Kaixiong Zhou
36 papers · 2019–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (11) π Renaissance Researcher (5) π Interdisciplinary Bridge π Academic Marathon (6)
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Keyword Pioneer
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Taxonomy Completionist
(61)
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Grand Slam
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Dynamic Duo
(21)
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Unstoppable
(7)
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Century Club
(35)
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Keyword Collector
(124)
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Prolific Year
(12)
Conferences
ICML (7)
NIPS (6)
ICLR (5)
ACL (4)
IJCAI (4)
EMNLP (3)
AAAI (2)
CVPR (2)
AUTOML (1)
ICCV (1)
NAACL (1)
Top co-authors
Keywords
graph neural network
(8)
large language model
(5)
knowledge editing
(3)
feature interaction
(2)
language model
(2)
model editing
(2)
computational efficiency
(2)
stochastic gradient descent
(1)
catastrophic forgetting
(1)
contrastive learning
(1)
matrix factorization
(1)
graph classification
(1)
attention mechanism
(1)
weakly supervised learning
(1)
image generation
(1)
few-shot learning
(1)
continual learning
(1)
in-context learning
(1)
question decomposition
(1)
data augmentation
(1)
Papers
Catastrophic Forgetting in Kolmogorov-Arnold Networks
AAAI 2026
Flexible Group Count Enables Hassle-Free Structured Pruning
CVPR 2025
Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense
NAACL 2025
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit
ACL 2025
Vision Language Model Helps Private Information De-Identification in Vision Data
ACL 2025
DAMO: Decoding by Accumulating Activations Momentum for Mitigating Hallucinations in Vision-Language Models
ICLR 2025
Retrieval Augmented Zero-Shot Enzyme Generation for Specified Substrate
ICML 2025
MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations
ICLR 2025
Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges
ACL 2025
Cross-Lingual Multi-Hop Knowledge Editing
EMNLP 2024
Pioneering Reliable Assessment in Text-to-Image Knowledge Editing: Leveraging a Fine-Grained Dataset and an Innovative Criterion
EMNLP 2024
Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models
ICLR 2024
Knowledge Graphs Can be Learned with Just Intersection Features
ICML 2024
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data
ICML 2024
TVE: Learning Meta-attribution for Transferable Vision Explainer
ICML 2024
Soft Prompt Recovers Compressed LLMs, Transferably
ICML 2024
GNNs Also Deserve Editing, and They Need It More Than Once
ICML 2024
Gradient Rewiring for Editable Graph Neural Network Training
NIPS 2024
PokeMQA: Programmable knowledge editing for Multi-hop Question Answering
ACL 2024
Molecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision
CVPR 2024
QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware
EMNLP 2024
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model
NIPS 2023
Probabilistic Masked Attention Networks for Explainable Sequential Recommendation
IJCAI 2023
RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations
ICML 2023
EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression
ICLR 2022
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking
NIPS 2022
AutoCoG: A Unified Data-Model Co-Search Framework for Graph Neural Networks
AUTOML 2022
Orthogonal Graph Neural Networks
AAAI 2022
An Information Fusion Approach to Learning with Instance-Dependent Label Noise
ICLR 2022
Table2Graph: Transforming Tabular Data to Unified Weighted Graph
IJCAI 2022
DivAug: Plug-In Automated Data Augmentation With Explicit Diversity Maximization
ICCV 2021
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
NIPS 2021
Multi-Channel Graph Neural Networks
IJCAI 2020
Detecting Interactions from Neural Networks via Topological Analysis
NIPS 2020
Towards Deeper Graph Neural Networks with Differentiable Group Normalization
NIPS 2020
Experience Replay Optimization
IJCAI 2019