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Yifei ZHANG (张逸飞)
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Year
A better autoencoder for image: Convolutional autoencoder
Y Zhang
ICONIP17-DCEC. Available online: http://users. cecs. anu. edu. au/Tom …, 2018
952018
# debatenight: The role and influence of socialbots on twitter during the 1st 2016 us presidential debate
MA Rizoiu, T Graham, R Zhang, Y Zhang, R Ackland, L Xie
Proceedings of the international AAAI conference on web and social media 12 (1), 2018
942018
Additively homomorphical encryption based deep neural network for asymmetrically collaborative machine learning
Y Zhang, H Zhu
IJCAI 20 Federated Learning Workshop; arXiv preprint arXiv:2007.06849, 2020
792020
COSTA: covariance-preserving feature augmentation for graph contrastive learning
Y Zhang, H Zhu, Z Song, P Koniusz, I King
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
702022
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond
Y Zhang, H Zhu, Z Song, P Koniusz, I King
International Conference on Artificial Intelligence (AAAI), 2023, arXiv …, 2023
462023
Graph-adaptive rectified linear unit for graph neural networks
Y Zhang, H Zhu, Z Meng, P Koniusz, I King
Proceedings of the ACM Web Conference 2022, https://arxiv.org/abs/2202.06281, 2022
292022
Towards an optimal asymmetric graph structure for robust semi-supervised node classification
Z Song, Y Zhang, I King
Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022
272022
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space
Y Chen, Y Fang, Y Zhang, I King
TheWebConf 2023, 2023
24*2023
Semi-supervised multi-label learning for graph-structured data
Z Song, Z Meng, Y Zhang, I King
Proceedings of the 30th ACM International Conference on Information …, 2021
232021
Doc2hash: Learning discrete latent variables for documents retrieval
Y Zhang, H Zhu
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
222019
WSFE: wasserstein sub-graph feature encoder for effective user segmentation in collaborative filtering
Y Chen, Y Zhang, M Yang, Z Song, C Ma, I King
Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023
172023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy
Y Zhang, D Zeng, J Luo, Z Xu, I King
https://arxiv.org/abs/2302.10637, 2023
162023
Discrete wasserstein autoencoders for document retrieval
Y Zhang, H Zhu
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
112020
Contrastive cross-scale graph knowledge synergy
Y Zhang, Y Chen, Z Song, I King
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
8*2023
Graph component contrastive learning for concept relatedness estimation
Y Ma, Z Song, X Hu, J Li, Y Zhang, I King
Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 13362 …, 2023
72023
An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching
Y Chen, Y Zhang, H Guo, R Tang, I King
AACL-IJCNLP, 2022
62022
Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning
Z Song, Y Zhang, I King
Advances in Neural Information Processing Systems 36, 2024
32024
No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning
Z Song, Y Zhang, I King
Advances in Neural Information Processing Systems 36, 2024
22024
Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective
Y Zhang, H Zhu, Y Chen, Z Song, P Koniusz, I King
Thirty-seventh Conference on Neural Information Processing Systems, 2023
22023
Alignment and Outer Shell Isotropy for Hyperbolic Graph Contrastive Learning
Y Zhang, H Zhu, J Liu, P Koniusz, I King
arXiv preprint arXiv:2310.18209, 2023
2023
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