Weile Jia - RankMe

52 papers A* 4A 13B 4C 1Journal 28Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MatRIS: Toward Reliable and Efficient Pretrained Machine Learning Interatomic Potentials. CoRR Yuanchang Zhou, Siyu Hu, Xiangyu Zhang, Hongyu Wang, Guangming Tan, Weile Jia
2025	J	`jnl`	29-Billion Atoms Molecular Dynamics Simulation With Ab Initio Accuracy on 35 Million Cores of New Sunway Supercomputer. IEEE Trans. Computers Xun Wang, Xiangyu Meng, Zhuoqiang Guo, Mingzhen Li, Lijun Liu, Mingfan Li, Qian Xiao, Tong Zhao, Ninghui Sun, Guangming Tan, Weile Jia
2025	J	`jnl`	An interpretable DeePMD-kit performance model for emerging supercomputers. CCF Trans. High Perform. Comput. Xiangyu Meng, Xun Wang, Mingzhen Li, Guangming Tan, Weile Jia
2025	A	`conf`	Caracal: A GPU-Resident Sparse LU Solver with Lightweight Fine-Grained Scheduling. SC Jie Ren, Tingxuan Zhong, Yuxi Hong, Guofeng Feng, Xincheng Wang, Weile Jia, Hatem Ltaief, David Elliot Keyes
2025	A	`conf`	Cherry: Breaking the GPU Memory Wall for Large-Scale GNN Training via Micro-Batching. ICS Yan Wang, Qinghua Guo, Haoran Kong, Kai Sheng, Zhen Xie, Hao Chen, Weile Jia, Dingwen Tao, Xin He
2025	A	`conf`	Deep Learning-Enabled Supercritical Flame Simulation at Detailed Chemistry and Real-Fluid Accuracy Towards Trillion-Cell Scale. SC Zhuoqiang Guo, Runze Mao, Lijun Liu, Guangming Tan, Weile Jia, Zhi X. Chen
2025	J	`jnl`	Deep Learning-Enabled Supercritical Flame Simulation at Detailed Chemistry and Real-Fluid Accuracy Towards Trillion-Cell Scale. CoRR Zhuoqiang Guo, Runze Mao, Lijun Liu, Guangming Tan, Weile Jia, Zhi X. Chen
2025	A*	`conf`	ELoRA: Low-Rank Adaptation for Equivariant GNNs. ICML Chen Wang, Siyu Hu, Guangming Tan, Weile Jia
2025	A*	`conf`	Efficient Long Context Fine-tuning with Chunk Flow. ICML Xiulong Yuan, Hongtao Xu, Wenting Shen, Ang Wang, Xiafei Qiu, Jie Zhang, Yuqiong Liu, Bowen Yu, Junyang Lin, Mingzhen Li, Weile Jia, Yong Li, Wei Lin
2025	J	`jnl`	Efficient Long Context Fine-tuning with Chunk Flow. CoRR Xiulong Yuan, Hongtao Xu, Wenting Shen, Ang Wang, Xiafei Qiu, Jie Zhang, Yuqiong Liu, Bowen Yu, Junyang Lin, Mingzhen Li, Weile Jia, Yong Li, Wei Lin
2025	J	`jnl`	Exploring Landscapes for Better Minima along Valleys. CoRR Tong Zhao, Jiacheng Li, Yuanchang Zhou, Guangming Tan, Weile Jia
2025	A	`conf`	FastCHGNet: Training One Universal Interatomic Potential to 1.5 Hours with 32 GPUs. IPDPS Yuanchang Zhou, Siyu Hu, Chen Wang, Lin-Wang Wang, Guangming Tan, Weile Jia
2025	—	`conf`	FastSpMM: Leveraging Tensor Cores for Sparse Matrix Multiplication. CF Hongyu Wang, Mingzhen Li, Weile Jia, Hailong Yang, Guangming Tan
2025	A	`conf`	Large Scale Finite-Temperature Real-Time Time Dependent Density Functional Theory Calculation with Hybrid Functional on ARM and GPU Systems. IPDPS Rongrong Liu, Zhuoqiang Guo, Qiuchen Sha, Tong Zhao, Haibo Li, Wei Hu, Lijun Liu, Guangming Tan, Weile Jia
