T2G-FORMER: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction. - Jiahuan Yan; Jintai Chen; Yixuan Wu; Danny Z. Chen; Jian Wu 001 (AAAI, 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 002 (EMNLP (Findings), 2023)

Text2Tree: Aligning Text Representation to the Label Tree Hierarchy for Imbalanced Medical Classification. - Jiahuan Yan; Haojun Gao; Kai Zhang 053; Weize Liu; Danny Chen 001; Jian Wu 001; Jintai Chen (EMNLP (Findings), 2023)

GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation with Multi-Perspective Meta Labels. - Yixuan Wu; Jintai Chen; Jiahuan Yan; Yiheng Zhu 002; Danny Z. Chen; Jian Wu 001 (ACM Multimedia, 2023)

Sample-efficient Multi-objective Molecular Optimization with GFlowNets. - Yiheng Zhu 002; Jialu Wu; Chaowen Hu; Jiahuan Yan; Chang-Yu Hsieh; Tingjun Hou; Jian Wu 001 (NeurIPS, 2023)

ExcelFormer: A Neural Network Surpassing GBDTs on Tabular Data. - Jintai Chen; Jiahuan Yan; Danny Ziyi Chen; Jian Wu 001 (CoRR, 2023)

Making Pre-trained Language Models Great on Tabular Prediction. - Jiahuan Yan; Bo Zheng 011; Hongxia Xu; Yiheng Zhu 002; Danny Z. Chen; Jimeng Sun 001; Jian Wu 001; Jintai Chen (ICLR, 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 001 (IJCAI, 2024)

Can a Deep Learning Model be a Sure Bet for Tabular Prediction? - Jintai Chen; Jiahuan Yan; Qiyuan Chen 003; Danny Z. Chen; Jian Wu 001; Jimeng Sun 001 (KDD, 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 001 (KDD, 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 (NeurIPS, 2024)

SERVAL: Synergy Learning between Vertical Models and LLMs towards Oracle-Level Zero-shot Medical Prediction. - Jiahuan Yan; Jintai Chen; Chaowen Hu; Bo Zheng 011; Yaojun Hu; Jimeng Sun 001; Jian Wu 001 (CoRR, 2024)

Generalized Robot Learning Framework. - Jiahuan Yan; Zhouyang Hong; Yu Zhao; Yu Tian; Yunxin Liu; Travis Davies; Luhui Hu (CoRR, 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)

Polygonal Approximation Learning for Convex Object Segmentation in Biomedical Images With Bounding Box Supervision. - Wenhao Zheng; Jintai Chen; Kai Zhang 053; Jiahuan Yan; Jinhong Wang; Yi Cheng; Bang Du; Danny Z. Chen; Honghao Gao; Jian Wu 001; Hongxia Xu (IEEE J. Biomed. Health Informatics, 2024)

Small Models are LLM Knowledge Triggers for Medical Tabular Prediction. - Jiahuan Yan; Jintai Chen; Chaowen Hu; Bo Zheng 011; Yaojun Hu; Jimeng Sun 001; Jian Wu 001 (ICLR, 2025)

RoboGrasp: A Universal Grasping Policy for Robust Robotic Control. - Yiqi Huang; Travis Davies; Jiahuan Yan; Xiang Chen; Yu Tian; Luhui Hu (CoRR, 2025)

CoinRobot: Generalized End-to-end Robotic Learning for Physical Intelligence. - Yu Zhao; Huxian Liu; Xiang Chen; Jiankai Sun; Jiahuan Yan; Luhui Hu (CoRR, 2025)

Spatial RoboGrasp: Generalized Robotic Grasping Control Policy. - Yiqi Huang; Travis Davies; Jiahuan Yan; Jiankai Sun; Xiang Chen; Luhui Hu (CoRR, 2025)