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Hongxia Yang
Hongxia Yang
Alibaba Group, Yahoo!, IBM Watson, IEEE & CCF Senior Member
Verified email at alibaba-inc.com - Homepage
Title
Cited by
Cited by
Year
GCC: Graph contrastive coding for graph neural network pre-training
J Qiu, Q Chen, Y Dong, J Zhang, H Yang, M Ding, K Wang, J Tang
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
7572020
OFA: Unifying architectures, tasks, and modalities through a simple sequence-to-sequence learning framework
P Wang, A Yang, R Men, J Lin, S Bai, Z Li, J Ma, C Zhou, J Zhou, H Yang
ICML, 2022, 2022
7092022
Cogview: Mastering text-to-image generation via transformers
M Ding, Z Yang, W Hong, W Zheng, C Zhou, D Yin, J Lin, X Zou, Z Shao, ...
Advances in Neural Information Processing Systems 34, 19822-19835, 2021
4942021
Representation learning for attributed multiplex heterogeneous network
Y Cen, X Zou, J Zhang, H Yang, J Zhou, J Tang
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
4222019
AliGraph: A comprehensive graph neural network platform
R Zhu, K Zhao, H Yang, W Lin, C Zhou, B Ai, Y Li, J Zhou
45th International Conference on Very Large Data Bases (VLDB), 2019
356*2019
Learning disentangled representations for recommendation
J Ma, C Zhou, P Cui, H Yang, W Zhu
Neural Information Processing Systems (NeurIPS), 2019., 2019
2662019
Cognitive graph for multi-hop reading comprehension at scale
M Ding, C Zhou, Q Chen, H Yang, J Tang
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
2632019
ANRL: attributed network representation learning via deep neural networks.
Z Zhang, H Yang, J Bu, S Zhou, P Yu, J Zhang, M Ester, C Wang
Ijcai 18, 3155-3161, 2018
2482018
Graphmae: Self-supervised masked graph autoencoders
Z Hou, X Liu, Y Cen, Y Dong, H Yang, C Wang, J Tang
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
2292022
Controllable Multi-Interest Framework for Recommendation
Y Cen, J Zhang, X Zou, C Zhou, H Yang, J Tang
26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020
2142020
M6: A chinese multimodal pretrainer
J Lin, R Men, A Yang, C Zhou, M Ding, Y Zhang, P Wang, A Wang, ...
KDD 2021, 2021
210*2021
Towards Knowledge-Based Recommender Dialog System
JT Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
204*2019
Disentangled self-supervision in sequential recommenders
J Ma, C Zhou, H Yang, P Cui, X Wang, W Zhu
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
1722020
Understanding Negative Sampling in Graph Representation Learning
Z Yang, M Ding, C Zhou, H Yang, J Zhou, J Tang
26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020
1592020
Cogltx: Applying bert to long texts
M Ding, C Zhou, H Yang, J Tang
Advances in Neural Information Processing Systems 33, 12792-12804, 2020
1252020
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems
C Zhou, J Ma, J Zhang, J Zhou, H Yang
KDD 2021, 2020
1202020
Sparse-interest network for sequential recommendation
Q Tan, J Zhang, J Yao, N Liu, J Zhou, H Yang, X Hu
Proceedings of the 14th ACM international conference on web search and data …, 2021
1082021
Sequential scenario-specific meta learner for online recommendation
Z Du, X Wang, H Yang, J Zhou, J Tang
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
1072019
Dependent hierarchical beta process for image interpolation and denoising
M Zhou, H Yang, G Sapiro, D Dunson, L Carin
Proceedings of the Fourteenth International Conference on Artificial …, 2011
922011
Is a single vector enough? exploring node polysemy for network embedding
N Liu, Q Tan, Y Li, H Yang, J Zhou, X Hu
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
892019
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Articles 1–20