Sequential data visualization. - Yunhai Wang; Wei Chen 001; Jian Zhang 070; Yangang Wang 002; Xuebin Chi (IUCS, 2010)

Extreme-scale phase field simulations of coarsening dynamics on the sunway taihulight supercomputer. - Jian Zhang 070; Chunbao Zhou; Yangang Wang 002; Lili Ju; Qiang Du 001; Xuebin Chi; Dongsheng Xu; Dexun Chen; Yong Liu; Zhao Liu (SC, 2016)

The Sunway TaihuLight supercomputer: system and applications. - Haohuan Fu; Junfeng Liao; Jinzhe Yang; Lanning Wang; Zhenya Song; Xiaomeng Huang; Chao Yang 002; Wei Xue 003; Fangfang Liu 004; Fangli Qiao; Wei Zhao; Xunqiang Yin; et al. (Sci. China Inf. Sci., 2016)

MaMR: High-performance MapReduce programming model for material cloud applications. - Weipeng Jing 001; Danyu Tong; Yangang Wang 002; Jingyuan Wang 001; Yaqiu Liu; Peng Zhao (Comput. Phys. Commun., 2017)

Design of Heterogeneous Evaluation Method for Redundant Circuits. - Huicong Wu; Jie Yu; Yangang Wang 002; Xiaoguang Wang (SmartCom, 2018)

Artificial Intelligence Platform for Mobile Service Computing. - Haikuo Zhang; Zhonghua Lu; Ke Xu; Yuchen Pang; Fang Liu; Liandong Chen; Jue Wang 013; Yangang Wang 002; Rongqiang Cao (J. Signal Process. Syst., 2019)

A Genetic Algorithm-Based Artificial Network Method for Material Feature Recombination. - Jialong Guo; Zhiwei Liu; Zongguo Wang; Yuhang Hu; Jue Wang 013; Yangang Wang 002 (SmartCloud, 2021)

Secure Shell Remote Access for Virtualized Computing Environment. - He Li 010; Rongqiang Cao; Hanwen Xiu; Meng Wan; Kai Li; Xiaoguang Wang; Yangang Wang 002; Jue Wang 013 (SmartCom, 2021)

Sci-Base: A Resource Aggregation and Sharing Ecology for Software on Discovery Science. - Meng Wan; Jiaheng Wang; Jue Wang 013; Rongqiang Cao; Yangang Wang 002; He Li 010 (SmartCom, 2021)

Defects Detection System of Medical Gloves Based on Deep Learning. - Jing Wang; Meng Wan; Jue Wang 013; Xiaoguang Wang; Yangang Wang 002; Fang Liu; Weixiao Min; He Lei; Lihua Wang (SmartCom, 2021)

IVDAS: an interactive visual design and analysis system for image data symmetry detection of CNN models. - Xiaoyang Han; Han-Wei Shen; Guan Li 002; Xuyi Lu; Guihua Shan; Yangang Wang 002 (J. Vis., 2021)

Data-Driven Approach for Investigation of Irradiation Hardening Behavior of RAFM Steel. - Zongguo Wang; Ziyi Chen; Xinfu He; Han Cao; Yuedong Cui; Meng Wan; Jue Wang 013; Yangang Wang 002 (KSEM (2), 2022)

A Multi-level Attention-Based LSTM Network for Ultra-short-term Solar Power Forecast Using Meteorological Knowledge. - Tiechui Yao; Jue Wang 013; Haizhou Cao; Fang Liu; Xiaoguang Wang; Yangang Wang 002; Xuebin Chi (KSEM (2), 2022)

OpenVenus: An Open Service Interface for HPC Environment Based on SLURM. - Meng Wan; Rongqiang Cao; Yangang Wang 002; Jue Wang 013; Kai Li; Xiaoguang Wang; Qinmeng Yang (SmartCom, 2022)

