127 citations · 151 across the 10 of their papers we have counts for
11 papers
Baichuan 2: Open Large-scale Language Models
Aiyuan Yang, Bin Xiao, Bingning Wang +52
Large language models (LLMs) have demonstrated remarkable performance on a variety of natural language tasks based on just a few examples of natural language instructions, reducing…
Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion
Yinyu Lan, Shizhu He, Xiangrong Zeng +3
Background Knowledge graphs (KGs), especially medical knowledge graphs, are often significantly incomplete, so it necessitating a demand for medical knowledge graph completion (Med…
Joint Entity and Relation Extraction with Set Prediction Networks
Dianbo Sui, Yubo Chen, Kang Liu +3
The joint entity and relation extraction task aims to extract all relational triples from a sentence. In essence, the relational triples contained in a sentence are unordered. Howe…
The Ordered Weighted Norm: Atomic Formulation, Projections, and Algorithms
Xiangrong Zeng, Mário A. T. Figueiredo
The ordered weighted norm (OWL) was recently proposed, with two different motivations: its good statistical properties as a sparsity promoting regularizer; the fact that i…
Decreasing Weighted Sorted Regularization
Xiangrong Zeng, Mário A. T. Figueiredo
We consider a new family of regularizers, termed {\it weighted sorted norms} (WSL1), which generalizes the recently introduced {\it octagonal shrinkage and clustering algo…
Robust Binary Fused Compressive Sensing using Adaptive Outlier Pursuit
Xiangrong Zeng, Mário A. T. Figueiredo
We propose a new method, {\it robust binary fused compressive sensing} (RoBFCS), to recover sparse piece-wise smooth signals from 1-bit compressive measurements. The proposed metho…
Exploiting Two-Dimensional Group Sparsity in 1-Bit Compressive Sensing
Xiangrong Zeng, Mário A. T. Figueiredo
We propose a new approach, {\it two-dimensional fused binary compressive sensing} (2DFBCS) to recover 2D sparse piece-wise signals from 1-bit measurements, exploiting 2D group spar…
Group-sparse Matrix Recovery
Xiangrong Zeng, Mário A. T. Figueiredo
We apply the OSCAR (octagonal selection and clustering algorithms for regression) in recovering group-sparse matrices (two-dimensional---2D---arrays) from compressive measurements.…
Binary Fused Compressive Sensing: 1-Bit Compressive Sensing meets Group Sparsity
Xiangrong Zeng, Mário A. T. Figueiredo
We propose a new method, {\it binary fused compressive sensing} (BFCS), to recover sparse piece-wise smooth signals from 1-bit compressive measurements. The proposed algorithm is a…
A novel sparsity and clustering regularization
Xiangrong Zeng, Mário A. T. Figueiredo
We propose a novel SPARsity and Clustering (SPARC) regularizer, which is a modified version of the previous octagonal shrinkage and clustering algorithm for regression (OSCAR), whe…
Solving OSCAR regularization problems by proximal splitting algorithms
Xiangrong Zeng, Mário A. T. Figueiredo
The OSCAR (octagonal selection and clustering algorithm for regression) regularizer consists of a L_1 norm plus a pair-wise L_inf norm (responsible for its grouping behavior) and w…