Fugee Tsung
16 papers · 2020–2026 · 7 conferences · across top CS/AI conferences
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ECCV (1)
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Top co-authors
Keywords
graph neural network
(3)
low-rank adaptation
(2)
medical time series
(2)
model compression
(2)
representation learning
(2)
image generation
(1)
image dehazing
(1)
few-shot learning
(1)
multimodal learning
(1)
graph learning
(1)
link prediction
(1)
pseudo labeling
(1)
model adaptation
(1)
graph representation
(1)
block coordinate descent
(1)
matrix factorization
(1)
mutual information
(1)
event forecasting
(1)
tensor completion
(1)
neural network optimization
(1)
Papers
METP: Multi-Granularity Integration of External Covariates for Temporal Point Processes
AAAI 2026
MedSpaformer: A Transferable Transformer with Multi-Granularity Token Sparsification for Medical Time Series Classification
AAAI 2026
GenHaze: Pioneering Controllable One-Step Realistic Haze Generation for Real-World Dehazing
ICCV 2025
Parameter-Efficient Fine-Tuning via Circular Convolution
ACL 2025
Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps
ACL 2025
Agent-Oriented Planning in Multi-Agent Systems
ICLR 2025
CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer
ICLR 2025
MedualTime: A Dual-Adapter Language Model for Medical Time Series-Text Multimodal Learning
IJCAI 2025
An Incremental Unified Framework for Small Defect Inspection
ECCV 2024
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
Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax
AAAI 2023
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
AAAI 2023
GRELEN: Multivariate Time Series Anomaly Detection from the Perspective of Graph Relational Learning
IJCAI 2022
Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction
AAAI 2020