Zhanke Zhou
15 papers · 2022–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (7) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (14)
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Cross-Pollinator
(14)
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Keyword Pioneer
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Dynamic Duo
(13)
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Triple Crown
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Grand Slam
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Century Club
(15)
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Prolific Year
(5)
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The Questioner
(2)
Conferences
ICLR (4)
ICML (4)
NIPS (3)
AAAI (1)
ACL (1)
COLING (1)
EMNLP (1)
Top co-authors
Keywords
large language model
(3)
graph neural network
(2)
link prediction
(2)
contrastive learning
(1)
benchmark evaluation
(1)
few-shot learning
(1)
edge noise
(1)
domain adaptation
(1)
information bottleneck
(1)
hyperparameter optimization
(1)
prototype learning
(1)
logical reasoning
(1)
boolean satisfiability
(1)
self-supervised learning
(1)
privacy preservation
(1)
in-context learning
(1)
graph representation
(1)
neural network optimization
(1)
automated reasoning
(1)
transfer learning
(1)
Papers
From Debate to Equilibrium: Belief-Driven Multi-Agent LLM Reasoning via Bayesian Nash Equilibrium
ICML 2025
Eliciting Causal Abilities in Large Language Models for Reasoning Tasks
AAAI 2025
Noisy Test-Time Adaptation in Vision-Language Models
ICLR 2025
Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond
ICLR 2025
From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?
ICML 2025
Physics Reasoner: Knowledge-Augmented Reasoning for Solving Physics Problems with Large Language Models
COLING 2025
SATBench: Benchmarking LLMs’ Logical Reasoning via Automated Puzzle Generation from SAT Formulas
EMNLP 2025
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
ICLR 2024
Mind the Gap Between Prototypes and Images in Cross-domain Finetuning
NIPS 2024
Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?
NIPS 2024
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
ICLR 2024
Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection
ICML 2024
Combating Bilateral Edge Noise for Robust Link Prediction
NIPS 2023
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
ICML 2023
Efficient Hyper-parameter Search for Knowledge Graph Embedding
ACL 2022