| A vectorized relational graph convolutional network for multi-relational network alignment. R Ye, X Li, Y Fang, H Zang, M Wang IJCAI 2019, 4135-4141, 2019 | 234 | 2019 |
| Cha: Categorical hierarchy-based attention for next poi recommendation H Zang, D Han, X Li, Z Wan, M Wang ACM Transactions on Information Systems (TOIS) 40 (1), 1-22, 2021 | 39 | 2021 |
| Simsr: Simple distance-based state representations for deep reinforcement learning H Zang, X Li, M Wang Proceedings of the AAAI conference on artificial intelligence 36 (8), 8997-9005, 2022 | 19 | 2022 |
| Waveform: graph enhanced wavelet learning for long sequence forecasting of multivariate time series F Yang, X Li, M Wang, H Zang, W Pang, M Wang Proceedings of the AAAI conference on artificial intelligence 37 (9), 10754 …, 2023 | 12 | 2023 |
| Behavior prior representation learning for offline reinforcement learning H Zang, X Li, J Yu, C Liu, R Islam, RTD Combes, R Laroche The Eleventh International Conference on Learning Representations, {ICLR …, 2022 | 12 | 2022 |
| On improving knowledge graph facilitated simple question answering system X Li, H Zang, X Yu, H Wu, Z Zhang, J Liu, M Wang Neural Computing and Applications 33, 10587-10596, 2021 | 11 | 2021 |
| Discrete compositional representations as an abstraction for goal conditioned reinforcement learning R Islam, H Zang, A Goyal, AM Lamb, K Kawaguchi, X Li, R Laroche, ... Advances in Neural Information Processing Systems 35, 3885-3899, 2022 | 9 | 2022 |
| Universal value iteration networks: When spatially-invariant is not universal L Zhang, X Li, S Chen, H Zang, J Huang, M Wang Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6778-6785, 2020 | 9 | 2020 |
| Representation Learning in Deep RL via Discrete Information Bottleneck R Islam, H Zang, M Tomar, A Didolkar, MM Islam, SY Arnob, T Iqbal, X Li, ... Proceedings of The 26th International Conference on Artificial Intelligence …, 2022 | 8 | 2022 |
| Understanding and addressing the pitfalls of bisimulation-based representations in offline reinforcement learning H Zang, X Li, L Zhang, Y Liu, B Sun, R Islam, R Tachet des Combes, ... Advances in Neural Information Processing Systems 36, 28311-28340, 2023 | 6 | 2023 |
| Teac: Intergrating trust region and max entropy actor critic for continuous control H Zang, X Li, L Zhang, P Zhao, M Wang | 4 | 2020 |
| Learning latent dynamic robust representations for world models R Sun, H Zang, X Li, R Islam arXiv preprint arXiv:2405.06263, 2024 | 3 | 2024 |
| Principled Offline RL in the Presence of Rich Exogenous Information R Islam, M Tomar, A Lamb, Y Efroni, H Zang, AR Didolkar, D Misra, X Li, ... Proceedings of the 40th International Conference on Machine Learning, PMLR …, 2023 | 3 | 2023 |
| Learning Fused State Representations for Control from Multi-View Observations Z Wang, YH Li, X Li, H Zang, R Laroche, R Islam arXiv preprint arXiv:2502.01316, 2025 | | 2025 |
| Towards Control-Centric Representations in Reinforcement Learning from Images C Liu, H Zang, X Li, Y Heng, Y Wang, Z Fang, Y Wang, M Wang arXiv preprint arXiv:2310.16655, 2023 | | 2023 |
Xin LiBeijing Institute of TechnologyПотвърден имейл адрес: bit.edu.cn