PageSourceSearch

https://keirworkshop.github.io/

html keirworkshop.github.io collected 2026-10-03 09:27:06 UTC 30,982 bytes, 714 lines download raw bytes

1<!DOCTYPE html>
2<html lang="en">
3
4
5<head>
6
7    <meta charset="utf-8">
8    <meta http-equiv="X-UA-Compatible" content="IE=edge">
9    <meta name="viewport" content="width=device-width, initial-scale=1">
10    <meta name="description" content="Cayman is a clean, responsive theme for GitHub Pages."">
11    <meta property=" og:image" content="https://kdd-milets.github.io/milets2022/assets/img/thumbnail.jpg">
12    <meta property="og:type" content="website" />
13    <meta property="og:title" content="KEIR@ECIR 2024: The First Workshop on Knowledge-Enhanced Information Retrieval">
14    <meta property="og:description" content="KEIR@ECIR 2024: The First Workshop on Knowledge-Enhanced Information Retrieval">
15
16
17    <title>KEIR@ECIR 2024: The First Workshop on Knowledge-Enhanced Information Retrieval</title>
18
19    <!-- Bootstrap Core CSS -->
20    <link href="assets/css/bootstrap.min.css" rel="stylesheet">
21
22    <!-- Custom CSS -->
23    <link href="assets/css/agency.css?v=3" rel="stylesheet">
24
25    <!-- Custom Fonts -->
26    <link href="assets/css/font-awesome.min.css" rel="stylesheet" type="text/css">
27    <link href="https://fonts.googleapis.com/css?family=Montserrat:400,700" rel="stylesheet" type="text/css">
28    <link href='https://fonts.googleapis.com/css?family=Kaushan+Script' rel='stylesheet' type='text/css'>
29    <link href='https://fonts.googleapis.com/css?family=Droid+Serif:400,700,400italic,700italic' rel='stylesheet'
30        type='text/css'>
31    <link href='https://fonts.googleapis.com/css?family=Roboto+Slab:400,100,300,700' rel='stylesheet' type='text/css'>
32
33    <!-- Global site tag (gtag.js) - Google Analytics -->
vendor: 68 bytes, lines 33-34
33
34    <script async src="https://www.googletagmanager.com/gtag/js?id=
34UA-114495477-1
vendor: 16 bytes, lines 34-35
34"></script>
35    
35<script>
36        
vendor: 177 bytes, lines 36-44
36window.dataLayer = window.dataLayer || [];
37
38        function gtag() {
39            dataLayer.push(arguments);
40        }
41
42        gtag('js', new Date());
43
44        gtag('config', '
44UA-114495477-1
vendor: 8 bytes, lines 44-45
44');
45    
45</script>
45
46
47
48</head>
49
50<body id="page-top" class="index">
51
52    <!-- Navigation -->
vendor: 68 bytes, lines 52-53
52
53    <script async src="https://www.googletagmanager.com/gtag/js?id=
53G-T8FCCBB6BD
vendor: 12 bytes, line 53
53"></script>
54<script>
55  
vendor: 133 bytes, lines 55-58
55window.dataLayer = window.dataLayer || [];
56  function gtag(){dataLayer.push(arguments);}
57  gtag('js', new Date());
58  gtag('config', '
58G-T8FCCBB6BD
vendor: 4 bytes, line 58
58');
59</script>
59
60<nav class="navbar navbar-default navbar-fixed-top">
61    <div class="container">
62        <!-- Brand and toggle get grouped for better mobile display -->
63        <div class="navbar-header page-scroll">
64            <button type="button" class="navbar-toggle" data-toggle="collapse" data-target="#bs-example-navbar-collapse-1">
65            <span class="sr-only">Toggle navigation</span>
66            <span class="icon-bar"></span>
67            <span class="icon-bar"></span>
68            <span class="icon-bar"></span>
69        </button>
70
71        </div>
72
73        <!-- Collect the nav links, forms, and other content for toggling -->
74        <div class="collapse navbar-collapse" id="bs-example-navbar-collapse-1">
75            <ul class="nav navbar-nav navbar-right">
76              <li class="hidden">
77                <a href="#page-top"></a>
78              </li>
79              <li>
80                <a class="page-scroll" href="#about">About</a>
81              </li>
82              <li>
83                <a class="page-scroll" href="#call">Call for Papers</a>
84              </li>
85              <li>
86                <a class="page-scroll" href="#dates">Important Dates</a>
87              </li>
88              <li>
