Yihe Deng

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Document Length

Gradient Projection Method

Top Venues

Publications

Xuheng Li, Yihe Deng, Jingfeng Wu, Dongruo Zhou, Quanquan Gu
Risk Bounds of Accelerated SGD for Overparameterized Linear Regression. ICLR (2024)
Zixiang Chen, Yihe Deng, Huizhuo Yuan, Kaixuan Ji, Quanquan Gu
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models. CoRR (2024)
Linxi Zhao, Yihe Deng, Weitong Zhang, Quanquan Gu
Mitigating Object Hallucination in Large Vision-Language Models via Classifier-Free Guidance. CoRR (2024)
Yihe Deng, Pan Lu, Fan Yin, Ziniu Hu, Sheng Shen, James Zou, Kai-Wei Chang, Wei Wang
Enhancing Large Vision Language Models with Self-Training on Image Comprehension. CoRR (2024)
Chenchen Ye, Ziniu Hu, Yihe Deng, Zijie Huang, Mingyu Derek Ma, Yanqiao Zhu, Wei Wang
MIRAI: Evaluating LLM Agents for Event Forecasting. CoRR (2024)
Zixiang Chen, Yihe Deng, Yuanzhi Li, Quanquan Gu
Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP. ICLR (2024)
Xuheng Li, Yihe Deng, Jingfeng Wu, Dongruo Zhou, Quanquan Gu
Risk Bounds of Accelerated SGD for Overparameterized Linear Regression. CoRR (2023)
Zixiang Chen, Yihe Deng, Yuanzhi Li, Quanquan Gu
Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP. CoRR (2023)
Yihe Deng, Zuxu Dai
A Short Text Classification Model Based on Chinese Part-of-Speech Information and Mutual Learning. ICPCSEE (2) (2023)
Yihe Deng, Weitong Zhang, Zixiang Chen, Quanquan Gu
Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves. CoRR (2023)
Yihe Deng, Yu Yang, Baharan Mirzasoleiman, Quanquan Gu
Robust Learning with Progressive Data Expansion Against Spurious Correlation. NeurIPS (2023)
Yihe Deng, Yu Yang, Baharan Mirzasoleiman, Quanquan Gu
Robust Learning with Progressive Data Expansion Against Spurious Correlation. CoRR (2023)
Zixiang Chen, Yihe Deng, Yue Wu, Quanquan Gu, Yuanzhi Li
Towards Understanding Mixture of Experts in Deep Learning. CoRR (2022)
Zixiang Chen, Yihe Deng, Yue Wu, Quanquan Gu, Yuanzhi Li
Towards Understanding the Mixture-of-Experts Layer in Deep Learning. NeurIPS (2022)
Xiaosen Wang, Yichen Yang, Yihe Deng, Kun He
Adversarial Training with Fast Gradient Projection Method against Synonym Substitution Based Text Attacks. AAAI (2021)
Xiaosen Wang, Yichen Yang, Yihe Deng, Kun He
Adversarial Training with Fast Gradient Projection Method against Synonym Substitution based Text Attacks. CoRR (2020)
Zengjian Chen, Jiayi Liu, Yihe Deng, Kun He, John E. Hopcroft
Adaptive Wavelet Clustering for Highly Noisy Data. ICDE (2019)
Shuhuai Ren, Yihe Deng, Kun He, Wanxiang Che
Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency. ACL (1) (2019)
Zengjian Chen, Jiayi Liu, Yihe Deng, Kun He, John E. Hopcroft
Adaptive Wavelet Clustering for Highly Noisy Data. CoRR (2018)