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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
<meta name="description" content="Lab Website">
<meta name="author" content="Desmond C. Ong">
<title>
Computational and Affective Cognition Lab (CASCogLab)
</title>
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<section id="publications" style="padding: 20px 0 20px 0;" >
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For a complete list of Dr. Ong's publications, please see <a href="desmond/publications.html"><button class="btn btn-secondary btn-sm my-btn" type="button">here</button></a>.
</div>
<!-- <div>
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CASCogLab publications are grouped by year and sortable by lab member author and topic area.
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Remove Filters / Show All Lab Publications
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<br> <br>
Filter by Lab Member Author:
<button id="button-author-zhengxuan" class="btn btn-primary btn-sm my-btn" type="button">
Zhengxuan Wu
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Varsha Suresh
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Dennis Teo
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Hui Yan Lim
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Tan Zhi-Xuan
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Affective Cognition and Social Cognition
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Affective Computing
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Other AI-related papers
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<div class="collapse-pub-all collapse-pub-author-zhengxuan collapse-pub-author-dennis collapse-pub-topic-affComp">
<h4> Accepted / Forthcoming </h4>
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<div class="my-card">
<li>
<p class="hangingindent">
Goldenberg, A., Schöne, J., Huang, Z., Sweeny, T. D., Ong, D. C., Brady, T. F., Robinson, M. M., Levari, D., Zaki, J., & Gross, J. J. (in press). Amplification in the Evaluation of Emotional Expressions Over Time. <i>Nature Human Behaviour</i>.
</p> <p class="hangingindent-supplemental">
[<a href="https://psyarxiv.com/rfgy3/">
preprint
</a>]
[<a href="https://osf.io/krgcv/">
data and code
</a>]
</p>
</li>
</div>
</div> -->
<!-- <div class="collapse collapse-pub-all collapse-pub-topic-AffCog" id="pub-houlihanCogSciCausalInference">
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<li>
<p class="hangingindent">
Houlihan, S. D., Ong, D. C., Cusimano, M., & Saxe, R. (2022). Reasoning about the antecedents of emotions: Bayesian causal inference over an intuitive theory of mind. In <i>Proceedings of the 44th Annual Meeting of the Cognitive Science Society</i>.
</p> <p class="hangingindent-supplemental">
[ pdf ]
</p>
</li>
</div>
</div> -->
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Suresh, V., & Ong, D. C. (2022). Using Positive Matching Contrastive Loss with Facial Action Units to mitigate bias in Facial Expression Recognition. In <i>Proceedings of the 10th International Conference on Affective Computing and Intelligent Interaction (ACII 2022)</i>.
</p> <p class="hangingindent-supplemental">
[ pdf ]
</p>
</li>
</div>
</div>
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<div class="my-card">
<li>
<p class="hangingindent">
Teo, D., Ang, Z. Y., & Ong, D. C. (2022). Modeling Causal Inference from Emotional Displays. In <i>Proceedings of the 44th Annual Meeting of the Cognitive Science Society</i>.
</p> <p class="hangingindent-supplemental">
[<a href="https://escholarship.org/uc/item/3w06g892">
link to proceedings
</a>]
</p>
</li>
</div>
</div>
<div class="collapse-pub-all collapse-pub-author-zhengxuan collapse-pub-author-huiyan collapse-pub-author-dennis collapse-pub-author-varsha collapse-pub-author-zhixuan collapse-pub-topic-affCog collapse-pub-topic-affComp collapse-pub-topic-ai">
<br>
<h4> 2021 </h4>
</div>
<div class="collapse-pub-all collapse-pub-author-zhengxuan collapse-pub-topic-affComp">
<li>
<p class="hangingindent">
Nguyen, T.-S., Wu, Z., & Ong, D. C. (2021). Attention Uncovers Task-Relevant Semantics in Emotional Narrative Understanding. <i>Knowledge-Based Systems</i>, 226, 107162.
