4 citations · 11 across the 8 of their papers we have counts for
8 papers
Comparison of sEMG Encoding Accuracy Across Speech Modes Using Articulatory and Phoneme Features
Chenqian Le, Ruisi Li, Beatrice Fumagalli +6
We test whether Speech Articulatory Coding (SPARC) features can linearly predict surface electromyography (sEMG) envelopes across aloud, mimed, and subvocal speech in twenty-four s…
Ultrafast microwave sensing and automatic recognition of dynamic objects in open world using programmable surface plasmonic neural networks
Qian Ma, Ze Gu, Zi Rui Feng +6
The evolution toward next-generation intelligent sensing requires microwave systems to move beyond static detection and achieve high-speed and adaptive perception of dynamic scenes…
AVMeme Exam: A Multimodal Multilingual Multicultural Benchmark for LLMs' Contextual and Cultural Knowledge and Thinking
Xilin Jiang, Qiaolin Wang, Junkai Wu +30
Internet audio-visual clips convey meaning through time-varying sound and motion, which extend beyond what text alone can represent. To examine whether AI models can understand suc…
Optimization Method of Multi-factor Investment Model Driven by Deep Learning for Risk Control
Ruisi Li, Xinhui Gu
Propose a deep learning driven multi factor investment model optimization method for risk control. By constructing a deep learning model based on Long Short Term Memory (LSTM) and…
An Effective Software Risk Prediction Management Analysis of Data Using Machine Learning and Data Mining Method
Jinxin Xu, Yue Wang, Ruisi Li +2
For one to guarantee higher-quality software development processes, risk management is essential. Furthermore, risks are those that could negatively impact an organization's operat…
A K-means Algorithm for Financial Market Risk Forecasting
Jinxin Xu, Kaixian Xu, Yue Wang +2
Financial market risk forecasting involves applying mathematical models, historical data analysis and statistical methods to estimate the impact of future market movements on inves…
Adapting LLMs for Efficient Context Processing through Soft Prompt Compression
Cangqing Wang, Yutian Yang, Ruisi Li +5
The rapid advancement of Large Language Models (LLMs) has inaugurated a transformative epoch in natural language processing, fostering unprecedented proficiency in text generation,…
DAC: Deep Autoencoder-based Clustering, a General Deep Learning Framework of Representation Learning
Si Lu, Ruisi Li
Clustering performs an essential role in many real world applications, such as market research, pattern recognition, data analysis, and image processing. However, due to the high d…