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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Tianyi Ma</title>
<!--
- favicon
-->
<link rel="shortcut icon" href="./assets/images/logo.ico" type="image/x-icon">
<!--
- custom css link
-->
<link rel="stylesheet" href="./assets/css/style.css">
<!--
- google font link
-->
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Poppins:wght@300;400;500;600&display=swap" rel="stylesheet">
</head>
<body>
<!--
- #MAIN
-->
<main>
<!--
- #SIDEBAR
-->
<aside class="sidebar" data-sidebar>
<div class="sidebar-info">
<figure class="avatar-box">
<img src="./assets/images/avatar-mty-2.png" alt="Tianyi Ma" width="80" l>
</figure>
<div class="info-content">
<h1 class="name" title="Tianyi Ma">Tianyi Ma</h1>
<p class="title">NLP Researcher</p>
</div>
<button class="info_more-btn" data-sidebar-btn>
<span>Show Contacts</span>
<ion-icon name="chevron-down"></ion-icon>
</button>
</div>
<div class="sidebar-info_more">
<div class="separator"></div>
<ul class="contacts-list">
<li class="contact-item">
<div class="icon-box">
<ion-icon name="mail-outline"></ion-icon>
</div>
<div class="contact-info">
<p class="contact-title">Email</p>
<a href="mailto:[email protected]" class="contact-link">[email protected]</a>
</div>
</li>
<li class="contact-item">
<div class="icon-box">
<ion-icon name="phone-portrait-outline"></ion-icon>
</div>
<div class="contact-info">
<p class="contact-title">Phone</p>
<a href="tel:+8618852079860" class="contact-link">+86 18852079860</a>
</div>
</li>
<!-- <li class="contact-item">
<div class="icon-box">
<ion-icon name="calendar-outline"></ion-icon>
</div>
<div class="contact-info">
<p class="contact-title">Birthday</p>
<time datetime="1982-06-23">June 23, 1982</time>
</div>
</li> -->
<li class="contact-item">
<div class="icon-box">
<ion-icon name="location-outline"></ion-icon>
</div>
<div class="contact-info">
<p class="contact-title">Location</p>
<address>Nanjing, Jiangsu, China</address>
</div>
</li>
</ul>
<div class="separator"></div>
<ul class="social-list">
<li class="social-item">
<a href="https://scholar.google.com/citations?hl=en&user=HB7kZ3oAAAAJ&view_op=list_works&sortby=pubdate"
class="social-link">
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</a>
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<ion-icon name="logo-youtube"></ion-icon>
</a>
</li>
</ul>
</div>
</aside>
<!--
- #main-content
-->
<div class="main-content">
<!--
- #NAVBAR
-->
<nav class="navbar">
<ul class="navbar-list">
<li class="navbar-item">
<button class="navbar-link active" data-nav-link>About</button>
</li>
<li class="navbar-item">
<button class="navbar-link" data-nav-link>Resume</button>
</li>
<li class="navbar-item">
<button class="navbar-link" data-nav-link>Publications</button>
</li>
<!-- <li class="navbar-item">
<button class="navbar-link" data-nav-link>Portfolio</button>
</li>
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<button class="navbar-link" data-nav-link>Blog</button>
</li> -->
<li class="navbar-item">
<button class="navbar-link" data-nav-link>Contact</button>
</li>
</ul>
</nav>
<!--
- #ABOUT
-->
<article class="about active" data-page="about">
<header>
<h2 class="h2 article-title">About Me</h2>
</header>
<section class="about-text">
<p>
I am a recent graduate of Southeast University in China, having earned my bachelor's degree of Artificial
Intelligence.
</p>
<p>
My research interest lies in machine learning modeling and natural language processing (NLP)
with a focus on efficiency, safety, and explainability.
More specifically, I am focusing on addressing fact-conflicting hallucinations in text generation
to explore the faithfulness of explanations and creating more efficient and accessible NLP.
