Yuan Fang

30 papers · 2014–2026 · 10 conferences · across top CS/AI conferences

Achievements

+10 more ↓

🌍 Conference Polyglot (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (11)

🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (10) 🏃 Academic Marathon (11) 🔬 Deep Specialist (11) 🏆 Grand Slam 🗃️ Keyword Collector (117) 💎 Century Club (28) 🔥 Unstoppable (9) 📈 Trend Setter ⚡ Prolific Year (9)

Conferences

IJCAI (10) AAAI (7) EMNLP (4) ACL (2) NIPS (2) ICLR (1) ICML (1) INTERSPEECH (1) NAACL (1) WACV (1)

Top co-authors

Zemin Liu (6) Chuan Shi (4) Xinming Zhang (3) Hady W. Lauw (3) Duc-Trong Le (3) Xiaoli Li (3) Xingtong Yu (3) Sethupathy Parameswaran (2) Savitha Ramasamy (2) Zhongzhou Liu (2)

Keywords

graph neural network (13) node classification (8) representation learning (5) large language model (4) few-shot learning (4) graph representation learning (3) heterogeneous graph (3) contrastive learning (2) semi-supervised learning (2) transfer learning (2) adapter tuning (2) self-supervised learning (2) graph matching (2) knowledge graph (2) open-set recognition (2) graph classification (1) label propagation (1) matrix factorization (1) computer vision (1) link prediction (1)

Papers

Disentangling Reasoning Logic to Resolve Explicit Knowledge Conflicts ACL 2026 THGB: A Comprehensive Benchmark for Text-attributed Heterogeneous Graphs AAAI 2026 Learning to Identify Seen Unseen and Unknown in the Open World: A Practical Setting for Zero-Shot Learning WACV 2025 Unlocking the Potential of Black-box Pre-trained GNNs for Graph Few-shot Learning AAAI 2025 Node-Time Conditional Prompt Learning in Dynamic Graphs ICLR 2025 Exploring the Potential of Large Language Models for Heterophilic Graphs NAACL 2025 HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning AAAI 2024 Class Name Guided Out-of-Scope Intent Classification EMNLP 2024 SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning ACL 2024 Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs EMNLP 2024 A Survey of Ontology Expansion for Conversational Understanding EMNLP 2024 AMPO: Automatic Multi-Branched Prompt Optimization EMNLP 2024 Heterogeneous Graph Transformer with Poly-Tokenization IJCAI 2024 Contrastive General Graph Matching with Adaptive Augmentation Sampling IJCAI 2024 Cross-Attention-Guided WaveNet for EEG-to-MEL Spectrogram Reconstruction INTERSPEECH 2024 Graph Contrastive Learning with Stable and Scalable Spectral Encoding NIPS 2023 Estimating Propensity for Causality-based Recommendation without Exposure Data NIPS 2023 On Generalized Degree Fairness in Graph Neural Networks AAAI 2023 Learning to Count Isomorphisms with Graph Neural Networks AAAI 2023 End-to-End Open-Set Semi-Supervised Node Classification with Out-of-Distribution Detection IJCAI 2022 Learning to Pre-train Graph Neural Networks AAAI 2021 Node-wise Localization of Graph Neural Networks IJCAI 2021 Graph Deformer Network IJCAI 2021 Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph AAAI 2021 Vertex Weighting-Based Tabu Search for p-Center Problem IJCAI 2020 Correlation-Sensitive Next-Basket Recommendation IJCAI 2019 Modeling Contemporaneous Basket Sequences with Twin Networks for Next-Item Recommendation IJCAI 2018 Basket-Sensitive Personalized Item Recommendation IJCAI 2017 Object Detection Meets Knowledge Graphs IJCAI 2017 Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically ICML 2014