S. Zhang

发表

Field-Conﬁgurable Multi-resolution Inference: Rethinking Quantization

H. T. Kung, S. Zhang, Bradley McDanel, 2020 .

SphereFed: Hyperspherical Federated Learning

Ang Li, S. Zhang, Xin Dong, 2022, ECCV.

RTN: Reparameterized Ternary Network pdf

Wei Wang, Yuhang Li, Sai Qian Zhang, 2019, AAAI.

Partitioning Large Scale Deep Belief Networks Using Dropout pdf

Sai Zhang, Yanping Huang, Yanping Huang, 2015, ArXiv.

Systolic Building Block for Logic-on-Logic 3D-IC Implementations of Convolutional Neural Networks

H. T. Kung, Sai Qian Zhang, Bradley McDanel, 2019, 2019 IEEE International Symposium on Circuits and Systems (ISCAS).

Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations: Column Combining Under Joint Optimization

H. T. Kung, Sai Qian Zhang, Bradley McDanel, 2018, ASPLOS.

On the Robustness of Cooperative Multi-Agent Reinforcement Learning

Alberto Leon-Garcia, Sai Qian Zhang, Nicolas Papernot, 2020, 2020 IEEE Security and Privacy Workshops (SPW).

Full-stack optimization for accelerating CNNs using powers-of-two weights with FPGA validation

H. T. Kung, Sai Qian Zhang, Bradley McDanel, 2019, ICS.

TCAM space-efficient routing in a software defined network

Raouf Boutaba, Ali Tizghadam, Alberto Leon-Garcia, 2017, Comput. Networks.

A Multi-agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning pdf

Jieyu Lin, Qi Zhang, Sai Qian Zhang, 2022, AAAI.

Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control

Qi Zhang, S. Zhang, Jieyu Lin, 2019, NeurIPS.

Adaptive Distributed Convolutional Neural Network Inference at the Network Edge with ADCNN

Qi Zhang, Sai Qian Zhang, Jieyu Lin, 2020, ICPP.

Succinct and Robust Multi-Agent Communication With Temporal Message Control pdf

Qi Zhang, Sai Qian Zhang, Jieyu Lin, 2020, NeurIPS.

Joint NFV placement and routing for multicast service on SDN

Ali Tizghadam, Alberto Leon-Garcia, Sai Qian Zhang, 2016, NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium.

Network Function Virtualization enabled multicast routing on SDN

Alberto Leon-Garcia, Sai Qian Zhang, Hadi Bannazadeh, 2015, 2015 IEEE International Conference on Communications (ICC).

Full-stack Optimization for Accelerating CNNs with FPGA Validation pdf

H. T. Kung, Sai Qian Zhang, Bradley McDanel, 2019, ArXiv.

Learning Advanced Client Selection Strategy for Federated Learning

Qi Zhang, S. Zhang, Jieyu Lin, 2021 .

FAST: DNN Training Under Variable Precision Block Floating Point with Stochastic Rounding pdf

Sai Qian Zhang, Bradley McDanel, H. T. Kung, 2021, 2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA).

Adaptive Tiling: Applying Fixed-size Systolic Arrays To Sparse Convolutional Neural Networks

H. T. Kung, Sai Qian Zhang, Bradley McDanel, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

InferBeam: A Fast Beam Alignment Protocol for Millimeter-wave Networking pdf

H. T. Kung, Sai Qian Zhang, Youngjune Gwon, 2018, ArXiv.

Multicast Routing for Virtual Network Functions on SDN

Sai Qian Zhang, S. Zhang, 2016 .

Saturation RRAM Leveraging Bit-Level Sparsity Resulting from Term Quantization

Sai Qian Zhang, Bradley McDanel, H. T. Kung, 2021, 2021 IEEE International Symposium on Circuits and Systems (ISCAS).

Term Revealing: Furthering Quantization at Run Time on Quantized DNNs pdf

H. T. Kung, Sai Qian Zhang, Bradley McDanel, 2020, ArXiv.

Maestro: A Memory-on-Logic Architecture for Coordinated Parallel Use of Many Systolic Arrays

H. T. Kung, Sai Qian Zhang, Bradley McDanel, 2019, 2019 IEEE 30th International Conference on Application-specific Systems, Architectures and Processors (ASAP).

Mapping Systolic Arrays onto 3D Circuit Structures: Accelerating Convolutional Neural Network Inference

H. T. Kung, Sai Qian Zhang, Bradley McDanel, 2018, 2018 IEEE International Workshop on Signal Processing Systems (SiPS).

Routing Algorithms for Network Function Virtualization Enabled Multicast Topology on SDN

Alberto Leon-Garcia, Sai Qian Zhang, Hadi Bannazadeh, 2015, IEEE Transactions on Network and Service Management.

Training for multi-resolution inference using reusable quantization terms

Sai Qian Zhang, Bradley McDanel, H. T. Kung, 2021, ASPLOS.