| Towards better analysis of machine learning models: A visual analytics perspective S Liu, X Wang, M Liu, J Zhu Visual Informatics, 2017 | 330 | 2017 |
| A neural influence diffusion model for social recommendation L Wu, P Sun, Y Fu, R Hong, X Wang, M Wang Proceedings of the 42nd international ACM SIGIR conference on research and …, 2019 | 302 | 2019 |
| A Reinforcement Learning Framework for Explainable Recommendation X Wang, Y Chen, J Yang, L Wu, Z Wu, X Xie IEEE International Conference on Data Mining (ICDM), 2018 | 118 | 2018 |
| Topicpanorama: A full picture of relevant topics S Liu, X Wang, J Chen, J Zhu, B Guo 2014 IEEE Conference on Visual Analytics Science and Technology (VAST), 183-192, 2014 | 111 | 2014 |
| Explainable Recommendation Through Attentive Multi-View Learning J Gao, X Wang, Y Wang, X Xie AAAI Conference on Artificial Intelligence (AAAI), 2019 | 98 | 2019 |
| Socialgcn: An efficient graph convolutional network based model for social recommendation L Wu, P Sun, R Hong, Y Fu, X Wang, M Wang arXiv preprint arXiv:1811.02815, 2018 | 98 | 2018 |
| Co-attentive multi-task learning for explainable recommendation. Z Chen, X Wang, X Xie, T Wu, G Bu, Y Wang, E Chen IJCAI, 2137-2143, 2019 | 92 | 2019 |
| Online Visual Analytics of Text Streams S Liu, J Yin, X Wang, W Cui, K Cao, J Pei IEEE Transactions on Visualization and Computer Graphics 22 (11), 2016 | 84 | 2016 |
| Bridging text visualization and mining: A task-driven survey S Liu, X Wang, C Collins, W Dou, F Ouyang, M El-Assady, L Jiang, ... IEEE transactions on visualization and computer graphics 25 (7), 2482-2504, 2018 | 82 | 2018 |
| Visual diagnosis of tree boosting methods S Liu, J Xiao, J Liu, X Wang, J Wu, J Zhu IEEE transactions on visualization and computer graphics 24 (1), 163-173, 2017 | 82 | 2017 |
| Towards a deep and unified understanding of deep neural models in nlp C Guan, X Wang, Q Zhang, R Chen, D He, X Xie International conference on machine learning, 2454-2463, 2019 | 81 | 2019 |
| Fairness-aware news recommendation with decomposed adversarial learning C Wu, F Wu, X Wang, Y Huang, X Xie Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4462-4469, 2021 | 62 | 2021 |
| Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs K Zhao, X Wang, Y Zhang, L Zhao, Z Liu, C Xing, X Xie ACM SIGIR Conference on Research and Development in Information Retrieval …, 2020 | 62 | 2020 |
| TopicPanorama: A Full Picture of Relevant Topics X Wang, S Liu, J Liu, J Chen, J Zhu, B Guo IEEE Transactions on Visualization and Computer Graphics 22 (12), 2016 | 61 | 2016 |
| Learning fair representations for recommendation: A graph-based perspective L Wu, L Chen, P Shao, R Hong, X Wang, M Wang Proceedings of the Web Conference 2021, 2198-2208, 2021 | 50 | 2021 |
| Towards Explainable Conversational Recommendation Z Chen, X Wang, X Xie, M Parsana, A Soni, X Ao, E Chen International Joint Conferences on Artificial Intelligence (IJCAI), 2020 | 47 | 2020 |
| CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare J Gao, Y He, Y Wang, X Wang, J Wang, G Peng, X Chu IEEE International Conference on Data Mining (ICDM), 2019 | 45 | 2019 |
| CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare J Gao, X Wang, Y Wang, Z Yang, J Gao, J Wang, W Tang, X Xie IEEE International Conference on Data Mining, 2019 | 45 | 2019 |
| Let It Flow: a Static Method for Exploring Dynamic Graphs W Cui, X Wang, S Liu, NH Riche, TM Madhyastha, KL Ma, B Guo IEEE PacificVis, 2014 | 40 | 2014 |
| How Ideas Flow across Multiple Social Groups X Wang, S Liu, Y Chen, TQ Peng, J Su, J Yang, B Guo The IEEE Conference on Visual Analytics Science and Technology (IEEE VAST), 2016 | 38 | 2016 |
Shixia LiuProfessor, IEEE Fellow, Tsinghua UniversityVerified email at tsinghua.edu.cn