2025	J	`jnl`	Large Scale Finite-Temperature Real-time Time Dependent Density Functional Theory Calculation with Hybrid Functional on ARM and GPU Systems. CoRR Rongrong Liu, Zhuoqiang Guo, Qiuchen Sha, Tong Zhao, Haibo Li, Wei Hu, Lijun Liu, Guangming Tan, Weile Jia
2025	J	`jnl`	Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku. CoRR Hongtao Xu, Zibo Wu, Mingzhen Li, Weile Jia
2025	A*	`conf`	MD-pipe: A Strong Scaling Enhanced Pipeline Architecture for Ab Initio Accuracy Molecular Dynamics. ISCA Ning Kang, Guojun Yuan, Zihan Yan, Beining Zhang, Boyang Li, Zeyu Li, Shuo Wang, Guanglei Chen, Jiayi Rao, Zhan Wang, Weile Jia, Ninghui Sun, Guangming Tan
2025	B	`conf`	Mario: Near Zero-cost Activation Checkpointing in Pipeline Parallelism. PPoPP Weijian Liu, Mingzhen Li, Guangming Tan, Weile Jia
2025	A	`conf`	Million-Atom Ab Initio Electron Dynamics: Discontinuous Galerkin Real-Time Time-Dependent Density Functional Theory. SC Junwei Feng, Junshi Chen, Xiangyu Zhang, Junhui Liu, Xinming Qin, Lingyun Wan, Sheng Chen, Wentiao Wu, Bingkun Hou, Yexuan Lin, Yihong Zhang, Zechuan Zhang, Yijun Hu, Weile Jia, Hong An, Jinlong Yang, Wei Hu
2025	J	`jnl`	Scaling Neural-Network-Based Molecular Dynamics with Long-Range Electrostatic Interactions to 51 Nanoseconds per Day. CoRR Jianxiong Li, Beining Zhang, Mingzhen Li, Siyu Hu, Jinzhe Zeng, Lijun Liu, Guojun Yuan, Zhan Wang, Guangming Tan, Weile Jia
2025	J	`jnl`	Skrull: Towards Efficient Long Context Fine-tuning through Dynamic Data Scheduling. CoRR Hongtao Xu, Wenting Shen, Yuanxin Wei, Ang Wang, Guo Runfan, Tianxing Wang, Yong Li, Mingzhen Li, Weile Jia
2025	J	`jnl`	WISCA: A Lightweight Model Transition Method to Improve LLM Training via Weight Scaling. CoRR Jiacheng Li, Jianchao Tan, Zhidong Yang, Pingwei Sun, Feiye Huo, Jiayu Qin, Yerui Sun, Yuchen Xie, Xunliang Cai, Xiangyu Zhang, Maoxin He, Guangming Tan, Weile Jia, Tong Zhao
2024	J	`jnl`	10-Million Atoms Simulation of First-Principle Package LS3DF. J. Comput. Sci. Technol. Yujin Yan, Hai-Bo Li, Tong Zhao, Lin-Wang Wang, Lin Shi, Tao Liu, Guangming Tan, Weile Jia, Ninghui Sun
2024	—	`conf`	Accelerating Large-Scale Sparse LU Factorization for RF Circuit Simulation. Euro-Par (3) Guofeng Feng, Hongyu Wang, Zhuoqiang Guo, Mingzhen Li, Tong Zhao, Zhou Jin, Weile Jia, Guangming Tan, Ninghui Sun
2024	J	`jnl`	FastCHGNet: Training one Universal Interatomic Potential to 1.5 Hours with 32 GPUs. CoRR Yuanchang Zhou, Siyu Hu, Chen Wang, Lin-Wang Wang, Guangming Tan, Weile Jia
2024	A	`conf`	Mille-feuille: A Tile-Grained Mixed Precision Single-Kernel Conjugate Gradient Solver on GPUs. SC Dechuang Yang, Yuxuan Zhao, Yiduo Niu, Weile Jia, En Shao, Weifeng Liu, Guangming Tan, Zhou Jin
