guided Graph Neural Network for Heterogeneous Graph Embedding [Link][PDF][BIB]
Lirong He, Yongpan Sheng*, Hekai Zhang, and Meng Chen
Entropy (Entropy)Minor for Accepted
- Physical-priors-guided DehazeFormer [Link][PDF][BIB]
Hao Zhou, Zekai Chen, Yun Liu, Yongpan Sheng, Wenqi Ren, and Hailing Xiong
Knowledge-Based Systems (KBS)IF = 8.038, CCF-C, JCR Q1, 中科院 Q1
- 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 2022EI Indexed
- 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)IF = 8.038, CCF-C, JCR Q1, 中科院 Q1
- 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)IF = 7.307 in 2022, JCR Q1, 中科院 Q1
- 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 2020CCF-C
- A Hybrid Neural Network Model for Hypernym-hyponym Relation Identification [Link][PDF][BIB]
Yongpan Sheng#, Lirong He#, and Jie Shao
Information Sciences (IS)IF = 5.910, CCF-B, JCR Q1, 中科院 Q1 (In Press)
- Joint semantics and data-driven path representation for knowledge graph reasoning [Link][PDF][BIB]
Guanglin Niu, Bo Li, Yongfei Zhang*, Yongpan Sheng, Chuan Shi, Jingyang Li, and Shiliang Pu
Neurocomputing (Neurocomputing)IF = 5.719, CCF-C, JCR Q1, 中科院 Q1
- Research and Application of Learning Methods for Knowledge Graphs [Link][PDF][BIB]
Yongpan Sheng
Chengdu: University of Electronic Science and Technology of ChinaDoctoral Dissertation, In Chinese
- 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
- A Framework for Graph-based Multi-Document Relation Exploration: A Case Study on the News Datasets [Link][PDF][BIB]
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
- 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)IF = 1.651, JCR Q2, 中科院 Q3
- 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 (Cognitive Computation)IF = 3.479, JCR Q1, 中科院 Q2
- 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 2016EI Indexed
- 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 2016EI Indexed
- Review on Knowledge Graph Techniques [Link][PDF][BIB]
Zenglin Xu, Yongpan Sheng, Lirong He, and Yafang Wang
Journal of University of Electronic Science and Technology of China (JUESTC)(SELECTED) In Chinese
- 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
2023.05.28, ChinaSubmitted