89                <a class="page-scroll" href="#speaker">Keynotes</a>
90              </li>
91              <li>
92                <a class="page-scroll" href="#contributions">contributions</a>
93              </li>
94              <li>
95                <a class="page-scroll" href="#schedule">Schedule</a>
96              </li>
97              <li>
98                <a class="page-scroll" href="#organizer">Organizer</a>
99              </li>
100              <li>
101                <a class="page-scroll" href="#contact">Contact</a>
102              </li>
103            </ul>
104          </div>
105        <!-- /.navbar-collapse -->
106    </div>
107    <!-- /.container-fluid -->
108</nav>
109
110
111    <!-- Header -->
112    <header>
113        <div class="container">
114            <div class="intro-text" style="color:white;">
115
116                <div class="intro-heading">KEIR@ECIR 2024: The First Workshop on Knowledge-Enhanced Information Retrieval</div>
117                <div class="intro-lead-in"> on the 46th European Conference on Information Retrieval (ECIR'24)
118                </div>
119                <div class="intro-lead-in"> Glasgow, Scotland: 28th March, 2024
120                </div>
121            </div>
122        </div>
123    </header>
124
125    <section id="about" style="padding-top: 30px;" class=bg-mid-gray>
126    <div class="container">
127        <div class="row">
128            <div class="col-lg-12 text-center">
129                <h2 class="section-heading">About the workshop</h2>
130                <!--h3 class="section-subheading text-muted">Lorem ipsum dolor sit amet consectetur.</h3-->
131            </div>
132        </div>
133        <div class="row text-justify">
134            <div class="col-md-12">
135                <p class="large text-muted">
136                    In the field of information retrieval (IR), harnessing knowledge from external knowledge bases, such
137                    as Knowledge Graphs and Wikipedia, has emerged as a promising avenue for improving the effectiveness
138                    and the interpretability of IR systems. These external knowledge bases offer valuable information
139                    that empowers IR models to make more accurate predictions. The infusion of external knowledge bases
140                    into IR models can provide enhanced ranking results and greater interpretability, offering
141                    substantial advancements in the field.
142                    <br><br>
143                    The First Knowledge-Enhanced Information Retrieval workshop (KEIR @ ECIR 2024) will serve as a
144                    platform to bring together researchers from academia and industry to explore and discuss various
145                    aspects of knowledge-enhanced information retrieval systems, such as models, techniques, data
146                    collection and evaluation. The workshop aims to not only deliberate upon the advantages and hurdles
147                    intrinsic to the development of knowledge-enhanced PLMs, IR models and RecSys models but also to
148                    facilitate in-depth discussions concerning the same.
149                </p>
150
151                <!-- <ul class="large text-muted">
152                        <li>Time series pattern mining and detection, representation, searching and indexing, classification, clustering, prediction, forecasting, and rule mining.
153                        </li>
154                        <li>Time series with special structure: spatiotemporal (e.g., traffic speeds at different locations), relational (e.g., patients with similar diseases), hierarchical, etc.
155                        </li>
156                        <li>Time series with sparse or irregular sampling, missing values at and not at random, and special types of measurement noise or bias.
157                        </li>
158                        <li>Time series that are multivariate, high-dimensional, heterogeneous, etc., or that possess other atypical properties.
