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Wei Hu

98 papers · 2008–2026 · 17 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 22 separate collaboration groups - the largest holds only 27% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Wei Hu?

14 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 Zhiyuan Li, Sanjeev Arora, Simon Shaolei Du 18 papers · 2017–2025 · NeurIPS, ICLR, ICML Hide ▲
HyperGCT: A Dynamic Hyper-GNN-Learned Geometric Constraint for 3D Registration ICCV 2025 Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking ICLR 2024 Few-Shot Learning via Learning the Representation, Provably ICLR 2021 Impact of Representation Learning in Linear Bandits ICLR 2021 Near-Optimal Linear Regression under Distribution Shift ICML 2021 When is particle filtering efficient for planning in partially observed linear dynamical systems? UAI 2021 Simple and Effective Regularization Methods for Training on Noisily Labeled Data with Generalization Guarantee ICLR 2020 A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks ICLR 2019 Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets NeurIPS 2019 Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks ICML 2019 Implicit Regularization in Deep Matrix Factorization NeurIPS 2019 Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave Saddle Point Problems without Strong Convexity AISTATS 2019 On Exact Computation with an Infinitely Wide Neural Net NeurIPS 2019 Width Provably Matters in Optimization for Deep Linear Neural Networks ICML 2019 Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced NeurIPS 2018 An Analysis of the t-SNE Algorithm for Data Visualization COLT 2018 Online Improper Learning with an Approximation Oracle NeurIPS 2018 Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls NeurIPS 2017
8 papers whose co-authors appear nowhere else under this name
Skill-Aware Data Selection and Fine-Tuning for Data-Efficient Reasoning Distillation ACL 2026 DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning AAAI 2024 How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations ICLR 2024 Understanding Surprising Generalization Phenomena in Deep Learning AAAI 2024 A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning ICML 2021 Global-to-Local Neural Networks for Document-Level Relation Extraction EMNLP 2020 Combinatorial Multi-Armed Bandit with General Reward Functions NeurIPS 2016 Modeling Chinese Documents with Topical Word-Character Models COLING 2008

Venues · all papers under this name

AAAI (12) NeurIPS (12) ICLR (12) ACL (11) ICML (10) EMNLP (9) CVPR (8) ICCV (5) ECCV (5) IJCAI (3) COLING (2) Interspeech (2) NAACL (2) AISTATS (2) COLT (1) JMLR (1) UAI (1)