Dajiang Liu

According to our database, Dajiang Liu authored at least 48 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

IMTCN: An Interpretable Flight Safety Analysis and Prediction Model Based on Multi-Scale Temporal Convolutional Networks.

Xu Li, Jiaxing Shang, Linjiang Zheng, Qixing Wang, Dajiang Liu, Xiaodong Liu, Fan Li, Weiwei Cao, Hong Sun

IEEE Trans. Intell. Transp. Syst., January, 2024

SC-CGRA: An Energy-Efficient CGRA Using Stochastic Computing.

Di Mou, Bo Wang, Dajiang Liu

IEEE Trans. Parallel Distributed Syst., 2024

ARIS: Efficient Admitted Influence Maximizing in Large-Scale Networks Based on Valid Path Reverse Influence Sampling.

Xiaojuan Yang, Jiaxing Shang, Qinghong Hu, Dajiang Liu

IEEE Trans. Emerg. Top. Comput., 2024

BALQUE: Batch active learning by querying unstable examples with calibrated confidence.

Yincheng Han, Dajiang Liu, Jiaxing Shang, Linjiang Zheng, Jiang Zhong, Weiwei Cao, Hong Sun, Wu Xie

Pattern Recognit., 2024

E2EMap: End-to-End Reinforcement Learning for CGRA Compilation via Reverse Mapping.

Dajiang Liu, Yuxin Xia, Jiaxing Shang, Jiang Zhong, Peng Ouyang, Shouyi Yin

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

Optimizing Imperfectly-Nested Loop Mapping on CGRAs via Polyhedral-Guided Flattening.

Xingyu Mo, Yawen Li, Dajiang Liu

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

PMP: Pattern Morphing-based Memory Partitioning in High-Level Synthesis.

Dajiang Liu, Decai Pan, Xiao Xiong, Jiaxing Shang, Shouyi Yin

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

HMSG: Heterogeneous graph neural network based on Metapath SubGraph learning.

Mengya Guan, Xinjun Cai, Jiaxing Shang, Fei Hao, Dajiang Liu, Xianlong Jiao, Wancheng Ni

Knowl. Based Syst., November, 2023

Optimizing Memory Allocation for Multi-Subgraph Mapping on Spatial Accelerators.

Lei Lei, Decai Pan, Dajiang Liu, Peng Ouyang, Xueliang Du

Proceedings of the 16th ACM International Conference on Systems and Storage, 2023

DARIC: A Data Reuse-Friendly CGRA for Parallel Data Access via Elastic FIFOs.

Dajiang Liu, Di Mou, Rong Zhu, Yan Zhuang, Jiaxing Shang, Jiang Zhong, Shouyi Yin

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Optimizing Data Reuse for CGRA Mapping Using Polyhedral-based Loop Transformations.

Liao Huang, Dajiang Liu

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Towards High-Bandwidth-Utilization SpMV on FPGAs via Partial Vector Duplication.

Bowen Liu, Dajiang Liu

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022

HeDAN: Heterogeneous diffusion attention network for popularity prediction of online content.

Xueqi Jia, Jiaxing Shang, Dajiang Liu, Haidong Zhang, Wancheng Ni

Knowl. Based Syst., 2022

IM2Vec: Representation learning-based preference maximization in geo-social networks.

Ziwei Jin, Jiaxing Shang, Wancheng Ni, Liang Zhao, Dajiang Liu, Baohua Qiang, Wu Xie, Geyong Min

Inf. Sci., 2022

Social Information Popularity Prediction based on Heterogeneous Diffusion Attention Network.

Xueqi Jia, Jiaxing Shang, Linjiang Zheng, Dajiang Liu, Weiwei Cao, Hong Sun

Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering, 2022

ConCas: Cascade Popularity Prediction Based on Topic-Aware Graph Contrastive Learning.

Chen Ling, Xianren Zhang, Jiaxing Shang, Dajiang Liu, Yong Li, Wu Xie, Baohua Qiang

Proceedings of the Knowledge Science, Engineering and Management, 2022

Towards High-Quality CGRA Mapping with Graph Neural Networks and Reinforcement Learning.

Yan Zhuang, Zhihao Zhang, Dajiang Liu

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

RF-CGRA: A Routing-Friendly CGRA with Hierarchical Register Chains.

Rong Zhu, Bo Wang, Dajiang Liu

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

Towards Energy-Efficient CGRAs via Stochastic Computing.

Bo Wang, Rong Zhu, Jiaxing Shang, Dajiang Liu

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

CollaborateCas: Popularity Prediction of Information Cascades Based on Collaborative Graph Attention Networks.

Xianren Zhang, Jiaxing Shang, Xueqi Jia, Dajiang Liu, Fei Hao, Zhiqing Zhang

Proceedings of the Database Systems for Advanced Applications, 2022

2021

A dynamic critical path method for project scheduling based on a generalised fuzzy similarity.

Dajiang Liu, Changming Hu

J. Oper. Res. Soc., 2021

HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning.

Xinjun Cai, Jiaxing Shang, Fei Hao, Dajiang Liu, Linjiang Zheng

CoRR, 2021

RNe2Vec: information diffusion popularity prediction based on repost network embedding.

Jiaxing Shang, Shuo Huang, Dingyang Zhang, Zixuan Peng, Dajiang Liu, Yong Li, Lexi Xu

Computing, 2021

Accepted Influence Maximization under Linear Threshold Model on Large-Scale Social Networks.

Xiaojuan Yang, Jiaxing Shang, Linjiang Zheng, Dajiang Liu, Shu Fu, Baohua Qiang

Proceedings of the 20th IEEE International Conference on Trust, 2021

BaCIM: Balanced Competitive Influence Maximization based on Blocked Reverse Influence Sampling.

