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 | 74 | 2021 |
A novel distribution-embedded neural network for sensor-based activity recognition H Qian, CM Pan, Sinno Jialin, Bingshui Da IJCAI 2019, 5614-5620, 2019 | 74 | 2019 |
A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition. H Qian, SJ Pan, B Da, C Miao IJCAI 2019, 5614-5620, 2019 | 71 | 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 | 71 | 2019 |
What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks? H Qian, T Tian, C Miao https://arxiv.org/abs/2202.05998, 2022 | 55 | 2022 |
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 | 44 | 2023 |
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 | 39 | 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 | 28 | 2023 |
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 | 24 | 2022 |
Sensor-based activity recognition via learning from distributions H Qian Nanyang Technological University, 2019 | 23 | 2019 |
Sensor-based activity recognition via learning from distributions H Qian, SJ Pan, C Miao AAAI, 2018 | 23 | 2018 |
Weakly-supervised sensor-based activity segmentation and recognition via learning from distributions H Qian, SJ Pan, C Miao Artificial Intelligence 292, 103429, 2021 | 22 | 2021 |
Distribution-based Semi-Supervised Learning for Activity Recognition H Qian, SJ Pan, C Miao AAAI, 2019 | 20 | 2019 |
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 | 16 | 2022 |
Cross-context backdoor attacks against graph prompt learning X Lyu, Y Han, W Wang, H Qian, I Tsang, X Zhang Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 12 | 2024 |
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 | 9 | 2022 |
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 | 4 | 2024 |
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 | 4 | 2023 |
Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition. AAAI (2021) H Qian, SJ Pan, C Miao | 1 | 2020 |
ChatGen: Automatic Text-to-Image Generation From FreeStyle Chatting C Jia, C Xia, Z Dang, W Wu, H Qian, M Luo arXiv preprint arXiv:2411.17176, 2024 | | 2024 |