Zixiang Chen

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 51

Top Topics

Diffusion Models

Top Venues

Publications

Zixiang Chen, Yihe Deng, Huizhuo Yuan, Kaixuan Ji, Quanquan Gu
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models. CoRR (2024)
Jingfeng Wu, Difan Zou, Zixiang Chen, Vladimir Braverman, Quanquan Gu, Peter L. Bartlett
How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression? ICLR (2024)
Huizhuo Yuan, Zixiang Chen, Kaixuan Ji, Quanquan Gu
Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation. CoRR (2024)
Yiwen Kou, Zixiang Chen, Quanquan Gu, Sham M. Kakade
Matching the Statistical Query Lower Bound for k-sparse Parity Problems with Stochastic Gradient Descent. CoRR (2024)
Zixiang Chen, Jun Han, Yongqian Li, Yiwen Kou, Eran Halperin, Robert E. Tillman, Quanquan Gu
Guided Discrete Diffusion for Electronic Health Record Generation. CoRR (2024)
Qiang Fang, Yue Yang, Hao Wang, Hanxi Sun, Jiangming Chen, Zixiang Chen, Tian Pu, Xiaoqing Zhang, Fubao Liu
LCRNet: local cross-channel recalibration network for liver cancer classification based on CT images. Health Inf. Sci. Syst. 12 (1) (2024)
Zixiang Chen, Yihe Deng, Yuanzhi Li, Quanquan Gu
Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP. ICLR (2024)
Zixiang Chen, Na Zhang, Qiyang Zhang, Kaiyi Liang, Zhenxing Huang, Guotao Quan, Xiang Li, Dong Liang, Zhanli Hu
Low-dose dynamic cerebral perfusion CT reconstruction based on voxel-level TAC correction (VTC). Biomed. Signal Process. Control. 86 (Part B) (2023)
Yiwen Kou, Zixiang Chen, Quanquan Gu
Implicit Bias of Gradient Descent for Two-layer ReLU and Leaky ReLU Networks on Nearly-orthogonal Data. CoRR (2023)
Yiwen Kou, Zixiang Chen, Yuanzhou Chen, Quanquan Gu
Benign Overfitting in Two-layer ReLU Convolutional Neural Networks. ICML (2023)
Yiwen Kou, Zixiang Chen, Quanquan Gu
Implicit Bias of Gradient Descent for Two-layer ReLU and Leaky ReLU Networks on Nearly-orthogonal Data. NeurIPS (2023)
Jingfeng Wu, Difan Zou, Zixiang Chen, Vladimir Braverman, Quanquan Gu, Peter L. Bartlett
How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression? CoRR (2023)
Yiwen Kou, Zixiang Chen, Yuan Cao, Quanquan Gu
How Does Semi-supervised Learning with Pseudo-labelers Work? A Case Study. ICLR (2023)
Zixiang Chen, Chris Junchi Li, Huizhuo Yuan, Quanquan Gu, Michael I. Jordan
A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning. ICLR (2023)
Zixiang Chen, Yihe Deng, Yuanzhi Li, Quanquan Gu
Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP. CoRR (2023)
Yiwen Kou, Zixiang Chen, Yuanzhou Chen, Quanquan Gu
Benign Overfitting for Two-layer ReLU Networks. CoRR (2023)
Zixiang Chen, Huizhuo Yuan, Yongqian Li, Yiwen Kou, Junkai Zhang, Quanquan Gu
Fast Sampling via De-randomization for Discrete Diffusion Models. CoRR (2023)
Zixiang Chen, Junkai Zhang, Yiwen Kou, Xiangning Chen, Cho-Jui Hsieh, Quanquan Gu
Why Does Sharpness-Aware Minimization Generalize Better Than SGD? NeurIPS (2023)
