Jian Chen

According to our database, Jian Chen authored at least 15 papers between 2019 and 2025.

Collaborative distances:

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

2025

Multimodal LLMs as Customized Reward Models for Text-to-Image Generation.

Shijie Zhou, Ruiyi Zhang, Huaisheng Zhu, Branislav Kveton, Yufan Zhou, Jiuxiang Gu, Jian Chen, Changyou Chen

CoRR, July, 2025

Towards Visual Text Grounding of Multimodal Large Language Model.

Ming Li, Ruiyi Zhang, Jian Chen, Jiuxiang Gu, Yufan Zhou, Franck Dernoncourt, Wanrong Zhu, Tianyi Zhou, Tong Sun

CoRR, April, 2025

SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding.

Jian Chen, Ruiyi Zhang, Yufan Zhou, Tong Yu, Franck Dernoncourt, Jiuxiang Gu, Ryan A. Rossi, Changyou Chen, Tong Sun

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

GUI Agents: A Survey.

Dang Nguyen, Jian Chen, Yu Wang, Gang Wu, Namyong Park, Zhengmian Hu, Hanjia Lyu, Junda Wu, Ryan Aponte, Yu Xia, Xintong Li, Jing Shi, Hongjie Chen, Viet Dac Lai, Zhouhang Xie, Sungchul Kim, Ruiyi Zhang, Tong Yu, Md. Mehrab Tanjim, Nesreen K. Ahmed, Puneet Mathur, Seunghyun Yoon, Lina Yao, Branislav Kveton, Jihyung Kil, Thien Huu Nguyen, Trung Bui, Tianyi Zhou, Ryan A. Rossi, Franck Dernoncourt

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

GUI Agents: A Survey.

Dang Nguyen, Jian Chen, Yu Wang, Gang Wu, Namyong Park, Zhengmian Hu, Hanjia Lyu, Junda Wu, Ryan Aponte, Yu Xia, Xintong Li, Jing Shi, Hongjie Chen, Viet Dac Lai, Zhouhang Xie, Sungchul Kim, Ruiyi Zhang, Tong Yu, Md. Mehrab Tanjim, Nesreen K. Ahmed, Puneet Mathur, Seunghyun Yoon, Lina Yao, Branislav Kveton, Thien Huu Nguyen, Trung Bui, Tianyi Zhou, Ryan A. Rossi, Franck Dernoncourt

CoRR, 2024

LoRA-Contextualizing Adaptation of Large Multimodal Models for Long Document Understanding.

Jian Chen, Ruiyi Zhang, Yufan Zhou, Tong Yu, Franck Dernoncourt, Jiuxiang Gu, Ryan A. Rossi, Changyou Chen, Tong Sun

CoRR, 2024

A Survey of Small Language Models.

Chien Van Nguyen, Xuan Shen, Ryan Aponte, Yu Xia, Samyadeep Basu, Zhengmian Hu, Jian Chen, Mihir Parmar, Sasidhar Kunapuli, Joe Barrow, Junda Wu, Ashish Singh, Yu Wang, Jiuxiang Gu, Franck Dernoncourt, Nesreen K. Ahmed, Nedim Lipka, Ruiyi Zhang, Xiang Chen, Tong Yu, Sungchul Kim, Hanieh Deilamsalehy, Namyong Park, Mike Rimer, Zhehao Zhang, Huanrui Yang, Ryan A. Rossi, Thien Huu Nguyen

CoRR, 2024

MMR: Evaluating Reading Ability of Large Multimodal Models.

Jian Chen, Ruiyi Zhang, Yufan Zhou, Ryan A. Rossi, Jiuxiang Gu, Changyou Chen

CoRR, 2024

LLaVA-Read: Enhancing Reading Ability of Multimodal Language Models.

Ruiyi Zhang, Yufan Zhou, Jian Chen, Jiuxiang Gu, Changyou Chen, Tong Sun

CoRR, 2024

A probability contrastive learning framework for 3D molecular representation learning.

Jiayu Qin, Jian Chen, Rohan Sharma, Jingchen Sun, Changyou Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints.

Jian Chen, Ruiyi Zhang, Yufan Zhou, Changyou Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

TextLap: Customizing Language Models for Text-to-Layout Planning.

Jian Chen, Ruiyi Zhang, Yufan Zhou, Jennifer Healey, Jiuxiang Gu, Zhiqiang Xu, Changyou Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

TRINS: Towards Multimodal Language Models that Can Read.

Ruiyi Zhang, Yanzhe Zhang, Jian Chen, Yufan Zhou, Jiuxiang Gu, Changyou Chen, Tong Sun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels.

Jian Chen, Ruiyi Zhang, Tong Yu, Rohan Sharma, Zhiqiang Xu, Tong Sun, Changyou Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2019

16S rRNA sequence embeddings: Meaningful numeric feature representations of nucleotide sequences that are convenient for downstream analyses.

Stephen Woloszynek, Zhengqiao Zhao, Jian Chen, Gail L. Rosen

PLoS Comput. Biol., 2019