SHIYU LIU
18 papers · 2018–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (10) π Cross-Pollinator (12)
πΊοΈ
Taxonomy Completionist
(55)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π§¬
Topic Evolution
π
Conference Pioneer
β‘
Prolific Year
(6)
π
Century Club
(16)
ποΈ
Keyword Collector
(104)
Conferences
AAAI (3)
NSDI (3)
ACL (2)
CVPR (2)
EMNLP (2)
IJCAI (2)
AISTATS (1)
MICCAI (1)
NIPS (1)
WACV (1)
Top co-authors
Research topics
Keywords
video compression
(3)
generalization bound
(2)
physics-guided learning
(2)
domain adaptation
(2)
neural machine translation
(1)
video prediction
(1)
bayesian inference
(1)
machine translation
(1)
anomaly detection
(1)
information extraction
(1)
knowledge transfer
(1)
multimodal learning
(1)
test-time adaptation
(1)
entropy coding
(1)
semantic alignment
(1)
medical image segmentation
(1)
prompt learning
(1)
deep learning
(1)
neural network optimization
(1)
deformable convolution
(1)
Papers
AirDDE: Multifactor Neural Delay Differential Equations for Air Quality Forecasting
AAAI 2026
MoCast: Learning Turbulent Motions Under Physical Guidance for Precipitation Nowcasting
AAAI 2026
Efficient Deformable Convolutional Prompt for Continual Test-Time Adaptation in Medical Image Segmentation
AAAI 2025
CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference
ACL 2025
On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond
AISTATS 2025
Controllable Counterfactual Generation for Interpretable Medical Image Classification
MICCAI 2024
Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy
IJCAI 2024
VCISR: Blind Single Image Super-Resolution With Video Compression Synthetic Data
WACV 2024
Efficient k-Nearest-Neighbor Machine Translation with Dynamic Retrieval
ACL 2024
Multi-Level Cross-Modal Alignment for Speech Relation Extraction
EMNLP 2024
A Learning Rate Path Switching Training Paradigm for Version Updates of Large Language Models
EMNLP 2024
Stability and Generalization of lp-Regularized Stochastic Learning for GCN
IJCAI 2023
MMVC: Learned Multi-Mode Video Compression With Block-Based Prediction Mode Selection and Density-Adaptive Entropy Coding
CVPR 2023
Breaking the Transience-Equilibrium Nexus: A New Approach to Datacenter Packet Transport
NSDI 2021
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE
NIPS 2021
Deep Learning in Latent Space for Video Prediction and Compression
CVPR 2021
SIMON: A Simple and Scalable Method for Sensing, Inference and Measurement in Data Center Networks
NSDI 2019
Exploiting a Natural Network Effect for Scalable, Fine-grained Clock Synchronization
NSDI 2018