Bowen Zhang

According to our database, Bowen Zhang authored at least 40 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

AXLearn: Modular Large Model Training on Heterogeneous Infrastructure.

Mark Lee, Tom Gunter, Chang Lan, John Peebles, Hanzhi Zhou, Kelvin Zou, Sneha Bangalore, Chung-Cheng Chiu, Nan Du, Xianzhi Du, Philipp Dufter, Ruixuan Hou, Haoshuo Huang, Dongseong Hwang, Xiang Kong, Jinhao Lei, Tao Lei, Meng Li, Li Li, Jiarui Lu, Zhiyun Lu, Yiping Ma, David Qiu, Vivek Rathod, Senyu Tong, Zhucheng Tu, Jianyu Wang, Yongqiang Wang, Zirui Wang, Floris Weers, Sam Wiseman, Guoli Yin, Bowen Zhang, Xiyou Zhou, Danyang Zhuo, Cheng Leong, Ruoming Pang

CoRR, July, 2025

MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning.

Haotian Zhang, Mingfei Gao, Zhe Gan, Philipp Dufter, Nina Wenzel, Forrest Huang, Dhruti Shah, Xianzhi Du, Bowen Zhang, Yanghao Li, Sam Dodge, Keen You, Zhen Yang, Aleksei Timofeev, Mingze Xu, Hong-You Chen, Jean-Philippe Fauconnier, Zhengfeng Lai, Haoxuan You, Zirui Wang, et al.

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MMEgo: Towards Building Egocentric Multimodal LLMs for Video QA.

Hanrong Ye, Haotian Zhang, Erik A. Daxberger, Lin Chen, Zongyu Lin, Yanghao Li, Bowen Zhang, Haoxuan You, Dan Xu, Zhe Gan, Jiasen Lu, Yinfei Yang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models.

Zhengfeng Lai, Vasileios Saveris, Chen Chen, Hong-You Chen, Haotian Zhang, Bowen Zhang, Wenze Hu, Juan Lao Tebar, Zhe Gan, Peter Grasch, Meng Cao, Yinfei Yang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Improve Vision Language Model Chain-of-thought Reasoning.

Ruohong Zhang, Bowen Zhang, Yanghao Li, Haotian Zhang, Zhiqing Sun, Zhe Gan, Yinfei Yang, Ruoming Pang, Yiming Yang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

STIV: Scalable Text and Image Conditioned Video Generation.

Zongyu Lin, Wei Liu, Chen Chen, Jiasen Lu, Wenze Hu, Tsu-Jui Fu, Jesse Allardice, Zhengfeng Lai, Liangchen Song, Bowen Zhang, Cha Chen, Yiran Fei, Yifan Jiang, Lezhi Li, Yizhou Sun, Kai-Wei Chang, Yinfei Yang

CoRR, 2024

MM-Ego: Towards Building Egocentric Multimodal LLMs.

Hanrong Ye, Haotian Zhang, Erik A. Daxberger, Lin Chen, Zongyu Lin, Yanghao Li, Bowen Zhang, Haoxuan You, Dan Xu, Zhe Gan, Jiasen Lu, Yinfei Yang

CoRR, 2024

Contrastive Localized Language-Image Pre-Training.

Hong-You Chen, Zhengfeng Lai, Haotian Zhang, Xinze Wang, Marcin Eichner, Keen You, Meng Cao, Bowen Zhang, Yinfei Yang, Zhe Gan

CoRR, 2024

MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning.

Haotian Zhang, Mingfei Gao, Zhe Gan, Philipp Dufter, Nina Wenzel, Forrest Huang, Dhruti Shah, Xianzhi Du, Bowen Zhang, Yanghao Li, Sam Dodge, Keen You, Zhen Yang, Aleksei Timofeev, Mingze Xu, Hong-You Chen, Jean-Philippe Fauconnier, Zhengfeng Lai, Haoxuan You, Zirui Wang, Afshin Dehghan, Peter Grasch, Yinfei Yang

CoRR, 2024

Apple Intelligence Foundation Language Models.

