Hongjing Lu

According to our database, Hongjing Lu authored at least 65 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Transformability, generalizability, but limited diffusibility: Comparing global vs. task-specific language representations in deep neural networks.

Yanru Jiang, Rick Dale, Hongjing Lu

Cogn. Syst. Res., January, 2024

2023

Two Computational Approaches to Visual Analogy: Task-Specific Models Versus Domain-General Mapping.

Nicholas Ichien, Qing Liu, Shuhao Fu, Keith J. Holyoak, Alan L. Yuille, Hongjing Lu

Cogn. Sci., September, 2023

Transfer Learning and Analogical Inference: A Critical Comparison of Algorithms, Methods, and Applications.

Kara Combs, Hongjing Lu, Trevor J. Bihl

Algorithms, March, 2023

Human similarity judgments of emojis support alignment of conceptual systems across modalities.

Bryor Snefjella, Yiling Yun, Shuhao Fu, Hongjing Lu

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Mapping between the Human Visual System and Two-stream DCNNs in Action Representation.

Yujia Peng, Xizi Gong, Hongjing Lu, Fang Fang

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Human Relational Concept Learning on the Synthetic Visual Reasoning Test.

Andrew Jun Lee, Hongjing Lu, Keith J. Holyoak

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Asymmetry in similarity and difference judgments results from asymmetry in the complexity of the relations same and different.

Nicholas Ichien, Nyusha Lin, Keith J. Holyoak, Hongjing Lu

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022

In situ bidirectional human-robot value alignment.

Luyao Yuan, Xiaofeng Gao, Zilong Zheng, Mark Edmonds, Ying Nian Wu, Federico Rossano, Hongjing Lu, Yixin Zhu, Song-Chun Zhu

Sci. Robotics, 2022

Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration.

Xiaofeng Gao, Luyao Yuan, Tianmin Shu, Hongjing Lu, Song-Chun Zhu

IEEE Robotics Autom. Lett., 2022

Emergent Analogical Reasoning in Large Language Models.

Taylor W. Webb, Keith J. Holyoak, Hongjing Lu

CoRR, 2022

Zero-shot visual reasoning through probabilistic analogical mapping.

Taylor W. Webb, Shuhao Fu, Trevor Bihl, Keith J. Holyoak, Hongjing Lu

CoRR, 2022

Causal versus Associative Relations: Do Humans Perceive and Represent Them Differently?

Icy (Yunyi) Zhang, Shuhao Fu, Alice (Zhongrui) Xu, Hongjing Lu

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Predicting Human Judgments of Relational Similarity: A Comparison of Computational Models Based on Vector Representations of Meaning.

Bryor Snefjella, Nicholas Ichien, Keith J. Holyoak, Hongjing Lu

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Impact of Semantic Representations on Analogical Mapping with Transitive Relations.

Bryce Linford, Nicholas Ichien, Keith J. Holyoak, Hongjing Lu

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Children's Acquisition of the Concept of Antonym Across Different Lexical Classes.

Amalia Ionescu, Hongjing Lu, Keith J. Holyoak, Catherine M. Sandhofer

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Generative Inferences in Relational and Analogical Reasoning: A Comparison of Computational Models.

Nicholas Ichien, Angela Kan, Keith J. Holyoak, Hongjing Lu

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Relation Representations in Analogical Reasoning and Recognition Memory.

Nicholas Ichien, Katherine L. Alfred, Sophia Rose Baia, David J. M. Kraemer, Silvia A. Bunge, Hongjing Lu, Keith J. Holyoak

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

From Vision to Reasoning: Probabilistic Analogical Mapping Between 3D Objects.

Shuhao Fu, Hongjing Lu, Keith J. Holyoak

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

Distributed Code for Semantic Relations Predicts Neural Similarity during Analogical Reasoning.

Jeffrey N. Chiang, Yujia Peng, Hongjing Lu, Keith J. Holyoak, Martin M. Monti

J. Cogn. Neurosci., 2021

CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models.

Arjun R. Akula, Keze Wang, Changsong Liu, Sari Saba-Sadiya, Hongjing Lu, Sinisa Todorovic, Joyce Chai, Song-Chun Zhu

CoRR, 2021

Probabilistic Analogical Mapping with Semantic Relation Networks.

