| 3D BrainCV: simultaneous visualization and analysis of cells and capillaries in a whole mouse brain with one-micron voxel resolution J Wu, Y He, Z Yang, C Guo, Q Luo, W Zhou, S Chen, A Li, B Xiong, ... Neuroimage 87, 199-208, 2014 | 119 | 2014 |
| Direct 3D analyses reveal barrel-specific vascular distribution and cross-barrel branching in the mouse barrel cortex J Wu, C Guo, S Chen, T Jiang, Y He, W Ding, Z Yang, Q Luo, H Gong Cerebral cortex 26 (1), 23-31, 2016 | 39 | 2016 |
| iCut: an integrative cut algorithm enables accurate segmentation of touching cells Y He, H Gong, B Xiong, X Xu, A Li, T Jiang, Q Sun, S Wang, Q Luo, ... Scientific reports 5 (1), 12089, 2015 | 36 | 2015 |
| MSSM: a multiple-level sparse sharing model for efficient multi-task learning K Ding, X Dong, Y He, L Cheng, C Fu, Z Huan, H Li, T Yan, L Zhang, ... Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 31 | 2021 |
| An automated three-dimensional detection and segmentation method for touching cells by integrating concave points clustering and random walker algorithm Y He, Y Meng, H Gong, S Chen, B Zhang, W Ding, Q Luo, A Li PloS one 9 (8), e104437, 2014 | 22 | 2014 |
| Compressed digital beamformer with asynchronous sampling for ultrasound imaging J Zhou, Y He, M Chirala, BM Sadler, S Hoyos 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 13 | 2013 |
| An industrial framework for cold-start recommendation in zero-shot scenarios Z Huan, G Zhang, X Zhang, J Zhou, Q Wu, L Gu, J Gu, Y He, Y Zhu, L Mo Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 10 | 2022 |
| SAMD: An Industrial Framework for Heterogeneous Multi-Scenario Recommendation Z Huan, A Li, X Zhang, X Min, J Yang, Y He, J Zhou Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 5 | 2023 |
| Task Similarity Aware Meta Learning for Cold-Start Recommendation J Yang, Z Huan, Y He, K Ding, L Zhang, X Zhang, J Zhou, L Mo Proceedings of the 31st ACM International Conference on Information …, 2022 | 3 | 2022 |
| Learning to select instance: Simultaneous transfer learning and clustering Z Huan, Y Wang, Y He, X Zhang, C Fu, W Wu, J Zhou, K Ding, L Zhang, ... Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 3 | 2021 |
| DCBT: A Simple But Effective Way for Unified Warm and Cold Recommendation J Yang, L Zhang, Y He, K Ding, Z Huan, X Zhang, L Mo Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 2 | 2023 |
| GFlow-FT: Pick a Child Network via Gradient Flow for Efficient Fine-Tuning in Recommendation Systems K Ding, Y He, X Dong, J Yang, L Zhang, A Li, X Zhang, L Mo Proceedings of the 31st ACM International Conference on Information …, 2022 | 2 | 2022 |
| Automatic detection and quantitative analysis of cells in the mouse primary motor cortex Y Meng, Y He, J Wu, S Chen, A Li, H Gong Twelfth International Conference on Photonics and Imaging in Biology and …, 2014 | 2 | 2014 |
| Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors B Geng, Z Huan, X Zhang, Y He, L Zhang, F Yuan, J Zhou, L Mo arXiv preprint arXiv:2403.19347, 2024 | 1 | 2024 |
| MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation W Cheng, K Ding, X Dong, Y He, L Zhang, L Mo Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 1 | 2023 |
| Mixture of Graph Enhanced Expert Networks for Multi-task Recommendation B Hu, B Shen, R Wu, Z Zhang, Y Cao, Y He, L Zhang, L Mo, J Zhou Pacific Rim International Conference on Artificial Intelligence, 3-16, 2022 | 1 | 2022 |
| DAE: Distribution-Aware Embedding for Numerical Features in Click-Through Rate Prediction B Shen, J Xu, X Min, Z Ke, Y He, L Zhang, X Dong, L Mo Proceedings of the 32nd ACM International Conference on Information and …, 2023 | | 2023 |
| SeqGen: A Sequence Generator via User Side Information for Behavior Sparsity in Recommendation X Min, X Zhang, B Shen, S Wang, Y He, C Li, J Zhou Proceedings of the 32nd ACM International Conference on Information and …, 2023 | | 2023 |
| AntMC: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction Z Huan, K Ding, A Li, X Zhang, X Min, Y He, L Zhang, J Zhou, L Mo, J Gu, ... arXiv preprint arXiv:2308.16437, 2023 | | 2023 |
| Uncertainty-based Heterogeneous Privileged Knowledge Distillation for Recommendation System A Li, J Hu, K Ding, X Zhang, J Zhou, Y He, X Min Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | | 2023 |
