Zheyuan Liu
22 papers · 2017–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (13) π§ Keyword Pioneer π Academic Marathon (8) π Conference Polyglot (10) π Renaissance Researcher (7)
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Renaissance Researcher
(7)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(53)
π§¬
Topic Evolution
π
Keyword Champion
(2)
π
Century Club
(18)
β‘
Prolific Year
(6)
β
The Questioner
π
Trend Setter
ποΈ
Keyword Collector
(98)
Conferences
ACL (6)
EMNLP (5)
CVPR (2)
NAACL (2)
AAAI (1)
ECCV (1)
ICCV (1)
ICLR (1)
IJCAI (1)
MICCAI (1)
WACV (1)
Top co-authors
Research topics
Keywords
large language model
(6)
machine unlearning
(6)
privacy preservation
(3)
parameter-efficient fine-tuning
(3)
knowledge editing
(3)
multimodal large language model
(3)
model utility
(3)
multimodal learning
(2)
model merging
(2)
parameter efficient fine tuning
(2)
reasoning capability
(2)
personalized language model
(2)
composed image retrieval
(2)
parameter update
(2)
vision-language model
(2)
audio-visual learning
(1)
visual question answering
(1)
semantic analysis
(1)
source localization
(1)
contrastive learning
(1)
Papers
Instant Personalized Large Language Model Adaptation via Hypernetwork
ACL 2026
Behavior Knowledge Merge in Reinforced Agentic Models
ACL 2026
Knowledge Control for Responsible Generative AI: Bridging Academia, Industry, and Society
ACL 2026
Adaptive and Context-rich Generative Self-supervised Learning on Graphs
AAAI 2026
Avoiding Copyright Infringement via Large Language Model Unlearning
NAACL 2025
Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models
ACL 2025
Superficial Self-Improved Reasoners Benefit from Model Merging
EMNLP 2025
Disentangling Biased Knowledge from Reasoning in Large Language Models via Machine Unlearning
ACL 2025
Knowing More, Acting Better: Hierarchical Representation for Embodied Decision-Making
EMNLP 2025
UPME: An Unsupervised Peer Review Framework for Multimodal Large Language Model Evaluation
CVPR 2025
Incorporating Rather Than Eliminating: Achieving Fairness for Skin Disease Diagnosis Through Group-Specific Experts
MICCAI 2025
Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench
NAACL 2025
Towards Safer Large Language Models through Machine Unlearning
ACL 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
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
Bi-Directional Training for Composed Image Retrieval via Text Prompt Learning
WACV 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