</p> <p class="hangingindent-supplemental">
[<a href="http://desmond-ong.github.io/pubs/2021_KBS_Nguyen_et_al_preprint.pdf">
pdf
</a>]
[<a href="https://authors.elsevier.com/sd/article/S0950-7051(21)00425-1">
journal website
</a>]
</p>
</li>
</div>
<div class="collapse-pub-all collapse-pub-topic-affComp">
<li>
<p class="hangingindent">
Ong, D. C. (2021). An Ethical Framework for Guiding the Development of Affectively-Aware Artificial Intelligence. In <i>Proceedings of the 9th International Conference on Affective Computing and Intelligent Interaction (ACII 2021). [Oral Presentation and <b>Best Paper Award</b>]</i>
</p> <p class="hangingindent-supplemental">
[<a href="http://desmond-ong.github.io/pubs/2021_ACII_Ethics.pdf">
pdf
</a>]
[<a href="http://arxiv.org/abs/2107.13734">
arXiv
</a>]
</p>
</li>
</div>
<div class="collapse-pub-all collapse-pub-author-huiyan collapse-pub-topic-affCog">
<li>
<p class="hangingindent">
Ong, D. C., Asaba, M., Lim, H. Y., Chen, P., & Gweon, H. (2021). "If only Santa had one more present": Exploring the development of near-miss counterfactual reasoning. In <i>Proceedings of the 43rd Annual Meeting of the Cognitive Science Society</i>.
</p> <p class="hangingindent-supplemental">
[<a href="http://desmond-ong.github.io/pubs/2021_CogSci_Child_Counterfactual_Reasoning.pdf">
pdf
</a>]
[<a href="https://osf.io/urwds">
OSF: pre-registration, code, data
</a>]
</p>
</li>
</div>
<div class="collapse-pub-all collapse-pub-topic-affComp">
<li>
<p class="hangingindent">
Ong, D. C., Soh, H., Zaki, J., & Goodman, N. D. (2021). Applying Probabilistic Programming to Affective Computing. <i>IEEE Transactions on Affective Computing</i>, 12(2), 306-317.
</p> <p class="hangingindent-supplemental">
[<a href="http://desmond-ong.github.io/pubs/2019_TAC_probprog.pdf">
pre-print
</a>]
[<a href="https://arxiv.org/abs/1903.06445">
arXiv
</a>]
[<a href="https://ieeexplore.ieee.org/document/8667687">
journal website
</a>]
<br>
Material from this paper was presented as a <a href="https://desmond-ong.github.io/pplAffComp/">Tutorial</a> at <i>Affective Computing and Intelligent Interaction</i>, in Cambridge, UK, September 2019: <br>
Ong, D. C., Tan, Z.-X., Soh, H., Zaki, J., & Goodman, N. D. (2019). "Integrating Theory-Driven and Data-Driven Approaches to Affective Computing via Deep Probabilistic Programming".
<br>
and at a Tutorial at A*STAR, Singapore, June 2018. <br>
Ong, D. C., & Goodman, N. D. (2018). "Applying Probabilistic Programming to building Human-Centric AI Technologies".
</p>
</li>
</div>
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<p class="hangingindent">
Ong, D. C., Wu, Z., Zhi-Xuan, T., Reddan, M., Kahhale, I., Mattek, A., & Zaki, J. (2021). Modeling emotion in complex stories: the Stanford Emotional Narratives Dataset. <i>IEEE Transactions on Affective Computing</i>, 12(3), 579-594.