159                        </li>
160                        <li>Time series analysis using less traditional approaches, such as deep learning and subspace clustering.</li>
161                        <li>Privacy preserving time series mining and learning.</li>
162                        <li>Online, high-speed learning and mining from streaming time series.</li>
163                        <li>Uncertain time series mining.</li>
164                        <li>Applications to high impact or relatively new time series domains, such as health and medicine, road traffic, and air quality.
165                        </li>
166                        <li>New, open, or unsolved problems in time series analysis and mining.
167                        </li>
168                    </ul> -->
169            </div>
170        </div>
171    </div>
172</section>
173    <section id="call" class=>
174  <div class="container">
175    <div class="row">
176      <div class="col-lg-12 text-center">
177        <h2 class="section-heading">Call for Papers</h2>
178      </div>
179    </div>
180    <div class="row text-justify">
181      <div class="col-md-12">
182        <p class="large text-muted">
183          This workshop holds a steadfast commitment to fostering collaboration among researchers engaged
184          in the realm of knowledge integration for IR, RecSys and NLP. We invite submissions regarding different
185          aspects of knowledge-enhanced information retrieval systems. Relevant topics include, but are not limited to:
186        </p>
187        <ul class="large text-muted">
188          <ul>
189            <li>Knowledge-enhanced information retrieval models. </li>
190            <li>Knowledge-enhanced approaches for query processing, including query parsing, query expansion,
191              relevance feedback, and query reformulation. </li>
192            <li>Knowledge-enhanced recommendation models. </li>
193            <li>Knowledge-enhanced language models for retrieval. </li>
194            <li>Data augmentation for knowledge-enhanced information retrieval. </li>
195            <li>Knowledge retrieval from unstructured data and structured data. </li>
196            <li>Applications of knowledge-enhanced retrievals, such as dialogue systems, question answering,
197              summarisation and other domain-specific applications.</li>
198            <li>Data collection for knowledge-enhanced information retrieval.</li>
199            <li>Evaluation methodologies for knowledge-enhanced retrieval.</li>
200            <li>The interpretability and analysis of knowledge-enhanced models for IR, including potential biases and
201              ethical considerations.</li>
202          </ul>
203        </ul>
204        <p class="large text-muted">
205
206          We invite authors to submit papers written in English. Submissions may range in length from a minimum of 6
207          pages to a maximum of 12 pages; however, references and supplementary materials may exceed this page count
208          without limitation. In order to facilitate a double-blind review process, authors must ensure that submissions
209          are fully anonymized. Please note that we do not impose a specific anonymity period prior to submission.
210
211          </br> </br>
212          The papers (.pdf format) should be submitted using the EasyChair submission system at <a
213            href="https://easychair.org/conferences/?conf=keirecir2024">https://easychair.org/conferences/?conf=keirecir2024</a>.
214          Authors should consult Springer’s authors’
215          guidelines and use their proceedings templates to prepare the submission. The Microsoft Word and LaTeX
216          versions of the template can be found at <a
217            href="https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines">https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines</a>.
218          Submissions to
219          KEIR@ECIR2024 will be peer-reviewed on the basis of technical qual
219ity, relevance to workshop topics,
220          originality, significance, clarity, etc.
221          </br>
222
223          We accept submissions of the following types:
224        </p>
225        <ul>
226          <li>Original work that is not published or submitted elsewhere.</li>
227          <li>Work that is submitted elsewhere and is still under review. In this case, the authors should make sure
228            that you are not violating the submission guidelines and anonymity requirements of the other venue(s).
229          </li>
230          <li>Work that has been rejected at ECIR 2024.</li>
231        </ul>
232        </br>
233        <p class="large text-muted">
234          The proceedings of the KEIR workshop will be non-archival in nature. Extended versions of selected papers will
235          be recommended for special issues of several SCI-indexed international journals. However, authors retain the
236          right to submit their work to other peer-reviewed venues for further dissemination.
