Hongjing Lu - RankMe

92 papers A* 3B 45Journal 36Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hierarchical abstraction drives human-like 3-D shape processing in deep learning models. PLoS Comput. Biol. Shuhao Fu, Philip J. Kellman, Hongjing Lu
2026	J	`jnl`	Relational Knowledge Distillation Using Fine-tuned Function Vectors. CoRR Andrea Kang, Yingnian Wu, Hongjing Lu
2025	J	`jnl`	A Bayesian Dynamical System Model of Joint Action and Interpersonal Coordination. CoRR Andrew Jun Lee, Grace Qiyuan Miao, Rick Dale, Alexia Galati, Hongjing Lu
2025	J	`jnl`	Analysis of Error Sources in LLM-based Hypothesis Search for Few-Shot Rule Induction. CoRR Aishni Parab, Hongjing Lu, Ying Nian Wu, Sumit Gulwani
2025	B	`conf`	Effect-prompting shifts the narrative framing of networked interactions. CogSci Hunter Priniski, Bryce Linford, Darren Cao, Fred Morstatter, P. Jeffrey Brantingham, Hongjing Lu
2025	J	`jnl`	Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents: Pathways and Paradigms. CoRR Abhijit Chatterjee, Niraj K. Jha, Jonathan D. Cohen, Thomas L. Griffiths, Hongjing Lu, Diana Marculescu, Ashiqur Rasul, Keshab K. Parhi
2025	J	`jnl`	Evaluating Compositional Scene Understanding in Multimodal Generative Models. CoRR Shuhao Fu, Andrew Jun Lee, Anna Wang, Ida Momennejad, Trevor Bihl, Hongjing Lu, Taylor W. Webb
2025	J	`jnl`	Evaluating Compositional Scene Understanding in Multimodal Generative Models. Trans. Mach. Learn. Res. Shuhao Fu, Andrew Jun Lee, Anna Wang, Ida Momennejad, Trevor Bihl, Hongjing Lu, Taylor Whittington Webb
2025	B	`conf`	Few-Shot Learning of Visual Compositional Concepts through Probabilistic Schema Induction. CogSci Andrew Jun Lee, Taylor W. Webb, Trevor Bihl, Keith J. Holyoak, Hongjing Lu
2025	J	`jnl`	Few-Shot Learning of Visual Compositional Concepts through Probabilistic Schema Induction. CoRR Andrew Jun Lee, Taylor W. Webb, Trevor Bihl, Keith J. Holyoak, Hongjing Lu
2025	B	`conf`	Hierarchical Abstraction Enables Human-Like 3D Object Recognition in Deep Learning Models. CogSci Shuhao Fu, Philip J. Kellman, Hongjing Lu
2025	J	`jnl`	Hierarchical Abstraction Enables Human-Like 3D Object Recognition in Deep Learning Models. CoRR Shuhao Fu, Philip J. Kellman, Hongjing Lu
2025	J	`jnl`	Human Semantic Representations of Social Interactions from Moving Shapes. CoRR Yiling Yun, Hongjing Lu
2025	J	`jnl`	Multimodal Function Vectors for Spatial Relations. CoRR Shuhao Fu, Esther Goldberg, Ying Nian Wu, Hongjing Lu
2025	B	`conf`	Neural Representations of Social Interactivity: A Perceptual and Language Model Analysis. CogSci Sajjad Torabian, John A. Pyles, Hongjing Lu, Emily D. Grossman
2025	B	`conf`	The Emergence of Latent Force Representation in Human Perception of Social Interactions. CogSci Yiling Yun, Yi-Chia Chen, Shuhao Fu, Hongjing Lu
2025	B	`conf`	Understanding Human Heuristics in Context-Sensitive Image Captioning. CogSci Yanru Jiang, Rick Dale, Hongjing Lu
2024	J	`jnl`	Evidence from counterfactual tasks supports emergent analogical reasoning in large language models. CoRR Taylor W. Webb, Keith J. Holyoak, Hongjing Lu
