zengfeng Huang
29 papers · 2018–2026 · 8 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 12 separate collaboration groups - the largest holds only 28% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which zengfeng Huang?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Zhewei Wei, David Wipf, Yongyi Yang
8 papers
· 2020–2025
· ICLR, NeurIPS, ICML
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Implicit vs Unfolded Graph Neural Networks
JMLR 2025
MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy
ICLR 2025
TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics
ICLR 2025
Transformers from an Optimization Perspective
NeurIPS 2022
Why Propagate Alone? Parallel Use of Labels and Features on Graphs
ICLR 2022
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
NeurIPS 2021
Graph Neural Networks Inspired by Classical Iterative Algorithms
ICML 2021
Simple and Deep Graph Convolutional Networks
ICML 2020
7 papers whose co-authors appear nowhere else under this name
Lipschitz Bandits with Batched Feedback
NeurIPS 2022
Optimal Clustering with Noisy Queries via Multi-Armed Bandit
ICML 2022
Communication-Efficient Distributed Covariance Sketch, with Application to Distributed PCA
JMLR 2021
Understanding Bandits with Graph Feedback
NeurIPS 2021
Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices
JMLR 2019
Optimal Sparsity-Sensitive Bounds for Distributed Mean Estimation
NeurIPS 2019
Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices
ICML 2018