| Plan, activity, and intent recognition: Theory and practice G Sukthankar, C Geib, HH Bui, D Pynadath, RP Goldman Newnes, 2014 | 215 | 2014 |
| Plan explicability and predictability for robot task planning Y Zhang, S Sreedharan, A Kulkarni, T Chakraborti, HH Zhuo, ... 2017 IEEE international conference on robotics and automation (ICRA), 1313-1320, 2017 | 126 | 2017 |
| Learning complex action models with quantifiers and logical implications HH Zhuo, Q Yang, DH Hu, L Li Artificial Intelligence 174 (18), 1540-1569, 2010 | 111 | 2010 |
| Action-model acquisition from noisy plan traces HH Zhuo, S Kambhampati Twenty-Third International Joint Conference on Artificial Intelligence, 2013 | 72 | 2013 |
| Refining incomplete planning domain models through plan traces HH Zhuo, T Nguyen, S Kambhampati Twenty-third international joint conference on artificial intelligence, 2013 | 58 | 2013 |
| Action-model acquisition for planning via transfer learning HH Zhuo, Q Yang Artificial intelligence 212, 80-103, 2014 | 57 | 2014 |
| Learning HTN method preconditions and action models from partial observations HH Zhuo, DH Hu, C Hogg, Q Yang, H Munoz-Avila Twenty-First International Joint Conference on Artificial Intelligence, 2009 | 56 | 2009 |
| Learning hierarchical task network domains from partially observed plan traces HH Zhuo, H Muñoz-Avila, Q Yang Artificial intelligence 212, 134-157, 2014 | 55 | 2014 |
| Federated reinforcement learning HH Zhuo, W Feng, Q Xu, Q Yang, Y Lin | 48 | 2019 |
| Action-model based multi-agent plan recognition H Zhuo, Q Yang, S Kambhampati Advances in Neural Information Processing Systems 25 1, 368, 2012 | 42 | 2012 |
| Extracting action sequences from texts based on deep reinforcement learning W Feng, HH Zhuo, S Kambhampati IJCAI, 2018 | 35 | 2018 |
| Multi-agent plan recognition with partial team traces and plan libraries HH Zhuo, L Li Twenty-Second International Joint Conference on Artificial Intelligence, 2011 | 31 | 2011 |
| Combining deep learning and topic modeling for review understanding in context-aware recommendation M Jin, X Luo, H Zhu, HH Zhuo Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 29 | 2018 |
| Crowdsourced action-model acquisition for planning H Zhuo Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 28 | 2015 |
| Abnormal activity detection using pyroelectric infrared sensors X Luo, H Tan, Q Guan, T Liu, HH Zhuo, B Shen Sensors 16 (6), 822, 2016 | 27 | 2016 |
| Transferring knowledge from another domain for learning action models H Zhuo, Q Yang, D Hu, L Li PRICAI 2008: Trends in Artificial Intelligence, 1110-1115, 2008 | 27 | 2008 |
| Multi-matching network for multiple choice reading comprehension M Tang, J Cai, HH Zhuo Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7088-7095, 2019 | 26 | 2019 |
| Plan explicability for robot task planning Y Zhang, S Sreedharan, A Kulkarni, T Chakraborti, HH Zhuo, ... Proceedings of the RSS Workshop on Planning for Human-Robot Interaction …, 2016 | 25 | 2016 |
| Model-lite planning: Case-based vs. model-based approaches HH Zhuo, S Kambhampati Artificial Intelligence 246, 1-21, 2017 | 24 | 2017 |
| Discovering underlying plans based on distributed representations of actions X Tian, HH Zhuo, S Kambhampati arXiv preprint arXiv:1511.05662, 2015 | 22 | 2015 |
Subbarao KambhampatiArizona State UniversityVerifierad e-postadress på asu.edu
