Zhenyu Liu
15 papers · 2021–2026 · 10 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 (45) π Academic Marathon Β· Sprint π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
ποΈ
Keyword Collector
(83)
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Renaissance Researcher
(7)
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Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
Venues
Top co-authors
Research topics
Artificial Intelligence
(10)
Deep Learning
(10)
Core AI
(8)
Learning Types Β· Deep Learning
(7)
Machine Learning
(6)
Natural Language Processing
(5)
Applications
(4)
Learning Types Β· Machine Learning
(4)
Models
(4)
Healthcare & Medicine
(3)
Architectures
(3)
Clinical
(3)
Learning Paradigms
(3)
Generation
(2)
Computer Vision
(1)
Keywords
large language model
(3)
retrieval-augmented generation
(2)
in-context learning
(2)
few-shot learning
(1)
causal reasoning
(1)
curriculum learning
(1)
anomaly detection
(1)
preference learning
(1)
medical imaging
(1)
attention mechanism
(1)
fact verification
(1)
knowledge editing
(1)
multimodal learning
(1)
text generation
(1)
information retrieval
(1)
prototype learning
(1)
model unlearning
(1)
test-time adaptation
(1)
semantic alignment
(1)
imitation learning
(1)
Papers
Hierarchical Acoustic-Semantic Modeling: Modality Separation and Semantic Coherence for Full-Duplex SLMs
ACL 2026
UniMoE-Audio: Unified Speech and Music Generation with Dynamic-Capacity Mixture-of-Experts
ACL 2026
FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG
NAACL 2025
TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions
CVPR 2025
Improving Attributed Text Generation of Large Language Models via Preference Learning
ACL 2024
In-Context Learning State Vector with Inner and Momentum Optimization
NeurIPS 2024
M2Fusion: Multi-time Multimodal Fusion for Prediction of Pathological Complete Response in Breast Cancer
MICCAI 2024
Medico: Towards Hallucination Detection and Correction with Multi-source Evidence Fusion
EMNLP 2024
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images
AAAI 2024
Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation
AAAI 2024
Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment
EMNLP 2024
JAMFN: Joint Attention Multi-Scale Fusion Network for Depression Detection
Interspeech 2023
One-for-All: Proposal Masked Cross-Class Anomaly Detection
AAAI 2023
PPAT: Progressive Graph Pairwise Attention Network for Event Causality Identification
IJCAI 2023
Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention
CoRL 2021