2023
Combs, K., Lu, H., & Bihl, T. J. (2023). Transfer Learning and Analogical Inference: A Critical Comparison of Algorithms, Methods, and Applications. Algorithms, 16(3), 146. [PDF]
Ichien, N., Alfred, K. L., Baia, S., Kraemer, D. J., Holyoak, K. J., Bunge, S. A., & Lu, H. (2023). Relational and lexical similarity in analogical reasoning and recognition memory: Behavioral evidence and computational evaluation. Cognitive Psychology, 141, 101550. [PDF]
2022
Yuan, L., Gao, X., Zheng, Z., Edmonds, M., Wu, Y.N., Rossano, F., Lu, H., Zhu, Y. and Zhu, S.C. (2022). In situ bidirectional human-robot value alignment. Science Robotics, 7(68), eabm4183. [PDF]
Holyoak, K. J., Ichien, N., & Lu, H. (2022). From semantic vectors to analogical mapping. Current Directions in Psychological Science, 31(4), 355-361. [PDF]
Chen, Y., Pollick, F., & Lu, H. (2022). Aesthetic preferences for causality in biological movements arise from visual processes. Psychonomic Bulletin & Review, 29(5), 1803-1811. [PDF]
Lu, H., Ichien, N., & Holyoak, K. J. (2022). Probabilistic analogical mapping with semantic relation networks. Psychological Review, 129(5), 1078-1103. [PDF]
Gao, X., Yuan, L., Shu, T., Lu, H., & Zhu, S. C. (2022). Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration. IEEE Robotics and Automation Letters. [PDF]
Ichien, N., Lu, H., & Holyoak, K. J. (2022). Predicting patterns of similarity among abstract semantic relations. Journal of Experimental Psychology: Learning, Memory, and Cognition, 48(1), 108–121. https://doi.org/10.1037/xlm0001010. [PDF]
Fu, S., Holyoak, K. J., & Lu, H. (2022). From vision to reasoning: Probabilistic analogical mapping between 3D objects. In J. Culbertson, A. Perfors, H. Rabagliati, & V. Ramenzoni (Eds.), Proceedings of the 44th Annual Meeting of the Cognitive Science Society. Cognitive Science Society. [PDF]
Ichien, N., Alfred, K. L., Baia, S., Kraemer, D. J. M., Bunge, S. A., Lu, H., & Holyoak, K. J. (2022). Relation representations in analogical reasoning and recognition memory. In J. Culbertson, A. Perfors, H. Rabagliati, & V. Ramenzoni (Eds.), Proceedings of the 44th Annual Meeting of the Cognitive Science Society. Cognitive Science Society. [PDF]
Ichien, N., Kan, A., Holyoak, K. J., & Lu, H. (2022). Generative inferences in relational and analogical reasoning: A comparison of computational models. In J. Culbertson, A. Perfors, H. Rabagliati, & V. Ramenzoni (Eds.), Proceedings of the 44th Annual Meeting of the Cognitive Science Society. Cognitive Science Society. [PDF]
Ionescu, A., Lu, H., Holyoak, K. J., & Sandhofer, C. M. (2022). Children’s acquisition of the concept of antonym across different lexical classes. In J. Culbertson, A. Perfors, H. Rabagliati, & V. Ramenzoni (Eds.), Proceedings of the 44th Annual Meeting of the Cognitive Science Society. Cognitive Science Society. [PDF]
Linford, B., Ichien, N., Holyoak, K. J., & Lu, H. (2022). Impact of semantic representations on analogical mapping with transitive relations. In J. Culbertson, A. Perfors, H. Rabagliati, & V. Ramenzoni (Eds.), Proceedings of the 44th Annual Meeting of the Cognitive Science Society. Cognitive Science Society. [PDF]
Snefjella, B., Ichien, N., Holyoak, K. J., & Lu, H. (2022). Predicting human judgments of relational similarity: comparison of computational models based on vector representations of meaning. In J. Culbertson, A. Perfors, H. Rabagliati, & V. Ramenzoni (Eds.), Proceedings of the 44th Annual Meeting of the Cognitive Science Society. Cognitive Science Society. [PDF]
2021
Akula, A. R., Wang, K., Liu, C., Saba-Sadiya, S., Lu, H., Todorovic, S., Chia, J., & Zhu, S. C. (2021). CX-ToM: Counterfactual explanations with theory-of-mind for enhancing human trust in image recognition models. iScience, 103581. [PDF]
Peng, Y., Lu, H., & Johnson, S. P. (2021). Infant perception of causal motion produced by human and inanimate objects. Infant Behavior and Development. 10.1016/j.infbeh.2021.101615. [PDF]
