NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data. - Zitong Lu; Yixuan Ku (Frontiers Neuroinformatics, 2020)

Generate your neural signals from mine: individual-to-individual EEG converters. - Zitong Lu; Julie D. Golomb (CogSci, 2023)

Conditional counterfactual causal effect for individual attribution. - Ruiqi Zhao; Lei Zhang; Shengyu Zhu 001; Zitong Lu; Zhenhua Dong; Chaoliang Zhang; Jun Xu 001; Zhi Geng; Yangbo He (UAI, 2023)

ReAlnet: Achieving More Human Brain-Like Vision via Human Neural Representational Alignment. - Zitong Lu; Yile Wang 003; Julie D. Golomb (CoRR, 2024)

Teaching CORnet Human fMRI Representations for Enhanced Model-Brain Alignment. - Zitong Lu; Yile Wang 003 (CoRR, 2024)

Reliability evaluation of a multi-state system with dependent components and imprecise parameters: A structural reliability treatment. - Lechang Yang; Xinyao Zhang; Zitong Lu; Yuqiang Fu; David Moens; Michael Beer (Reliab. Eng. Syst. Saf., 2024)

Bayesian Analysis of Lifetime Delayed Degradation Process for Destructive/Nondestructive Inspection. - Siyi Chen; Zitong Lu; Qingpei Hu; Min Xie 001; Dan Yu (IEEE Trans. Reliab., 2024)

ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery. - Ziru Chen; Shijie Chen; Yuting Ning; Qianheng Zhang; Boshi Wang; Botao Yu; Yifei Li 005; Zeyi Liao; Chen Wei; Zitong Lu; Vishal Dey; Mingyi Xue 001; et al. (ICLR, 2025)

IMCSN: An improved neighborhood aggregation interaction strategy for multi-scale contrastive Siamese networks. - Haoyu Zhang; Daoli Wang; Wangshu Zhao; Zitong Lu; Xuchu Jiang (Pattern Recognit., 2025)

Category-Selective Neurons in Deep Networks: Comparing Purely Visual and Visual-Language Models. - Zitong Lu; Yuxin Wang (CoRR, 2025)

AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists. - Yifei Li 005; Hanane Nour Moussa; Ziru Chen; Shijie Chen; Botao Yu; Mingyi Xue 001; Benjamin Burns; Tzu-Yao Chiu; Vishal Dey; Zitong Lu; Chen Wei; Qianheng Zhang; et al. (CoRR, 2025)