zheng Yu
16 papers · 2015–2025 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (48) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Grand Slam
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Renaissance Researcher
(7)
ποΈ
Keyword Collector
(83)
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(8)
Optimization & Theory
(8)
Core AI
(6)
Mathematics & Optimization
(5)
Core Methods
(5)
Optimization
(4)
Data Science & Analytics
(3)
Learning Paradigms
(3)
Deep Learning
(2)
Reinforcement Learning
(2)
Application Areas
(2)
Applications
(2)
Bayesian & Probabilistic
(2)
Learning Types
(2)
Keywords
neural tangent kernel
(2)
kernel methods
(2)
gibbs sampling
(2)
vision-language navigation
(2)
oblivious sketching
(2)
spectral clustering
(1)
stochastic gradient
(1)
stochastic optimization
(1)
image generation
(1)
bayesian nonparametrics
(1)
nonparametric bayesian
(1)
policy optimization
(1)
dimensionality reduction
(1)
link prediction
(1)
bayesian inference
(1)
convex optimization
(1)
matrix factorization
(1)
policy gradient
(1)
multimodal learning
(1)
reinforcement learning
(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
NeurIPS 2024
Deep Reinforcement Learning for Cost-Effective Medical Diagnosis
ICLR 2023
March in Chat: Interactive Prompting for Remote Embodied Referring Expression
ICCV 2023
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability
ICML 2023
VLN-PETL: Parameter-Efficient Transfer Learning for Vision-and-Language Navigation
ICCV 2023
Fast Graph Neural Tangent Kernel via Kronecker Sketching
AAAI 2022
HOP: History-and-Order Aware Pre-Training for Vision-and-Language Navigation
CVPR 2022
Fast Sketching of Polynomial Kernels of Polynomial Degree
ICML 2021
Oblivious Sketching-based Central Path Method for Linear Programming
ICML 2021
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method
NeurIPS 2021
Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel
AAAI 2020
Generalized Leverage Score Sampling for Neural Networks
NeurIPS 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