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ORCIDHongjing Lu
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2020 – today
- 2024
[j12]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: 101184 (2024)- [i12]Taylor W. Webb, Keith J. Holyoak, Hongjing Lu:
Evidence from counterfactual tasks supports emergent analogical reasoning in large language models. CoRR abs/2404.13070 (2024) - [i11]J. Hunter Priniski, Bryce Linford, Sai Krishna, Fred Morstatter, P. Jeffrey Brantingham, Hongjing Lu:
Online network topology shapes personal narratives and hashtag generation. CoRR abs/2405.20457 (2024) - 2023
- [j11]Kara Combs
, Hongjing Lu, Trevor J. Bihl:
Transfer Learning and Analogical Inference: A Critical Comparison of Algorithms, Methods, and Applications. Algorithms 16(3): 146 (2023) - [j10]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) - [c48]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 - [c47]Andrew Jun Lee, Hongjing Lu, Keith J. Holyoak:
Human Relational Concept Learning on the Synthetic Visual Reasoning Test. CogSci 2023 - [c46]Yujia Peng, Xizi Gong, Hongjing Lu, Fang Fang:
Mapping between the Human Visual System and Two-stream DCNNs in Action Representation. CogSci 2023 - [c45]Bryor Snefjella, Yiling Yun, Shuhao Fu, Hongjing Lu:
Human similarity judgments of emojis support alignment of conceptual systems across modalities. CogSci 2023 - 2022
- [j9]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): 2644-2651 (2022) - [j8]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) - [c44]Shuhao Fu, Hongjing Lu, Keith J. Holyoak:
From Vision to Reasoning: Probabilistic Analogical Mapping Between 3D Objects. CogSci 2022 - [c43]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 - [c42]Nicholas Ichien, Angela Kan, Keith J. Holyoak, Hongjing Lu:
Generative Inferences in Relational and Analogical Reasoning: A Comparison of Computational Models. CogSci 2022 - [c41]Amalia Ionescu, Hongjing Lu, Keith J. Holyoak, Catherine M. Sandhofer:
Children's Acquisition of the Concept of Antonym Across Different Lexical Classes. CogSci 2022 - [c40]Bryce Linford, Nicholas Ichien, Keith J. Holyoak, Hongjing Lu:
Impact of Semantic Representations on Analogical Mapping with Transitive Relations. CogSci 2022 - [c39]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 - [c38]Icy (Yunyi) Zhang, Shuhao Fu, Alice (Zhongrui) Xu, Hongjing Lu:
Causal versus Associative Relations: Do Humans Perceive and Represent Them Differently? CogSci 2022 - [i10]Taylor W. Webb, Shuhao Fu, Trevor Bihl, Keith J. Holyoak, Hongjing Lu:
Zero-shot visual reasoning through probabilistic analogical mapping. CoRR abs/2209.15087 (2022) - [i9]Taylor W. Webb, Keith J. Holyoak, Hongjing Lu:
Emergent Analogical Reasoning in Large Language Models. CoRR abs/2212.09196 (2022) - 2021
- [j7]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): 377-389 (2021) - [c37]Yi-Chia Chen, Frank E. Pollick, Hongjing Lu:
Aesthetic experience is influenced by causality in biological movements. CogSci 2021 - [c36]Nicholas Ichien, Qing Liu, Shuhao Fu, Keith J. Holyoak, Alan L. Yuille, Hongjing Lu:
Visual Analogy: Deep Learning Versus Compositional Models. CogSci 2021 - [c35]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 - [i8]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 abs/2103.04077 (2021) - [i7]Hongjing Lu, Nicholas Ichien, Keith J. Holyoak:
Probabilistic Analogical Mapping with Semantic Relation Networks. CoRR abs/2103.16704 (2021) - [i6]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 abs/2104.09578 (2021) - [i5]Nicholas Ichien, Qing Liu, Shuhao Fu, Keith J. Holyoak, Alan L. Yuille, Hongjing Lu:
Visual analogy: Deep learning versus compositional models. CoRR abs/2105.07065 (2021) - [i4]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 abs/2109.01401 (2021) - 2020
- [c34]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: 1283-1291 - [c33]Julia Schorn, Hongjing Lu, Barbara J. Knowlton:
Contextual Interference Effect in Motor Skill Learning: An Empirical and Computational Investigation. CogSci 2020
2010 – 2019
- 2019
- [j6]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) - [c32]Nicholas Ichien, Hongjing Lu, Keith J. Holyoak:
Individual Differences in Judging Similarity Between Semantic Relations. CogSci 2019: 464-470 - [c31]Akila Kadambi, Hongjing Lu:
Individual Differences in Self-Recognition from Body Movements. CogSci 2019: 513-519 - [c30]Tianmin Shu, Yujia Peng, Hongjing Lu, Song-Chun Zhu:
Partitioning the Perception of Physical and Social Events Within a Unified Psychological Space. CogSci 2019: 1048-1054 - [c29]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: 1696-1702 - [c28]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: 2201-2207 - [c27]Yujia Peng, Nicholas Ichien, Hongjing Lu:
