Yanchao Tan

14 papers · 2023–2026 · 6 conferences · across top CS/AI conferences

Achievements

+4 more ↓

🌈 Renaissance Researcher (5) 🗺️ Taxonomy Completionist (36) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6)

🐝 Cross-Pollinator (12) 🗃️ Keyword Collector (62) 💎 Century Club (13) ⚡ Prolific Year (5)

Conferences

IJCAI (4) AAAI (3) ICML (3) NIPS (2) CVPR (1) EMNLP (1)

Top co-authors

Weiming Liu (8) Xinting Liao (6) Chaochao Chen (5) Fan Wang (3) Xiaolin Zheng (3) Shiping Wang (3) Mengling Hu (2) Huabin Zhu (2) Zihan Fang (2) Pengyang Zhou (2)

Keywords

federated learning (4) domain adaptation (2) retrieval-augmented generation (2) non-iid datum (2) representation learning (2) cross-domain recommendation (2) graph neural network (2) semi-supervised learning (1) reinforcement learning (1) feature alignment (1) embedding learning (1) prototype learning (1) optimal transport (1) knowledge transfer (1) multi-modal learning (1) knowledge extraction (1) confidence calibration (1) document understanding (1) transfer learning (1) question answering (1)

Papers

TAdaRAG: Task Adaptive Retrieval-Augmented Generation via On-the-Fly Knowledge Graph Construction AAAI 2026 BoxLM: Unifying Structures and Semantics of Medical Concepts for Diagnosis Prediction in Healthcare ICML 2025 OpenViewer: Openness-Aware Multi-View Learning AAAI 2025 MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval EMNLP 2025 Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning ICML 2025 HiTuner: Hierarchical Semantic Fusion Model Fine-Tuning on Text-Attributed Graphs IJCAI 2025 Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning IJCAI 2024 Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation AAAI 2024 Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data CVPR 2024 Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation ICML 2024 TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering NIPS 2024 WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding NIPS 2023 HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning IJCAI 2023 Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation IJCAI 2023