Ideal Observers for Detecting Motion: Correspondence Noise. - Hongjing Lu; Alan L. Yuille (NIPS, 2005)

The Noisy-Logical Distribution and its Application to Causal Inference. - Alan L. Yuille; Hongjing Lu (NIPS, 2007)

Motion Integration Using Competitive Priors. - Shuang Wu; Hongjing Lu; Alan L. F. Lee; Alan L. Yuille (Statistical and Geometrical Approaches to Visual Motion Analysis, 2008)

Model selection and velocity estimation using novel priors for motion patterns. - Shuang Wu; Hongjing Lu; Alan L. Yuille (NIPS, 2008)

Modeling the spacing effect in sequential category learning. - Hongjing Lu; Matthew Weiden; Alan L. Yuille (NIPS, 2009)

Functional form of motion priors in human motion perception. - Hongjing Lu; Tungyou Lin; Alan L. F. Lee; Luminita A. Vese; Alan L. Yuille (NIPS, 2010)

A unified model of short-range and long-range motion perception. - Shuang Wu; Xuming He 001; Hongjing Lu; Alan L. Yuille (NIPS, 2010)

Uncertainty and dependency in causal inference. - Christopher Carroll; Patricia W. Cheng; Hongjing Lu (CogSci, 2011)

Generative Inferences Based on a Discriminative Bayesian Model of Relation Learning. - Dawn Chen; Hongjing Lu; Keith J. Holyoak (CogSci, 2013)

Generic Priors Yield Competition Between Independently-Occurring Causes. - Derek Powell; Alice Merrick; Hongjing Lu; Keith J. Holyoak (CogSci, 2013)

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 (CogSci, 2014)

Generic Priors Yield Competition Between Independently-Occurring Preventive Causes. - Derek Powell; Alice Merrick; Hongjing Lu; Keith J. Holyoak (CogSci, 2014)

Learning and Generalizing Cross-Category Relations Using Hierarchical Distributed Representations. - Dawn Chen; Hongjing Lu; Keith J. Holyoak (CogSci, 2015)

Animation Facilitates Source Understanding and Spontaneous Analogical Transfer. - James Kubricht; Hongjing Lu; Keith J. Holyoak (CogSci, 2015)

Probabilistic Simulation Predicts Human Performance on Viscous Fluid-Pouring Problem. - James Kubricht; Chenfanfu Jiang; Yixin Zhu 001; Song-Chun Zhu; Demetri Terzopoulos; Hongjing Lu (CogSci, 2016)

Causal Action: A Fundamental Constraint on Perception of Bodily Movements. - Yujia Peng; Steven M. Thurman; Hongjing Lu (CogSci, 2016)

Critical Features of Joint Actions that Signal Human Interaction. - Tianmin Shu; Steven M. Thurman; Dawn Chen; Song-Chun Zhu; Hongjing Lu (CogSci, 2016)

A Bayesian Theory of Sequential Causal Learning and Abstract Transfer. - Hongjing Lu; Randall R. Rojas; Tom Beckers; Alan L. Yuille (Cogn. Sci., 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)

Consistent Probabilistic Simulation Underlying Human Judgment in Substance Dynamics. - James Kubricht; Yixin Zhu 001; Chenfanfu Jiang; Demetri Terzopoulos; Song-Chun Zhu; Hongjing Lu (CogSci, 2017)

Visuomotor Adaptation and Sensory Recalibration in Reversed Hand Movement Task. - Jenny Lin; Yixin Zhu 001; James Kubricht; Song-Chun Zhu; Hongjing Lu (CogSci, 2017)

Inferring Human Interaction from Motion Trajectories in Aerial Videos. - Tianmin Shu; Yujia Peng; Lifeng Fan; Hongjing Lu; Song-Chun Zhu (CogSci, 2017)

The Martian: Examining Human Physical Judgments across Virtual Gravity Fields. - Tian Ye 005; Siyuan Qi; James Kubricht; Yixin Zhu 001; Hongjing Lu; Song-Chun Zhu (IEEE Trans. Vis. Comput. Graph., 2017)

