Sai Qian Zhang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 43

Top Topics

Reinforcement Learning

Convolutional Neural Networks

Top Venues

Publications

Wenxuan Liu, Sai Qian Zhang
HQ-DiT: Efficient Diffusion Transformer with FP4 Hybrid Quantization. CoRR (2024)
Andre Nakkab, Sai Qian Zhang, Ramesh Karri, Siddharth Garg
Rome was Not Built in a Single Step: Hierarchical Prompting for LLM-based Chip Design. CoRR (2024)
Jieyu Lin, Minghao Li, Sai Qian Zhang, Alberto Leon-Garcia
Murmuration: On-the-fly DNN Adaptation for SLO-Aware Distributed Inference in Dynamic Edge Environments. ICPP (2024)
Zeyu Han, Chao Gao, Jinyang Liu, Jeff Zhang, Sai Qian Zhang
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey. CoRR (2024)
Jieyu Lin, Sai Qian Zhang, Alberto Leon-Garcia
sLLM: Accelerating LLM Inference using Semantic Load Balancing with Shared Memory Data Structures. ISQED (2024)
Sai Qian Zhang, Jieyu Lin, Qi Zhang, Yu-Jia Chen
Learning Client Selection Strategy for Federated Learning across Heterogeneous Mobile Devices. ISQED (2024)
Chao Gao, Sai Qian Zhang
DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model. CoRR (2024)
Sai Qian Zhang, Thierry Tambe, Nestor Cuevas, Gu-Yeon Wei, David Brooks
CAMEL: Co-Designing AI Models and eDRAMs for Efficient On-Device Learning. HPCA (2024)
Yixuan Luo, Mengye Ren, Sai Qian Zhang
BIM: Block-Wise Self-Supervised Learning with Masked Image Modeling. CoRR (2023)
Sai Qian Zhang, Thierry Tambe, Nestor Cuevas, Gu-Yeon Wei, David Brooks
CAMEL: Co-Designing AI Models and Embedded DRAMs for Efficient On-Device Learning. CoRR (2023)
Tianhua Xia, Sai Qian Zhang
Softmax Acceleration with Adaptive Numeric Format for both Training and Inference. CoRR (2023)
Xin Dong, Sai Qian Zhang, Ang Li, H. T. Kung
SphereFed: Hyperspherical Federated Learning. ECCV (26) (2022)
Sai Qian Zhang, Jieyu Lin, Qi Zhang
A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning. AAAI (2022)
Sai Qian Zhang, Bradley McDanel, H. T. Kung
FAST: DNN Training Under Variable Precision Block Floating Point with Stochastic Rounding. HPCA (2022)
Sai Qian Zhang, Jieyu Lin, Qi Zhang
A Multi-agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning. CoRR (2022)
Xin Dong, Sai Qian Zhang, Ang Li, H. T. Kung
SphereFed: Hyperspherical Federated Learning. CoRR (2022)
Sai Qian Zhang, Bradley McDanel, H. T. Kung, Xin Dong
Training for multi-resolution inference using reusable quantization terms. ASPLOS (2021)
Sai Qian Zhang, Bradley McDanel, H. T. Kung
FAST: DNN Training Under Variable Precision Block Floating Point with Stochastic Rounding. CoRR (2021)
Bradley McDanel, Sai Qian Zhang, H. T. Kung
Saturation RRAM Leveraging Bit-Level Sparsity Resulting from Term Quantization. ISCAS (2021)
Hsiang-Tsung Kung, Bradley McDanel, Sai Qian Zhang
Term quantization: furthering quantization at run time. SC (2020)
Sai Qian Zhang, Jieyu Lin, Qi Zhang
Succinct and Robust Multi-Agent Communication With Temporal Message Control. CoRR (2020)
Jieyu Lin, Kristina Dzeparoska, Sai Qian Zhang, Alberto Leon-Garcia, Nicolas Papernot
On the Robustness of Cooperative Multi-Agent Reinforcement Learning. SP Workshops (2020)
Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, Wei Wang
RTN: Reparameterized Ternary Network. AAAI (2020)
Jieyu Lin, Kristina Dzeparoska, Sai Qian Zhang, Alberto Leon-Garcia, Nicolas Papernot
On the Robustness of Cooperative Multi-Agent Reinforcement Learning. CoRR (2020)
H. T. Kung, Bradley McDanel, Sai Qian Zhang
Term Revealing: Furthering Quantization at Run Time on Quantized DNNs. CoRR (2020)
