| Confidence-aware matrix factorization for recommender systems C Wang, Q Liu, R Wu, E Chen, C Liu, X Huang, Z Huang Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 52 | 2018 |
| Finding potential lenders in P2P lending: A hybrid random walk approach H Zhang, H Zhao, Q Liu, T Xu, E Chen, X Huang Information Sciences 432, 376-391, 2018 | 46 | 2018 |
| Incremental Matrix Factorization: A Linear Feature Transformation Perspective. X Huang, L Wu, E Chen, H Zhu, Q Liu, Y Wang, BTI Center IJCAI, 1901-1908, 2017 | 22 | 2017 |
| Reverse Diffusion Monte Carlo X Huang, H Dong, HAO Yifan, Y Ma, T Zhang The Twelfth International Conference on Learning Representations, 2023 | 14* | 2023 |
| Enhancing network embedding with auxiliary information: An explicit matrix factorization perspective J Guo, L Xu, X Huang, E Chen Database Systems for Advanced Applications: 23rd International Conference …, 2018 | 7 | 2018 |
| Faster sampling without isoperimetry via diffusion-based monte carlo X Huang, D Zou, H Dong, YA Ma, T Zhang The Thirty Seventh Annual Conference on Learning Theory, 2438-2493, 2024 | 5 | 2024 |
| Span: A stochastic projected approximate newton method X Huang, X Liang, Z Liu, L Li, Y Yu, Y Li Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 1520-1527, 2020 | 4 | 2020 |
| Mean-field analysis of two-layer neural networks: Global optimality with linear convergence rates J Zhang, X Huang, J Yu arXiv preprint arXiv:2205.09860, 2022 | 2 | 2022 |
| ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization X Huang, R Xu, H Zhou, Z Wang, Z Liu, L Li Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 7857-7864, 2021 | 1 | 2021 |
| Adaptive Gradient Methods Can Be Provably Faster than SGD after Finite Epochs X Huang, H Zhou, R Xu, Z Wang, L Li arXiv preprint arXiv:2006.07037, 2020 | 1 | 2020 |
| Faster Sampling via Stochastic Gradient Proximal Sampler X Huang, D Zou, YA Ma, H Dong, T Zhang The Forty-first International Conference on Machine Learning, 2024 | | 2024 |
| Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference X Huang, D Zou, H Dong, Y Zhang, YA Ma, T Zhang arXiv preprint arXiv:2405.16387, 2024 | | 2024 |
| An Improved Analysis of Langevin Algorithms with Prior Diffusion for Non-Log-Concave Sampling X Huang, H Dong, D Zou, T Zhang arXiv preprint arXiv:2403.06183, 2024 | | 2024 |
| Generalized Neural Graph Embedding with Matrix Factorization. J Guo, L Xu, X Huang, E Chen CoRR, 2017 | | 2017 |
Hanze DongSalesforce Research在 salesforce.com 的电子邮件经过验证
