Jiayi Shen
20 papers · 2019–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (49) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Triple Crown
π§
Keyword Pioneer
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
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Conference Pioneer
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Century Club Β· Bronze
ποΈ
Keyword Collector
(96)
Top co-authors
Research topics
Machine Learning
(19)
Artificial Intelligence
(10)
Deep Learning
(9)
Learning Types Β· Machine Learning
(9)
Core Methods
(8)
Computer Vision
(6)
Analysis
(6)
Application Areas
(5)
Core AI
(5)
Learning Types Β· Deep Learning
(5)
Optimization & Theory
(5)
Learning Paradigms
(4)
Architectures
(3)
Bayesian & Probabilistic
(3)
Mathematics & Optimization
(1)
Keywords
zero-shot learning
(4)
multi-task learning
(4)
representation learning
(2)
model compression
(2)
vision-language model
(2)
domain generalization
(2)
graph neural network
(2)
crowd counting
(2)
knowledge distillation
(2)
density estimation
(2)
metric learning
(1)
variational inference
(1)
transfer learning
(1)
domain adaptation
(1)
neural network pruning
(1)
probabilistic modeling
(1)
feature selection
(1)
few-shot learning
(1)
image retrieval
(1)
matrix factorization
(1)
Papers
SpidR-Adapt: A Universal Speech Representation Model for Few-Shot Adaptation
ACL 2026
DynaPrompt: Dynamic Test-Time Prompt Tuning
ICLR 2025
LongTail-Swap: benchmarking language modelsβ abilities on rare words
EMNLP 2025
Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes
ICML 2025
Probabilistic Prototype Calibration of Vision-language Models for Generalized Few-shot Semantic Segmentation
ICCV 2025
Any-Shift Prompting for Generalization over Distributions
CVPR 2024
GO4Align: Group Optimization for Multi-Task Alignment
NeurIPS 2024
Episodic Multi-Task Learning with Heterogeneous Neural Processes
NeurIPS 2023
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail
CVPR 2023
Association Graph Learning for Multi-Task Classification with Category Shifts
NeurIPS 2022
NFormer: Robust Person Re-Identification With Neighbor Transformer
CVPR 2022
Unified Visual Transformer Compression
ICLR 2022
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
ICML 2021
Learning A Minimax Optimizer: A Pilot Study
ICLR 2021
UMEC: Unified model and embedding compression for efficient recommendation systems
ICLR 2021
Variational Multi-Task Learning with Gumbel-Softmax Priors
NeurIPS 2021
Eliminating the Invariance on the Loss Landscape of Linear Autoencoders
ICML 2020
Model-Agnostic Metric for Zero-Shot Learning
WACV 2020
Attentional Neural Fields for Crowd Counting
ICCV 2019
Relational Attention Network for Crowd Counting
ICCV 2019