Παρακολούθηση
Yao-Xiang Ding
Yao-Xiang Ding
Assistant Professor, Zhejiang University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα zju.edu.cn - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Learning push recovery for a bipedal humanoid robot with dynamical movement primitives
D Luo, X Han, Y Ding, Y Ma, Z Liu, X Wu
2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids …, 2015
162015
Imitation learning from pixel-level demonstrations by hashreward
XQ Cai, YX Ding, Y Jiang, ZH Zhou
arXiv preprint arXiv:1909.03773, 2019
11*2019
Crowdsourcing with unsure option
YX Ding, ZH Zhou
Machine Learning 107, 749-766, 2018
112018
Boosting-based reliable model reuse
YX Ding, ZH Zhou
Asian Conference on Machine Learning, 145-160, 2020
92020
Pre-trained model reusability evaluation for small-data transfer learning
YX Ding, XZ Wu, K Zhou, ZH Zhou
Advances in Neural Information Processing Systems 35, 37389-37400, 2022
82022
Model spider: Learning to rank pre-trained models efficiently
YK Zhang, TJ Huang, YX Ding, DC Zhan, HJ Ye
Advances in Neural Information Processing Systems 36, 2024
72024
Seeing differently, acting similarly: Heterogeneously observable imitation learning
XQ Cai, YX Ding, ZX Chen, Y Jiang, M Sugiyama, ZH Zhou
arXiv preprint arXiv:2106.09256, 2021
5*2021
Preference based adaptation for learning objectives
YX Ding, ZH Zhou
Advances in Neural Information Processing Systems 31, 2018
52018
A multi-stage approach for efficiently learning humanoid robot stand-up behavior
D Luo, Y Ding, Z Cao, X Wu
2014 IEEE International Conference on Mechatronics and Automation, 884-889, 2014
52014
Humanoid environmental perception with Gaussian process regression
D Luo, Y Ding, X Han, Y Ma, Y Deng, Z Liu, X Wu
International Journal of Advanced Robotic Systems 13 (6), 1729881416666783, 2016
22016
Learning Only When It Matters: Cost-Aware Long-Tailed Classification
YC He, YX Ding, HJ Ye, ZH Zhou
Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12411 …, 2024
2024
Reinforcement Learning from Bagged Reward: A Transformer-based Approach for Instance-Level Reward Redistribution
Y Tang, XQ Cai, YX Ding, Q Wu, G Liu, M Sugiyama
arXiv preprint arXiv:2402.03771, 2024
2024
Generating by Understanding: Neural Visual Generation with Logical Symbol Groundings
Y Peng, Y Jin, Z Luo, YX Ding, WZ Dai, Z Ren, K Zhou
arXiv preprint arXiv:2310.17451, 2023
2023
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