2024	B	`conf`	POSTER: Optimizing Sparse Tensor Contraction with Revisiting Hash Table Design. PPoPP Guofeng Feng, Weile Jia, Ninghui Sun, Guangming Tan, Jiajia Li
2024	A	`conf`	Scaling Molecular Dynamics with ab initio Accuracy to 149 Nanoseconds per Day. SC Jianxiong Li, Boyang Li, Zhuoqiang Guo, Mingzhen Li, Enji Li, Lijun Liu, Guojun Yuan, Zhan Wang, Guangming Tan, Weile Jia
2024	J	`jnl`	Scaling Molecular Dynamics with ab initio Accuracy to 149 Nanoseconds per Day. CoRR Jianxiong Li, Boyang Li, Zhuoqiang Guo, Mingzhen Li, Enji Li, Lijun Liu, Guojun Yuan, Zhan Wang, Guangming Tan, Weile Jia
2024	B	`conf`	Training one DeePMD Model in Minutes: a Step towards Online Learning. PPoPP Siyu Hu, Tong Zhao, Qiuchen Sha, Enji Li, Xiangyu Meng, Liping Liu, Lin-Wang Wang, Guangming Tan, Weile Jia
2023	A	`conf`	Enhance the Strong Scaling of LAMMPS on Fugaku. SC Jianxiong Li, Tong Zhao, Zhuoqiang Guo, Shunchen Shi, Lijun Liu, Guangming Tan, Weile Jia, Guojun Yuan, Zhan Wang
2023	A*	`conf`	RLEKF: An Optimizer for Deep Potential with Ab Initio Accuracy. AAAI Siyu Hu, Wentao Zhang, Qiuchen Sha, Feng Pan, Lin-Wang Wang, Weile Jia, Guangming Tan, Tong Zhao
2022	A	`conf`	2.5 Million-Atom Ab Initio Electronic-Structure Simulation of Complex Metallic Heterostructures with DGDFT. SC Wei Hu, Hong An, Zhuoqiang Guo, Qingcai Jiang, Xinming Qin, Junshi Chen, Weile Jia, Chao Yang, Zhaolong Luo, Jielan Li, Wentiao Wu, Guangming Tan, Dongning Jia, Qinglin Lu, Fangfang Liu, Min Tian, Fang Li, Yeqi Huang, Liyi Wang, Sha Liu, Jinlong Yang
2022	B	`conf`	Extending the limit of molecular dynamics with PPoPP Zhuoqiang Guo, Denghui Lu, Yujin Yan, Siyu Hu, Rongrong Liu, Guangming Tan, Ninghui Sun, Wanrun Jiang, Lijun Liu, Yixiao Chen, Linfeng Zhang, Mohan Chen, Han Wang, Weile Jia
2022	J	`jnl`	Extending the limit of molecular dynamics with ab initio accuracy to 10 billion atoms. CoRR Zhuoqiang Guo, Denghui Lu, Yujin Yan, Siyu Hu, Rongrong Liu, Guangming Tan, Ninghui Sun, Wanrun Jiang, Lijun Liu, Yixiao Chen, Linfeng Zhang, Mohan Chen, Han Wang, Weile Jia
2021	J	`jnl`	86 PFLOPS Deep Potential Molecular Dynamics simulation of 100 million atoms with Comput. Phys. Commun. Denghui Lu, Han Wang, Mohan Chen, Lin Lin, Roberto Car, Weinan E, Weile Jia, Linfeng Zhang
2021	J	`jnl`	Deep Density: Circumventing the Kohn-Sham equations via symmetry preserving neural networks. J. Comput. Phys. Leonardo Zepeda-Núñez, Yixiao Chen, Jiefu Zhang, Weile Jia, Linfeng Zhang, Lin Lin
2021	J	`jnl`	Editorial for the special issue on large-scale AI in classical HPC environment and AI for science. CCF Trans. High Perform. Comput. Wei Xue, Haohuan Fu, Weile Jia, Guangming Tan
2020	J	`jnl`	86 PFLOPS Deep Potential Molecular Dynamics simulation of 100 million atoms with ab initio accuracy. CoRR Denghui Lu, Han Wang, Mohan Chen, Jiduan Liu, Lin Lin, Roberto Car, Weinan E, Weile Jia, Linfeng Zhang
