Sequential recommendation with user memory networks X Chen, H Xu, Y Zhang, J Tang, Y Cao, Z Qin, H Zha Proceedings of the eleventh ACM international conference on web search and …, 2018 | 522 | 2018 |
Gromov-wasserstein learning for graph matching and node embedding H Xu, D Luo, H Zha, L Carin International conference on machine learning, 6932-6941, 2019 | 261 | 2019 |
Learning Granger Causality for Hawkes Processes H Xu, M Farajtabar, H Zha arXiv preprint arXiv:1602.04511, 2016 | 251 | 2016 |
Personalized fashion recommendation with visual explanations based on multimodal attention network: Towards visually explainable recommendation X Chen, H Chen, H Xu, Y Zhang, Y Cao, Z Qin, H Zha Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 248 | 2019 |
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching H Xu, D Luo, L Carin Advances in Neural Information Processing Systems 32, 2019 | 190 | 2019 |
Quaternion convolutional neural networks X Zhu, Y Xu, H Xu, C Chen Proceedings of the European conference on computer vision (ECCV), 631-647, 2018 | 171 | 2018 |
Bernnet: Learning arbitrary graph spectral filters via bernstein approximation M He, Z Wei, H Xu Advances in Neural Information Processing Systems 34, 14239-14251, 2021 | 170 | 2021 |
Uni-mol: A universal 3d molecular representation learning framework G Zhou, Z Gao, Q Ding, H Zheng, H Xu, Z Wei, L Zhang, G Ke | 160 | 2023 |
Vector Sparse Representation of Color Image Using Quaternion Matrix Analysis Y Xu, L Yu, H Xu, H Zhang, T Nguyen Image Processing, IEEE Transactions on 24 (4), 1315 - 1329, 2015 | 152 | 2015 |
Generalized Equalization Model for Image Enhancement H Xu, G Zhai, X Wu, X Yang Multimedia, IEEE Transactions on 16 (1), 68 - 82, 2014 | 152 | 2014 |
Topic-guided variational autoencoders for text generation W Wang, Z Gan, H Xu, R Zhang, G Wang, D Shen, C Chen, L Carin arXiv preprint arXiv:1903.07137, 2019 | 145 | 2019 |
Counterfactual data-augmented sequential recommendation Z Wang, J Zhang, H Xu, X Chen, Y Zhang, WX Zhao, JR Wen Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 120 | 2021 |
Personalized key frame recommendation X Chen, Y Zhang, Q Ai, H Xu, J Yan, Z Qin Proceedings of the 40th international ACM SIGIR conference on research and …, 2017 | 116 | 2017 |
Single image super-resolution with detail enhancement based on local fractal analysis of gradient H Xu, X Yang, G Zhai Circuits and Systems for Video Technology, IEEE Transactions on 23 (10 …, 2013 | 116 | 2013 |
Unsupervised trajectory clustering via adaptive multi-kernel-based shrinkage H Xu, Y Zhou, W Lin, H Zha Proceedings of the IEEE international conference on computer vision, 4328-4336, 2015 | 92 | 2015 |
Distilled wasserstein learning for word embedding and topic modeling H Xu, W Wang, W Liu, L Carin Advances in Neural Information Processing Systems 31, 2018 | 91 | 2018 |
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering H Xu, H Zha Advances in Neural Information Processing Systems 30, 1354-1363, 2017 | 82 | 2017 |
Learning Hawkes processes from short doubly-censored event sequences H Xu, D Luo, H Zha International Conference on Machine Learning, 3831-3840, 2017 | 80 | 2017 |
Multi-Task Multi-Dimensional Hawkes Processes for Modeling Event Sequences D Luo, H Xu, Y Zhen, X Ning, H Zha, X Yang, W Zhang Proceedings of the Twenty-Fourth International Joint Conference on …, 2015 | 76 | 2015 |
A tube-and-droplet-based approach for representing and analyzing motion trajectories W Lin, Y Zhou, H Xu, J Yan, M Xu, J Wu, Z Liu IEEE transactions on pattern analysis and machine intelligence 39 (8), 1489-1503, 2016 | 61 | 2016 |