| The diversified ensemble neural network S Zhang, M Liu, J Yan (NeurIPS 2020) Advances in Neural Information Processing Systems, 2021 | 74 | 2021 |
| M-mix: Generating hard negatives via multi-sample mixing for contrastive learning S Zhang, M Liu, J Yan, H Zhang, L Huang, X Yang, P Lu (SIGKDD 2022 Oral) Conference on Knowledge Discovery and Data Mining, 2022 | 52 | 2022 |
| Zero-cl: Instance and feature decorrelation for negative-free symmetric contrastive learning S Zhang, F Zhu, J Yan, R Zhao, X Yang (ICLR 2022) International Conference on Learning Representations, 2022 | 48 | 2022 |
| Align representations with base: A new approach to self-supervised learning S Zhang, L Qiu, F Zhu, J Yan, H Zhang, R Zhao, H Li, X Yang (CVPR 2022) IEEE Conference on Computer Vision and Pattern Recognition, 2022 | 29 | 2022 |
| Fooled by imagination: Adversarial attack to image captioning via perturbation in complex domain S Zhang*, Z Wang*, X Xu, X Guan, Y Yang (ICME 2020) IEEE International Conference on Multimedia and Expo, 2020 | 28 | 2020 |
| Patch-level contrasting without patch correspondence for accurate and dense contrastive representation learning S Zhang, F Zhu, R Zhao, J Yan (ICLR 2023) International Conference on Learning Representations, 2023 | 22 | 2023 |
| Regionblip: A unified multi-modal pre-training framework for holistic and regional comprehension Q Zhou, C Yu, S Zhang, S Wu, Z Wang, F Wang arXiv preprint arXiv:2308.02299, 2023 | 21 | 2023 |
| Contextual Image Masking Modeling via Synergized Contrasting without View Augmentation for Faster and Better Visual Pretraining S Zhang, F Zhu, R Zhao, J Yan (ICLR 2023) International Conference on Learning Representations, 2023 | 18 | 2023 |
| Localized contrastive learning on graphs H Zhang, Q Wu, Y Wang, S Zhang, J Yan, PS Yu arXiv preprint arXiv:2212.04604, 2022 | 18 | 2022 |
| Chronomagic-bench: A benchmark for metamorphic evaluation of text-to-time-lapse video generation S Yuan, J Huang, Y Xu, Y Liu, S Zhang, Y Shi, R Zhu, X Cheng, J Luo, ... (NeurIPS 2024 Dataset Track Spotlight) Advances in Neural Information …, 2024 | 17 | 2024 |
| Self-supervised learning of visual graph matching C Liu*, S Zhang*, X Yang, J Yan (ECCV 2022) The European Conference on Computer Vision, 2022 | 17 | 2022 |
| Patch-level Contrastive Learning via Positional Query for Visual Pre-training S Zhang, Q Zhou, Z Wang, F Wang, J Yan (ICML 2023) International Conference on Machine Learning, 2023 | 13 | 2023 |
| HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception J Yuan, X Zhang, H Zhou, J Wang, Z Qiu, Z Shao, S Zhang, S Long, ... (NeurIPS 2023) Advances in Neural Information Processing Systems, 2024 | 9 | 2024 |
| Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach S Zhang, J Huang, Q Zhou, Z Wang, F Wang, J Luo, J Yan (ICLR 2024) International Conference on Learning Representations, 2024 | 8 | 2024 |
| DOTIN: Dropping task-irrelevant nodes for GNNs S Zhang, F Zhu, J Yan, R Zhao, X Yang arXiv preprint arXiv:2204.13429, 2022 | 5 | 2022 |
| PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders X Zhang*, S Zhang*, J Yan (NeurIPS 2024 Spotlight) Advances in Neural Information Processing Systems, 2025 | 3 | 2025 |
| Revo-lion: Evaluating and refining vision-language instruction tuning datasets N Liao, S Zhang, R Xia, B Zhang, M Cao, Y Qiao, J Yan arXiv preprint arXiv:2310.06594, 2023 | 3 | 2023 |
| Exploiting Unlabeled Data with Multiple Expert Teachers for Open Vocabulary Aerial Object Detection and Its Orientation Adaptation Y Li, W Guo, X Yang, N Liao, S Zhang, Y Yu, W Yu, J Yan arXiv preprint arXiv:2411.02057, 2024 | | 2024 |
| View Crafting For Instance-Level Representation from Scene Images B Liu, Y Luo, S Zhang, Z Yuan, C Xu, B Chen, J Yan (ICASSP 2024) International Conference on Acoustics, Speech, and Signal …, 2024 | | 2024 |
| GMTR: Graph Matching Transformers J Guo, S Zhang, R Wang, C Liu, J Yan (ICASSP 2024) International Conference on Acoustics, Speech, and Signal …, 2024 | | 2024 |
Junchi YanFIAPR/FIET/IEEE-AI2Watch, Prof. SJTU (2018-), SII (2024-), IBM (2011-2018)Bestätigte E-Mail-Adresse bei cs.sjtu.edu.cn