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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Keyword Collector
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Research topics
Machine Learning
(25)
Deep Learning
(17)
Learning Types Β· Machine Learning
(17)
Artificial Intelligence
(15)
Core Methods
(15)
Natural Language Processing
(11)
Architectures
(11)
Applications
(10)
Core AI
(9)
Learning Types Β· Deep Learning
(7)
Knowledge & Reasoning
(6)
Learning Paradigms
(5)
Reasoning
(5)
Application Areas
(4)
Optimization & Theory
(4)
Keywords
representation learning
(8)
graph neural network
(8)
self-supervised learning
(3)
node classification
(3)
mutual information
(3)
graph convolutional network
(2)
markov random field
(2)
graph contrastive learning
(2)
community detection
(2)
graph representation
(2)
message passing
(2)
semantic representation
(2)
causal intervention
(2)
heterogeneous graph
(2)
contrastive learning
(2)
graph representation learning
(2)
relation extraction
(2)
cross-lingual transfer
(2)
reinforcement learning
(2)
machine reading comprehension
(2)
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