Wenye Li
18 papers · 2006–2025 · 12 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+11 more ↓ Show less ↑
🏃 Academic Marathon (19) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (12) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(12)
🏃
Academic Marathon
(19)
🏆
Grand Slam
🏆
Keyword Champion
🗃️
Keyword Collector
(77)
🚀
Conference Pioneer
💎
Century Club
(18)
🔥
Unstoppable
(6)
📈
Trend Setter
⚡
Prolific Year
(5)
Conferences
NIPS (4)
ACML (3)
ICLR (2)
AAAI (1)
AACL (1)
ACL (1)
ICML (1)
IJCAI (1)
IJCNLP (1)
JMLR (1)
UAI (1)
WACV (1)
Top co-authors
Keywords
dialogue state tracking
(3)
contrastive learning
(3)
attention mechanism
(2)
client heterogeneity
(2)
self-supervised learning
(2)
few-shot learning
(2)
positive semi-definite
(2)
similarity matrix
(2)
kernel methods
(2)
pseudo labeling
(2)
incomplete datum
(2)
optimal transport
(1)
natural language processing
(1)
spectral clustering
(1)
similarity search
(1)
matrix factorization
(1)
feature learning
(1)
constrained optimization
(1)
convex optimization
(1)
convergence analysis
(1)
Papers
$\phi$-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
NIPS 2023
Metric Nearness Made Practical
AAAI 2023
MoNET: Tackle State Momentum via Noise-Enhanced Training for Dialogue State Tracking
ACL 2023
S-NeRF: Neural Radiance Fields for Street Views
ICLR 2023
Online estimation of similarity matrices with incomplete data
UAI 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
CSS: Combining Self-training and Self-supervised Learning for Few-shot Dialogue State Tracking
IJCNLP 2022
PFedAtt: Attention-based Personalized Federated Learning on Heterogeneous Clients
ACML 2021
Scalable Calibration of Affinity Matrices from Incomplete Observations
ACML 2020
Learning Word Vectors with Linear Constraints: A Matrix Factorization Approach
IJCAI 2018
Fast Similarity Search via Optimal Sparse Lifting
NIPS 2018
Estimating Jaccard Index with Missing Observations: A Matrix Calibration Approach
NIPS 2015
Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space
NIPS 2006