Dajiang Liu

53 papers A* 5A 8B 2C 3Misc 2Journal 26Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
CoSpMV: Towards Agile Software and Hardware Co-Design for SpMV Computation.
IEEE Trans. Computers
Minghao Tian, Yue Liang, Bowen Liu, Dajiang Liu
2025 — conf
DynaX: Sparse Attention Acceleration with Dynamic X: M Fine-Grained Structured Pruning.
ASPLOS (2)
Xiao Xiong, Zhaorui Chen, Yue Liang, Minghao Tian, Jiaxing Shang, Jiang Zhong, Dajiang Liu
2025 J jnl
Optimizing Data Reuse for Loop Mapping on CGRAs With Joint Affine and Nonaffine Transformations.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Liao Huang, Yue Chen, Dajiang Liu
2025 J jnl
SDVD: Self-supervised dual-view modeling of user and cascade dynamics for information diffusion prediction.
Knowl. Based Syst.
Haoyu Xiong, Jiaxing Shang, Fei Hao, Dajiang Liu, Geyong Min
2024 J jnl
ARIS: Efficient Admitted Influence Maximizing in Large-Scale Networks Based on Valid Path Reverse Influence Sampling.
IEEE Trans. Emerg. Top. Comput.
Xiaojuan Yang, Jiaxing Shang, Qinghong Hu, Dajiang Liu
2024 J jnl
BALQUE: Batch active learning by querying unstable examples with calibrated confidence.
Pattern Recognit.
Yincheng Han, Dajiang Liu, Jiaxing Shang, Linjiang Zheng, Jiang Zhong, Weiwei Cao, Hong Sun, Wu Xie
2024 A conf
DISC: Exploiting Data Parallelism of Non-Stencil Computations on CGRAs via Dynamic Iteration Scheduling.
ICCAD
Yue Liang, Di Mou, Dajiang Liu
2024 A* conf
E2EMap: End-to-End Reinforcement Learning for CGRA Compilation via Reverse Mapping.
HPCA
Dajiang Liu, Yuxin Xia, Jiaxing Shang, Jiang Zhong, Peng Ouyang, Shouyi Yin
2024 J jnl
IMTCN: An Interpretable Flight Safety Analysis and Prediction Model Based on Multi-Scale Temporal Convolutional Networks.
IEEE Trans. Intell. Transp. Syst.
Xu Li, Jiaxing Shang, Linjiang Zheng, Qixing Wang, Dajiang Liu, Xiaodong Liu, Fan Li, Weiwei Cao, Hong Sun
2024 A conf
Optimizing Imperfectly-Nested Loop Mapping on CGRAs via Polyhedral-Guided Flattening.
DATE
Xingyu Mo, Yawen Li, Dajiang Liu
2024 A* conf
PMP: Pattern Morphing-based Memory Partitioning in High-Level Synthesis.
DAC
Dajiang Liu, Decai Pan, Xiao Xiong, Jiaxing Shang, Shouyi Yin
2024 J jnl
SC-CGRA: An Energy-Efficient CGRA Using Stochastic Computing.
IEEE Trans. Parallel Distributed Syst.
Di Mou, Bo Wang, Dajiang Liu
2023 A* conf
DARIC: A Data Reuse-Friendly CGRA for Parallel Data Access via Elastic FIFOs.
DAC
Dajiang Liu, Di Mou, Rong Zhu, Yan Zhuang, Jiaxing Shang, Jiang Zhong, Shouyi Yin
2023 J jnl
HMSG: Heterogeneous graph neural network based on Metapath SubGraph learning.
Knowl. Based Syst.
Mengya Guan, Xinjun Cai, Jiaxing Shang, Fei Hao, Dajiang Liu, Xianlong Jiao, Wancheng Ni
2023 A* conf
Optimizing Data Reuse for CGRA Mapping Using Polyhedral-based Loop Transformations.
DAC
Liao Huang, Dajiang Liu
2023 Misc conf
Optimizing Memory Allocation for Multi-Subgraph Mapping on Spatial Accelerators.
SYSTOR
Lei Lei, Decai Pan, Dajiang Liu, Peng Ouyang, Xueliang Du
2023 — conf
Towards High-Bandwidth-Utilization SpMV on FPGAs via Partial Vector Duplication.
