| Disentangled graph convolutional networks J Ma, P Cui, K Kuang, X Wang, W Zhu International Conference on Machine Learning (ICML 2019), 4212-4221, 2019 | 144 | 2019 |
| Learning disentangled representations for recommendation J Ma, C Zhou, P Cui, H Yang, W Zhu Advances in Neural Information Processing Systems (NeurIPS 2019) 32, 2019 | 136 | 2019 |
| Depthlgp: Learning embeddings of out-of-sample nodes in dynamic networks J Ma, P Cui, W Zhu Thirty-second AAAI conference on artificial intelligence, 2018 | 65 | 2018 |
| 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 | 63 | 2020 |
| M6: A chinese multimodal pretrainer J Lin, R Men, A Yang, C Zhou, M Ding, Y Zhang, P Wang, A Wang, ... arXiv preprint arXiv:2103.00823, 2021 | 52 | 2021 |
| Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems C Zhou, J Ma, J Zhang, J Zhou, H Yang Proceedings of the 27th ACM SIGKDD International Conference on Knowledge …, 2021 | 36 | 2021 |
| Hierarchical taxonomy aware network embedding J Ma, P Cui, X Wang, W Zhu Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 36 | 2018 |
| Autone: Hyperparameter optimization for massive network embedding K Tu, J Ma, P Cui, J Pei, W Zhu Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 34 | 2019 |
| Counterfactual prediction for bundle treatment H Zou, P Cui, B Li, Z Shen, J Ma, H Yang, Y He Advances in Neural Information Processing Systems 33, 19705-19715, 2020 | 23 | 2020 |
| 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 arXiv preprint arXiv:2202.03052, 2022 | 19 | 2022 |
| M6-UFC: Unifying Multi-Modal Controls for Conditional Image Synthesis via Non-Autoregressive Generative Transformers Z Zhang, J Ma, C Zhou, R Men, Z Li, M Ding, J Tang, J Zhou, H Yang Advances in Neural Information Processing Systems (NeurIPS 2021), 2021 | 15* | 2021 |
| Intention-aware sequential recommendation with structured intent transition H Li, X Wang, Z Zhang, J Ma, P Cui, W Zhu IEEE Transactions on Knowledge and Data Engineering, 2021 | 10 | 2021 |
| Variational Autoencoders for Highly Multivariate Spatial Point Processes Intensities B Yuan, X Wang, J Ma, C Zhou, AL Bertozzi, H Yang Eighth International Conference on Learning Representations (ICLR 2020), 2020 | 10 | 2020 |
| Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI J Yao, S Zhang, Y Yao, F Wang, J Ma, J Zhang, Y Chu, L Ji, K Jia, T Shen, ... IEEE Transactions on Knowledge and Data Engineering, 2022 | 5 | 2022 |
| Learning to Rehearse in Long Sequence Memorization Z Zhang, C Zhou, J Ma, Z Lin, J Zhou, H Yang, Z Zhao The Thirty-eighth International Conference on Machine Learning (ICML 2021), 2021 | 5 | 2021 |
| Learning Stable Graphs from Multiple Environments with Selection Bias Y He, P Cui, J Ma, H Zou, X Wang, H Yang, PS Yu Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 3 | 2020 |
| Inductive Granger Causal Modeling for Multivariate Time Series Y Chu, X Wang, J Ma, K Jia, J Zhou, H Yang 2020 IEEE International Conference on Data Mining (ICDM), 972-977, 2020 | 1 | 2020 |
| M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems Z Cui, J Ma, C Zhou, J Zhou, H Yang arXiv preprint arXiv:2205.08084, 2022 | | 2022 |
| Disentangled Representation Learning for Recommendation X Wang, H Chen, Y Zhou, J Ma, W Zhu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | | 2022 |
Hongxia YangAlibaba Group, Yahoo!, IBM WatsonVerified email at alibaba-inc.com
