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Zhiyong Feng

31 papers · 2017–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (17) 🌍 Conference Polyglot (8)
πŸ—ΊοΈ Taxonomy Completionist (17) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸ”¬ Deep Specialist (10) 🀝 Dynamic Duo (13) πŸ—ƒοΈ Keyword Collector (149) ⚑ Prolific Year (5) πŸ“ˆ Trend Setter πŸ’Ž Century Club (29) πŸ”₯ Unstoppable (7)

Conferences

AAAI (10) IJCAI (8) ACL (5) EMNLP (3) COLING (2) CVPR (1) ICML (1) NIPS (1)

Papers

MUG: Meta-path-aware Universal Heterogeneous Graph Pre-Training AAAI 2026 Flow-Based Page Unique Semantic Mapping Architecture for Document Visual Question Answering ACL 2026 Faithful Inference Chains Extraction for Fact Verification over Multi-view Heterogeneous Graph with Causal Intervention COLING 2025 Contrastive Representation for Interactive Recommendation AAAI 2025 Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily AAAI 2025 A Reinforcement Learning Framework for Cross-Lingual Stance Detection Using Chain-of-Thought Alignment ACL 2025 NAAST-GNN: Neighborhood Adaptive Aggregation and Spectral Tuning for Graph Anomaly Detection IJCAI 2025 A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning AAAI 2024 LG-GNN: Local-Global Adaptive Graph Neural Network for Modeling Both Homophily and Heterophily IJCAI 2024 Enhancing Semantic Consistency of Large Language Models through Model Editing: An Interpretability-Oriented Approach ACL 2024 An Event-based Abductive Learning for Hard Time-sensitive Question Answering COLING 2024 FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features NIPS 2024 Mitigating Language Bias of LMMs in Social Intelligence Understanding with Virtual Counterfactual Calibration EMNLP 2024 Learning by Erasing: Conditional Entropy Based Transferable Out-of-Distribution Detection AAAI 2024 Improving Distinguishability of Class for Graph Neural Networks AAAI 2024 Reducing Sentiment Bias in Pre-trained Sentiment Classification via Adaptive Gumbel Attack AAAI 2023 Causal Intervention for Mitigating Name Bias in Machine Reading Comprehension ACL 2023 Contrastive Learning Meets Homophily: Two Birds with One Stone ICML 2023 Document-level Relationship Extraction by Bidirectional Constraints of Beta Rules EMNLP 2023 Block Modeling-Guided Graph Convolutional Neural Networks AAAI 2022 Learning Disentangled Semantic Representations for Zero-Shot Cross-Lingual Transfer in Multilingual Machine Reading Comprehension ACL 2022 Function-words Adaptively Enhanced Attention Networks for Few-Shot Inverse Relation Classification IJCAI 2022 Re-embedding Difficult Samples via Mutual Information Constrained Semantically Oversampling for Imbalanced Text Classification EMNLP 2021 On the Expressivity of ASK Queries in SPARQL AAAI 2020 Community-Centric Graph Convolutional Network for Unsupervised Community Detection IJCAI 2020 Towards Universal Languages for Tractable Ontology Mediated Query Answering AAAI 2020 InteractionNN: A Neural Network for Learning Hidden Features in Sparse Prediction IJCAI 2019 An End-to-End Community Detection Model: Integrating LDA into Markov Random Field via Factor Graph IJCAI 2019 How Well Do Machines Perform on IQ tests: a Comparison Study on a Large-Scale Dataset IJCAI 2019 Parametric T-Spline Face Morphable Model for Detailed Fitting in Shape Subspace CVPR 2017 Defending Against Man-In-The-Middle Attack in Repeated Games IJCAI 2017