VenusAI: An artificial intelligence platform for scientific discovery on supercomputers. - Tiechui Yao; Jue Wang 013; Meng Wan; Zhikuang Xin; Yangang Wang 002; Rongqiang Cao; Shigang Li 002; Xuebin Chi (J. Syst. Archit., 2022)

DeepSSN: A deep convolutional neural network to assess spatial scene similarity. - Danhuai Guo; Shiyin Ge; Shu Zhang; Song Gao 001; Ran Tao 012; Yangang Wang 002 (Trans. GIS, 2022)

Graph Representation Learning for Similarity Stocks Analysis. - Boyao Zhang; Chao Yang 001; Haikuo Zhang; Zongguo Wang; Jingqi Sun; Lihua Wang; Yonghua Zhao; Yangang Wang 002 (J. Signal Process. Syst., 2022)

InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting. - Haizhou Cao; Zhenhao Huang 001; Tiechui Yao; Jue Wang 013; Hui He; Yangang Wang 002 (AAAI, 2023)

Deployment and Comparison of Large Language Models Based on Virtual Cluster. - Kai Li; Rongqiang Cao; Meng Wan; Xiaoguang Wang; Zongguo Wang; Jue Wang 013; Yangang Wang 002 (CICAI (2), 2023)

Updates and Experiences of VenusAI Platform. - Meng Wan; Rongqiang Cao; Kai Li; Xiaoguang Wang; Zongguo Wang; Jue Wang 013; Yangang Wang 002 (CICAI (2), 2023)

A Sparse Matrix Optimization Method for Graph Neural Networks Training. - Tiechui Yao; Jue Wang 013; Junyu Gu; Yumeng Shi; Fang Liu; Xiaoguang Wang; Yangang Wang 002; Xuebin Chi (KSEM (1), 2023)

A Scalable Hybrid Total FETI Method for Massively Parallel FEM Simulations. - Kehao Lin; Chunbao Zhou; Yan Zeng; Ningming Nie; Jue Wang 013; Shigang Li 002; Yangde Feng; Yangang Wang 002; Kehan Yao; Tiechui Yao; Jilin Zhang; Jian Wan 001 (PPoPP, 2023)

ANT-MOC: Scalable Neutral Particle Transport Using 3D Method of Characteristics on Multi-GPU Systems. - Shunde Li; Zongguo Wang; Lingkun Bu; Jue Wang 013; Zhikuang Xin; Shigang Li 002; Yangang Wang 002; Yangde Feng; Peng Shi 006; Yun Hu; Xuebin Chi (SC, 2023)

Large-Scale Simulation of Structural Dynamics Computing on GPU Clusters. - Yumeng Shi; Ningming Nie; Jue Wang 013; Kehao Lin; Chunbao Zhou; Shigang Li 002; Kehan Yao; Shunde Li; Yangde Feng; Yan Zeng; Fang Liu; Yangang Wang 002; et al. (SC, 2023)

Multiscale Representation of Radar Echo Data Retrieved through Deep Learning from Numerical Model Simulations and Satellite Images. - Mingming Zhu; Qi Liao; Lin Wu; Si Zhang; Zifa Wang; Xiaole Pan; Qizhong Wu; Yangang Wang 002; Debin Su (Remote. Sens., 2023)

Rationality of Thought Improves Reasoning in Large Language Models. - Tian Gou; Boyao Zhang; Zhenglie Sun; Jing Wang; Fang Liu; Yangang Wang 002; Jue Wang 013 (KSEM (4), 2024)

Reinforcement Learning for Scientific Application: A Survey. - Zhikuang Xin; Zhenghong Wu; Dong Zhu; Xiaoguang Wang; Jue Wang 013; Yangang Wang 002 (KSEM (5), 2024)

POSTER: ParGNN: Efficient Training for Large-Scale Graph Neural Network on GPU Clusters. - Shunde Li; Junyu Gu; Jue Wang 013; Tiechui Yao; Zhiqiang Liang; Yumeng Shi; Shigang Li 002; Weiting Xi; Shushen Li; Chunbao Zhou; Yangang Wang 002; Xuebin Chi (PPoPP, 2024)

