Jiuhai Chen

I received my Ph.D. from CS at University of Maryland, where I was advised by Tianyi Zhou and Tom Goldstein.

I am interested in Multimodal and Large Language Model, including visual perception, visual generation, reasoning for both MLLMs and LLMs.

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Selected Publications

BLIP3o-NEXT: Next Frontier of Native Image Generation

Jiuhai Chen, Le Xue, Zhiyang Xu, Xichen Pan, Shusheng Yang, Can Qin, An Yan, Honglu Zhou, Zeyuan Chen, Lifu Huang, Tianyi Zhou, Junnan Li, Silvio Savarese, Caiming Xiong, Ran Xu

paper / code

BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset

Jiuhai Chen, Zhiyang Xu, Xichen Pan, Yushi Hu, Can Qin, Tom Goldstein, Lifu Huang, Tianyi Zhou, Saining Xie, Silvio Savarese, Le Xue, Caiming Xiong, Ran Xu

paper / code

Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion

Jiuhai Chen, Jianwei Yang, Haiping Wu, Dianqi Li, Jianfeng Gao, Tianyi Zhou, Bin Xiao

CVPR 2025

paper / code

Quantifying uncertainty in answers from any language model and enhancing their trustworthiness

Jiuhai Chen, Jonas Mueller

ACL 2024

paper / code

Instructzero: Efficient instruction optimization for black-box large language models

Jiuhai Chen*, Lichang Chen*, Tom Goldstein, Heng Huang, Tianyi Zhou

ICML 2024

paper / code

Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features

Jiuhai Chen, Jonas Mueller, Vassilis N Ioannidis, Soji Adeshina, Yangkun Wang, Tom Goldstein, David Wipf

ICLR 2022

paper / code