Sai Qian Zhang, Qi Zhang, Jieyu Lin
Succinct and Robust Multi-Agent Communication With Temporal Message Control. NeurIPS (2020)
Sai Qian Zhang, Jieyu Lin, Qi Zhang
Adaptive Distributed Convolutional Neural Network Inference at the Network Edge with ADCNN. ICPP (2020)
Bradley McDanel, Sai Qian Zhang, H. T. Kung, Xin Dong
Full-stack optimization for accelerating CNNs using powers-of-two weights with FPGA validation. ICS (2019)
Bradley McDanel, Sai Qian Zhang, H. T. Kung, Xin Dong
Full-stack Optimization for Accelerating CNNs with FPGA Validation. CoRR (2019)
H. T. Kung, Bradley McDanel, Sai Qian Zhang, C. T. Wang, Jin Cai, C. Y. Chen, Victor C. Y. Chang, M. F. Chen, Jack Y. C. Sun, Douglas Yu
Systolic Building Block for Logic-on-Logic 3D-IC Implementations of Convolutional Neural Networks. ISCAS (2019)
Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, Wei Wang
RTN: Reparameterized Ternary Network. CoRR (2019)
Sai Qian Zhang, Qi Zhang, Jieyu Lin
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control. CoRR (2019)
H. T. Kung, Bradley McDanel, Sai Qian Zhang
Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations: Column Combining Under Joint Optimization. ASPLOS (2019)
Sai Qian Zhang, Qi Zhang, Jieyu Lin
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control. NeurIPS (2019)
H. T. Kung, Bradley McDanel, Sai Qian Zhang, Xin Dong, Chih-Chiang Chen
Maestro: A Memory-on-Logic Architecture for Coordinated Parallel Use of Many Systolic Arrays. ASAP (2019)
Sai Qian Zhang, H. T. Kung, Youngjune Gwon
InferBeam: A Fast Beam Alignment Protocol for Millimeter-wave Networking. CoRR (2018)
H. T. Kung, Bradley McDanel, Sai Qian Zhang
Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations: Column Combining Under Joint Optimization. CoRR (2018)
H. T. Kung, Bradley McDanel, Sai Qian Zhang
Adaptive Tiling: Applying Fixed-size Systolic Arrays To Sparse Convolutional Neural Networks. ICPR (2018)
H. T. Kung, Bradley McDanel, Sai Qian Zhang
Mapping Systolic Arrays onto 3D Circuit Structures: Accelerating Convolutional Neural Network Inference. SiPS (2018)
Sai Qian Zhang, Feng Xue, Nageen Himayat, Shilpa Talwar, H. T. Kung
A Machine Learning Assisted Cell Selection Method for Drones in Cellular Networks. SPAWC (2018)
Sai Qian Zhang, Qi Zhang, Ali Tizghadam, Byungchul Park, Hadi Bannazadeh, Raouf Boutaba, Alberto Leon-Garcia
TCAM space-efficient routing in a software defined network. Comput. Networks 125 (2017)
Sai Qian Zhang, Ali Tizghadam, Byungchul Park, Hadi Bannazadeh, Alberto Leon-Garcia
Joint NFV placement and routing for multicast service on SDN. NOMS (2016)
Sai Qian Zhang, Qi Zhang, Ali Tizghadam, Byungchul Park, Hadi Bannazadeh, Raouf Boutaba, Alberto Leon-Garcia
Sector: TCAM Space Aware Routing on SDN. ITC (2016)
Sai Qian Zhang, Qi Zhang, Hadi Bannazadeh, Alberto Leon-Garcia
Routing Algorithms for Network Function Virtualization Enabled Multicast Topology on SDN. IEEE Trans. Netw. Serv. Manag. 12 (4) (2015)
Qi Zhang, Sai Qian Zhang, Jieyu Lin, Hadi Bannazadeh, Alberto Leon-Garcia
Kaleidoscope: Real-time content delivery in software defined infrastructures. IM (2015)
Sai Qian Zhang, Pouya Yasrebi, Ali Tizghadam, Hadi Bannazadeh, Alberto Leon-Garcia
Fast Network Flow Resumption for Live Virtual Machine Migration on SDN. ICNP (2015)
Qi Zhang, Sai Qian Zhang, Alberto Leon-Garcia, Raouf Boutaba
Aurora: Adaptive Block Replication in Distributed File Systems. ICDCS (2015)
Sai Qian Zhang, Qi Zhang, Hadi Bannazadeh, Alberto Leon-Garcia
Network Function Virtualization enabled multicast routing on SDN. ICC (2015)