Tailin Wu
19 papers · 2019–2025 · 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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πΊοΈ Taxonomy Completionist (42) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Grand Slam
π
Conference Pioneer
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(5)
ποΈ
Keyword Collector
(96)
Venues
Top co-authors
Research topics
Machine Learning
(16)
Deep Learning
(14)
Optimization & Theory
(9)
Core Methods
(8)
Models
(8)
Artificial Intelligence
(5)
Architectures
(5)
Core AI
(5)
Learning Types Β· Machine Learning
(5)
Computer Vision
(3)
Application Areas
(3)
Learning Types Β· Deep Learning
(2)
Processing
(2)
Interdisciplinary
(1)
Mathematics & Optimization
(1)
Keywords
diffusion model
(6)
graph neural network
(4)
representation learning
(3)
partial differential equation
(3)
information bottleneck
(3)
protein structure
(2)
phase transition
(2)
generative model
(2)
surrogate model
(2)
physical system
(2)
conformal prediction
(1)
flow matching
(1)
optimal control
(1)
hypothesis testing
(1)
wavelet transform
(1)
adversarial robustness
(1)
reinforcement learning
(1)
model robustness
(1)
graph modularity
(1)
uncertainty quantification
(1)
Papers
CL-DiffPhyCon: Closed-loop Diffusion Control of Complex Physical Systems
ICLR 2025
EVA: Geometric Inverse Design for Fast Protein Motif-Scaffolding with Coupled Flow
ICLR 2025
From Uncertain to Safe: Conformal Adaptation of Diffusion Models for Safe PDE Control
ICML 2025
M2PDE: Compositional Generative Multiphysics and Multi-component PDE Simulation
ICML 2025
On the Guidance of Flow Matching
ICML 2025
Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model
ICLR 2025
Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization
AAAI 2025
Wavelet Diffusion Neural Operator
ICLR 2025
BENO: Boundary-embedded Neural Operators for Elliptic PDEs
ICLR 2024
Compositional Generative Inverse Design
ICLR 2024
DiffPhyCon: A Generative Approach to Control Complex Physical Systems
NeurIPS 2024
Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution
AAAI 2024
Learning Controllable Adaptive Simulation for Multi-resolution Physics
ICLR 2023
Learning to Accelerate Partial Differential Equations via Latent Global Evolution
NeurIPS 2022
ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time
NeurIPS 2022
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity
NeurIPS 2020
Graph Information Bottleneck
NeurIPS 2020
Phase Transitions for the Information Bottleneck in Representation Learning
ICLR 2020
Learnability for the Information Bottleneck
UAI 2019