Shu, T., Peng, Y., Zhu, S., Lu, H. (2021). A unified psychological space for human perception of physical and social events. Cognitive Psychology, 128, 101398. [PDF]
Lee, A. L. F, Liu, Z., & Lu, H. (2021). Parts beget parts: Bootstrapping hierarchical object representations through visual statistical learning. Cognition, 209, 104515. [PDF]
Holyoak, K. J., & Lu, H. (2021). Emergence of relational reasoning. Current Opinion in Behavioral Sciences, 37, 118-124. [PDF]
Peng, Y., Lee, H., Shu, T., & Lu, H. (2021). Exploring biological motion perception in two-stream convolutional neural networks. Vision Research, 178, 28-40. [PDF]
Chiang, J. N., Peng, Y., Lu, H., Holyoak, K. J., & Monti, M. M. (2021). Distributed code for semantic relations predicts neural similarity during analogical reasoning. Journal of Cognitive Neuroscience, 33(3), 377-389. [PDF]
Ichien, N., Liu, Q., Fu, S., Holyoak, K. J., Yuille, A., & Lu, H. (2021). Visual analogy: deep learning versus compositional models. Proceedings of the 43rd Annual Meeting of the Cognitive Science Society. Cognitive Science Society. [PDF]
Chen, Y., Pollick, F., & Lu, H. (2021). Aesthetic experience is influenced by causality in biological movements. Proceedings of the 43rd Annual Meeting of the Cognitive Science Society. Cognitive Science Society. [PDF]
Priniski, J.H., Mokhberian, N., Harandizadeh, B., Morstatter, F., Lerman, K., Lu, H., Brantingham, P.J. (2021), Mapping Moral Valence of Tweets Following the Killing of George Floyd. 6th International Workshop on Social Sensing. [PDF]
2020
Baker, N., Lu, H., Erlikhman, G., & Kellman, P. (2020). Local features and global shape information in object classification by deep convolutional neural networks. Vision Research. 172, 46-61. [PDF]
Kadambi, A., Ichien, N., Qiu, S. & Lu, H. (2020).Understanding the visual perception of awkwardness: How greetings go awry. Attention, Perception, & Psychophysics. 1-14. [PDF]
Ichien, N., Lu, H., & Holyoak, K. (2020). Verbal analogy problem sets: an inventory of testing materials. Behavior Research Methods. 1-14. [PDF] [Verbal Analogy Dataset]
Peng, Y. Ichien, N., & Lu, H. (2020). Causal actions enhance perception of continuous body movements. Cognition, 194. [PDF ] [LINK] [DEMO]
Edmonds, M., Ma, X., Qi, S., Zhu, Y., Lu, H., & Zhu, S. C. (2020, April). Theory-based causal transfer: Integrating instance-level induction and abstract-level structure learning. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 34, No. 02, pp. 1283-1291). [PDF]
Schorn, J. M., Lu, H., & Knowlton, B. J. (2020) Contextual Interference Effect in Motor Skill Learning: An Empirical and Computational Investigation. Proceedings of the 42nd Annual Meeting of the Cognitive Science Society. Cognitive Science Society. [PDF]
2019
Edmonds, M., Gao, F., Liu, H., Xie, X., Qi, S., Rothrock, B., Zhu, Y., Wu, Y. N., Lu, H., & Zhu, S. C. (2019). A tale of two explanations: Enhancing human trust by explaining robot behavior. Science Robotics, 4(37). [PDF]
Lu, H., Wu, Y, & Holyoak, K.H. (2019). Emergence of analogy from relation learning. Proceedings of the National Academy of Sciences, 116, 4176-4181. [PDF] [Supplemental materials] [MATLAB code]
Burling, J. M., Kadambi, A., Safari, T., & Lu, H. (2019). The impact of autistic traits on self-recognition of body movements. Frontiers in Psychology, 9, 2687. [PDF] [DEMO]
Zhang, C., Jia, B., Gao, F., Zhu, Y., Lu, H., & Zhu, S. C. (2019). Learning perceptual inference by contrasting. In Advances in Neural Information Processing Systems, 1073-1085. [PDF]
Shu, T., Peng, Y, Lu, H. & Zhu, S. (2019). Partitioning the perception of physical and social events with a unified psychological space. Proceedings of the 41st Annual Meeting of the Cognitive Science Society. Montreal, Canada: Cognitive Science Society. [PDF] [DEMO]