</p> <p class="hangingindent-supplemental">
[<a href="http://desmond-ong.github.io/pubs/2019_TAC_SEND.pdf">
pre-print
</a>]
[<a href="https://arxiv.org/abs/1912.05008">
arXiv
</a>]
[<a href="https://dx.doi.org/10.1109/TAFFC.2019.2955949">
journal website
</a>]
[<a href="https://github.com/desmond-ong/TAC-EA-model">
GitHub (code)
</a>]
[<a href="https://github.com/StanfordSocialNeuroscienceLab/SEND">
dataset information
</a>]
</p>
</li>
</div>
<div class="collapse-pub-all collapse-pub-author-varsha collapse-pub-topic-affComp">
<li>
<p class="hangingindent">
Suresh, V., & Ong, D. C. (2021). Using Knowledge-Embedded Attention to Augment Pre-trained Language Models for Fine-Grained Emotion Recognition. In <i>Proceedings of the 9th International Conference on Affective Computing and Intelligent Interaction (ACII 2021). [Oral Presentation]</i>
</p> <p class="hangingindent-supplemental">
[<a href="http://arxiv.org/abs/2108.00194">
arXiv
</a>]
</p>
</li>
</div>
<div class="collapse-pub-all collapse-pub-author-varsha collapse-pub-topic-affComp">
<li>
<p class="hangingindent">
Suresh, V., & Ong, D. C. (2021). Not all negatives are equal: Label-Aware Constrastive Loss for fine-grained text classification. In <i>Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021)</i>.
</p> <p class="hangingindent-supplemental">
[
arXiv
]
[
Github
]
</p>
</li>
</div>
<div class="collapse-pub-all collapse-pub-author-dennis collapse-pub-topic-affCog">
<li>
<p class="hangingindent">
Teo, D. & Ong, D. C. (2021). Learning from Agentic Actions: Modelling Causal Inference from Intention. In <i>Proceedings of the 43rd Annual Meeting of the Cognitive Science Society</i>.
</p> <p class="hangingindent-supplemental">
[<a href="http://desmond-ong.github.io/pubs/2021_CogSci_CausalLearning.pdf">
pdf
</a>]
[<a href="https://github.com/dennisteowh/agenticaction">
GitHub
</a>]
</p>
</li>
</div>
<div class="collapse-pub-all collapse-pub-author-zhengxuan collapse-pub-topic-ai">
<li>
<p class="hangingindent">
Wu, Z., Kreiss, E., Ong, D. C., & Potts, C. G. (2021). ReaSCAN: Compositional Reasoning in Language Grounding. In <i>Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks (NeurIPS 2021)</i>
</p> <p class="hangingindent-supplemental">
[
arXiv
]
[
link to proceedings
]
[
GitHub
]
</p>
</li>
</div>
<div class="collapse-pub-all collapse-pub-author-zhengxuan collapse-pub-topic-ai">
<li>
<p class="hangingindent">
Wu, Z., & Ong, D. C. (2021). Pragmatically Informative Color Generation by Grounding Contextual Modifiers. In <i>Proceedings of the Society for Computation in Linguistics</i>: 4(54).
</p> <p class="hangingindent-supplemental">
[<a href="https://arxiv.org/abs/2010.04372">
arXiv
</a>]
[<a href="https://scholarworks.umass.edu/scil/vol4/iss1/54">
link to proceedings
</a>]
[<a href="https://github.com/frankaging/Pragmatic-Color-Generation">
GitHub
</a>]
</p>
</li>
</div>
<div class="collapse-pub-all collapse-pub-author-zhengxuan collapse-pub-topic-ai">
<li>
<p class="hangingindent">
Wu, Z., & Ong, D. C. (2021). Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis. In <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>, 35(16), 14094-14102.
</p> <p class="hangingindent-supplemental">
[<a href="https://arxiv.org/abs/2010.07523">
arXiv
</a>]
[<a href="https://ojs.aaai.org/index.php/AAAI/article/view/17659">
link to proceedings
</a>]
[<a href="https://github.com/frankaging/Quasi-Attention-ABSA">
GitHub
</a>]
</p>
</li>
</div>
<div class="collapse-pub-all collapse-pub-author-zhengxuan collapse-pub-author-zhixuan collapse-pub-topic-affComp collapse-pub-topic-ai">
<br>
<h4> 2020 </h4>
</div>
<div class="collapse-pub-all collapse-pub-author-zhengxuan collapse-pub-topic-affComp">
<li>
<p class="hangingindent">
Wu, Z., Nguyen, T.-S., & Ong, D. C. (2020). Structured Self-Attention Weights Encodes Semantics in Sentiment Analysis. In <i>Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP</i>, 255-264.
