A Fast Approximate Check Polytope Projection Algorithm for ADMM Decoding of LDPC Codes. - Qiaoqiao Xia; Yan Lin; Shidi Tang; Qinglin Zhang (IEEE Commun. Lett., 2019)

基于查找表的ADMM译码算法中量化算法优化研究 (Study on Optimization of Quantization Algorithm in ADMM Decoding Algorithm Based on Lookup Table). - Huajun Liu; Shidi Tang; Dike Zhang; Qiaoqiao Xia (计算机科学, 2019)

Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning. - Shuxin Zheng; Jiyan He; Chang Liu 030; Yu Shi; Ziheng Lu; Weitao Feng 001; Fusong Ju; Jiaxi Wang; Jianwei Zhu; Yaosen Min; He Zhang; Shidi Tang; et al. (CoRR, 2023)

Effectiveness Analysis of Multiple Initial States Simulated Annealing Algorithm, a Case Study on the Molecular Docking Tool AutoDock Vina. - Xingxing Zhou; Ming Ling; Qingde Lin; Shidi Tang; Jiansheng Wu; Haifeng Hu 004 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Vina-GPU 2.0: Further Accelerating AutoDock Vina and Its Derivatives with Graphics Processing Units. - Ji Ding 002; Shidi Tang; Zheming Mei; Lingyue Wang; Qinqin Huang; Haifeng Hu 004; Ming Ling; Jiansheng Wu (J. Chem. Inf. Model., 2023)

Modeling Equivariant Neural Networks for Hardware Acceleration, a Case Study on the Molecular Docking Tool DiffDock. - Shidi Tang; Xingxing Zhou; Ming Ling (PACRIM, 2024)

Predicting equilibrium distributions for molecular systems with deep learning. - Shuxin Zheng; Jiyan He; Chang Liu 030; Yu Shi; Ziheng Lu; Weitao Feng 001; Fusong Ju; Jiaxi Wang; Jianwei Zhu; Yaosen Min; He Zhang; Shidi Tang; et al. (Nat. Mac. Intell., 2024)

Author Correction: Predicting equilibrium distributions for molecular systems with deep learning. - Shuxin Zheng; Jiyan He; Chang Liu 030; Yu Shi; Ziheng Lu; Weitao Feng 001; Fusong Ju; Jiaxi Wang; Jianwei Zhu; Yaosen Min; He Zhang; Shidi Tang; et al. (Nat. Mac. Intell., 2024)

Vina-GPU 2.1: Towards Further Optimizing Docking Speed and Precision of AutoDock Vina and Its Derivatives. - Shidi Tang; Ji Ding 002; Xiangyu Zhu; Zheng Wang; Haitao Zhao 004; Jiansheng Wu (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Vina-FPGA-Cluster: Multi-FPGA Based Molecular Docking Tool With High-Accuracy and Multi-Level Parallelism. - Ming Ling; Zhihao Feng; Ruiqi Chen 001; Yi Shao; Shidi Tang; Yanxiang Zhu (IEEE Trans. Biomed. Circuits Syst., 2024)

ATE-GCN: An FPGA-Based Graph Convolutional Network Accelerator with Asymmetrical Ternary Quantization. - Ruiqi Chen 001; Jiayu Liu; Shidi Tang; Yang Liu; Yanxiang Zhu; Ming Ling; Bruno Da Silva (DATE, 2025)

FPGA-Based Approximate Multiplier for FP8. - Ruiqi Chen 001; Yangxintong Lyu; Han Bao; Jiayu Liu; Yanxiang Zhu; Shidi Tang; Ming Ling; Bruno da Silva 001 (FCCM, 2025)

D-GCN: A Dynamic Pruning Accelerator for Deep Graph Convolutional Networks with Hybrid Dataflow. - Shun Li; Hao Zhou 008; Enhao Tang; Yang Liu 376; Shidi Tang; Ming Ling (ACM Great Lakes Symposium on VLSI, 2025)

DiffDock-FPGA: A Hardware Accelerator for Molecular Docking with Customized Tensor Product Framework and Sparse-Aware Access Strategy. - Chuanzhao Zhang; Rui Liu; Shidi Tang; Shun Li; Ming Ling (ACM Great Lakes Symposium on VLSI, 2025)