Yasha Wang

DFAMS: Dynamic-flow guided Federated Alignment based Multi-prototype Search ACL 2026 FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning ACL 2026 ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs ACL 2026 Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance AAAI 2026 3DS: Medical Domain Adaptation of LLMs via Decomposed Difficulty-based Data Selection EMNLP 2025 AIMMerging: Adaptive Iterative Model Merging Using Training Trajectories for Language Model Continual Learning EMNLP 2025 DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations AAAI 2025 DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing ICLR 2025 Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation ICML 2025 GeoEdit: Geometric Knowledge Editing for Large Language Models EMNLP 2025 HyKGE: A Hypothesis Knowledge Graph Enhanced RAG Framework for Accurate and Reliable Medical LLMs Responses ACL 2025 KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models AAAI 2025 Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning ACL 2025 Recurrent Knowledge Identification and Fusion for Language Model Continual Learning ACL 2025 TC–RAG: Turing–Complete RAG’s Case study on Medical LLM Systems ACL 2025 TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees ICLR 2025 Combating Label Sparsity in Short Text Topic Modeling via Nearest Neighbor Augmentation ACL 2024 ITAKE: Interactive Unstructured Text Annotation and Knowledge Extraction System with LLMs and ModelOps ACL 2024 RAGraph: A General Retrieval-Augmented Graph Learning Framework NeurIPS 2024 SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction NeurIPS 2024 Enhancing Neural Topic Model with Multi-Level Supervisions from Seed Words ACL 2023 Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications NeurIPS 2023 KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations AAAI 2023 VecoCare: Visit Sequences-Clinical Notes Joint Learning for Diagnosis Prediction in Healthcare Data IJCAI 2023 Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks ICML 2023 DNA: Domain Generalization with Diversified Neural Averaging ICML 2022 Domain Generalization through the Lens of Angular Invariance IJCAI 2022 GRASP: Generic Framework for Health Status Representation Learning Based on Incorporating Knowledge from Similar Patients AAAI 2021 Learning Groupwise Explanations for Black-Box Models IJCAI 2021 AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration AAAI 2020 ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context AAAI 2020 COTSAE: CO-Training of Structure and Attribute Embeddings for Entity Alignment AAAI 2020 Distance Metric Learning with Joint Representation Diversification ICML 2020 Explainable Recommendation through Attentive Multi-View Learning AAAI 2019 MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction IJCAI 2019