Weihua Hu
13 papers · 2016–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (9) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🐣 Hot Topic Early Bird
🏃
Academic Marathon
(9)
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(13)
👥
Mega-Team
(23)
🔥
Unstoppable
(6)
💎
Century Club
(13)
❓
The Questioner
Conferences
NIPS (6)
ICML (4)
ICLR (2)
ACL (1)
Top co-authors
Keywords
link prediction
(3)
benchmark dataset
(2)
graph neural network
(2)
distribution shift
(2)
node classification
(2)
weakly supervised learning
(1)
graph representation learning
(1)
domain generalization
(1)
label noise
(1)
predictive modeling
(1)
graph embedding
(1)
time series forecasting
(1)
multi-class classification
(1)
feature extraction
(1)
knowledge graph
(1)
out-of-distribution generalization
(1)
risk estimation
(1)
deep neural network
(1)
information maximization
(1)
data augmentation
(1)
Papers
ContextGNN: Beyond Two-Tower Recommendation Systems
ICLR 2025
RelBench: A Benchmark for Deep Learning on Relational Databases
NIPS 2024
From Similarity to Superiority: Channel Clustering for Time Series Forecasting
NIPS 2024
Position: Relational Deep Learning - Graph Representation Learning on Relational Databases
ICML 2024
Temporal Graph Benchmark for Machine Learning on Temporal Graphs
NIPS 2023
Extending the WILDS Benchmark for Unsupervised Adaptation
ICLR 2022
WILDS: A Benchmark of in-the-Wild Distribution Shifts
ICML 2021
Open Graph Benchmark: Datasets for Machine Learning on Graphs
NIPS 2020
Co-teaching: Robust training of deep neural networks with extremely noisy labels
NIPS 2018
Does Distributionally Robust Supervised Learning Give Robust Classifiers?
ICML 2018
Learning from Complementary Labels
NIPS 2017
Learning Discrete Representations via Information Maximizing Self-Augmented Training
ICML 2017
A Latent Concept Topic Model for Robust Topic Inference Using Word Embeddings
ACL 2016