(Corresponding author *)
2025
- Asynchronous Federated Learning over Non-IID Data via Over-the-air Computation [Link][PDF][BIB]
Qianpiao Ma, Xiaozhu Song, Junlong Zhou, Haibo Wang, Yunming Liao, Jianchun Liu, Hongli Xu
IEEE Transactions on Networking (TON), 2025CCF-A
- Air-FedGA: A Grouping Asynchronous Federated Learning Mechanism Exploiting Over-the-air Computation [Link][PDF][BIB]
Qianpiao Ma, Junlong Zhou, Xiangpeng Hou, Jianchun Liu, Hongli Xu, Jianeng Miao, Qingmin Jia
IEEE International Parallel and Distributed Processing Symposium (IPDPS), Milano, Italy, 2025: 1-12CCF-B
- FRACTAL: Data-aware Clustering and Communication Optimization for Decentralized Federated Learning [Link][PDF][BIB]
Qianpiao Ma*, Jianchun Liu, Hongli Xu, Qingmin Jia, Renchao Xie
IEEE Transactions on Big Data (TBD), 2025, 11(5), 2102-2118中科院二区
- CADER: Cost-Efficient Cloud Application Deployment with Tenant Requirement Guarantee in Multi-Clouds [Link][PDF][BIB]
Huaqing Tu, Ziqiang Hua, Qianpiao Ma*, Hanguang Luo, Tao Zou, Gongming Zhao, Hongli Xu
IEEE Transactions on Cloud Computing (TCC), 2025, 13(4): 1091-1104中科院二区
- FedQuad: Adaptive Layer-wise LoRA Deployment and Activation Quantization for Federated Fine-Tuning [Link][BIB]
Jianchun Liu, Rukuo Li, Hongli Xu, Qianpiao Ma, Jiaming Yan, Liusheng Huang
IEEE Transactions on Mobile Computing (TMC), 2025CCF-A中科院一区
- Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data [Link][BIB]
Shilong Wang, Jianchun Liu, Hongli Xu, Chenxia Tang, Qianpiao Ma, Liusheng Huang
IEEE Transactions on Mobile Computing (TMC), 2025CCF-A中科院一区
- FedACS: An Adaptive Client Selection Framework for Communication-Efficient Federated Graph Learning [Link][PDF][BIB]
Hongli Xu, xianjun Gao, Jianchun Liu, Qianpiao Ma, Liusheng Huang
IEEE Transactions on Mobile Computing (TMC), 2025, 24(10): 9760-9773CCF-A中科院一区
- Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization[Link][PDF][BIB]
Luyao Gao, Jianchun Liu, Hongli Xu, Sun Xu, Qianpiao Ma, Liusheng Huang
IEEE Conference on Computer Communications (INFOCOM), London, United Kingdom, 2025: 1-10CCF-A
- Dynamic Task Offloading and Resource Allocation for Energy-Harvesting End-Edge-Cloud Computing Systems [Link][PDF][BIB]
Xiaozhu Song, Qianpiao Ma, Zheng Gan, Liying Li, Peijin Cong, and Junlong Zhou
Journal of Systems Architecture: Embedded Software Design, 2025, 103469CCF-B
- 基于块级多输出和知识自蒸馏的高效联邦学习框架 [Link][BIB]
刘建春,梁文艺,徐宏力,马千飘,黄刘生
软件学报, 2025CCF-T1
- Deterministic computing power networking: Architecture, technologies and prospects [Link][PDF][BIB]
Qingmin Jia, Yujiao Hu, Xiaomao Zhou, Qianpiao Ma, Kai Guo, Huayu Zhang, Renchao Xie, Tao Huang, Yunjie Liu
China Communications, 2025
2024
- FedUC: A Unified Clustering Approach for Hierarchical Federated Learning [Link][PDF][BIB]
Qianpiao Ma, Yang Xu, Hongli Xu, Jianchun Liu, Liusheng Huang
IEEE Transactions on Mobile Computing (TMC), 2024, 23(10): 9737-9756CCF-A中科院一区
- Fully Distributed Task Offloading in Vehicular Edge Computing [Link][PDF][BIB]
Qianpiao Ma*, Hongli Xu, Haibo Wang, Yang Xu, Qingmin Jia, Chunming Qiao
IEEE Transactions on Vehicular Technology (TVT), 2024, 73(4), 5630-5646中科院二区
- Dynamic Staleness Control for Asynchronous Federated Learning in Decentralized Topology [Link][PDF][BIB]
Qianpiao Ma, Jianchun Liu, Qingmin Jia, Xiaomao Zhou, Yujiao Hu, Renchao Xie
The 18th International Conference on Wireless Artificial Intelligent Computing Systems and Applications (WASA), 2024: 99-117CCF-C
- Distributed Strategy for Collaborative Traffic Measurement in a Multi-Controller SDN [Link][PDF][BIB]
Da Yao, Qianpiao Ma*, Haibo Wang, Min Chen, Hongli Xu
IEEE Transactions on Network Science and Engineering (TNSE), 2024, 11(3): 2450-2461中科院二区
- FedCD: A Hybrid Federated Learning Framework for Efficient Training With IoT Devices [Link][PDF][BIB]
Jianchun Liu, Yujia Huo, Pengcheng Qu, Sun Xu, Zhi Liu, Qianpiao Ma*, Jinyang Huang
IEEE Internet of Things Journal (IOT), 2024, 11(11): 20040-20050中科院二区
- Yoga: Adaptive layer-wise model aggregation for decentralized federated learning [Link][PDF][BIB]
Jun Liu, Jianchun Liu, Hongli Xu, Yunming Liao, Zhiyuan Wang, Qianpiao Ma
IEEE/ACM Transactions on Networking (TON), 2024, 32(2): 1768-1780CCF-A
- Towards Communication-Efficient Federated Graph Learning: An Adaptive Client Selection Perspective [Link][PDF][BIB]
Xianjun Gao, Jianchun Liu, Hongli Xu, Qianpiao Ma, Lun Wang
IEEE/ACM International Workshop on Quality of Service (IWQoS), Guangzhou, China, 2024: 1-10CCF-B
2023
- 异构边缘计算环境下异步联邦学习的节点分组与分时调度策略 [Link][PDF][BIB]
马千飘, 贾庆民, 刘建春, 徐宏力, 谢人超, 黄韬
通信学报, 2023, 44(11): 79-93CCF-T1
- FedCD: A Hybrid Centralized-Decentralized Architecture for Efficient Federated Learning [Link][PDF][BIB]
Pengcheng Qu, Jianchun Liu, Zhiyuan Wang, Qianpiao Ma, Jinyang Huang
IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS), IEEE, 2023: 964-971CCF-C
- 自智算力网络: 架构, 技术与展望 [Link][PDF][BIB]
周晓茂, 贾庆民, 胡玉姣, 郭凯, 马千飘, 刘辉, 谢人超
物联网学报, 2023, 7(4): 1-12CCF-T2
Before 2022
- FedSA: A Semi-Asynchronous Federated Learning Mechanism in Heterogeneous Edge Computing [Link][PDF][BIB]
Qianpiao Ma, Yang Xu, Hongli Xu, Zhida Jiang, Liusheng Huang, He Huang
IEEE Journal on Selected Areas in Communications (JSAC), 2021, 39(12): 3654-3672CCF-A中科院一区
- Lightweight flow distribution for collaborative traffic measurement in software defined networks [Link][PDF][BIB]
Hongli Xu, Shigang Chen, Qianpiao Ma, Liusheng Huang
IEEE Conference on Computer Communications (INFOCOM), Paris, France, 2019: 1108-1116CCF-A
- Service Placement Considering Robustness and Dynamic in Edge Computing [Link][PDF][BIB]
Yang Liu, Qianpiao Ma
IEEE 6th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA), 2021: 369-374

