Jiayi Shen
20 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Academic Marathon (6)
π
Renaissance Researcher
(6)
π
Conference Polyglot
(7)
π
Academic Marathon
(6)
π
Triple Crown
π₯
Unstoppable
(7)
π
Century Club
(19)
π
Conference Pioneer
ποΈ
Keyword Collector
(70)
Conferences
ICLR (4)
NIPS (4)
CVPR (3)
ICCV (3)
ICML (3)
ACL (1)
EMNLP (1)
WACV (1)
Top co-authors
Keywords
multi-task learning
(4)
zero-shot learning
(3)
representation learning
(2)
density estimation
(2)
graph neural network
(2)
crowd counting
(2)
domain generalization
(2)
few-shot learning
(1)
principal component analysis
(1)
image classification
(1)
transfer learning
(1)
matrix factorization
(1)
attention mechanism
(1)
image retrieval
(1)
variational inference
(1)
self-supervised learning
(1)
prototype learning
(1)
embedding learning
(1)
uncertainty quantification
(1)
probabilistic modeling
(1)
Papers
SpidR-Adapt: A Universal Speech Representation Model for Few-Shot Adaptation
ACL 2026
Probabilistic Prototype Calibration of Vision-language Models for Generalized Few-shot Semantic Segmentation
ICCV 2025
LongTail-Swap: benchmarking language modelsβ abilities on rare words
EMNLP 2025
DynaPrompt: Dynamic Test-Time Prompt Tuning
ICLR 2025
Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes
ICML 2025
GO4Align: Group Optimization for Multi-Task Alignment
NIPS 2024
Any-Shift Prompting for Generalization over Distributions
CVPR 2024
Episodic Multi-Task Learning with Heterogeneous Neural Processes
NIPS 2023
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail
CVPR 2023
NFormer: Robust Person Re-Identification With Neighbor Transformer
CVPR 2022
Association Graph Learning for Multi-Task Classification with Category Shifts
NIPS 2022
Unified Visual Transformer Compression
ICLR 2022
Learning A Minimax Optimizer: A Pilot Study
ICLR 2021
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
ICML 2021
Variational Multi-Task Learning with Gumbel-Softmax Priors
NIPS 2021
UMEC: Unified model and embedding compression for efficient recommendation systems
ICLR 2021
Model-Agnostic Metric for Zero-Shot Learning
WACV 2020
Eliminating the Invariance on the Loss Landscape of Linear Autoencoders
ICML 2020
Relational Attention Network for Crowd Counting
ICCV 2019
Attentional Neural Fields for Crowd Counting
ICCV 2019