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Shidi Tang
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2020 – today
- 2026
[j11]Minghao Tang
, Ming Ling, Minhua Ren, Zhihua Cai, Zhen Liu, Shidi Tang, Jianjun Li
:
Hessian-driven N:M sparsity and quantization co-optimization for edge device deployment. Integr. 107: 102629 (2026)- 2025
[j10]Ming Ling
, Shidi Tang, Ruiqi Chen
, Xin Li, Yanxiang Zhu:
Vina-FPGA2: a high-level parallelized hardware-accelerated molecular docking tool based on the inter-module pipeline. Frontiers Inf. Technol. Electron. Eng. 26(11): 2215-2230 (2025)
[j9]Ming Ling
, Chuanzhao Zhang
, Shidi Tang
, Ruiqi Chen
, Yanxiang Zhu
:
EEVS: Redeploying Discarded Smartphones for Economic and Ecological Drug Molecules Virtual Screening. IEEE Trans. Sustain. Comput. 10(5): 830-842 (2025)
[c6]Ruiqi Chen
, Jiayu Liu
, Shidi Tang, Yang Liu, Yanxiang Zhu, Ming Ling, Bruno da Silva
:
ATE-GCN: An FPGA-Based Graph Convolutional Network Accelerator with Asymmetrical Ternary Quantization. DATE 2025: 1-6
[c5]Ruiqi Chen
, Yangxintong Lyu
, Han Bao
, Jiayu Liu
, Yanxiang Zhu, Shidi Tang, Ming Ling, Bruno da Silva
:
FPGA-Based Approximate Multiplier for FP8. FCCM 2025: 1-9
[c4]Chuanzhao Zhang
, Rui Liu
, Shidi Tang
, Shun Li
, Ming Ling
:
DiffDock-FPGA: A Hardware Accelerator for Molecular Docking with Customized Tensor Product Framework and Sparse-Aware Access Strategy. ACM Great Lakes Symposium on VLSI 2025: 435-441
[c3]Shun Li
, Hao Zhou
, Enhao Tang
, Yang Liu
, Shidi Tang
, Ming Ling
:
D-GCN: A Dynamic Pruning Accelerator for Deep Graph Convolutional Networks with Hybrid Dataflow. ACM Great Lakes Symposium on VLSI 2025: 798-804
[c2]Shidi Tang, Pengwei Zheng, Ruiqi Chen, Yuxuan Lv, Bruno da Silva, Ming Ling:
Diff-DiT: Temporal Differential Accelerator for Low-bit Diffusion Transformers on FPGA. ICCAD 2025: 1-9- 2024
[j8]Shuxin Zheng
, Jiyan He
, Chang Liu
, Yu Shi, Ziheng Lu, Weitao Feng, Fusong Ju
, Jiaxi Wang, Jianwei Zhu
, Yaosen Min, He Zhang, Shidi Tang
, Hongxia Hao
, Peiran Jin, Chi Chen
, Frank Noé, Haiguang Liu
, Tie-Yan Liu
:
Predicting equilibrium distributions for molecular systems with deep learning. Nat. Mac. Intell. 6(5): 558-567 (2024)
[j7]Shuxin Zheng
, Jiyan He
, Chang Liu
, Yu Shi, Ziheng Lu, Weitao Feng, Fusong Ju
, Jiaxi Wang, Jianwei Zhu
, Yaosen Min, He Zhang, Shidi Tang
, Hongxia Hao
, Peiran Jin, Chi Chen
, Frank Noé, Haiguang Liu
, Tie-Yan Liu
:
Author Correction: Predicting equilibrium distributions for molecular systems with deep learning. Nat. Mac. Intell. 6(12): 1626 (2024)
[j6]Ming Ling
, Zhihao Feng
, Ruiqi Chen
, Yi Shao
, Shidi Tang
, Yanxiang Zhu
:
Vina-FPGA-Cluster: Multi-FPGA Based Molecular Docking Tool With High-Accuracy and Multi-Level Parallelism. IEEE Trans. Biomed. Circuits Syst. 18(6): 1321-1337 (2024)
[j5]Shidi Tang
, Ji Ding
, Xiangyu Zhu, Zheng Wang, Haitao Zhao
, Jiansheng Wu
:
Vina-GPU 2.1: Towards Further Optimizing Docking Speed and Precision of AutoDock Vina and Its Derivatives. IEEE ACM Trans. Comput. Biol. Bioinform. 21(6): 2382-2393 (2024)
[c1]Shidi Tang, Xingxing Zhou, Ming Ling:
Modeling Equivariant Neural Networks for Hardware Acceleration, a Case Study on the Molecular Docking Tool DiffDock. PACRIM 2024: 1-6- 2023
[j4]Ji Ding
, Shidi Tang
, Zheming Mei, Lingyue Wang, Qinqin Huang, Haifeng Hu
, Ming Ling, Jiansheng Wu
:
Vina-GPU 2.0: Further Accelerating AutoDock Vina and Its Derivatives with Graphics Processing Units. J. Chem. Inf. Model. 63(7): 1982-1998 (2023)
[j3]Xingxing Zhou
, Ming Ling
, Qingde Lin
, Shidi Tang
, Jiansheng Wu
, Haifeng Hu
:
Effectiveness Analysis of Multiple Initial States Simulated Annealing Algorithm, a Case Study on the Molecular Docking Tool AutoDock Vina. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3830-3841 (2023)
[i1]Shuxin Zheng, Jiyan He, Chang Liu, Yu Shi, Ziheng Lu, Weitao Feng, Fusong Ju, Jiaxi Wang, Jianwei Zhu, Yaosen Min, He Zhang, Shidi Tang, Hongxia Hao, Peiran Jin, Chi Chen, Frank Noé, Haiguang Liu, Tie-Yan Liu:
Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning. CoRR abs/2306.05445 (2023)
2010 – 2019
- 2019
[j2]Qiaoqiao Xia
, Yan Lin
, Shidi Tang
, Qinglin Zhang
:
A Fast Approximate Check Polytope Projection Algorithm for ADMM Decoding of LDPC Codes. IEEE Commun. Lett. 23(9): 1520-1523 (2019)
[j1]Huajun Liu, Shidi Tang, Dike Zhang, Qiaoqiao Xia
:
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). 计算机科学 46(11): 328-333 (2019)
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