Shuang Gao, Wu Xie, Jiaxing Shang, Dajiang Liu, Baohua Qiang

Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021

Dynamic Convolution Pruning Using Pooling Characteristic in Convolution Neural Networks.

Yu Zhang, Dajiang Liu, Yongkang Xing

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Polyhedral-based Pipelining of Imperfectly-Nested Loop for CGRAs.

Dajiang Liu, Ting Liu, Xingyu Mo, Jiaxing Shang, Shouyi Yin

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

2020

Adversarial Metric Learning with Naive Similarity Discriminator.

Yi-Ze Le, Yong Feng, Dajiang Liu, Baohua Qiang

IEICE Trans. Inf. Syst., 2020

FRWCAE: joint faster-RCNN and Wasserstein convolutional auto-encoder for instance retrieval.

Yi-yang Zhang, Yong Feng, Dajiang Liu, Jiaxing Shang, Baohua Qiang

Appl. Intell., 2020

A Deep Sequence-to-Sequence Method for Aircraft Landing Speed Prediction Based on QAR Data.

Zongwei Kang, Jiaxing Shang, Yong Feng, Linjiang Zheng, Dajiang Liu, Baohua Qiang, Ran Wei

Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

2019

Data-Flow Graph Mapping Optimization for CGRA With Deep Reinforcement Learning.

Dajiang Liu, Shouyi Yin, Guojie Luo, Jiaxing Shang, Leibo Liu, Shaojun Wei, Yong Feng, Shangbo Zhou

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

CurveCluster: Automated Recognition of Hard Landing Patterns Based on QAR Curve Clustering.

Xu Li, Jiaxing Shang, Linjiang Zheng, Dajiang Liu, Lin Qi, Liu Liu

Proceedings of the 2019 IEEE SmartWorld, 2019

2017

Conflict-Free Loop Mapping for Coarse-Grained Reconfigurable Architecture with Multi-Bank Memory.

Shouyi Yin, Xianqing Yao, Tianyi Lu, Dajiang Liu, Jiangyuan Gu, Leibo Liu, Shaojun Wei

IEEE Trans. Parallel Distributed Syst., 2017

DFGNet: Mapping dataflow graph onto CGRA by a deep learning approach.

Shouyi Yin, Dajiang Liu, Lifeng Sun, Leibo Liu, Shaojun Wei

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Learning Convolutional Neural Networks for Data-Flow Graph Mapping on Spatial Programmable Architectures (Abstract Only).

Shouyi Yin, Dajiang Liu, Lifeng Sun, Xinhan Lin, Leibo Liu, Shaojun Wei

Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2017

2016

Memory-Aware Loop Mapping on Coarse-Grained Reconfigurable Architectures.

Shouyi Yin, Xianqing Yao, Dajiang Liu, Leibo Liu, Shaojun Wei

IEEE Trans. Very Large Scale Integr. Syst., 2016

Improving Nested Loop Pipelining on Coarse-Grained Reconfigurable Architectures.

Shouyi Yin, Dajiang Liu, Yu Peng, Leibo Liu, Shaojun Wei

IEEE Trans. Very Large Scale Integr. Syst., 2016

Joint Modulo Scheduling and V_dd Assignment for Loop Mapping on Dual- V_dd CGRAs.

Shouyi Yin, Jiangyuan Gu, Dajiang Liu, Leibo Liu, Shaojun Wei

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016

2015

Optimizing Spatial Mapping of Nested Loop for Coarse-Grained Reconfigurable Architectures.

Dajiang Liu, Shouyi Yin, Yu Peng, Leibo Liu, Shaojun Wei

IEEE Trans. Very Large Scale Integr. Syst., 2015

Mapping Multi-Level Loop Nests onto CGRAs Using Polyhedral Optimizations.

Dajiang Liu, Shouyi Yin, Leibo Liu, Shaojun Wei

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015

Joint affine transformation and loop pipelining for mapping nested loop on CGRAs.

Shouyi Yin, Dajiang Liu, Leibo Liu, Shaojun Wei, Yike Guo

Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

2014

RAREMETAL: fast and powerful meta-analysis for rare variants.

Shuang Feng, Dajiang Liu, Xiaowei Zhan, Mary Kate Wing, Gonçalo R. Abecasis

Bioinform., 2014

Exploiting Outer Loop Parallelism of Nested Loop on Coarse-Grained Reconfigurable Architectures.

Dajiang Liu, Shouyi Yin, Leibo Liu, Shaojun Wei

Proceedings of the 22nd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2014

2013

Affine Transformations for Communication and Reconfiguration Optimization of Mapping Loop Nests on CGRAs.

Shouyi Yin, Dajiang Liu, Leibo Liu, Shaojun Wei

IEICE Trans. Inf. Syst., 2013

Affine transformations for communication and reconfiguration optimization of loops on CGRAs.

Dajiang Liu, Shouyi Yin, Leibo Liu, Shaojun Wei

Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013

Polyhedral model based mapping optimization of loop nests for CGRAs.

Dajiang Liu, Shouyi Yin, Leibo Liu, Shaojun Wei

Proceedings of the 50th Annual Design Automation Conference 2013, 2013

2012

Mapping Optimization of Affine Loop Nests for Reconfigurable Computing Architecture.

Dajiang Liu, Shouyi Yin, Chongyong Yin, Leibo Liu, Shaojun Wei

IEICE Trans. Inf. Syst., 2012

2005

From Atomic Scale Ordering to Mesoscale Spatial Patterns in Surface Reactions: A Heterogeneous Coupled Lattice-Gas Simulation Approach.

Dajiang Liu, James W. Evans

Multiscale Model. Simul., 2005