Edmonds, M., Qi, S., Zhu, Y., Kubricht, J., Zhu, S., & Lu, H. (2019). Decomposing human causal leanring: bottom-up associative learning and top-down schema reasoning. Proceedings of the 41st Annual Meeting of the Cognitive Science Society. Montreal, Canada: Cognitive Science Society. [PDF] [DEMO]
Kadambi, A. & Lu, H. (2019). Individual differences in self-recognition from body movements. Proceedings of the 41st Annual Meeting of the Cognitive Science Society. Montreal, Canada: Cognitive Science Society. [PDF]
Lu, H., Liu, Q., Ichien, N., Yuille, A., & Holyoak, K. (2019). Seeing the meaning: vision meets semantics in solving pictorial analogy problems. Proceedings of the 41st Annual Meeting of the Cognitive Science Society. Montreal, Canada: Cognitive Science Society. [PDF]
Peng, Y., Ichien, N., & Lu, H. (2019). Perception of continuous movements from causal actions. Proceedings of the 41st Annual Meeting of the Cognitive Science Society. Montreal, Canada: Cognitive Science Society. [PDF]
2018
Baker, N., Lu, H, Erlikhman, G. & Kellman, P. J. (2018). Deep convolutional networks do not classify based on global object shape. PLoS Computational Biology, 14(12). [PDF]
Keane, B., Peng, Y., Demmin, D., Silverstein, S. M., & Lu, H. (2018). Intact perception of coherent motion, dynamic rigid form, and biological motion in chronic schizophrenia. Psychiatry Research, 268, 53-59. [PDF] [DEMO]
Baker, N., Erlikhman, G., Kellman, P., & Lu, H. (2018). Deep convoutional networks do not perceive illusory contours. Proceedings of the 40th Annual Meeting of the Cognitive Science Society. Madison, WI: Cognitive Science Society. [PDF]
Peng, Y., Javangula, R., Lu, H. & Holyoak, K. (2018). Behaviroal oscillations in verification of relational role bindings. Proceedings of the 40th Annual Meeting of the Cognitive Science Society. Madison, WI: Cognitive Science Society. [PDF]
Kubricht, J., & Lu, H. (2018). Physical and causal judgments for objects collisions depend on relative motion. Proceedings of the 40th Annual Meeting of the Cognitive Science Society. Madison, WI: Cognitive Science Society. [PDF]
Edmonds, M.,Kubricht, J., Summers, C., Zhu, Y., Rothrock, B., Zhu, S. C., & Lu, H. (2018). Human causal transfer: Challenges for deep reinforcement learning. Proceedings of the 40th Annual Meeting of the Cognitive Science Society. Madison, WI: Cognitive Science Society. [PDF]
Wang, D., Kubricht, J., Zhu, Y., Liang, W., Zhu, S. C., Jiang, C., & Lu, H. (2018). Spatially Perturbed Collision Sounds Attenuate Perceived Causality in 3D Launching Events. In IEEE Conference on Virtual Reality and 3D User Interfaces. [PDF]
Shu, T.*, Peng, Y.*, Fan, L., Lu, H. & Zhu, S. (2018). Perception of human interaction based on motion trajectories: from aerial videos to decontextualized animations. Topics in Cognitive Science, 10(1), 225-241. *Equal contributors. [PDF] [DEMO]
Burling, J., & Lu, H. (2018). Categorizing coordination from the perception of joint actions. Attention, Perception, & Psychophysics.80: 7-13. [PDF]
2017
Su, J., & Lu, H. (2017). Flash-lag effects in biological motion interact with body orientation and action. Vision Research. 140, 13-24. [PDF]
Kubricht, J. R., Lu, H., & Holyoak, K. J. (2017). Intuitive physics: current research and controversies. Trends in cognitive sciences. 21(10), 749-759. [PDF]
Lu, H., Tjan, B. S., & Liu, Z. (2017). Human efficiency in detecting and discriminating biological motion. Journal of Vision. 17(6):4, 1-14. [PDF]
Shu, T.*, Peng, Y.*, Fan, L., Lu, H. & Zhu, S. (2017). Inferring human interaction from motion trajectories in aerial videos. Proceedings of the 39th Annual Meeting of the Cognitive Science Society. London, UK: Cognitive Science Society. *Equal contributors. Computational modeling prize in Perception/Action from the Cognitive Science Society. [PDF] [DEMO]
Kubricht, J.*, Zhu, Y.*, Jiang, C.*, Terzopoulos, D., Zhu, S., & Lu, H. (2017). Consistent probabilistic simulation underlying human judgment in substance dynamics. Proceedings of the 39th Annual Meeting of the Cognitive Science Society. London, UK: Cognitive Science Society. *Equal contributors. [PDF]
