Liheng Ma
8 papers · 2020–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(18)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
graph neural network
(3)
graph transformer
(2)
collaborative filtering
(1)
graph structure
(1)
patch-based learning
(1)
message passing
(1)
time series forecasting
(1)
sequential recommendation
(1)
spectral decomposition
(1)
adversarial attack
(1)
hidden state
(1)
inductive bia
(1)
two-sample test
(1)
node classification
(1)
attention mechanism
(1)
positional encoding
(1)
probabilistic forecasting
(1)
spatiotemporal forecasting
(1)
linear rnn
(1)
bayesian inference
(1)
Papers
SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting
ICML 2025
CKGConv: General Graph Convolution with Continuous Kernels
ICML 2024
Multi-resolution Time-Series Transformer for Long-term Forecasting
AISTATS 2024
Graph Inductive Biases in Transformers without Message Passing
ICML 2023
Detection and Defense of Topological Adversarial Attacks on Graphs
AISTATS 2021
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball
AAAI 2021
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting
ICML 2021
Memory Augmented Graph Neural Networks for Sequential Recommendation
AAAI 2020