Zixiang Chen - RankMe

73 papers A* 19A 2B 2Journal 49Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AudioCapBench: Quick Evaluation on Audio Captioning across Sound, Music, and Speech. CoRR Jielin Qiu, Jianguo Zhang, Zixiang Chen, Liangwei Yang, Ming Zhu, Juntao Tan, Haolin Chen, Wenting Zhao, Rithesh Murthy, Roshan Ram, Akshara Prabhakar, Shelby Heinecke, Caiming Xiong, Silvio Savarese, Huan Wang
2026	J	`jnl`	Building Enterprise Realtime Voice Agents from Scratch: A Technical Tutorial. CoRR Jielin Qiu, Zixiang Chen, Liangwei Yang, Ming Zhu, Zhiwei Liu, Juntao Tan, Wenting Zhao, Rithesh Murthy, Roshan Ram, Akshara Prabhakar, Shelby Heinecke, Caiming Xiong, Silvio Savarese, Huan Wang
2026	J	`jnl`	Enterprise Sales Copilot: Enabling Real-Time AI Support with Automatic Information Retrieval in Live Sales Calls. CoRR Jielin Qiu, Liangwei Yang, Ming Zhu, Wenting Zhao, Zhiwei Liu, Juntao Tan, Zixiang Chen, Roshan Ram, Akshara Prabhakar, Rithesh Murthy, Shelby Heinecke, Caiming Xiong, Silvio Savarese, Huan Wang
2026	J	`jnl`	Position: Vector Prompt Interfaces Should Be Exposed to Enable Customization of Large Language Models. CoRR Liangwei Yang, Shiyu Wang, Haolin Chen, Rithesh Murthy, Ming Zhu, Jielin Qiu, Zixiang Chen, Juntao Tan, Jianguo Zhang, Zhiwei Liu, Wenting Zhao, Silvio Savarese, Caiming Xiong, Huan Wang, Shelby Heinecke
2026	J	`jnl`	Prompt Optimization Via Diffusion Language Models. CoRR Shiyu Wang, Haolin Chen, Liangwei Yang, Jielin Qiu, Rithesh Murthy, Ming Zhu, Zixiang Chen, Silvio Savarese, Caiming Xiong, Shelby Heinecke, Huan Wang
2026	J	`jnl`	VoiceAgentRAG: Solving the RAG Latency Bottleneck in Real-Time Voice Agents Using Dual-Agent Architectures. CoRR Jielin Qiu, Jianguo Zhang, Zixiang Chen, Liangwei Yang, Ming Zhu, Juntao Tan, Haolin Chen, Wenting Zhao, Rithesh Murthy, Roshan Ram, Akshara Prabhakar, Shelby Heinecke, Caiming Xiong, Silvio Savarese, Huan Wang
2025	A*	`conf`	Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis. ICLR Zikun Zhang, Zixiang Chen, Quanquan Gu
2025	J	`jnl`	Enterprise Deep Research: Steerable Multi-Agent Deep Research for Enterprise Analytics. CoRR Akshara Prabhakar, Roshan Ram, Zixiang Chen, Silvio Savarese, Frank Wang, Caiming Xiong, Huan Wang, Weiran Yao
2025	J	`jnl`	Global Convergence and Rich Feature Learning in CoRR Zixiang Chen, Greg Yang, Qingyue Zhao, Quanquan Gu
2025	A*	`conf`	Global Convergence and Rich Feature Learning in L-Layer Infinite-Width Neural Networks under μ Parametrization. ICML Zixiang Chen, Greg Yang, Qingyue Zhao, Quanquan Gu
2025	J	`jnl`	Group Representational Position Encoding. CoRR Yifan Zhang, Zixiang Chen, Yifeng Liu, Zhen Qin, Huizhuo Yuan, Kangping Xu, Yang Yuan, Quanquan Gu, Andrew Chi-Chih Yao
2025	J	`jnl`	Guided Discrete Diffusion for Electronic Health Record Generation. Trans. Mach. Learn. Res. Jun Han, Zixiang Chen, Yongqian Li, Yiwen Kou, Eran Halperin, Robert E. Tillman, Quanquan Gu
2025	J	`jnl`	LoCoBench-Agent: An Interactive Benchmark for LLM Agents in Long-Context Software Engineering. CoRR Jielin Qiu, Zuxin Liu, Zhiwei Liu, Rithesh Murthy, Jianguo Zhang, Haolin Chen, Shiyu Wang, Ming Zhu, Liangwei Yang, Juntao Tan, Roshan Ram, Akshara Prabhakar, Tulika Awalgaonkar, Zixiang Chen, Zhepeng Cen, Cheng Qian, Shelby Heinecke, Weiran Yao, Silvio Savarese, Caiming Xiong, Huan Wang
