Hongjing Lu

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 58

Top Topics

Semantic Relations

Reinforcement Learning

Computational Models

Analogical Reasoning

Top Venues

Publications

Yanru Jiang, Rick Dale, Hongjing Lu
Transformability, generalizability, but limited diffusibility: Comparing global vs. task-specific language representations in deep neural networks. Cogn. Syst. Res. 83 (2024)
J. Hunter Priniski, Bryce Linford, Sai Krishna, Fred Morstatter, P. Jeffrey Brantingham, Hongjing Lu
Online network topology shapes personal narratives and hashtag generation. CoRR (2024)
Taylor W. Webb, Keith J. Holyoak, Hongjing Lu
Evidence from counterfactual tasks supports emergent analogical reasoning in large language models. CoRR (2024)
Kara Combs, Hongjing Lu, Trevor J. Bihl
Transfer Learning and Analogical Inference: A Critical Comparison of Algorithms, Methods, and Applications. Algorithms 16 (3) (2023)
Andrew Jun Lee, Hongjing Lu, Keith J. Holyoak
Human Relational Concept Learning on the Synthetic Visual Reasoning Test. CogSci (2023)
Yujia Peng, Xizi Gong, Hongjing Lu, Fang Fang
Mapping between the Human Visual System and Two-stream DCNNs in Action Representation. CogSci (2023)
Bryor Snefjella, Yiling Yun, Shuhao Fu, Hongjing Lu
Human similarity judgments of emojis support alignment of conceptual systems across modalities. CogSci (2023)
Nicholas Ichien, Nyusha Lin, Keith J. Holyoak, Hongjing Lu
Asymmetry in similarity and difference judgments results from asymmetry in the complexity of the relations same and different. CogSci (2023)
Nicholas Ichien, Qing Liu, Shuhao Fu, Keith J. Holyoak, Alan L. Yuille, Hongjing Lu
Two Computational Approaches to Visual Analogy: Task-Specific Models Versus Domain-General Mapping. Cogn. Sci. 47 (9) (2023)
Amalia Ionescu, Hongjing Lu, Keith J. Holyoak, Catherine M. Sandhofer
Children's Acquisition of the Concept of Antonym Across Different Lexical Classes. CogSci (2022)
Nicholas Ichien, Katherine L. Alfred, Sophia Rose Baia, David J. M. Kraemer, Silvia A. Bunge, Hongjing Lu, Keith J. Holyoak
Relation Representations in Analogical Reasoning and Recognition Memory. CogSci (2022)
Luyao Yuan, Xiaofeng Gao, Zilong Zheng, Mark Edmonds, Ying Nian Wu, Federico Rossano, Hongjing Lu, Yixin Zhu, Song-Chun Zhu
In situ bidirectional human-robot value alignment. Sci. Robotics 7 (68) (2022)
Bryor Snefjella, Nicholas Ichien, Keith J. Holyoak, Hongjing Lu
Predicting Human Judgments of Relational Similarity: A Comparison of Computational Models Based on Vector Representations of Meaning. CogSci (2022)
Taylor W. Webb, Shuhao Fu, Trevor Bihl, Keith J. Holyoak, Hongjing Lu
Zero-shot visual reasoning through probabilistic analogical mapping. CoRR (2022)
Bryce Linford, Nicholas Ichien, Keith J. Holyoak, Hongjing Lu
Impact of Semantic Representations on Analogical Mapping with Transitive Relations. CogSci (2022)
Nicholas Ichien, Angela Kan, Keith J. Holyoak, Hongjing Lu
Generative Inferences in Relational and Analogical Reasoning: A Comparison of Computational Models. CogSci (2022)
Xiaofeng Gao, Luyao Yuan, Tianmin Shu, Hongjing Lu, Song-Chun Zhu
Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration. IEEE Robotics Autom. Lett. 7 (2) (2022)
Icy (Yunyi) Zhang, Shuhao Fu, Alice (Zhongrui) Xu, Hongjing Lu
Causal versus Associative Relations: Do Humans Perceive and Represent Them Differently? CogSci (2022)
Shuhao Fu, Hongjing Lu, Keith J. Holyoak
From Vision to Reasoning: Probabilistic Analogical Mapping Between 3D Objects. CogSci (2022)
Taylor W. Webb, Keith J. Holyoak, Hongjing Lu
Emergent Analogical Reasoning in Large Language Models. CoRR (2022)
Hongjing Lu, Nicholas Ichien, Keith J. Holyoak
Probabilistic Analogical Mapping with Semantic Relation Networks. CoRR (2021)
Nicholas Ichien, Qing Liu, Shuhao Fu, Keith J. Holyoak, Alan L. Yuille, Hongjing Lu
Visual Analogy: Deep Learning Versus Compositional Models. CogSci (2021)
