Zhanke Zhou
15 papers · 2022–2025 · 7 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (38) π€ Dynamic Duo (13) π Grand Slam
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Triple Crown
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Keyword Collector
(78)
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The Questioner
(2)
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Prolific Year Β· Productive
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(10)
Core AI
(9)
Learning Types Β· Machine Learning
(8)
Deep Learning
(5)
Architectures
(4)
Core Methods
(4)
Knowledge & Reasoning
(3)
Application Areas
(3)
Optimization & Theory
(3)
Representation
(3)
Natural Language Processing
(2)
Generation
(1)
Learning Paradigms
(1)
Learning Types Β· Deep Learning
(1)
Keywords
large language model
(7)
graph neural network
(4)
link prediction
(3)
domain adaptation
(2)
knowledge graph
(2)
benchmark evaluation
(1)
edge noise
(1)
contrastive learning
(1)
privacy preservation
(1)
information bottleneck
(1)
hyperparameter optimization
(1)
prototype learning
(1)
logical reasoning
(1)
boolean satisfiability
(1)
multimodal learning
(1)
transfer learning
(1)
in-context learning
(1)
test-time adaptation
(1)
self-supervised learning
(1)
few-shot learning
(1)
Papers
Eliciting Causal Abilities in Large Language Models for Reasoning Tasks
AAAI 2025
From Debate to Equilibrium: Belief-Driven Multi-Agent LLM Reasoning via Bayesian Nash Equilibrium
ICML 2025
From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?
ICML 2025
Noisy Test-Time Adaptation in Vision-Language Models
ICLR 2025
Physics Reasoner: Knowledge-Augmented Reasoning for Solving Physics Problems with Large Language Models
COLING 2025
Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond
ICLR 2025
SATBench: Benchmarking LLMsβ Logical Reasoning via Automated Puzzle Generation from SAT Formulas
EMNLP 2025
Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?
NeurIPS 2024
Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection
ICML 2024
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
ICLR 2024
Mind the Gap Between Prototypes and Images in Cross-domain Finetuning
NeurIPS 2024
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
ICLR 2024
Combating Bilateral Edge Noise for Robust Link Prediction
NeurIPS 2023
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
ICML 2023
Efficient Hyper-parameter Search for Knowledge Graph Embedding
ACL 2022