Carl J. Yang
Carl J. Yang
Assistant Professor of Computer Science at Emory University
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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
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
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
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
Conditional structure generation through graph variational generative adversarial nets
C Yang, P Zhuang, W Shi, A Luu, P Li
Advances in Neural Information Processing Systems 32, 2019
Multi-GPU graph analytics
Y Pan, Y Wang, Y Wu, C Yang, JD Owens
2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2017
Fedgraphnn: A federated learning system and benchmark for graph neural networks
C He, K Balasubramanian, E Ceyani, C Yang, H Xie, L Sun, L He, L Yang, ...
arXiv preprint arXiv:2104.07145, 2021
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
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
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
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
Performance characterization of high-level programming models for GPU graph analytics
Y Wu, Y Wang, Y Pan, C Yang, JD Owens
2015 IEEE International Symposium on Workload Characterization, 66-75, 2015
Federated graph classification over non-iid graphs
H Xie, J Ma, L Xiong, C Yang
Advances in Neural Information Processing Systems 34, 18839-18852, 2021
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
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
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
When do gnns work: Understanding and improving neighborhood aggregation
Y Xie, S Li, C Yang, CW Wong, J Han
Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020
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
Subgraph federated learning with missing neighbor generation
K Zhang, C Yang, X Li, L Sun, SM Yiu
Advances in Neural Information Processing Systems 34, 6671-6682, 2021
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
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