Bound entangled states fit for robust experimental verification. - Gael Sentís; Johannes N. Greiner; Jiangwei Shang; Jens Siewert; Matthias Kleinmann (Quantum, 2018)

Coherence Depletion in Quantum Algorithms. - Ye-Chao Liu; Jiangwei Shang; Xiangdong Zhang (Entropy, 2019)

LACS: A High-Computational-Efficiency Accelerator for CNNs. - Jiangwei Shang; Lei Qian; Zhan Zhang 002; Lixing Xue; Hongwei Liu 002 (IEEE Access, 2020)

A Software/Hardware Co-design Local Irregular Sparsity Method for Accelerating CNNs on FPGA. - Jiangwei Shang; Zhan Zhang 002; Chuanyou Li; Kun Zhang; Lei Qian; Hongwei Liu 002 (ICPP Workshops, 2022)

ANNA: Accelerating Neural Network Accelerator through software-hardware co-design for vertical applications in edge systems. - Chuanyou Li; Kun Zhang; Yifan Li; Jiangwei Shang; Xinyue Zhang; Lei Qian (Future Gener. Comput. Syst., 2023)

A high-performance convolution block oriented accelerator for MBConv-Based CNNs. - Jiangwei Shang; Kun Zhang; Zhan Zhang 002; Chuanyou Li; Hongwei Liu 002 (Integr., 2023)

Reliable Optimization of Arbitrary Functions over Quantum Measurements. - Jing Luo; Jiangwei Shang (Entropy, 2023)

Multi-condition controlled sedimentary facies modeling based on generative adversarial network. - Fei Hu; Chunlei Wu; Jiangwei Shang; Yiming Yan; Leiquan Wang; Huan Zhang 015 (Comput. Geosci., 2023)

An algorithm/hardware co-optimized method to accelerate CNNs with compressed convolutional weights on FPGA. - Jiangwei Shang; Zhan Zhang 002; Kun Zhang; Chuanyou Li; Lei Qian; Hong-Wei Liu 002 (Concurr. Comput. Pract. Exp., 2024)