Zhiqiang Li
8 papers · 2018–2026 · 6 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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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(17)
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(4)
Deep Learning
(4)
Application Areas
(3)
Architectures
(3)
Core Methods
(2)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Learning Types · Machine Learning
(2)
Computer Science
(1)
Computer Vision
(1)
Data Science & Analytics
(1)
Applications · Data Science & Analytics
(1)
Applications · Computer Science
(1)
Bayesian & Probabilistic
(1)
Keywords
graph contrastive learning
(2)
image restoration
(1)
generative model
(1)
computational photography
(1)
uncertainty quantification
(1)
collaborative filtering
(1)
graph representation learning
(1)
data augmentation
(1)
privacy preservation
(1)
image denoising
(1)
closed-form solution
(1)
secure aggregation
(1)
program analysis
(1)
adaptive learning rate
(1)
matrix factorization
(1)
byzantine robustness
(1)
node classification
(1)
parameter aggregation
(1)
retrieval-augmented generation
(1)
manifold learning
(1)
Papers
Lifting Optimized Binaries to Canonical Compiler IR via Structure-Aware Retrieval and Iterative Verification
ACL 2026
EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning
AAAI 2025
ML$^2$-GCL: Manifold Learning Inspired Lightweight Graph Contrastive Learning
ICML 2025
Optimizing Personalized Federated Learning Through Adaptive Layer-Wise Learning
IJCAI 2025
Uncertainty-guided Graph Contrastive Learning from a Unified Perspective
IJCAI 2025
Lookup Table meets Local Laplacian Filter: Pyramid Reconstruction Network for Tone Mapping
NeurIPS 2023
Towards General Low-Light Raw Noise Synthesis and Modeling
ICCV 2023
CoupledCF: Learning Explicit and Implicit User-item Couplings in Recommendation for Deep Collaborative Filtering
IJCAI 2018