[1]. Zhen Du, Jiajia Li, Yinshan Wang, Xueqi Li, Guangming Tan, Ninghui Sun, AlphaSparse: Generating High Performance SpMV Codes Directly from Sparse Matrices, SC 22  

[2]. 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, 2.5 Million-Atom Ab Initio Electronic-Structure Simulation of Complex Metallic Heterostructures with DGDFT, SC 2022 (GB Finalist) 

[3]. Junmin Xiao, Yunfei Pang, Qing Xue, Chaoyang Shui, Ke Meng, Hui Ma, Mingyi Li, Xiaoyang Zhang, Guangming Tan, W-Cycle SVD: A Multilevel Algorithm for Batched SVD on GPUs, SC 2022 

[4]. Zhen Xie; Guangming Tan; Weifeng Liu; Ninghui Sun, A Pattern-Based SpGEMM Library for Multi-Core and Many-Core Architectures,IEEE Transactions on Parallel and Distributed Systems , Volume: 33, Issue: 1, Jan. 1 2022, Page(s): 159 – 175 

[5]. Ruihao Gao, Xueqi Li, Yewen Li, Xun Wang, Guangming Tan: MetaZip: a high-throughput and efficient accelerator for DEFLATE. DAC 2022: 319-324 

[6]. 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, Extending the limit of molecular dynamics with ab initio accuracy to 10 billion atoms. PPoPP 2022: 205-218 

[7]. Guangming Tan, Chaoyang Shui, Yinshan Wang, Xianzhi Yu, Yujin Yan, Optimizing the LINPACK Algorithm for Large-scale PCIe-based CPU-GPU Heterogeneous Systems, IEEE Transactions on Parallel and Distributed Systems, Volume: 32, Issue: 9 , Page(s): 2367-2380, 2021. 

[8]. Xiaoyang Zhang, Junmin Xiao, Guangming Tan, I/O Lower Bounds for Auto-tuning of Convolutions in CNNs, ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPOPP) 2021 

[9]. En Shao; Guangming Tan; Zhan Wang; Guojun Yuan; Zheng Cao; Ninghui Sun, A new optoelectronic hybrid network based on scheduling optimization of optical links, IEEE Transactions on Computers, Volume: 70, Issue: 6, Page(s): 863-876, 2021 

[10]. Yue Y, Zong W, Li X, Li J, Zhang Y, Wu R, Liu Y, Cui J, Wang Q, Bian Y, Yu X, Liu Y, Tan G, Zhang Y, Zhao G, Zhou B, Chen L, Xiao W, Cheng H, and He, A. Long-term live imaging reconstructs in toto cardiomyocyte behaviors underlying mammalian heart chamber formation. Nature Cell Biology. 2020; 22, 332–340 

[11]. Junmin Xiao, Shijie Wang, Weiqiang Wan, Xuehai Hong, Guangming Tan: S-EnKF: co-designing for scalable ensemble Kalman filter. PPoPP 2019: 15-26. 

[12]. Ke Meng, Jiajia Li, Guangming Tan, Ninghui Sun: A pattern based algorithmic autotuner for graph processing on GPUs. PPoPP 2019: 201-213. 

[13]. Hao Chi, Chao Liu, Hao Yang, Wen-Feng Zeng, Long Wu, Wen-Jing Zhou, Rui-Min Wang, Xiu-Nan Niu, Yue-He Ding, Yao Zhang, Zhao-Wei Wang, Zhen-Lin Chen, Rui-Xiang Sun, Tao Liu, Guangming Tan, Meng-Qiu Dong, Ping Xu, Pei-Heng Zhang, Si-Min He, Comprehensive identification of peptides in tandem mass spectra using an efficient open search engine, Nature Biotechnology , volume 36, pages 1059–1061 (2018) 

[14]. Ke-ren Zhou, Guangming Tan, Wei Zhou: Quadboost: A Scalable Concurrent Quadtree. IEEE Trans. Parallel Distrib. Syst. 29(3): 673-686(2018). 

[15]. Xueqi Li, Guangming Tan, Bingchen Wang, Ninghui Sun: High-performance genomic analysis framework with in-memory computing. ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPOPP) 2018: 317-328. 

[16]. Xiuxia Zhang, Guangming Tan, Shuangbai Xue, Jiajia Li, Keren Zhou, Mingyu Chen, Understanding the GPU Microarchitecture to Achieve Bare-Metal Performance Tuning. ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPOPP) 2017: 31-43. 

[17]. Guangming Tan, Chunming Zhang, Wen Tang, Peiheng Zhang, Ninghui Sun, Accelerating Irregular Computation in Massive Short Reads Mapping on FPGA Co-processor, IEEE Transactions on Parallel and Distributed Systems, Vol.27, No.5, 2016. 

[18]. Jie Yan, Guangming Tan, Zeyao Mo, Ninghui Sun, Graphine: Programming Graph-Parallel Computation of Large Natural Graphs on Multicore Cluster, IEEE Transactions on Parallel and Distributed Systems, Vol.27, No.6, 2016.  

[19]. Jiajia Li, Guangming Tan, Mingyu Chen, Ninghui Sun,SMAT: An Input Adaptive Auto-Tuner for Sparse Matrix-Vector Multiplication, the 34th annual ACM SIGPLAN conference on Programming Language Design and Implementation (PLDI), 117-126, 2013. 

[20]. Guangming Tan, Linchuan Li, Sean Triechler, Everett Phillips, Yungang Bao, Ninghui Sun, Fast Implementation of DGEMM on Fermi GPU, ACM/IEEE Supercomputing (SC), 2011. 

[21]. Guangming Tan, Ninghui Sun and Guang R. Gao. Improving Performance of Dynamic Programming via Parallelism and Locality on Multi-core Architectures. IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol.20, No.2, pp. 261-274, 2009. 

[22]. Guangming Tan, Ninghui Sun, Guang R. Gao: A parallel dynamic programming algorithm on a multi-core architecture. the 19th Annual ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), 135-144, 2007.  

[23]. Guangming Tan, Shengzhong Feng, Ninghui Sun, Locality and parallelism optimization for dynamic programming algorithm in bioinformatics. ACM/IEEE Supercomputing (SC), 2006.