</p>
</section>
<!--
- service
-->
<section class="service">
<h3 class="h3 service-title">Research Interest</h3>
<ul class="service-list">
<li class="service-item">
<div class="service-icon-box">
<img src="./assets/images/icon-design.svg
" alt="design icon" width="40">
</div>
<div class="service-content-box">
<h4 class="h4 service-item-title">Enhancing Text Generation: Balancing Fluency and Fidelity</h4>
<p class="service-item-text">
<!-- The most modern and high-quality design made at a professional level. -->
</p>
</div>
</li>
<li class="service-item">
<div class="service-icon-box">
<img src="./assets/images/icon-dev.svg" alt="Web development icon" width="40">
</div>
<div class="service-content-box">
<h4 class="h4 service-item-title">Ameliorating Computational Efficiency and Safety through Interpretable
Approaches</h4>
<p class="service-item-text">
<!-- High-quality development of sites at the professional level. -->
</p>
</div>
</li>
<li class="service-item">
<div class="service-icon-box">
<img src="./assets/images/icon-quote.svg" alt="mobile app icon" width="40">
</div>
<div class="service-content-box">
<h4 class="h4 service-item-title">Addressing fact-conflicting hallucinations in LLMs</h4>
<p class="service-item-text">
<!-- Q1: How do we enhance the interpretability of misinformation detection systems to trace the specific
source and nature of errors in the information generated by LLMs?
<br>
<br>
Q2: How do we quantify the impact of misinformation on the overall credibility of a given text,
transcending binary assessments to measure the extent to which misinformation affects the credibility
of the entire content? -->
</p>
</div>
</li>
<li class="service-item">
<div class="service-icon-box">
<img src="./assets/images/icon-app.svg" alt="camera icon" width="40">
</div>
<div class="service-content-box">
<h4 class="h4 service-item-title">Trustworthy and Responsible ML & NLP Applications</h4>
<p class="service-item-text">
<!-- I make high-quality photos of any category at a professional level. -->
</p>
</div>
</li>
</ul>
</section>
<!--
Latest Publications -->
<section class="news">
<h3 class="h3 news-title">Latest Publications</h3>
<ul class="clients-list has-scrollbar">
<li class="project-item active">
<a href="https://ieeexplore.ieee.org/abstract/document/10152826/">
<!-- <figure class="project-img">
<div class="project-item-icon-box">
<ion-icon name="eye-outline"></ion-icon>
</div>
<img style="width: 160px; height: 160px;" src="./assets/images/publication-FedGraD.png" alt="FedGrad"
loading="lazy">
</figure> -->
<h3 class="project-title">Applying Robust Gradient Difference Compression to Federated Learning</h3>
<p class="project-category">CSCWD 2023</p>
</a>
</li>
<li class="project-item active">
<a href="https://www.mdpi.com/2076-3417/12/18/8998">
<!-- <figure class="project-img">
<div class="project-item-icon-box">
<ion-icon name="eye-outline"></ion-icon>
</div>
<img style="width: 160px; height: 160px;" src="./assets/images/publication-Emiece.png" alt="Emiece"
loading="lazy">
</figure> -->
<h3 class="project-title">An End-to-End Mutually Interactive Emotion–Cause Pair Extractor via Soft
Sharing</h3>
<p class="project-category"> Applied Science 2022</p>
<!-- <p class="project-category">NLP</p> -->
</a>
</li>
<li class="project-item active">
<a href="https://ieeexplore.ieee.org/abstract/document/9493203/">
<!-- <figure class="project-img">
<div class="project-item-icon-box">
<ion-icon name="eye-outline"></ion-icon>
</div>
<img style="width: 160px; height: 160px;" src="./assets/images/publication-FEDJEM.png" alt="FEDJEM"
loading="lazy">
</figure> -->
<h3 class="project-title">Fast and Privacy-Preserving Federated Joint Estimator of Multi-sUGMs</h3>
<p class="project-category">IEEE Access 2021</p>
</a>
</li>
</ul>
</section>
<!--
- testimonials
-->
<!-- <section class="testimonials">
<h3 class="h3 testimonials-title">Testimonials</h3>
<ul class="testimonials-list has-scrollbar">
<li class="testimonials-item">
<div class="content-card" data-testimonials-item>
<figure class="testimonials-avatar-box">
<img src="./assets/images/avatar-1.png" alt="Daniel lewis" width="60" data-testimonials-avatar>
</figure>
<h4 class="h4 testimonials-item-title" data-testimonials-title>Daniel lewis</h4>
<div class="testimonials-text" data-testimonials-text>
<p>
Richard was hired to create a corporate identity. We were very pleased with the work done. She has a
lot of experience
and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt
consectetur adipiscing
elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.