2020	J	`jnl`	ELSI - An open infrastructure for electronic structure solvers. Comput. Phys. Commun. Victor Wen-zhe Yu, Carmen Campos, William Dawson, Alberto García, Ville Havu, Ben Hourahine, William P. Huhn, Mathias Jacquelin, Weile Jia, Murat Keçeli, Raul Laasner, Yingzhou Li, Lin Lin, Jianfeng Lu, Jonathan Moussa, José E. Román, Álvaro Vázquez-Mayagoitia, Chao Yang, Volker Blum
2020	A	`conf`	Pushing the limit of molecular dynamics with SC Weile Jia, Han Wang, Mohan Chen, Denghui Lu, Lin Lin, Roberto Car, Weinan E, Linfeng Zhang
2019	J	`jnl`	Deep Density: circumventing the Kohn-Sham equations via symmetry preserving neural networks. CoRR Leonardo Zepeda-Núñez, Yixiao Chen, Jiefu Zhang, Weile Jia, Linfeng Zhang, Lin Lin
2019	J	`jnl`	Fast real-time time-dependent hybrid functional calculations with the parallel transport gauge and the adaptively compressed exchange formulation. Comput. Phys. Commun. Weile Jia, Lin Lin
2019	A	`conf`	Parallel transport time-dependent density functional theory calculations with hybrid functional on summit. SC Weile Jia, Lin-Wang Wang, Lin Lin
2018	C	`conf`	A Left-Looking Selected Inversion Algorithm and Task Parallelism on Shared Memory Systems. HPC Asia Mathias Jacquelin, Lin Lin, Weile Jia, Yonghua Zhao, Chao Yang
2018	J	`jnl`	ELSI: A unified software interface for Kohn-Sham electronic structure solvers. Comput. Phys. Commun. Victor Wen-zhe Yu, Fabiano Corsetti, Alberto García, William P. Huhn, Mathias Jacquelin, Weile Jia, Björn Lange, Lin Lin, Jianfeng Lu, Wenhui Mi, Ali Seifitokaldani, Álvaro Vázquez-Mayagoitia, Chao Yang, Haizhao Yang, Volker Blum
2017	J	`jnl`	GPU implementation of the linear scaling three dimensional fragment method for large scale electronic structure calculations. Comput. Phys. Commun. Weile Jia, Jue Wang, Xuebin Chi, Lin-Wang Wang
2017	J	`jnl`	SGO: A fast engine for ab initio atomic structure global optimization by differential evolution. Comput. Phys. Commun. Zhanghui Chen, Weile Jia, Xiangwei Jiang, Shu-Shen Li, Lin-Wang Wang
2016	J	`jnl`	A Left-Looking Selected Inversion Algorithm and Task Parallelism on Shared Memory Systems. CoRR Mathias Jacquelin, Lin Lin, Weile Jia, Yonghua Zhao, Chao Yang
2013	J	`jnl`	Fast plane wave density functional theory molecular dynamics calculations on multi-GPU machines. J. Comput. Phys. Weile Jia, Jiyun Fu, Zongyan Cao, Long Wang, Xuebin Chi, Weiguo Gao, Lin-Wang Wang
2013	J	`jnl`	The analysis of a plane wave pseudopotential density functional theory code on a GPU machine. Comput. Phys. Commun. Weile Jia, Zongyan Cao, Long Wang, Jiyun Fu, Xuebin Chi, Weiguo Gao, Lin-Wang Wang
2011	A	`conf`	Large scale plane wave pseudopotential density functional theory calculations on GPU clusters. SC Long Wang, Yue Wu, Weile Jia, Weiguo Gao, Xuebin Chi, Lin-Wang Wang