Lin, J., Zhu, Y., Kubricht, J., Zhu, S., & Lu, H. (2017). Visuomotor adaptation and sensory recalibration in reversed hand movement task. Proceedings of the 39th Annual Meeting of the Cognitive Science Society. London, UK: Cognitive Science Society. [PDF]
Peng, Y., Thurman S., & Lu, H. (2017). Causal action: a fundamental constraint on perception and inference with body movements. Psychological Science, 28(6), 789-807. [PDF] [DEMO]
Ye, T., Qi, S., Kubricht, J., Zhu, Y., Lu, H., Zhu, SC. (2017). The Martian: examining human physical judgments across virtual gravity fields. IEEE Transactions on Visualization and Computer Graphic, 23(4), 1399-1408. [PDF]
Kubricht, J. R., Lu, H., & Holyoak, K. J. (2017). Individual differences in spontaneous analogical transfer. Memory & Cognition. 45, 576-588. [PDF]
van Boxtel, J., Peng, Y., Su, J., & Lu, H. (2017). Individual differences in high-level biological motion tasks correlate with autistic traits. Vision Research. 141, 136-144. [PDF]
Chen, D., Lu, H., & Holyoak, K. J. (2017). Generative inferences based on learned relations. Cognitive Science. 41, 1062-1092. [PDF]
2016
Su, J., van Boxtel, J. A., & Lu, H. (2016). Social interactions receive priority to conscious perception. PLoS ONE. 11(8). doi: 10.1371/journal.pone.0160468 [PDF]
van Boxtel, J., Dapretto, M., & Lu, H. (2016). Intact recognition, but attentuated adaptation, for biological motion in youth with autism spectrum disorder. Autism Research. 9(10), 1103-1113. [PDF]
Thurman, S.M., van Boxtel, J. J. A, Monti, M. M., Chiang, J. N., & Lu, H. (2016). Neural adaptation in pSTS correlates with perceptual aftereffects to biological motion and with autistic traits. NeuroImage. 136: 146-61. [PDF]
Kubricht, J., Jiang C., Zhu, Y., Zhu, S-C., Terzopoulos D., & Lu, H. (2016). Probabilistic simulation predicts human performance on viscous water-pouring problem. Proceedings of the 38th Annual Meeting of the Cognitive Science Society. Philadelphia, Pennsylvania: Cognitive Science Society. [PDF]
Shu, T., Thurman, S., Chen, D., Zhu, S-C, & Lu, H. (2016). Critical features of joint actions that signal human interaction. Proceedings of the 38th Annual Meeting of the Cognitive Science Society. Philadelphia, Pennsylvania: Cognitive Science Society. [PDF]
Peng, Y., Thurman, S. & Lu, H. (2016). Causal action: a fundamental constraint on perception of bodily movements. Proceedings of the 38th Annual Meeting of the Cognitive Science Society. Philadelphia, Pennsylvania: Cognitive Science Society. [PDF]
Powell, D., Merrick, A., Lu, H., & Holyoak, K. (2016). Causal competition based on generic priors.Cognitive Psychology, 86, 62-86. [PDF]
Thurman, S. & Lu, H. (2016). A comparison of form processing involved in the perception of biological and non-biological movements. Journal of Vision, 16(1):1, 1-16. [PDF]
Thurman, S. & Lu, H. (2016). Revisiting the importance of common body motion in human action perception. Attention, Perception & Psychophysics, 78(1), 30-36. [PDF]
Lu, H., Rojas, R. R., Beckers, T., & Yuille, A. L. (2016). A Bayesian theory of sequential causal learning and abstract transfer. Cognitive Science. 40(2), 404-39. [PDF] [Supplemental]
2015
Kubricht, J., Lu, H., & Holyoak, K. J. (2015). Animation facilitates source understanding and spontaneous analogical transfer. Proceedings of the 37th Annual Conference of the Cognitive Science Society. [PDF]
Chen, D., Lu, H., & Holyoak, K. J. (2015). Learning and generalizing cross-category relations using hierarchical distributed representations. Proceedings of the 37th Annual Conference of the Cognitive Science Society. [PDF]
van Boxtel, J. & Lu, H. (2015). Understanding biological motion, in Emerging Trends in the Social and Behavioral Sciences (eds.) Robert Scott and Stephen Kosslyn, Hoboken, NJ: John Wiley and Sons.
