Bowen Zhang

About Me [Curriculum Vitae]

I am a senior machine learning researcher at Apple AI/ML - Foundation Model.

I obtained my PhD degree from University of Southern California with Prof. Fei Sha.

Previously, I was a research intern & student researcher at Google Brain, Google Research Language, AWS Rekognition, and Tencent AI lab at Seattle. I was a visiting student at SIAT MMLab.

Education

• PhD in Computer Science: University of Southern California
• MEng in Computer Engineering: Tongji University
• BEng in Computer Science: Tongji University

Publications [Google Scholar][DBLP]

• 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, 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
  ECCV 2024.
  [Paper]

• 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
  ECCV 2024.
  [Paper] [Code]

• 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.
  [Paper] [Code]

• Compressing LLMs: The Truth is Rarely Pure and Never Simple
  Ajay Jaiswal, Zhe Gan, Xianzhi Du, Bowen Zhang , Zhangyang Wang, Yinfei Yang
  ICLR 2024.
  [Paper]

• Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts
  Erik Daxberger, Floris Weers, Bowen Zhang , Tom Gunter, Ruoming Pang, Marcin Eichner, Michael Emmersberger, Yinfei Yang, Alexander Toshev, Xianzhi Du
  arxiv 2023.
  [Paper]

• MOFI: Learning Image Representations from Noisy Entity Annotated Images
  Wentao Wu, Aleksei Timofeev, Chen Chen, Bowen Zhang, Kun Duan, Shuangning Liu, Yantao Zheng, Jon Shlens, Xianzhi Du, Zhe Gan, Yinfei Yang
  ICLR 2024.
  [Paper]

• 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
  arxiv 2023.
  [Paper] [Dataset]

• 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
  EMNLP 2023.
  [Paper]

• 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
  Arxiv 2021.
  [Paper] [Post]

• Visually Grounded Concept Composition
  Bowen Zhang, Hexiang Hu, Linlu Qiu, Pete Shaw, Fei Sha
  Findings of EMNLP 2021.
  [Paper]

• Systematic Generalization on gSCAN: What is Nearly Solved and What is Next?
  Linlu Qiu, Hexiang Hu, Bowen Zhang, Pete Shaw, Fei Sha
  EMNLP 2021. Oral Presentation
  [Paper]

• 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
  Arxiv 2020.
  [Paper]

• Online Action Detection in Streaming Videos with Time Buffers
  Bowen Zhang, Hao Chen, Meng Wang, Yuanjun Xiong
  Arxiv 2020.
  [Paper]

• Learning to Represent Image and Text with Denotation Graph
  Bowen Zhang*, Hexiang Hu*, Vihan Jain, Eugene Ie, Fei Sha
  EMNLP 2020. Oral Presentation
  [Paper]

• Visual Storytelling via Predicting Anchor Word Embeddings in the Stories
  Bowen Zhang, Hexiang Hu, Fei Sha
  ICCV 2019 Workshop on Closing the Loop Between Vision and Language.
  [Paper]

• Topic Augmented Generator for Abstractive Summarization
  Melissa Ailem, Bowen Zhang, Fei Sha
  BayLearn 2019.
  [Paper]

• A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images
  Melissa Ailem, Bowen Zhang, Aurélien Bellet, Pascal Denis, Fei Sha
  EMNLP 2018.
  [Paper]

• Cross-Modal and Hierarchical Modeling of Video and Text
  Bowen Zhang*, Hexiang Hu*, Fei Sha
  ECCV 2018.
  [Paper] [Project] [Code]

• Real-Time Action Recognition with Deeply-Transferred Motion Vector CNNs
  Bowen Zhang, Limin Wang, Zhe Wang, Yu Qiao, Hanli Wang
  IEEE Transaction on Image Processing, 2018.
  [Paper] [Project]

• Real-time Action Recognition with Enhanced Motion Vector CNNs
  Bowen Zhang, Limin Wang, Zhe Wang, Yu Qiao, Hanli Wang
  CVPR 2016.
  [Paper] [Project]

Competitions

• The ActivityNet Challenge 2017 at CVPR’17: Untrimmed, Rank: 2/32, Trimmed, Rank: 2/22, Localization, Rank: 2/13
• The ActivityNet Challenge 2016 at CVPR’16: Untrimmed Video Classification, Winner.
• The LSUN Challenge 2016 at CVPR’16: Scene Classification, Winner.

Selected Honors and Awards

• Shanghai Outstanding Graduates, 2017
• National Graduate Scholarship, 2016
• Best Undergraduate Thesis of Tongji University, 2014
• SAIC Volkswagen Automotive Scholarship, 2013

Services

• Conference Reviewers:
  • Machine Learning: NeurIPS, ICML, ICLR
  • Computer Vision: CVPR, ICCV, ECCV, BMVC, ACCV, WACV
  • Natural Language Processing: EMNLP, NAACL, ACL
  • Artificial Intelligence: IJCAI, AAAI
• Journal Reviewers: T-PAMI, IJCV, T-IP.

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