</p>
</div>
</div>
</li>
<li class="testimonials-item">
<div class="content-card" data-testimonials-item>
<figure class="testimonials-avatar-box">
<img src="./assets/images/avatar-2.png" alt="Jessica miller" width="60" data-testimonials-avatar>
</figure>
<h4 class="h4 testimonials-item-title" data-testimonials-title>Jessica miller</h4>
<div class="testimonials-text" data-testimonials-text>
<p>
Richard was hired to create a corporate identity. We were very pleased with the work done. She has a
lot of experience
and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt
consectetur adipiscing
elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.
</p>
</div>
</div>
</li>
<li class="testimonials-item">
<div class="content-card" data-testimonials-item>
<figure class="testimonials-avatar-box">
<img src="./assets/images/avatar-3.png" alt="Emily evans" width="60" data-testimonials-avatar>
</figure>
<h4 class="h4 testimonials-item-title" data-testimonials-title>Emily evans</h4>
<div class="testimonials-text" data-testimonials-text>
<p>
Richard was hired to create a corporate identity. We were very pleased with the work done. She has a
lot of experience
and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt
consectetur adipiscing
elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.
</p>
</div>
</div>
</li>
<li class="testimonials-item">
<div class="content-card" data-testimonials-item>
<figure class="testimonials-avatar-box">
<img src="./assets/images/avatar-4.png" alt="Henry william" width="60" data-testimonials-avatar>
</figure>
<h4 class="h4 testimonials-item-title" data-testimonials-title>Henry william</h4>
<div class="testimonials-text" data-testimonials-text>
<p>
Richard was hired to create a corporate identity. We were very pleased with the work done. She has a
lot of experience
and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt
consectetur adipiscing
elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.
</p>
</div>
</div>
</li>
</ul>
</section> -->
<!--
- testimonials modal
-->
<div class="modal-container" data-modal-container>
<div class="overlay" data-overlay></div>
<section class="testimonials-modal">
<button class="modal-close-btn" data-modal-close-btn>
<ion-icon name="close-outline"></ion-icon>
</button>
<div class="modal-img-wrapper">
<figure class="modal-avatar-box">
<img src="./assets/images/avatar-1.png" alt="Daniel lewis" width="80" data-modal-img>
</figure>
<img src="./assets/images/icon-quote.svg" alt="quote icon">
</div>
<div class="modal-content">
<h4 class="h3 modal-title" data-modal-title>Daniel lewis</h4>
<time datetime="2021-06-14">14 June, 2021</time>
<div data-modal-text>
<p>
Richard was hired to create a corporate identity. We were very pleased with the work done. She has a
lot of experience
and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt
consectetur adipiscing
elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.