</p> <p class="hangingindent-supplemental">
[<a href="https://www.aclweb.org/anthology/2020.blackboxnlp-1.24.pdf">
pdf
</a>]
[<a href="https://www.aclweb.org/anthology/2020.blackboxnlp-1.24/">
ACL Anthology website
</a>]
[<a href="https://github.com/frankaging/LAT_for_Transformer">
GitHub
</a>]
<br>
</p>
</li>
</div>
<div class="collapse-pub-all collapse-pub-author-zhixuan collapse-pub-topic-ai">
<li>
<p class="hangingindent">
Zhi-Xuan, T., Soh, H., & Ong, D. C. (2020). Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series. In <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>, 34(06), 10334-10341.
</p> <p class="hangingindent-supplemental">
[<a href="https://arxiv.org/abs/1905.13570">
arXiv
</a>]
[<a href="https://ojs.aaai.org//index.php/AAAI/article/view/6597">
link to proceedings
</a>]
[<a href="https://github.com/ztangent/multimodal-dmm">
GitHub
</a>]
<br>
[ Oral presentation by Zhi-Xuan, T.: <a href="https://docs.google.com/presentation/d/1J_zXBhslNrdyAUczlHA8IzpUQExh-kAAOWPY6D9QQDg/">talk slides</a> ] [ <a href="http://desmond-ong.github.io/pubs/2020_AAAI_poster.pdf">poster pdf</a> ] [ Oral acceptance rate: 5.9% (454/7737), overall acceptance rate: 20.56% ]
</p>
</li>
</div>
<div class="collapse-pub-all collapse-pub-author-zhengxuan collapse-pub-author-zhixuan collapse-pub-topic-affCog collapse-pub-topic-affComp ">
<br>
<h4> 2019 </h4>
</div>
<div class="collapse-pub-all collapse-pub-topic-affCog">
<div>
<li>
<p class="hangingindent">
Ong, D. C., Zaki, J., & Goodman, N. D. (2019). Computational models of emotion inference in Theory of Mind: A review and roadmap. <i>Topics in Cognitive Science</i>. 11(2), 338-357.
</p><p class="hangingindent-supplemental">
[<a href="http://desmond-ong.github.io/pubs/2019_topiCS_ToEReview.pdf">
pdf
</a>]
[<a href="http://dx.doi.org/10.1111/tops.12371">
journal website
</a>]
</p>
</li>
</div>
</div>
<div class="collapse-pub-all collapse-pub-topic-affCog">
<div>
<li>
<p class="hangingindent">
Asaba, M.*, Ong, D. C.*, & Gweon, H. (2019). Integrating expectations and outcomes: Preschoolers' developing ability to reason about others' emotions. <i>Developmental Psychology</i>, 55(8), 1680-1693.
<br>
* equal contribution
</p> <p class="hangingindent-supplemental">
[<a href="http://desmond-ong.github.io/pubs/2019_DevPsych_IntegratingExpectations.pdf">
pdf
</a>]
[<a href="https://psyarxiv.com/782uq/">
PsyArXiv
</a>]
[<a href="https://osf.io/wakbu/">
repository
</a>]
[<a href="https://psycnet.apa.org/record/2019-26060-001">
journal website
</a>]
</p>
</li>
</div>
</div>
<div class="collapse-pub-all collapse-pub-author-zhengxuan collapse-pub-author-zhixuan collapse-pub-topic-affComp">
<div>
<li>
<p class="hangingindent">
Wu, Z., Zhang, X., Zhi-Xuan, T., Zaki, J. & Ong, D. C. (2019). Attending to Emotional Narratives. In <i>Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction (ACII 2019)</i>.
</p> <p class="hangingindent-supplemental">
[<a href="https://arxiv.org/abs/1907.04197">
arXiv
</a>]
[<a href="https://github.com/frankaging/ACII2019-transformer">
GitHub
</a>]
<br>
[ Oral presentation by Ong, D. C.: <a href="http://desmond-ong.github.io/pubs/2019_ACII_Talk.pdf">talk slides</a> ]
</p>
</li>
</div>
</div>
<div class="collapse-pub-all collapse-pub-author-zhixuan collapse-pub-topic-affCog">
<div>
<li>
<p class="hangingindent">
Tan, Z.-X. & Ong, D. C. (2019). Bayesian Inference of Social Norms as Shared Constraints on Behavior. In <i>Proceedings of the 41st Annual Meeting of the Cognitive Science Society</i>, 2919-2925.
