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| Partial and asymmetric contrastive learning for out-of-distribution detection in long-tailed recognition H Wang, A Zhang, Y Zhu, S Zheng, M Li, AJ Smola, Z Wang International Conference on Machine Learning, 23446-23458, 2022 | 54 | 2022 |
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| Follow the moving leader in deep learning S Zheng, JT Kwok International Conference on Machine Learning, 4110-4119, 2017 | 31 | 2017 |
| Prompt pre-training with twenty-thousand classes for open-vocabulary visual recognition S Ren, A Zhang, Y Zhu, S Zhang, S Zheng, M Li, AJ Smola, X Sun Advances in Neural Information Processing Systems 36, 12569-12588, 2023 | 27 | 2023 |
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| VCC: scaling transformers to 128K tokens or more by prioritizing important tokens Z Zeng, C Hawkins, M Hong, A Zhang, N Pappas, V Singh, S Zheng Advances in Neural Information Processing Systems 36, 2024 | 8 | 2024 |
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| Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data S Zheng, JT Kwok International Conference on Machine Learning, 5932-5940, 2018 | 8 | 2018 |
| {DISTMM}: Accelerating Distributed Multimodal Model Training J Huang, Z Zhang, S Zheng, F Qin, Y Wang 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2024 | 7 | 2024 |
| Blockwise Adaptivity: Faster Training and Better Generalization in Deep Learning S Zheng, JT Kwok arXiv preprint arXiv:1905.09899, 2019 | 7 | 2019 |
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