237
238        </p>
239
240      </div>
241    </div>
242  </div>
243</section>
244    <!DOCTYPE html>
245<html>
246
247<head>
248  <style>
249    del {
250      text-decoration: line-through;
251      /* 添加横线 */
252      color: rgba(128, 128, 128, 0.5);
253      /* 设置文本颜色 */
254    }
255
256    .extended-date {
257      color: red;
258      /* 设置文本颜色为红色 */
259    }
260  </style>
261</head>
262
263<body>
264  <section id="dates" class=bg-mid-gray>
265    <div class="container">
266      <div class="row">
267        <div class="col-lg-12 text-center">
268          <h2 class="section-heading">Important Dates</h2>
269          <!--h3 class="section-subheading text-muted">Lorem ipsum dolor sit amet consectetur.</h3-->
270        </div>
271      </div>
272      <div class="row text-justify">
273        <div class="col-md-12">
274          <ul class="large text-muted">
275            <li><b>Paper Submission Deadline (extended):</b><del> January 12, 2024 </del> <span
276                class="extended-date"></span><b>January 26,
277                2024, 11:59 PM, AoE</b></span></li>
278            <li><b>Acceptance Notification:</b> February 22, 2024 (11:59 PM, AoE)</li>
279            <li><b>Workshop Date:</b> March 28, 2024</li>
280          </ul>
281        </div>
282      </div>
283    </div>
284  </section>
285</body>
286
287</html>
288    <section id="speaker" class=>
289    <div class="container">
290        <div class="row">
291            <div class="col-lg-12 text-center">
292                <h2 class="section-heading">Keynote Speakers </h2>
293                <!-- <h3>TBD</h3> -->
294            </div>
295
296        </div>
297
298        
299        
300        <div class="row speakers" class=>
301  <div class="col-sm-4">
302    <div class="team-member">
303      <a href="https://renzhaochun.github.io/" target="_blank">
304        <img
305          src="assets/img/zhaochun_ren.png"
306          style="height: 240px; width: 240px"
307          class="img-responsive img-circle"
308          alt="Zhaochun Ren"
309        />
310      </a>
311      <h4>
312        <a href="https://renzhaochun.github.io/" target="_blank"
313          >
313Zhaochun Ren</a
314        >
315      </h4>
316      <p class="text-muted">
317        Associate professor<br />Leiden University, The Netherlands
318      </p>
319    </div>
320  </div>
321
322  <div class="col-sm-8 text-justify">
323    <h4>Knowledge-enhanced Conversational Recommender Systems</h4>
324    <p><b>Abstract</b><br>Conversational Recommender Systems (CRS) have revolutionized how we interact with the recommender by discerning user preferences through iterative dialogues. However, the effectiveness of these systems is often hindered by a need for more contextual understanding for precise preference modeling. Integrating various external knowledge sources offers promising solutions to enrich dialogue context, predict user preferences, and generate informative responses. This presentation will delve into recent advancements in the realm of knowledge-enhanced CRS, spotlighting studies that leverage knowledge to refine recommendations and enrich user interactions. I will share insights from our recent research that bolsters the recommendation quality and the informativeness of conversational responses. Additionally, I will illuminate emerging research trajectories within this domain, emphasizing the synergy between CRS and Large Language Models.</p>
325    <p>
326      <b>Bio</b><br />
327      Dr. Zhaochun Ren is an Associate Professor at Leiden University, the Netherlands. He is interested in information retrieval and natural language processing, with an emphasis on conversational artificial intelligence, recommender systems, and social media analysis. He aims to develop intelligent agents that can address complex user requests and solve core challenges in NLP and IR towards that goal.