2024	J	`jnl`	Human Visual Pathways for Action Recognition versus Deep Convolutional Neural Networks: Representation Correspondence in Late but Not Early Layers. J. Cogn. Neurosci. Yujia Peng, Xizi Gong, Hongjing Lu, Fang Fang
2024	B	`conf`	Online network topology shapes personal narratives and hashtag generation. CogSci Hunter Priniski, Bryce Linford, Sai Krishna, Fred Morstatter, P. Jeffrey Brantingham, Hongjing Lu
2024	J	`jnl`	Online network topology shapes personal narratives and hashtag generation. CoRR J. Hunter Priniski, Bryce Linford, Sai Krishna, Fred Morstatter, P. Jeffrey Brantingham, Hongjing Lu
2024	B	`conf`	Social Sampling in Decision Making for Online and Offline Activities. CogSci Bryce Linford, Hunter Priniski, Hongjing Lu
2024	J	`jnl`	Transformability, generalizability, but limited diffusibility: Comparing global vs. task-specific language representations in deep neural networks. Cogn. Syst. Res. Yanru Jiang, Rick Dale, Hongjing Lu
2023	B	`conf`	Asymmetry in similarity and difference judgments results from asymmetry in the complexity of the relations same and different. CogSci Nicholas Ichien, Nyusha Lin, Keith J. Holyoak, Hongjing Lu
2023	B	`conf`	Human Relational Concept Learning on the Synthetic Visual Reasoning Test. CogSci Andrew Jun Lee, Hongjing Lu, Keith J. Holyoak
2023	B	`conf`	Human similarity judgments of emojis support alignment of conceptual systems across modalities. CogSci Bryor Snefjella, Yiling Yun, Shuhao Fu, Hongjing Lu
2023	B	`conf`	Mapping between the Human Visual System and Two-stream DCNNs in Action Representation. CogSci Yujia Peng, Xizi Gong, Hongjing Lu, Fang Fang
2023	J	`jnl`	Transfer Learning and Analogical Inference: A Critical Comparison of Algorithms, Methods, and Applications. Algorithms Kara Combs, Hongjing Lu, Trevor J. Bihl
2023	J	`jnl`	Two Computational Approaches to Visual Analogy: Task-Specific Models Versus Domain-General Mapping. Cogn. Sci. Nicholas Ichien, Qing Liu, Shuhao Fu, Keith J. Holyoak, Alan L. Yuille, Hongjing Lu
2022	B	`conf`	Causal versus Associative Relations: Do Humans Perceive and Represent Them Differently? CogSci Icy (Yunyi) Zhang, Shuhao Fu, Alice (Zhongrui) Xu, Hongjing Lu
2022	B	`conf`	Children's Acquisition of the Concept of Antonym Across Different Lexical Classes. CogSci Amalia Ionescu, Hongjing Lu, Keith J. Holyoak, Catherine M. Sandhofer
2022	J	`jnl`	Emergent Analogical Reasoning in Large Language Models. CoRR Taylor W. Webb, Keith J. Holyoak, Hongjing Lu
2022	B	`conf`	From Vision to Reasoning: Probabilistic Analogical Mapping Between 3D Objects. CogSci Shuhao Fu, Hongjing Lu, Keith J. Holyoak
2022	B	`conf`	Generative Inferences in Relational and Analogical Reasoning: A Comparison of Computational Models. CogSci Nicholas Ichien, Angela Kan, Keith J. Holyoak, Hongjing Lu
2022	B	`conf`	Impact of Semantic Representations on Analogical Mapping with Transitive Relations. CogSci Bryce Linford, Nicholas Ichien, Keith J. Holyoak, Hongjing Lu
2022	J	`jnl`	In situ bidirectional human-robot value alignment. Sci. Robotics Luyao Yuan, Xiaofeng Gao, Zilong Zheng, Mark Edmonds, Ying Nian Wu, Federico Rossano, Hongjing Lu, Yixin Zhu, Song-Chun Zhu