</p>
</div>
</div>
</section>
</div>
<!--
- clients
-->
<!-- <section class="clients">
<h3 class="h3 clients-title">Clients</h3>
<ul class="clients-list has-scrollbar">
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</a>
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</a>
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</a>
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<a href="#">
<img src="./assets/images/logo-6-color.png" alt="client logo">
</a>
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</section> -->
</article>
<!--
- #RESUME
-->
<article class="resume" data-page="resume">
<header>
<h2 class="h2 article-title">Resume</h2>
</header>
<section class="timeline">
<div class="title-wrapper">
<div class="icon-box">
<ion-icon name="book-outline"></ion-icon>
</div>
<h3 class="h3">Education</h3>
</div>
<ol class="timeline-list">
<li class="timeline-item">
<h4 class="h4 timeline-item-title">Southeast University</h4>
<span>Sep.2023 - Jun.2024</span>
<p class="timeline-text">
M.S, Artificial Intelligence
</p>
</li>
<li class="timeline-item">
<h4 class="h4 timeline-item-title">University of California, Los Angeles</h4>
<span>Mar.2022 - May.2022</span>
<p class="timeline-text">
Exchange, Data Science, 97/100
</p>
</li>
<li class="timeline-item">
<h4 class="h4 timeline-item-title">Southeast University</h4>
<span>Aug.2019 - Jun.2023</span>
<p class="timeline-text">
B.S., Artificial Intelligence, 88.33/100
</p>
</li>
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<h4 class="h4 timeline-item-title">High school of art and design</h4>
<span>1602 — 1604</span>
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</ol>
</section>
<section class="timeline">
<div class="title-wrapper">
<div class="icon-box">
<ion-icon name="book-outline"></ion-icon>
</div>
<h3 class="h3">Research Experience</h3>
</div>
<ol class="timeline-list">
<li class="timeline-item">
<h4 class="h4 timeline-item-title">Federated robust gradient difference compression</h4>
<span>Nov.2022 - Jun.2023</span>
<p class="timeline-text">
Proposed FedGraD, which leverages gradient difference compression and combines robust aggregation
rules
in federated
learning settings, avoids information loss, mitigates the communication bottleneck, and at the same
time
tolerates
popular Byzantine attacks.
<br>
<!-- <br> -->
Designed the pipeline of FedGraD, and analyzed four different attack setups on three datasets.
</p>
</li>
<li class="timeline-item">
<h4 class="h4 timeline-item-title">Robust Spiking Neural Networks framework under noise and adversarial
attacks</h4>
<span>April.2022 - Feb.2023</span>
<p class="timeline-text">
Designed an inherently robust model with channel-wise activation rcalibration to overcome the
performance flaws of
Spiking Neural Networks by establishing inter-neuron connections and refining the
diverse activation
without additional training.
Provide insights into the interpretability of attacks.
<br>
Achieved SOTA performance on MNIST with 99.52% accuracy and successfully defeats 6 SOTA attacks on
standard benchmarks, ranging from a single attack to multiple attacks.
<br>
Explored the comparison of DNNs and SNNs, built the framework of CARE, and plotted the experimental
results.
</p>
</li>
<li class="timeline-item">
<h4 class="h4 timeline-item-title">Mutually interactive Emotion–Cause Pair Extractor via soft sharing
</h4>
<span>May.2022 - Sep.2022</span>
<p class="timeline-text">
Proposed an end-to-end soft-shared Emotion–Cause Pair Extractor framework and extends the framework to
be
compatible with language models. The performance is improved by 8.64% with essentially the same number
of
parameters; a level close to that of the SOTA method is achieved with 11.5% of the number of trained
parameters.
<br>
Organized the derivation of formulas, wrote the entire paper, revised it and added experiments after
submission.
<br>
Extended the framework from Bi-LSTM to BERT with experimental validation.
</p>
</li>
<li class="timeline-item">
<h4 class="h4 timeline-item-title">Brain research based on deep learning interpretability</h4>
<span>Oct.2021 - May.2022
</span>
<p class="timeline-text">
Simulated the intra-brain features of monkeys during playing Pac-Man by deep learning model, and
predicted monkeys’
decisions using ConvRNN. Predictive accuracy of monkey decision-making under three Pac-Man behaviors
improved by
4% compared to previous methods combined.
<br>
Gave an interpretable analysis of deep neural networks by generating the monkey’s attention through
Grad-CAM.
</p>
</li>
<li class="timeline-item">
<h4 class="h4 timeline-item-title">Time series data operation and maintenance analysis</h4>
<span>Jun.2021 - Oct.2021</span>
<p class="timeline-text">
Designed the anomaly detection algorithm: using Fast Fourier Transform to compute spectral residuals
against the
anomalous data, and constructing a discriminator for spectral residual thresholds end-to-end for
anomaly
detection.
<br>
Compared with the baseline method, it improves 36.1% and 68.8%on KPI and Yahoo datasets, respectively.