Deep Convolutional Networks do not Perceive Illusory Contours. - Nicholas Baker; Gennady Erlikhman; Philip J. Kellman; Hongjing Lu (CogSci, 2018)

Human Causal Transfer: Challenges for Deep Reinforcement Learning. - Mark Edmonds; James Kubricht; Colin Summers; Yixin Zhu 001; Brandon Rothrock; Song-Chun Zhu; Hongjing Lu (CogSci, 2018)

Physical and Causal Judgments for Object Collisions Depend on Relative Motion. - James Kubricht; Hongjing Lu (CogSci, 2018)

Behavioral Oscillations in Verification of Relational Role Bindings. - Yujia Peng; Pratyusha Javangula; Hongjing Lu; Keith J. Holyoak (CogSci, 2018)

Spatially Perturbed Collision Sounds Attenuate Perceived Causality in 3D Launching Events. - Duotun Wang; James Kubricht; Yixin Zhu 001; Wei Liang 008; Song-Chun Zhu; Chenfanfu Jiang; Hongjing Lu (VR, 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)

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)

Decomposing Human Causal Learning: Bottom-up Associative Learning and Top-down Schema Reasoning. - Mark Edmonds; Siyuan Qi; Yixin Zhu 001; James Kubricht; Song-Chun Zhu; Hongjing Lu (CogSci, 2019)

Individual Differences in Judging Similarity Between Semantic Relations. - Nicholas Ichien; Hongjing Lu; Keith J. Holyoak (CogSci, 2019)

Individual Differences in Self-Recognition from Body Movements. - Akila Kadambi; Hongjing Lu (CogSci, 2019)

Seeing the Meaning: Vision Meets Semantics in Solving Pictorial Analogy Problems. - Hongjing Lu; Qing Liu 017; Nicholas Ichien; Alan L. Yuille; Keith J. Holyoak (CogSci, 2019)

Perception of Continuous Movements from Causal Actions. - Yujia Peng; Nicholas Ichien; Hongjing Lu (CogSci, 2019)

Partitioning the Perception of Physical and Social Events Within a Unified Psychological Space. - Tianmin Shu; Yujia Peng; Hongjing Lu; Song-Chun Zhu (CogSci, 2019)

Learning Perceptual Inference by Contrasting. - Chi Zhang 017; Baoxiong Jia; Feng Gao 013; Yixin Zhu 001; Hongjing Lu; Song-Chun Zhu (NeurIPS, 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)

A tale of two explanations: Enhancing human trust by explaining robot behavior. - Mark Edmonds; Feng Gao 013; Hangxin Liu; Xu Xie 001; Siyuan Qi; Brandon Rothrock; Yixin Zhu 001; Ying Nian Wu; Hongjing Lu; Song-Chun Zhu (Sci. Robotics, 2019)

Theory-Based Causal Transfer: Integrating Instance-Level Induction and Abstract-Level Structure Learning. - Mark Edmonds; Xiaojian Ma 001; Siyuan Qi; Yixin Zhu 001; Hongjing Lu; Song-Chun Zhu (AAAI, 2020)

Contextual Interference Effect in Motor Skill Learning: An Empirical and Computational Investigation. - Julia Schorn; Hongjing Lu; Barbara J. Knowlton (CogSci, 2020)

Aesthetic experience is influenced by causality in biological movements. - Yi-Chia Chen; Frank E. Pollick; Hongjing Lu (CogSci, 2021)

Visual Analogy: Deep Learning Versus Compositional Models. - Nicholas Ichien; Qing Liu 017; Shuhao Fu; Keith J. Holyoak; Alan L. Yuille; Hongjing Lu (CogSci, 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 (ICWSM Workshops, 2021)

Probabilistic Analogical Mapping with Semantic Relation Networks. - Hongjing Lu; Nicholas Ichien; Keith J. Holyoak (CoRR, 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)

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)

From Vision to Reasoning: Probabilistic Analogical Mapping Between 3D Objects. - Shuhao Fu; Hongjing Lu; Keith J. Holyoak (CogSci, 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 (CogSci, 2022)

