Shizhan Liu
5 papers · 2022–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌍
Conference Polyglot
(4)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(15)
Conferences
ICLR (2)
AAAI (1)
ECCV (1)
NIPS (1)
Top co-authors
Keywords
active learning
(1)
contrastive learning
(1)
semantic segmentation
(1)
domain adaptation
(1)
density estimation
(1)
self-supervised learning
(1)
attention mechanism
(1)
feature space
(1)
time series forecasting
(1)
basis function
(1)
multivariate forecasting
(1)
active domain adaptation
(1)
core-set sampling
(1)
density-aware greedy
(1)
Papers
Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions
ICLR 2025
Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation
AAAI 2024
BaSIC: BayesNet Structure Learning for Computational Scalable Neural Image Compression
ECCV 2024
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis
NIPS 2023
Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting
ICLR 2022