学术论文

Song, S., Ding, K., Zhao, S., Li, S., Li, X., Wang, C., Wan, Q.*, Ji, B., & Yu, J. (2026). Leveraging image as compressed visual prompt and hierarchical visual knowledge for effective image utilization in MLLMs. Proceedings of the AAAI Conference on Artificial Intelligence, 40(30), 25554-25562.

Zhang, Z.⁺, Wan, Q.⁺, Zhao, S., Hao, M., Chen, S., & Wei, L. (2026). Continual relation extraction model based on memory sample selection and historical feature refinement. Applied Soft Computing, 189, 114485.

Wan, Q., Shi, W., Feng, J., Liu, S., Wei, L., Dai, Z., & Sun, J. (2026). Empowering math problem generation and reasoning for large language model via synthetic data based continual learning framework. In Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing.

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).

孙建文, 冯锦天, 万仟*. (2025). 多智能体驱动的虚拟学生模拟助力教师答疑能力提升. 华中师范大学学报（自然科学版）, 59(5), 721-729.

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.

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.

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., Chen, X., & Liu, J. (2021). A region-based hypergraph network for joint entity-relation extraction. Knowledge-Based Systems, 228, 107298.

刘三女牙, 冯锦天, 万仟, 丁可人, 孙建文. (2026). AgentClass: 基于智能体的长周期多尺度课堂仿真建模. 自动化学报(已录用).

Yu, C., Huang, Q., Shen, X., Wan, Q., Dai, Z., Sun, J., & Liang, R. (2026). Towards fine-grained evaluation of explainable recommendation: Aspect-level sentiment consistency for faithfulness assessment. Expert Systems with Applications, 134100.

Yu, C., Huang, Q., Shen, X., Wan, Q., Dai, Z., Sun, J., & Liang, R. (2026). FASC: A feature aspect-level sentiment consistency framework for explainable recommendation evaluation. In Proceedings of the ACM Conference on Recommender Systems.

Zhao, S., Yang, Z., Yan, T., Gong, Y., Wan, Q., Chen, S., Song, S., Wang, C., & Wang, M. (2026). Seeing the Abstract: A benchmark for visual-only metaphor understanding in multimodal large language models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Xu, W., Zhao, S., Chen, H., Yan, T., Wang, C., Chen, S., & Wan, Q. (2026). Beyond drift: Stabilizing subjective LLM evaluation with information-theoretic rubrics. In Proceedings of the 43rd International Conference on Machine Learning.

Song, S., Li, S., Zhao, S., Li, X., Wan, Q., Wang, C., Yan, T., Jun, M., & Yu, J. (2026). Where does vision meet language? Understanding and refining visual fusion in MLLMs via contrastive attention. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 10051-10060).

Liu, S., Li, J., Wan, Q., He, B., Huang, Z., & Li, Q. (2026). Code-driven programming prediction enhanced by LLM with a feature fusion approach. Information Fusion, 131, 104165.

Chen, S., Li, Q., Wang, Y., & Wan, Q. (2026). Discovering individual differences in the near transfer of cognitive training by learning curve analysis of naturally occurring data. Acta Psychologica, 263, 106279.

Bai, Y., Ma, W., Zhao, S., Yan, T., Song, S., Wang, C., & Wan, Q. (2026). RICA: Re-ranking with intra-modal and cross-modal alignment for text-based person search. Expert Systems with Applications, 306, 130931.

Ma, W., Wu, X., Chen, S., Liu, W., Zhao, S., Wan, Q., & Gu, L. (2026). TSGR2: Image-text matching via triple-level scene graph relation reasoning. Applied Soft Computing, 187, 114323.

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, 19(8), 155:1-155:29.

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. In Proceedings of the 33rd ACM International Conference on Multimedia (pp. 9130-9139).

Shen, X., Yu, F., Liu, Y., Liang, R., Wan, Q., Yang, T., Shi, M., & Sun, J. (2025). Enhancing knowledge tracing with question-based contrastive learning. Knowledge-Based Systems, 325, 113899.

Hao, M., Liu, Z., Liu, Y., Wan, Q., Chen, J., Shu, J., Liu, Y., & 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.

Chen, M., Chun, J., Xiang, S., Wei, L., Du, Y., Wan, Q., Chen, Y., & 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). 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). Interpretable knowledge tracing with multiscale state representation. In Proceedings of the ACM Web Conference 2024 (pp. 3265-3276).

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), 1932-1940.

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., Gong, C., Wan, Q., Deng, L., Wan, Y., Liu, Y., Chen, B., & Liu, J. (2021). Transfer learning for deep neural network-based partial differential equations solving. Advances in Aerodynamics, 3, 36.

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, 20053.