Generative Inferences in Relational and Analogical Reasoning: A Comparison of Computational Models. - Nicholas Ichien; Angela Kan; Keith J. Holyoak; Hongjing Lu (CogSci, 2022)

Children's Acquisition of the Concept of Antonym Across Different Lexical Classes. - Amalia Ionescu; Hongjing Lu; Keith J. Holyoak; Catherine M. Sandhofer (CogSci, 2022)

Impact of Semantic Representations on Analogical Mapping with Transitive Relations. - Bryce Linford; Nicholas Ichien; Keith J. Holyoak; Hongjing Lu (CogSci, 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 (CogSci, 2022)

Causal versus Associative Relations: Do Humans Perceive and Represent Them Differently? - Icy (Yunyi) Zhang; Shuhao Fu; Alice (Zhongrui) Xu; Hongjing Lu (CogSci, 2022)

Zero-shot visual reasoning through probabilistic analogical mapping. - Taylor W. Webb; Shuhao Fu; Trevor Bihl; Keith J. Holyoak; Hongjing Lu (CoRR, 2022)

Emergent Analogical Reasoning in Large Language Models. - Taylor W. Webb; Keith J. Holyoak; Hongjing Lu (CoRR, 2022)

Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration. - Xiaofeng Gao 002; Luyao Yuan; Tianmin Shu; Hongjing Lu; Song-Chun Zhu (IEEE Robotics Autom. Lett., 2022)

In situ bidirectional human-robot value alignment. - Luyao Yuan; Xiaofeng Gao 002; Zilong Zheng; Mark Edmonds; Ying Nian Wu; Federico Rossano; Hongjing Lu; Yixin Zhu 001; Song-Chun Zhu (Sci. Robotics, 2022)

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 (CogSci, 2023)

Human Relational Concept Learning on the Synthetic Visual Reasoning Test. - Andrew Jun Lee; Hongjing Lu; Keith J. Holyoak (CogSci, 2023)

Mapping between the Human Visual System and Two-stream DCNNs in Action Representation. - Yujia Peng; Xizi Gong; Hongjing Lu; Fang Fang (CogSci, 2023)

Human similarity judgments of emojis support alignment of conceptual systems across modalities. - Bryor Snefjella; Yiling Yun; Shuhao Fu; Hongjing Lu (CogSci, 2023)

Transfer Learning and Analogical Inference: A Critical Comparison of Algorithms, Methods, and Applications. - Kara Combs; Hongjing Lu; Trevor J. Bihl (Algorithms, 2023)

Two Computational Approaches to Visual Analogy: Task-Specific Models Versus Domain-General Mapping. - Nicholas Ichien; Qing Liu 017; Shuhao Fu; Keith J. Holyoak; Alan L. Yuille; Hongjing Lu (Cogn. Sci., 2023)

Evidence from counterfactual tasks supports emergent analogical reasoning in large language models. - Taylor W. Webb; Keith J. Holyoak; Hongjing Lu (CoRR, 2024)

Online network topology shapes personal narratives and hashtag generation. - J. Hunter Priniski; Bryce Linford; Sai Krishna; Fred Morstatter; P. Jeffrey Brantingham; Hongjing Lu (CoRR, 2024)

Human Visual Pathways for Action Recognition versus Deep Convolutional Neural Networks: Representation Correspondence in Late but Not Early Layers. - Yujia Peng; Xizi Gong; Hongjing Lu; Fang Fang (J. Cogn. Neurosci., 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., 2024)

Evaluating Compositional Scene Understanding in Multimodal Generative Models. - Shuhao Fu; Andrew Jun Lee; Anna Wang 002; Ida Momennejad; Trevor Bihl; Hongjing Lu; Taylor Whittington Webb (Trans. Mach. Learn. Res., 2025)

Few-Shot Learning of Visual Compositional Concepts through Probabilistic Schema Induction. - Andrew Jun Lee; Taylor W. Webb; Trevor Bihl; Keith J. Holyoak; Hongjing Lu (CoRR, 2025)

Hierarchical Abstraction Enables Human-Like 3D Object Recognition in Deep Learning Models. - Shuhao Fu; Philip J. Kellman; Hongjing Lu (CoRR, 2025)