Tinglin Huang

According to our database, Tinglin Huang authored at least 11 papers between 2021 and 2025.

Collaborative distances:

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

2025

RephQA: Evaluating Readability of Large Language Models in Public Health Question Answering.

Weikang Qiu, Tinglin Huang, Ryan Rullo, Yucheng Kuang, Ali Maatouk, S. Raquel Ramos, Rex Ying

CoRR, September, 2025

HEIST: A Graph Foundation Model for Spatial Transcriptomics and Proteomics Data.

Hiren Madhu, João F. Rocha, Tinglin Huang, Siddharth Viswanath, Smita Krishnaswamy, Rex Ying

CoRR, June, 2025

Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching.

Tinglin Huang, Tianyu Liu, Mehrtash Babadi, Wengong Jin, Rex Ying

CoRR, June, 2025

Beyond Feature Importance: Feature Interactions in Predicting Post-Stroke Rigidity with Graph Explainable AI.

Jiawei Xu, Yonggeon Lee, Anthony Elkommos Youssef, Eunjin Yun, Tinglin Huang, Tianjian Guo, Hamidreza Saber, Rex Ying, Ying Ding

CoRR, April, 2025

Experience Retrieval-Augmentation with Electronic Health Records Enables Accurate Discharge QA.

Justice Ou, Tinglin Huang, Yilun Zhao, Ziyang Yu, Peiqing Lu, Rex Ying

CoRR, March, 2025

2024

HEART: Learning better representation of EHR data with a heterogeneous relation-aware transformer.

Tinglin Huang, Syed Asad Rizvi, Rohan Krishna Thakur, Vimig Socrates, Meili Gupta, David van Dijk, R. Andrew Taylor, Rex Ying

J. Biomed. Informatics, 2024

Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer.

Tinglin Huang, Zhenqiao Song, Rex Ying, Wengong Jin

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

2023

Learning to Group Auxiliary Datasets for Molecule.

Tinglin Huang, Ziniu Hu, Rex Ying

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

BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs.

Zhen Yang, Tinglin Huang, Ming Ding, Yuxiao Dong, Rex Ying, Yukuo Cen, Yangliao Geng, Jie Tang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2021

Learning Intents behind Interactions with Knowledge Graph for Recommendation.

Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua

Proceedings of the WWW '21: The Web Conference 2021, 2021

MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems.

Tinglin Huang, Yuxiao Dong, Ming Ding, Zhen Yang, Wenzheng Feng, Xinyu Wang, Jie Tang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021