Zeyu Liu
15 papers · 2020–2026 · 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
Jump to papers ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (36) π Academic Marathon Β· Sprint π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
ποΈ
Keyword Collector
(65)
π
Conference Pioneer
β
The Questioner
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
π
Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(11)
Deep Learning
(7)
Artificial Intelligence
(6)
Core AI
(6)
Application Areas
(5)
Architectures
(5)
Computer Vision
(4)
Learning Types
(4)
Optimization & Theory Β· Machine Learning
(4)
Analysis
(2)
Core Methods
(2)
Optimization & Theory Β· Deep Learning
(2)
Processing
(2)
Knowledge & Reasoning
(1)
Natural Language Processing
(1)
Keywords
model compression
(2)
spiking neural network
(2)
efficient computing
(2)
neural network optimization
(2)
knowledge distillation
(1)
data augmentation
(1)
multi-task learning
(1)
structure from motion
(1)
self-supervised learning
(1)
visual localization
(1)
image reconstruction
(1)
semantic alignment
(1)
prompt learning
(1)
depth estimation
(1)
out-of-distribution generalization
(1)
speech recognition
(1)
image matching
(1)
sequence learning
(1)
exploration policy
(1)
domain adaptation
(1)
Papers
InfiGUI-G1: Advancing GUI Grounding with Adaptive Exploration Policy Optimization
AAAI 2026
CODA: Repurposing Continuous VAEs for Discrete Tokenization
ICCV 2025
Joint Scheduling of Causal Prompts and Tasks for Multi-Task Learning
CVPR 2025
LAWCAT: Efficient Distillation from Quadratic to Linear Attention with Convolution across Tokens for Long Context Modeling
EMNLP 2025
Local Identifying Causal Relations in the Presence of Latent Variables
ICML 2025
AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models
ACL 2024
Can we get the best of both Binary Neural Networks and Spiking Neural Networks for Efficient Computer Vision?
ICLR 2024
Generating Progressive Images from Pathological Transitions via Diffusion Model
MICCAI 2024
Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering
ECCV 2024
LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units
ICLR 2024
Dynamic Perceiver for Efficient Visual Recognition
ICCV 2023
Enabling ISPless Low-Power Computer Vision
WACV 2023
FeatureBooster: Boosting Feature Descriptors With a Lightweight Neural Network
CVPR 2023
StructDepth: Leveraging the Structural Regularities for Self-Supervised Indoor Depth Estimation
ICCV 2021
Linguistically-Informed Transformations (LIT): A Method for Automatically Generating Contrast Sets
EMNLP 2020