328    </p>
329  </div>
330</div>
331
332        
333        <div class="row speakers" class=>
334  <div class="col-sm-4">
335    <div class="team-member">
336      <a href="https://www.linkedin.com/in/ridhoreinanda/" target="_blank">
337        <img
338          src="assets/img/Ridho_Reinanda.jpeg"
339          style="height: 240px; width: 240px"
340          class="img-responsive img-circle"
341          alt="Ridho Reinanda"
342        />
343      </a>
344      <h4>
345        <a href="https://www.linkedin.com/in/ridhoreinanda/" target="_blank"
346          >Ridho Reinanda</a
347        >
348      </h4>
349      <p class="text-muted">
350        AI Research Scientist<br />Bloomberg, UK
351      </p>
352    </div>
353  </div>
354
355  <div class="col-sm-8 text-justify">
356    <h4>Utilizing Structured and Encoded Knowledge for Search</h4>
357    <p><b>Abstract</b><br>At Bloomberg, we build search applications for financial professionals as a part of our main product, the Bloomberg Terminal. In this talk, we will provide an illustration of a typical search workflow at Bloomberg, and discuss 1) how structured and encoded knowledge could be utilized end-to-end in a search system, and 2) challenges in applying them effectively at each step. Early in the pipeline, knowledge can be used to enrich and organize documents in the searchable collection. Thus, we start by discussing the document understanding step. Then, we consider the challenges of interpreting queries correctly and applying the appropriate retrieval configuration needed to satisfy the user’s information needs. We then continue to discuss the utilization of such enriched knowledge for document retrieval and reranking. Lastly, since user experience (UX) plays an important role in the search process, we will also discuss open questions around designing the user experience that is guided by knowledge.</p>
358    <p>
359      <b>Bio</b><br />
360      Dr. Ridho Reinanda is an AI Research Scientist who is currently leading the Knowledge Graph team at Bloomberg. He obtained his Ph.D. in Information Retrieval at the University of Amsterdam, where he focused on leveraging knowledge graphs for information retrieval tasks and applying IR techniques for knowledge graph maintenance.
361    </p>
362  </div>
363</div>
364
365        
366
367
368    </div>
369
370</section>
371    <section id="contributions" class=bg-mid-gray>
372  <div class="container">
373    <div class="row">
374      <div class="col-lg-12 text-center">
375        <h2 class="section-heading">Contributions</h2>
376      </div>
377    </div>
378    <div class="text-center">
379      <h3>Invited Talks</h3>
380    </div>
381    <div class="row text-justify">
382      <div class="col-md-12">
383        <ul class="large text-muted">
384          <li><b>(1) Leveraging Entities and Knowledge Graph Semantics for Neural IR</b><br>
385            Shubham Chatterjee - University of Edinburgh</li>
386        </ul>
387        <ul class="large text-muted">
388          <li><b>(2) Automatic Data Annotation and Webly Supervised Visual Question Answering</b><br>
389            Paul Lerner - Sorbonne Université, CNRS, ISIR</li>
390        </ul>
391        <ul class="large text-muted">
392          <li><b>(3) Leveraging Contrastive Learning and Noise Augmentation for Effective Knowledge Graph-driven
393              Recommendation
394            </b><br>
395            Zeyuan Meng - University of Glasgow</li>
396        </ul>
397        <ul class="large text-muted">
398          <li><b>(4) Enhancing event-specific information retrieval by knowledge graphs</b><br>Sara Abdollahi - Leibniz
399            University Hannover</li>
400        </ul>
401        <ul class="large text-muted">
402          <li><b>(5) Adhoc Retrieval using Relevance Knowledge from a Query-Document Graph</b><br>Erlend Frayling -
403            University of Glasgow</li>
404        </ul>
405      </div>
406    </div>
407
408    <div class="text-center">
409      <h3>Accepted Papers</h3>
410    </div>
411    <div class="row text-justify">
