Solving OSCAR regularization problems by proximal splitting algorithms. - Xiangrong Zeng; Mário A. T. Figueiredo (CoRR, 2013)

A novel sparsity and clustering regularization. - Xiangrong Zeng; Mário A. T. Figueiredo (CoRR, 2013)

The atomic norm formulation of OSCAR regularization with application to the Frank-Wolfe algorithm. - Xiangrong Zeng; Mário A. T. Figueiredo (EUSIPCO, 2014)

Robust sparsity and clustering regularization for regression. - Xiangrong Zeng; Mário A. T. Figueiredo (EUSIPCO, 2014)

Group-sparse matrix recovery. - Xiangrong Zeng; Mário A. T. Figueiredo (ICASSP, 2014)

Robust binary fused compressive sensing using adaptive outlier pursuit. - Xiangrong Zeng; Mário A. T. Figueiredo (ICASSP, 2014)

Exploiting Two-Dimensional Group Sparsity in 1-Bit Compressive Sensing. - Xiangrong Zeng; Mário A. T. Figueiredo (CoRR, 2014)

Binary Fused Compressive Sensing: 1-Bit Compressive Sensing meets Group Sparsity. - Xiangrong Zeng; Mário A. T. Figueiredo (CoRR, 2014)

The Ordered Weighted ℓ1 Norm: Atomic Formulation, Dual Norm, and Projections. - Xiangrong Zeng; Mário A. T. Figueiredo (CoRR, 2014)

Solving OSCAR regularization problems by fast approximate proximal splitting algorithms. - Xiangrong Zeng; Mário A. T. Figueiredo (Digit. Signal Process., 2014)

Decreasing Weighted Sorted ℓ1 Regularization. - Xiangrong Zeng; Mário A. T. Figueiredo (IEEE Signal Process. Lett., 2014)

A depth-based Multi-view Super-Resolution Method Using Image Fusion and Blind Deblurring. - Jun Fan; Xiangrong Zeng; Qizi Huangpeng; Yan Liu; Xin Long; Jing Feng; Jinglun Zhou (KSII Trans. Internet Inf. Syst., 2016)

Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks? - Shangmin Guo; Xiangrong Zeng; Shizhu He; Kang Liu 001; Jun Zhao 001 (EACL (1), 2017)

Joint demosaicing and denoising of noisy bayer images with ADMM. - Hanlin Tan; Xiangrong Zeng; Shiming Lai; Yu Liu 008; Maojun Zhang (ICIP, 2017)

An On-Line Calibration Technique for General Infrared Camera. - Dianle Zhou; Xiangrong Zeng; Zhiwei Zhong; Yan Liu (ICVS, 2017)

Blur kernel estimation using normal sinh-arcsinh model based on simple lens system. - Dazhi Zhan; Xiangrong Zeng; Weili Li; Yu Liu 008; Zhihui Xiong (MMSP, 2017)

Super-resolving blurry multiframe images through multiframe blind deblurring using ADMM. - Qizi Huangpeng; Xiangrong Zeng; Quan Sun; Jun Fan; Jing Feng; Zhengqiang Pan (Multim. Tools Appl., 2017)

Large Scaled Relation Extraction With Reinforcement Learning. - Xiangrong Zeng; Shizhu He; Kang Liu 001; Jun Zhao 001 (AAAI, 2018)

Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism. - Xiangrong Zeng; Daojian Zeng; Shizhu He; Kang Liu 001; Jun Zhao 001 (ACL (1), 2018)

Dynamically Exchanging Nodes of the Critical Node Problem. - Xiangrong Zeng; Siyang Liu; Lifan Shen; Yongquan Chen; Zhanghua Fu (CCIS, 2018)

A Modified Multichannel Deconvolution Algorithm for Single Lens Imaging. - Jiaqing Zhou; Xiangrong Zeng; Xiaonan Zhang; Xin Long; Guang Jin (ICAIP, 2018)

A novel approach for image enhancement with binocular cameras. - Dianle Zhou; Yan Liu; Xiangrong Zeng; Jian Yang (ICMV, 2018)

Automatic Visual Defect Detection Using Texture Prior and Low-Rank Representation. - Qizi Huangpeng; Hong Zhang 013; Xiangrong Zeng; Wenwei Huang (IEEE Access, 2018)

