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Yangjun Wu

NNQS-Transformer: an Efficient and Scalable Neural Network Quantum States Approach for Ab initio Quantum Chemistry
2023 · Yangjun Wu, Chu Guo, et al. · 2012 International Conference for High Performance Computing, Networking, Storage and Analysis · 34
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Extreme-scale ab initio quantum raman spectra simulations on the leadership HPC system in China
2021 · Honghui Shang, Fang Li, et al. · 2012 International Conference for High Performance Computing, Networking, Storage and Analysis · 20
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Transformer-Based Neural-Network Quantum State Method for Electronic Band Structures of Real Solids
2024 · Lizhong Fu, Yangjun Wu, et al. · Journal of Chemical Theory and Computation · 18
Solving the many-electron Schrödinger equation with a transformer-based framework
2025 · Honghui Shang, Chu Guo, et al. · Nature Communications · 15
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Accurate Calculation of Interatomic Forces with Neural Networks Based on a Generative Transformer Architecture
2024 · Juntao Lai, Bowen Kan, et al. · Journal of Chemical Theory and Computation · 12
Solving Schrödinger Equation with a Language Model
2023 · Shang, Honghui, Guo, Chu, et al. · arXiv (Cornell University) · 7
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Solving the Electronic Schrödinger Equation by Pairing Tensor-Network State with Neural Network Quantum State
2024 · Bowen Kan, Yingqi Tian, et al. · Mathematics · 5
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Fast and Scalable Neural Network Quantum States Method for Molecular Potential Energy Surfaces
2025 · Yangjun Wu, Wanlu Cao, et al. · IEEE Transactions on Parallel and Distributed Systems · 4
Portable and Scalable All-Electron Quantum Perturbation Simulations on Exascale Supercomputers
2023 · Zhikun Wu, Yangjun Wu, et al. · 2012 International Conference for High Performance Computing, Networking, Storage and Analysis · 4
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Accelerating all-electron ab initio simulation of raman spectra for biological systems
2021 · Honghui Shang, Fang Li, et al. · 2012 International Conference for High Performance Computing, Networking, Storage and Analysis · 4
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OpenCL-accelerated first-principles calculations of all-electron quantum perturbations on HPC resources
2023 · Zhikun Wu, Honghui Shang, et al. · Frontiers in Chemistry · 3
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MPS-VMC: A high-performance matrix product state variational Monte Carlo Solver for ab initio quantum chemistry
2026 · Zhiqian Xu, Yangjun Wu, et al. · Computer Physics Communications · 1
Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning
2025 · Seed, ByteDance, :, et al. · arXiv (Cornell University) · 1
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Scaling Poisson Solvers on Many Cores via MMEwald
2021 · Mingchuan Wu, Yangjun Wu, et al. · IEEE Transactions on Parallel and Distributed Systems · 1
Transferable neural network quantum state method for quantum chemistry
2026 · Yangjun Wu, Jiexuan Zhou, et al. · Computer Physics Communications
NNQS-Transformer: an Efficient and Scalable Neural Network Quantum States Approach for Ab initio Quantum Chemistry
2023 · Wu, Yangjun, Guo, Chu, et al. · arXiv (Cornell University)
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Corrigendum: OpenCL-accelerated first-principles calculations of all-electron quantum perturbations on HPC resources
2023 · Zhikun Wu, Honghui Shang, et al. · Frontiers in Chemistry
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The DFELL/TUNL High-Intensity Gamma-ray Source as a Nuclear Physics Facility
1999 · Eric C. Schreiber, R. S. Canon, et al. · APS
Works count: 19
Citation count: 130
H-index: 6
I10-index: 5
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