412      <div class="col-md-12">
413        <ul class="large text-muted">
414          <li><b>(1) <a href="assets/files/keir_1.pdf">Adaptive Latent Entity Expansion for Document Retrieval
415              </a></b><br>
416            Iain Mackie, Shubham Chatterjee, Sean MacAvaney and Jeffrey Dalton </li>
417        </ul>
418        <ul class="large text-muted">
419          <li><b>(2)<a href="assets/files/keir_2.pdf"> Satisfactory Medical Consultation based on Terminology-Enhanced
420                Information Retrieval and Emotional
421                In-Context Learning </a></b><br>
422            Jing Tang, Kaiwen Zuo, Hanbing Qin, Binli Luo and Shiyan Tang </li>
423          </li>
424        </ul>
425        <ul class="large text-muted">
426          <li><b>(3) <a href="assets/files/keir_4.pdf">Enhancing Late Interaction with Informative Entities for Passage
427                Retrieval</a>
428            </b><br>
429            Jinyuan Fang, Zaiqiao Meng and Craig Macdonald </li>
430        </ul>
431        <ul class="large text-muted">
432          <li><b>(4) <a href="assets/files/keir_3.pdf">Identifying User Shopping Needs in Voice Product Questions
433                for Proactive Shopping Recommendations
434              </a>
435            </b><br>
436            Besnik Fetahu, Nachshon Cohen, Elad Haramaty, Liane Lewin-Eytan, Oleg Rokhlenko and Shervin Malmasi</li>
437          </li>
438        </ul>
439        
440      </div>
441    </div>
442  </div>
443</section>
444    <style>
445  table,
446  th,
447  td {
448    border: 1px solid black;
449    margin-left: auto;
450    margin-right: auto;
451    margin-top: auto;
452    margin-bottom: auto;
453    font-size: large;
454  }
455
456  th {
457    background-color: #009879;
458    color: #ffffff;
459    text-align: center;
460  }
461</style>
462<section id="schedule" class=>
463  <div class="container">
464    <div class="row">
465      <div class="col-lg-12 text-center">
466        <h2 class="section-heading">Workshop Schedule</h2>
467        <!-- <h3>TBD</h3> -->
468        <!--h3 class="section-subheading text-muted">Lorem ipsum dolor sit amet consectetur.</h3-->
469      </div>
470    </div>
471    <table style="width: 100%">
472      <tr>
473        <th width=130px> Activity type </th>
474        <th width=150px> Time </th>
475        <th width=400px> Activity </th>
476      </tr>
477      <tr>
478        <td width=130px> Opening remarks </td>
479        <td width=150px> 9:00 - 9:15 </td>
480        <td></td>
481      </tr>
482      <tr>
483        <td width=130px>Keynote I</td>
484        <td width=150px>9:15 - 10:05</td>
485        <td width=400px>Keynote I by Dr. Ridho Reinanda (45 min Talk + 5 min Q&A)</td>
486      </tr>
487      <tr>
488        <td width=130px>Invited talks</td>
489        <td width=150px>10:05 - 10:30</td>
490        <td width=400px>Invited talk by (1) Shubham Chatterjee (20 min Talk + 5 min Q&A)</td>
491      </tr>
492      <tr>
493        <td width=130px>Coffee break</td>
494        <td width=150px>10:30 - 11:00</td>
495        <td width=400px></td>
496      </tr>
497      <tr>
498        <td width=130px>Paper presentations</td>
499        <td width=150px>11:00 - 12:30</td>
500        <td width=400px>Accepted paper presentations (1-4) (each 15 min Talk + 5 min Q&A)</td>
501      </tr>
502      <tr>
503        <td width=130px>Lunch</td>
504        <td width=150px> 12:30 - 13:30</td>
505        <td></td>
506      </tr>
507      <tr>
508        <td width=130px>Keynote II</td>
509        <td width=150px>13:30 - 14:20</td>
510        <td width=400px>Keynote II Assoc. Prof. Zhaochun Ren (45 min Talk + 5 min Q&A)</td>
511      </tr>
512      <tr>
513        <td width=130px>Invited talks</td>
514        <td width=150px>14:20 - 15:10</td>
515        <td width=400px>Invited talks by (2) Paul Lerner and (3) Zeyuan Meng (each 20 min Talk + 5 min Q&A)</td>
516      </tr>
517      <tr>
518        <td width=130px>Coffee break</td>
519        <td width=150px>15:10 - 15:30</td>
520        <td width=400px></td>
521      </tr>
522      <tr>
