| Generating natural language adversarial examples through probability weighted word saliency S Ren, Y Deng, K He, W Che Proceedings of the 57th annual meeting of the association for computational …, 2019 | 694 | 2019 |
| Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models Z Chen*, Y Deng*, H Yuan*, K Ji, Q Gu arXiv preprint arXiv:2401.01335, 2024 | 87 | 2024 |
| Towards Understanding the Mixture-of-Experts Layer in Deep Learning Z Chen, Y Deng, Y Wu, Q Gu, Y Li Advances in neural information processing systems (NeurIPS), 2022 | 75* | 2022 |
| Adversarial training with fast gradient projection method against synonym substitution based text attacks X Wang*, Y Yang*, Y Deng*, K He Proceedings of the AAAI Conference on Artificial Intelligence 35 (16), 13997 …, 2021 | 69 | 2021 |
| Rephrase and respond: Let large language models ask better questions for themselves Y Deng, W Zhang, Z Chen, Q Gu arXiv preprint arXiv:2311.04205, 2023 | 22 | 2023 |
| Robust Learning with Progressive Data Expansion Against Spurious Correlation Y Deng*, Y Yang*, B Mirzasoleiman, Q Gu Advances in neural information processing systems (NeurIPS), 2023 | 14 | 2023 |
| Mitigating Object Hallucination in Large Vision-Language Models via Classifier-Free Guidance L Zhao*, Y Deng*, W Zhang, Q Gu arXiv preprint arXiv:2402.08680, 2024 | 10 | 2024 |
| Adaptive wavelet clustering for highly noisy data Z Chen, J Liu, Y Deng, K He, JE Hopcroft 2019 IEEE 35th International Conference on Data Engineering (ICDE), 328-337, 2019 | 8 | 2019 |
| Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP Z Chen*, Y Deng*, Y Li, Q Gu International Conference on Learning Representations (ICLR), 2024 | 4 | 2024 |
| Enhancing Large Vision Language Models with Self-Training on Image Comprehension Y Deng, P Lu, F Yin, Z Hu, S Shen, J Zou, KW Chang, W Wang arXiv preprint arXiv:2405.19716, 2024 | 1 | 2024 |
| Risk Bounds of Accelerated SGD for Overparameterized Linear Regression X Li, Y Deng, J Wu, D Zhou, Q Gu International Conference on Learning Representations (ICLR), 2024 | | 2024 |
| PhyGCN: Pre-trained Hypergraph Convolutional Neural Networks with Self-supervised Learning Y Deng*, R Zhang*, P Xu, J Ma, Q Gu bioRxiv, 2023.10. 01.560404, 2023 | | 2023 |
| On the Power of Multitask Representation Learning with Gradient Descent Q Li, Z Chen, Y Deng, Y Kou, Y Cao, Q Gu | | |
Yu YangUniversity of California, Los Angeles在 cs.ucla.edu 的电子邮件经过验证