ParGNN: A Scalable Graph Neural Network Training Framework on multi-GPUs. - Junyu Gu; Shunde Li; Rongqiang Cao; Jue Wang 013; Zijian Wang; Zhiqiang Liang; Fang Liu; Shigang Li 002; Chunbao Zhou; Yangang Wang 002; Xuebin Chi (DAC, 2025)

PPDformer: Channel-Specific Periodic Patch Division for Time Series Forecasting. - Meng Wan; Qi Su; Huan Hao; Jue Wang 013; Yuexiu Cui; Yuxuan Bi; Rongqiang Cao; Peng Shi 006; Yangang Wang 002; Zonghua Qiu; Zongshan Zhang (ICASSP, 2025)

SEP: A General Lossless Compression Framework with Semantics Enhancement and Multi-Stream Pipelines. - Meng Wan; Rongqiang Cao; Yanghao Li; Jue Wang 013; Zijian Wang; Qi Su; Lei Qiu; Peng Shi 006; Yangang Wang 002; Chong Li (IJCAI, 2025)

MCloudNet: An Ultra-Short-Term Photovoltaic Power Forecasting Framework With Multi-Layer Cloud Coverage. - Meng Wan; Tiantian Liu; Yuxuan Bi; Jue Wang 013; Hui Cui; Rongqiang Cao; Jiaxiang Wang 002; Peng Shi 006; Ningming Nie; Yangang Wang 002 (IJCAI, 2025)

PAformer: Transformer with Learnable Period Detection and Periodic Attention for Multivariate Time Series. - Meng Wan; Huan Hao; Yuxuan Bi; Jue Wang 013; Qi Su; Fang Liu; Peng Shi 006; Xueyan Wei; Yangang Wang 002; Shulong Wang; Helian Wu (KSEM (2), 2025)

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores. - Haisha Zhao; San Li; Jiaheng Wang; Chunbao Zhou; Jue Wang 013; Zhikuang Xin; Shunde Li; Zhiqiang Liang; Zhijie Pan; Fang Liu; Yan Zeng; Yangang Wang 002; et al. (PPoPP, 2025)

MISA-AKMC : Achieve Kinetic Monte Carlo Simulation of 20 Quadrillion Atoms on GPU Clusters. - Shunde Li; Zhijie Pan; Ningming Nie; Jue Wang 013; He Bai 005; Genshen Chu; Yan Zeng; Xinfu He; Yangang Wang 002; Changjun Hu; Xuebin Chi (SC, 2025)

Neutron particle transport 3D method of characteristic Multi GPU platform Parallel Computing. - Faguo Zhou; Shunde Li; Rong Xue; Lingkun Bu; Ningming Nie; Peng Shi 006; Jue Wang 013; Yun Hu; Zongguo Wang; Yangang Wang 002; Qinmeng Yang; Miao Yu (CoRR, 2025)

Lossless Compression: A New Benchmark for Time Series Model Evaluation. - Meng Wan; Benxi Tian; Jue Wang 013; Cui Hui; Ningming Nie; Tiantian Liu; Zongguo Wang; Rongqiang Cao; Peng Shi 006; Yangang Wang 002 (CoRR, 2025)

RipAlert: A Future-Frame-Aware Framework for Rip Current Forecasting and Early Alerting. - Meng Wang 001; Qi Su; Zhixin Xia; Kanglin Chen; Jue Wang 013; Tiantian Liu; Rongqiang Cao; Hui Cui; Peng Shi 006; Yangang Wang 002; Liqiang Feng; Zhenbing Zhao (AAAI, 2026)

TAC: Cache-Based System for Accelerating Billion-Scale GNN Training on Multi-GPU Platform. - Zhiqiang Liang; Hongyu Gao; Jue Wang 013; Fang Liu; Xingguo Shi; Junyu Gu; Peng Di; Sian Li; Lei Tang; Chunbao Zhou; Lian Zhao; Yangang Wang 002; et al. (PPoPP, 2026)