Jintai Chen
25 papers · 2020–2026 · 10 venues · across top CS/AI venues
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representation learning
(5)
ordinal regression
(3)
tabular data
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large language model
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deep learning
(3)
knowledge distillation
(3)
self-supervised learning
(2)
capsule neural network
(2)
medical diagnosis
(2)
neural network
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multimodal large language model
(2)
graph neural network
(2)
chain-of-thought reasoning
(1)
transfer learning
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medical imaging
(1)
image classification
(1)
direct preference optimization
(1)
monocular depth estimation
(1)
preference learning
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feature learning
(1)
Papers
Learning What Matters: Dynamic Dimension Selection and Aggregation for Interpretable Vision-Language Reward Modeling
ACL 2026
MedTVT-R1: A Multimodal LLM Empowering Medical Reasoning and Diagnosis
CVPR 2026
Graph-guided Cross-composition Feature Disentanglement for Compositional Zero-shot Learning
ACL 2025
Icon2: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation
EMNLP 2025
OrderChain: Towards General Instruct-Tuning for Stimulating the Ordinal Understanding Ability of MLLM
ICCV 2025
ProtCLIP: Function-Informed Protein Multi-Modal Learning
AAAI 2025
Proxy-Bridged Game Transformer for Interactive Extreme Motion Prediction
ICCV 2025
Scalable Autoregressive Monocular Depth Estimation
CVPR 2025
Small Models are LLM Knowledge Triggers for Medical Tabular Prediction
ICLR 2025
LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation
MICCAI 2024
Making Pre-trained Language Models Great on Tabular Prediction
ICLR 2024
Mindβs Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language Models
NAACL 2024
Personalized Heart Disease Detection via ECG Digital Twin Generation
IJCAI 2024
TeleOR: Real-time Telemedicine System for Full-Scene Operating Room
MICCAI 2024
Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications
EMNLP 2024
Cross-Layer Retrospective Retrieving via Layer Attention
ICLR 2023
Ord2Seq: Regarding Ordinal Regression as Label Sequence Prediction
ICCV 2023
T2G-FORMER: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction
AAAI 2023
TabCaps: A Capsule Neural Network for Tabular Data Classification with BoW Routing
ICLR 2023
Text2Tree: Aligning Text Representation to the Label Tree Hierarchy for Imbalanced Medical Classification
EMNLP 2023
DANets: Deep Abstract Networks for Tabular Data Classification and Regression
AAAI 2022
ME-GAN: Learning Panoptic Electrocardio Representations for Multi-view ECG Synthesis Conditioned on Heart Diseases
ICML 2022
A Receptor Skeleton for Capsule Neural Networks
ICML 2021
Electrocardio Panorama: Synthesizing New ECG views with Self-supervision
IJCAI 2021
A Hierarchical Graph Network for 3D Object Detection on Point Clouds
CVPR 2020