A Multi-view Super-Resolution Method with Joint-optimization of Image Fusion and Blind Deblurring. - Jun Fan; Yue Wu; Xiangrong Zeng; Qizi Huangpeng; Yan Liu; Xin Long; Jinglun Zhou (KSII Trans. Internet Inf. Syst., 2018)

Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning. - Xiangrong Zeng; Shizhu He; Daojian Zeng; Kang Liu 001; Shengping Liu; Jun Zhao 001 (EMNLP/IJCNLP (1), 2019)

Learning Sparse Convolutional Neural Network via Quantization With Low Rank Regularization. - Xin Long; Zongcheng Ben; Xiangrong Zeng; Yan Liu; Maojun Zhang; Dianle Zhou (IEEE Access, 2019)

A Novel Low-Bit Quantization Strategy for Compressing Deep Neural Networks. - Xin Long; Xiangrong Zeng; Zongcheng Ben; Dianle Zhou; Maojun Zhang (Comput. Intell. Neurosci., 2020)

Joint Entity and Relation Extraction with Set Prediction Networks. - Dianbo Sui; Yubo Chen 001; Kang Liu 001; Jun Zhao 001; Xiangrong Zeng; Shengping Liu (CoRR, 2020)

Loss-Driven Channel Pruning of Convolutional Neural Networks. - Xin Long; Xiangrong Zeng; Chen Chen 127; Huaxin Xiao; Maojun Zhang (IEICE Trans. Inf. Syst., 2020)

A CNN channel pruning low-bit framework using weight quantization with sparse group lasso regularization. - Xin Long; Xiangrong Zeng; Yan Liu; Huaxin Xiao; Maojun Zhang; Zongcheng Ben (J. Intell. Fuzzy Syst., 2020)

AdaCN: An Adaptive Cubic Newton Method for Nonconvex Stochastic Optimization. - Yan Liu; Maojun Zhang; Zhiwei Zhong; Xiangrong Zeng (Comput. Intell. Neurosci., 2021)

Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion. - Yinyu Lan; Shizhu He; Kang Liu 001; Xiangrong Zeng; Shengping Liu; Jun Zhao 001 (BMC Medical Informatics Decis. Mak., 2021)

Dynamic Surface Capture for Human Performance by Fusion of Silhouette and Multi-view Stereo. - Zheng Zhang 011; You Li; Xiangrong Zeng; Sheng Tan; Changhua Jiang (VRCAI, 2022)

Baichuan 2: Open Large-scale Language Models. - Aiyuan Yang; Bin Xiao; Bingning Wang; Borong Zhang; Ce Bian; Chao Yin; Chenxu Lv; Da Pan 003; Dian Wang; Dong Yan; Fan Yang 087; Fei Deng; et al. (CoRR, 2023)

LLaSA: Large Language and Structured Data Assistant. - Yao Xu; Shizhu He; Xiangrong Zeng; Jiabei Chen; Guang Liu; Bingning Wang; Jun Zhao 001; Kang Liu 001 (CoRR, 2024)

Joint Entity and Relation Extraction With Set Prediction Networks. - Dianbo Sui; Xiangrong Zeng; Yubo Chen 001; Kang Liu 001; Jun Zhao 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Baichuan-M1: Pushing the Medical Capability of Large Language Models. - Bingning Wang; Haizhou Zhao; Huozhi Zhou; Liang Song; Mingyu Xu; Wei Cheng; Xiangrong Zeng; Yupeng Zhang; Yuqi Huo; Zecheng Wang; Zhengyun Zhao; Da Pan 003; et al. (CoRR, 2025)

TomatoScanner: phenotyping tomato fruit based on only RGB image. - Xiaobei Zhao; Xiangrong Zeng; Yihang Ma; Pengjin Tang; Xiang Li (CoRR, 2025)

Amplify Adjacent Token Differences: Enhancing Long Chain-of-Thought Reasoning with Shift-FFN. - Yao Xu; Mingyu Xu; Fangyu Lei; Wangtao Sun; Xiangrong Zeng; Bingning Wang; Guang Liu; Shizhu He; Jun Zhao 001; Kang Liu 001 (CoRR, 2025)