Yong Dou
23 papers · 2016–2026 · 10 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.
Achievements
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πΊοΈ Taxonomy Completionist (56) π Academic Marathon Β· Half π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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Renaissance Researcher
(8)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(118)
Venues
Top co-authors
Research topics
Machine Learning
(16)
Artificial Intelligence
(9)
Deep Learning
(9)
Learning Types Β· Machine Learning
(8)
Core AI
(7)
Core Methods
(7)
Learning Types Β· Deep Learning
(6)
Natural Language Processing
(5)
Reinforcement Learning
(4)
Applications
(4)
Methods
(4)
Application Areas
(3)
Architectures
(3)
Learning Paradigms
(3)
Optimization & Theory
(3)
Keywords
class-incremental learning
(4)
catastrophic forgetting
(3)
knowledge graph reasoning
(2)
policy learning
(2)
multiple kernel clustering
(2)
few-shot learning
(2)
transformer architecture
(2)
contrastive learning
(1)
image classification
(1)
neural network compression
(1)
metric learning
(1)
self-attention mechanism
(1)
non-convex optimization
(1)
spectral clustering
(1)
knowledge distillation
(1)
multi-agent reinforcement learning
(1)
fact verification
(1)
knowledge transfer
(1)
continual learning
(1)
multi-view fusion
(1)
Papers
Geometry-driven OOD Detectors Are Class-Incremental Learners
CVPR 2026
Transolver Is a Linear Transformer: Revisiting Physics-Attention Through the Lens of Linear Attention
AAAI 2026
Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies
AAAI 2025
Improving the Continuity of Goal-Achievement Ability via Policy Self-Regularization for Goal-Conditioned Reinforcement Learning
ICML 2025
Knowledge Bridges the Intent Gap: Contextual Fusion in Medical Fine-Grained Segmentation
MICCAI 2025
Knowledge Memorization and Rumination for Pre-trained Model-based Class-Incremental Learning
CVPR 2025
Maintaining Fairness in Logit-based Knowledge Distillation for Class-Incremental Learning
AAAI 2025
Multi-view Fusion and Parameter Perturbation for Few-Shot Class-Incremental Audio Classification
Interspeech 2025
Partial Order-centered Hyperbolic Representation Learning for Few-shot Relation Extraction
COLING 2025
A New Pipeline for Knowledge Graph Reasoning Enhanced by Large Language Models Without Fine-Tuning
EMNLP 2024
Temporal Extrapolation and Knowledge Transfer for Lifelong Temporal Knowledge Graph Reasoning
EMNLP 2023
Adaptive Threshold Selective Self-Attention for Chinese NER
COLING 2022
Heterogeneous Skill Learning for Multi-agent Tasks
NeurIPS 2022
IMCI: Integrate Multi-view Contextual Information for Fact Extraction and Verification
COLING 2022
RSGT: Relational Structure Guided Temporal Relation Extraction
COLING 2022
Argumentation Mining on Essays at Multi Scales
COLING 2020
Accelerated Inference Framework of Sparse Neural Network Based on Nested Bitmask Structure
IJCAI 2019
Heavy-ball Algorithms Always Escape Saddle Points
IJCAI 2019
Towards Precise End-to-End Weakly Supervised Object Detection Network
ICCV 2019
Approximate Large-scale Multiple Kernel k-means Using Deep Neural Network
IJCAI 2017
Confusion Graph: Detecting Confusion Communities in Large Scale Image Classification
IJCAI 2017
Multiple Kernel Clustering Framework with Improved Kernels
IJCAI 2017
Multiple Kernel Clustering with Local Kernel Alignment Maximization
IJCAI 2016