<br>
Won Grand Prize of the 17th “Challenge Cup” National Extracurricular Academic and Technological Works
Competition
for College Students (Top 5 in China).
</p>
</li>
<li class="timeline-item">
<h4 class="h4 timeline-item-title">Federated joint estimator of multi-sUGMs</h4>
<span>Dec.2020 - Jul.2021</span>
<p class="timeline-text">
Trained the sparse Undirected Graphical Model methods over a massive network, and predicts several
informative groups
of connectomes based on the real-world dataset. While maintaining data security, the computation cost
is
reduced by
15x, 54x respectively compared to the Baselines.
<br>
Analyzed and processed simulated and real data of neural connections in the brain using Nilearn.
<br>
Plotted figures of experimental predicted results, and drew the methodological framework and schematic
diagram of
experimental operations. Analyzed and processed simulated and real data of neural connections in the
brain using Nilearn.
</p>
</li>
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<h4 class="h4 timeline-item-title">Web designer</h4>
<span>2010 — 2013</span>
<p class="timeline-text">
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</li> -->
</ol>
</section>
<section class="skill">
<h3 class="h3 skills-title">My skills</h3>
<ul class="skills-list content-card">
<li class="skills-item">
<div class="title-wrapper">
<h5 class="h5">Programming</h5>
<data value="80">80%</data>
</div>
<div class="skill-progress-bg">
<div class="skill-progress-fill" style="width: 80%;"></div>
</div>
</li>
<li class="skills-item">
<div class="title-wrapper">
<h5 class="h5">Web Development</h5>
<data value="70">70%</data>
</div>
<div class="skill-progress-bg">
<div class="skill-progress-fill" style="width: 70%;"></div>
</div>
</li>
<li class="skills-item">
<div class="title-wrapper">
<h5 class="h5">Communication</h5>
<data value="90">90%</data>
</div>
<div class="skill-progress-bg">
<div class="skill-progress-fill" style="width: 90%;"></div>
</div>
</li>
<li class="skills-item">
<div class="title-wrapper">
<h5 class="h5">Collaboration</h5>
<data value="80">80%</data>
</div>
<div class="skill-progress-bg">
<div class="skill-progress-fill" style="width: 80%;"></div>
</div>
</li>
</ul>
</section>
</article>
<!-- #PUBLICATIONS -->
<article class="publications" data-page="publications">
<header>
<h2 class="h2 article-title">Publications</h2>
</header>
<section class="projects">
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<button data-filter-btn>Efficiency</button>
</li>
<li class="filter-item">
<button data-filter-btn>Safety</button>
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<div class="select-value" data-selecct-value>Select category</div>
<div class="select-icon">
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<button data-select-item>NLP</button>
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</li>
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<button data-select-item>Safety</button>
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</div>
<ul class="project-list">
<li class="project-item active" data-filter-item data-category="efficiency">
<!-- category should be written in lowcase -->
<a href="https://ieeexplore.ieee.org/abstract/document/10152826/">
<figure class="project-img">
<div class="project-item-icon-box">
<ion-icon name="eye-outline"></ion-icon>
</div>
<img style="object-fit: cover; height: 160px;" src="./assets/images/publication-FedGraD.png"
alt="FedGrad" loading="lazy">
</figure>
<h3 class="project-title">Applying Robust Gradient Difference Compression to Federated Learning</h3>
<p class="project-category">Yueyao Chen, Beilun Wang*, <b>Tianyi Ma</b>, Cheng Chen</p>
</a>
</li>
<li class="project-item active" data-filter-item data-category="nlp">
<a href="https://www.mdpi.com/2076-3417/12/18/8998">
<figure class="project-img">
<div class="project-item-icon-box">
<ion-icon name="eye-outline"></ion-icon>
</div>
<img style="object-fit: cover; height: 160px" src="./assets/images/publication-Emiece.png"
alt="Emiece" loading="lazy">
</figure>
<h3 class="project-title">An End-to-End Mutually Interactive Emotion–Cause Pair Extractor via Soft
Sharing</h3>