Chen Chen

According to our database, Chen Chen authored at least 30 papers between 2005 and 2025.

Collaborative distances:

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

2025

CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching.

Chen Chen, Pengsheng Guo, Liangchen Song, Jiasen Lu, Rui Qian, Xinze Wang, Tsu-Jui Fu, Wei Liu, Yinfei Yang, Alex Schwing

CoRR, September, 2025

MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer.

Yanghao Li, Rui Qian, Bowen Pan, Haotian Zhang, Haoshuo Huang, Bowen Zhang, Jialing Tong, Haoxuan You, Xianzhi Du, Zhe Gan, Hyunjik Kim, Chao Jia, Zhenbang Wang, Yinfei Yang, Mingfei Gao, Zi-Yi Dou, Wenze Hu, Chang Gao, Dongxu Li, Philipp Dufter, Zirui Wang, Guoli Yin, Zhengdong Zhang, Chen Chen, Yang Zhao, Ruoming Pang, Zhifeng Chen

CoRR, September, 2025

UniVG: A Generalist Diffusion Model for Unified Image Generation and Editing.

Tsu-Jui Fu, Yusu Qian, Chen Chen, Wenze Hu, Zhe Gan, Yinfei Yang

CoRR, March, 2025

DiT-Air: Revisiting the Efficiency of Diffusion Model Architecture Design in Text to Image Generation.

Chen Chen, Rui Qian, Wenze Hu, Tsu-Jui Fu, Jialing Tong, Xinze Wang, Lezhi Li, Bowen Zhang, Alex Schwing, Wei Liu, Yinfei Yang

CoRR, March, 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

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

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

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

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

On the Transformer Growth for Progressive BERT Training.

Xiaotao Gu, Liyuan Liu, Hongkun Yu, Jing Li, Chen Chen, Jiawei Han

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2010

The Inverse Classification Problem.

Charu C. Aggarwal, Chen Chen, Jiawei Han

J. Comput. Sci. Technol., 2010

Mining Diversity on Networks.

Lu Liu, Feida Zhu, Chen Chen, Xifeng Yan, Jiawei Han, Philip S. Yu, Shiqiang Yang

Proceedings of the Database Systems for Advanced Applications, 2010

InfoNetOLAP: OLAP and Mining of Information Networks.

Chen Chen, Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, Raghu Ramakrishnan

Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010

Mining Large Information Networks by Graph Summarization.

Chen Chen, Cindy Xide Lin, Matt Fredrikson, Mihai Christodorescu, Xifeng Yan, Jiawei Han

Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010

2009

Multi-Dimensional Analysis of Graph Data

Chen Chen

PhD thesis, 2009

iNextCube: Information Network-Enhanced Text Cube.

Yintao Yu, Cindy Xide Lin, Yizhou Sun, Chen Chen, Jiawei Han, Binbin Liao, Tianyi Wu, ChengXiang Zhai, Duo Zhang, Bo Zhao

Proc. VLDB Endow., 2009

Mining Graph Patterns Efficiently via Randomized Summaries.

Chen Chen, Cindy Xide Lin, Matt Fredrikson, Mihai Christodorescu, Xifeng Yan, Jiawei Han

Proc. VLDB Endow., 2009

Graph OLAP: a multi-dimensional framework for graph data analysis.

Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han, Philip S. Yu

Knowl. Inf. Syst., 2009

2008

Graph OLAP: Towards Online Analytical Processing on Graphs.

Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han, Philip S. Yu

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

On effective presentation of graph patterns: a structural representative approach.

Chen Chen, Cindy Xide Lin, Xifeng Yan, Jiawei Han

Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007

Towards Graph Containment Search and Indexing.

Chen Chen, Xifeng Yan, Philip S. Yu, Jiawei Han, Dong-Qing Zhang, Xiaohui Gu

Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

gApprox: Mining Frequent Approximate Patterns from a Massive Network.

Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006

Towards Robust Indexing for Ranked Queries.

Dong Xin, Chen Chen, Jiawei Han

Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

GPLAG: detection of software plagiarism by program dependence graph analysis.

Chao Liu, Chen Chen, Jiawei Han, Philip S. Yu

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

On the Inverse Classification Problem and its Applications.

Charu C. Aggarwal, Chen Chen, Jiawei Han

Proceedings of the 22nd International Conference on Data Engineering, 2006

2005

Accelerating DNA sequencing-by-hybridization with noise.

Chen Chen, Dong Xin, Jiawei Han

Proceedings of the 5th international workshop on Bioinformatics, 2005