Yuze Zhao, Zhenya Huang, Yixiao Ma, Rui Li, Kai Zhang, Hao Jiang, Qi Liu, Jinze Wu, Jing Sha, Shijin Wang, RePair: Automated Program Repair with Process-based Feedback, Findings of the 61th annual meeting of the Association for Computational Linguistics (ACL'2024-Findings):16415-16429, Bangkok, Thailand, August 11-16, 2024.
Haotian Zhang, Shuanghong Shen, Bihan Xu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang, Item-Difficulty-Aware Learning Path Recommendation: From a real walking perspective, KDD2024, Accept.
Tong Xiao, Jiayu Liu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang, Enhong Chen, Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process, The International Joint Conference on Artificial Intelligence (IJCAI'2024):6559-6568, Jeju, August 03-09, 2024
Yu Su, Ze Han, Shuanghong Shen, Xuejie Yang, Zhenya Huang, Jinze Wu, Huawei Zhou, Qi Liu, Constructing a Confidence-guided Multiaraph Mode for Cognitive Diagnosis in Personalized Learning,ESWA, Accept.
Bin Hong, Jinze Wu, Jiayu Liu, liang ding, Jing Sha, Kai Zhang, Shijin WANG, Zhenya Huang, End-to-End Graph Flattening Method for Large Language Models,CLNLP 2024, Accept.
Yan Zhuang, Qi Liu, GuanHao Zhao, Zhenya Huang, Weizhe Huang, Zachary Pardos, Enhong Chen, Jinze Wu, Xin Li, A Bounded Ability Estimation for Computerized Adaptive Testing, Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS'2023), New Orleans, USA, Dec 10-16 2023. Accepted.
Zirui Liu, Jinze Wu, Fangzhou Yao, Qi Liu*, Enhong Chen, Jin Sha, Shijin Wang, Yu Su.Research on Computerized Adaptive Testing Method Based on Reinforcement Learning in Intelligent Education Scenarios,CCFDATA 2023, Accept.
Guanhao Zhao, Zhenya Huang, Yan Zhuang, Jiayu Liu, Qi Liu, Zhiding Liu and Jinze Wu. Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems, CIKM2023, Accept.
Shijin Wang, Jinze Wu*, Haotian Zhang, Jing Sha, Zhenya Huang, Qi Liu. Trustworthy End-to-End Deep Student Knowledge Portrait Modelling Method[J]. Journal of Computer Research and Development. 【优秀论文】
Liu, Q., Wu, J., Huang, Z., Wang, H., Ning, Y., Chen, M., ... & Zhou, B. (2023). Federated User Modeling from Hierarchical Information. ACM Transactions on Information Systems, 41(2), 1-33.
Bi, H., Chen, E., He, W., Wu, H., Zhao, W., Wang, S., & Wu, J. (2023, June). BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 37, No. 4, pp. 5018-5026).
Jun Yu, Yingshuai Zheng, Shulan Ruan, Qi Liu, Zhiyuan Cheng, Jinze Wu, Actor-Multi-Scale Context Bidirectional Higher Order Interactive Relation Network for Spatial-Temporal Action Localization, The 32nd International Joint Conference on Artificial Intelligence (IJCAI'2023, CCF A), 19-25 August 2023, Macao, China
Bihan Xu, Zhenya Huang, Jiayu liu, Shuanghong Shen, Qi Liu, Enhong Chen, Jinze Wu, Shijin Wang, Learning Behavior-oriented Knowledge Tracing, The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2023), 2023.
Chen, M., Wu, J., Yin, Y., Huang, Z., Liu, Q., & Chen, E. (2022, August). Dynamic Clustering Federated Learning for Non-IID Data. In CAAI International Conference on Artificial Intelligence (pp. 119-131). Cham: Springer Nature Switzerland.
Su, Y., Cheng, Z., Wu, J., Dong, Y., Huang, Z., Wu, L., ... & Xie, F. (2022). Graph-based cognitive diagnosis for intelligent tutoring systems. Knowledge-Based Systems, 253, 109547.
Su, Y., Cheng, Z., Luo, P., Wu, J., Zhang, L., Liu, Q., & Wang, S. (2021). Time-and-Concept enhanced deep multidimensional item response theory for interpretable knowledge tracing. Knowledge-Based Systems, 218, 106819.
Wu, J., Huang, Z., Liu, Q., Lian, D., Wang, H., Chen, E., ... & Wang, S. (2021, March). Federated deep knowledge tracing. In Proceedings of the 14th ACM international conference on web search and data mining (pp. 662-670).
Wu, J., Liu, Q., Huang, Z., Ning, Y., Wang, H., Chen, E., ... & Zhou, B. (2021, April). Hierarchical personalized federated learning for user modeling. In Proceedings of the Web Conference 2021 (pp. 957-968).
Zhou, Y., Liu, Q., Wu, J., Wang, F., Huang, Z., Tong, W., ... & Ma, J. (2021, August). Modeling context-aware features for cognitive diagnosis in student learning. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (pp. 2420-2428).
Long, Z., Che, L., Wang, Y., Ye, M., Luo, J., Wu, J., ... & Ma, F. (2020). FedSiam: Towards adaptive federated semi-supervised learning. arXiv preprint arXiv:2012.03292.
Huang, Z., Liu, Q., Gao, W., Wu, J., Yin, Y., Wang, H., & Chen, E. (2020, July). Neural mathematical solver with enhanced formula structure. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 1729-1732).
Wu, P. C., Lin, N., Lei, T., Cheng, Q., Wu, J. Z., & Chen, X. P. (2018). A new grasping mode based on a sucked-type underactuated hand. Chinese Journal of Mechanical Engineering, 31, 1-9.