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🏆 Grants

主持项目

  • 国家自然科学基金委员会, 青年基金, 62402537, 面向预训练模型的边缘联邦学习关键技术研究, 2025-01-01 至 2027-12-31. Computer Networks
  • 中央高校基本科研业务费, 基础研究专项, 30925010408, 面向端侧设备的联邦微调关键技术研究, 2025-06-01 至 2027-06-30, 10万元
  • 江苏省人社厅, 江苏省卓越博士后计划（揭榜领题）, JB23085, 大规模异构网络下的边缘智能关键技术研究, 2023-5-1 至2025-4-30, 30万元

参与项目

  • 国家自然科学基金委员会, 联合基金项目, U25A20442, 边云协同的多模态行为可信感知与稳健解析研究, 2026-01-01 至 2029-12-31, 258万元
  • 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

    • 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

    • Local Chair, China Conference on Knowledge Graph and Semantic Computing (CCKS 2024), Chongqing, China, September 19th-22nd, 2024

    Co-chair

    Area Chair

    • 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

    Program Committee

    • PC Member, The 10th APWeb-WAIM Joint International Conference on Web and Big Data (APWeb-WAIM 2026), Danang, Vietnam, September 7th-9th, 2026
    • PC Member, The Web Conference 2026 Demo Track (WWW 2026 Demo Track), Dubai, United Arab Emirates, April 13th-17th, 2026
    • PC Member, The 31st International Conference on Database Systems for Advanced Applications (DASFAA 2026), Jeju, Korea, April 27th-30th, 2026
    • PC Member, The 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2026), Hong Kong SAR, China, June 9th-12th, 2026
    • PC Member, The 32nd International Conference on MultiMedia Modeling (MMM 2026), Prague, Czech Republic, January 29th-31st, 2026
    • PC Member, The 19th China Conference on Knowledge Graph and Semantic Computing (CCKS 2025), Fuzhou, China, September 19th-21st, 2025
    • PC Member, The 32nd International Conference on Neural Information Processing (ICONIP 2025), Okinawa, Japan, November 20th-24th, 2025
    • PC Member, The 14th International Joint Conference on Knowledge Graphs (IJCKG 2025), Heraklion, Grete, Greece, October 15-17, 2025
    • PC Member, The International World Wide Web Conference (WWW 2025), Australia, April 28-May 2, 2025
    • PC Member, The 34th International Joint Conference on Artificial Intelligence (IJCAI 2025), Montreal, Canada, August 16th-22th, 2025
    • PC Member, The 31st International Conference on Neural Information Processing (ICONIP 2024), Auckland, New Zealand, December 2nd-6th, 2024
    • PC Member, The 8th APWeb-WAIM International Joint Conference on Web and Big Data (APWeb-WAIM 2024), Jinhua, China, August 30-Septemper 1, 2024
    • PC Member, The 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), Jeju Island, South Korea, August 3rd-9th, 2024
    • PC Member, 2024 SIAM International Conference on Data Mining (SDM 2024), Westin Houston, TX, U.S., April 18-20, 2024
    • PC Member, The 29th International Conference on Database Systems for Advanced Applications (DASFAA 2024), Gifu, Japan, May 13-16, 2024
    • PC Member, China Conference on Knowledge Graph and Semantic Computing (CCKS 2023), Shenyang, China, August 24-27, 2023
    • PC Member, The 22nd China National Conference on Computational Linguistics (CCL 2023), Haerbing, China, August 3-5, 2023
    • PC Member, The 7th APWeb-WAIM International Joint Conference on Web and Big Data (APWeb-WAIM 2023), Wuhan, China, October 6-8, 2023
    • PC Member, The 28th International Conference on Database Systems for Advanced Applications (DASFAA 2023), Tianjin, China, April 17-20, 2023
    • PC Member, The 21st China National Conference on Computational Linguistics (CCL 2022), Nanchang, China, October 14-16, 2022
    • PC Member, The 8th International Conference on Data Mining (DaMi 2022), Chennai, India, August 20-21, 2022
    • PC Member, The 29th International Conference on Neural Information Processing (ICONIP 2022), New Delhi, India, November 22-26, 2022
    • PC Member, China Conference on Knowledge Graph and Semantic Computing (CCKS 2022), Qinhuangdao, China, August 25-28, 2022
    • PC Member, The 2023 International Conference on Images, Signals, and Computing (ICISC 2023), Chengdu, China, April 15-17, 2023
    • PC Member, International Conference Advanced Data Mining and Applications (ADMA 2022), Brisbane, Australia, 30th November-2nd December, 2022
    • PC Member, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2022), Grenoble, France, September 19-23, 2022
    • PC Member, The 5th Asia Pacific Web and Web-Age Information Management Joint Conference on Web and Big Data (APWeb-WAIM 2021), Guangzhou, China, August 23-25, 2021
    • PC Member, The 4th Asia Pacific Web and Web-Age Information Management Joint Conference on Web and Big Data (APWeb-WAIM 2020), Tianjin, China, August 12-14, 2020
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