Shizhan Liu
5 papers · 2022–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot ยท Bronze
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Interdisciplinary Bridge ยท Bronze
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Taxonomy Completionist
(10)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(4)
Learning Types
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Natural Language Processing
(1)
Analysis
(1)
Application Areas
(1)
Architectures
(1)
Core AI
(1)
Core Methods
(1)
Generation
(1)
Methods
(1)
Optimization & Theory
(1)
Keywords
time series forecasting
(2)
transformer architecture
(2)
semantic segmentation
(1)
domain adaptation
(1)
density estimation
(1)
self-supervised learning
(1)
attention mechanism
(1)
feature space
(1)
recurrent model
(1)
linear attention
(1)
basis function
(1)
model efficiency
(1)
long-range dependency
(1)
multivariate forecasting
(1)
multi-resolution representation
(1)
active domain adaptation
(1)
large language model
(1)
core-set sampling
(1)
semantic compression
(1)
density-aware greedy
(1)
Papers
Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions
ICLR 2025
BaSIC: BayesNet Structure Learning for Computational Scalable Neural Image Compression
ECCV 2024
Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation
AAAI 2024
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis
NeurIPS 2023
Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting
ICLR 2022