Xiting Wang
Xiting Wang
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Tytuł
Cytowane przez
Cytowane przez
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Towards better analysis of machine learning models: A visual analytics perspective
S Liu, X Wang, M Liu, J Zhu
Visual Informatics, 2017
2142017
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
1282019
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
982014
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
722016
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
682018
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
602017
Explainable Recommendation Through Attentive Multi-View Learning
J Gao, X Wang, Y Wang, X Xie
AAAI Conference on Artificial Intelligence (AAAI), 2019
502019
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
502018
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
502018
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
442016
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
392019
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
392019
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
322014
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
312016
Improving Learning-from-Crowds through Expert Validation.
M Liu, L Jiang, J Liu, X Wang, J Zhu, S Liu
IJCAI, 2329-2336, 2017
222017
Mining evolutionary multi-branch trees from text streams
X Wang, S Liu, Y Song, B Guo
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
202013
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
172020
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
162020
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
142019
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
142019
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