523        <td width=130px>Invited talks</td>
524        <td width=150px>15:30 - 16:20</td>
525        <td width=400px>Invited talks by (4) Sara Abdollahi and (5) Erlend Frayling (each 20 min Talk + 5 min Q&A)
526        </td>
527      </tr>
528      <tr>
529        <td width=130px>Closing remarks</td>
530        <td width=150px>16:20 - 16:30</td>
531        <td width=400px></td>
532      </tr>
533    </table>
534  </div>
535</section>
536    <section id="organizer" class="bg-mid-gray">
537    <div class="container">
538        <div class="row">
539            <div class="col-lg-12 text-center" style="padding-bottom: 20px;">
540                <h2 class="section-heading">Workshop Organizers</h2>
541            </div>
542        </div>
543
544        <div class="row">
545            
546            
547            
548            <div class="col-sm-3">
549                <div class="team-member text-center"> <!-- Added text-center here for center alignment -->
550                    <img src="assets/img/zaiqiaomeng.jpg" class="img-responsive img-circle" alt="Dr. Zaiqiao Meng"
551                        width="600" height="600">
552                    <h4><a href="https://mengzaiqiao.github.io/">Dr. Zaiqiao Meng</a></h4>
553                    <p class="text-muted">Lecturer</p>
554                    <p class="text-muted">University of Glasgow</p>
555                </div>
556            </div>
557            
558            
559            
560            <div class="col-sm-3">
561                <div class="team-member text-center"> <!-- Added text-center here for center alignment -->
562                    <img src="assets/img/shangsongliang.jpg" class="img-responsive img-circle" alt="Dr. Shangsong Liang"
563                        width="600" height="600">
564                    <h4><a href="https://mbzuai.ac.ae/study/faculty/shangsong-liang/">Dr. Shangsong Liang</a></h4>
565                    <p class="text-muted">Assistant Professor</p>
566                    <p class="text-muted">MBZUAI</p>
567                </div>
568            </div>
569            
570            
571            
572            <div class="col-sm-3">
573                <div class="team-member text-center"> <!-- Added text-center here for center alignment -->
574                    <img src="assets/img/xinxin.jpg" class="img-responsive img-circle" alt="Dr. Xin Xin"
575                        width="600" height="600">
576                    <h4><a href="https://xinxin-me.github.io/">Dr. Xin Xin</a></h4>
577                    <p class="text-muted">Assistant Professor</p>
578                    <p class="text-muted">Shandong University</p>
579                </div>
580            </div>
581            
582            
583            
584            <div class="col-sm-3">
585                <div class="team-member text-center"> <!-- Added text-center here for center alignment -->
586                    <img src="assets/img/gianlucamoro.jpg" class="img-responsive img-circle" alt="Dr. Gianluca Moro"
587                        width="600" height="600">
588                    <h4><a href="https://www.unibo.it/sitoweb/gianluca.moro/en">Dr. Gianluca Moro</a></h4>
589                    <p class="text-muted">Associate Professor</p>
590                    <p class="text-muted">University of Bologna</p>
591                </div>
592            </div>
593            
594            
595            
596            <div class="col-sm-3">
597                <div class="team-member text-center"> <!-- Added text-center here for center alignment -->
598                    <img src="assets/img/evangeloskanoulas.jpeg" class="img-responsive img-circle" alt="Prof. Evangelos Kanoulas"
599                        width="600" height="600">
600                    <h4><a href="https://staff.fnwi.uva.nl/e.kanoulas/">Prof. Evangelos Kanoulas</a></h4>
601                    <p class="text-muted">Professor</p>
602                    <p class="text-muted">University of Amsterdam</p>
603                </div>
604            </div>
605            
606            
607            
