To be
an experimental psychologist,
a cognitive neuroscientist,
an AI research scientist.
Google Scholar: https://scholar.google.com/citations?hl=en&user=bE5VCKsAAAAJ
ξ: (co-)first author; ϕ: corresponding author
Preprints & Manuscripts submitted or in preparation:
Lu, Zξϕ., & Golomb, J.D. (submitted). Unfolding spatiotemporal representations of 3D visual perception in the human brain. bioRxiv. https://doi.org/10.1101/2025.08.03.668371 [Preprint Pdf]
Lu, Zξϕ., Wang, Y., & Golomb, J.D. (in revision in Communications Biology). Achieving more human-brain like vision via human EEG representational alignment. Arxiv. https://doi.org/10.48550/arXiv.2401.17231 [Preprint Pdf]
Zeng, Yξϕ., Lu, Z., Hentz, R.E., & Osher, D.E. (submitted). Isolated Configuration: Holistic Processing Beyond the Realm of Faces. bioRxiv. https://doi.org/10.48550/arXiv.2502.16456 [Preprint Pdf]
Lu, Zξϕ., & Wang, Y. (submitted). Category-Selective Neurons in Deep Networks: Comparing Purely Visual and Visual-Language Models. Arxiv. https://doi.org/10.48550/arXiv.2401.17231 [Preprint Pdf]
Zhang, Mξ., Lu, Zξ., Su, H., Kwok, S.C., Li, X., & Wang, Zϕ. (submitted). Musical expertise attenuates cross-modal fast-“same” effect of pitches: an ERP study. PsyArXiv. https://doi.org/10.31234/osf.io/w74nr [Preprint Pdf]
Clayson, P.Eξ., …, Lu, Z., …, Langer. N. (2023 accepted, stage 1 registered replication). Contralateral delay activity as a marker of visual working memory capacity: a multi-site registered replication. PsyArXiv. https://psyarxiv.com/shdea/ [Preprint Pdf]
Lu, Zξϕ., & Golomb, J.D. (in preparation). The influence of task-irrelevant landmarks on spatiotopic localization and object-location binding.
Chiu, T-ξϕ., Lu, Z., & Golomb, J.D. (in preparation). Dynamic Read-Out of Transsaccadic Attentional Remapping from Alpha Band Oscillation.
Lu, Zξϕ., & Golomb, J.D. (in preparation). Exploring human vision through Img2EEG: An encoding framework generating high-resolution temporal EEG signals from visual inputs.
Peer-reviewed publications:
Li, Yξ., Moussa, H.Nξ., ..., Lu, Z., ..., & Sun, Hϕ. (2025). AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists. Proceedings of the 2025 conference on Empirical Methods in Natural Language Processing (EMNLP 2025). https://openreview.net/forum?id=oipUPoGLPy [Pdf]
Cheng, Yξϕ., Shen, T., Lu, Zϕ., Yuan, X., & Jiang, Y. (2025). The performance of deep convolutional neural networks in face recognition and comparison with the human visual system. Journal of Psychological Science (in Chinese), 48(4), 814-825. https://doi.org/10.16719/j.cnki.1671-6981.20250405 [Pdf]
Lu, Zξϕ., & Wang, Y. (2025). Teach CORnet Human fMRI representations for Enhanced Model-Brain Alignment. Cognitive Neurodynamics, 19, 61. https://doi.org/10.1007/s11571-025-10252-y [Pdf]
Ran, Mξ., Lu, Zϕ., & Golomb, J.D. (2025). The influence of a moving object’s location on object identity judgements. Journal of Experimental Psychology: Human Perception and Performance. Advance online publication. https://doi.org/10.1037/xhp0001311 [Pdf]
Chen, Zξ., Chen, Sξ., ..., Lu, Z., ..., & Sun, Hϕ. (2025). ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery. Proceedings of the 12th International Conference on Learning Representations (ICLR 2025). https://openreview.net/forum?id=6z4YKr0GK6 [Pdf]
Lu, Zξϕ., Wang, Y., & Golomb, J.D. (2024). ReAlnet: Achieving more human-brain like vision via human neural representational alignment. Proceedings of the Conference on Cognitive Computational Neuroscience 2024 (CCN 2024). [https://2024.ccneuro.org/pdf/88_Paper_authored_ReAlnet_CCN2024_Authored.pdf][Pdf]
Lu, Zξϕ., & Golomb, J.D. (2024). Probing Human Vision via an Image-to-EEG Encoding Model. Proceedings of the Conference on Cognitive Computational Neuroscience 2024 (CCN 2024). [https://2024.ccneuro.org/pdf/337_Paper_authored_Img2EEG_CCN2024_Authored.pdf][Pdf]
Lu, Zξϕ., & Golomb, J.D. (2024 Accepted; Reviewed Preprint). Human EEG and artificial neural networks reveal disentangled representations of object real-world size in natural images. eLife. Preprint online: https://doi.org/10.7554/eLife.98117.1 [Pdf]
Lu, Zξϕ., Li, W., Nie, L., & Zhao, K. (2024). An easy-to-follow handbook for electroencephalogram data analysis with Python. Brain-X. e64. https://doi.org/10.1002/brx2.64 [Pdf]
Lu, Zξϕ., & Golomb, J.Dϕ. (2024). Dynamic saccade context triggers more stable object-location binding. Journal of Experimental Psychology: General. 153(4), 873-888. (APA "Editor's Choice" Paper!) https://doi.org/10.1037/xge0001545 [Pdf]
Lu, Zξ., & Ku, Yϕ. (2023). Bridging the Gap between EEG and DCNNs Reveals a Fatigue Machanism of Facial Repetition Suppression. iScience. 108501. https://doi.org/10.1016/j.isci.2023.108501 [Pdf]
Lu, Zξϕ. (2023). Visualizing the Mind’s Eye: A Future Perspective on Applications of Image Reconstruction from Brain Signals to Psychiatry. Psychpradiology. kkad022. https://doi.org/10.1093/psyrad/kkad022 [Pdf]
Lu, Zξϕ., & Golomb, J.D. (2023). Object real-world size representations in human brains and artificial neural networks. Proceedings of the Conference on Cognitive Computational Neuroscience 2023 (CCN 2023). https://doi.org/10.32470/CCN.2023.1227-0 [https://2023.ccneuro.org/proceedings/0000909.pdf][Pdf]
Lu, Zξϕ., & Golomb, J.D. (2023). Generate your neural signals from mine: individual-to-individual EEG converters. Proceedings of the 45th Annual Meeting of the Cognitive Science Society (CogSci 2023). https://escholarship.org/uc/item/5xn0885t [Pdf]
Lu, Zξ., Shafer-Skelton, A., & Golomb, J.Dϕ. (2022). Gaze-centered spatial representations in human hippocampus. Proceedings of the Conference on Cognitive Computational Neuroscience 2022 (CCN 2022). https://doi.org/10.32470/CCN.2022.1088-0 [https://2022.ccneuro.org/proceedings/0000614.pdf][Pdf]
Lu, Zξ., & Ku, Yϕ. (2020). NeuroRA: A Python toolbox of representational analysis from multi-modal neural data. Frontiers in Neuroinformatics. 14:563669. https://doi.org/10.3389/fninf.2020.563669 [Pdf][Link][Code]