Dajiang Liu

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 35

Top Topics

Affine Transform

Reinforcement Learning

Top Venues

IEEE Trans. Very Large Scale Integr. Syst.

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

Publications

Yincheng Han, Dajiang Liu, Jiaxing Shang, Linjiang Zheng, Jiang Zhong, Weiwei Cao, Hong Sun, Wu Xie
BALQUE: Batch active learning by querying unstable examples with calibrated confidence. Pattern Recognit. 151 (2024)
Xingyu Mo, Yawen Li, Dajiang Liu
Optimizing Imperfectly-Nested Loop Mapping on CGRAs via Polyhedral-Guided Flattening. DATE (2024)
Xu Li, Jiaxing Shang, Linjiang Zheng, Qixing Wang, Dajiang Liu, Xiaodong Liu, Fan Li, Weiwei Cao, Hong Sun
IMTCN: An Interpretable Flight Safety Analysis and Prediction Model Based on Multi-Scale Temporal Convolutional Networks. IEEE Trans. Intell. Transp. Syst. 25 (1) (2024)
Dajiang Liu, Yuxin Xia, Jiaxing Shang, Jiang Zhong, Peng Ouyang, Shouyi Yin
E2EMap: End-to-End Reinforcement Learning for CGRA Compilation via Reverse Mapping. HPCA (2024)
Mengya Guan, Xinjun Cai, Jiaxing Shang, Fei Hao, Dajiang Liu, Xianlong Jiao, Wancheng Ni
HMSG: Heterogeneous graph neural network based on Metapath SubGraph learning. Knowl. Based Syst. 279 (2023)
Dajiang Liu, Di Mou, Rong Zhu, Yan Zhuang, Jiaxing Shang, Jiang Zhong, Shouyi Yin
DARIC: A Data Reuse-Friendly CGRA for Parallel Data Access via Elastic FIFOs. DAC (2023)
Liao Huang, Dajiang Liu
Optimizing Data Reuse for CGRA Mapping Using Polyhedral-based Loop Transformations. DAC (2023)
Bowen Liu, Dajiang Liu
Towards High-Bandwidth-Utilization SpMV on FPGAs via Partial Vector Duplication. ASP-DAC (2023)
Lei Lei, Decai Pan, Dajiang Liu, Peng Ouyang, Xueliang Du
Optimizing Memory Allocation for Multi-Subgraph Mapping on Spatial Accelerators. SYSTOR (2023)
Bo Wang, Rong Zhu, Jiaxing Shang, Dajiang Liu
Towards Energy-Efficient CGRAs via Stochastic Computing. DATE (2022)
Xueqi Jia, Jiaxing Shang, Dajiang Liu, Haidong Zhang, Wancheng Ni
HeDAN: Heterogeneous diffusion attention network for popularity prediction of online content. Knowl. Based Syst. 254 (2022)
Yan Zhuang, Zhihao Zhang, Dajiang Liu
Towards High-Quality CGRA Mapping with Graph Neural Networks and Reinforcement Learning. ICCAD (2022)
Xianren Zhang, Jiaxing Shang, Xueqi Jia, Dajiang Liu, Fei Hao, Zhiqing Zhang
CollaborateCas: Popularity Prediction of Information Cascades Based on Collaborative Graph Attention Networks. DASFAA (1) (2022)
Xueqi Jia, Jiaxing Shang, Linjiang Zheng, Dajiang Liu, Weiwei Cao, Hong Sun
Social Information Popularity Prediction based on Heterogeneous Diffusion Attention Network. SEKE (2022)
Ziwei Jin, Jiaxing Shang, Wancheng Ni, Liang Zhao, Dajiang Liu, Baohua Qiang, Wu Xie, Geyong Min
IM2Vec: Representation learning-based preference maximization in geo-social networks. Inf. Sci. 604 (2022)
Chen Ling, Xianren Zhang, Jiaxing Shang, Dajiang Liu, Yong Li, Wu Xie, Baohua Qiang
ConCas: Cascade Popularity Prediction Based on Topic-Aware Graph Contrastive Learning. KSEM (1) (2022)
Rong Zhu, Bo Wang, Dajiang Liu
RF-CGRA: A Routing-Friendly CGRA with Hierarchical Register Chains. DATE (2022)
Xinjun Cai, Jiaxing Shang, Fei Hao, Dajiang Liu, Linjiang Zheng
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning. CoRR (2021)
Yu Zhang, Dajiang Liu, Yongkang Xing
Dynamic Convolution Pruning Using Pooling Characteristic in Convolution Neural Networks. ICONIP (5) (2021)
Dajiang Liu, Ting Liu, Xingyu Mo, Jiaxing Shang, Shouyi Yin
Polyhedral-based Pipelining of Imperfectly-Nested Loop for CGRAs. ICCAD (2021)
Jiaxing Shang, Shuo Huang, Dingyang Zhang, Zixuan Peng, Dajiang Liu, Yong Li, Lexi Xu
RNe2Vec: information diffusion popularity prediction based on repost network embedding. Computing 103 (2) (2021)
Xiaojuan Yang, Jiaxing Shang, Linjiang Zheng, Dajiang Liu, Shu Fu, Baohua Qiang
Accepted Influence Maximization under Linear Threshold Model on Large-Scale Social Networks. TrustCom (2021)
Dajiang Liu, Changming Hu
A dynamic critical path method for project scheduling based on a generalised fuzzy similarity. J. Oper. Res. Soc. 72 (2) (2021)