2022	B	`conf`	Predicting Human Judgments of Relational Similarity: A Comparison of Computational Models Based on Vector Representations of Meaning. CogSci Bryor Snefjella, Nicholas Ichien, Keith J. Holyoak, Hongjing Lu
2022	B	`conf`	Relation Representations in Analogical Reasoning and Recognition Memory. CogSci Nicholas Ichien, Katherine L. Alfred, Sophia Rose Baia, David J. M. Kraemer, Silvia A. Bunge, Hongjing Lu, Keith J. Holyoak
2022	J	`jnl`	Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration. IEEE Robotics Autom. Lett. Xiaofeng Gao, Luyao Yuan, Tianmin Shu, Hongjing Lu, Song-Chun Zhu
2022	J	`jnl`	Zero-shot visual reasoning through probabilistic analogical mapping. CoRR Taylor W. Webb, Shuhao Fu, Trevor Bihl, Keith J. Holyoak, Hongjing Lu
2021	B	`conf`	Aesthetic experience is influenced by causality in biological movements. CogSci Yi-Chia Chen, Frank E. Pollick, Hongjing Lu
2021	J	`jnl`	CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models. CoRR Arjun R. Akula, Keze Wang, Changsong Liu, Sari Saba-Sadiya, Hongjing Lu, Sinisa Todorovic, Joyce Chai, Song-Chun Zhu
2021	J	`jnl`	Distributed Code for Semantic Relations Predicts Neural Similarity during Analogical Reasoning. J. Cogn. Neurosci. Jeffrey N. Chiang, Yujia Peng, Hongjing Lu, Keith J. Holyoak, Martin M. Monti
2021	—	`conf`	Mapping Moral Valence of Tweets Following The Killing of George Floyd. ICWSM Workshops J. Hunter Priniski, Negar Mokhberian, Bahareh Harandizadeh, Fred Morstatter, Kristina Lerman, Hongjing Lu, P. Jeffrey Brantingham
2021	J	`jnl`	Mapping Moral Valence of Tweets Following the Killing of George Floyd. CoRR J. Hunter Priniski, Negar Mokhberian, Bahareh Harandizadeh, Fred Morstatter, Kristina Lerman, Hongjing Lu, P. Jeffrey Brantingham
2021	J	`jnl`	Probabilistic Analogical Mapping with Semantic Relation Networks. CoRR Hongjing Lu, Nicholas Ichien, Keith J. Holyoak
2021	J	`jnl`	Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration. CoRR Xiaofeng Gao, Luyao Yuan, Tianmin Shu, Hongjing Lu, Song-Chun Zhu
2021	B	`conf`	Visual Analogy: Deep Learning Versus Compositional Models. CogSci Nicholas Ichien, Qing Liu, Shuhao Fu, Keith J. Holyoak, Alan L. Yuille, Hongjing Lu
2021	J	`jnl`	Visual analogy: Deep learning versus compositional models. CoRR Nicholas Ichien, Qing Liu, Shuhao Fu, Keith J. Holyoak, Alan L. Yuille, Hongjing Lu
2020	B	`conf`	Contextual Interference Effect in Motor Skill Learning: An Empirical and Computational Investigation. CogSci Julia Schorn, Hongjing Lu, Barbara J. Knowlton
2020	A*	`conf`	Theory-Based Causal Transfer: Integrating Instance-Level Induction and Abstract-Level Structure Learning. AAAI Mark Edmonds, Xiaojian Ma, Siyuan Qi, Yixin Zhu, Hongjing Lu, Song-Chun Zhu
2019	J	`jnl`	A tale of two explanations: Enhancing human trust by explaining robot behavior. Sci. Robotics Mark Edmonds, Feng Gao, Hangxin Liu, Xu Xie, Siyuan Qi, Brandon Rothrock, Yixin Zhu, Ying Nian Wu, Hongjing Lu, Song-Chun Zhu
2019	B	`conf`	Decomposing Human Causal Learning: Bottom-up Associative Learning and Top-down Schema Reasoning. CogSci Mark Edmonds, Siyuan Qi, Yixin Zhu, James Kubricht, Song-Chun Zhu, Hongjing Lu
