Weiwen Jiang

发表

Towards Sparsification of Graph Neural Networks

O. Khan, Tong Geng, Caiwen Ding, 2022, 2209.04766.

Towards Sparsification of Graph Neural Networks

O. Khan, Tong Geng, Caiwen Ding, 2022, 2209.04766.

Towards Real-Time Temporal Graph Learning

O. Khan, Tong Geng, Caiwen Ding, 2022, 2022 IEEE 40th International Conference on Computer Design (ICCD).

Xuehai Qian, Yiyu Shi, Yongshan Ding, 2022, 2022 IEEE International Conference on Quantum Computing and Engineering (QCE).

Quantum Neural Network Compression

Youzuo Lin, Peiyan Dong, Yanzhi Wang, 2022, 2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD).

QuEst: Graph Transformer for Quantum Circuit Reliability Estimation

Xuehai Qian, Yiyu Shi, D. Pan, 2022, ArXiv.

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

J. Bi, Tong Geng, Caiwen Ding, 2022, DAC.

Graph Transformer for Quantum Circuit Reliability Prediction

Xuehai Qian, Yiyu Shi, D. Pan, 2022 .

On the Design of Quantum Graph Convolutional Neural Network in the NISQ-Era and Beyond

O. Khan, Tong Geng, Caiwen Ding, 2022, 2022 IEEE 40th International Conference on Computer Design (ICCD).

VACSEN: A Visualization Approach for Noise Awareness in Quantum Computing

Y. Mao, Yong Wang, Shaolun Ruan, 2022, IEEE Transactions on Visualization and Computer Graphics.

Hardware design and the competency awareness of a neural network

X. Hu, Jinjun Xiong, Yiyu Shi, 2020, Nature Electronics.

MS-NAS: Multi-Scale Neural Architecture Search for Medical Image Segmentation pdf

Weiwen Jiang, Cheng Zhuo, Yiyu Shi, 2020, MICCAI.

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).

DIAN: Differentiable Accelerator-Network Co-Search Towards Maximal DNN Efficiency

Chaojian Li, Vikas Chandra, Haoran You, 2021, 2021 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED).

When Machine Learning Meets Quantum Computers: A Case Study pdf

Jinjun Xiong, Weiwen Jiang, Yiyu Shi, 2020, 2021 26th Asia and South Pacific Design Automation Conference (ASP-DAC).

DNA: Differentiable Network-Accelerator Co-Search pdf

Chaojian Li, Yingyan Lin, Meng Li, 2020, ArXiv.

Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks

Meng Li, Weiwen Jiang, Hyoukjun Kwon, 2020, 2020 57th ACM/IEEE Design Automation Conference (DAC).

Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs: (Invited Paper)

Jinjun Xiong, Yiyu Shi, Shanglin Zhou, 2021, 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD).

A co-design framework of neural networks and quantum circuits towards quantum advantage

Jinjun Xiong, Weiwen Jiang, Yiyu Shi, 2020, Nature Communications.

Can Quantum Computers Learn Like Classical Computers? A Co-Design Framework for Machine Learning and Quantum Circuits pdf

Jinjun Xiong, Weiwen Jiang, Yiyu Shi, 2020, ArXiv.

The larger the fairer?: small neural networks can achieve fairness for edge devices

Yiyu Shi, Jingtong Hu, Lei Yang, 2022, DAC.

Achieving Full Parallelism in LSTM via a Unified Accelerator Design

Jingtong Hu, Weiwen Jiang, Xinyi Zhang, 2020, 2020 IEEE 38th International Conference on Computer Design (ICCD).

RADARS: Memory Efficient Reinforcement Learning Aided Differentiable Neural Architecture Search pdf

Yiyu Shi, Xiaobo Sharon Hu, Weiwen Jiang, 2021, 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC).

Achieving Super-Linear Speedup across Multi-FPGA for Real-Time DNN Inference

Yiyu Shi, Edwin H.-M. Sha, Qingfeng Zhuge, 2019, ACM Trans. Embed. Comput. Syst..