Yihe Deng, Weitong Zhang, Zixiang Chen, Quanquan Gu
Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves. CoRR (2023)
Jingfeng Wu, Difan Zou, Zixiang Chen, Vladimir Braverman, Quanquan Gu, Sham M. Kakade
Learning High-Dimensional Single-Neuron ReLU Networks with Finite Samples. CoRR (2023)
Zixiang Chen, Junkai Zhang, Yiwen Kou, Xiangning Chen, Cho-Jui Hsieh, Quanquan Gu
Why Does Sharpness-Aware Minimization Generalize Better Than SGD? CoRR (2023)
Jingfeng Wu, Difan Zou, Zixiang Chen, Vladimir Braverman, Quanquan Gu, Sham M. Kakade
Finite-Sample Analysis of Learning High-Dimensional Single ReLU Neuron. ICML (2023)
Xinzhe Zuo, Zixiang Chen, Huaxiu Yao, Yuan Cao, Quanquan Gu
Understanding Train-Validation Split in Meta-Learning with Neural Networks. ICLR (2023)
Zhengyong Huang, Sijuan Zou, Guoshuai Wang, Zixiang Chen, Hao Shen, Haiyan Wang, Na Zhang, Lu Zhang, Fan Yang, Haining Wang, Dong Liang, Tianye Niu, Xiaohua Zhu, Zhanli Hu
ISA-Net: Improved spatial attention network for PET-CT tumor segmentation. CoRR (2022)
Zixiang Chen, Dongruo Zhou, Quanquan Gu
Almost Optimal Algorithms for Two-player Zero-Sum Linear Mixture Markov Games. ALT (2022)
Zixiang Chen, Yihe Deng, Yue Wu, Quanquan Gu, Yuanzhi Li
Towards Understanding Mixture of Experts in Deep Learning. CoRR (2022)
Yuan Cao, Zixiang Chen, Misha Belkin, Quanquan Gu
Benign Overfitting in Two-layer Convolutional Neural Networks. NeurIPS (2022)
Spencer Frei, Difan Zou, Zixiang Chen, Quanquan Gu
Self-training Converts Weak Learners to Strong Learners in Mixture Models. AISTATS (2022)
Zixiang Chen, Yaping Wu, Na Zhang, Tao Sun, Yu Shen, Hairong Zheng, Dong Liang, Meiyun Wang, Zhanli Hu
High Temporal Resolution Total-Body Dynamic PET Imaging Based on Pixel-Level Time-Activity Curve Correction. IEEE Trans. Biomed. Eng. 69 (12) (2022)
Zhengyong Huang, Sijuan Zou, Guoshuai Wang, Zixiang Chen, Hao Shen, Haiyan Wang, Na Zhang, Lu Zhang, Fan Yang, Haining Wang, Dong Liang, Tianye Niu, Xiaohua Zhu, Zhanli Hu
ISA-Net: Improved spatial attention network for PET-CT tumor segmentation. Comput. Methods Programs Biomed. 226 (2022)
Yuan Cao, Zixiang Chen, Mikhail Belkin, Quanquan Gu
Benign Overfitting in Two-layer Convolutional Neural Networks. CoRR (2022)
Zixiang Chen, Chris Junchi Li, Angela Yuan, Quanquan Gu, Michael I. Jordan
A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning. CoRR (2022)
Zhengyong Huang, Si Tang, Zixiang Chen, Guoshuai Wang, Hao Shen, Yun Zhou, Haining Wang, Wei Fan, Dong Liang, Yingying Hu, Zhanli Hu
TG-Net: Combining transformer and GAN for nasopharyngeal carcinoma tumor segmentation based on total-body uEXPLORER PET/CT scanner. Comput. Biol. Medicine 148 (2022)
Zixiang Chen, Dongruo Zhou, Quanquan Gu
Faster Perturbed Stochastic Gradient Methods for Finding Local Minima. ALT (2022)
Zixiang Chen, Yihe Deng, Yue Wu, Quanquan Gu, Yuanzhi Li
Towards Understanding the Mixture-of-Experts Layer in Deep Learning. NeurIPS (2022)
