Convolutional knowledge tracing: Modeling individualization in student learning process S Shen, Q Liu, E Chen, H Wu, Z Huang, W Zhao, Y Su, H Ma, S Wang Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 155 | 2020 |
Neurjudge: A circumstance-aware neural framework for legal judgment prediction L Yue, Q Liu, B Jin, H Wu, K Zhang, Y An, M Cheng, B Yin, D Wu Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 93 | 2021 |
MCNE: An end-to-end framework for learning multiple conditional network representations of social network H Wang, T Xu, Q Liu, D Lian, E Chen, D Du, H Wu, W Su Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 91 | 2019 |
Multi-modal siamese network for entity alignment L Chen, Z Li, T Xu, H Wu, Z Wang, NJ Yuan, E Chen Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 87 | 2022 |
Patent quality valuation with deep learning models H Lin, H Wang, D Du, H Wu, B Chang, E Chen Database Systems for Advanced Applications: 23rd International Conference …, 2018 | 35 | 2018 |
Patent litigation prediction: A convolutional tensor factorization approach. Q Liu, H Wu, Y Ye, H Zhao, C Liu, D Du IJCAI, 5052-5059, 2018 | 34 | 2018 |
Patent2Vec: Multi-view representation learning on patent-graphs for patent classification L Fang, L Zhang, H Wu, T Xu, D Zhou, E Chen World Wide Web 24 (5), 1791-1812, 2021 | 32 | 2021 |
Image-enhanced multi-level sentence representation net for natural language inference K Zhang, G Lv, L Wu, E Chen, Q Liu, H Wu, F Wu 2018 IEEE International Conference on Data Mining (ICDM), 747-756, 2018 | 25 | 2018 |
Circumstances enhanced criminal court view generation L Yue, Q Liu, H Wu, Y An, L Wang, S Yuan, D Wu Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 21 | 2021 |
Technical phrase extraction for patent mining: A multi-level approach Y Liu, H Wu, Z Huang, H Wang, J Ma, Q Liu, E Chen, H Tao, K Rui 2020 IEEE international conference on data mining (ICDM), 1142-1147, 2020 | 21 | 2020 |
Video emotion analysis enhanced by recognizing emotion in video comments W Cao, K Zhang, H Wu, T Xu, E Chen, G Lv, M He International Journal of Data Science and Analytics 14 (2), 175-189, 2022 | 15 | 2022 |
Deep technology tracing for high-tech companies H Wu, K Zhang, G Lv, Q Liu, R Yu, W Zhao, E Chen, J Ma 2019 IEEE international conference on data mining (ICDM), 1396-1401, 2019 | 13 | 2019 |
BETA-CD: A Bayesian meta-learned cognitive diagnosis framework for personalized learning H Bi, E Chen, W He, H Wu, W Zhao, S Wang, J Wu Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 5018-5026, 2023 | 12 | 2023 |
TechPat: technical phrase extraction for patent mining Y Liu, H Wu, Z Huang, H Wang, Y Ning, J Ma, Q Liu, E Chen ACM Transactions on Knowledge Discovery from Data 17 (9), 1-31, 2023 | 11 | 2023 |
Multilevel image-enhanced sentence representation net for natural language inference K Zhang, G Lv, L Wu, E Chen, Q Liu, H Wu, X Xie, F Wu IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (6), 3781-3795, 2019 | 9 | 2019 |
Tipster: A topic-guided language model for topic-aware text segmentation Z Gong, S Tong, H Wu, Q Liu, H Tao, W Huang, R Yu International Conference on Database Systems for Advanced Applications, 213-221, 2022 | 7 | 2022 |
Hierarchical multi-modal attention network for time-sync comment video recommendation W Zhao, H Wu, W He, H Bi, H Wang, C Zhu, T Xu, E Chen IEEE Transactions on Circuits and Systems for Video Technology 34 (4), 2694-2705, 2023 | 6 | 2023 |
A hierarchical interactive multi-channel graph neural network for technological knowledge flow forecasting H Liu, H Wu, L Zhang, R Yu, Y Liu, C Liu, M Li, Q Liu, E Chen Knowledge and Information Systems 64 (7), 1723-1757, 2022 | 6 | 2022 |
A circumstance-aware neural framework for explainable legal judgment prediction L Yue, Q Liu, B Jin, H Wu, Y An IEEE Transactions on Knowledge and Data Engineering, 2024 | 5 | 2024 |
A multi-aspect neural tensor factorization framework for patent litigation prediction H Wu, G Zhu, Q Liu, H Zhu, H Wang, H Zhao, C Liu, E Chen, H Xiong IEEE Transactions on Big Data 10 (1), 35-54, 2023 | 5 | 2023 |