Probing Historical Image Contexts: Enhancing Visual Archive Retrieval through Computer Vision. - Lin Du; Brandon Le; Edouardo Honig (ACM Journal on Computing and Cultural Heritage, 2023)

Differentiable VQ-VAE's for Robust White Matter Streamline Encodings. - Andrew Lizarraga; Brandon Taraku; Edouardo Honig; Ying Nian Wu; Shantanu H. Joshi (ISBI, 2024)

Molecule Design by Latent Prompt Transformer. - Deqian Kong; Yuhao Huang; Jianwen Xie; Edouardo Honig; Ming Xu; Shuanghong Xue; Pei Lin; Sanping Zhou; Sheng Zhong; Nanning Zheng 001; Ying Nian Wu (NeurIPS, 2024)

Dual-Space Optimization: Improved Molecule Sequence Design by Latent Prompt Transformer. - Deqian Kong; Yuhao Huang; Jianwen Xie; Edouardo Honig; Ming Xu; Shuanghong Xue; Pei Lin; Sanping Zhou; Sheng Zhong; Nanning Zheng 001; Ying Nian Wu (CoRR, 2024)

Long-range gene expression prediction with token alignment of large language model. - Edouardo Honig; Huixin Zhan; Ying Nian Wu; Zijun Frank Zhang (CoRR, 2024)

Better Prompt Compression Without Multi-Layer Perceptrons. - Edouardo Honig; Andrew Lizarraga; Zijun Frank Zhang; Ying Nian Wu (CoRR, 2025)

Scalable Language Models with Posterior Inference of Latent Thought Vectors. - Deqian Kong; Minglu Zhao; Dehong Xu; Bo Pang 004; Shu Wang 002; Edouardo Honig; Zhangzhang Si; Chuan Li; Jianwen Xie; Sirui Xie; Ying Nian Wu (CoRR, 2025)