Informer: Beyond efficient transformer for long sequence time-series forecasting H Zhou, S Zhang, J Peng, S Zhang, J Li, H Xiong, W Zhang Proceedings of the AAAI conference on artificial intelligence 35 (12), 11106 …, 2021 | 4753 | 2021 |
The-x: Privacy-preserving transformer inference with homomorphic encryption T Chen, H Bao, S Huang, L Dong, B Jiao, D Jiang, H Zhou, J Li, F Wei arXiv preprint arXiv:2206.00216, 2022 | 95 | 2022 |
MTTrans: Cross-domain object detection with mean teacher transformer J Yu, J Liu, X Wei, H Zhou, Y Nakata, D Gudovskiy, T Okuno, J Li, ... European Conference on Computer Vision, 629-645, 2022 | 60 | 2022 |
Expanding the prediction capacity in long sequence time-series forecasting H Zhou, J Li, S Zhang, S Zhang, M Yan, H Xiong Artificial Intelligence 318, 103886, 2023 | 39 | 2023 |
Task-specific expert pruning for sparse mixture-of-experts T Chen, S Huang, Y Xie, B Jiao, D Jiang, H Zhou, J Li, F Wei arXiv preprint arXiv:2206.00277, 2022 | 33 | 2022 |
Differentially-private federated neural architecture search I Singh, H Zhou, K Yang, M Ding, B Lin, P Xie arXiv preprint arXiv:2006.10559, 2020 | 32 | 2020 |
Stacked kernel network S Zhang, J Li, P Xie, Y Zhang, M Shao, H Zhou, M Yan arXiv preprint arXiv:1711.09219, 2017 | 21 | 2017 |
Colorectal cancer lymph node metastasis prediction with weakly supervised transformer-based multi-instance learning L Tan, H Li, J Yu, H Zhou, Z Wang, Z Niu, J Li, Z Li Medical & Biological Engineering & Computing 61 (6), 1565-1580, 2023 | 19 | 2023 |
Learning music sequence representation from text supervision T Chen, Y Xie, S Zhang, S Huang, H Zhou, J Li ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 16 | 2022 |
CLDG: Contrastive learning on dynamic graphs Y Xu, B Shi, T Ma, B Dong, H Zhou, Q Zheng 2023 IEEE 39th International Conference on Data Engineering (ICDE), 696-707, 2023 | 15 | 2023 |
Osprey: A fast and accurate patch presence test framework for binaries P Sun, Q Yan, H Zhou, J Li Computer Communications 173, 95-106, 2021 | 13 | 2021 |
Autost: Towards the universal modeling of spatio-temporal sequences J Li, S Zhang, H Xiong, H Zhou Advances in Neural Information Processing Systems 35, 20498-20510, 2022 | 10 | 2022 |
Triplet attention: Rethinking the similarity in transformers H Zhou, J Li, J Peng, S Zhang, S Zhang Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 10 | 2021 |
A time-sensitive hybrid learning model for patient subgrouping Y Zhang, H Zhou, J Li, W Sun, Y Chen 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 10 | 2018 |
Improving the Generalization Performance of Multi-class SVM via Angular Regularization. J Li, H Zhou, P Xie, Y Zhang IJCAI, 2131-2137, 2017 | 10 | 2017 |
Merits: medication recommendation for chronic disease with irregular time-series S Zhang, J Li, H Zhou, Q Zhu, S Zhang, D Wang 2021 IEEE international conference on data mining (ICDM), 1481-1486, 2021 | 9 | 2021 |
Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning T Zhu, Y Qiu, H Zhou, J Li Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 17202 …, 2024 | 6 | 2024 |
Towards Long-delayed Sparsity: Learning a Better Transformer through Reward Redistribution. T Zhu, Y Qiu, H Zhou, J Li IJCAI, 4693-4701, 2023 | 6 | 2023 |
Path Spuriousness-aware Reinforcement Learning for Multi-Hop Knowledge Graph Reasoning C Jiang, T Zhu, H Zhou, C Liu, T Deng, C Hu, J Li Proceedings of the 17th Conference of the European Chapter of the …, 2023 | 6 | 2023 |
MtCut: A Multi-Task Framework for Ranked List Truncation D Wang, J Li, T Zhu, H Zhou, Q Zhu, Y Wen, H Piao Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 6 | 2022 |