Shuang Gao, Wu Xie, Jiaxing Shang, Dajiang Liu, Baohua Qiang
BaCIM: Balanced Competitive Influence Maximization based on Blocked Reverse Influence Sampling. MDM (2021)
Yi-Ze Le, Yong Feng, Dajiang Liu, Baohua Qiang
Adversarial Metric Learning with Naive Similarity Discriminator. IEICE Trans. Inf. Syst. (6) (2020)
Zongwei Kang, Jiaxing Shang, Yong Feng, Linjiang Zheng, Dajiang Liu, Baohua Qiang, Ran Wei
A Deep Sequence-to-Sequence Method for Aircraft Landing Speed Prediction Based on QAR Data. WISE (2) (2020)
Yi-yang Zhang, Yong Feng, Dajiang Liu, Jiaxing Shang, Baohua Qiang
FRWCAE: joint faster-RCNN and Wasserstein convolutional auto-encoder for instance retrieval. Appl. Intell. 50 (7) (2020)
Dajiang Liu, Shouyi Yin, Guojie Luo, Jiaxing Shang, Leibo Liu, Shaojun Wei, Yong Feng, Shangbo Zhou
Data-Flow Graph Mapping Optimization for CGRA With Deep Reinforcement Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38 (12) (2019)
Xu Li, Jiaxing Shang, Linjiang Zheng, Dajiang Liu, Lin Qi, Liu Liu
CurveCluster: Automated Recognition of Hard Landing Patterns Based on QAR Curve Clustering. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2019)
Shouyi Yin, Xianqing Yao, Tianyi Lu, Dajiang Liu, Jiangyuan Gu, Leibo Liu, Shaojun Wei
Conflict-Free Loop Mapping for Coarse-Grained Reconfigurable Architecture with Multi-Bank Memory. IEEE Trans. Parallel Distributed Syst. 28 (9) (2017)
Shouyi Yin, Dajiang Liu, Lifeng Sun, Xinhan Lin, Leibo Liu, Shaojun Wei
Learning Convolutional Neural Networks for Data-Flow Graph Mapping on Spatial Programmable Architectures (Abstract Only). FPGA (2017)
Shouyi Yin, Dajiang Liu, Lifeng Sun, Leibo Liu, Shaojun Wei
DFGNet: Mapping dataflow graph onto CGRA by a deep learning approach. ISCAS (2017)
Shouyi Yin, Jiangyuan Gu, Dajiang Liu, Leibo Liu, Shaojun Wei
CGRAs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35 (9) (2016)
Shouyi Yin, Xianqing Yao, Dajiang Liu, Leibo Liu, Shaojun Wei
Memory-Aware Loop Mapping on Coarse-Grained Reconfigurable Architectures. IEEE Trans. Very Large Scale Integr. Syst. 24 (5) (2016)
Shouyi Yin, Dajiang Liu, Yu Peng, Leibo Liu, Shaojun Wei
Improving Nested Loop Pipelining on Coarse-Grained Reconfigurable Architectures. IEEE Trans. Very Large Scale Integr. Syst. 24 (2) (2016)
Shouyi Yin, Dajiang Liu, Leibo Liu, Shaojun Wei, Yike Guo
Joint affine transformation and loop pipelining for mapping nested loop on CGRAs. DATE (2015)
Dajiang Liu, Shouyi Yin, Yu Peng, Leibo Liu, Shaojun Wei
Optimizing Spatial Mapping of Nested Loop for Coarse-Grained Reconfigurable Architectures. IEEE Trans. Very Large Scale Integr. Syst. 23 (11) (2015)
Dajiang Liu, Shouyi Yin, Leibo Liu, Shaojun Wei
Mapping Multi-Level Loop Nests onto CGRAs Using Polyhedral Optimizations. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (7) (2015)
Shuang Feng, Dajiang Liu, Xiaowei Zhan, Mary Kate Wing, Gonçalo R. Abecasis
RAREMETAL: fast and powerful meta-analysis for rare variants. Bioinform. 30 (19) (2014)
Dajiang Liu, Shouyi Yin, Leibo Liu, Shaojun Wei
Exploiting Outer Loop Parallelism of Nested Loop on Coarse-Grained Reconfigurable Architectures. FCCM (2014)
Shouyi Yin, Dajiang Liu, Leibo Liu, Shaojun Wei
Affine Transformations for Communication and Reconfiguration Optimization of Mapping Loop Nests on CGRAs. IEICE Trans. Inf. Syst. (8) (2013)
Dajiang Liu, Shouyi Yin, Leibo Liu, Shaojun Wei
Polyhedral model based mapping optimization of loop nests for CGRAs. DAC (2013)
Dajiang Liu, Shouyi Yin, Leibo Liu, Shaojun Wei
Affine transformations for communication and reconfiguration optimization of loops on CGRAs. ISCAS (2013)
Dajiang Liu, Shouyi Yin, Chongyong Yin, Leibo Liu, Shaojun Wei
Mapping Optimization of Affine Loop Nests for Reconfigurable Computing Architecture. IEICE Trans. Inf. Syst. (12) (2012)
Dajiang Liu, James W. Evans
From Atomic Scale Ordering to Mesoscale Spatial Patterns in Surface Reactions: A Heterogeneous Coupled Lattice-Gas Simulation Approach. Multiscale Model. Simul. 4 (2) (2005)