2019	B	`conf`	Individual Differences in Judging Similarity Between Semantic Relations. CogSci Nicholas Ichien, Hongjing Lu, Keith J. Holyoak
2019	B	`conf`	Individual Differences in Self-Recognition from Body Movements. CogSci Akila Kadambi, Hongjing Lu
2019	A*	`conf`	Learning Perceptual Inference by Contrasting. NeurIPS Chi Zhang, Baoxiong Jia, Feng Gao, Yixin Zhu, Hongjing Lu, Song-Chun Zhu
2019	J	`jnl`	Learning Perceptual Inference by Contrasting. CoRR Chi Zhang, Baoxiong Jia, Feng Gao, Yixin Zhu, Hongjing Lu, Song-Chun Zhu
2019	B	`conf`	Partitioning the Perception of Physical and Social Events Within a Unified Psychological Space. CogSci Tianmin Shu, Yujia Peng, Hongjing Lu, Song-Chun Zhu
2019	B	`conf`	Perception of Continuous Movements from Causal Actions. CogSci Yujia Peng, Nicholas Ichien, Hongjing Lu
2019	B	`conf`	Seeing the Meaning: Vision Meets Semantics in Solving Pictorial Analogy Problems. CogSci Hongjing Lu, Qing Liu, Nicholas Ichien, Alan L. Yuille, Keith J. Holyoak
2019	J	`jnl`	Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning. CoRR Mark Edmonds, Xiaojian Ma, Siyuan Qi, Yixin Zhu, Hongjing Lu, Song-Chun Zhu
2019	J	`jnl`	X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust. CoRR Arjun R. Akula, Changsong Liu, Sari Saba-Sadiya, Hongjing Lu, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu
2018	B	`conf`	Behavioral Oscillations in Verification of Relational Role Bindings. CogSci Yujia Peng, Pratyusha Javangula, Hongjing Lu, Keith J. Holyoak
2018	B	`conf`	Deep Convolutional Networks do not Perceive Illusory Contours. CogSci Nicholas Baker, Gennady Erlikhman, Philip J. Kellman, Hongjing Lu
2018	J	`jnl`	Deep convolutional networks do not classify based on global object shape. PLoS Comput. Biol. Nicholas Baker, Hongjing Lu, Gennady Erlikhman, Philip J. Kellman
2018	B	`conf`	Human Causal Transfer: Challenges for Deep Reinforcement Learning. CogSci Mark Edmonds, James Kubricht, Colin Summers, Yixin Zhu, Brandon Rothrock, Song-Chun Zhu, Hongjing Lu
2018	J	`jnl`	Perception of Human Interaction Based on Motion Trajectories: From Aerial Videos to Decontextualized Animations. Top. Cogn. Sci. Tianmin Shu, Yujia Peng, Lifeng Fan, Hongjing Lu, Song-Chun Zhu
2018	B	`conf`	Physical and Causal Judgments for Object Collisions Depend on Relative Motion. CogSci James Kubricht, Hongjing Lu
2018	A*	`conf`	Spatially Perturbed Collision Sounds Attenuate Perceived Causality in 3D Launching Events. VR Duotun Wang, James Kubricht, Yixin Zhu, Wei Liang, Song-Chun Zhu, Chenfanfu Jiang, Hongjing Lu
2017	B	`conf`	Consistent Probabilistic Simulation Underlying Human Judgment in Substance Dynamics. CogSci James Kubricht, Yixin Zhu, Chenfanfu Jiang, Demetri Terzopoulos, Song-Chun Zhu, Hongjing Lu
2017	B	`conf`	Inferring Human Interaction from Motion Trajectories in Aerial Videos. CogSci Tianmin Shu, Yujia Peng, Lifeng Fan, Hongjing Lu, Song-Chun Zhu
2017	J	`jnl`	The Martian: Examining Human Physical Judgments across Virtual Gravity Fields. IEEE Trans. Vis. Comput. Graph. Tian Ye, Siyuan Qi, James Kubricht, Yixin Zhu, Hongjing Lu, Song-Chun Zhu
