Ning Wang

Robust speaker recognition based on multi-stream features

2016

In this paper, we investigate the effect of the G.723.1 (6.3kbps) on speaker recognition system. In order to improve the robustness of codec mismatch, we used the Power Normalized Cepstral Coefficients (PNCC) which is a …

Expansion of Sentiment Lexicon Based on Label Propagation

2019

Sentiment lexicons play a vital role in the field of sentiment classification. The existing sentiment lexicon has problems such as limited coverage and poor adaptability in the field. Building an sentiment lexicon with large coverage …

Efficient Multi-Channel Thermal Monitoring and Temperature Prediction Based on Improved Linear Regression

2021 · IEEE Transactions on Instrumentation and Measurement

The early prediction and accurate tracking of the thermal characteristics of the CPU of a server can help avoid thermal failure and runaway due to defects in its thermal design. This study proposes a method …

A Study on Anxiety and Factors of Anxiety in Korean Contemporary Poetry Reading by Chinese Learners –For Advanced Level of Korean Learners in China–

2022 · Teaching Korean as a Foreign Language

This study focuses on advanced learners who are learning contemporary Korean poetry in China, and identifies the characteristics of their anxiety in reading modern Korean poetry, revealing the factors that cause anxiety, and identifies the …

Semantic-Aware Blockchain Architecture Design for Edge-enabled Metaverse

2023

The evolution of the Metaverse places higher demands on task transmission and computation to provide users with enhanced quality services. In this paper, we are first to address the timely task allocation and processing for …

ProfLLM: A framework for adapting offline large language models to few-shot expert knowledge

2023

Large language models perform well at common field, but are much less effective in niche academic fields .The cause of this problem is that large language models lack the ability to handle few-shot expert knowledge. …

Large Language Model for Verilog Generation with Code-Structure-Guided Reinforcement Learning

2025

Recent advancements in large language models (LLMs) have sparked significant interest in the automatic generation of Register Transfer Level (RTL) designs, particularly using Verilog. Current research on this topic primarily focuses on pre-training and instruction …