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2020 – today
- 2024
[j25]Qichen Zhang, Weishi Shao, Zhongshi Shao, Dechang Pi, Jiaquan Gao:
Deep reinforcement learning driven trajectory-based meta-heuristic for distributed heterogeneous flexible job shop scheduling problem. Swarm Evol. Comput. 91: 101753 (2024)- 2023
- [j24]Jiaquan Gao
, Xinyue Chu, Yizhou Wang:
HeuriSPAI: a heuristic sparse approximate inverse preconditioning algorithm on GPU. CCF Trans. High Perform. Comput. 5(2): 160-170 (2023) - [c21]Ying Li, Chunming Guan, Jiaquan Gao:
TsP-Tran: Two-Stage Pure Transformer for Multi-Label Image Retrieval. ICMR 2023: 425-433 - [c20]Ying Li, Chunming Guan, Rui Cai, Ye Erwan, Ding Yuxiang, Jiaquan Gao:
Tran-GCN: Multi-label Pattern Image Retrieval via Transformer Driven Graph Convolutional Network. ACM Multimedia 2023: 6301-6310 - [i1]Weijie Fang, Yanggeng Fu, Jiaquan Gao, Longkun Guo, Gregory Z. Gutin, Xiaoyan Zhang:
Acceleration for Timing-Aware Gate-Level Logic Simulation with One-Pass GPU Parallelism. CoRR abs/2304.13398 (2023) - 2022
- [j23]Xiaotong Wu, Lianyong Qi, Jiaquan Gao, Genlin Ji, Xiaolong Xu:
An ensemble of random decision trees with local differential privacy in edge computing. Neurocomputing 485: 181-195 (2022) - [j22]Jiaquan Gao, Xinyue Chu, Xiaotong Wu, Jun Wang, Guixia He:
Parallel Dynamic Sparse Approximate Inverse Preconditioning Algorithm on GPU. IEEE Trans. Parallel Distributed Syst. 33(12): 4723-4737 (2022) - 2021
- [j21]Guixia He, Qi Chen, Jiaquan Gao:
A new diagonal storage for efficient implementation of sparse matrix-vector multiplication on graphics processing unit. Concurr. Comput. Pract. Exp. 33(13) (2021) - [j20]Xiaotong Wu, Jiaquan Gao, Genlin Ji, Taotao Wu, Yuan Tian, Najla Al-Nabhan:
A feature-based intelligent deduplication compression system with extreme resemblance detection. Connect. Sci. 33(3): 576-604 (2021) - [j19]Xinyue Chu, Jiaquan Gao, Bo Sheng:
Efficient Concurrent L1-Minimization Solvers on GPUs. Comput. Syst. Sci. Eng. 38(3): 305-320 (2021) - [j18]Jiaquan Gao, Yifei Xia, Renjie Yin, Guixia He:
Adaptive diagonal sparse matrix-vector multiplication on GPU. J. Parallel Distributed Comput. 157: 287-302 (2021) - [j17]Jiaquan Gao, Qi Chen, Guixia He:
A thread-adaptive sparse approximate inverse preconditioning algorithm on multi-GPUs. Parallel Comput. 101: 102724 (2021) - [c19]Jingjie Li, Jiaquan Gao, Qi Jiang, Guixia He:
Adversarial Defense Networks via Gaussian Noise and RBF. ICAIS (1) 2021: 494-504 - [c18]Junxiao Cao, Ziyu Yao, Jinjin Chen, Yuanyuan Zhang, Xingze Tai, Tian Zhang, Jiaquan Gao:
The Offset-Image Recognition Based on Dense Coding. ICAIS (1) 2021: 527-539 - [c17]Ziyu Yao, Jiaquan Gao:
Adversarial Example Defense Based on the Supervision. IJCNN 2021: 1-8 - [c16]Ying Li, Hongwei Zhou, Yeyu Yin, Jiaquan Gao:
Multi-label Pattern Image Retrieval via Attention Mechanism Driven Graph Convolutional Network. ACM Multimedia 2021: 300-308 - [c15]Jingjie Li, Jiaquan Gao, Xiao-Xin Li:
Adversarial Examples Defense via Combining Data Transformations and RBF Layers. PRICAI (2) 2021: 349-361 - 2020
- [j16]Guixia He, Renjie Yin, Jiaquan Gao:
An efficient sparse approximate inverse preconditioning algorithm on GPU. Concurr. Comput. Pract. Exp. 32(7) (2020) - [j15]Jun Wang, Jiaquan Gao:
