Zongyi Li
17 papers · 2020–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (5) π Conference Polyglot (8) π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (29)
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Interdisciplinary Bridge
π
Academic Marathon
(5)
πΊοΈ
Taxonomy Completionist
(29)
π
Trend Setter
π₯
Unstoppable
(6)
π
Century Club
(16)
ποΈ
Keyword Collector
(67)
Conferences
NIPS (4)
AAAI (3)
ICLR (3)
JMLR (3)
ACML (1)
AISTATS (1)
EMNLP (1)
IJCAI (1)
Top co-authors
Keywords
partial differential equation
(4)
fourier neural operator
(3)
person re-identification
(2)
geometric learning
(2)
graph neural network
(2)
unsupervised learning
(2)
image-text alignment
(2)
neural operator
(2)
uncertainty modeling
(1)
manifold learning
(1)
contrastive learning
(1)
unsupervised domain adaptation
(1)
pseudo labeling
(1)
cross-modal retrieval
(1)
robust statistics
(1)
knowledge distillation
(1)
few-shot learning
(1)
outlier detection
(1)
message passing
(1)
function space
(1)
Papers
Dual-stream Relation-modeling Disentanglement for Cloth-Changing Person Re-Identification
AAAI 2026
Geometric Operator Learning with Optimal Transport
JMLR 2025
ARLON: Boosting Diffusion Transformers with Autoregressive Models for Long Video Generation
ICLR 2025
Exploring the Potential of Large Vision-Language Models for Unsupervised Text-Based Person Retrieval
AAAI 2025
Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs
NIPS 2024
Cross-modal Generation and Alignment via Attribute-guided Prompt for Unsupervised Text-based Person Retrieval
IJCAI 2024
FusionU-Net: U-Net with Enhanced Skip Connection for Pathology Image Segmentation
ACML 2023
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries
JMLR 2023
Geometry-Informed Neural Operator for Large-Scale 3D PDEs
NIPS 2023
Neural Operator: Learning Maps Between Function Spaces With Applications to PDEs
JMLR 2023
Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators
ICLR 2022
Learning Chaotic Dynamics in Dissipative Systems
NIPS 2022
Reliability Exploration with Self-Ensemble Learning for Domain Adaptive Person Re-identification
AAAI 2022
Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution
EMNLP 2021
Fourier Neural Operator for Parametric Partial Differential Equations
ICLR 2021
Multipole Graph Neural Operator for Parametric Partial Differential Equations
NIPS 2020
Conditional Linear Regression
AISTATS 2020