| CSPNet: A new backbone that can enhance learning capability of CNN CY Wang, HYM Liao, YH Wu, PY Chen, JW Hsieh, IH Yeh Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 4002 | 2020 |
| Imitation learning from imperfect demonstration YH Wu, N Charoenphakdee, H Bao, V Tangkaratt, M Sugiyama International Conference on Machine Learning, 6818-6827, 2019 | 165 | 2019 |
| Open x-embodiment: Robotic learning datasets and rt-x models A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ... arXiv preprint arXiv:2310.08864, 2023 | 145 | 2023 |
| Dexmv: Imitation learning for dexterous manipulation from human videos Y Qin, YH Wu, S Liu, H Jiang, R Yang, Y Fu, X Wang European Conference on Computer Vision, 570-587, 2022 | 119 | 2022 |
| A memory-network based solution for multivariate time-series forecasting YY Chang, FY Sun, YH Wu, SD Lin arXiv preprint arXiv:1809.02105, 2018 | 96 | 2018 |
| A low-cost ethics shaping approach for designing reinforcement learning agents YH Wu, SD Lin Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 78 | 2018 |
| Learning generalizable dexterous manipulation from human grasp affordance YH Wu, J Wang, X Wang Conference on Robot Learning, 618-629, 2023 | 51 | 2023 |
| Gnfactor: Multi-task real robot learning with generalizable neural feature fields Y Ze, G Yan, YH Wu, A Macaluso, Y Ge, J Ye, N Hansen, LE Li, X Wang Conference on Robot Learning, 284-301, 2023 | 38 | 2023 |
| Elastic decision transformer YH Wu, X Wang, M Hamaya Advances in Neural Information Processing Systems 36, 2024 | 19 | 2024 |
| Designing non-greedy reinforcement learning agents with diminishing reward shaping FY Sun, YY Chang, YH Wu, SD Lin Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 297-302, 2018 | 14 | 2018 |
| Model imitation for model-based reinforcement learning YH Wu, TH Fan, PJ Ramadge, H Su arXiv preprint arXiv:1909.11821, 2019 | 13 | 2019 |
| ANS: adaptive network scaling for deep rectifier reinforcement learning models YH Wu, FY Sun, YY Chang, SD Lin arXiv preprint arXiv:1809.02112, 2018 | 5 | 2018 |
| Dnact: Diffusion guided multi-task 3d policy learning G Yan, YH Wu, X Wang arXiv preprint arXiv:2403.04115, 2024 | 4 | 2024 |
| A regulation enforcement solution for multi-agent reinforcement learning FY Sun, YY Chang, YH Wu, SD Lin arXiv preprint arXiv:1901.10059, 2019 | 4 | 2019 |
| An ensemble of ranking strategies for static rank prediction in a large heterogeneous graph S Chang, S Go, Y Wu, Y Lee, C Lai, S Yu, C Chen, H Chen, M Tsai, M Yeh, ... WSDM Cup, 2016 | 4 | 2016 |
| Time-Aware Weighted Page Rank for Paper Ranking in Academic Graphs CC Hsu, KH Chan, MH Feng, YH Wu, HY Chen, SH Yu, CW Chen, ... Proceedings of the 9th ACM International Conference on Web Search and Data …, 2016 | 2 | 2016 |
| Batch-augmented multi-agent reinforcement learning for efficient traffic signal optimization YH Wu, IH Yeh, D Hu, HYM Liao arXiv preprint arXiv:2005.09624, 2020 | 1 | 2020 |
Chien-Yao WangInstitute of Information Science, Academia SinicaVerified email at iis.sinica.edu.tw