Hongjing Lu, Nicholas Ichien, Keith J. Holyoak

CoRR, 2021

Mapping Moral Valence of Tweets Following The Killing of George Floyd.

J. Hunter Priniski, Negar Mokhberian, Bahareh Harandizadeh, Fred Morstatter, Kristina Lerman, Hongjing Lu, P. Jeffrey Brantingham

Proceedings of the Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media, 2021

Visual Analogy: Deep Learning Versus Compositional Models.

Nicholas Ichien, Qing Liu, Shuhao Fu, Keith J. Holyoak, Alan L. Yuille, Hongjing Lu

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Aesthetic experience is influenced by causality in biological movements.

Yi-Chia Chen, Frank E. Pollick, Hongjing Lu

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

Contextual Interference Effect in Motor Skill Learning: An Empirical and Computational Investigation.

Julia Schorn, Hongjing Lu, Barbara J. Knowlton

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Theory-Based Causal Transfer: Integrating Instance-Level Induction and Abstract-Level Structure Learning.

Mark Edmonds, Xiaojian Ma, Siyuan Qi, Yixin Zhu, Hongjing Lu, Song-Chun Zhu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A tale of two explanations: Enhancing human trust by explaining robot behavior.

Mark Edmonds, Feng Gao, Hangxin Liu, Xu Xie, Siyuan Qi, Brandon Rothrock, Yixin Zhu, Ying Nian Wu, Hongjing Lu, Song-Chun Zhu

Sci. Robotics, 2019

X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust.

Arjun R. Akula, Changsong Liu, Sari Saba-Sadiya, Hongjing Lu, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu

CoRR, 2019

Learning Perceptual Inference by Contrasting.

Chi Zhang, Baoxiong Jia, Feng Gao, Yixin Zhu, Hongjing Lu, Song-Chun Zhu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Partitioning the Perception of Physical and Social Events Within a Unified Psychological Space.

Tianmin Shu, Yujia Peng, Hongjing Lu, Song-Chun Zhu

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Perception of Continuous Movements from Causal Actions.

Yujia Peng, Nicholas Ichien, Hongjing Lu

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Seeing the Meaning: Vision Meets Semantics in Solving Pictorial Analogy Problems.

Hongjing Lu, Qing Liu, Nicholas Ichien, Alan L. Yuille, Keith J. Holyoak

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Individual Differences in Self-Recognition from Body Movements.

Akila Kadambi, Hongjing Lu

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Individual Differences in Judging Similarity Between Semantic Relations.

Nicholas Ichien, Hongjing Lu, Keith J. Holyoak

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Decomposing Human Causal Learning: Bottom-up Associative Learning and Top-down Schema Reasoning.

Mark Edmonds, Siyuan Qi, Yixin Zhu, James Kubricht, Song-Chun Zhu, Hongjing Lu

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Perception of Human Interaction Based on Motion Trajectories: From Aerial Videos to Decontextualized Animations.

Tianmin Shu, Yujia Peng, Lifeng Fan, Hongjing Lu, Song-Chun Zhu

Top. Cogn. Sci., 2018

Deep convolutional networks do not classify based on global object shape.

Nicholas Baker, Hongjing Lu, Gennady Erlikhman, Philip J. Kellman

PLoS Comput. Biol., 2018

Spatially Perturbed Collision Sounds Attenuate Perceived Causality in 3D Launching Events.

Duotun Wang, James Kubricht, Yixin Zhu, Wei Liang, Song-Chun Zhu, Chenfanfu Jiang, Hongjing Lu

Proceedings of the 2018 IEEE Conference on Virtual Reality and 3D User Interfaces, 2018

Behavioral Oscillations in Verification of Relational Role Bindings.

Yujia Peng, Pratyusha Javangula, Hongjing Lu, Keith J. Holyoak

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Physical and Causal Judgments for Object Collisions Depend on Relative Motion.

James Kubricht, Hongjing Lu

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Human Causal Transfer: Challenges for Deep Reinforcement Learning.

Mark Edmonds, James Kubricht, Colin Summers, Yixin Zhu, Brandon Rothrock, Song-Chun Zhu, Hongjing Lu

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Deep Convolutional Networks do not Perceive Illusory Contours.

