update conferences

index.html

@@ -9,5 +9,5 @@
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-I am a research fellow at <a href="https://cde.nus.edu.sg/dbe/">National University of Singapore</a>, working in the <a href="https://ideaslab.io/"> the Lab of Integrated Data, Energy Analysis + Simulation (IDEAS)</a>, led by <a href="https://cde.nus.edu.sg/dbe/wp-content/uploads/sites/26/2023/02/Staff-Resume-Dr-Adrian-Chong.pdf">Dr. Adrian Chong</a>. My work is centered around buildings, where we spend over 90% of our daily lives. Pursuing a more intelligent and energy-efficient built environment, my research interest lies in the intersection of building science and cutting-edge computational technology, including machine learning, physics-based simulation, and optimization. <a href="/aboutme">[More about me]</a><br>
+I am a research fellow at <a href="https://cde.nus.edu.sg/dbe/">National University of Singapore</a>, working in the <a href="https://ideaslab.io/"> Lab of Integrated Data, Energy Analysis + Simulation (IDEAS)</a>, led by <a href="https://cde.nus.edu.sg/dbe/wp-content/uploads/sites/26/2023/02/Staff-Resume-Dr-Adrian-Chong.pdf">Dr. Adrian Chong</a>. My work is centered around buildings, where we spend over 90% of our daily lives. Pursuing a more intelligent and energy-efficient built environment, my research interest lies in the intersection of building science and cutting-edge computational technology, including machine learning, physics-based simulation, and optimization. <a href="/aboutme">[More about me]</a><br>
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presentations.md

@@ -29,22 +29,22 @@ A Virtual Testbed for Robust and Reproducible Calibration of Building Energy Sim
 *Building Simulation 2023, Sept 2023*[[Slides]](/assets/slides/1482.pdf){: .btn}[[Paper]](/assets/pdf/1482_Zhan.pdf){: .btn}
 
 Comparing model predictive control and reinforcement learning for the optimal operation of building-PV-battery systems<br>
-*IAQVEC 2023, May 2023*[[Slides]](/assets/slides/iaqvec2023.pdf){: .btn}
+*IAQVEC 2023, May 2023*[[Slides]](/assets/slides/iaqvec2023.pdf){: .btn}[[Paper]](/assets/pdf/e3sconf_iaqvec2023_04018.pdf){: .btn}
 
 Reimagining Digital Twins: an Active-Learning Approach to Calibrating Models for Complex Systems<br>
-*GYSS 2023, Jan 2023*[[Slides]](/assets/pdf/gyss.pdf){: .btn}
+*GYSS 2023, Jan 2023*[[Poster]](/assets/pdf/gyss.pdf){: .btn}
 
 From Model-Centric to Data-Centric: A Practical MPC Implementation Framework for Buildings<br>
-*BuildSys 2022, Nov 2022*[[Slides]](/assets/slides/Buildsys22.pdf){: .btn}
+*BuildSys 2022, Nov 2022*[[Slides]](/assets/slides/Buildsys22.pdf){: .btn}[[Paper]](/assets/pdf/3563357.3564077.pdf){: .btn}
 
 Meta-Learned Bayesian Optimization for Calibrating Building Simulation Models with Multi-Source Data<br>
-*NeurIPS 2021 CCAI Workshop, Dec 2021*[[Slides]](/assets/slides/2021_NeurIPSW_CCAI_MetaANPBO.pdf){: .btn}
+*NeurIPS 2021 CCAI Workshop, Dec 2021*[[Slides]](/assets/slides/2021_NeurIPSW_CCAI_MetaANPBO.pdf){: .btn}[[Paper]](/assets/pdf/metaBO_conf.pdf){: .btn}
 
 Data Requirements and Performance Evaluation for Control-Oriented Models: a Case Study on Internal Heat Gain<br>
-*Building Simulation 2021, Sept 2021*[[Slides]](/assets/slides/bs2021.pdf){: .btn}
+*Building Simulation 2021, Sept 2021*[[Slides]](/assets/slides/bs2021.pdf){: .btn}[[Paper]](/assets/pdf/BS2021.pdf){: .btn}
 
 A Robust Unsupervised Framework for High-Resolution Building Energy Consumption Profiling<br>
-*Building Simulation 2019, Sept 2019*[[Slides]](/assets/slides/BS2019_10994.pdf){: .btn}
+*Building Simulation 2019, Sept 2019*[[Slides]](/assets/slides/BS2019_10994.pdf){: .btn}[[Paper]](/assets/pdf/BS2019_210994.pdf){: .btn}
 
 A Text Mining Framework to Map BMS Data to BEM<br>
 *ASIM 2018, Dec 2018*[[Slides]](/assets/slides/forASIM.pdf){: .btn}