Tinglin Huang

According to our database, Tinglin Huang authored at least 17 papers between 2021 and 2026.

Collaborative distances:

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

2026

Steerable Instruction Following Coding Data Synthesis with Actor-Parametric Schema Co-Evolution.

Tinglin Huang, Bo Chen, Xiao Zhang, Kai Shen, Rex Ying

CoRR, April, 2026

Efficient Long-Horizon Vision-Language-Action Models via Static-Dynamic Disentanglement.

Weikang Qiu, Tinglin Huang, Rex Ying

CoRR, February, 2026

Patient-Similarity Cohort Reasoning in Clinical Text-to-SQL.

Yifei Shen, Yilun Zhao, Justice Ou, Tinglin Huang, Arman Cohan

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

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

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

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots.

Tianyu Liu, Weihao Xuan, Hao Wu, Peter Humphrey, Marcello DiStasio, Heli Qi, Rui Yang, Simeng Han, Tinglin Huang, Fang Wu, Nan Liu, Irene Li, Hua Xu, Hongyu Zhao

CoRR, November, 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

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

STPath: a generative foundation model for integrating spatial transcriptomics and whole-slide images.

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

npj Digit. Medicine, 2025

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

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

Proceedings of the Forty-second International Conference on Machine Learning, 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 37: 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