van Boxtel, J. & Lu, H. (2015). Joints and their relations as critical features in action discrimination: Evidence from a classification image method. Journal of Vision. 15(1):20, 1-17. [PDF]
2014
Thurman, S., & Lu, H. (2014). Perception of social interactions for spatially scrambled biological motion. PLoS ONE. 9(11), 1-12. [PDF]
Powell, D., Merrick, M. A., Lu, H., & Holyoak, K. J. (2014). Generic priors yield competition between independently occurring preventive causes. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th Annual Conference of the Cognitive Science Society (pp. 2893-2798). Austin, TX: Cognitive Science Society. [PDF]
Bye, J. K., Nguyen, B. D., Lu, H., & Johnson, S. P. (2014). Anticipating an effect from predictive visual sequences: development of infants’ causal inference from 9 to 18 months. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th Annual Conference of the Cognitive Science Society (pp. 1976-1981). Austin, TX: Cognitive Science Society. [PDF]
Chen, D., Lu, H., & Holyoak, K. J. (2014). The discovery and comparison of symbolic magnitudes. Cognitive Psychology, 71 , 27-54. [PDF] [MATLAB code]
Lee, A. L. F., & Lu, H. (2014). Global motion aftereffect does not depend on awareness of the adapting motion direction. Attention, Perception & Psychophysics , 76 (3),766-779. [PDF] (Best Paper Award)
Thurman, S. M., & Lu, H. (2014). Bayesian integration of position and orientation cues in perception of biological and non-biological forms. Frontiers in Human Neuroscience, 8: 91, 1-21. [PDF]
2013
van Boxtel, J. & Lu , H. (2013). A biological motion toolbox for reading, displaying and manipulating motion capture data in research settings . Journal of Vision, 13(12):7, 1-16. [PDF]
Chen, D., Lu, H., & Holyoak, K. J. (2013). Generative inferences based on a discriminative Bayesian model of relation learning. Proceedings of the Thirty-five Annual Conference of the Cognitive Science Society. [PDF]
Powell , D., Merrick, M. A., Lu, H., & Holyoak, K. J. (2013). Generic priors yield competition between independently-occurring causes. Proceedings of the Thirty-five Annual Conference of the Cognitive Science Society. [PDF]
Keane , B., Lu, H., Papathomas, T., Silverstein, S., & Kellman, P. (2013). Reinterpreting behavioral receptive fields: lightness induction alters visually completed shape. PLoS ONE, 8(6), 1-11. [PDF]
Thurman , S. M., & Lu, H. (2013). Physical and biological constraints govern perceived animacy of scrambled human forms. Psychological Science, 24, 1133-1141. [PDF]
Carroll, C., Cheng, P., & Lu, H. (2013). Inferential dependencies in causal inference: A comparison of belief-distribution and associative approaches. Journal of Experimental Psychology: General, 142(3): 845-863. [PDF]
van Boxtel, J. & Lu, H. (2013). Impaired global, and compensatory local, biological motion processing in people with high levels of autistic traits. Frontiers in Psychology, 4:209. doi: 100.3389/fpsyg.2013.00209 [PDF]
van Boxtel , J., & Lu, H. (2013). General commentary: A predictive coding perspective on autism spectrum disorders. Frontiers in Psychology, 4:19. [PDF]
Thurman , S. M. & Lu, H. (2013). Complex interactions between spatial, orientation and motion cues for biological motion perception across visual space. Journal of Vision, 13(2):8, 1-18 . [PDF] [DEMO]
Lu H. (2013). Modeling causal learning. In H. Pashler (Ed.), Encyclopedia of the mind. Thousand Oaks, CA: Sage
2012
Lu, H., Chen, D., & Holyoak, K. J. (2012). Bayesian analogy with relational transformations. Psychological Review, 119(3), 617-648. [PDF] [MATLAB Code]
van Boxtel, J., & Lu, H. (2012). Signature movements lead to efficient search for threatening actions. PLoS ONE , 7(5): e37085, 1-6. doi:10.1371/journal.pone.0037085. [PDF] [Supplemental document]
Lee, A. L. F, & Lu, H. (2012). Two forms of aftereffects induced by transparent motion reveal multilevel adaptation. Journal of Vision, 12(4), 1-13. [PDF]
Keane, B. P., Lu, H., Papathomas, T. V., Silverstein, S. M., & Kellman, P. J. (2012). Is interpolation cognitively encapsulated? Measuring the effects of belief on Kanizsa shape discrimination and illusory contour formation. Cognition, 123, 404-418. [PDF]
2011
van Boxtel, J., & Lu, H. (2011). Visual search by action category. Journal of Vision. 11(7), 1-14. [PDF]
Carroll, C., Cheng, P., & Lu, H. (2011). Uncertainty and dependency in causal inference. Proceedings of the 33 rd Annual Conference of the Cognitive Science Society. Boston, MA: Cognitive Science Society. [PDF].
