Jiashun Cheng
8 papers · 2023–2026 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(25)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(7)
Deep Learning
(6)
Core Methods
(4)
Artificial Intelligence
(3)
Application Areas
(3)
Architectures
(3)
Core AI
(3)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(3)
Optimization & Theory · Deep Learning
(2)
Computer Vision
(1)
Analysis
(1)
Domain-Specific
(1)
Optimization & Theory · Machine Learning
(1)
Techniques
(1)
Keywords
foundation model
(2)
low-rank adaptation
(2)
parameter-efficient fine-tuning
(2)
model compression
(2)
domain adaptation
(1)
matrix factorization
(1)
contrastive learning
(1)
pseudo labeling
(1)
link prediction
(1)
model adaptation
(1)
graph representation
(1)
neural network optimization
(1)
remote sensing
(1)
fisher information
(1)
missing data imputation
(1)
trajectory prediction
(1)
weather prediction
(1)
neural ordinary differential equation
(1)
fourier transform
(1)
graph learning
(1)
Papers
CrossEarth-Gate: Fisher-Guided Adaptive Tuning Engine for Efficient Adaptation of Cross-Domain Remote Sensing Semantic Segmentation
CVPR 2026
CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer
ICLR 2025
Parameter-Efficient Fine-Tuning via Circular Convolution
ACL 2025
Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps
ACL 2025
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases
ICLR 2024
Deep Insights into Noisy Pseudo Labeling on Graph Data
NeurIPS 2023
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
AAAI 2023
Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning
AAAI 2023