| Efficient projection-free online methods with stochastic recursive gradient J Xie, Z Shen, C Zhang, B Wang, H Qian Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6446-6453, 2020 | 38* | 2020 |
| Jump: A joint predictor for user click and dwell time T Zhou, H Qian, Z Shen, C Zhang, C Wang, S Liu, W Ou Proceedings of the 27th International Joint Conference on Artificial …, 2018 | 25 | 2018 |
| Tensor Completion with Side Information: A Riemannian Manifold Approach. T Zhou, H Qian, Z Shen, C Zhang, C Xu IJCAI, 3539-3545, 2017 | 18 | 2017 |
| Decentralized gradient tracking for continuous dr-submodular maximization J Xie, C Zhang, Z Shen, C Mi, H Qian The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 15 | 2019 |
| Improving the modified Nyström method using spectral shifting S Wang, C Zhang, H Qian, Z Zhang Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 15 | 2014 |
| A federated learning framework for nonconvex-pl minimax problems J Xie, C Zhang, Y Zhang, Z Shen, H Qian arXiv preprint arXiv:2105.14216, 2021 | 9 | 2021 |
| Accelerated doubly stochastic gradient algorithm for large-scale empirical risk minimization Z Shen, H Qian, T Mu, C Zhang arXiv preprint arXiv:2304.11665, 2023 | 7 | 2023 |
| Robust graph dictionary learning W Liu, J Xie, C Zhang, M Yamada, N Zheng, H Qian The Eleventh International Conference on Learning Representations, 2022 | 7 | 2022 |
| Dpvi: A dynamic-weight particle-based variational inference framework C Zhang, Z Li, H Qian, X Du arXiv preprint arXiv:2112.00945, 2021 | 7 | 2021 |
| Partial gromov-wasserstein learning for partial graph matching W Liu, C Zhang, J Xie, Z Shen, H Qian, N Zheng arXiv preprint arXiv:2012.01252, 115, 2020 | 7 | 2020 |
| Using the matrix ridge approximation to speedup determinantal point processes sampling algorithms S Wang, C Zhang, H Qian, Z Zhang Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 7 | 2014 |
| Towards memory-friendly deterministic incremental gradient method J Xie, H Qian, Z Shen, C Zhang International Conference on Artificial Intelligence and Statistics, 1147-1156, 2018 | 4 | 2018 |
| Approximating optimal transport via low-rank and sparse factorization W Liu, C Zhang, N Zheng, H Qian arXiv preprint arXiv:2111.06546, 2021 | 3 | 2021 |
| Accelerated variance reduced block coordinate descent Z Shen, H Qian, C Zhang, T Zhou arXiv preprint arXiv:1611.04149, 2016 | 3 | 2016 |
| GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework F Wang, H Zhu, C Zhang, H Zhao, H Qian Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15466 …, 2024 | 2 | 2024 |
| Neural Sinkhorn Gradient Flow H Zhu, F Wang, C Zhang, H Zhao, H Qian arXiv preprint arXiv:2401.14069, 2024 | 2 | 2024 |
| An asynchronous decentralized algorithm for Wasserstein barycenter problem C Zhang, H Qian, J Xie arXiv preprint arXiv:2304.11653, 2023 | 2 | 2023 |
| From one to all: Learning to match heterogeneous and partially overlapped graphs W Liu, H Qian, C Zhang, J Xie, Z Shen, N Zheng Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4109-4119, 2022 | 2 | 2022 |
| A hybrid stochastic gradient hamiltonian monte carlo method C Zhang, Z Li, Z Shen, J Xie, H Qian Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10842 …, 2021 | 2 | 2021 |
| Generative actor-critic: An off-policy algorithm using the push-forward model L Peng, H Qian, Z Shen, C Zhang, F Li arXiv preprint arXiv:2105.03733, 2021 | 2 | 2021 |
