Caiwen Ding

发表

Dynamic converter reconfiguration for near-threshold non-volatile processors using in-door energy harvesting

Jingtong Hu, Hongjia Li, Yanzhi Wang, 2016, 2016 IEEE 34th International Conference on Computer Design (ICCD).

Softmax Regression Design for Stochastic Computing Based Deep Convolutional Neural Networks

Ji Li, Qinru Qiu, Yanzhi Wang, 2017, ACM Great Lakes Symposium on VLSI.

Deep Compressed Pneumonia Detection for Low-Power Embedded Devices pdf

Hongjia Li, Yanzhi Wang, Caiwen Ding, 2019, LABELS/HAL-MICCAI/CuRIOUS@MICCAI.

Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks Using Stochastic Computing

Ji Li, Qinru Qiu, Yanzhi Wang, 2018, 2018 IEEE Computer Society Annual Symposium on VLSI (ISVLSI).

Multi-source in-door energy harvesting for non-volatile processors

Jingtong Hu, Yanzhi Wang, Yongpan Liu, 2016, 2016 IEEE International Symposium on Circuits and Systems (ISCAS).

Luminescent solar concentrator-based photovoltaic reconfiguration for hybrid and plug-in electric vehicles

Naehyuck Chang, Hongjia Li, Yanzhi Wang, 2016, 2016 IEEE 34th International Conference on Computer Design (ICCD).

A Unified DNN Weight Compression Framework Using Reweighted Optimization Methods pdf

Yanzhi Wang, Fei Sun, Xiaolong Ma, 2020, ArXiv.

SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing

Qinru Qiu, Yanzhi Wang, Bo Yuan, 2016, ASPLOS.

A Fast and Effective Memristor-Based Method for Finding Approximate Eigenvalues and Eigenvectors of Non-negative Matrices

Yanzhi Wang, Sucheta Soundarajan, Caiwen Ding, 2018, 2018 IEEE Computer Society Annual Symposium on VLSI (ISVLSI).

Achieving Real-Time Execution of Transformer-based Large-scale Models on Mobile with Compiler-aware Neural Architecture Optimization pdf

Yanzhi Wang, Pu Zhao, Caiwen Ding, 2020, ArXiv.

SAPAG: A Self-Adaptive Privacy Attack From Gradients pdf

Dan Guo, Caiwen Ding, Chenghong Wang, 2020, ArXiv.

Neural network-based prediction algorithms for in-door multi-source energy harvesting system for non-volatile processors

Jingtong Hu, Yanzhi Wang, Ning Liu, 2016, 2016 International Great Lakes Symposium on VLSI (GLSVLSI).

Towards acceleration of deep convolutional neural networks using stochastic computing

Ji Li, Qinru Qiu, Yanzhi Wang, 2017, 2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC).

Towards an Efficient and General Framework of Robust Training for Graph Neural Networks

Kaidi Xu, Bhavya Kailkhura, Xue Lin, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Surrogate Lagrangian Relaxation-based Model Compression for Deep Neural Networks pdf

Caiwen Ding, Shanglin Zhou, Bingbing Li, 2020, ArXiv.

MCMIA: Model Compression Against Membership Inference Attack in Deep Neural Networks pdf

Caiwen Ding, Jinbo Bi, Chenghong Wang, 2020, ArXiv.

FTDL: A Tailored FPGA-Overlay for Deep Learning with High Scalability

Hang Liu, He Li, Hayden Kwok-Hay So, 2020, 2020 57th ACM/IEEE Design Automation Conference (DAC).

FTRANS: energy-efficient acceleration of transformers using FPGA

Ji Li, Jieyang Chen, Caiwen Ding, 2020, ISLPED.

E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs

Wenyao Xu, Qinru Qiu, Chang Liu, 2018, 2019 IEEE International Symposium on High Performance Computer Architecture (HPCA).

Session details: Session: High-Level Abstractions and Tools I

Caiwen Ding, 2020 .

CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-Circulant Weight Matrices

Chao Wang, Yu Bai, Qinru Qiu, 2017, 2017 50th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO).

HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks

Ji Li, Qinru Qiu, Yanzhi Wang, 2019, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

FaceGANs: Stable Generative Adversarial Networks with High-Quality Images

Yanzhi Wang, Caiwen Ding, Zheng Zhan, 2018 .

Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework pdf

Qinru Qiu, Yanzhi Wang, Xuehai Qian, 2018, AAAI.

Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks

Ji Li, Qinru Qiu, Yanzhi Wang, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Multisource Indoor Energy Harvesting for Nonvolatile Processors

Jingtong Hu, Ji Li, Ning Liu, 2017, IEEE Design & Test.

Prediction-based fast thermoelectric generator reconfiguration for energy harvesting from vehicle radiators

Ji Li, Shahin Nazarian, Naehyuck Chang, 2018, 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE).

VIBNN: Hardware Acceleration of Bayesian Neural Networks

Massoud Pedram, Yanzhi Wang, Xuehai Qian, 2018, ASPLOS.

Learning Topics Using Semantic Locality

Qinru Qiu, Yanzhi Wang, Zhe Li, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs

Yun Liang, Yanzhi Wang, Ning Liu, 2019, FPGA.

Efficient Recurrent Neural Networks using Structured Matrices in FPGAs pdf

Yun Liang, Qinru Qiu, Yanzhi Wang, 2018, ICLR.

A SOT-MRAM-based Processing-In-Memory Engine for Highly Compressed DNN Implementation pdf

Caiwen Ding, Sheng Lin, Xiaolong Ma, 2019, ArXiv.

