Jiashun Cheng
7 papers · 2023–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (4) π Cross-Pollinator (9) πΊοΈ Taxonomy Completionist (18) π§ Keyword Pioneer
π£
Hot Topic Early Bird
Conferences
AAAI (2)
ACL (2)
ICLR (2)
NIPS (1)
Top co-authors
Keywords
low-rank adaptation
(2)
model compression
(2)
contrastive learning
(1)
link prediction
(1)
matrix factorization
(1)
graph learning
(1)
pseudo labeling
(1)
model adaptation
(1)
graph representation
(1)
neural network optimization
(1)
missing data imputation
(1)
foundation model
(1)
parameter-efficient fine-tuning
(1)
node classification
(1)
parameter efficient fine-tuning
(1)
noisy label
(1)
graph autoencoder
(1)
predictive learning
(1)
circular convolution
(1)
large language model
(1)
Papers
Parameter-Efficient Fine-Tuning via Circular Convolution
ACL 2025
Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps
ACL 2025
CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer
ICLR 2025
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases
ICLR 2024
Deep Insights into Noisy Pseudo Labeling on Graph Data
NIPS 2023
Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning
AAAI 2023
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
AAAI 2023