2025	A	`conf`	On the Power of Multitask Representation Learning with Gradient Descent. AISTATS Qiaobo Li, Zixiang Chen, Yihe Deng, Yiwen Kou, Yuan Cao, Quanquan Gu
2025	J	`jnl`	SceneFlow: Synthesizing indoor scenes via geometry-enhanced flow matching. Comput. Aided Geom. Des. Wenming Wu, Akang Shen, Yanzhe Yin, Zixiang Chen, Gaofeng Zhang, Liping Zheng
2024	J	`jnl`	Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis. CoRR Zikun Zhang, Zixiang Chen, Quanquan Gu
2024	J	`jnl`	Correlation analysis and recurrence evaluation system for patients with recurrent hepatolithiasis: a multicentre retrospective study. Frontiers Digit. Health Zihan Li, Yibo Zhang, Zixiang Chen, Jiangming Chen, Hui Hou, Cheng Wang, Zheng Lu, Xiaoming Wang, Xiaoping Geng, Fubao Liu
2024	A*	`conf`	Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time. NeurIPS Zixiang Chen, Huizhuo Yuan, Yongqian Li, Yiwen Kou, Junkai Zhang, Quanquan Gu
2024	J	`jnl`	Guided Discrete Diffusion for Electronic Health Record Generation. CoRR Zixiang Chen, Jun Han, Yongqian Li, Yiwen Kou, Eran Halperin, Robert E. Tillman, Quanquan Gu
2024	A*	`conf`	How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression? ICLR Jingfeng Wu, Difan Zou, Zixiang Chen, Vladimir Braverman, Quanquan Gu, Peter L. Bartlett
2024	J	`jnl`	LCRNet: local cross-channel recalibration network for liver cancer classification based on CT images. Health Inf. Sci. Syst. Qiang Fang, Yue Yang, Hao Wang, Hanxi Sun, Jiangming Chen, Zixiang Chen, Tian Pu, Xiaoqing Zhang, Fubao Liu
2024	A*	`conf`	Matching the Statistical Query Lower Bound for k-Sparse Parity Problems with Sign Stochastic Gradient Descent. NeurIPS Yiwen Kou, Zixiang Chen, Quanquan Gu, Sham M. Kakade
2024	J	`jnl`	Matching the Statistical Query Lower Bound for k-sparse Parity Problems with Stochastic Gradient Descent. CoRR Yiwen Kou, Zixiang Chen, Quanquan Gu, Sham M. Kakade
2024	A*	`conf`	Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models. ICML Zixiang Chen, Yihe Deng, Huizhuo Yuan, Kaixuan Ji, Quanquan Gu
2024	J	`jnl`	Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models. CoRR Zixiang Chen, Yihe Deng, Huizhuo Yuan, Kaixuan Ji, Quanquan Gu
2024	J	`jnl`	Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation. CoRR Huizhuo Yuan, Zixiang Chen, Kaixuan Ji, Quanquan Gu
2024	A*	`conf`	Self-Play Fine-tuning of Diffusion Models for Text-to-image Generation. NeurIPS Huizhuo Yuan, Zixiang Chen, Kaixuan Ji, Quanquan Gu
2024	A*	`conf`	Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP. ICLR Zixiang Chen, Yihe Deng, Yuanzhi Li, Quanquan Gu
2023	A*	`conf`	A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning. ICLR Zixiang Chen, Chris Junchi Li, Huizhuo Yuan, Quanquan Gu, Michael I. Jordan
2023	J	`jnl`	Benign Overfitting for Two-layer ReLU Networks. CoRR Yiwen Kou, Zixiang Chen, Yuanzhou Chen, Quanquan Gu
2023	A*	`conf`	Benign Overfitting in Two-layer ReLU Convolutional Neural Networks. ICML Yiwen Kou, Zixiang Chen, Yuanzhou Chen, Quanquan Gu
2023	J	`jnl`	Fast Sampling via De-randomization for Discrete Diffusion Models. CoRR Zixiang Chen, Huizhuo Yuan, Yongqian Li, Yiwen Kou, Junkai Zhang, Quanquan Gu
2023	A*	`conf`	Finite-Sample Analysis of Learning High-Dimensional Single ReLU Neuron. ICML Jingfeng Wu, Difan Zou, Zixiang Chen, Vladimir Braverman, Quanquan Gu, Sham M. Kakade
