Jing Huang

A conditional composite likelihood ratio test with boundary constraints

2017 · Biometrika

Composite likelihood has been widely used in applications. The asymptotic distribution of the composite likelihood ratio statistic at the boundary of the parameter space is a complicated mixture of weighted |$\chi^2$| distributions. In this paper …

On the Cultivation of Innovative Computer Talents in Local Universities under the Background of New Engineering

2019 · International Journal of New Developments in Education

In the background of new engineering education, how to meet the new needs of social development and cultivate more high-quality computer professionals is the key to the development of computer professional education. Based on the …

Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification

2021

Recent work on aspect-level sentiment classification has employed Graph Convolutional Networks (GCN) over dependency trees to learn interactions between aspect terms and opinion words. In some cases, the corresponding opinion words for an aspect term …

Residual Enhanced Multi-Hypergraph Neural Network

2021

Hypergraphs are a generalized data structure of graphs to model higher-order correlations among entities, which have been successfully adopted into various researching fields. Meanwhile, HyperGraph Neural Network (HGNN) is currently the de-facto method for hypergraph …

On the validity of using ground-based observations to validate geostationary-satellite-derived direct and diffuse surface solar irradiance: Quantifying the spatial mismatch and temporal averaging issues

2022 · Remote Sensing of Environment

This paper discusses the differences, due to different measuring mechanisms, of satellite-derived and ground measured surface solar irradiance (SSI) direct and diffuse components, and the impacts of the differences when validating satellite-derived data using ground …

NGRPO: Negative-enhanced Group Relative Policy Optimization

2025 · arXiv (Cornell University)

RLVR has enhanced the reasoning capabilities of Large Language Models (LLMs) across various tasks. However, GRPO, a representative RLVR algorithm, suffers from a critical limitation: when all responses within a group are either entirely correct …

Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction

2017

Recently, many e-commerce websites have encouraged their users to rate shopping items and write review texts. This review information has been very useful for understanding user preferences and item properties, as well as enhancing the …

Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs

2019

Multi-hop reading comprehension (RC) across documents poses new challenge over single-document RC because it requires reasoning over multiple documents to reach the final answer. In this paper, we propose a new model to tackle the …

Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling

2021 · Proceedings of the AAAI Conference on Artificial Intelligence

Document-level relation extraction (RE) poses new challenges compared to its sentence-level counterpart. One document commonly contains multiple entity pairs, and one entity pair occurs multiple times in the document associated with multiple possible relations. In …