Le Dai, Yu Yin, Enhong Chen, Hui Xiong, Unifying Graph Retrieval and Prompt Tuning for Graph-Grounded Text Classification, Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '24, CCF A, Accepted). [PDF] [CITE]
2023
Yu Yin*, Le Dai*, Zhenya Huang, Shuanghong Shen, Fei Wang, Qi Liu, Enhong Chen, Xin Li, Tracing Knowledge Instead of Patterns: Stable Knowledge Tracing with Diagnostic Transformer, Proceedings of the ACM Web Conference 2023 (TheWebConf '23, CCF A). [PDF] [CODE] [SLIDES] [CITE]
Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yu Yin, Shijin Wang, Yu Su, NeuralCD: A General Framework for Cognitive Diagnosis, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE, CCF A). [PDF] [CITE]
Shuanghong Shen, Enhong Chen, Qi Liu, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang, Monitoring Student Progress for Learning Process-Consistent Knowledge Tracing, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE, CCF A). [PDF] [CITE]
Ruixin Li, Yu Yin, Le Dai, Shuanghong Shen, Xin Lin, Yu Su, Enhong Chen, PST: Measuring Skill Proficiency in Programming Exercise Process via Programming Skill Tracing, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '22, CCF A). [PDF] [CITE]
Le Dai, Yu Yin, Chuan Qin, Enhong Chen, Hui Xiong, Decomposing Complementary and Substitutable Relations for Intercorporate Investment Recommendation, 2022 IEEE International Conference on Data Mining (ICDM) (ICDM '22, CCF B). [PDF] [CITE]
Song Cheng, Qi Liu, Enhong Chen, Kai Zhang, Zhenya Huang, Yu Yin, Xiaoqing Huang, Yu Su, AdaptKT: A Domain Adaptable Method for Knowledge Tracing, Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (WSDM '22, CCF B). [PDF] [CITE]
Jianfu Zhu, Zhongkai Hao, Qi Liu, Yu Yin, Chengqiang Lu, Zhenya Huang, Enhong Chen, Towards Exploring Large Molecular Space: An Efficient Chemical Genetic Algorithm, Journal of Computer Science and Technology. [PDF] [CITE]
Changyang Wu, Xin Lin, Zhenya Huang, Yu Yin, Jiayu Liu, Qi Liu, Gang Zhou, Clause-level Relationship-aware Math Word Problems Solver, Machine Intelligence Research. [PDF] [CITE]
Ming Chen, Jinze Wu, Yu Yin, Zhenya Huang, Qi Liu, Enhong Chen, Dynamic Clustering Federated Learning for Non-IID Data, Artificial Intelligence: Second CAAI International Conference, CICAI 2022, Beijing, China, August 27–28, 2022, Revised Selected Papers, Part III. [PDF] [CITE]
2021
Shuanghong Shen, Qi Liu, Enhong Chen, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang, Learning Process-Consistent Knowledge Tracing, Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data mining (KDD '21, CCF A). [PDF] [CITE]
Weibo Gao, Qi Liu, Zhenya Huang, Yu Yin, Haoyang Bi, Mu-Chun Wang, Jianhui Ma, Shijin Wang, Yu Su, RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems, Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '21, CCF A). [PDF] [CITE]
2020
Le Dai, Yu Yin, Chuan Qin, Tong Xu, Xiangnan He, Enhong Chen, Hui Xiong, Enterprise Cooperation and Competition Analysis with a Sign-Oriented Preference Network, Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD '20, CCF A). [PDF] [CITE]
Zhenya Huang, Qi Liu, Weibo Gao, Jinze Wu, Yu Yin, Hao Wang, Enhong Chen, Neural Mathematical Solver with Enhanced Formula Structure, Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '20, CCF A). [PDF] [SLIDES] [CITE]
Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yuying Chen, Yu Yin, Zai Huang, Shijin Wang, Neural Cognitive Diagnosis for Intelligent Education Systems, Proceedings of the AAAI conference on artificial intelligence (AAAI '20, CCF A). [PDF] [CODE] [CITE]
Xin Wang, Wei Huang, Qi Liu, Yu Yin, Zhenya Huang, Le Wu, Jianhui Ma, Xue Wang, Fine-grained Similarity Measurement between Educational Videos and Exercises, Proceedings of the 28th ACM International Conference on Multimedia (ACM MM '20, CCF A). [PDF] [CITE]
Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang, Quality Meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing, 2020 IEEE International Conference on Data Mining (ICDM) (ICDM '20, CCF B). [PDF] [CITE]
Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Hui Xiong, Yu Su, Guoping Hu, EKT: Exercise-aware Knowledge Tracing for Student Performance Prediction, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE, CCF A, ESI highly cited paper). [PDF] [CODE] [SLIDES] [CITE]
Yu Yin, Qi Liu, Zhenya Huang, Enhong Chen, Wei Tong, Shijin Wang, Yu Su, QuesNet: A Unified Representation for Heterogeneous Test Questions, Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD '19, CCF A). [PDF] [CODE] [CITE]
Zhenya Huang, Qi Liu, Chengxiang Zhai, Yu Yin, Enhong Chen, Weibo Gao, Guoping Hu, Exploring Multi-Objective Exercise Recommendations in Online Education Systems, Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM '19, CCF B). [PDF] [CITE]
2018
Yu Yin, Zhenya Huang, Enhong Chen, Qi Liu, Fuzheng Zhang, Xing Xie, Guoping Hu, Transcribing Content from Structural Images with Spotlight Mechanism, Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD '18, CCF A). [PDF] [CODE] [CITE]
Yu Su, Qingwen Liu, Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Chris Ding, Si Wei, Guoping Hu, Exercise-Enhanced Sequential Modeling for Student Performance Prediction, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI '18, CCF A). [PDF] [CITE]