Zhaocheng Zhu
11 papers · 2020–2025 · 3 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 (20) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π₯
Mega-Team Β· Squad
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Topic Evolution
π€
Dynamic Duo
(10)
β
The Questioner
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
ποΈ
Keyword Collector
(57)
Venues
Top co-authors
Research topics
Deep Learning
(8)
Artificial Intelligence
(7)
Architectures
(6)
Knowledge & Reasoning
(5)
Machine Learning
(5)
Core AI
(5)
Representation
(5)
Reasoning
(4)
Core Methods
(2)
Learning Paradigms
(2)
Learning Types Β· Machine Learning
(2)
Healthcare & Medicine
(1)
Application Areas
(1)
Learning Types Β· Deep Learning
(1)
Models
(1)
Keywords
knowledge graph
(6)
link prediction
(4)
graph neural network
(4)
foundation model
(3)
multi-task learning
(2)
inductive reasoning
(2)
logical query
(2)
attention mechanism
(1)
transfer learning
(1)
zero-shot learning
(1)
protein structure prediction
(1)
protein sequence
(1)
first-order logic
(1)
information acquisition
(1)
graph embedding
(1)
graph representation
(1)
entity embedding
(1)
autoregressive model
(1)
molecular machine learning
(1)
graph generation
(1)
Papers
From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?
ICML 2025
Fully-inductive Node Classification on Arbitrary Graphs
ICLR 2025
A Foundation Model for Zero-shot Logical Query Reasoning
NeurIPS 2024
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
ICLR 2024
Towards Foundation Models for Knowledge Graph Reasoning
ICLR 2024
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs
NeurIPS 2023
Inductive Logical Query Answering in Knowledge Graphs
NeurIPS 2022
Neural-Symbolic Models for Logical Queries on Knowledge Graphs
ICML 2022
PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding
NeurIPS 2022
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
NeurIPS 2021
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
ICLR 2020