Jiayuan Ding - RankMe

30 papers A* 6A 1Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	MixRAG : Mixture-of-Experts Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering. WWW Lihui Liu, Jiayuan Ding, Subhabrata Mukherjee, Carl Yang
2026	J	`jnl`	Perfecting Human-AI Interaction at Clinical Scale. Turning Production Signals into Safer, More Human Conversations. CoRR Subhabrata Mukherjee, Markel Sanz Ausin, Kriti Aggarwal, Debajyoti Datta, Shanil Puri, Woojeong Jin, Tanmay Laud, Neha Manjunath, Jiayuan Ding, Bibek Paudel, Jan Schellenberger, Zepeng Frazier Huo, Walter Shen, Nima Shirazian, Nate Potter, Sathvik Perkari, Darya Filippova, Anton Morozov, Austin Mease, Vivek Muppalla, Ghada Shakir, Alex Miller, Juliana Ghukasyan, Mariska Raglow-Defranco, Maggie Taylor, Herprit Mahal, Jonathan Agnew
2025	J	`jnl`	Graph contrastive learning of subcellular-resolution spatial transcriptomics improves cell type annotation and reveals critical molecular pathways. Briefings Bioinform. Qiaolin Lu, Jiayuan Ding, Lingxiao Li, Yi Chang
2025	J	`jnl`	GraphGhost: Tracing Structures Behind Large Language Models. CoRR Xinnan Dai, Kai Guo, Chung-Hsiang Lo, Shenglai Zeng, Jiayuan Ding, Dongsheng Luo, Subhabrata Mukherjee, Jiliang Tang
2025	J	`jnl`	Retrieval-Augmented Generation with Graphs (GraphRAG). CoRR 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
2025	J	`jnl`	TRAJECT-Bench:A Trajectory-Aware Benchmark for Evaluating Agentic Tool Use. CoRR Pengfei He, Zhenwei Dai, Bing He, Hui Liu, Xianfeng Tang, Hanqing Lu, Juanhui Li, Jiayuan Ding, Subhabrata Mukherjee, Suhang Wang, Yue Xing, Jiliang Tang, Benoît Dumoulin
2024	A*	`conf`	CellPLM: Pre-training of Cell Language Model Beyond Single Cells. ICLR Hongzhi Wen, Wenzhuo Tang, Xinnan Dai, Jiayuan Ding, Wei Jin, Yuying Xie, Jiliang Tang
2024	J	`jnl`	Copyright Protection in Generative AI: A Technical Perspective. CoRR Jie Ren, Han Xu, Pengfei He, Yingqian Cui, Shenglai Zeng, Jiankun Zhang, Hongzhi Wen, Jiayuan Ding, Hui Liu, Yi Chang, Jiliang Tang
2024	J	`jnl`	Deep Learning in Single-cell Analysis. ACM Trans. Intell. Syst. Technol. 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
2024	—	`conf`	MMedAgent: Learning to Use Medical Tools with Multi-modal Agent. EMNLP (Findings) Binxu Li, Tiankai Yan, Yuanting Pan, Jie Luo, Ruiyang Ji, Jiayuan Ding, Zhe Xu, Shilong Liu, Haoyu Dong, Zihao Lin, Yixin Wang
2024	J	`jnl`	Polaris: A Safety-focused LLM Constellation Architecture for Healthcare. CoRR 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
2024	J	`jnl`	SpatialCTD: A Large-Scale Tumor Microenvironment Spatial Transcriptomic Dataset to Evaluate Cell Type Deconvolution for Immuno-Oncology. J. Comput. Biol. 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
2023	—	`conf`	Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? ACL (1) Juanhui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
2023	A*	`conf`	Empowering Graph Representation Learning with Test-Time Graph Transformation. ICLR Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah
2023	J	`jnl`	Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Imputation. CoRR Hongzhi Wen, Wenzhuo Tang, Wei Jin, Jiayuan Ding, Renming Liu, Feng Shi, Yuying Xie, Jiliang Tang
2023	A	`conf`	Single-Cell Multimodal Prediction via Transformers. CIKM Wenzhuo Tang, Hongzhi Wen, Renming Liu, Jiayuan Ding, Wei Jin, Yuying Xie, Hui Liu, Jiliang Tang
2023	J	`jnl`	Single-Cell Multimodal Prediction via Transformers. CoRR Wenzhuo Tang, Hongzhi Wen, Renming Liu, Jiayuan Ding, Wei Jin, Yuying Xie, Hui Liu, Jiliang Tang
2022	J	`jnl`	Are Graph Neural Networks Really Helpful for Knowledge Graph Completion? CoRR Juan-Hui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
2022	J	`jnl`	Deep Learning in Single-Cell Analysis. CoRR Dylan Molho, Jiayuan Ding, Zhaoheng Li, Hongzhi Wen, Wenzhuo Tang, Yixin Wang, Julian Venegas, Wei Jin, Renming Liu, Runze Su, Patrick Danaher, Robert Yang, Yu Leo Lei, Yuying Xie, Jiliang Tang
2022	J	`jnl`	Empowering Graph Representation Learning with Test-Time Graph Transformation. CoRR Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah
2022	A*	`conf`	Graph Neural Networks for Multimodal Single-Cell Data Integration. KDD Hongzhi Wen, Jiayuan Ding, Wei Jin, Yiqi Wang, Yuying Xie, Jiliang Tang
2022	J	`jnl`	Graph Neural Networks for Multimodal Single-Cell Data Integration. CoRR Hongzhi Wen, Jiayuan Ding, Wei Jin, Yuying Xie, Jiliang Tang
2022	A*	`conf`	Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation. ICDE Jiayuan Ding, Tong Xiang, Zijing Ou, Wangyang Zuo, Ruihui Zhao, Chenghua Lin, Yefeng Zheng, Bang Liu
2021	A*	`conf`	Graph Neural Networks with Adaptive Residual. NeurIPS Xiaorui Liu, Jiayuan Ding, Wei Jin, Han Xu, Yao Ma, Zitao Liu, Jiliang Tang
2021	J	`jnl`	Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation. CoRR Jiayuan Ding, Tong Xiang, Zijing Ou, Wangyang Zuo, Ruihui Zhao, Chenghua Lin, Yefeng Zheng, Bang Liu
2020	J	`jnl`	An Experimental Study of The Effects of Position Bias on Emotion CauseExtraction. CoRR Jiayuan Ding, Mayank Kejriwal
2020	J	`jnl`	CERT: Contrastive Self-supervised Learning for Language Understanding. CoRR Hongchao Fang, Sicheng Wang, Meng Zhou, Jiayuan Ding, Pengtao Xie
2019	J	`jnl`	Brain MRI imaging mechanism based on deep visual information perception and dementia degree induction. Multim. Tools Appl. Jiayuan Ding, Siou Li, Zhilong Wang, Zihe Jiang, Yuexin Zhao, Xue Wang, Mengfei He, Weina Zhao, Changhao Yin
2017	J	`jnl`	FlagIt: A System for Minimally Supervised Human Trafficking Indicator Mining. CoRR Mayank Kejriwal, Jiayuan Ding, Runqi Shao, Anoop Kumar, Pedro A. Szekely
2016	—	`conf`	Sentiment Analysis of Chinese Micro-Blog Based on Classification and Rich Features. IEEE WISA Jiayuan Ding, Yongquan Dong, Tongfei Gao, Zichen Zhang, Yali Liu