Wang, Yasha

22 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 Magical: Medical Lay Language Generation via Semantic Invariance and Layperson-Tailored Adaptation Weibin Liao, Tianlong Wang, Yinghao Zhu, Yasha Wang, Junyi Gao, Liantao Ma

ICLR 2025 TPO: Aligning Large Language Models with Multi-Branch & Multi-Step Preference Trees Weibin Liao, Xu Chu, Yasha Wang

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

ICML 2023 Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks Xu Chu, Yujie Jin, Xin Wang, Shanghang Zhang, Yasha Wang, Wenwu Zhu, Hong Mei

ICML 2022 DNA: Domain Generalization with Diversified Neural Averaging Xu Chu, Yujie Jin, Wenwu Zhu, Yasha Wang, Xin Wang, Shanghang Zhang, Hong Mei

IJCAI 2022 Domain Generalization Through the Lens of Angular Invariance Yujie Jin, Xu Chu, Yasha Wang, Wenwu Zhu

AAAI 2021 GRASP: Generic Framework for Health Status Representation Learning Based on Incorporating Knowledge from Similar Patients Chaohe Zhang, Xin Gao, Liantao Ma, Yasha Wang, Jiangtao Wang, Wen Tang

IJCAI 2021 Learning Groupwise Explanations for Black-Box Models Jingyue Gao, Xiting Wang, Yasha Wang, Yulan Yan, Xing Xie

AAAI 2020 AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration Liantao Ma, Junyi Gao, Yasha Wang, Chaohe Zhang, Jiangtao Wang, Wenjie Ruan, Wen Tang, Xin Gao, Xinyu Ma

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

AAAI 2020 ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context Liantao Ma, Chaohe Zhang, Yasha Wang, Wenjie Ruan, Jiangtao Wang, Wen Tang, Xinyu Ma, Xin Gao, Junyi Gao

ICML 2020 Distance Metric Learning with Joint Representation Diversification Xu Chu, Yang Lin, Yasha Wang, Xiting Wang, Hailong Yu, Xin Gao, Qi Tong

AAAI 2019 Explainable Recommendation Through Attentive Multi-View Learning Jingyue Gao, Xiting Wang, Yasha Wang, Xing Xie

IJCAI 2019 MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction Xu Chu, Yang Lin, Yasha Wang, Leye Wang, Jiangtao Wang, Jingyue Gao