| Openloris-object: A robotic vision dataset and benchmark for lifelong deep learning Q She, F Feng, X Hao, Q Yang, C Lan, V Lomonaco, X Shi, Z Wang, ... 2020 IEEE international conference on robotics and automation (ICRA), 4767-4773, 2020 | 102* | 2020 |
| AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning B Huang, F Feng, C Lu, S Magliacane, K Zhang International Conference on Learning Representations (ICLR), 2022, 2021 | 61 | 2021 |
| Factored Adaptation for Non-Stationary Reinforcement Learning F Feng, B Huang, K Zhang, S Magliacane Neural Information Processing Systems (NeurIPS), 2022, 2022 | 35 | 2022 |
| IROS 2019 lifelong robotic vision: Object recognition challenge [competitions] H Bae, E Brophy, RHM Chan, B Chen, F Feng, G Graffieti, V Goel, X Hao, ... IEEE Robotics & Automation Magazine 27 (2), 11-16, 2020 | 14* | 2020 |
| Power law in deep neural networks: Sparse network generation and continual learning with preferential attachment F Feng, L Hou, Q She, RHM Chan, JT Kwok IEEE Transactions on Neural Networks and Learning Systems, 2022 | 11* | 2022 |
| Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning F Feng, S Magliacane Neural Information Processing Systems (NeurIPS), 2023, 2023 | 7 | 2023 |
| A benchmark and empirical analysis for replay strategies in continual learning Q Yang, F Feng, RHM Chan International Workshop on Continual Semi-Supervised Learning, 75-90, 2021 | 5 | 2021 |
| Towards Lifelong Object Recognition: A Dataset and Benchmark C Lan*, F Feng*, Q Liu, Q She, Q Yang, X Hao, I Mashkin, KS Kei, ... Pattern Recognition, 108819, 2022 | 4 | 2022 |
| Community Channel-Net: Efficient channel-wise interactions via community graph topology F Feng, Q Liu, Z Peng, R Zhang, RHM Chan Pattern Recognition 141, 109536, 2023 | 1 | 2023 |
| Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations Y Yang, B Huang, F Feng, X Wang, S Tu, L Xu arXiv preprint arXiv:2407.20651, 2024 | | 2024 |
| Towards Empowerment Gain through Causal Structure Learning in Model-Based RL H Cao, F Feng, M Fang, S Dong, J Huo, Y Gao ICML 2024 Workshop: Foundations of Reinforcement Learning and Control …, 2024 | | 2024 |
| Structural Causal Model for Molecular Dynamics Simulation Q Liu, Y Du, F Feng, Q Ye, J Fu NeurIPS 2022 Workshop AI4Science, 2022 | | 2022 |
Qi She (佘琪)Bytedance在 princeton.edu 的电子邮件经过验证
