Jiahuan Yan

According to our database, Jiahuan Yan authored at least 16 papers between 2023 and 2025.

Collaborative distances:

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

2025

RoboGrasp: A Universal Grasping Policy for Robust Robotic Control.

Yiqi Huang, Travis Davies, Jiahuan Yan, Xiang Chen, Yu Tian, Luhui Hu

CoRR, February, 2025

2024

Polygonal Approximation Learning for Convex Object Segmentation in Biomedical Images With Bounding Box Supervision.

Wenhao Zheng, Jintai Chen, Kai Zhang, Jiahuan Yan, Jinhong Wang, Yi Cheng, Bang Du, Danny Z. Chen, Honghao Gao, Jian Wu, Hongxia Xu

IEEE J. Biomed. Health Informatics, August, 2024

Spatially Visual Perception for End-to-End Robotic Learning.

Travis Davies, Jiahuan Yan, Xiang Chen, Yu Tian, Yueting Zhuang, Yiqi Huang, Luhui Hu

CoRR, 2024

Generalized Robot Learning Framework.

Jiahuan Yan, Zhouyang Hong, Yu Zhao, Yu Tian, Yunxin Liu, Travis Davies, Luhui Hu

CoRR, 2024

SERVAL: Synergy Learning between Vertical Models and LLMs towards Oracle-Level Zero-shot Medical Prediction.

Jiahuan Yan, Jintai Chen, Chaowen Hu, Bo Zheng, Yaojun Hu, Jimeng Sun, Jian Wu

CoRR, 2024

Bridge-IF: Learning Inverse Protein Folding with Markov Bridges.

Yiheng Zhu, Jialu Wu, Qiuyi Li, Jiahuan Yan, Mingze Yin, Wei Wu, Mingyang Li, Jieping Ye, Zheng Wang, Jian Wu

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

Team up GBDTs and DNNs: Advancing Efficient and Effective Tabular Prediction with Tree-hybrid MLPs.

Jiahuan Yan, Jintai Chen, Qianxing Wang, Danny Z. Chen, Jian Wu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Can a Deep Learning Model be a <i>Sure Bet</i> for Tabular Prediction?

Jintai Chen, Jiahuan Yan, Qiyuan Chen, Danny Z. Chen, Jian Wu, Jimeng Sun

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Personalized Heart Disease Detection via ECG Digital Twin Generation.

Yaojun Hu, Jintai Chen, Lianting Hu, Dantong Li, Jiahuan Yan, Haochao Ying, Huiying Liang, Jian Wu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Making Pre-trained Language Models Great on Tabular Prediction.

Jiahuan Yan, Bo Zheng, Hongxia Xu, Yiheng Zhu, Danny Z. Chen, Jimeng Sun, Jian Wu, Jintai Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

ExcelFormer: A Neural Network Surpassing GBDTs on Tabular Data.

Jintai Chen, Jiahuan Yan, Danny Ziyi Chen, Jian Wu

CoRR, 2023

Sample-efficient Multi-objective Molecular Optimization with GFlowNets.

Yiheng Zhu, Jialu Wu, Chaowen Hu, Jiahuan Yan, Chang-Yu Hsieh, Tingjun Hou, Jian Wu

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

GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation with Multi-Perspective Meta Labels.

Yixuan Wu, Jintai Chen, Jiahuan Yan, Yiheng Zhu, Danny Z. Chen, Jian Wu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Text2Tree: Aligning Text Representation to the Label Tree Hierarchy for Imbalanced Medical Classification.

Jiahuan Yan, Haojun Gao, Zhang Kai, Weize Liu, Danny Chen, Jian Wu, Jintai Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Battle of the Large Language Models: Dolly vs LLaMA vs Vicuna vs Guanaco vs Bard vs ChatGPT - A Text-to-SQL Parsing Comparison.

Shuo Sun, Yuchen Zhang, Jiahuan Yan, Yuze Gao, Donovan Ong, Bin Chen, Jian Su

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

T2G-FORMER: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction.

Jiahuan Yan, Jintai Chen, Yixuan Wu, Danny Z. Chen, Jian Wu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023