When Neural Architecture Search Meets Hardware Implementation: from Hardware Awareness to Co-Design

Jingtong Hu, Xinyi Zhang, Yiyu Shi, 2019, 2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI).

Optimal functional-unit assignment and buffer placement for probabilistic pipelines

Edwin Hsing-Mean Sha, Qingfeng Zhuge, Weiwen Jiang, 2016, 2016 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS).

Co-Exploring Neural Architecture and Network-on-Chip Design for Real-Time Artificial Intelligence

Jingtong Hu, Weichen Liu, Weiwen Jiang, 2020, 2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC).

On-Device Unsupervised Image Segmentation

Yu-zhao Zhang, Yi Sheng, Weiwen Jiang, 2023, 2023 60th ACM/IEEE Design Automation Conference (DAC).

Toward Fair and Efficient Hyperdimensional Computing

Lei Yang, Yi Sheng, Weiwen Jiang, 2023, Asia and South Pacific Design Automation Conference.

Automated Architecture Search for Brain-inspired Hyperdimensional Computing

M. Paige, K. Foreman, Lei Yang, 2022, ArXiv.

Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search With Hot Start

Jingtong Hu, Weiwen Jiang, Sakyasingha Dasgupta, 2020, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Hardware/Software Co-Exploration of Neural Architectures

Yiyu Shi, Edwin H.-M. Sha, Shouzhen Gu, 2019, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Search

Lei Yang, Yiyu Shi, Edwin Hsing-Mean Sha, 2019, 2019 56th ACM/IEEE Design Automation Conference (DAC).

Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow (Invited Paper)

Jinjun Xiong, Lei Yang, Weiwen Jiang, 2021, 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD).

Towards Sparsification of Graph Neural Networks

O. Khan, Tong Geng, Caiwen Ding, 2022, 2022 IEEE 40th International Conference on Computer Design (ICCD).

Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search (Special Session Paper)

Hang Liu, Jinbo Bi, Hongwu Peng, 2021, 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD).

A mining pool solution for novel proof-of-neural-architecture consensus

Yiyu Shi, Taeho Jung, Weiwen Jiang, 2021, 2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC).

Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators

X. Hu, Yiyu Shi, J. Hu, 2019, IEEE Transactions on Computers.

On Neural Architecture Search for Resource-Constrained Hardware Platforms pdf

Jingtong Hu, Weiwen Jiang, Qing Lu, 2019, ArXiv.

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).

Towards Cardiac Intervention Assistance: Hardware-aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation

Jingtong Hu, Weiwen Jiang, Jian Zhuang, 2020, 2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD).

NASS: Optimizing Secure Inference via Neural Architecture Search

Takashi Sato, Weiwen Jiang, Qing Lu, 2020, ECAI.

Heterogeneous FPGA-Based Cost-Optimal Design for Timing-Constrained CNNs

Edwin Hsing-Mean Sha, Qingfeng Zhuge, Jingtong Hu, 2018, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search

Yiyu Shi, Jianyi Yang, Bingqian Lu, 2021, Proc. ACM Meas. Anal. Comput. Syst..

FL-DISCO: Federated Generative Adversarial Network for Graph-based Molecule Drug Discovery: Special Session Paper

Tong Geng, Caiwen Ding, Ang Li, 2021, 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD).

RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions pdf

Sung-En Chang, Yanzhi Wang, Yanyu Li, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

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

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

On the Design of Minimal-Cost Pipeline Systems Satisfying Hard/Soft Real-Time Constraints

Edwin Hsing-Mean Sha, Qingfeng Zhuge, Lei Yang, 2021, IEEE Transactions on Emerging Topics in Computing.

BUNET: Blind Medical Image Segmentation Based on Secure UNET

Xiaowei Xu, Takashi Sato, Weiwen Jiang, 2020, MICCAI.

