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Zhiyong Feng

32 papers · 2017–2026 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (74) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Gold 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (15) πŸ”¬ Deep Specialist (10) 🌈 Renaissance Researcher (8) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (158)

Papers

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