Perception of Continuous Movements from Causal Actions. CogSci 2019: 2557-2563 - [c26]Chi Zhang, Baoxiong Jia, Feng Gao, Yixin Zhu, Hongjing Lu, Song-Chun Zhu:
Learning Perceptual Inference by Contrasting. NeurIPS 2019: 1073-1085 - [i3]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 abs/1909.06907 (2019) - [i2]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 abs/1911.11185 (2019) - [i1]Chi Zhang, Baoxiong Jia, Feng Gao, Yixin Zhu, Hongjing Lu, Song-Chun Zhu:
Learning Perceptual Inference by Contrasting. CoRR abs/1912.00086 (2019) - 2018
- [j5]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) - [j4]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): 225-241 (2018) - [c25]Nicholas Baker, Gennady Erlikhman, Philip J. Kellman, Hongjing Lu:
Deep Convolutional Networks do not Perceive Illusory Contours. CogSci 2018 - [c24]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 - [c23]James Kubricht, Hongjing Lu:
Physical and Causal Judgments for Object Collisions Depend on Relative Motion. CogSci 2018 - [c22]Yujia Peng, Pratyusha Javangula, Hongjing Lu, Keith J. Holyoak:
Behavioral Oscillations in Verification of Relational Role Bindings. CogSci 2018 - [c21]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: 259-266 - 2017
- [j3]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): 1399-1408 (2017) - [c20]James Kubricht, Yixin Zhu, Chenfanfu Jiang, Demetri Terzopoulos, Song-Chun Zhu, Hongjing Lu:
Consistent Probabilistic Simulation Underlying Human Judgment in Substance Dynamics. CogSci 2017 - [c19]Jenny Lin, Yixin Zhu, James Kubricht, Song-Chun Zhu, Hongjing Lu:
Visuomotor Adaptation and Sensory Recalibration in Reversed Hand Movement Task. CogSci 2017 - [c18]Tianmin Shu, Yujia Peng, Lifeng Fan, Hongjing Lu, Song-Chun Zhu:
Inferring Human Interaction from Motion Trajectories in Aerial Videos. CogSci 2017 - 2016
- [j2]Hongjing Lu, Randall R. Rojas, Tom Beckers, Alan L. Yuille:
A Bayesian Theory of Sequential Causal Learning and Abstract Transfer. Cogn. Sci. 40(2): 404-439 (2016) - [j1]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: 149-161 (2016) - [c17]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 - [c16]Yujia Peng, Steven M. Thurman, Hongjing Lu:
Causal Action: A Fundamental Constraint on Perception of Bodily Movements. CogSci 2016 - [c15]Tianmin Shu, Steven M. Thurman, Dawn Chen, Song-Chun Zhu, Hongjing Lu:
Critical Features of Joint Actions that Signal Human Interaction. CogSci 2016 - 2015
- [c14]Dawn Chen, Hongjing Lu, Keith J. Holyoak:
Learning and Generalizing Cross-Category Relations Using Hierarchical Distributed Representations. CogSci 2015 - [c13]James Kubricht, Hongjing Lu, Keith J. Holyoak:
Animation Facilitates Source Understanding and Spontaneous Analogical Transfer. CogSci 2015 - 2014
- [c12]Jeffrey K. 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 - [c11]Derek Powell, Alice Merrick, Hongjing Lu, Keith J. Holyoak:
Generic Priors Yield Competition Between Independently-Occurring Preventive Causes. CogSci 2014 - 2013
- [c10]Dawn Chen, Hongjing Lu, Keith J. Holyoak:
Generative Inferences Based on a Discriminative Bayesian Model of Relation Learning. CogSci 2013 - [c9]Derek Powell, Alice Merrick, Hongjing Lu, Keith J. Holyoak:
Generic Priors Yield Competition Between Independently-Occurring Causes. CogSci 2013 - 2011
- [c8]Christopher Carroll, Patricia W. Cheng, Hongjing Lu:
Uncertainty and dependency in causal inference. CogSci 2011 - 2010
- [c7]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: 1495-1503 - [c6]Shuang Wu, Xuming He, Hongjing Lu, Alan L. Yuille:
A unified model of short-range and long-range motion perception. NIPS 2010: 2478-2486
2000 – 2009
- 2009
- [c5]Hongjing Lu, Matthew Weiden, Alan L. Yuille:
Modeling the spacing effect in sequential category learning. NIPS 2009: 1159-1167 - 2008
- [c4]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: 235-258 - [c3]Shuang Wu, Hongjing Lu, Alan L. Yuille:
Model selection and velocity estimation using novel priors for motion patterns. NIPS 2008: 1793-1800 - 2007
- [c2]Alan L. Yuille, Hongjing Lu:
The Noisy-Logical Distribution and its Application to Causal Inference. NIPS 2007: 1673-1680 - 2005
- [c1]Hongjing Lu, Alan L. Yuille:
Ideal Observers for Detecting Motion: Correspondence Noise. NIPS 2005: 827-834
Coauthor Index
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last updated on 2024-06-28 23:44 CEST by the dblp team
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