Yuanchun Zhou
17 papers · 2020–2026 · 4 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Gold πΊοΈ Taxonomy Completionist (47) π Conference Polyglot Β· Bronze π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
π
Renaissance Researcher
(9)
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Prolific Year Β· Productive
π
Century Club Β· Bronze
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Keyword Collector
(86)
Venues
Top co-authors
Research topics
Machine Learning
(13)
Learning Types Β· Machine Learning
(10)
Deep Learning
(8)
Core Methods
(8)
Artificial Intelligence
(5)
Knowledge & Reasoning
(4)
Application Areas
(4)
Learning Paradigms
(4)
Learning Types Β· Deep Learning
(4)
Representation
(4)
Natural Language Processing
(3)
Architectures
(3)
Reasoning
(3)
Healthcare & Medicine
(2)
Reinforcement Learning
(2)
Keywords
graph neural network
(3)
link prediction
(3)
neural network
(3)
knowledge graph reasoning
(2)
temporal reasoning
(2)
representation learning
(2)
reinforcement learning
(2)
large language model
(2)
graph representation learning
(2)
domain adaptation
(2)
temporal knowledge graph
(2)
single-cell rna sequencing
(2)
optimal transport
(1)
model robustness
(1)
embedding learning
(1)
gradient-based optimization
(1)
metric learning
(1)
paraphrase generation
(1)
imitation learning
(1)
adversarial training
(1)
Papers
scCluBench: Comprehensive Benchmarking of Clustering Algorithms for Single-Cell RNA Sequencing
AAAI 2026
TLSA: LLM-Guided Text-Label Space Alignment with Contrastive Learning for Generalized Category Discovery
ACL 2026
Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning
ACL 2025
Diversity-oriented Data Augmentation with Large Language Models
ACL 2025
Dynamic and Adaptive Feature Generation with LLM
IJCAI 2025
Motif-Oriented Representation Learning with Topology Refinement for Drug-Drug Interaction Prediction
AAAI 2025
Rethinking Graph Contrastive Learning Through Relative Similarity Preservation
IJCAI 2025
scSiameseClu: A Siamese Clustering Framework for Interpreting Single-cell RNA Sequencing Data
IJCAI 2025
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization
IJCAI 2024
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning
IJCAI 2023
Autodive: An Integrated Onsite Scientific Literature Annotation Tool
ACL 2023
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting
AAAI 2023
Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions
NeurIPS 2023
Semi-supervised Domain Adaptation in Graph Transfer Learning
IJCAI 2023
Context-Enhanced Entity and Relation Embedding for Knowledge Graph Completion (Student Abstract)
AAAI 2021
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective
AAAI 2021
Exploiting Mutual Information for Substructure-aware Graph Representation Learning
IJCAI 2020