| Hypergraph Neural Networks Y Feng, H You, Z Zhang, R Ji, Y Gao Thirty-Third AAAI Conference on Artificial Intelligence, 2018 | 1335 | 2018 |
| Rethinking network design and local geometry in point cloud: A simple residual MLP framework X Ma, C Qin, H You, H Ran, Y Fu ICLR 2022, 2022 | 575 | 2022 |
| Dynamic fusion with intra-and inter-modality attention flow for visual question answering P Gao, Z Jiang, H You, P Lu, SCH Hoi, X Wang, H Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 430* | 2019 |
| MeshNet: Mesh Neural Network for 3D Shape Representation Y Feng, Y Feng, H You, X Zhao, Y Gao Thirty-Third AAAI Conference on Artificial Intelligence, 2018 | 330 | 2018 |
| PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation C Qin*, H You*, L Wang, CCJ Kuo, Y Fu 2019 Conference on Neural Information Processing Systems (NeurIPS 2019), 2019 | 226 | 2019 |
| PVNet: A Joint Convolutional Network of Point Cloud and Multi-View for 3D Shape Recognition H You, Y Feng, R Ji, Y Gao Proceedings of the 26th ACM international conference on Multimedia, 1310-1318, 2018 | 191 | 2018 |
| Ferret: Refer and ground anything anywhere at any granularity H You, H Zhang, Z Gan, X Du, B Zhang, Z Wang, L Cao, SF Chang, ... ICLR 2024, 2023 | 137 | 2023 |
| Pointhop: An explainable machine learning method for point cloud classification M Zhang, H You, P Kadam, S Liu, CCJ Kuo IEEE Transactions on Multimedia 22 (7), 1744-1755, 2020 | 130 | 2020 |
| Graph-mlp: Node classification without message passing in graph Y Hu, H You, Z Wang, Z Wang, E Zhou, Y Gao arXiv preprint arXiv:2106.04051, 2021 | 125* | 2021 |
| Multi-modality latent interaction network for visual question answering P Gao, H You, Z Zhang, X Wang, H Li Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 97* | 2019 |
| Multimodal adaptive distillation for leveraging unimodal encoders for vision-language tasks Z Wang, N Codella, YC Chen, L Zhou, X Dai, B Xiao, J Yang, H You, ... arXiv preprint arXiv:2204.10496, 2022 | 82* | 2022 |
| Learning Visual Commonsense for Robust Scene Graph Generation A Zareian, H You, Z Wang, SF Chang European Conference on Computer Vision (ECCV) 2020, 2020 | 81 | 2020 |
| Unsupervised vision-and-language pre-training without parallel images and captions LH Li, H You, Z Wang, A Zareian, SF Chang, KW Chang NAACL 2021, 2020 | 74* | 2020 |
| PVRNet: Point-View Relation Neural Network for 3D Shape Recognition H You, Y Feng, X Zhao, C Zou, R Ji, Y Gao Thirty-Third AAAI Conference on Artificial Intelligence, 2018 | 71 | 2018 |
| Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training H You, L Zhou, B Xiao, N Codella, Y Cheng, R Xu, SF Chang, L Yuan European Conference on Computer Vision (ECCV) 2022, 2022 | 46 | 2022 |
| IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models H You, R Sun, Z Wang, L Chen, G Wang, HA Ayyubi, KW Chang, ... Findings of the Association for Computational Linguistics: EMNLP 2023, 2023 | 41 | 2023 |
| Decoding EEG by Visual-guided Deep Neural Networks. Z Jiao, H You, F Yang, X Li, H Zhang, D Shen IJCAI 28, 1387-1393, 2019 | 30 | 2019 |
| SGEITL: Scene graph enhanced image-text learning for visual commonsense reasoning Z Wang, H You, LH Li, A Zareian, S Park, Y Liang, KW Chang, SF Chang Proceedings of the AAAI Conference on Artificial Intelligence 36 (5), 5914-5922, 2022 | 28* | 2022 |
| CoBIT: A Contrastive Bi-directional Image-Text Generation Model H You, M Guo, Z Wang, KW Chang, J Baldridge, J Yu ICLR 2024, 2023 | 15 | 2023 |
| SHREC’22 track: Open-set 3D object retrieval Y Feng, Y Gao, X Zhao, Y Guo, N Bagewadi, NT Bui, H Dao, S Gangisetty, ... Computers & Graphics 107, 231-240, 2022 | 7 | 2022 |
James Zhecan WangColumbia UniversityE-mail megerősítve itt: columbia.edu