Integrating memristors and CMOS for better AI

Bike Xie, Weiwen Jiang, Yiyu Shi, 2019, Nature Electronics.

On the Design of Time-Constrained and Buffer-Optimal Self-Timed Pipelines

Qingfeng Zhuge, Jingtong Hu, Weiwen Jiang, 2019, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Thermal-Aware Task Mapping on Dynamically Reconfigurable Network-on-Chip Based Multiprocessor System-on-Chip

Wei Zhang, Nikil Dutt, Weichen Liu, 2018, IEEE Transactions on Computers.

On the Design of Reliable Heterogeneous Systems via Checkpoint Placement and Core Assignment

Edwin Hsing-Mean Sha, Qingfeng Zhuge, Lei Yang, 2018, ACM Great Lakes Symposium on VLSI.

Towards the Design of Efficient and Consistent Index Structure with Minimal Write Activities for Non-Volatile Memory

Edwin Hsing-Mean Sha, Qingfeng Zhuge, Weiwen Jiang, 2018, IEEE Transactions on Computers.

Optimal Functional-Unit Assignment for Heterogeneous Systems Under Timing Constraint

Lei Zhou, Edwin Hsing-Mean Sha, Qingfeng Zhuge, 2017, IEEE Transactions on Parallel and Distributed Systems.

FoToNoC: A Folded Torus-Like Network-on-Chip Based Many-Core Systems-on-Chip in the Dark Silicon Era

Edwin Hsing-Mean Sha, Peng Chen, Weichen Liu, 2017, IEEE Transactions on Parallel and Distributed Systems.

Optimal functional unit assignment and voltage selection for pipelined MPSoC with guaranteed probability on time performance

Edwin Hsing-Mean Sha, Qingfeng Zhuge, Weiwen Jiang, 2017, LCTES.

Efficient assignment algorithms to minimize operation cost for supply chain networks in agile manufacturing

Lin Wu, Edwin Hsing-Mean Sha, Qingfeng Zhuge, 2017, Comput. Ind. Eng..

Synthesizing distributed pipelining systems with timing constraints via optimal functional unit assignment and communication selection

Lin Wu, Edwin Hsing-Mean Sha, Qingfeng Zhuge, 2017, J. Comput. Sci..

Optimizing Data Placement of MapReduce on Ceph-Based Framework under Load-Balancing Constraint

Edwin Hsing-Mean Sha, Qingfeng Zhuge, Weiwen Jiang, 2016, 2016 IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS).

Application Mapping and Scheduling for Network-on-Chip-Based Multiprocessor System-on-Chip With Fine-Grain Communication Optimization

Edwin Hsing-Mean Sha, Juan Yi, Weichen Liu, 2016, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

A New Design of In-Memory File System Based on File Virtual Address Framework

Edwin Hsing-Mean Sha, Liang Shi, Qingfeng Zhuge, 2016, IEEE Transactions on Computers.

Efficient Data Placement for Improving Data Access Performance on Domain-Wall Memory

Edwin Hsing-Mean Sha, Yuangang Wang, Qingfeng Zhuge, 2016, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

Optimal Functional Assignment and Communication Selection under Timing Constraint for Self-Timed Pipelines

Lin Wu, Edwin Hsing-Mean Sha, Qingfeng Zhuge, 2016, 2016 13th International Conference on Embedded Software and Systems (ICESS).

Properties of Self-Timed Ring Architectures for Deadlock-Free and Consistent Configuration Reaching Maximum Throughput

Edwin Hsing-Mean Sha, Qingfeng Zhuge, Juan Yi, 2016, J. Signal Process. Syst..

FoToNoC: A hierarchical management strategy based on folded lorus-like Network-on-Chip for dark silicon many-core systems

Edwin Hsing-Mean Sha, Juan Yi, Weichen Liu, 2016, 2016 21st Asia and South Pacific Design Automation Conference (ASP-DAC).

Prevent Deadlock and Remove Blocking for Self-Timed Systems

Edwin Hsing-Mean Sha, Qingfeng Zhuge, Lei Yang, 2015, ICA3PP.