Tom Gunter, Zirui Wang, Chong Wang, Ruoming Pang, Andy Narayanan, Aonan Zhang, Bowen Zhang, Chen Chen, Chung-Cheng Chiu, David Qiu, Deepak Gopinath, Dian Ang Yap, Dong Yin, Feng Nan, Floris Weers, Guoli Yin, Haoshuo Huang, Jianyu Wang, Jiarui Lu, John Peebles, Ke Ye, Mark Lee, Nan Du, Qibin Chen, Quentin Keunebroek, Sam Wiseman, Syd Evans, Tao Lei, Vivek Rathod, Xiang Kong, Xianzhi Du, Yanghao Li, Yongqiang Wang, Yuan Gao, Zaid Ahmed, Zhaoyang Xu, Zhiyun Lu, Al Rashid, Albin Madappally Jose, Alec Doane, Alfredo Bencomo, Allison Vanderby, Andrew Hansen, Ankur Jain, Anupama Mann Anupama, Areeba Kamal, Bugu Wu, Carolina Brum, Charlie Maalouf, Chinguun Erdenebileg, Chris Dulhanty, Dominik Moritz, Doug Kang, Eduardo Jimenez, Evan Ladd, Fangping Shi, Felix Bai, Frank Chu, Fred Hohman, Hadas Kotek, Hannah Gillis Coleman, Jane Li, Jeffrey P. Bigham, Jeffery Cao, Jeff Lai, Jessica Cheung, Jiulong Shan, Joe Zhou, John Li, Jun Qin, Karanjeet Singh, Karla Vega, Kelvin Zou, Laura Heckman, Lauren Gardiner, Margit Bowler, Maria Cordell, Meng Cao, Nicole Hay, Nilesh Shahdadpuri, Otto Godwin, Pranay Dighe, Pushyami Rachapudi, Ramsey Tantawi, Roman Frigg, Sam Davarnia, Sanskruti Shah, Saptarshi Guha, Sasha Sirovica, Shen Ma, Shuang Ma, Simon Wang, Sulgi Kim, Suma Jayaram, Vaishaal Shankar, Varsha Paidi, Vivek Kumar, Xin Wang, Xin Zheng, Walker Cheng

CoRR, 2024

Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models.

Haotian Zhang, Haoxuan You, Philipp Dufter, Bowen Zhang, Chen Chen, Hong-You Chen, Tsu-Jui Fu, William Yang Wang, Shih-Fu Chang, Zhe Gan, Yinfei Yang

CoRR, 2024

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training.

Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Sam Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Xianzhi Du, Futang Peng, Floris Weers, Anton Belyi, Haotian Zhang, Karanjeet Singh, Doug Kang, Ankur Jain, Hongyu Hè, Max Schwarzer, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Guoli Yin, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang

CoRR, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MOFI: Learning Image Representations from Noisy Entity Annotated Images.

Wentao Wu, Aleksei Timofeev, Chen Chen, Bowen Zhang, Kun Duan, Shuangning Liu, Yantao Zheng, Jonathon Shlens, Xianzhi Du, Yinfei Yang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training.

Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Sam Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Xianzhi Du, Futang Peng, Anton Belyi, Haotian Zhang, Karanjeet Singh, Doug Kang, Hongyu Hè, Max Schwarzer, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang

Proceedings of the Computer Vision - ECCV 2024, 2024

VeCLIP: Improving CLIP Training via Visual-Enriched Captions.

Zhengfeng Lai, Haotian Zhang, Bowen Zhang, Wentao Wu, Haoping Bai, Aleksei Timofeev, Xianzhi Du, Zhe Gan, Jiulong Shan, Chen-Nee Chuah, Yinfei Yang, Meng Cao

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts.

Erik A. Daxberger, Floris Weers, Bowen Zhang, Tom Gunter, Ruoming Pang, Marcin Eichner, Michael Emmersberger, Yinfei Yang, Alexander Toshev, Xianzhi Du

CoRR, 2023

MOFI: Learning Image Representations from Noisy Entity Annotated Images.

Wentao Wu, Aleksei Timofeev, Chen Chen, Bowen Zhang, Kun Duan, Shuangning Liu, Yantao Zheng, Jonathon Shlens, Xianzhi Du, Zhe Gan, Yinfei Yang

CoRR, 2023

Less is More: Removing Text-regions Improves CLIP Training Efficiency and Robustness.

Liangliang Cao, Bowen Zhang, Chen Chen, Yinfei Yang, Xianzhi Du, Wencong Zhang, Zhiyun Lu, Yantao Zheng

CoRR, 2023

STAIR: Learning Sparse Text and Image Representation in Grounded Tokens.

