Desmond C. Ong

Orcid: 0000-0002-6781-8072

Affiliations:
  • University of Texas at Austin, Department of Psychology, TX, USA
  • National University of Singapore, Institute of High Performance Computing, Singapore (former)


According to our database1, Desmond C. Ong authored at least 37 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Human-like Affective Cognition in Foundation Models.
CoRR, 2024

GPT-ology, Computational Models, Silicon Sampling: How should we think about LLMs in Cognitive Science?
CoRR, 2024

Large Language Models are Capable of Offering Cognitive Reappraisal, if Guided.
CoRR, 2024

Large Language Models Produce Responses Perceived to be Empathic.
CoRR, 2024

2023
Evaluating Subjective Cognitive Appraisals of Emotions from Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Modeling Causal Inference from Emotional Displays.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Reasoning about the antecedents of emotions: Bayesian causal inference over an intuitive theory of mind.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Using Positive Matching Contrastive Loss with Facial Action Units to mitigate bias in Facial Expression Recognition.
Proceedings of the 10th International Conference on Affective Computing and Intelligent Interaction, 2022

2021
Modeling Emotion in Complex Stories: The Stanford Emotional Narratives Dataset.
IEEE Trans. Affect. Comput., 2021

Applying Probabilistic Programming to Affective Computing.
IEEE Trans. Affect. Comput., 2021

Attention uncovers task-relevant semantics in emotional narrative understanding.
Knowl. Based Syst., 2021

A Systematic Evaluation of Domain Adaptation in Facial Expression Recognition.
CoRR, 2021

On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification.
CoRR, 2021

ReaSCAN: Compositional Reasoning in Language Grounding.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Human-AI Collaboration in Healthcare: A Review and Research Agenda.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Interdisciplinary Advances in Affective Cognition.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Learning from Agentic Actions: Modelling Causal Inference from Intention.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

"If only Santa had one more present": Exploring the development of near-miss counterfactual reasoning.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Using Knowledge-Embedded Attention to Augment Pre-trained Language Models for Fine-Grained Emotion Recognition.
Proceedings of the 9th International Conference on Affective Computing and Intelligent Interaction, 2021

An Ethical Framework for Guiding the Development of Affectively-Aware Artificial Intelligence.
Proceedings of the 9th International Conference on Affective Computing and Intelligent Interaction, 2021

Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Structured Self-Attention Weights Encode Semantics in Sentiment Analysis.
CoRR, 2020

Pragmatically Informative Color Generation by Grounding Contextual Modifiers.
CoRR, 2020

Intention Inference in a Dynamic Multi-Goal Environment.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Improving Multi-Agent Cooperation using Theory of Mind.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Structured Self-AttentionWeights Encode Semantics in Sentiment Analysis.
Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020

Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Computational Models of Emotion Inference in Theory of Mind: A Review and Roadmap.
Top. Cogn. Sci., 2019

Robot Capability and Intention in Trust-Based Decisions Across Tasks.
Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction, 2019

A Multimodal LSTM for Predicting Listener Empathic Responses Over Time.
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

Bayesian Inference of Social Norms as Shared Constraints on Behavior.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Attending to Emotional Narratives.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019

2016
Emotions in lay explanations of behavior.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Young children and adults integrate past expectations and current outcomes to reason about others' emotions.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015
Near-misses sting even when they are uncontrollable.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014
Understanding Affective Cognition: Frontiers in modeling reasoning about others' emotions.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014


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