On the Design of High-Performance and Energy-Efficient Probabilistic Self-Timed Systems

Edwin Hsing-Mean Sha, Qingfeng Zhuge, Lei Yang, 2015, 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security, and 2015 IEEE 12th International Conference on Embedded Software and Systems.

Designing an efficient persistent in-memory file system

Edwin Hsing-Mean Sha, Liang Shi, Qingfeng Zhuge, 2015, 2015 IEEE Non-Volatile Memory System and Applications Symposium (NVMSA).

On self-timed ring for consistent mapping and maximum throughput

Edwin Hsing-Mean Sha, Qingfeng Zhuge, Juan Yi, 2014, 2014 IEEE 20th International Conference on Embedded and Real-Time Computing Systems and Applications.

Iterative Qubits Management for Quantum Index Searching in a Hybrid System

Y. Mao, Long Cheng, Qingle Wang, 2022, 2022 IEEE International Performance, Computing, and Communications Conference (IPCCC).

Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework

Mengshu Sun, Wei Niu, Yanzhi Wang, 2022, ACM Trans. Embed. Comput. Syst..

MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework

Runbin Shi, Yanzhi Wang, Xue Lin, 2020, ArXiv.

Contention-aware task and communication co-scheduling for network-on-chip based Multiprocessor System-on-Chip

Qingfeng Zhuge, Juan Yi, Weichen Liu, 2014, 2014 IEEE 20th International Conference on Embedded and Real-Time Computing Systems and Applications.

TorchQuantum Case Study for Robust Quantum Circuits

Yiyu Shi, D. Pan, Yongshan Ding, 2022, International Conference on Computer Aided Design.

Detecting Gender Bias in Transformer-based Models: A Case Study on BERT pdf

Hang Liu, Hongwu Peng, Rajat Sainju, 2021, ArXiv.

Hardware-software collaboration for dark silicon heterogeneous many-core systems

Chao Chen, Edwin H.-M. Sha, Weichen Liu, 2017, Future Gener. Comput. Syst..

Isolation of Physical and Logical Views of Dark-Silicon Many-Core Systems for Reliability and Performance Co-Optimization

Lei Yang, Weichen Liu, Mengquan Li, 2015 .

Refinery swap: An efficient swap mechanism for hybrid DRAM-NVM systems

Edwin Hsing-Mean Sha, Ting Wu, Qingfeng Zhuge, 2017, Future Gener. Comput. Syst..

Muffin: A Framework Toward Multi-Dimension AI Fairness by Uniting Off-the-Shelf Models

Yiyu Shi, J. Hu, Yi Sheng, 2023, 2023 60th ACM/IEEE Design Automation Conference (DAC).

A unified framework for designing high performance in-memory and hybrid memory file systems

Edwin Hsing-Mean Sha, Jun Chen, Jun Xu, 2016, J. Syst. Archit..

All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management

Caiwen Ding, Minghai Qin, Pu Zhao, 2022, 2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD).

An Improved Thermal Model for Static Optimization of Application Mapping and Scheduling in Multiprocessor System-on-Chip

Edwin Hsing-Mean Sha, Juan Yi, Weichen Liu, 2014, 2014 IEEE Computer Society Annual Symposium on VLSI.

Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework

Jun Liu, Yanzhi Wang, Geng Yuan, 2022, ACM Trans. Embed. Comput. Syst..

Privacy-Preserving Medical Image Segmentation via Hybrid Trusted Execution Environment

Weiwen Jiang, Takashi Sato, Song Bian, 2021, 2021 58th ACM/IEEE Design Automation Conference (DAC).

Quantization Through Search: A Novel Scheme to Quantize Convolutional Neural Networks in Finite Weight Space

Yiyu Shi, Jingtong Hu, Xiaowei Xu, 2023, 2023 28th Asia and South Pacific Design Automation Conference (ASP-DAC).