| A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition. H Qian, SJ Pan, B Da, C Miao IJCAI 2019, 5614-5620, 2019 | 56 | 2019 |
| A novel distribution-embedded neural network for sensor-based activity recognition H Qian, SJ Pan, B Da, C Miao. Proceedings of the 28th International Joint Conference on Artificial …, 2019 | 56 | 2019 |
| Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition H Qian, SJ Pan, C Miao Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11921 …, 2021 | 50 | 2021 |
| What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks? H Qian, T Tian, C Miao https://arxiv.org/abs/2202.05998, 2022 | 35 | 2022 |
| Dualcf: Efficient model extraction attack from counterfactual explanations Y Wang, H Qian, C Miao Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 21 | 2022 |
| Sensor-based activity recognition via learning from distributions H Qian Nanyang Technological University, 2019 | 21 | 2019 |
| Sensor-based activity recognition via learning from distributions H Qian, SJ Pan, C Miao AAAI, 2018 | 21 | 2018 |
| MHCCL: masked hierarchical cluster-wise contrastive learning for multivariate time series Q Meng, H Qian, Y Liu, L Cui, Y Xu, Z Shen Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9153-9161, 2023 | 18 | 2023 |
| Distribution-based Semi-Supervised Learning for Activity Recognition H Qian, SJ Pan, C Miao AAAI, 2019 | 18 | 2019 |
| Weakly-supervised sensor-based activity segmentation and recognition via learning from distributions H Qian, SJ Pan, C Miao Artificial Intelligence 292, 103429, 2021 | 16 | 2021 |
| From Psychological Curiosity to Artificial Curiosity: Curiosity-Driven Learning in Artificial Intelligence Tasks C Sun, H Qian, C Miao https://arxiv.org/abs/2201.08300, 2022 | 12 | 2022 |
| CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning C Sun, H Qian, C Miao https://arxiv.org/abs/2205.00943, 2022 | 11 | 2022 |
| Unsupervised representation learning for time series: A review Q Meng, H Qian, Y Liu, Y Xu, Z Shen, L Cui arXiv preprint arXiv:2308.01578, 2023 | 9 | 2023 |
| Missing value imputation for diabetes prediction F Luo, H Qian, D Wang, X Guo, Y Sun, ES Lee, HH Teong, RTR Lai, ... 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 7 | 2022 |
| Flexible and robust counterfactual explanations with minimal satisfiable perturbations Y Wang, H Qian, Y Liu, W Guo, C Miao Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 1 | 2023 |
| Curiosity-Driven Unsupervised Data Collection for Offline Reinforcement Learning C Sun, H Qian, C Miao | 1 | 2022 |
| Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition. AAAI (2021) H Qian, SJ Pan, C Miao | 1 | 2021 |
| CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning C Sun, H Qian, C Miao Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 15145 …, 2024 | | 2024 |
| A novel distribution-embedded neural network for sensor-based activity recognition H Qian, SJ Pan, B Da, C Miao IJCAI, 2019 | | 2019 |
| Augmentation Blending with Clustering-Aware Outlier Factor: An Outlier-Driven Perspective for Enhanced Contrastive Learning Q Meng, H Qian, Y Xu, L Cui Available at SSRN 4770304, 0 | | |
Chunyan MiaoNanyang Technological UniversityVerified email at ntu.edu.sg
