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ORCIDDajiang Liu
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2020 – today
- 2024
[j22]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: 110385 (2024)- [j21]Xiaojuan Yang, Jiaxing Shang, Qinghong Hu, Dajiang Liu:
ARIS: Efficient Admitted Influence Maximizing in Large-Scale Networks Based on Valid Path Reverse Influence Sampling. IEEE Trans. Emerg. Top. Comput. 12(3): 700-714 (2024) - [j20]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): 289-302 (2024) - [j19]Di Mou, Bo Wang, Dajiang Liu:
SC-CGRA: An Energy-Efficient CGRA Using Stochastic Computing. IEEE Trans. Parallel Distributed Syst. 35(11): 2023-2038 (2024) - [c25]Dajiang Liu, Decai Pan, Xiao Xiong, Jiaxing Shang, Shouyi Yin:
PMP: Pattern Morphing-based Memory Partitioning in High-Level Synthesis. DAC 2024: 205:1-205:6 - [c24]Xingyu Mo, Yawen Li, Dajiang Liu:
Optimizing Imperfectly-Nested Loop Mapping on CGRAs via Polyhedral-Guided Flattening. DATE 2024: 1-6 - [c23]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: 46-60 - 2023
- [j18]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: 110930 (2023) - [c22]Bowen Liu, Dajiang Liu:
Towards High-Bandwidth-Utilization SpMV on FPGAs via Partial Vector Duplication. ASP-DAC 2023: 33-38 - [c21]Liao Huang, Dajiang Liu:
Optimizing Data Reuse for CGRA Mapping Using Polyhedral-based Loop Transformations. DAC 2023: 1-6 - [c20]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: 1-6 - [c19]Lei Lei, Decai Pan, Dajiang Liu, Peng Ouyang, Xueliang Du:
Optimizing Memory Allocation for Multi-Subgraph Mapping on Spatial Accelerators. SYSTOR 2023: 105-110 - 2022
- [j17]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: 170-196 (2022) - [j16]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: 109659 (2022) - [c18]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: 714-721 - [c17]Bo Wang, Rong Zhu, Jiaxing Shang, Dajiang Liu:
Towards Energy-Efficient CGRAs via Stochastic Computing. DATE 2022: 202-207 - [c16]Rong Zhu, Bo Wang, Dajiang Liu:
RF-CGRA: A Routing-Friendly CGRA with Hierarchical Register Chains. DATE 2022: 262-267 - [c15]Yan Zhuang, Zhihao Zhang, Dajiang Liu:
Towards High-Quality CGRA Mapping with Graph Neural Networks and Reinforcement Learning. ICCAD 2022: 61:1-61:9 - [c14]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: 516-528 - [c13]Xueqi Jia, Jiaxing Shang, Linjiang Zheng, Dajiang Liu, Weiwei Cao, Hong Sun:
Social Information Popularity Prediction based on Heterogeneous Diffusion Attention Network. SEKE 2022: 604-609 - 2021
- [j15]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): 271-289 (2021) - [j14]Dajiang Liu, Changming Hu:
A dynamic critical path method for project scheduling based on a generalised fuzzy similarity. J. Oper. Res. Soc. 72(2): 458-470 (2021) - [c12]Dajiang Liu, Ting Liu, Xingyu Mo, Jiaxing Shang, Shouyi Yin:
Polyhedral-based Pipelining of Imperfectly-Nested Loop for CGRAs. ICCAD 2021: 1-9 - [c11]Yu Zhang, Dajiang Liu, Yongkang Xing:
Dynamic Convolution Pruning Using Pooling Characteristic in Convolution Neural Networks. ICONIP (5) 2021: 558-565 - [c10]Shuang Gao, Wu Xie, Jiaxing Shang, Dajiang Liu, Baohua Qiang:
BaCIM: Balanced Competitive Influence Maximization based on Blocked Reverse Influence Sampling. MDM 2021: 151-156 - [c9]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: 1061-1068 - [i1]Xinjun Cai, Jiaxing Shang, Fei Hao, Dajiang Liu, Linjiang Zheng:
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning. CoRR abs/2109.02868 (2021) - 2020
- [j13]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): 2208-2221 (2020) - [j12]Yi-Ze Le, Yong Feng, Dajiang Liu, Baohua Qiang:
Adversarial Metric Learning with Naive Similarity Discriminator. IEICE Trans. Inf. Syst. 103-D(6): 1406-1413 (2020) - [c8]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: 516-530
2010 – 2019
- 2019
- [j11]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): 2271-2283 (2019) - [c7]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: 602-609 - 2017
- [j10]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): 2471-2485 (2017) - [c6]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: 295 - [c5]Shouyi Yin, Dajiang Liu, Lifeng Sun, Leibo Liu, Shaojun Wei:
DFGNet: Mapping dataflow graph onto CGRA by a deep learning approach. ISCAS 2017: 1-4 - 2016
- [j9]Shouyi Yin, Jiangyuan Gu, Dajiang Liu, Leibo Liu, Shaojun Wei:
Joint Modulo Scheduling and Vdd Assignment for Loop Mapping on Dual- Vdd CGRAs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(9): 1475-1488 (2016) - [j8]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): 507-520 (2016) - [j7]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): 1895-1908 (2016) - 2015
- [j6]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. 98-A(7): 1419-1430 (2015) - [j5]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): 2581-2594 (2015) - [c4]Shouyi Yin, Dajiang Liu, Leibo Liu, Shaojun Wei, Yike Guo:
Joint affine transformation and loop pipelining for mapping nested loop on CGRAs. DATE 2015: 115-120 - 2014
- [j4]Shuang Feng, Dajiang Liu, Xiaowei Zhan, Mary Kate Wing, Gonçalo R. Abecasis:
RAREMETAL: fast and powerful meta-analysis for rare variants. Bioinform. 30(19): 2828-2829 (2014) - [c3]Dajiang Liu, Shouyi Yin, Leibo Liu, Shaojun Wei:
Exploiting Outer Loop Parallelism of Nested Loop on Coarse-Grained Reconfigurable Architectures. FCCM 2014: 32 - 2013
- [j3]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. 96-D(8): 1582-1591 (2013) - [c2]Dajiang Liu, Shouyi Yin, Leibo Liu, Shaojun Wei:
Polyhedral model based mapping optimization of loop nests for CGRAs. DAC 2013: 19:1-19:8 - [c1]Dajiang Liu, Shouyi Yin, Leibo Liu, Shaojun Wei:
Affine transformations for communication and reconfiguration optimization of loops on CGRAs. ISCAS 2013: 2541-2544 - 2012
- [j2]Dajiang Liu, Shouyi Yin, Chongyong Yin, Leibo Liu, Shaojun Wei:
Mapping Optimization of Affine Loop Nests for Reconfigurable Computing Architecture. IEICE Trans. Inf. Syst. 95-D(12): 2898-2907 (2012)
2000 – 2009
- 2005
- [j1]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): 424-446 (2005)
Coauthor Index
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