Liping Liu
20 papers · 2012–2026 · 8 conferences · across top CS/AI conferences
Achievements
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Cross-Pollinator
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(31)
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(7)
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Century Club
(19)
Conferences
ICML (6)
NIPS (5)
ICLR (3)
AISTATS (2)
ACML (1)
EACL (1)
MICCAI (1)
NAACL (1)
Top co-authors
Keywords
variational inference
(3)
amortized inference
(3)
graph generation
(2)
probabilistic modeling
(2)
superset label learning
(2)
weakly supervised learning
(2)
graph neural network
(2)
gaussian process
(2)
stochastic optimization
(2)
large language model
(2)
statistical analysis
(1)
prompt engineering
(1)
sample complexity
(1)
representation learning
(1)
self-supervised learning
(1)
uncertainty quantification
(1)
empirical risk minimization
(1)
iterative refinement
(1)
graph matching
(1)
markov chain monte carlo
(1)
Papers
How to Contextualize Empirical Data for Risk Analysis with LLMs: A Case Study of Power Outages
EACL 2026
MADGEN: Mass-Spec attends to De Novo Molecular generation
ICLR 2025
Graph Generative Pre-trained Transformer
ICML 2025
UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound
MICCAI 2025
Instruct-of-Reflection: Enhancing Large Language Models Iterative Reflection Capabilities via Dynamic-Meta Instruction
NAACL 2025
MassSpecGym: A benchmark for the discovery and identification of molecules
NIPS 2024
Graph Pruning for Enumeration of Minimal Unsatisfiable Subsets
AISTATS 2024
Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
ICML 2023
Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model
NIPS 2023
On Separate Normalization in Self-supervised Transformers
NIPS 2023
Predicting Physics in Mesh-reduced Space with Temporal Attention
ICLR 2022
Stochastic Iterative Graph Matching
ICML 2021
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation
ICML 2021
Localizing and Amortizing: Efficient Inference for Gaussian Processes
ACML 2020
DELTA: DEEP LEARNING TRANSFER USING FEATURE MAP WITH ATTENTION FOR CONVOLUTIONAL NETWORKS
ICLR 2019
Amortized Variational Inference with Graph Convolutional Networks for Gaussian Processes
AISTATS 2019
Context Selection for Embedding Models
NIPS 2017
Learnability of the Superset Label Learning Problem
ICML 2014
Gaussian Approximation of Collective Graphical Models
ICML 2014
A Conditional Multinomial Mixture Model for Superset Label Learning
NIPS 2012