Xiaotian Gao

4 papers · 2021–2023 · 4 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 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) 📈 Trend Setter

Venues

AAAI (1) AISTATS (1) ICLR (1) ICML (1)

Top co-authors

Tie-yan Liu (2) Jia Zhang (2) Wenlei Shi (2) Liwei Wang (1) Lintao Zhang (1) Cong Guo (1) Yunxin Liu (1) Qi Meng (1) Wei Cui (1) Di He (1)

Research topics

Machine Learning (4) Optimization & Theory · Machine Learning (4) Deep Learning (3) Application Areas (3) Techniques (2) Mathematics & Optimization (1) Architectures (1) Learning Paradigms (1) Optimization (1) Optimization & Theory · Deep Learning (1)

Keywords

partial differential equation (2) neural network optimization (2) constrained optimization (1) optimal control (1) variance reduction (1) hessian approximation (1) physics-informed neural network (1) neural solver (1) neural network solver (1) fluid dynamics (1) evolutionary algorithm (1) hardware acceleration (1) search space exploration (1) gaussian smoothing (1) hardware optimization (1) partial differential equation solver (1) physics-constrained learning (1) spatial-temporal decomposition (1) data-free quantization (1) tensor operator (1)

Papers

Learning Physics-Informed Neural Networks without Stacked Back-propagation AISTATS 2023 NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition ICML 2023 SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation ICLR 2022 OpEvo: An Evolutionary Method for Tensor Operator Optimization AAAI 2021