Carl J. Yang
Carl J. Yang
Verified email at illinois.edu - Homepage
Title
Cited by
Cited by
Year
Bridging collaborative filtering and semi-supervised learning: a neural approach for poi recommendation
C Yang, L Bai, C Zhang, Q Yuan, J Han
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
2242017
Adversarial attack and defense on graph data: A survey
L Sun, Y Dou, C Yang, J Wang, PS Yu, B Li
arXiv preprint arXiv:1812.10528, 2018
692018
I know you'll be back: Interpretable new user clustering and churn prediction on a mobile social application
C Yang, X Shi, L Jie, J Han
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
522018
Heterogeneous network representation learning: A unified framework with survey and benchmark
C Yang, Y Xiao, Y Zhang, Y Sun, J Han
IEEE Transactions on Knowledge and Data Engineering, 2020
49*2020
Design principles for sparse matrix multiplication on the gpu
C Yang, A Buluç, JD Owens
European Conference on Parallel Processing, 672-687, 2018
462018
A comparative study on exact triangle counting algorithms on the gpu
L Wang, Y Wang, C Yang, JD Owens
Proceedings of the ACM Workshop on High Performance Graph Processing, 1-8, 2016
432016
mvn2vec: Preservation and collaboration in multi-view network embedding
Y Shi, F Han, X He, X He, C Yang, J Luo, J Han
arXiv preprint arXiv:1801.06597, 2018
402018
Local coordinate concept factorization for image representation
H Liu, Z Yang, C Yang, Z Wu, X Li
IEEE Transactions on Neural Networks and Learning Systems 25 (6), 1071-1082, 2013
382013
Conditional Structure Generation through Graph Variational Generative Adversarial Nets.
C Yang, P Zhuang, W Shi, A Luu, P Li
NeurIPS, 1338-1349, 2019
342019
Meta-graph based hin spectral embedding: Methods, analyses, and insights
C Yang, Y Feng, P Li, Y Shi, J Han
2018 IEEE International Conference on Data Mining (ICDM), 657-666, 2018
282018
Fast sparse matrix and sparse vector multiplication algorithm on the GPU
C Yang, Y Wang, JD Owens
2015 IEEE International Parallel and Distributed Processing Symposium …, 2015
262015
Bi-directional joint inference for user links and attributes on large social graphs
C Yang, L Zhong, LJ Li, L Jie
Proceedings of the 26th International Conference on World Wide Web Companion …, 2017
242017
Node, motif and subgraph: Leveraging network functional blocks through structural convolution
C Yang, M Liu, VW Zheng, J Han
2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018
212018
When Do GNNs Work: Understanding and Improving Neighborhood Aggregation.
Y Xie, S Li, C Yang, RCW Wong, J Han
IJCAI, 1303-1309, 2020
192020
Similarity modeling on heterogeneous networks via automatic path discovery
C Yang, M Liu, F He, X Zhang, J Peng, J Han
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
172018
Did you enjoy the ride? understanding passenger experience via heterogeneous network embedding
C Yang, C Zhang, X Chen, J Ye, J Han
2018 IEEE 34th International Conference on Data Engineering (ICDE), 1392-1403, 2018
172018
Relation learning on social networks with multi-modal graph edge variational autoencoders
C Yang, J Zhang, H Wang, S Li, M Kim, M Walker, Y Xiao, J Han
Proceedings of the 13th International Conference on Web Search and Data …, 2020
152020
Multisage: Empowering gcn with contextualized multi-embeddings on web-scale multipartite networks
C Yang, A Pal, A Zhai, N Pancha, J Han, C Rosenberg, J Leskovec
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
142020
Graph clustering with embedding propagation
C Yang, L Liu, M Liu, Z Wang, C Zhang, J Han
2020 IEEE International Conference on Big Data (Big Data), 858-867, 2020
13*2020
Geodesic distance function learning via heat flow on vector fields
B Lin, C Yang, X He, J Ye
International Conference on Machine Learning, 145-153, 2014
122014
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Articles 1–20