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Jiliang Tang
Jiliang Tang
University Foundation Professor of Computer Science and Engineering, Michigan State University
Preverjeni e-poštni naslov na msu.edu - Domača stran
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Leto
Fake news detection on social media: A data mining perspective
K Shu, A Sliva, S Wang, J Tang, H Liu
ACM SIGKDD explorations newsletter 19 (1), 22-36, 2017
41592017
Feature selection: A data perspective
J Li, K Cheng, S Wang, F Morstatter, RP Trevino, J Tang, H Liu
ACM computing surveys (CSUR) 50 (6), 1-45, 2017
37542017
Graph neural networks for social recommendation
W Fan, Y Ma, Q Li, Y He, E Zhao, J Tang, D Yin
The world wide web conference, 417-426, 2019
23402019
Feature selection for classification: A review
J Tang, S Alelyani, H Liu
Data classification: Algorithms and applications, 37, 2014
19552014
A survey on dialogue systems: Recent advances and new frontiers
H Chen, X Liu, D Yin, J Tang
Acm Sigkdd Explorations Newsletter 19 (2), 25-35, 2017
9642017
Adversarial attacks and defenses in images, graphs and text: A review
H Xu, Y Ma, HC Liu, D Deb, H Liu, JL Tang, AK Jain
International journal of automation and computing 17, 151-178, 2020
8402020
Graph structure learning for robust graph neural networks
W Jin, Y Ma, X Liu, X Tang, S Wang, J Tang
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
7512020
Heterogeneous network embedding via deep architectures
S Chang, W Han, J Tang, GJ Qi, CC Aggarwal, TS Huang
Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015
7162015
Social recommendation: a review
J Tang, X Hu, H Liu
Social Network Analysis and Mining 3, 1113-1133, 2013
6472013
Exploring temporal effects for location recommendation on location-based social networks
H Gao, J Tang, X Hu, H Liu
Proceedings of the 7th ACM conference on Recommender systems, 93-100, 2013
6332013
Traffic flow prediction via spatial temporal graph neural network
X Wang, Y Ma, Y Wang, W Jin, X Wang, J Tang, C Jia, J Yu
Proceedings of the web conference 2020, 1082-1092, 2020
6082020
Feature Selection for Clustering: A Review.
S Alelyani, J Tang, H Liu
Data Clustering: Algorithms and Applications 29, 110-121, 2013
565*2013
mTrust: Discerning multi-faceted trust in a connected world
J Tang, H Gao, H Liu
Proceedings of the fifth ACM international conference on Web search and data …, 2012
542*2012
Unsupervised sentiment analysis with emotional signals
X Hu, J Tang, H Gao, H Liu
Proceedings of the 22nd international conference on World Wide Web, 607-618, 2013
5182013
Exploiting social relations for sentiment analysis in microblogging
X Hu, L Tang, J Tang, H Liu
Proceedings of the sixth ACM international conference on Web search and data …, 2013
4542013
Xgnn: Towards model-level explanations of graph neural networks
H Yuan, J Tang, X Hu, S Ji
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
4432020
Deep reinforcement learning for page-wise recommendations
X Zhao, L Xia, L Zhang, Z Ding, D Yin, J Tang
Proceedings of the 12th ACM Conference on Recommender Systems, 95-103, 2018
4372018
Attributed network embedding for learning in a dynamic environment
J Li, H Dani, X Hu, J Tang, Y Chang, H Liu
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
4222017
Recommendations with negative feedback via pairwise deep reinforcement learning
X Zhao, L Zhang, Z Ding, L Xia, J Tang, D Yin
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
4162018
Graph convolutional networks with eigenpooling
Y Ma, S Wang, CC Aggarwal, J Tang
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
4072019
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