(* denotes equal contribution, names are ranked alphabetically)

 

2022

• Co-Designing AI Models and DRAMs for On-Device Training

  Sai Qian Zhang, Thierry Tambe, Nestor Cuevas, Jeff Jun Zhang, David Brooks, Gu-Yeon Wei

  Under submission.

 

• Accelerating DNN Execution with Adaptive N:M Pruning on Both Weight and Data

  Sai Qian Zhang, Thierry Tambe, Bradley McDanel, Xin Dong, Jeff Jun Zhang, David Brooks, Gu-Yeon Wei

  Under submission.

 

• Hyperspherical Federated Learning

         Xin Dong, Sai Qian Zhang, Ang Li, H.T. Kung

         European Conference on Computer Vision (ECCV), 2022.

 

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

         Sai Qian Zhang, Jieyu Lin, Qi Zhang

         Thirty-sixth AAAI Conference on Artificial Intelligence (AAAI), 2022.

 

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

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

         IEEE International Symposium on High-Performance Computer Architecture (HPCA-28), 2022.

 

2021

• Training for Multi-resolution Inference Using Reusable Quantization Terms

          Sai Qian Zhang, Bradley McDanel, H.T. Kung, Xin Dong

          ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2021.

 

• Saturation RRAM Leveraging Bit-Level Sparsity Resulting from Term Quantization

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

          IEEE International Symposium on Circuits and Systems (ISCAS), 2021.

 

 

2020

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

          Sai Qian Zhang, Qi Zhang, Jieyu Lin

          Neural Information Processing System (NeurIPS), 2020.

          

• Term Quantization: Furthering Quantization at Run Time

          H.T. Kung*, Bradley McDanel*, Sai Qian Zhang*

          ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2020.

 

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

         Sai Qian Zhang, Jieyu Lin, Qi Zhang

         International Conference on Parallel Processing (ICPP), 2020.

 

• RTN: Reparameterized Ternary Network

         Yuhang li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng chen, Wei Wang

         Thirty-forth AAAI Conference on Artificial Intelligence (AAAI), 2020.

 

• On the Robustness of Cooperative Multi-Agent Reinforcement Learning

         Jieyu Lin, Kristina Dzeparoska, Sai Qian Zhang, Alberto Leon-Garcia, Nicolas Papernot

         IEEE Symposium on Security and Privacy (S&P) Deep Learning and Security workshop, 2020.

 

2019

• Full-stack Optimization for Accelerating CNNs with FPGA Validation

         Sai Qian Zhang* , Bradley McDanel*, H.T. Kung, Xin Dong

         ACM International Conference on Supercomputing (ICS), 2019.

 

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

         Sai Qian Zhang, Qi Zhang, Jieyu Lin

         Neural Information Processing System (NeurIPS), 2019.

 

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

         H.T. Kung*, Bradley McDanel*, Sai Qian Zhang*

         ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2019.

 

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

         H.T. Kung*, Bradley McDanel*, Sai Qian Zhang*, Xin Dong, Chih Chiang Chen

         IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP), 2019.

 

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

         H.T. Kung*, Bradley McDanel*, Sai Qian Zhang*, et al

         IEEE International Symposium on Circuits and Systems (ISCAS), 2019.
 

2018

• A Machine Learning Assisted Cell Selection Method for Drones in Cellular Networks

         Sai Qian Zhang, Feng Xue, Nageen Himayat, Shilpa Talwar, H.T. Kung

         IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2018.

 

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

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

         24th International Conference on Pattern Recognition (ICPR), 2018.

 

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

         H.T. Kung*, Bradley McDanel*, Sai Qian Zhang*

         IEEE Workshop on Signal Processing Systems (SiPS), 2018.

 

2017-2015

• TCAM Space-effcient Routing on Software Defined Network

         Sai Qian Zhang, Qi Zhang, Ali Tizghadam, Byungchul Park, Hadi Bannazadeh, Alberto Leon-Garcia, Raouf Boutaba

         Computer Networks 125: 26-40, 2017.

 

• Sector: TCAM Space Aware Routing on SDN

         Sai Qian Zhang, Qi Zhang, Ali Tizghadam, Byungchul Park, Hadi Bannazadeh, Alberto Leon-Garcia, Raouf Boutaba

         International Teletraffic Congress (ITC), 2016.

 

• Joint NFV Placement and Routing for Multicast Service on SDN

         Sai Qian Zhang, Ali Tizghadam, Byungchul Park, Hadi Bannazadeh, Alberto Leon-Garcia

         IEEE/IFIP Network Operation and Management Symposium (NOMS), 2016.

 

• Aurora: Adaptive Block Replication in Distributed File Systems

         Qi Zhang, Sai Qian Zhang, Alberto Leon-Garcia, Raouf Boutaba

         IEEE International Conference on Distributed Computing Systems (ICDCS), 2015.

 

• Routing algorithms for network function virtualization enabled multicast topology on SDN

         Sai Qian Zhang, Qi Zhang, Hadi Bannazadeh, Alberto Leon-Garcia

         IEEE Transaction on Network and Service Management (TNSM): 580-594, 2015.

 

• Network Function Virtualization Enabled Multicast Routing on SDN

         Sai Qian Zhang, Qi Zhang, Hadi Bannazadeh, Alberto Leon-Garcia.

         IEEE International Conference on Communication (ICC), 2015.

         (best paper award)

 

• Fast Network Flow Resumption for Live Virtual Machine Migration on SDN

         Sai Qian Zhang, Pouya Yasrebi, Ali Tizghadam, Hadi Bannazadeh, Alberto Leon-Garcia

         IEEE International Conference on Network Protocol (ICNP) workshop on Control, Operation and Application in SDN Protocol, 2015.

 

• Kaleidoscope: Real-Time Content Delivery in Software Defined Infrastructures

         Qi Zhang, Sai Qian Zhang, Jieyu Lin, Hadi Bannazadeh, Alberto Leon-Garcia

         IEEE International Symposium on Integrated Net-work Management (IM), 2015.