Nicholas Baker, Gennady Erlikhman, Philip J. Kellman, Hongjing Lu

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017

The Martian: Examining Human Physical Judgments across Virtual Gravity Fields.

Tian Ye, Siyuan Qi, James Kubricht, Yixin Zhu, Hongjing Lu, Song-Chun Zhu

IEEE Trans. Vis. Comput. Graph., 2017

Inferring Human Interaction from Motion Trajectories in Aerial Videos.

Tianmin Shu, Yujia Peng, Lifeng Fan, Hongjing Lu, Song-Chun Zhu

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Visuomotor Adaptation and Sensory Recalibration in Reversed Hand Movement Task.

Jenny Lin, Yixin Zhu, James Kubricht, Song-Chun Zhu, Hongjing Lu

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Consistent Probabilistic Simulation Underlying Human Judgment in Substance Dynamics.

James Kubricht, Yixin Zhu, Chenfanfu Jiang, Demetri Terzopoulos, Song-Chun Zhu, Hongjing Lu

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016

Neural adaptation in pSTS correlates with perceptual aftereffects to biological motion and with autistic traits.

Steven M. Thurman, Jeroen J. A. van Boxtel, Martin M. Monti, Jeffrey N. Chiang, Hongjing Lu

NeuroImage, 2016

A Bayesian Theory of Sequential Causal Learning and Abstract Transfer.

Hongjing Lu, Randall R. Rojas, Tom Beckers, Alan L. Yuille

Cogn. Sci., 2016

Critical Features of Joint Actions that Signal Human Interaction.

Tianmin Shu, Steven M. Thurman, Dawn Chen, Song-Chun Zhu, Hongjing Lu

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Causal Action: A Fundamental Constraint on Perception of Bodily Movements.

Yujia Peng, Steven M. Thurman, Hongjing Lu

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Probabilistic Simulation Predicts Human Performance on Viscous Fluid-Pouring Problem.

James Kubricht, Chenfanfu Jiang, Yixin Zhu, Song-Chun Zhu, Demetri Terzopoulos, Hongjing Lu

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015

Animation Facilitates Source Understanding and Spontaneous Analogical Transfer.

James Kubricht, Hongjing Lu, Keith J. Holyoak

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Learning and Generalizing Cross-Category Relations Using Hierarchical Distributed Representations.

Dawn Chen, Hongjing Lu, Keith J. Holyoak

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014

Generic Priors Yield Competition Between Independently-Occurring Preventive Causes.

Derek Powell, Alice Merrick, Hongjing Lu, Keith J. Holyoak

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Anticipating an Effect from Predictive Visual Sequences: Development of Infants' Causal Inference from 9 to 18 Months.

Jeffrey K. Bye, Bryan Nguyen, Hongjing Lu, Scott P. Johnson

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013

Generic Priors Yield Competition Between Independently-Occurring Causes.

Derek Powell, Alice Merrick, Hongjing Lu, Keith J. Holyoak

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Generative Inferences Based on a Discriminative Bayesian Model of Relation Learning.

Dawn Chen, Hongjing Lu, Keith J. Holyoak

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2011

Uncertainty and dependency in causal inference.

Christopher Carroll, Patricia W. Cheng, Hongjing Lu

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010

A unified model of short-range and long-range motion perception.

Shuang Wu, Xuming He, Hongjing Lu, Alan L. Yuille

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Functional form of motion priors in human motion perception.

Hongjing Lu, Tungyou Lin, Alan L. F. Lee, Luminita A. Vese, Alan L. Yuille

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009

Modeling the spacing effect in sequential category learning.

Hongjing Lu, Matthew Weiden, Alan L. Yuille

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008

Model selection and velocity estimation using novel priors for motion patterns.

Shuang Wu, Hongjing Lu, Alan L. Yuille

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Motion Integration Using Competitive Priors.

Shuang Wu, Hongjing Lu, Alan L. F. Lee, Alan L. Yuille

Proceedings of the Statistical and Geometrical Approaches to Visual Motion Analysis, 2008

2007

The Noisy-Logical Distribution and its Application to Causal Inference.

Alan L. Yuille, Hongjing Lu

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2005

Ideal Observers for Detecting Motion: Correspondence Noise.

Hongjing Lu, Alan L. Yuille

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005