Jiayuan Ding

According to our database, Jiayuan Ding authored at least 21 papers between 2016 and 2025.

Collaborative distances:

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

2025

Retrieval-Augmented Generation with Graphs (GraphRAG).

Haoyu Han, Yu Wang, Harry Shomer, Kai Guo, Jiayuan Ding, Yongjia Lei, Mahantesh Halappanavar, Ryan A. Rossi, Subhabrata Mukherjee, Xianfeng Tang, Qi He, Zhigang Hua, Bo Long, Tong Zhao, Neil Shah, Amin Javari, Yinglong Xia, Jiliang Tang

CoRR, January, 2025

2024

Deep Learning in Single-cell Analysis.

Dylan Molho, Jiayuan Ding, Wenzhuo Tang, Zhaoheng Li, Hongzhi Wen, Yixin Wang, Julian Venegas, Wei Jin, Renming Liu, Runze Su, Patrick Danaher, Robert Yang, Yu Leo Lei, Yuying Xie, Jiliang Tang

ACM Trans. Intell. Syst. Technol., June, 2024

SpatialCTD: A Large-Scale Tumor Microenvironment Spatial Transcriptomic Dataset to Evaluate Cell Type Deconvolution for Immuno-Oncology.

Jiayuan Ding, Lingxiao Li, Qiaolin Lu, Julian Venegas, Yixin Wang, Lidan Wu, Wei Jin, Hongzhi Wen, Renming Liu, Wenzhuo Tang, Xinnan Dai, Zhaoheng Li, Wangyang Zuo, Yi Chang, Yu Leo Lei, Lulu Shang, Patrick Danaher, Yuying Xie, Jiliang Tang

J. Comput. Biol., 2024

Polaris: A Safety-focused LLM Constellation Architecture for Healthcare.

Subhabrata Mukherjee, Paul Gamble, Markel Sanz Ausin, Neel Kant, Kriti Aggarwal, Neha Manjunath, Debajyoti Datta, Zhengliang Liu, Jiayuan Ding, Sophia Busacca, Cezanne Bianco, Swapnil Sharma, Rae Lasko, Michelle Voisard, Sanchay Harneja, Darya Filippova, Gerry Meixiong, Kevin Cha, Amir Youssefi, Meyhaa Buvanesh, Howard Weingram, Sebastian Bierman-Lytle, Harpreet Singh Mangat, Kim Parikh, Saad Godil, Alex Miller

CoRR, 2024

Copyright Protection in Generative AI: A Technical Perspective.

Jie Ren, Han Xu, Pengfei He, Yingqian Cui, Shenglai Zeng, Jiankun Zhang, Hongzhi Wen, Jiayuan Ding, Hui Liu, Yi Chang, Jiliang Tang

CoRR, 2024

CellPLM: Pre-training of Cell Language Model Beyond Single Cells.

Hongzhi Wen, Wenzhuo Tang, Xinnan Dai, Jiayuan Ding, Wei Jin, Yuying Xie, Jiliang Tang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MMedAgent: Learning to Use Medical Tools with Multi-modal Agent.

Binxu Li, Tiankai Yan, Yuanting Pan, Jie Luo, Ruiyang Ji, Jiayuan Ding, Zhe Xu, Shilong Liu, Haoyu Dong, Zihao Lin, Yixin Wang

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

2023

Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Imputation.

Hongzhi Wen, Wenzhuo Tang, Wei Jin, Jiayuan Ding, Renming Liu, Feng Shi, Yuying Xie, Jiliang Tang

CoRR, 2023

Empowering Graph Representation Learning with Test-Time Graph Transformation.

Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Single-Cell Multimodal Prediction via Transformers.

Wenzhuo Tang, Hongzhi Wen, Renming Liu, Jiayuan Ding, Wei Jin, Yuying Xie, Hui Liu, Jiliang Tang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?

Juanhui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Are Graph Neural Networks Really Helpful for Knowledge Graph Completion?

Juan-Hui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin

CoRR, 2022

Graph Neural Networks for Multimodal Single-Cell Data Integration.

Hongzhi Wen, Jiayuan Ding, Wei Jin, Yuying Xie, Jiliang Tang

CoRR, 2022

Graph Neural Networks for Multimodal Single-Cell Data Integration.

Hongzhi Wen, Jiayuan Ding, Wei Jin, Yiqi Wang, Yuying Xie, Jiliang Tang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation.

Jiayuan Ding, Tong Xiang, Zijing Ou, Wangyang Zuo, Ruihui Zhao, Chenhua Lin, Yefeng Zheng, Bang Liu

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation.

Jiayuan Ding, Tong Xiang, Zijing Ou, Wangyang Zuo, Ruihui Zhao, Chenghua Lin, Yefeng Zheng, Bang Liu

CoRR, 2021

Graph Neural Networks with Adaptive Residual.

Xiaorui Liu, Jiayuan Ding, Wei Jin, Han Xu, Yao Ma, Zitao Liu, Jiliang Tang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

An Experimental Study of The Effects of Position Bias on Emotion CauseExtraction.

Jiayuan Ding, Mayank Kejriwal

CoRR, 2020

2019

Brain MRI imaging mechanism based on deep visual information perception and dementia degree induction.

Jiayuan Ding, Siou Li, Zhilong Wang, Zihe Jiang, Yuexin Zhao, Xue Wang, Mengfei He, Weina Zhao, Changhao Yin

Multim. Tools Appl., 2019

2017

FlagIt: A System for Minimally Supervised Human Trafficking Indicator Mining.

Mayank Kejriwal, Jiayuan Ding, Runqi Shao, Anoop Kumar, Pedro A. Szekely

CoRR, 2017

2016

Sentiment Analysis of Chinese Micro-Blog Based on Classification and Rich Features.

Jiayuan Ding, Yongquan Dong, Tongfei Gao, Zichen Zhang, Yali Liu

Proceedings of the 13th Web Information Systems and Applications Conference, 2016