2023	A*	`conf`	How Does Semi-supervised Learning with Pseudo-labelers Work? A Case Study. ICLR Yiwen Kou, Zixiang Chen, Yuan Cao, Quanquan Gu
2023	J	`jnl`	How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression? CoRR Jingfeng Wu, Difan Zou, Zixiang Chen, Vladimir Braverman, Quanquan Gu, Peter L. Bartlett
2023	A*	`conf`	Implicit Bias of Gradient Descent for Two-layer ReLU and Leaky ReLU Networks on Nearly-orthogonal Data. NeurIPS Yiwen Kou, Zixiang Chen, Quanquan Gu
2023	J	`jnl`	Implicit Bias of Gradient Descent for Two-layer ReLU and Leaky ReLU Networks on Nearly-orthogonal Data. CoRR Yiwen Kou, Zixiang Chen, Quanquan Gu
2023	J	`jnl`	Learning High-Dimensional Single-Neuron ReLU Networks with Finite Samples. CoRR Jingfeng Wu, Difan Zou, Zixiang Chen, Vladimir Braverman, Quanquan Gu, Sham M. Kakade
2023	J	`jnl`	Low-dose dynamic cerebral perfusion CT reconstruction based on voxel-level TAC correction (VTC). Biomed. Signal Process. Control. Zixiang Chen, Na Zhang, Qiyang Zhang, Kaiyi Liang, Zhenxing Huang, Guotao Quan, Xiang Li, Dong Liang, Zhanli Hu
2023	J	`jnl`	Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves. CoRR Yihe Deng, Weitong Zhang, Zixiang Chen, Quanquan Gu
2023	A*	`conf`	Understanding Train-Validation Split in Meta-Learning with Neural Networks. ICLR Xinzhe Zuo, Zixiang Chen, Huaxiu Yao, Yuan Cao, Quanquan Gu
2023	J	`jnl`	Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP. CoRR Zixiang Chen, Yihe Deng, Yuanzhi Li, Quanquan Gu
2023	A*	`conf`	Why Does Sharpness-Aware Minimization Generalize Better Than SGD? NeurIPS Zixiang Chen, Junkai Zhang, Yiwen Kou, Xiangning Chen, Cho-Jui Hsieh, Quanquan Gu
2023	J	`jnl`	Why Does Sharpness-Aware Minimization Generalize Better Than SGD? CoRR Zixiang Chen, Junkai Zhang, Yiwen Kou, Xiangning Chen, Cho-Jui Hsieh, Quanquan Gu
2022	J	`jnl`	A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning. CoRR Zixiang Chen, Chris Junchi Li, Angela Yuan, Quanquan Gu, Michael I. Jordan
2022	B	`conf`	Almost Optimal Algorithms for Two-player Zero-Sum Linear Mixture Markov Games. ALT Zixiang Chen, Dongruo Zhou, Quanquan Gu
2022	A*	`conf`	Benign Overfitting in Two-layer Convolutional Neural Networks. NeurIPS Yuan Cao, Zixiang Chen, Misha Belkin, Quanquan Gu
2022	J	`jnl`	Benign Overfitting in Two-layer Convolutional Neural Networks. CoRR Yuan Cao, Zixiang Chen, Mikhail Belkin, Quanquan Gu
2022	B	`conf`	Faster Perturbed Stochastic Gradient Methods for Finding Local Minima. ALT Zixiang Chen, Dongruo Zhou, Quanquan Gu
2022	J	`jnl`	High Temporal Resolution Total-Body Dynamic PET Imaging Based on Pixel-Level Time-Activity Curve Correction. IEEE Trans. Biomed. Eng. Zixiang Chen, Yaping Wu, Na Zhang, Tao Sun, Yu Shen, Hairong Zheng, Dong Liang, Meiyun Wang, Zhanli Hu
2022	J	`jnl`	ISA-Net: Improved spatial attention network for PET-CT tumor segmentation. Comput. Methods Programs Biomed. 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
2022	J	`jnl`	ISA-Net: Improved spatial attention network for PET-CT tumor segmentation. CoRR 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
2022	A	`conf`	Self-training Converts Weak Learners to Strong Learners in Mixture Models. AISTATS Spencer Frei, Difan Zou, Zixiang Chen, Quanquan Gu
