Zhao, Junfeng

13 publications

ICLR 2025 DRESSing up LLM: Efficient Stylized Question-Answering via Style Subspace Editing Xinyu Ma, Yifeng Xu, Yang Lin, Tianlong Wang, Xu Chu, Xin Gao, Junfeng Zhao, Yasha Wang

AAAI 2025 DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations Yongxin Xu, Xinke Jiang, Xu Chu, Rihong Qiu, Yujie Feng, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie

ICML 2025 Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-Based Dataset Distillation Rihong Qiu, Xinke Jiang, Yuchen Fang, Hongbin Lai, Hao Miao, Xu Chu, Junfeng Zhao, Yasha Wang

AAAI 2025 KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models Ruizhe Zhang, Yongxin Xu, Yuzhen Xiao, Runchuan Zhu, Xinke Jiang, Xu Chu, Junfeng Zhao, Yasha Wang

NeurIPS 2025 MODEL SHAPLEY: Find Your Ideal Parameter Player via One Gradient Backpropagation Xu Chu, Xinke Jiang, Rihong Qiu, Jiaran Gao, Junfeng Zhao

ICML 2024 Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation Xinyu Ma, Xu Chu, Zhibang Yang, Yang Lin, Xin Gao, Junfeng Zhao

NeurIPS 2024 RAGraph: A General Retrieval-Augmented Graph Learning Framework Xinke Jiang, Rihong Qiu, Yongxin Xu, Wentao Zhang, Yichen Zhu, Ruizhe Zhang, Yuchen Fang, Xu Chu, Junfeng Zhao, Yasha Wang

NeurIPS 2024 SMART: Towards Pre-Trained Missing-Aware Model for Patient Health Status Prediction Zhihao Yu, Xu Chu, Yujie Jin, Yasha Wang, Junfeng Zhao

NeurIPS 2023 Fused Gromov-Wasserstein Graph Mixup for Graph-Level Classifications Xinyu Ma, Xu Chu, Yasha Wang, Yang Lin, Junfeng Zhao, Liantao Ma, Wenwu Zhu

AAAI 2023 KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations Kai Yang, Yongxin Xu, Peinie Zou, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie

IJCAI 2023 VecoCare: Visit Sequences-Clinical Notes Joint Learning for Diagnosis Prediction in Healthcare Data Yongxin Xu, Kai Yang, Chaohe Zhang, Peinie Zou, Zhiyuan Wang, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie

AAAI 2020 COTSAE: CO-Training of Structure and Attribute Embeddings for Entity Alignment Kai Yang, Shaoqin Liu, Junfeng Zhao, Yasha Wang, Bing Xie

AAAI 2017 TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records Kai Yang, Xiang Li, Haifeng Liu, Jing Mei, Guo Tong Xie, Junfeng Zhao, Bing Xie, Fei Wang