Jiang, Xinke

7 publications

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

NeurIPS 2025 STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization Haoyu Zhang, WentaoZhang, Hao Miao, Xinke Jiang, Yuchen Fang, Yifan Zhang

AAAI 2025 Time Series Supplier Allocation via Deep Black-Litterman Model Xinke Jiang, Wentao Zhang, Yuchen Fang, Xiaowei Gao, Hao Chen, Haoyu Zhang, Dingyi Zhuang, Jiayuan Luo

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