[1] 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).

[2] 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).

[3] 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)

[4] 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).

[5] 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).

[6] 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)