Holyoak, K. J., & Lu, H. (2011). What the Bayesian framework has contributed to understanding cognition: Causal learning as a case study. Behavioral and Brain Sciences, 34, 203-204. [PDF]
Huang, X., Lu, H., Zhou, Y., & Liu, Z. (2011). General and specific perceptual learning in radial speed discrimination. Journal of Vision. 11(4), 1-11. [PDF]
2010
Lu, H., Lin, T., Lee, A., Vese, L., & Yuille, A. L. (2010). Functional form of motion priors in human motion perception. Advances in Neural Information Processing Systems, 23, 1495-1503. Cambridge, MA: MIT Press. [PDF]
Wu, S., He, X., Lu, H., & Yuille, A. L. (2010). A unified model of short-range and long-range motion perception. Advances in Neural Information Processing Systems , 23, 2478-2486. Cambridge, MA: MIT Press. [PDF]
Holyoak, K. J., Lee, H. S., & Lu, H. (2010). Analogical and category-based inference: A theoretical integration with Bayesian causal models. Journal of Experimental Psychology: General, 139(4), 702-27. [PDF] [MATLAB code]
Lu, H. (2010). Structural processing in biological motion perception. Journal of Vision. 10(12):13, 1-13. [PDF]
Chen, D., Lu, H., & Holyoak, K. J. (2010). Learning and generalization of abstract semantic relations: Preliminary investigation of Bayesian approaches. Proceedings of the 32nd Annual Conference of the Cognitive Science Society. [PDF]
Carroll, C. D., Cheng, P. W., & Lu, H. (2010). Uncertainty in causal inference: The case of retrospective revaluation. Proceedings of the 32nd Annual Conference of the Cognitive Science Society. [PDF]
Lee, A. & Lu, H. (2010). A comparison of global motion perception using a multiple-aperture stimulus. Journal of Vision. 10(4): 9; 1-16. doi:10.1167/10.4.9. [PDF]
2009
Lu, H., Weiden, M., & Yuille, A. (2009). Modeling the spacing effect in sequential category learning. In Y. Bengio and D. Schuurmans and J. Lafferty and C. K. I. Williams & A. Culotta.Advances (Eds.): Advances in Neural Information Processing Systems 22. 1159—1167. [PDF]
Lee, H. S., Holyoak, K. J., & Lu, H. (2009). Integrating analogical inference with Bayesian causal models. In B. Kokinov, D. Gentner, & K. J. Holyoak (Eds.), New frontiers in analogy research: Proceedings of the Second International Conference on Analogy (pp. 300-309). Sofia, Bulgaria: New Bulgarian University.
