Understanding Affective Cognition: Frontiers in modeling reasoning about others' emotions. - Desmond C. Ong; Jamil Zaki; Noah D. Goodman (CogSci, 2014)

Near-misses sting even when they are uncontrollable. - Desmond C. Ong; Noah D. Goodman; Jamil Zaki (CogSci, 2015)

Young children and adults integrate past expectations and current outcomes to reason about others' emotions. - Desmond C. Ong; Mika Asaba; Hyowon Gweon (CogSci, 2016)

Emotions in lay explanations of behavior. - Desmond C. Ong; Jamil Zaki; Noah D. Goodman (CogSci, 2016)

Attending to Emotional Narratives. - Zhengxuan Wu; Xiyu Zhang; Zhi-Xuan Tan; Jamil Zaki; Desmond C. Ong (ACII, 2019)

Bayesian Inference of Social Norms as Shared Constraints on Behavior. - Zhi-Xuan Tan; Desmond C. Ong (CogSci, 2019)

A Multimodal LSTM for Predicting Listener Empathic Responses Over Time. - Zhi-Xuan Tan; Arushi Goel; Thanh-Son Nguyen 001; Desmond C. Ong (FG, 2019)

Robot Capability and Intention in Trust-Based Decisions Across Tasks. - Yaqi Xie 001; Indu P. Bodala; Desmond C. Ong; David Hsu; Harold Soh (HRI, 2019)

Computational Models of Emotion Inference in Theory of Mind: A Review and Roadmap. - Desmond C. Ong; Jamil Zaki; Noah D. Goodman (Top. Cogn. Sci., 2019)

Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series. - Zhi-Xuan Tan; Harold Soh; Desmond C. Ong (AAAI, 2020)

Structured Self-AttentionWeights Encode Semantics in Sentiment Analysis. - Zhengxuan Wu; Thanh-Son Nguyen 001; Desmond C. Ong (BlackboxNLP@EMNLP, 2020)

Improving Multi-Agent Cooperation using Theory of Mind. - Terence X. Lim; Sidney Tio; Desmond C. Ong (CogSci, 2020)

Intention Inference in a Dynamic Multi-Goal Environment. - Desmond C. Ong; Marie Therese Quieta; Basura Fernando (CogSci, 2020)

Pragmatically Informative Color Generation by Grounding Contextual Modifiers. - Zhengxuan Wu; Desmond C. Ong (CoRR, 2020)

Structured Self-Attention Weights Encode Semantics in Sentiment Analysis. - Zhengxuan Wu; Thanh-Son Nguyen 001; Desmond C. Ong (CoRR, 2020)

Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis. - Zhengxuan Wu; Desmond C. Ong (AAAI, 2021)

An Ethical Framework for Guiding the Development of Affectively-Aware Artificial Intelligence. - Desmond C. Ong (ACII, 2021)

Using Knowledge-Embedded Attention to Augment Pre-trained Language Models for Fine-Grained Emotion Recognition. - Varsha Suresh; Desmond C. Ong (ACII, 2021)

"If only Santa had one more present": Exploring the development of near-miss counterfactual reasoning. - Desmond C. Ong; Mika Asaba; Hui Yan Lim; Patricia Chen; Hyowon Gweon (CogSci, 2021)

Learning from Agentic Actions: Modelling Causal Inference from Intention. - Dennis W. H. Teo; Desmond C. Ong (CogSci, 2021)

Interdisciplinary Advances in Affective Cognition. - Yang Wu; Desmond C. Ong; Hyowon Gweon (CogSci, 2021)

Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification. - Varsha Suresh; Desmond C. Ong (EMNLP (1), 2021)

Human-AI Collaboration in Healthcare: A Review and Research Agenda. - Yi Lai; Atreyi Kankanhalli; Desmond C. Ong (HICSS, 2021)

ReaSCAN: Compositional Reasoning in Language Grounding. - Zhengxuan Wu; Elisa Kreiss; Desmond C. Ong; Christopher Potts (NeurIPS Datasets and Benchmarks, 2021)

On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification. - Zhengxuan Wu; Desmond C. Ong (CoRR, 2021)

A Systematic Evaluation of Domain Adaptation in Facial Expression Recognition. - Yan San Kong; Varsha Suresh; Jonathan Soh; Desmond C. Ong (CoRR, 2021)

Attention uncovers task-relevant semantics in emotional narrative understanding. - Thanh-Son Nguyen 001; Zhengxuan Wu; Desmond C. Ong (Knowl. Based Syst., 2021)

Applying Probabilistic Programming to Affective Computing. - Desmond C. Ong; Harold Soh; Jamil Zaki; Noah D. Goodman (IEEE Trans. Affect. Comput., 2021)

Modeling Emotion in Complex Stories: The Stanford Emotional Narratives Dataset. - Desmond C. Ong; Zhengxuan Wu; Zhi-Xuan Tan; Marianne Reddan; Isabella Kahhale; Alison Mattek; Jamil Zaki (IEEE Trans. Affect. Comput., 2021)

Using Positive Matching Contrastive Loss with Facial Action Units to mitigate bias in Facial Expression Recognition. - Varsha Suresh; Desmond C. Ong (ACII, 2022)

Reasoning about the antecedents of emotions: Bayesian causal inference over an intuitive theory of mind. - Sean Dae Houlihan; Desmond C. Ong; Maddie Cusimano; Rebecca Saxe (CogSci, 2022)

Modeling Causal Inference from Emotional Displays. - Dennis W. H. Teo; Zheng Yong Ang; Desmond C. Ong (CogSci, 2022)

Evaluating Subjective Cognitive Appraisals of Emotions from Large Language Models. - Hongli Zhan; Desmond C. Ong; Junyi Jessy Li (EMNLP (Findings), 2023)

Large Language Models Produce Responses Perceived to be Empathic. - Yoon Kyung Lee; Jina Suh; Hongli Zhan; Junyi Jessy Li; Desmond C. Ong (ACII, 2024)

Large Language Models are Capable of Offering Cognitive Reappraisal, if Guided. - Hongli Zhan; Allen Zheng; Yoon Kyung Lee; Jina Suh; Junyi Jessy Li; Desmond C. Ong (CoRR, 2024)

GPT-ology, Computational Models, Silicon Sampling: How should we think about LLMs in Cognitive Science? - Desmond C. Ong (CoRR, 2024)

Human-like Affective Cognition in Foundation Models. - Kanishk Gandhi; Zoe Lynch; Jan-Philipp Fränken; Kayla Patterson; Sharon Wambu; Tobias Gerstenberg; Desmond C. Ong; Noah D. Goodman (CoRR, 2024)

Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers. - Jared Moore; Declan Grabb; William Agnew; Kevin Klyman; Stevie Chancellor; Desmond C. Ong; Nick Haber (FAccT, 2025)

Editorial. - Rachael E. Jack; Desmond C. Ong; Khiet Truong; Gale M. Lucas; Shiro Kumano (IEEE Trans. Affect. Comput., 2025)

Modeling Subjectivity in Cognitive Appraisal with Language Models. - Yuxiang Zhou; Hainiu Xu; Desmond C. Ong; Petr Slovák; Yulan He 001 (CoRR, 2025)