Li, Ang

QASMBench: A Low-Level Quantum Benchmark Suite for NISQ Evaluation and Simulation

Li, A., Stein, S., Krishnamoorthy, S., & Ang, J. (2023) · ACM Transactions on Quantum Computing

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 183

Superneurons: dynamic GPU memory management for training deep neural networks

Wang, L., Ye, J., Zhao, Y., Wu, W., Li, A., Song, S. L., Xu, Z., & Kraska, T. (2018) · Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 175

Accelerating Transformer-based Deep Learning Models on FPGAs using Column Balanced Block Pruning

Peng, H., Huang, S., Geng, T., Li, A., Jiang, W., Liu, H., Wang, S., & Ding, C. (2021) · 2021 22nd International Symposium on Quality Electronic Design (ISQED)

Advanced Neural Network ApplicationsEmbedded Systems Design Techniques

Cited by 105

Improved Knowledge Distillation via Teacher Assistant

Mirzadeh, S. I., Farajtabar, M., Li, A., Levine, N., Matsukawa, A., & Ghasemzadeh, H. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 101

QuGAN: A Quantum State Fidelity based Generative Adversarial Network

Stein, S. A., Baheri, B., Chen, D., Mao, Y., Guan, Q., Li, A., Fang, B., & Xu, S. (2021) · 2021 IEEE International Conference on Quantum Computing and Engineering (QCE)

Quantum Computing Algorithms and ArchitectureGenerative Adversarial Networks and Image Synthesis

Cited by 69

A length adaptive algorithm-hardware co-design of transformer on FPGA through sparse attention and dynamic pipelining

Peng, H., Huang, S., Chen, S., Li, B., Geng, T., Li, A., Jiang, W., Wen, W., Bi, J., Liu, H., et al. (2022) · Proceedings of the 59th ACM/IEEE Design Automation Conference

Embedded Systems Design TechniquesAdvanced Neural Network Applications

Cited by 48

QuClassi: A Hybrid Deep Neural Network Architecture based on Quantum State Fidelity

Stein, S. A., Baheri, B., Chen, D., Mao, Y., Guan, Q., Li, A., Xu, S., & Ding, C. (2021) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 41