Haoxuan You @ Columbia University

Haoxuan You (有昊轩)

I am a fifth-year Computer Science PhD student at the Columbia University, advised by Prof. Shih-Fu Chang and co-advised by Prof. Kai-Wei Chang from UCLA. Previously I received a Bachelor dregree from Xidian University in 2018. Then I spent a gap year working as a Research Assistant in Tsinghua University advised by Prof. Yue Gao, in the middle of which, I visited MCL lab in University of Southern California, advised by Prof. C.-C. Jay Kuo.

In my Ph.D. study, I am fortunate to intern at Microsoft Azure Cognitive Services Research (Mentor: Luowei Zhou), Google Research (Mentor: Jiahui Yu, Mandy Guo and Jason Baldridge), and Apple AI/ML (Mentor: Liangliang Cao, Zhe Gan and Yinfei Yang).

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📷 credit to: my fiancée Xiaohui

Selected Publications (Full List)

Ferret: Refer and Ground Anything Anywhere at Any Granularity
Haoxuan You*, Haotian Zhang*, Zhe Gan, Xianzhi Du, Bowen Zhang, Zirui Wang, Liangliang Cao, Shih-Fu Chang, Yinfei Yang
ICLR 2024, Spotlight (5% Acceptance Rate)
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CoBIT: A Contrastive Bi-directional Image-Text Generation Model
Haoxuan You, Mandy Guo, Zhecan Wang, Kai-Wei Chang, Jason Baldridge, Jiahui Yu
ICLR 2024
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IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models
Haoxuan You*, Rui Sun*, Zhecan Wang*, Long Chen, Gengyu Wang, Hammad Ayyubi, Kai-Wei Chang, Shih-Fu Chang
Empirical Methods in Natural Language Processing - Findings (EMNLP-Findings), 2023
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Find Someone Who: Visual Commonsense Understanding in Human-Centric Grounding
Haoxuan You, Rui Sun*, Zhecan Wang*, Kai-Wei Chang, Shih-Fu Chang
Empirical Methods in Natural Language Processing - Findings (EMNLP-Findings), 2022
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Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training
Haoxuan You*, Luowei Zhou*, Bin Xiao*, Noel Codella*, Yu Cheng, Ruochen Xu, Shih-Fu Chang, Lu Yuan
Proc. of the European Conf. on Computer Vision (ECCV), 2022
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SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning
Zhecan Wang*, Haoxuan You*, Liunian Li, Alireza Zareian, Suji Park, Yiqing Liang, Kai-Wei Chang, Shih-Fu Chang
Proc. of the AAAI Conference on Artificial Intelligence (AAAI), 2022
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Rethinking network design and local geometry in point cloud: A simple residual MLP framework
Xu Ma, Can Qin, Haoxuan You, Haoxi Ran, Yun Fu
The International Conference on Learning Representations (ICLR), 2022
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Unsupervised vision-and-language pre-training without parallel images and captions
Liunian Li, Haoxuan You*, Zhecan Wang*, Alireza Zareian, Shih-Fu Chang, Kai-Wei Chang
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2021
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Learning Visual Commonsense for Robust Scene Graph Generation
Alireza Zareian*, Zhecan Wang*, Haoxuan You*, Shih-Fu Chang
Proc. of the European Conf. on Computer Vision (ECCV), 2020
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PointHop: An Explainable Machine Learning Method for Point Cloud Classification
Min Zhang, Haoxuan You*, Pranav Kadam, Shan Liu, C-C Kuo (*Corresponding Author)
IEEE Transactions on Multimedia, 2020
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PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation
Can Qin*, Haoxuan You*, Lichen Wang, C-C Kuo, Yun Fu
Advances in Neural Information Processing Systems (NeurIPS), 2019
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PVRNet: Point-View Relation Neural Network for 3D Shape Recognition
Haoxuan You, Yifan Feng, Xibin Zhao, Changqing Zou, Rongrong Ji, Yue Gao
Proc. of the AAAI Conference on Artificial Intelligence (AAAI), 2019
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Hypergraph Neural Networks
Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, Yue Gao
Proc. of the AAAI Conference on Artificial Intelligence (AAAI), 2019
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PVNet: A Joint Convolutional Network of Point Cloud and Multi-View for 3D Shape Recognition
Haoxuan You, Yifan Feng, Rongrong Ji, Yue Gao
Proc. of ACM international conference on Multimedia (ACM-MM), 2018
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