Yasha Wang

35 papers · 2019–2026 · 7 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (17) 🌍 Conference Polyglot (7)

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (6) 🤝 Dynamic Duo (22) 🏆 Grand Slam 🔬 Deep Specialist (16) 🔥 Unstoppable (7) 🚀 Conference Pioneer ⚡ Prolific Year (5) 🗃️ Keyword Collector (150) 💎 Century Club (31)

Conferences

ACL (10) AAAI (9) ICML (4) IJCAI (4) EMNLP (3) NIPS (3) ICLR (2)

Top co-authors

Xu Chu (24) Junfeng Zhao (19) Yongxin Xu (14) Xinke Jiang (11) Hongxin Ding (9) Xin Gao (7) Xinyu Ma (7) Yujie Feng (6) Yue Fang (6) Yang Lin (6)

Keywords

large language model (8) representation learning (7) retrieval-augmented generation (5) continual learning (3) electronic health record (3) domain generalization (3) knowledge graph (3) gromov-wasserstein distance (2) catastrophic forgetting (2) label sparsity (2) domain adaptation (2) graph classification (2) document representation (2) information retrieval (2) attention mechanism (2) reinforcement learning (2) knowledge transfer (2) feature learning (2) model merging (2) clinical prediction (2)

Papers

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