| Glsearch: Maximum common subgraph detection via learning to search Y Bai, D Xu, Y Sun, W Wang International Conference on Machine Learning, 588-598, 2021 | 59* | 2021 |
| Fogros 2: An adaptive and extensible platform for cloud and fog robotics using ros 2 J Ichnowski, K Chen, K Dharmarajan, S Adebola, M Danielczuk, ... Proceedings IEEE International Conference on Robotics and Automation, 2023 | 29 | 2023 |
| FogROS2: An adaptive platform for cloud and fog robotics using ros 2 J Ichnowski, K Chen, K Dharmarajan, S Adebola, M Danielczuk, ... 2023 IEEE International Conference on Robotics and Automation (ICRA), 5493-5500, 2023 | 23 | 2023 |
| Neural maximum common subgraph detection with guided subgraph extraction Y Bai, D Xu, K Gu, X Wu, A Marinovic, C Ro, Y Sun, W Wang | 7 | 2019 |
| A survey on self-supervised learning for non-sequential tabular data WY Wang, WW Du, D Xu, W Wang, WC Peng Machine Learning 114 (1), 16, 2025 | 6 | 2025 |
| Mixture of In-Context Prompters for Tabular PFNs D Xu, O Cirit, R Asadi, Y Sun, W Wang arXiv preprint arXiv:2405.16156, 2024 | 3 | 2024 |
| Introducing semantics into speech encoders D Xu, S Dong, C Wang, S Kim, Z Lin, A Shrivastava, SW Li, LH Tseng, ... arXiv preprint arXiv:2211.08402, 2022 | 3 | 2022 |
| Does Few-Shot Learning Help LLM Performance in Code Synthesis? D Xu, T Xie, B Xia, H Li, Y Bai, Y Sun, W Wang arXiv preprint arXiv:2412.02906, 2024 | | 2024 |
| Inverse designing metamaterials with programmable nonlinear functional responses in graph space M Maurizi, D Xu, YT Wang, D Yao, D Hahn, M Oudich, A Satpati, ... arXiv preprint arXiv:2408.06300, 2024 | | 2024 |
| Subgraph Matching via Query-Conditioned Subgraph Matching Neural Networks and Bi-Level Tree Search. Y Bai, D Xu, Y Sun, W Wang CoRR, 2022 | | 2022 |
| Learning Invariances via Neural Network Pruning DQ Xu, Y Sun, W Wang | | |
