Nianzu Yang
8 papers · 2021–2025 · 3 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 · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(23)
🐣
Hot Topic Early Bird
🌈
Renaissance Researcher
(7)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Learning Types
(5)
Core Methods
(4)
Artificial Intelligence
(2)
Computer Science
(2)
Deep Learning
(2)
Interdisciplinary
(2)
Application Areas
(2)
Optimization & Theory
(2)
Science
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Robotics
(1)
Applications
(1)
Keywords
langevin dynamics
(1)
reinforcement learning
(1)
semi-supervised learning
(1)
few-shot learning
(1)
domain generalization
(1)
transfer learning
(1)
domain adaptation
(1)
unsupervised pretraining
(1)
supervised learning
(1)
geometric deep learning
(1)
out-of-distribution generalization
(1)
distribution shift
(1)
contrastive divergence
(1)
continuous time
(1)
travelling salesman problem
(1)
energy-based model
(1)
sequential recommendation
(1)
molecular representation
(1)
molecular property prediction
(1)
combinatorial optimization
(1)
Papers
DSBRouter: End-to-end Global Routing via Diffusion Schrödinger Bridge
ICML 2025
Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design Space of Learning and Search
ICLR 2025
EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model
ICLR 2024
MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation
ICML 2024
SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification
ICML 2024
Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark
ICLR 2024
Learning Substructure Invariance for Out-of-Distribution Molecular Representations
NeurIPS 2022
Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation
ICML 2021