1、基本信息
姓名：万仟
办公地点：华中师范大学南湖校区
专业职称：助理研究员
博/硕导：硕士生导师
硕士生招生专业：计算机科学与技术 软件工程 人工智能 大数据
邮箱：wanq8228@ccnu.edu.cn
2、科研项目
国家重点研发计划课题，教学内容自适应规划和可溯因共情个性化反馈（2024YFC3308204），2025.05-2028.04，90万元，在研，课题负责人
国家自然科学基金重点项目，面向智慧教育的多模态模型构建方法（62437002），2025.01-2029.12，232万元，在研，项目骨干
国家自然科学基金青年项目，基于规律引导和提示学习的多目标智能答疑关键技术研究（62307015），2024.01-2026.12，30万元，在研，项目负责人
中国博士后科学基金面上资助，基于学习状态跟踪和策略因果发现的答疑回复可控生成研究（2023M741304），2024.01-2025.12，5万元，在研，项目负责人
湖北省自然科学基金青年项目，基于知识抽取的教育视频解构与组织方法研究（2023AFB295），2023.07-2025.06，5万元，在研，项目负责人
湖北省自然科学基金创新群体项目，智能导学机理与关键技术（2023AFA020），2023.07-2026.06，50万元，在研，项目骨干
武汉市知识创新专项项目（曙光计划），基于认知-情感-意图时序因果发现的智能答疑策略回复生成研究（2023010201020390），2023.06-2025.06，10万元，在研，项目负责人
湖北省博士后创新研究岗位，2023.07-2025.06，6万元，结项，项目负责人
科技创新2030-“新一代人工智能”重大项目，多时空跨尺度认知与情感规律挖掘方法（2022ZD0117103），2023.03-2026.02，200万元，在研，项目骨干
中央高校基本科研业务费资助项目，基于字幕信息抽取的教育视频智能分析方法研究（CCNU23XJ003），2023.01-2024.12，10万元，结项，项目负责人
国家自然科学基金重大项目，跨媒体教学资源理解与个性化导学方法研究（62293553），2023.01-2027.12，283万元，在研，项目骨干
3、研究方向
大语言模型、信息抽取、知识追踪、情感计算、合成数据、教育智能体
4、专利成果
一种基于大模型的数学试题生成求解协同增强方法及系统，2025108093977，受理中
基于多智能体协同的对话式课堂教学质量评估方法及系统，2025112424525，受理中
一种基于自适应多级检索增强的数学题生成方法及系统，2025104076332，受理中
基于智能体模拟教学场景的数学推理数据合成方法及系统，2025103026088，受理中
基于多层次经验学习的教育大模型塔式构建方法，ZL 2024 1 1676504.5，已授权
基于情境感知与情绪推理的共情对话生成方法，ZL 2023 1 1852964.4，已授权
一种面向非结构化序列文本中实体的关系抽取方法及装置，202311615190.3，受理中
一种实体识别方法、装置、设备及介质，202310612768.3，受理中
5、教育背景
2018年至2022年,国防科技大学,博士
2013年至2016年,西北工业大学,硕士
2009年至2013年,西安理工大学,本科
6、讲授课程
深度学习、人工智能导引
7、发表论文
Wan, Q., Shi, W., Feng, J., Liu, S., Wei, L., Dai, Z., & Sun, J. (2025) Empowering Math Problem Generation and Reasoning for Large Language Model via Synthetic Data based Continual Learning Framework. EMNLP2025 (Accepted.)
Yu, F., Sun, J., Wan, Q., Chen, M., Shen, X., & Li, Q. (2025). DiffuQKT: A Diffusion-Based Approach for Improved Question Representation in Knowledge Tracing. ACM MM2025 (Accepted.).
Shen, X., Yu, F., Wan, Q., Liang, R., & Sun, J. (2025). Multi-level Contrastive Learning for Knowledge Tracing. ACM Transactions on Knowledge Discovery from Data.
Shen, X., Yu, F., Liu, Y., Liang, R., Wan, Q., Yang, T., ... & Sun, J. (2025). Enhancing knowledge tracing with question-based contrastive learning. Knowledge-Based Systems, 113899.
Sun, J., Shi, W., Shen, X., Liu, S., Wei, L., & Wan, Q*. (2025). Multi-objective math problem generation using large language model through an adaptive multi-level retrieval augmentation framework. Information Fusion, 119, 103037.
