Clipood: Generalizing clip to out-of-distributions Y Shu, X Guo, J Wu, X Wang, J Wang, M Long International Conference on Machine Learning, 31716-31731, 2023 | 32 | 2023 |
On the Embedding Collapse when Scaling up Recommendation Models X Guo, J Pan, X Wang, B Chen, J Jiang, M Long arXiv preprint arXiv:2310.04400, 2023 | 4 | 2023 |
Gnn-based concentration prediction for random microfluidic mixers W Ji, X Guo, S Pan, TY Ho, U Schlichtmann, H Yao Proceedings of the 59th ACM/IEEE Design Automation Conference, 763-768, 2022 | 4 | 2022 |
Estimating heterogeneous treatment effects: mutual information bounds and learning algorithms X Guo, Y Zhang, J Wang, M Long International Conference on Machine Learning, 12108-12121, 2023 | 2 | 2023 |
HermEs: Interactive Spreadsheet Formula Prediction via Hierarchical Formulet Expansion W He, H Dong, Y Gao, Z Fan, X Guo, Z Hou, X Lv, R Jia, S Han, D Zhang Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 1 | 2023 |
Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting J Zhong, X Guo, J Dong, M Long arXiv preprint arXiv:2406.00773, 2024 | | 2024 |
CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding K Chen, X Guo, Y Zhang, J Wang, M Long arXiv preprint arXiv:2405.02384, 2024 | | 2024 |
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning X Wang, J Pan, X Guo, D Liu, J Jiang Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15644 …, 2024 | | 2024 |
GNN-based Concentration Prediction with Variable Input Flow Rates for Microfluidic Mixers W Ji, X Guo, S Pan, F Long, TY Ho, U Schlichtmann, H Yao IEEE Transactions on Biomedical Circuits and Systems, 2024 | | 2024 |