2022	J	`jnl`	TG-Net: Combining transformer and GAN for nasopharyngeal carcinoma tumor segmentation based on total-body uEXPLORER PET/CT scanner. Comput. Biol. Medicine Zhengyong Huang, Si Tang, Zixiang Chen, Guoshuai Wang, Hao Shen, Yun Zhou, Haining Wang, Wei Fan, Dong Liang, Yingying Hu, Zhanli Hu
2022	J	`jnl`	Towards Understanding Mixture of Experts in Deep Learning. CoRR Zixiang Chen, Yihe Deng, Yue Wu, Quanquan Gu, Yuanzhi Li
2022	A*	`conf`	Towards Understanding the Mixture-of-Experts Layer in Deep Learning. NeurIPS Zixiang Chen, Yihe Deng, Yue Wu, Quanquan Gu, Yuanzhi Li
2021	J	`jnl`	Almost Optimal Algorithms for Two-player Markov Games with Linear Function Approximation. CoRR Zixiang Chen, Dongruo Zhou, Quanquan Gu
2021	J	`jnl`	Dynamic PET Imaging Using Dual Texture Features. Frontiers Comput. Neurosci. Zhanglei Ouyang, Shujun Zhao, Zhaoping Cheng, Yanhua Duan, Zixiang Chen, Na Zhang, Dong Liang, Zhanli Hu
2021	J	`jnl`	Factored heterogeneous similarity model for recommendation with implicit feedback. Neurocomputing Yongxin Ni, Xiancong Chen, Weike Pan, Zixiang Chen, Zhong Ming
2021	J	`jnl`	Faster Perturbed Stochastic Gradient Methods for Finding Local Minima. CoRR Zixiang Chen, Dongruo Zhou, Quanquan Gu
2021	A*	`conf`	How Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks? ICLR Zixiang Chen, Yuan Cao, Difan Zou, Quanquan Gu
2021	J	`jnl`	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 Zhenxing Huang, Xinfeng Liu, Rongpin Wang, Zixiang Chen, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu
2021	J	`jnl`	Self-training Converts Weak Learners to Strong Learners in Mixture Models. CoRR Spencer Frei, Difan Zou, Zixiang Chen, Quanquan Gu
2020	A*	`conf`	A Generalized Neural Tangent Kernel Analysis for Two-layer Neural Networks. NeurIPS Zixiang Chen, Yuan Cao, Quanquan Gu, Tong Zhang
2020	J	`jnl`	CaGAN: A Cycle-Consistent Generative Adversarial Network With Attention for Low-Dose CT Imaging. IEEE Trans. Computational Imaging Zhiyuan Huang, Zixiang Chen, Qiyang Zhang, Guotao Quan, Min Ji, Chengjin Zhang, Yongfeng Yang, Xin Liu, Dong Liang, Hairong Zheng, Zhanli Hu
2020	J	`jnl`	Conditional restricted Boltzmann machine for item recommendation. Neurocomputing Zixiang Chen, Wanqi Ma, Wei Dai, Weike Pan, Zhong Ming
2020	J	`jnl`	Matrix factorization with heterogeneous multiclass preference context. Neurocomputing Jing Lin, Weike Pan, Lin Li, Zixiang Chen, Zhong Ming
2020	J	`jnl`	Mean-Field Analysis of Two-Layer Neural Networks: Non-Asymptotic Rates and Generalization Bounds. CoRR Zixiang Chen, Yuan Cao, Quanquan Gu, Tong Zhang
2019	J	`jnl`	How Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks? CoRR Zixiang Chen, Yuan Cao, Difan Zou, Quanquan Gu
2018	J	`jnl`	Stein Neural Sampler. CoRR Tianyang Hu, Zixiang Chen, Hanxi Sun, Jincheng Bai, Mao Ye, Guang Cheng
2017	—	`conf`	k-CoFi: Modeling k-Granularity Preference Context in Collaborative Filtering. SmartCom Yunfeng Huang, Zixiang Chen, Lin Li, Weike Pan, Zhiguang Shan, Zhong Ming
2014	J	`jnl`	Hybrid biogeography-based evolutionary algorithms. Eng. Appl. Artif. Intell. Haiping Ma, Dan Simon, Minrui Fei, Xinzhan Shu, Zixiang Chen
2013	J	`jnl`	On the equivalences and differences of evolutionary algorithms. Eng. Appl. Artif. Intell. Haiping Ma, Dan Simon, Minrui Fei, Zixiang Chen