ASP-DAC
Bowen Liu, Dajiang Liu
2022 — conf
CollaborateCas: Popularity Prediction of Information Cascades Based on Collaborative Graph Attention Networks.
DASFAA (1)
Xianren Zhang, Jiaxing Shang, Xueqi Jia, Dajiang Liu, Fei Hao, Zhiqing Zhang
2022 — conf
ConCas: Cascade Popularity Prediction Based on Topic-Aware Graph Contrastive Learning.
KSEM (1)
Chen Ling, Xianren Zhang, Jiaxing Shang, Dajiang Liu, Yong Li, Wu Xie, Baohua Qiang
2022 J jnl
HeDAN: Heterogeneous diffusion attention network for popularity prediction of online content.
Knowl. Based Syst.
Xueqi Jia, Jiaxing Shang, Dajiang Liu, Haidong Zhang, Wancheng Ni
2022 J jnl
IM2Vec: Representation learning-based preference maximization in geo-social networks.
Inf. Sci.
Ziwei Jin, Jiaxing Shang, Wancheng Ni, Liang Zhao, Dajiang Liu, Baohua Qiang, Wu Xie, Geyong Min
2022 A conf
RF-CGRA: A Routing-Friendly CGRA with Hierarchical Register Chains.
DATE
Rong Zhu, Bo Wang, Dajiang Liu
2022 C conf
Social Information Popularity Prediction based on Heterogeneous Diffusion Attention Network.
SEKE
Xueqi Jia, Jiaxing Shang, Linjiang Zheng, Dajiang Liu, Weiwei Cao, Hong Sun
2022 A conf
Towards Energy-Efficient CGRAs via Stochastic Computing.
DATE
Bo Wang, Rong Zhu, Jiaxing Shang, Dajiang Liu
2022 A conf
Towards High-Quality CGRA Mapping with Graph Neural Networks and Reinforcement Learning.
ICCAD
Yan Zhuang, Zhihao Zhang, Dajiang Liu
2021 J jnl
A dynamic critical path method for project scheduling based on a generalised fuzzy similarity.
J. Oper. Res. Soc.
Dajiang Liu, Changming Hu
2021 B conf
Accepted Influence Maximization under Linear Threshold Model on Large-Scale Social Networks.
TrustCom
Xiaojuan Yang, Jiaxing Shang, Linjiang Zheng, Dajiang Liu, Shu Fu, Baohua Qiang
2021 B conf
BaCIM: Balanced Competitive Influence Maximization based on Blocked Reverse Influence Sampling.
MDM
Shuang Gao, Wu Xie, Jiaxing Shang, Dajiang Liu, Baohua Qiang
2021 — conf
Dynamic Convolution Pruning Using Pooling Characteristic in Convolution Neural Networks.
ICONIP (5)
Yu Zhang, Dajiang Liu, Yongkang Xing
2021 J jnl
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning.
CoRR
Xinjun Cai, Jiaxing Shang, Fei Hao, Dajiang Liu, Linjiang Zheng
2021 A conf
Polyhedral-based Pipelining of Imperfectly-Nested Loop for CGRAs.
ICCAD
Dajiang Liu, Ting Liu, Xingyu Mo, Jiaxing Shang, Shouyi Yin
2021 J jnl
RNe2Vec: information diffusion popularity prediction based on repost network embedding.
Computing
Jiaxing Shang, Shuo Huang, Dingyang Zhang, Zixuan Peng, Dajiang Liu, Yong Li, Lexi Xu
2020 — conf
A Deep Sequence-to-Sequence Method for Aircraft Landing Speed Prediction Based on QAR Data.
WISE (2)
Zongwei Kang, Jiaxing Shang, Yong Feng, Linjiang Zheng, Dajiang Liu, Baohua Qiang, Ran Wei
2020 J jnl
Adversarial Metric Learning with Naive Similarity Discriminator.
IEICE Trans. Inf. Syst.
Yi-Ze Le, Yong Feng, Dajiang Liu, Baohua Qiang
2020 J jnl
FRWCAE: joint faster-RCNN and Wasserstein convolutional auto-encoder for instance retrieval.
Appl. Intell.