Spencer Frei, Difan Zou, Zixiang Chen, Quanquan Gu
Self-training Converts Weak Learners to Strong Learners in Mixture Models. CoRR (2021)
Zhenxing Huang, Xinfeng Liu, Rongpin Wang, Zixiang Chen, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu
Learning a Deep CNN Denoising Approach Using Anatomical Prior Information Implemented With Attention Mechanism for Low-Dose CT Imaging on Clinical Patient Data From Multiple Anatomical Sites. IEEE J. Biomed. Health Informatics 25 (9) (2021)
Zixiang Chen, Dongruo Zhou, Quanquan Gu
Faster Perturbed Stochastic Gradient Methods for Finding Local Minima. CoRR (2021)
Zhanglei Ouyang, Shujun Zhao, Zhaoping Cheng, Yanhua Duan, Zixiang Chen, Na Zhang, Dong Liang, Zhanli Hu
Dynamic PET Imaging Using Dual Texture Features. Frontiers Comput. Neurosci. 15 (2021)
Zixiang Chen, Yuan Cao, Difan Zou, Quanquan Gu
How Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks? ICLR (2021)
Zixiang Chen, Dongruo Zhou, Quanquan Gu
Almost Optimal Algorithms for Two-player Markov Games with Linear Function Approximation. CoRR (2021)
Yongxin Ni, Xiancong Chen, Weike Pan, Zixiang Chen, Zhong Ming
Factored heterogeneous similarity model for recommendation with implicit feedback. Neurocomputing 455 (2021)
Wei Cai, Weike Pan, Jixiong Liu, Zixiang Chen, Zhong Ming
-Reciprocal nearest neighbors algorithm for one-class collaborative filtering. Neurocomputing 381 (2020)
Zhiyuan Huang, Zixiang Chen, Qiyang Zhang, Guotao Quan, Min Ji, Chengjin Zhang, Yongfeng Yang, Xin Liu, Dong Liang, Hairong Zheng, Zhanli Hu
CaGAN: A Cycle-Consistent Generative Adversarial Network With Attention for Low-Dose CT Imaging. IEEE Trans. Computational Imaging 6 (2020)
Zixiang Chen, Yuan Cao, Quanquan Gu, Tong Zhang
Mean-Field Analysis of Two-Layer Neural Networks: Non-Asymptotic Rates and Generalization Bounds. CoRR (2020)
Zixiang Chen, Wanqi Ma, Wei Dai, Weike Pan, Zhong Ming
Conditional restricted Boltzmann machine for item recommendation. Neurocomputing 385 (2020)
Jing Lin, Weike Pan, Lin Li, Zixiang Chen, Zhong Ming
Matrix factorization with heterogeneous multiclass preference context. Neurocomputing 390 (2020)
Zixiang Chen, Yuan Cao, Quanquan Gu, Tong Zhang
A Generalized Neural Tangent Kernel Analysis for Two-layer Neural Networks. NeurIPS (2020)
Zixiang Chen, Yuan Cao, Difan Zou, Quanquan Gu
How Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks? CoRR (2019)
Tianyang Hu, Zixiang Chen, Hanxi Sun, Jincheng Bai, Mao Ye, Guang Cheng
Stein Neural Sampler. CoRR (2018)
Yunfeng Huang, Zixiang Chen, Lin Li, Weike Pan, Zhiguang Shan, Zhong Ming
k-CoFi: Modeling k-Granularity Preference Context in Collaborative Filtering. SmartCom (2017)
Haiping Ma, Dan Simon, Minrui Fei, Xinzhan Shu, Zixiang Chen
Hybrid biogeography-based evolutionary algorithms. Eng. Appl. Artif. Intell. 30 (2014)
Haiping Ma, Dan Simon, Minrui Fei, Zixiang Chen
On the equivalences and differences of evolutionary algorithms. Eng. Appl. Artif. Intell. 26 (10) (2013)