Chen Chen, Bowen Zhang, Liangliang Cao, Jiguang Shen, Tom Gunter, Albin Madappally Jose, Alexander Toshev, Jonathon Shlens, Ruoming Pang, Yinfei Yang

CoRR, 2023

STAIR: Learning Sparse Text and Image Representation in Grounded Tokens.

Chen Chen, Bowen Zhang, Liangliang Cao, Jiguang Shen, Tom Gunter, Albin Madappally Jose, Alexander Toshev, Yantao Zheng, Jonathon Shlens, Ruoming Pang, Yinfei Yang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021

Co-training Transformer with Videos and Images Improves Action Recognition.

Bowen Zhang, Jiahui Yu, Christopher Fifty, Wei Han, Andrew M. Dai, Ruoming Pang, Fei Sha

CoRR, 2021

CREATe: Clinical Report Extraction and Annotation Technology.

Yichao Zhou, Wei-Ting Chen, Bowen Zhang, David Lee, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Systematic Generalization on gSCAN: What is Nearly Solved and What is Next?

Linlu Qiu, Hexiang Hu, Bowen Zhang, Peter Shaw, Fei Sha

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Visually Grounded Concept Composition.

Bowen Zhang, Hexiang Hu, Linlu Qiu, Peter Shaw, Fei Sha

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

A Hierarchical Multi-Modal Encoder for Moment Localization in Video Corpus.

Bowen Zhang, Hexiang Hu, Joonseok Lee, Ming Zhao, Sheide Chammas, Vihan Jain, Eugene Ie, Fei Sha

CoRR, 2020

Visual Storytelling via Predicting Anchor Word Embeddings in the Stories.

Bowen Zhang, Hexiang Hu, Fei Sha

CoRR, 2020

Learning to Represent Image and Text with Denotation Graph.

Bowen Zhang, Hexiang Hu, Vihan Jain, Eugene Ie, Fei Sha

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Topic Augmented Generator for Abstractive Summarization.

Melissa Ailem, Bowen Zhang, Fei Sha

CoRR, 2019

2018

Real-Time Action Recognition With Deeply Transferred Motion Vector CNNs.

Bowen Zhang, Limin Wang, Zhe Wang, Yu Qiao, Hanli Wang

IEEE Trans. Image Process., 2018

A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images.

Melissa Ailem, Bowen Zhang, Aurélien Bellet, Pascal Denis, Fei Sha

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Cross-Modal and Hierarchical Modeling of Video and Text.

Bowen Zhang, Hexiang Hu, Fei Sha

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Weakly Supervised PatchNets: Describing and Aggregating Local Patches for Scene Recognition.

Zhe Wang, Limin Wang, Yali Wang, Bowen Zhang, Yu Qiao

IEEE Trans. Image Process., 2017

Learning correlations for human action recognition in videos.

Yun Yi, Hanli Wang, Bowen Zhang

Multim. Tools Appl., 2017

2016

CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016.

Yuanjun Xiong, Limin Wang, Zhe Wang, Bowen Zhang, Hang Song, Wei Li, Dahua Lin, Yu Qiao, Luc Van Gool, Xiaoou Tang

CoRR, 2016

Real-Time Action Recognition with Enhanced Motion Vector CNNs.

Bowen Zhang, Limin Wang, Zhe Wang, Yu Qiao, Hanli Wang

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Encoding scale into fisher vector for human action recognition.

Bowen Zhang, Hanli Wang

Proceedings of the 2015 Visual Communications and Image Processing, 2015

MIC-TJU in MediaEval 2015 Affective Impact of Movies Task.

Yun Yi, Hanli Wang, Bowen Zhang, Jian Yu

Proceedings of the Working Notes Proceedings of the MediaEval 2015 Workshop, 2015

2014

MIC_TJ at TRECVID 2014.

Lei Wang, Yun Yi, Bowen Zhang, Fengkuangtian Zhu, Bo Xiao, Tianyao Sun, Hanli Wang

Proceedings of the 2014 TREC Video Retrieval Evaluation, 2014

MIC-TJU at MediaEval Violent Scenes Detection (VSD) 2014.

Bowen Zhang, Yun Yi, Hanli Wang, Jian Yu

Proceedings of the Working Notes Proceedings of the MediaEval 2014 Workshop, 2014