2017	B	`conf`	Visuomotor Adaptation and Sensory Recalibration in Reversed Hand Movement Task. CogSci Jenny Lin, Yixin Zhu, James Kubricht, Song-Chun Zhu, Hongjing Lu
2016	J	`jnl`	A Bayesian Theory of Sequential Causal Learning and Abstract Transfer. Cogn. Sci. Hongjing Lu, Randall R. Rojas, Tom Beckers, Alan L. Yuille
2016	B	`conf`	Causal Action: A Fundamental Constraint on Perception of Bodily Movements. CogSci Yujia Peng, Steven M. Thurman, Hongjing Lu
2016	B	`conf`	Critical Features of Joint Actions that Signal Human Interaction. CogSci Tianmin Shu, Steven M. Thurman, Dawn Chen, Song-Chun Zhu, Hongjing Lu
2016	J	`jnl`	Neural adaptation in pSTS correlates with perceptual aftereffects to biological motion and with autistic traits. NeuroImage Steven M. Thurman, Jeroen J. A. van Boxtel, Martin M. Monti, Jeffrey N. Chiang, Hongjing Lu
2016	B	`conf`	Probabilistic Simulation Predicts Human Performance on Viscous Fluid-Pouring Problem. CogSci James Kubricht, Chenfanfu Jiang, Yixin Zhu, Song-Chun Zhu, Demetri Terzopoulos, Hongjing Lu
2015	B	`conf`	Animation Facilitates Source Understanding and Spontaneous Analogical Transfer. CogSci James Kubricht, Hongjing Lu, Keith J. Holyoak
2015	B	`conf`	Learning and Generalizing Cross-Category Relations Using Hierarchical Distributed Representations. CogSci Dawn Chen, Hongjing Lu, Keith J. Holyoak
2014	B	`conf`	Anticipating an Effect from Predictive Visual Sequences: Development of Infants' Causal Inference from 9 to 18 Months. CogSci Jeffrey K. Bye, Bryan Nguyen, Hongjing Lu, Scott P. Johnson
2014	B	`conf`	Generic Priors Yield Competition Between Independently-Occurring Preventive Causes. CogSci Derek Powell, Alice Merrick, Hongjing Lu, Keith J. Holyoak
2013	B	`conf`	Generative Inferences Based on a Discriminative Bayesian Model of Relation Learning. CogSci Dawn Chen, Hongjing Lu, Keith J. Holyoak
2013	B	`conf`	Generic Priors Yield Competition Between Independently-Occurring Causes. CogSci Derek Powell, Alice Merrick, Hongjing Lu, Keith J. Holyoak
2011	B	`conf`	Uncertainty and dependency in causal inference. CogSci Christopher Carroll, Patricia W. Cheng, Hongjing Lu
2010	—	`conf`	A unified model of short-range and long-range motion perception. NIPS Shuang Wu, Xuming He, Hongjing Lu, Alan L. Yuille
2010	—	`conf`	Functional form of motion priors in human motion perception. NIPS Hongjing Lu, Tungyou Lin, Alan L. F. Lee, Luminita A. Vese, Alan L. Yuille
2009	—	`conf`	Modeling the spacing effect in sequential category learning. NIPS Hongjing Lu, Matthew Weiden, Alan L. Yuille
2008	—	`conf`	Model selection and velocity estimation using novel priors for motion patterns. NIPS Shuang Wu, Hongjing Lu, Alan L. Yuille
2008	—	`conf`	Motion Integration Using Competitive Priors. Statistical and Geometrical Approaches to Visual Motion Analysis Shuang Wu, Hongjing Lu, Alan L. F. Lee, Alan L. Yuille
2007	—	`conf`	The Noisy-Logical Distribution and its Application to Causal Inference. NIPS Alan L. Yuille, Hongjing Lu
2005	—	`conf`	Ideal Observers for Detecting Motion: Correspondence Noise. NIPS Hongjing Lu, Alan L. Yuille