Junbin Gao
26 papers · 2014–2026 · 10 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 9 separate collaboration groups - the largest holds only 38% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Junbin Gao?
3 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 Andi Han, Zhiyong Wang, Yi Guo
10 papers
· 2014–2025
· ICLR, CVPR, ACL
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Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning
ICLR 2025
When Graph Neural Networks Meet Dynamic Mode Decomposition
ICLR 2025
Efficient and Interpretable Compressive Text Summarisation with Unsupervised Dual-Agent Reinforcement Learning
ACL 2023
Riemannian Accelerated Gradient Methods via Extrapolation
AISTATS 2023
OTExtSum: Extractive Text Summarisation with Optimal Transport
NAACL 2022
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry
NeurIPS 2021
Riemannian Stochastic Recursive Momentum Method for non-Convex Optimization
IJCAI 2021
Shared Generative Latent Representation Learning for Multi-View Clustering
AAAI 2020
Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds
CVPR 2016
Subspace Clustering for Sequential Data
CVPR 2014
6 papers whose co-authors appear nowhere else under this name
Language-Driven Multi-Label Zero-Shot Learning with Semantic Granularity
ICCV 2025
Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance
ICML 2024
How Framelets Enhance Graph Neural Networks
ICML 2021
Hype-HAN: Hyperbolic Hierarchical Attention Network for Semantic Embedding
IJCAI 2020
Grassmannian Manifold Optimization Assisted Sparse Spectral Clustering
CVPR 2017
Low-Rank-Sparse Subspace Representation for Robust Regression
CVPR 2017