Jian Chen
I’m currently an Ph.D. student at University at Buffalo, Department of Computer Science and Engineering.
My research interests include generative models, large language models, and their applications.
Email: jchen378@buffalo.edu.
A PDF version of my CV is available here.
Education
- University at Buffalo, Computer Science, PhD, 2018 Fall - Current
- Drexel University, Electrical Engineering, Master, 2015 Fall - 2017 Summer
- Hunan University, Applied Mathematics, Bachelor, 2011 Fall - 2015 Summer
Experience
- Adobe, Intern Research Scientist/Engineer, 05/2024 - 11/2024
- Mohamed bin Zayed University of Artificial Intelligence, Research Assistant, 10/2023 - 02/2024
Publications
Jiayu Qin, Jian, Chen, Rohan Sharma, Jingchen Sun, Changyou Chen “A probability contrastive learning framework for 3D molecular representation learning”, NeurIPS 2024
Jian, Chen, Ruiyi Zhang, Yufan Zhou, Jennifer Healey, Jiuxiang Gu, Changyou Chen, “Customizing Language Models for Text-to-Layout Planning”, EMNLP 2024
Ruiyi Zhang, Yanzhe Zhang, Jian, Chen, Yufan Zhou, Jiuxiang Gu, Changyou Chen, Tong Sun, “TRINS: Towards Multimodal Language Models that Can Read”, CVPR 2024
Jian, Chen, Ruiyi Zhang, Yufan Zhou, Changyou Chen, “Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints”, ICLR 2024
Jian, Chen, Ruiyi Zhang, Tong Yu, Rohan Sharma, Zhiqiang Xu, Tong Sun, Changyou Chen, “Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels”, NeurIPS 2023
Jian, Chen , “Timed hazard networks: Incorporating temporal difference for oncogenetic analysis”. PLOS ONE, 18(3):e0283004, 2023
Jian, Chen, Le Yang, Lu Li, Steve Goodison, and Yijun Sun. Alignment-free Comparison of Metagenomics Sequences via Approximate String Matching. Bioinformatics Advances, 2022
Stephen Woloszynek, Zhengqiao Zhao, Jian, Chen, and Gail L Rosen. 16S rRNA sequence embeddings: Meaningful numeric feature representations of nucleotide sequences that are convenient for downstream analyses, PLoS computational biology, 15(2):e1006721, 2019
Other Manuscripts:
Jian, Chen, Ruiyi Zhang, Yufan Zhou, Ryan Rossi, Jiuxiang Gu, Changyou Chen, “MMR: Evaluating Reading Ability of Large Multimodal Models”, arXiv 2024
Ruiyi Zhang, Yufan Zhou, Jian, Chen, Jiuxiang Gu, Changyou Chen, Tong Sun, “LLaVA-Read: Enhancing Reading Ability of Multimodal Language Models”, arXiv 2024
Jian, Chen, Le Yang, Lu Li, Yijun Sun, “Predicting alignment distances via continuous sequence matching”, bioRxiv, 2020
Awards:
- Best Graduation Thesis: “Low-rank tensor optimization for video image recovery.” Hunan University, 2015
Professional Service:
- Reviewer of International Conference on Learning Representations (ICLR), 2025
- Reviewer of IEEE Transactions on Emerging Topics in Computational Intelligence, 2024
- Reviewer of International Conference on Machine Learning (ICML), 2024
- Reviewer of Transactions on Machine Learning Research (TMLR), 2024
Volunteer Experience:
- ACM Conference on Bioinformatics, Computational Biology, and Health Informatics. Niagara Falls, NY, 09/2019
- WE16, Society of Women Engineers’s Annual Conference. Philadelphia, PA, 10/2016
- Workshop on tensor optimization and Application. Changsha, Hunan, China, 05/2015
Music
I play guitar and do arrangement for music that I like as a hobby. And, I have a Youtube Channel.