Lixing Yu
10 papers · 2018–2026 · 5 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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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (38) π Interdisciplinary Bridge Β· Silver
π±
Topic Pioneer
π§
Keyword Pioneer
π
Trend Setter
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(62)
Top co-authors
Research topics
Artificial Intelligence
(6)
Machine Learning
(6)
Deep Learning
(5)
Core AI
(5)
Learning Types Β· Machine Learning
(4)
Data Science & Analytics
(3)
Architectures
(3)
Methods
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Core Methods
(2)
Learning Paradigms
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Keywords
federated learning
(2)
data privacy
(2)
large language model
(2)
mutual information
(2)
neural network
(2)
self-supervised learning
(1)
time series anomaly detection
(1)
variational inference
(1)
machine unlearning
(1)
privacy preservation
(1)
loss landscape
(1)
low-rank approximation
(1)
time series
(1)
message passing
(1)
information bottleneck
(1)
conditional mutual information
(1)
conditional independence
(1)
gradient aggregation
(1)
branch-and-bound algorithm
(1)
time series forecasting
(1)
Papers
Dissecting Failure Dynamics in Large Language Model Reasoning
ACL 2026
GDFA: Geometry-Driven Federated Unlearning with Directional Task Vector Alignment
CVPR 2026
LENS: Latent Precision Inference in Multi-LLM Routing
UAI 2026
Conditional Information Bottleneck-Based Multivariate Time Series Forecasting
IJCAI 2025
Improving Graph Contrastive Learning with Community Structure
UAI 2025
Probabilistic Semantics Guided Discovery of Approximate Functional Dependencies
UAI 2025
FedLTF: Linear Probing Teaches Fine-tuning to Mitigate Noisy Labels in Federated Learning
ACML 2024
Learning to Learn Gradient Aggregation by Gradient Descent
IJCAI 2019
Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach
ACML 2018
SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud
ACML 2018