Hankz Hankui Zhuo
Hankz Hankui Zhuo
Faculty@School of Data and Computer Science, Sun Yat-sen University
Verifierad e-postadress på mail.sysu.edu.cn - Startsida
Titel
Citeras av
Citeras av
År
Plan, activity, and intent recognition: Theory and practice
G Sukthankar, C Geib, HH Bui, D Pynadath, RP Goldman
Newnes, 2014
1872014
Learning complex action models with quantifiers and logical implications
HH Zhuo, Q Yang, DH Hu, L Li
Artificial Intelligence 174 (18), 1540-1569, 2010
1032010
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
912017
Action-model acquisition from noisy plan traces
HH Zhuo, S Kambhampati
Twenty-Third International Joint Conference on Artificial Intelligence, 2013
602013
Refining Incomplete Planning Domain Models Through Plan Traces.
HH Zhuo, TA Nguyen, S Kambhampati
IJCAI, 2451-2458, 2013
552013
Learning HTN Method Preconditions and Action Models from Partial Observations.
HH Zhuo, DH Hu, C Hogg, Q Yang, H Munoz-Avila
IJCAI, 1804-1810, 2009
522009
Action-model acquisition for planning via transfer learning
HH Zhuo, Q Yang
Artificial intelligence 212, 80-103, 2014
492014
Learning hierarchical task network domains from partially observed plan traces
HH Zhuo, H Muñoz-Avila, Q Yang
Artificial intelligence 212, 134-157, 2014
442014
Action-model based multi-agent plan recognition
H Zhuo, Q Yang, S Kambhampati
Advances in Neural Information Processing Systems 25, 368-376, 2012
402012
Multi-agent plan recognition with partial team traces and plan libraries
HH Zhuo, L Li
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
312011
Crowdsourced action-model acquisition for planning
H Zhuo
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
262015
Federated reinforcement learning
HH Zhuo, W Feng, Q Xu, Q Yang, Y Lin
arXiv preprint arXiv:1901.08277, 2019
252019
Extracting action sequences from texts based on deep reinforcement learning
W Feng, HH Zhuo, S Kambhampati
IJCAI, 2018
252018
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
222016
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
222008
Abnormal activity detection using pyroelectric infrared sensors
X Luo, H Tan, Q Guan, T Liu, HH Zhuo, B Shen
Sensors 16 (6), 822, 2016
212016
Discovering underlying plans based on distributed representations of actions
X Tian, HH Zhuo, S Kambhampati
arXiv preprint arXiv:1511.05662, 2015
212015
Model-Lite Case-Based Planning
HH Zhuo, T Nguyen, S Kambhampati
AAAI-13, 1077-1083, 2013
212013
Ltsg: Latent topical skip-gram for mutually learning topic model and vector representations
J Law, HH Zhuo, J He, E Rong
arXiv preprint arXiv:1702.07117, 2017
192017
Multi-matching network for multiple choice reading comprehension
M Tang, J Cai, HH Zhuo
Proceedings of the AAAI Conference on Artificial Intelligence 33, 7088-7095, 2019
182019
Systemet kan inte utföra åtgärden just nu. Försök igen senare.
Artiklar 1–20