C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs

Qinru Qiu, Yanzhi Wang, Bo Yuan, 2018, FPGA.

Reconfigurable thermoelectric generators for vehicle radiators energy harvesting

Naehyuck Chang, Donghwa Shin, Yanzhi Wang, 2017, 2017 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED).

FTDL: An FPGA-tailored Architecture for Deep Learning Systems

Runbin Shi, Caiwen Ding, Xuechao Wei, 2020, FPGA.

Reconfigurable Photovoltaic Systems for Electric Vehicles

Hongjia Li, Yanzhi Wang, Xue Lin, 2018, IEEE Design & Test.

Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation

Yanzhi Wang, Xiaolong Ma, Wujie Wen, 2019, 2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC).

A Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron Superconducting Technology

Yanzhi Wang, Nobuyuki Yoshikawa, Xuehai Qian, 2019, 2019 ACM/IEEE 46th Annual International Symposium on Computer Architecture (ISCA).

Real-Time Execution of Large-scale Language Models on Mobile.

Yanzhi Wang, Pu Zhao, Caiwen Ding, 2020 .

FFT-based deep learning deployment in embedded systems

Massoud Pedram, Hongjia Li, Yanzhi Wang, 2017, 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE).

Normalization and dropout for stochastic computing-based deep convolutional neural networks

Shahin Nazarian, Qinru Qiu, Yanzhi Wang, 2019, Integr..

Algorithm accelerations for luminescent solar concentrator-enhanced reconfigurable onboard photovoltaic system

Ji Li, Naehyuck Chang, Yanzhi Wang, 2017, 2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC).

A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework

Yifan Gong, Yanzhi Wang, Wei Niu, 2020, ACM Great Lakes Symposium on VLSI.

An Efficient Deep Reinforcement Learning Framework for UAVs

Lu Lu, Caiwen Ding, Shanglin Zhou, 2020, 2020 21st International Symposium on Quality Electronic Design (ISQED).

An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM

Yanzhi Wang, Xiaolong Ma, Sucheta Soundarajan, 2019, 2019 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED).

Structured Weight Matrices-Based Hardware Accelerators in Deep Neural Networks: FPGAs and ASICs

Jiayu Li, Yanzhi Wang, Ning Liu, 2018, ACM Great Lakes Symposium on VLSI.

Design and Analysis of a Labview and Arduino-Based Automatic Solar Tracking System

Caiwen Ding, 2015 .

A Majority Logic Synthesis Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits

Yanzhi Wang, Nobuyuki Yoshikawa, Ning Liu, 2019, ACM Great Lakes Symposium on VLSI.

Memristor crossbar-based ultra-efficient next-generation baseband processors

Bo Yuan, Xiaolong Ma, Caiwen Ding, 2017, 2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS).

Multi-source energy harvesting management and optimization for non-volatile processors

Jingtong Hu, Yanzhi Wang, Yongpan Liu, 2015, 2015 Sixth International Green and Sustainable Computing Conference (IGSC).

Dynamic Reconfiguration of Thermoelectric Generators for Vehicle Radiators Energy Harvesting Under Location-Dependent Temperature Variations

Naehyuck Chang, Donghwa Shin, Jaemin Kim, 2018, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

ESMFL: Efficient and Secure Models for Federated Learning pdf

Yanzhi Wang, Caiwen Ding, Sheng Lin, 2020, ArXiv.

Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning

Ji Li, Caiwen Ding, Tianyun Zhang, 2020, FINDINGS.

An End-to-end Multi-task Object Detection using Embedded GPU in Autonomous Driving

Caiwen Ding, Shanglin Zhou, Mimi Xie, 2021, 2021 22nd International Symposium on Quality Electronic Design (ISQED).

Trust: Triangle Counting Reloaded on GPUs

Hang Liu, Adolfy Hoisie, Chen Tian, 2021, IEEE Transactions on Parallel and Distributed Systems.

A Compression-Compilation Framework for On-mobile Real-time BERT Applications

Pu Zhao, Sijia Liu, Caiwen Ding, 2021, IJCAI.

FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator

Hang Liu, Xuehai Qian, Xiaolong Ma, 2021, 2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture (ISCA).

Against Membership Inference Attack: Pruning is All You Need

Hang Liu, Sanguthevar Rajasekaran, Jinbo Bi, 2020, IJCAI.

Dancing along Battery: Enabling Transformer with Run-time Reconfigurability on Mobile Devices

Yiyu Shi, Edwin Hsing-Mean Sha, Qingfeng Zhuge, 2021, 2021 58th ACM/IEEE Design Automation Conference (DAC).

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

Hang Liu, Caiwen Ding, Hongwu Peng, 2021, 2021 22nd International Symposium on Quality Electronic Design (ISQED).

Design, Sensing, and Control of a Novel UAV Platform for Aerial Drilling and Screwing

Lu Lu, Caiwen Ding, Caiwu Ding, 2021, IEEE Robotics and Automation Letters.

Co-Exploration of Graph Neural Network and Network-on-Chip Design Using AutoML

Caiwen Ding, Lei Yang, Shaoyi Huang, 2021, ACM Great Lakes Symposium on VLSI.

HMC-TRAN: A Tensor-core Inspired Hierarchical Model Compression for Transformer-based DNNs on GPU

Hang Liu, Caiwen Ding, Hongwu Peng, 2021, ACM Great Lakes Symposium on VLSI.

TAG: Transformer Attack from Gradient pdf

Hang Liu, Sanguthevar Rajasekaran, Caiwen Ding, 2021, ArXiv.