Zhong Jin
5 papers · 2020–2026 · 4 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
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Gold
🗺️
Taxonomy Completionist
(21)
Venues
Top co-authors
Research topics
Machine Learning
(5)
Computer Vision
(2)
Deep Learning
(2)
Mathematics & Optimization
(2)
Application Areas
(2)
Core Methods
(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Analysis
(1)
Architectures
(1)
Foundations
(1)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Keywords
tensor decomposition
(2)
robust optimization
(1)
empirical risk minimization
(1)
low-rank approximation
(1)
label noise
(1)
multi-output regression
(1)
singular value decomposition
(1)
low-rank recovery
(1)
spectral analysis
(1)
low-rank estimation
(1)
low-rank tensor recovery
(1)
generalization bound
(1)
combinatorial distribution shift
(1)
error bound
(1)
robust generalization
(1)
tensor regression
(1)
facial expression recognition
(1)
adversarial generalization
(1)
dual-branch network
(1)
feature discriminability
(1)
Papers
D^3FER: Dual Channel and Dual Branch Network for Robust Facial Expression Recognition under Dual Challenges
CVPR 2026
Low-Rank Tensor Transitions (LoRT) for Transferable Tensor Regression
ICML 2025
Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts
NeurIPS 2024
Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks
NeurIPS 2023
Robust Tensor Decomposition via Orientation Invariant Tubal Nuclear Norms
AAAI 2020