Yiyang Zhang, Yong Feng, Dajiang Liu, Jiaxing Shang, Baohua Qiang
2019 — conf
CurveCluster: Automated Recognition of Hard Landing Patterns Based on QAR Curve Clustering.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Xu Li, Jiaxing Shang, Linjiang Zheng, Dajiang Liu, Lin Qi, Liu Liu
2019 J jnl
Data-Flow Graph Mapping Optimization for CGRA With Deep Reinforcement Learning.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Dajiang Liu, Shouyi Yin, Guojie Luo, Jiaxing Shang, Leibo Liu, Shaojun Wei, Yong Feng, Shangbo Zhou
2017 J jnl
Conflict-Free Loop Mapping for Coarse-Grained Reconfigurable Architecture with Multi-Bank Memory.
IEEE Trans. Parallel Distributed Syst.
Shouyi Yin, Xianqing Yao, Tianyi Lu, Dajiang Liu, Jiangyuan Gu, Leibo Liu, Shaojun Wei
2017 C conf
DFGNet: Mapping dataflow graph onto CGRA by a deep learning approach.
ISCAS
Shouyi Yin, Dajiang Liu, Lifeng Sun, Leibo Liu, Shaojun Wei
2017 A conf
Learning Convolutional Neural Networks for Data-Flow Graph Mapping on Spatial Programmable Architectures (Abstract Only).
FPGA
Shouyi Yin, Dajiang Liu, Lifeng Sun, Xinhan Lin, Leibo Liu, Shaojun Wei
2016 J jnl
Improving Nested Loop Pipelining on Coarse-Grained Reconfigurable Architectures.
IEEE Trans. Very Large Scale Integr. Syst.
Shouyi Yin, Dajiang Liu, Yu Peng, Leibo Liu, Shaojun Wei
2016 J jnl
Joint Modulo Scheduling and V
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Shouyi Yin, Jiangyuan Gu, Dajiang Liu, Leibo Liu, Shaojun Wei
2016 J jnl
Memory-Aware Loop Mapping on Coarse-Grained Reconfigurable Architectures.
IEEE Trans. Very Large Scale Integr. Syst.
Shouyi Yin, Xianqing Yao, Dajiang Liu, Leibo Liu, Shaojun Wei
2015 A conf
Joint affine transformation and loop pipelining for mapping nested loop on CGRAs.
DATE
Shouyi Yin, Dajiang Liu, Leibo Liu, Shaojun Wei, Yike Guo
2015 J jnl
Mapping Multi-Level Loop Nests onto CGRAs Using Polyhedral Optimizations.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Dajiang Liu, Shouyi Yin, Leibo Liu, Shaojun Wei
2015 J jnl
Optimizing Spatial Mapping of Nested Loop for Coarse-Grained Reconfigurable Architectures.
IEEE Trans. Very Large Scale Integr. Syst.
Dajiang Liu, Shouyi Yin, Yu Peng, Leibo Liu, Shaojun Wei
2014 Misc conf
Exploiting Outer Loop Parallelism of Nested Loop on Coarse-Grained Reconfigurable Architectures.
FCCM
Dajiang Liu, Shouyi Yin, Leibo Liu, Shaojun Wei
2014 J jnl
RAREMETAL: fast and powerful meta-analysis for rare variants.
Bioinform.
Shuang Feng, Dajiang Liu, Xiaowei Zhan, Mary Kate Wing, Gonçalo R. Abecasis
2013 J jnl
Affine Transformations for Communication and Reconfiguration Optimization of Mapping Loop Nests on CGRAs.
IEICE Trans. Inf. Syst.
Shouyi Yin, Dajiang Liu, Leibo Liu, Shaojun Wei
2013 C conf
Affine transformations for communication and reconfiguration optimization of loops on CGRAs.
ISCAS
Dajiang Liu, Shouyi Yin, Leibo Liu, Shaojun Wei
2013 A* conf
Polyhedral model based mapping optimization of loop nests for CGRAs.
DAC
Dajiang Liu, Shouyi Yin, Leibo Liu, Shaojun Wei
2012 J jnl
Mapping Optimization of Affine Loop Nests for Reconfigurable Computing Architecture.
IEICE Trans. Inf. Syst.
Dajiang Liu, Shouyi Yin, Chongyong Yin, Leibo Liu, Shaojun Wei
2005 J jnl
From Atomic Scale Ordering to Mesoscale Spatial Patterns in Surface Reactions: A Heterogeneous Coupled Lattice-Gas Simulation Approach.
Multiscale Model. Simul.
Dajiang Liu, James W. Evans