| 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 | 803 | 2019 |
| Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models Z Chen*, Y Deng*, H Yuan*, K Ji, Q Gu International Conference on Machine Learning (ICML), 2024 | 471 | 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 | 140* | 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 | 86 | 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 | 66 | 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 | 33 | 2023 |
| Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance L Zhao*, Y Deng*, W Zhang, Q Gu Neurips Safe Generative AI Workshop 2024, 2024 | 28* | 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 Advances in neural information processing systems (NeurIPS), 2024 | 28 | 2024 |
| 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 | 15 | 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 | 9 | 2019 |
| MIRAI: Evaluating LLM Agents for Event Forecasting C Ye*, Z Hu*, Y Deng*, Z Huang, MD Ma, Y Zhu, W Wang arXiv preprint arXiv:2407.01231, 2024 | 4 | 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 | 3 | 2024 |
| DuoGuard: A Two-Player RL-Driven Framework for Multilingual LLM Guardrails Y Deng, Y Yang, J Zhang, W Wang, B Li arXiv preprint arXiv:2502.05163, 2025 | 1 | 2025 |
| GraphVis: Boosting LLMs with Visual Knowledge Graph Integration Y Deng, C Ye, Z Huang, MD Ma, Y Kou, W Wang Advances in neural information processing systems (NeurIPS), 2024 | 1 | 2024 |
| On the Power of Multitask Representation Learning with Gradient Descent Q Li, Z Chen, Y Deng, Y Kou, Y Cao, Q Gu International Conference on Artificial Intelligence and Statistics (AISTATS), 2025 | | 2025 |
| Flow-DPO: Improving LLM Mathematical Reasoning through Online Multi-Agent Learning Y Deng, P Mineiro The 4th Workshop on Mathematical Reasoning and AI at NeurIPS'24, 2024 | | 2024 |
| Pre-trained Hypergraph Convolutional Neural Networks with Self-supervised Learning Y Deng*, R Zhang*, P Xu, J Ma, Q Gu Transactions on Machine Learning Research (TMLR), 2024 | | 2024 |
Weitong ZhangAssistant Professor, SDSS, UNC Chapel Hillכתובת אימייל מאומתת בדומיין unc.edu