| 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 | 637 | 2018 |
| 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 | 591 | 2023 |
| 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 | 399 | 2019 |
| 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 | 370 | 2019 |
| 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 | 362 | 2021 |
| Learning Granger Causality for Hawkes Processes H Xu, M Farajtabar, H Zha arXiv preprint arXiv:1602.04511, 2016 | 313 | 2016 |
| Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching H Xu, D Luo, L Carin Advances in Neural Information Processing Systems 32, 2019 | 282 | 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 | 250 | 2018 |
| 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 | 189 | 2015 |
| 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 | 182 | 2021 |
| 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 | 170 | 2019 |
| Generalized Equalization Model for Image Enhancement H Xu, G Zhai, X Wu, X Yang Multimedia, IEEE Transactions on 16 (1), 68 - 82, 2014 | 167 | 2014 |
| 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 | 125 | 2013 |
| 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 | 117 | 2017 |
| 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 | 110 | 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 | 97 | 2017 |
| 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 | 97 | 2015 |
| 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 | 84 | 2015 |
| Learning Hawkes processes from short doubly-censored event sequences H Xu, D Luo, H Zha International Conference on Machine Learning, 3831-3840, 2017 | 83 | 2017 |
| A survey of geometric graph neural networks: Data structures, models and applications J Han, J Cen, L Wu, Z Li, X Kong, R Jiao, Z Yu, T Xu, F Wu, Z Wang, H Xu, ... Frontiers of Computer Science 19 (11), 1911375, 2025 | 71 | 2025 |
Hongyuan ZhaThe Chinese University of Hong Kong, ShenzhenVerified email at cuhk.edu.cn
