Zheyuan Liu
22 papers · 2017–2026 · 11 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 (54) π Academic Marathon Β· Sprint π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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The Questioner
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(5)
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Prolific Year Β· Productive
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Artificial Intelligence
(17)
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(17)
Machine Learning
(15)
Deep Learning
(11)
Learning Types Β· Machine Learning
(9)
Application Areas
(8)
Learning Types Β· Deep Learning
(7)
Natural Language Processing
(6)
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(4)
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(3)
Optimization & Theory
(3)
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(3)
Computer Vision
(2)
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(2)
Keywords
machine unlearning
(6)
large language model
(6)
model utility
(3)
multimodal learning
(3)
parameter-efficient fine-tuning
(3)
knowledge editing
(3)
privacy preservation
(3)
multimodal large language model
(3)
personalized language model
(2)
composed image retrieval
(2)
reasoning capability
(2)
model merging
(2)
vision-language model
(2)
parameter update
(2)
graph neural network
(2)
audio-visual learning
(1)
visual question answering
(1)
semantic analysis
(1)
source localization
(1)
contrastive learning
(1)
Papers
Adaptive and Context-rich Generative Self-supervised Learning on Graphs
AAAI 2026
Behavior Knowledge Merge in Reinforced Agentic Models
ACL 2026
Instant Personalized Large Language Model Adaptation via Hypernetwork
ACL 2026
Knowledge Control for Responsible Generative AI: Bridging Academia, Industry, and Society
ACL 2026
Avoiding Copyright Infringement via Large Language Model Unlearning
NAACL 2025
Disentangling Biased Knowledge from Reasoning in Large Language Models via Machine Unlearning
ACL 2025
Incorporating Rather Than Eliminating: Achieving Fairness for Skin Disease Diagnosis Through Group-Specific Experts
MICCAI 2025
Knowing More, Acting Better: Hierarchical Representation for Embodied Decision-Making
EMNLP 2025
Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models
ACL 2025
Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench
NAACL 2025
Superficial Self-Improved Reasoners Benefit from Model Merging
EMNLP 2025
UPME: An Unsupervised Peer Review Framework for Multimodal Large Language Model Evaluation
CVPR 2025
Bi-Directional Training for Composed Image Retrieval via Text Prompt Learning
WACV 2024
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning
EMNLP 2024
DiffStega: Towards Universal Training-Free Coverless Image Steganography with Diffusion Models
IJCAI 2024
OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint Detection
ECCV 2024
Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts
EMNLP 2024
Towards Safer Large Language Models through Machine Unlearning
ACL 2024
Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization
ICLR 2023
Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning
CVPR 2023
Image Retrieval on Real-Life Images With Pre-Trained Vision-and-Language Models
ICCV 2021
KnowYourNyms? A Game of Semantic Relationships
EMNLP 2017