Search Results for author: Ying Ma

Found 8 papers, 3 papers with code

Analysis of Memory Organization for Dynamic Neural Networks

no code implementations Ying Ma, Jose Principe

An increasing number of neural memory networks have been developed, leading to the need for a systematic approach to analyze and compare their underlying memory capabilities.

Dynamic neural networks

Federated Learning of Dynamic Bayesian Network via Continuous Optimization from Time Series Data

1 code implementation13 Dec 2024 Jianhong Chen, Ying Ma, Xubo Yue

In this study, we first introduce a federated learning approach for estimating the structure of a Dynamic Bayesian Network from homogeneous time series data that are horizontally distributed across different parties.

Causal Discovery Personalized Federated Learning +1

Enabling On-Device LLMs Personalization with Smartphone Sensing

no code implementations5 Jul 2024 Shiquan Zhang, Ying Ma, Le Fang, Hong Jia, Simon D'Alfonso, Vassilis Kostakos

To the best of our knowledge, this is the first framework to provide on-device LLMs personalization with smartphone sensing.

Prompt Engineering

Knowledge Graph Reasoning with Self-supervised Reinforcement Learning

1 code implementation22 May 2024 Ying Ma, Owen Burns, Mingqiu Wang, Gang Li, Nan Du, Laurent El Shafey, Liqiang Wang, Izhak Shafran, Hagen Soltau

To alleviate the distributional mismatch issue in general self-supervised RL (SSRL), in our supervised learning (SL) stage, the agent selects actions based on the policy network and learns from generated labels; this self-generation of labels is the intuition behind the name self-supervised.

Knowledge Graphs reinforcement-learning +2

Diverse Motion In-betweening with Dual Posture Stitching

no code implementations25 Mar 2023 Tianxiang Ren, Jubo Yu, Shihui Guo, Ying Ma, Yutao Ouyang, Zijiao Zeng, Yazhan Zhang, Yipeng Qin

In-betweening is a technique for generating transitions given initial and target character states.

Lattice-based Improvements for Voice Triggering Using Graph Neural Networks

no code implementations25 Jan 2020 Pranay Dighe, Saurabh Adya, Nuoyu Li, Srikanth Vishnubhotla, Devang Naik, Adithya Sagar, Ying Ma, Stephen Pulman, Jason Williams

A pure trigger-phrase detector model doesn't fully utilize the intent of the user speech whereas by using the complete decoding lattice of user audio, we can effectively mitigate speech not intended for the smart assistant.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

A Taxonomy for Neural Memory Networks

no code implementations1 May 2018 Ying Ma, Jose Principe

The taxonomy includes all the popular memory networks: vanilla recurrent neural network (RNN), long short term memory (LSTM ), neural stack and neural Turing machine and their variants.

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