Wenye Li
17 papers · 2006–2025 · 11 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 (41) π Conference Polyglot Β· Gold π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π±
Topic Pioneer
π
Grand Slam
π
Keyword Champion
π§
Keyword Pioneer
π
Renaissance Researcher
(7)
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
ποΈ
Keyword Collector
(100)
Venues
Top co-authors
Research topics
Machine Learning
(13)
Mathematics & Optimization
(8)
Optimization
(8)
Optimization & Theory
(8)
Core Methods
(7)
Deep Learning
(4)
Learning Types
(4)
Artificial Intelligence
(3)
Computer Vision
(2)
Natural Language Processing
(2)
Reinforcement Learning
(2)
Core AI
(2)
Domain-Specific
(2)
Generation
(2)
Learning Paradigms
(2)
Keywords
convergence analysis
(2)
similarity matrix
(2)
incomplete data
(2)
matrix calibration
(2)
attention mechanism
(2)
contrastive learning
(2)
dialogue state tracking
(2)
client heterogeneity
(2)
personalized federated learning
(2)
kernel methods
(2)
positive semidefinite
(2)
video generation
(1)
few-shot learning
(1)
optimal transport
(1)
natural language processing
(1)
similarity search
(1)
feature learning
(1)
3d reconstruction
(1)
matrix factorization
(1)
convex optimization
(1)
Papers
Ο-Update: A Class of Policy Update Methods with Policy Convergence Guarantee
ICLR 2025
On the Convergence of Projected Policy Gradient for Any Constant Step Sizes
JMLR 2025
UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance
ICML 2025
DocReal: Robust Document Dewarping of Real-Life Images via Attention-Enhanced Control Point Prediction
WACV 2024
Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning
NeurIPS 2023
Metric Nearness Made Practical
AAAI 2023
MoNET: Tackle State Momentum via Noise-Enhanced Training for Dialogue State Tracking
ACL 2023
Online estimation of similarity matrices with incomplete data
UAI 2023
S-NeRF: Neural Radiance Fields for Street Views
ICLR 2023
Asynchronous Personalized Federated Learning with
Irregular Clients
ACML 2022
CSS: Combining Self-training and Self-supervised Learning for Few-shot Dialogue State Tracking
AACL 2022
PFedAtt: Attention-based Personalized Federated Learning on Heterogeneous Clients
ACML 2021
Scalable Calibration of Affinity Matrices from Incomplete Observations
ACML 2020
Fast Similarity Search via Optimal Sparse Lifting
NeurIPS 2018
Learning Word Vectors with Linear Constraints: A Matrix Factorization Approach
IJCAI 2018
Estimating Jaccard Index with Missing Observations: A Matrix Calibration Approach
NeurIPS 2015
Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space
NeurIPS 2006