J. Hunter Priniski, Negar Mokhberian, Bahareh Harandizadeh, Fred Morstatter, Kristina Lerman, Hongjing Lu, P. Jeffrey Brantingham
Mapping Moral Valence of Tweets Following The Killing of George Floyd. ICWSM Workshops (2021)
J. Hunter Priniski, Negar Mokhberian, Bahareh Harandizadeh, Fred Morstatter, Kristina Lerman, Hongjing Lu, P. Jeffrey Brantingham
Mapping Moral Valence of Tweets Following the Killing of George Floyd. CoRR (2021)
Yi-Chia Chen, Frank E. Pollick, Hongjing Lu
Aesthetic experience is influenced by causality in biological movements. CogSci (2021)
Jeffrey N. Chiang, Yujia Peng, Hongjing Lu, Keith J. Holyoak, Martin M. Monti
Distributed Code for Semantic Relations Predicts Neural Similarity during Analogical Reasoning. J. Cogn. Neurosci. 33 (3) (2021)
Nicholas Ichien, Qing Liu, Shuhao Fu, Keith J. Holyoak, Alan L. Yuille, Hongjing Lu
Visual analogy: Deep learning versus compositional models. CoRR (2021)
Xiaofeng Gao, Luyao Yuan, Tianmin Shu, Hongjing Lu, Song-Chun Zhu
Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration. CoRR (2021)
Arjun R. Akula, Keze Wang, Changsong Liu, Sari Saba-Sadiya, Hongjing Lu, Sinisa Todorovic, Joyce Chai, Song-Chun Zhu
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models. CoRR (2021)
Mark Edmonds, Xiaojian Ma, Siyuan Qi, Yixin Zhu, Hongjing Lu, Song-Chun Zhu
Theory-Based Causal Transfer: Integrating Instance-Level Induction and Abstract-Level Structure Learning. AAAI (2020)
Julia Schorn, Hongjing Lu, Barbara J. Knowlton
Contextual Interference Effect in Motor Skill Learning: An Empirical and Computational Investigation. CogSci (2020)
Hongjing Lu, Qing Liu, Nicholas Ichien, Alan L. Yuille, Keith J. Holyoak
Seeing the Meaning: Vision Meets Semantics in Solving Pictorial Analogy Problems. CogSci (2019)
Chi Zhang, Baoxiong Jia, Feng Gao, Yixin Zhu, Hongjing Lu, Song-Chun Zhu
Learning Perceptual Inference by Contrasting. CoRR (2019)
Mark Edmonds, Feng Gao, Hangxin Liu, Xu Xie, Siyuan Qi, Brandon Rothrock, Yixin Zhu, Ying Nian Wu, Hongjing Lu, Song-Chun Zhu
A tale of two explanations: Enhancing human trust by explaining robot behavior. Sci. Robotics 4 (37) (2019)
Yujia Peng, Nicholas Ichien, Hongjing Lu
Perception of Continuous Movements from Causal Actions. CogSci (2019)
Chi Zhang, Baoxiong Jia, Feng Gao, Yixin Zhu, Hongjing Lu, Song-Chun Zhu
Learning Perceptual Inference by Contrasting. NeurIPS (2019)
Arjun R. Akula, Changsong Liu, Sari Saba-Sadiya, Hongjing Lu, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu
X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust. CoRR (2019)
Tianmin Shu, Yujia Peng, Hongjing Lu, Song-Chun Zhu
Partitioning the Perception of Physical and Social Events Within a Unified Psychological Space. CogSci (2019)
Mark Edmonds, Xiaojian Ma, Siyuan Qi, Yixin Zhu, Hongjing Lu, Song-Chun Zhu
Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning. CoRR (2019)
Mark Edmonds, Siyuan Qi, Yixin Zhu, James Kubricht, Song-Chun Zhu, Hongjing Lu
Decomposing Human Causal Learning: Bottom-up Associative Learning and Top-down Schema Reasoning. CogSci (2019)
Akila Kadambi, Hongjing Lu
Individual Differences in Self-Recognition from Body Movements. CogSci (2019)
Nicholas Ichien, Hongjing Lu, Keith J. Holyoak
Individual Differences in Judging Similarity Between Semantic Relations. CogSci (2019)
Tianmin Shu, Yujia Peng, Lifeng Fan, Hongjing Lu, Song-Chun Zhu
Perception of Human Interaction Based on Motion Trajectories: From Aerial Videos to Decontextualized Animations. Top. Cogn. Sci. 10 (1) (2018)
Nicholas Baker, Gennady Erlikhman, Philip J. Kellman, Hongjing Lu
Deep Convolutional Networks do not Perceive Illusory Contours. CogSci (2018)
James Kubricht, Hongjing Lu
Physical and Causal Judgments for Object Collisions Depend on Relative Motion. CogSci (2018)
Duotun Wang, James Kubricht, Yixin Zhu, Wei Liang, Song-Chun Zhu, Chenfanfu Jiang, Hongjing Lu
Spatially Perturbed Collision Sounds Attenuate Perceived Causality in 3D Launching Events. VR (2018)
Yujia Peng, Pratyusha Javangula, Hongjing Lu, Keith J. Holyoak
