[1] Guanghe Li, Yixiang Shan, Zhengbang Zhu, Ting Long, Weinan Zhang; DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching. The 41th International Conference on Machine Learning (ICML 2024, CCF A)

[2] Hangyu Wang, Ting Long, Li’ang Yin, Weinan Zhang, Wei Xia, Qichen Hong, Dingyin Xia, Ruiming Tang, Yong Yu; GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing. The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023, CCF A)

[3] Jingwei Yu, Mu Zhenyu, Jiayi Lei, Liang Yin, Wei Xia, Yong Yu, Ting Long; SACAT: Student-Adaptive Computerized Adaptive Testing. DAI 2023: 11:1-11:7

[4] Ting Long, Yutong Xie, Xianyu Chen, Weinan Zhang, Qinxiang Cao, Yong Yu; Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection. The 36th AAAI Conference on Artificial Intelligence (AAAI2022, CCF A).

[5] Ting Long, Jiarui Qin, Jian Shen, Weinan Zhang, Wei Xia, Ruiming Tang, Xiuqiang He, Yong Yu ; Improving Knowledge Tracing with Collaborative Information, WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining (WSDM2022, CCF B).

[6] Ting Long, Yunfei Liu, Weinan Zhang, Wei Xia,  Zhicheng He, Ruiming Tang, Yong Yu ; Automatical Graph-based Knowledge Tracing, In the 15th International Conference on Educational Data Mining (EDM2022)

[7] Jisen Chen, Jian Shen, Ting Long, Liping Shen, Weinan Zhang, Yong Yu; Heterogeneous Graph Representation for Knowledge Tracing, In the 29th International Conference on Neural Information Processing (ICONIP2022, CCF C).

[8] Ting Long, Yunfei Liu, Jian Shen, Weinan Zhang, Yong Yu; Tracing Knowledge State with Individual Cognition and Acquisition Estimation, In the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2021, CCF A).