Liping Liu
20 papers · 2012–2026 · 8 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 (37) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π§
Keyword Pioneer
π₯
Mega-Team Β· Squad
ποΈ
Keyword Collector
(100)
π
Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(15)
Deep Learning
(9)
Artificial Intelligence
(8)
Optimization & Theory
(8)
Architectures
(6)
Learning Types Β· Machine Learning
(6)
Bayesian & Probabilistic Β· Machine Learning
(5)
Core AI
(5)
Models
(5)
Core Methods
(4)
Mathematics & Optimization
(2)
Application Areas
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Learning Paradigms
(2)
Learning Types Β· Deep Learning
(2)
Keywords
amortized inference
(3)
variational inference
(3)
graph neural network
(3)
weakly supervised learning
(2)
probabilistic modeling
(2)
attention mechanism
(2)
graph generation
(2)
mass spectrometry
(2)
stochastic optimization
(2)
superset label learning
(2)
large language model
(2)
gaussian process
(2)
self-supervised learning
(1)
uncertainty quantification
(1)
representation learning
(1)
graph matching
(1)
graph structure
(1)
multinomial classification
(1)
statistical inference
(1)
weak supervision
(1)
Papers
How to Contextualize Empirical Data for Risk Analysis with LLMs: A Case Study of Power Outages
EACL 2026
Graph Generative Pre-trained Transformer
ICML 2025
Instruct-of-Reflection: Enhancing Large Language Models Iterative Reflection Capabilities via Dynamic-Meta Instruction
NAACL 2025
MADGEN: Mass-Spec attends to De Novo Molecular generation
ICLR 2025
UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound
MICCAI 2025
Graph Pruning for Enumeration of Minimal Unsatisfiable Subsets
AISTATS 2024
MassSpecGym: A benchmark for the discovery and identification of molecules
NeurIPS 2024
Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
ICML 2023
On Separate Normalization in Self-supervised Transformers
NeurIPS 2023
Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model
NeurIPS 2023
Predicting Physics in Mesh-reduced Space with Temporal Attention
ICLR 2022
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation
ICML 2021
Stochastic Iterative Graph Matching
ICML 2021
Localizing and Amortizing: Efficient Inference for Gaussian Processes
ACML 2020
Amortized Variational Inference with Graph Convolutional Networks for Gaussian Processes
AISTATS 2019
DELTA: DEEP LEARNING TRANSFER USING FEATURE MAP WITH ATTENTION FOR CONVOLUTIONAL NETWORKS
ICLR 2019
Context Selection for Embedding Models
NeurIPS 2017
Gaussian Approximation of Collective Graphical Models
ICML 2014
Learnability of the Superset Label Learning Problem
ICML 2014
A Conditional Multinomial Mixture Model for Superset Label Learning
NeurIPS 2012