</p> <p class="hangingindent-supplemental">
[<a href="http://desmond-ong.github.io/pubs/2019_CogSci_Norms_bayesian_inference_of_social_norms.pdf">
pdf
</a>]
[<a href="https://arxiv.org/abs/1905.11110">
arXiv
</a>]
[<a href="https://github.com/ztangent/norms-cogsci19">
GitHub
</a>]
</p>
</li>
</div>
</div>
<div class="collapse-pub-all collapse-pub-author-zhixuan collapse-pub-topic-affComp">
<div>
<li>
<p class="hangingindent">
Tan, Z. X.*, Goel, A.*, Nguyen, T.-S.*, & Ong, D. C. (2019). A Multimodal LSTM for Predicting Listener Empathic Responses over time. Presented at the <i>OMG-Empathy Challenge workshop at the 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG) 2019.</i>
<br>
* equal contribution
</p><p class="hangingindent-supplemental">
[<a href="https://arxiv.org/abs/1812.04891"> arXiv </a>]
</p>
</li>
</div>
</div>
<div class="collapse-pub-all collapse-pub-topic-affCog">
<br>
<h4 style="display:inline"> Selected relevant publications from before 2018 </h4> <p style="display:inline">(For a full list, please see <a href="https://desmond-ong.github.io/publications.html">here</a>.)</p>
<br><br>
</div>
<div class="collapse-pub-all collapse-pub-topic-affCog">
<li>
<p class="hangingindent">
Ong, D. C., Goodman, N. D., & Zaki, J. (2018). Happier than thou? A self-enhancement bias in emotion attribution. <i>Emotion</i>, 18(1), 116-126.
</p><p class="hangingindent-supplemental">
[<a href="http://desmond-ong.github.io/pubs/2018_Emotion_PsychDistance.pdf">
pdf
</a>]
[<a href="http://desmond-ong.github.io/emotionPsychDistance/">
supporting data and materials
</a>]
[<a href="http://psycnet.apa.org/psycinfo/2017-16353-001/">
journal website
</a>]
</p>
</li>
</div>
<div class="collapse-pub-all collapse-pub-topic-affCog">
<li>
<p class="hangingindent">
Morelli, S. A., Ong, D. C., Makati, R., Jackson, M. O., & Zaki, J. (2017). Empathy and well-being correlate with centrality in different social networks. <i>Proceedings of the National Academy of Sciences</i>, 114(37), 9843-9847.
</p><p class="hangingindent-supplemental">
[<a href="http://desmond-ong.github.io/pubs/2017_PNAS_Morelli_EmpathySocialNetworks.pdf">
pdf
</a>]
[<a href="http://desmond-ong.github.io/pubs/2017_PNAS_Morelli_Supplemental.pdf">
supplemental materials
</a>]
[<a href="https://doi.org/10.5281/zenodo.821788">
supporting data and materials
</a>]
[<a href="http://www.pnas.org/content/114/37/9843.abstract">
journal website
</a>]
</p>
</li>
</div>
<div class="collapse-pub-all collapse-pub-topic-affCog">
<li>
<p class="hangingindent">
Ong, D. C., Zaki, J., & Goodman, N. D. (2015). Affective Cognition: Exploring lay theories of emotion. <i>Cognition</i>, 143, 141-162.
</p><p class="hangingindent-supplemental">
[<a href="http://desmond-ong.github.io/pubs/2015_Affective_Cognition.pdf">
pdf
</a>]
[<a href="http://desmond-ong.github.io/affCog/">
supporting data and materials
</a>]
[<a href="http://www.sciencedirect.com/science/article/pii/S0010027715300196">
journal website
</a>]
</p>
</li>
</div>
</ul>
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