Behavioral Oscillations in Verification of Relational Role Bindings. CogSci (2018)
Mark Edmonds, James Kubricht, Colin Summers, Yixin Zhu, Brandon Rothrock, Song-Chun Zhu, Hongjing Lu
Human Causal Transfer: Challenges for Deep Reinforcement Learning. CogSci (2018)
Nicholas Baker, Hongjing Lu, Gennady Erlikhman, Philip J. Kellman
Deep convolutional networks do not classify based on global object shape. PLoS Comput. Biol. 14 (12) (2018)
James Kubricht, Yixin Zhu, Chenfanfu Jiang, Demetri Terzopoulos, Song-Chun Zhu, Hongjing Lu
Consistent Probabilistic Simulation Underlying Human Judgment in Substance Dynamics. CogSci (2017)
Jenny Lin, Yixin Zhu, James Kubricht, Song-Chun Zhu, Hongjing Lu
Visuomotor Adaptation and Sensory Recalibration in Reversed Hand Movement Task. CogSci (2017)
Tian Ye, Siyuan Qi, James Kubricht, Yixin Zhu, Hongjing Lu, Song-Chun Zhu
The Martian: Examining Human Physical Judgments across Virtual Gravity Fields. IEEE Trans. Vis. Comput. Graph. 23 (4) (2017)
Tianmin Shu, Yujia Peng, Lifeng Fan, Hongjing Lu, Song-Chun Zhu
Inferring Human Interaction from Motion Trajectories in Aerial Videos. CogSci (2017)
Hongjing Lu, Randall R. Rojas, Tom Beckers, Alan L. Yuille
A Bayesian Theory of Sequential Causal Learning and Abstract Transfer. Cogn. Sci. 40 (2) (2016)
Steven M. Thurman, Jeroen J. A. van Boxtel, Martin M. Monti, Jeffrey N. Chiang, Hongjing Lu
Neural adaptation in pSTS correlates with perceptual aftereffects to biological motion and with autistic traits. NeuroImage 136 (2016)
Tianmin Shu, Steven M. Thurman, Dawn Chen, Song-Chun Zhu, Hongjing Lu
Critical Features of Joint Actions that Signal Human Interaction. CogSci (2016)
James Kubricht, Chenfanfu Jiang, Yixin Zhu, Song-Chun Zhu, Demetri Terzopoulos, Hongjing Lu
Probabilistic Simulation Predicts Human Performance on Viscous Fluid-Pouring Problem. CogSci (2016)
Yujia Peng, Steven M. Thurman, Hongjing Lu
Causal Action: A Fundamental Constraint on Perception of Bodily Movements. CogSci (2016)
James Kubricht, Hongjing Lu, Keith J. Holyoak
Animation Facilitates Source Understanding and Spontaneous Analogical Transfer. CogSci (2015)
Dawn Chen, Hongjing Lu, Keith J. Holyoak
Learning and Generalizing Cross-Category Relations Using Hierarchical Distributed Representations. CogSci (2015)
Derek Powell, Alice Merrick, Hongjing Lu, Keith J. Holyoak
Generic Priors Yield Competition Between Independently-Occurring Preventive Causes. CogSci (2014)
Jeffrey Bye, Bryan Nguyen, Hongjing Lu, Scott P. Johnson
Anticipating an Effect from Predictive Visual Sequences: Development of Infants' Causal Inference from 9 to 18 Months. CogSci (2014)
Derek Powell, Alice Merrick, Hongjing Lu, Keith J. Holyoak
Generic Priors Yield Competition Between Independently-Occurring Causes. CogSci (2013)
Dawn Chen, Hongjing Lu, Keith J. Holyoak
Generative Inferences Based on a Discriminative Bayesian Model of Relation Learning. CogSci (2013)
Christopher Carroll, Patricia W. Cheng, Hongjing Lu
Uncertainty and dependency in causal inference. CogSci (2011)
Shuang Wu, Xuming He, Hongjing Lu, Alan L. Yuille
A unified model of short-range and long-range motion perception. NIPS (2010)
Hongjing Lu, Tungyou Lin, Alan L. F. Lee, Luminita A. Vese, Alan L. Yuille
Functional form of motion priors in human motion perception. NIPS (2010)
Hongjing Lu, Matthew Weiden, Alan L. Yuille
Modeling the spacing effect in sequential category learning. NIPS (2009)
Shuang Wu, Hongjing Lu, Alan L. Yuille
Model selection and velocity estimation using novel priors for motion patterns. NIPS (2008)
Shuang Wu, Hongjing Lu, Alan L. F. Lee, Alan L. Yuille
Motion Integration Using Competitive Priors. Statistical and Geometrical Approaches to Visual Motion Analysis (2008)
Alan L. Yuille, Hongjing Lu
The Noisy-Logical Distribution and its Application to Causal Inference. NIPS (2007)
Hongjing Lu, Alan L. Yuille
Ideal Observers for Detecting Motion: Correspondence Noise. NIPS (2005)