Lu, H., & Liu, Z. (2009). When a never-seen but less-occluded image is better recognized: Evidence from same-different matching experiments and a model. Journal of Vision, 9(4):4, 1-12. [PDF]
Wu, S., Lu, H., & Yuille, A. (2009). Model selection and parameter estimation in motion perception. In D. Koller , D. Schuurmans, Y. Bengio & L. Bottou (Eds.): Advances in Neural Information Processing Systems, 21, 1793-1800. Cambridge, MA: MIT Press. [PDF]
2008
Lu, H., & Liu, Z. (2008). When a never-seen but less-occluded image is better recognized: Evidence from old-new memory experiments. Journal of Vision, 8 (7), 1-9. [PDF]
Lu, H., Yuille, A., Liljeholm, M., Cheng, P. W., Holyoak, K. J. (2008). Bayesian generic priors for causal learning. Psychological Review, 115(4), 955-984. [PDF] , [MATLAB CODE 1] , [[MATLAB CODE 2] require MATLAB Symbolic Toolbox, but with faster computation]
Lu, H., Rojas, R., Beckers, T., & Yuille, A. (2008). Sequential causal learning in humans and rats. Proceedings of the Twenty-ninth Annual Conference of the Cognitive Science Society. [PDF]
Yuille, A. L., & Lu, H. (2008). The noisy-logical distribution and its application to causal inference. Advances in neural information processing systems, Vol. 20. Cambridge, MA: MIT Press. [PDF]
2007
Keane, B., Lu, H., & Kellman, P (2007). Classification images reveal spatiotemporal contour interpolation. Vision Research , 47, 3460-75. [PDF]
Huang, X., Lu, H., Tjan, B., Zhou, Y., & Liu, Z. (2007). Motion perceptual learning: When only task-relevant information is learned. Journal of Vision, 7(10), 1-10. [PDF]
Lu, H., Yuille, A., Liljeholm, M., Cheng, P. W., & Holyoak, K. J. (2007). Bayesian models of judgments of causal strength: A comparison. In D. S. McNammara & G. Trafton (Eds.), Proceedings of the Twenty-ninth Annual Conference of the Cognitive Science Society (pp. 1241-1246). [PDF]
2006
Lu, H., & Liu, Z. (2006). Computing dynamic classification images from correlation maps. Journal of Vision, 6(4), 475-483. [PDF]
Lu, H., Tjan, B., & Liu, Z. (2006). Shape recognition alters sensitivity in stereoscopic depth discrimination. Journal of Vision, 6(1), 75-78. [PDF]
Lu, H., Yuille, A., Liljeholm, M., Cheng, P. W., & Holyoak, K. J. (2006). Modeling causal learning using Bayesian generic priors on generative and preventive powers. In R. Sun & N. Miyake (Eds.), Proceedings of the Twenty-eighth Annual Conference of the Cognitive Science Society (pp. 519-524). Mahwah, NJ: Erlbaum. [PDF]
Lu, H., Morrison, R. G., Hummel, J. E., & Holyoak, K. J. (2006). Role of gamma-band synchronization in priming of form discrimination for multi-object displays. Journal of Experimental Psychology: Human Perception and Performance, 32, 610-617. [PDF]
Lu, H., & Yuille, A. L. (2006). Ideal observers for detecting motion: Correspondence noise. In B. Schölkopf, J. Platt, & T. Hofmann (Eds.), Advances in neural information processing system s, Vol. 19 (pp. 827-834). Cambridge, MA: MIT Press. [PDF]
Hou, F., Lu, H., Zhou, Y., & Liu, Z. (2006). Amodal completion impairs stereo acuity discrimination. Vision Research, 46(13), 2061-2068. [PDF]
Lu, H., Zavagno, D., & Liu, Z. (2006). The glare effect does not give rise to a longer lasting afterimage. Perception, 35(5), 701-707. [PDF]
2005 & before
Lu, H., Qian, N., & Liu, Z. (2004). Learning motion discrimination with suppressed MT. Vision Research, 44, 1817-1825. [PDF]
Jiar, Y., & Lu, H. (2000). Fish-eye lens camera calibration for high accuracy stereo vision system. Proceedings of SPIE International Society for Optical Engineering, 4117, 280-288.
Lu, H., Jiar, Y. , Liu, W., Zhu, Y., & Xu, A. (2000). Stereo vision using fish-eye lens cameras for dense depth imaging. Proceedings of International Conference on Image and Graphics.
Jiar, Y. , Lu, H., Xu, A., & Liu, W. (2000). Fish-eye lens camera calibration for stereo vision system. Chinese Journal of Computer Science , 23 , 1215-1219.
Jiar, Y. , Lu, H., & Liu, W. (2000). Fish-eye lens camera stereo vision for dense depth map recovery. Chinese Journal of Computer Science , 23 , 1332-1336.
Lu, H., & Jiar, Y. (2000). Dense depth image recovery using multi-baseline stereo system. Journal of Beijing Institute of Technology , 20 , 69-72.
Lu, H., & Jiar, Y. (1998). High resolution depth image recovery using multi-baseline stereo system. Chinese Journal of Robotics , 20 , 460-464.