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 | 16 | 2024 |
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 | 16 | 2015 |
Imitation learning from pixel-level demonstrations by hashreward XQ Cai, YX Ding, Y Jiang, ZH Zhou arXiv preprint arXiv:1909.03773, 2019 | 15* | 2019 |
Crowdsourcing with unsure option YX Ding, ZH Zhou Machine Learning 107, 749-766, 2018 | 15 | 2018 |
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 | 10 | 2022 |
Boosting-based reliable model reuse YX Ding, ZH Zhou Asian Conference on Machine Learning, 145-160, 2020 | 10 | 2020 |
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 | 9 | 2021 |
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 | 5 | 2014 |
Preference based adaptation for learning objectives YX Ding, ZH Zhou Advances in Neural Information Processing Systems 31, 2018 | 4 | 2018 |
Enabling synergistic full-body control in prompt-based co-speech motion generation B Chen, Y Li, YX Ding, T Shao, K Zhou Proceedings of the 32nd ACM International Conference on Multimedia, 6774-6783, 2024 | 2 | 2024 |
Reinforcement learning from bagged reward Y Tang, XQ Cai, YX Ding, Q Wu, G Liu, M Sugiyama ICML 2024 Workshop: Aligning Reinforcement Learning Experimentalists and …, 2024 | 2* | 2024 |
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 | 2 | 2016 |
Handling Varied Objectives by Online Decision Making L Ma, ZY Zhang, YX Ding, ZH Zhou Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 1 | 2024 |
QPoser: Quantized Explicit Pose Prior Modeling for Controllable Pose Generation Y Li, Y Ding, Z Ren, K Zhou arXiv preprint arXiv:2312.01104, 2023 | 1 | 2023 |
CPoser: An Optimization-after-Parsing Approach for Text-to-Pose Generation Using Large Language Models Y Li, B Chen, Z Ren, YX Ding, L Liu, T Shao, K Zhou ACM Transactions on Graphics (TOG) 43 (6), 1-13, 2024 | | 2024 |
Learning Objective Adaptation by Correlation-Based Model Reuse L Ma, YX Ding, P Zhao, ZH Zhou IEEE Transactions on Neural Networks and Learning Systems, 2024 | | 2024 |
Enhancing Visual Reasoning with Autonomous Imagination in Multimodal Large Language Models J Liu, Y Li, B Xiao, Y Jian, Z Qin, T Shao, YX Ding, K Zhou arXiv preprint arXiv:2411.18142, 2024 | | 2024 |
Beyond Simple Sum of Delayed Rewards: Non-Markovian Reward Modeling for Reinforcement Learning Y Tang, XQ Cai, JC Pang, Q Wu, YX Ding, M Sugiyama arXiv preprint arXiv:2410.20176, 2024 | | 2024 |
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 |
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 |