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Haotian Ju

3 papers · 2022–2023 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (11)

Venues

AISTATS (1) ICML (1) NeurIPS (1)

Top co-authors

Dongyue Li (3) Hongyang R. Zhang (1) Hongyang Zhang (1) Aneesh Sharma (1) Abhinav Nippani (1) Haris Koutsopoulos (1) Hongyang R Zhang (1)

Research topics

Deep Learning (3) Machine Learning (3) Architectures (2) Learning Types · Deep Learning (2) Optimization & Theory · Machine Learning (2) Artificial Intelligence (1) Core Methods (1) Learning Paradigms (1) Learning Types · Machine Learning (1) Optimization & Theory · Deep Learning (1) Techniques (1)

Keywords

graph neural network (2) generalization bound (2) transfer learning (2) generalization guarantee (1) noisy label (1) pac-bayesian theory (1) hessian analysis (1) graph-level classification (1) pretrained neural network (1) hessian distance (1) road safety (1) traffic accident prediction (1) hessian-based stability (1) multi-task learning (1) road safety modeling (1) pac-bayesian analysis (1) graph diffusion (1)

Papers

Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion AISTATS 2023 Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis NeurIPS 2023 Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees ICML 2022