zheng Yu
16 papers · 2015–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (10) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (8) π Cross-Pollinator (12)
π
Cross-Pollinator
(12)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(46)
π
Grand Slam
π
Century Club
(16)
π
Conference Pioneer
ποΈ
Keyword Collector
(79)
π₯
Unstoppable
(7)
Conferences
ICML (3)
IJCAI (3)
NIPS (3)
AAAI (2)
ICCV (2)
CVPR (1)
ICLR (1)
UAI (1)
Top co-authors
Keywords
oblivious sketching
(2)
kernel methods
(2)
gibbs sampling
(2)
neural tangent kernel
(2)
stochastic gradient
(1)
convex optimization
(1)
stochastic optimization
(1)
image generation
(1)
dimensionality reduction
(1)
nonparametric bayesian
(1)
vision-language navigation
(1)
spectral clustering
(1)
bayesian nonparametrics
(1)
bayesian inference
(1)
policy gradient
(1)
matrix factorization
(1)
multimodal learning
(1)
global convergence
(1)
sample complexity
(1)
link prediction
(1)
Papers
Deep Reinforcement Learning for Efficient and Fair Allocation of Healthcare Resources
IJCAI 2025
FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images
NIPS 2024
VLN-PETL: Parameter-Efficient Transfer Learning for Vision-and-Language Navigation
ICCV 2023
March in Chat: Interactive Prompting for Remote Embodied Referring Expression
ICCV 2023
Deep Reinforcement Learning for Cost-Effective Medical Diagnosis
ICLR 2023
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability
ICML 2023
HOP: History-and-Order Aware Pre-Training for Vision-and-Language Navigation
CVPR 2022
Fast Graph Neural Tangent Kernel via Kronecker Sketching
AAAI 2022
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method
NIPS 2021
Fast Sketching of Polynomial Kernels of Polynomial Degree
ICML 2021
Oblivious Sketching-based Central Path Method for Linear Programming
ICML 2021
Generalized Leverage Score Sampling for Neural Networks
NIPS 2020
Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel
AAAI 2020
Recurrent Dirichlet Belief Networks for interpretable Dynamic Relational Data Modelling
IJCAI 2020
Online Factorization and Partition of Complex Networks by Random Walk
UAI 2019
Learning Term Embeddings for Hypernymy Identification
IJCAI 2015