updates

Author: gsvic

index.html

@@ -147,16 +147,16 @@ <h2>Projects</h2>
         <section id="publications" class="content section">
             <h2>Publications</h2>
             <ul>
-                <li>V. Giannakouris, I. Trummer, “λ-Tune: Harnessing Large Language Models for Automated Database System Tuning,” <em>(Under Review)</em> In proceedings of the 2025 ACM SIGMOD/PODS, International Conference on Management of Data, Guangzhou, China, Jun 2025.</li>
-                <li>V. Giannakouris, I. Trummer, “DBG-PT: A Large Language Model Assisted Query Performance Regression Debugger,” In proceedings of the VLDB 2024 Endowment, Guangzhou, China, Aug 2024.</li>
-                <li>V. Giannakouris, I. Trummer, “Demonstrating λ-Tune: Exploiting Large Language Models for Workload-Adaptive Database System Tuning,” In proceedings of the 2024 ACM SIGMOD/PODS, International Conference on Management of Data, Santiago, Chile, Jun 2024.</li>
-                <li>V. Giannakouris, I. Trummer, “Building learned federated query optimizers”, In proceedings of the VLDB 2022 Endowment (PhD Workshop), Sydney, Australia, Sep 2022.</li>
-                <li>V. Giannakouris, A. Fernandez, A. Simsitsis, and S. Babu, “Cost-Effective, Workload-Adaptive Migration of Big Data Applications to the Cloud,” In proceedings of the 2019 ACM SIGMOD/PODS, International Conference on Management of Data, Amsterdam, The Netherlands, Jun 2019.</li>
-                <li>V. Giannakouris, N. Papailiou, D. Tsoumakos, and N. Koziris, “MuSQLE: Distributed SQL Query Execution Over Multiple-Engine Environments,” In proceedings of the 2016 IEEE International Conference on Big Data (BigData 2016), Washington, DC, USA, Dec 2016.</li>
-                <li>K. Doka, N. Papailiou, V. Giannakouris, D. Tsoumakos and N. Koziris, “Mix ’n Match Multi-Engine Analytics,” In proceedings of the 2016 IEEE International Conference on Big Data (BigData 2016), Washington, DC, USA, Dec 2016.</li>
-                <li>K. Doka, M. Filatov, V. Giannakouris, V. Kantere, N. Koziris, C. Mantas, N. Papailiou, V. Papaioannou and D. Tsoumakos, “Optimizing, Planning and Executing Analytics Workflows over Multiple Engines.,” In the 1st International Workshop on Multi-Engine Data AnaLytics (MEDAL 2016), in conjunction with the EDBT Conference, Bordeaux, France, Dec 2016.</li>
-                <li>N. Papailiou, K. Doka, V. Giannakouris, V. Papaioannou, D. Tsoumakos and N. Koziris, “Robust and Adaptive Multi-Engine Analytics using IReS (demo paper),” In the 10th International Workshop on Enabling Real-Time Business Intelligence (BIRTE 2016), in conjunction with the VLDB Conference, New Delhi, India, Mar 2016.</li>
-                <li>V. Giannakouris, A. Plerou, and S. Sioutas, “CSMR: A Scalable Algorithm for Text Clustering with Cosine Similarity and MapReduce,” In the 10th International Conference on Artificial Intelligence Applications and Innovations, Rhodes, Greece, Sep 2014.</li>
+                <li><strong>V. Giannakouris</strong>, I. Trummer, “λ-Tune: Harnessing Large Language Models for Automated Database System Tuning,” <em>(Under Review)</em> In proceedings of the 2025 ACM SIGMOD/PODS, International Conference on Management of Data, Guangzhou, China, Jun 2025.</li>
+                <li><strong>V. Giannakouris</strong>, I. Trummer, “DBG-PT: A Large Language Model Assisted Query Performance Regression Debugger,” In proceedings of the VLDB 2024 Endowment, Guangzhou, China, Aug 2024.</li>
+                <li><strong>V. Giannakouris</strong>, I. Trummer, “Demonstrating λ-Tune: Exploiting Large Language Models for Workload-Adaptive Database System Tuning,” In proceedings of the 2024 ACM SIGMOD/PODS, International Conference on Management of Data, Santiago, Chile, Jun 2024.</li>
+                <li><strong>V. Giannakouris</strong>, I. Trummer, “Building learned federated query optimizers”, In proceedings of the VLDB 2022 Endowment (PhD Workshop), Sydney, Australia, Sep 2022.</li>
+                <li><strong>V. Giannakouris</strong>, A. Fernandez, A. Simsitsis, and S. Babu, “Cost-Effective, Workload-Adaptive Migration of Big Data Applications to the Cloud,” In proceedings of the 2019 ACM SIGMOD/PODS, International Conference on Management of Data, Amsterdam, The Netherlands, Jun 2019.</li>
+                <li><strong>V. Giannakouris</strong>, N. Papailiou, D. Tsoumakos, and N. Koziris, “MuSQLE: Distributed SQL Query Execution Over Multiple-Engine Environments,” In proceedings of the 2016 IEEE International Conference on Big Data (BigData 2016), Washington, DC, USA, Dec 2016.</li>
+                <li>K. Doka, N. Papailiou, <strong>V. Giannakouris</strong>, D. Tsoumakos and N. Koziris, “Mix ’n Match Multi-Engine Analytics,” In proceedings of the 2016 IEEE International Conference on Big Data (BigData 2016), Washington, DC, USA, Dec 2016.</li>
+                <li>K. Doka, M. Filatov, <strong>V. Giannakouris</strong>, V. Kantere, N. Koziris, C. Mantas, N. Papailiou, V. Papaioannou and D. Tsoumakos, “Optimizing, Planning and Executing Analytics Workflows over Multiple Engines.,” In the 1st International Workshop on Multi-Engine Data AnaLytics (MEDAL 2016), in conjunction with the EDBT Conference, Bordeaux, France, Dec 2016.</li>
+                <li>N. Papailiou, K. Doka, <strong>V. Giannakouris</strong>, V. Papaioannou, D. Tsoumakos and N. Koziris, “Robust and Adaptive Multi-Engine Analytics using IReS (demo paper),” In the 10th International Workshop on Enabling Real-Time Business Intelligence (BIRTE 2016), in conjunction with the VLDB Conference, New Delhi, India, Mar 2016.</li>
+                <li><strong>V. Giannakouris</strong>, A. Plerou, and S. Sioutas, “CSMR: A Scalable Algorithm for Text Clustering with Cosine Similarity and MapReduce,” In the 10th International Conference on Artificial Intelligence Applications and Innovations, Rhodes, Greece, Sep 2014.</li>
             </ul>
         </section>