608            <div class="col-sm-3">
609                <div class="team-member text-center"> <!-- Added text-center here for center alignment -->
610                    <img src="assets/img/emineyilmaz.jpeg" class="img-responsive img-circle" alt="Prof. Emine Yilmaz"
611                        width="600" height="600">
612                    <h4><a href="https://sites.google.com/site/emineyilmaz/home">Prof. Emine Yilmaz</a></h4>
613                    <p class="text-muted">Professor</p>
614                    <p class="text-muted">University College London</p>
615                </div>
616            </div>
617            
618            
619            
620            
621            
622            
623        </div>
624
625        <!-- Publicity Chairs Section -->
626        <div class="row">
627            <div class="col-lg-12 text-center" style="padding-top: 40px; padding-bottom: 20px;">
628                <h2 class="section-subheading">Publicity Chairs</h2>
629            </div>
630        </div>
631
632        <div class="row">
633            
634            
635            
636            
637            
638            
639            
640            
641            
642            
643            
644            
645            
646            
647            <div class="col-sm-3">
648                <div class="team-member text-center"> <!-- Added text-center here for center alignment -->
649                    <img src="assets/img/giacomo.jpeg" class="img-responsive img-circle" alt="Giacomo Frisoni"
650                        width="600" height="600">
651                    <h4><a href="https://scholar.google.com/citations?user=BEZlFiAAAAAJ&hl=en">Giacomo Frisoni</a></h4>
652                    <p class="text-muted">
652PhD. Student</p>
653                    <p class="text-muted">University of Bologna</p>
654                </div>
655            </div>
656            
657            
658            
659            <div class="col-sm-3">
660                <div class="team-member text-center"> <!-- Added text-center here for center alignment -->
661                    <img src="assets/img/jinyuan.jpg" class="img-responsive img-circle" alt="Jinyuan Fang"
662                        width="600" height="600">
663                    <h4><a href="https://scholar.google.com/citations?user=LOWJnPsAAAAJ&hl=en">Jinyuan Fang</a></h4>
664                    <p class="text-muted">PhD. Student</p>
665                    <p class="text-muted">University of Glasgow</p>
666                </div>
667            </div>
668            
669            
670        </div>
671
672    </div>
673</section>
674    <section id="contact">
675  <div class="container">
676    <div class="row">
677      <div class="col-lg-12 text-center">
678        <h2 class="section-heading">Contact</h2>
679        <!--h3 class="section-subheading text-muted">Lorem ipsum dolor sit amet consectetur.</h3-->
680      </div>
681    </div>
682    <div class="row text-justify text-center">
683      <div class="col-md-12 text-center">
684        <p class="large text-muted">
685          <a href="mailto:[email protected]">[email protected]</a>
686        </p>
687        <div class="large text-muted">
688          Copyright © KEIR@ECIR2024
689        </div>
690      </div>
691    </div>
692  </div>
693</section>
694
695    <!-- jQuery -->
696    
696<script src="assets/js/jquery.js"></script>
696
697
698    <!-- Bootstrap Core JavaScript -->
699    
699<script src="assets/js/bootstrap.min.js"></script>
699
700
701    <!-- Plugin JavaScript -->
702    
702<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery-easing/1.3/jquery.easing.min.js"></script>
702
703    
703<script src="assets/js/classie.js"></script>
703
704    
704<script src="assets/js/cbpAnimatedHeader.js"></script>
704
705
706    <!-- Contact Form JavaScript -->
707    
707<script src="assets/js/contact_me.js"></script>
707
708
709    <!-- Custom Theme JavaScript -->
710    
710<script src="assets/js/agency.js"></script>
710
711
712</body>
713
714</html>

Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.