Sentiment Analysis of Chinese Micro-Blog Based on Classification and Rich Features. - Jiayuan Ding; Yongquan Dong; Tongfei Gao; Zichen Zhang 002; Yali Liu (IEEE WISA, 2016)

FlagIt: A System for Minimally Supervised Human Trafficking Indicator Mining. - Mayank Kejriwal; Jiayuan Ding; Runqi Shao; Anoop Kumar; Pedro A. Szekely (CoRR, 2017)

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)

CERT: Contrastive Self-supervised Learning for Language Understanding. - Hongchao Fang; Sicheng Wang 001; Meng Zhou; Jiayuan Ding; Pengtao Xie (CoRR, 2020)

An Experimental Study of The Effects of Position Bias on Emotion CauseExtraction. - Jiayuan Ding; Mayank Kejriwal (CoRR, 2020)

Graph Neural Networks with Adaptive Residual. - Xiaorui Liu; Jiayuan Ding; Wei Jin 009; Han Xu 002; Yao Ma 001; Zitao Liu 001; Jiliang Tang (NeurIPS, 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 001; Bang Liu (ICDE, 2022)

Graph Neural Networks for Multimodal Single-Cell Data Integration. - Hongzhi Wen; Jiayuan Ding; Wei Jin 009; Yiqi Wang 001; Yuying Xie 001; Jiliang Tang (KDD, 2022)

Graph Neural Networks for Multimodal Single-Cell Data Integration. - Hongzhi Wen; Jiayuan Ding; Wei Jin 009; Yuying Xie 001; Jiliang Tang (CoRR, 2022)

Are Graph Neural Networks Really Helpful for Knowledge Graph Completion? - Juan-Hui Li; Harry Shomer; Jiayuan Ding; Yiqi Wang 001; Yao Ma 001; Neil Shah; Jiliang Tang; Dawei Yin (CoRR, 2022)

Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? - Juanhui Li; Harry Shomer; Jiayuan Ding; Yiqi Wang 001; Yao Ma 001; Neil Shah; Jiliang Tang; Dawei Yin (ACL (1), 2023)

Single-Cell Multimodal Prediction via Transformers. - Wenzhuo Tang; Hongzhi Wen; Renming Liu; Jiayuan Ding; Wei Jin 009; Yuying Xie 001; Hui Liu 031; Jiliang Tang (CIKM, 2023)

Empowering Graph Representation Learning with Test-Time Graph Transformation. - Wei Jin 009; Tong Zhao 003; Jiayuan Ding; Yozen Liu; Jiliang Tang; Neil Shah (ICLR, 2023)

Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Imputation. - Hongzhi Wen; Wenzhuo Tang; Wei Jin 009; Jiayuan Ding; Renming Liu; Feng Shi; Yuying Xie 001; Jiliang Tang (CoRR, 2023)

MMedAgent: Learning to Use Medical Tools with Multi-modal Agent. - Binxu Li; Tiankai Yan; Yuanting Pan; Jie Luo 003; Ruiyang Ji; Jiayuan Ding; Zhe Xu 012; Shilong Liu; Haoyu Dong; Zihao Lin 003; Yixin Wang 003 (EMNLP (Findings), 2024)

CellPLM: Pre-training of Cell Language Model Beyond Single Cells. - Hongzhi Wen; Wenzhuo Tang; Xinnan Dai; Jiayuan Ding; Wei Jin 009; Yuying Xie 001; Jiliang Tang (ICLR, 2024)

Graph contrastive learning of subcellular-resolution spatial transcriptomics improves cell type annotation and reveals critical molecular pathways. - Qiaolin Lu; Jiayuan Ding; Lingxiao Li; Yi Chang 001 (Briefings Bioinform., 2024)

Copyright Protection in Generative AI: A Technical Perspective. - Jie Ren 019; Han Xu 002; Pengfei He; Yingqian Cui; Shenglai Zeng; Jiankun Zhang; Hongzhi Wen; Jiayuan Ding; Hui Liu 031; Yi Chang 001; Jiliang Tang (CoRR, 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; et al. (CoRR, 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 003; Lidan Wu; Wei Jin 009; Hongzhi Wen; Renming Liu; Wenzhuo Tang; Xinnan Dai; Zhaoheng Li; et al. (J. Comput. Biol., 2024)

Deep Learning in Single-cell Analysis. - Dylan Molho; Jiayuan Ding; Wenzhuo Tang; Zhaoheng Li; Hongzhi Wen; Yixin Wang 003; Julian Venegas; Wei Jin 009; Renming Liu; Runze Su; Patrick Danaher; Robert Yang; et al. (ACM Trans. Intell. Syst. Technol., 2024)

Retrieval-Augmented Generation with Graphs (GraphRAG). - Haoyu Han 001; Yu Wang 160; Harry Shomer; Kai Guo 003; Jiayuan Ding; Yongjia Lei; Mahantesh Halappanavar; Ryan A. Rossi; Subhabrata Mukherjee; Xianfeng Tang; Qi He 002; Zhigang Hua; et al. (CoRR, 2025)