Wei, L., Cui, Y., Chen, M., Wan, Q*., & Xing, L. (2025). Multi-objective neural policy approach for agile earth satellite scheduling problem considering image quality. Swarm and Evolutionary Computation, 94, 101857.
Liu, S., Feng, J., Shen, X., Liu, S., Wan, Q*., & Sun, J. (2025, April). VCR: A “Cone of Experience” Driven Synthetic Data Generation Framework for Mathematical Reasoning. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 39, No. 23, pp. 24650-24658).
Liu, S., Feng, J., Yang, Z., Luo, Y., Wan, Q*., Shen, X., & Sun, J. (2024). COMET:“cone of experience” enhanced large multimodal model for mathematical problem generation. Science China Information Sciences, 67(12), 220108.
Chen, M., Chun, J., Xiang, S., Wei, L., Du, Y., Wan, Q., ... & Chen, Y. (2024). Learning to solve quadratic unconstrained binary optimization in a classification way. Advances in Neural Information Processing Systems, 37, 114478-114509.
Shen, X., Yu, F., Liu, Y., Liang, R., Wan, Q., Yang, K., & Sun, J. (2024, October). Revisiting knowledge tracing: A simple and powerful model. In Proceedings of the 32nd ACM International Conference on Multimedia (pp. 263-272).
Zhang, Z., Zhao, S., Zhang, H., Wan, Q., & Liu, J. (2024). Document-level relation extraction with three channels. Knowledge-Based Systems, 284, 111281.
Zhang, Z., Zhang, H., Wan, Q., & Liu, J. (2024). Entity–relation triple extraction based on relation sequence information. Expert Systems with Applications, 238, 121561.
Wei, L., Chen, M., Xing, L., Wan, Q., Song, Y., Chen, Y., & Chen, Y. (2024). Knowledge-transfer based genetic programming algorithm for multi-objective dynamic agile earth observation satellite scheduling problem. Swarm and Evolutionary Computation, 85, 101460.
Sun, J., Yu, F., Wan, Q., Li, Q., Liu, S., & Shen, X. (2024, May). Interpretable knowledge tracing with multiscale state representation. In Proceedings of the ACM Web Conference 2024 (pp. 3265-3276).
Hao, M., Liu, Z., Liu, Y., Wan, Q., Chen, J., Shu, J., ... & Mei, L. (2025). Investigating the relationships among peer moderation, cognitive engagement, and learning achievement in online discussion forums. Interactive Learning Environments, 33(1), 901-919.
Wan, Q., Du, S., Liu, Y., Fang, J., Wei, L., & Liu, S. (2023). Document-level relation extraction with hierarchical dependency tree and bridge path. Knowledge-Based Systems, 278, 110873.
Wan, Q., Wei, L., Zhao, S., & Liu, J. (2023). A Span-based Multi-Modal Attention Network for joint entity-relation extraction. Knowledge-Based Systems, 262, 110228.
Zhang, Z., Zhang, H., Wan, Q., & Liu, J. (2022). LELNER: A lightweight and effective low-resource named entity recognition model. Knowledge-Based Systems, 251, 109178.
Chen, X., Li, T., Wan, Q., He, X., Gong, C., Pang, Y., & Liu, J. (2022). MGNet: a novel differential mesh generation method based on unsupervised neural networks. Engineering with Computers, 38(5), 4409-4421.
Zhang, Z., Zhang, H., Wan, Q., Jia, X., Zhang, Z., & Liu, J. (2022). Ancient poetry generation with an unsupervised method. Neural Computing and Applications, 34(11), 8525-8538.
陈新海, 刘杰, 万仟, & 龚春叶. (2022). 一种改进的基于深度神经网络的偏微分方程求解方法. 计算机工程与科学, 44(11), 1932.
Wan, Q., Wei, L., Chen, X., & Liu, J. (2021). A region-based hypergraph network for joint entity-relation extraction. Knowledge-Based Systems, 228, 107298.
Wei, L., Xing, L., Wan, Q., Song, Y., & Chen, Y. (2021). A multi-objective memetic approach for time-dependent agile earth observation satellite scheduling problem. Computers & Industrial Engineering, 159, 107530.
Chen, X., Chen, R., Wan, Q., Xu, R., & Liu, J. (2021). An improved data-free surrogate model for solving partial differential equations using deep neural networks. Scientific reports, 11(1), 19507.
