LJ.github.io/index.html at master · NickLJLee/LJ.github.io · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xml:lang="en" xmlns="http://www.w3.org/1999/xhtml" lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8">

    <title>Jun Li - Jilin University</title>
    <link rel="stylesheet" href="./bootstrap.css">
    <link rel="stylesheet" href="./style.css">
</head>

<body data-new-gr-c-s-check-loaded="14.1008.0" data-gr-ext-installed="">
    <div class="container">
        <div class="row">
            <div class="col-md-12 top-buffer">
                <h2 class="bottom-buffer">Jun Li</h2><hr>
            </div>
        </div>

        <table id="personal_info">
            <tr>
            <td><img class="photo_of_me" src="LJ.jpg" width=170px style="border: 1px solid black; float:left; margin-top:0px; margin-right:15px"/></td>
            <td>
            <div id="DocInfo">
                <p><strong>Undergraduate</strong><br></p>

                <p>Jilin University, China<br></p>

                <!-- <p>lijun2020@mails.jlu.edu.cn<br></p> -->

                <p>lijun2020@mails.jlu.edu.cn<br></p>

            </div><br>
            </td>
            </tr>
        </table>


        <h3>Biography</h3><hr>
            <p>My research focuses on the intersection of neural engineering, artificial intelligence and computational clinical research, with a particular interest in deep learning, multimodal learning, brain-machine interfaces and physiological signal analysis. The goal of my research is to investigate how machine learning frameworks can be used to aid, understand and integrate multimodal clinical medical data.</p>

        <h3>Research Interests</h3><hr>
            <ul>
                <li><strong>Pattern recognition and deep learning in EEG signals</strong></li>
                <li><strong>Multimodal data fusion for physiological signals</strong></li>
                <li><strong>Closed-loop adaptive neuromodulation</strong></li>
            </ul>

       <h3>Education</h3><hr>
            <ul>
                <li>
                    <p>B.Sc, 2020-2024<br>
                    Jilin University, Jilin, China</p>
                </li>
            </ul>

        <h3>Research Experience</h3><hr>
            <ul>
                <li>
                    <p>Research Assistant, 2022-2023<br>
                    Peking University, Beijing, China<br>
                    Advisor: Prof. Shenda Hong</a></p>
                </li>
            </ul>

        <h3>Publications </h3><hr>
            <!-- <p>(<em>* Corresponding Author</em>)</p> -->
            <h4>Journal Articles</h4>
                <ol>
                    <li>
                        <p><strong>EEG Detection and Prediction of Freezing of Gait in Parkinson's Disease Based on Spatiotemporal Coherent Modes</strong><br>
                            <strong>Jun Li</strong>, Yuzhu Guo<br>
                        <em>TechRxiv (IEEE JBHI under review)</em>
                    </li>
                </ol>

            <h4>Conference Proceedings</h4>
                <ol>
                    <li>
                        <p><strong>Frozen Language Model Helps ECG Zero-Shot Learning</strong><br>
                            <strong>Jun Li</strong>, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong <br>
                        <em>Medical Imaging with Deep Learning<strong>(oral)</strong></em></p>
                    </li>
                </ol>

        <h3>Presentations </h3><hr>
            <ul>
                <li>
                  <p>Jun Li,. EEG Detection and Prediction of Freezing of Gait in Parkinson's Disease Based on Spatiotemporal Coherent Modes.<br>
                  Technologies for Neuroenginnering, virtual. (Poster)</p>
                </li>
            </ul>

        <h3>Skills </h3><hr>
            <ul>
              <h4><p>Programming language:</p></h4>
                <li><p>Proficient in Python, Matlab</p></li>
                <li><p>Experienced in C</p></li>
              <h4><p>Language:</p></h4>
                <li><p>Chinese (Native), English (Fluent), Cantonese (Fluent)</p></li>
            </ul>

        <h3>Awards </h3><hr>
            <ul>
                <li>
                  <p>2nd Prize Winner, National Student Robotics Competition Robomaster High School Competition, 2021</p>
                </li>
                <li>
                  <p>
                  2nd Prize Winner, iCAN Innovation Contest(Final), 2021</p>
                </li>
            </ul>

<p></p>
    </div>


</body></html>