Parallelizing GPGPU-Sim for Faster Simulation with High Fidelity. IEEE Des. Test 37(4): 83-91 (2020) - [c14]Qi Chen, Jiaquan Gao, Xinyue Chu, Guixia He:
Parallel Sorted Sparse Approximate Inverse Preconditioning Algorithm on GPU. Bench 2020: 147-156 - [c13]Xiaotong Wu, Xiaolong Xu, Fei Dai, Jiaquan Gao, Genlin Ji, Lianyong Qi:
An Ensemble of Random Decision Trees with Personalized Privacy Preservation in Edge-Cloud Computing. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2020: 779-786 - [c12]Datong Wu, Xiaotong Wu, Jiaquan Gao, Genlin Ji, Xiaolong Xu, Lianyong Qi, Wanchun Dou:
A Personalized Preservation Mechanism Satisfying Local Differential Privacy in Location-Based Services. SPDE 2020: 161-175 - [c11]Datong Wu, Xiaotong Wu, Jiaquan Gao, Genlin Ji, Taotao Wu, Xuyun Zhang, Wanchun Dou:
A Survey of Game Theoretical Privacy Preservation for Data Sharing and Publishing. SPDE 2020: 205-216
2010 – 2019
- 2018
- [j14]Guixia He, Jiaquan Gao, Jun Wang:
Efficient dense matrix-vector multiplication on GPU. Concurr. Comput. Pract. Exp. 30(19) (2018) - 2017
- [j13]Jiaquan Gao, Yu Wang, Jun Wang:
A novel multi-graphics processing unit parallel optimization framework for the sparse matrix-vector multiplication. Concurr. Comput. Pract. Exp. 29(5) (2017) - [j12]Jiaquan Gao, Kesong Wu, Yushun Wang, Panpan Qi, Guixia He:
GPU-accelerated preconditioned GMRES method for two-dimensional Maxwell's equations. Int. J. Comput. Math. 94(10): 2122-2144 (2017) - [j11]Jiaquan Gao, Zejie Li, Ronghua Liang, Guixia He:
Adaptive Optimization l1-Minimization Solvers on GPU. Int. J. Parallel Program. 45(3): 508-529 (2017) - [j10]Jiaquan Gao, Yuanshen Zhou, Guixia He, Yifei Xia:
A multi-GPU parallel optimization model for the preconditioned conjugate gradient algorithm. Parallel Comput. 63: 1-16 (2017) - 2016
- [j9]Jiaquan Gao, Yuanshen Zhou, Kesong Wu:
A Novel Multi-GPU Parallel Optimization Model for The Sparse Matrix-Vector Multiplication. Parallel Process. Lett. 26(4): 1640001:1-1640001:17 (2016) - [j8]Jiaquan Gao, Yu Wang, Jun Wang, Ronghua Liang:
Adaptive Optimization Modeling of Preconditioned Conjugate Gradient on Multi-GPUs. ACM Trans. Parallel Comput. 3(3): 16:1-16:33 (2016) - 2015
- [j7]Jiaquan Gao, Bo Li:
A Cholesky preconditioned conjugate gradient algorithm on GPU for the 3D parabolic equation. Int. J. Comput. Sci. Eng. 11(4): 339-348 (2015) - [c10]Xiao-Xin Li, Ronghua Liang, Jiaquan Gao, Haixia Wang:
Facial Occlusion Detection via Structural Error Metrics and Clustering. IScIDE (1) 2015: 118-127 - 2014
- [j6]Jiaquan Gao, Guixia He, Ronghua Liang, Zhilin Feng:
A quantum-inspired artificial immune system for the multiobjective 0-1 knapsack problem. Appl. Math. Comput. 230: 120-137 (2014) - [j5]Jiaquan Gao, Ronghua Liang, Jun Wang:
Research on the conjugate gradient algorithm with a modified incomplete Cholesky preconditioner on GPU. J. Parallel Distributed Comput. 74(2): 2088-2098 (2014) - 2013
- [c9]Jiaquan Gao, Bo Li, Guixia He:
Modified Incomplete Cholesky Preconditioned Conjugate Gradient Algorithm on GPU for the 3D Parabolic Equation. NPC 2013: 298-307 - 2011
- [j4]Jiaquan Gao, Jun Wang:
A hybrid quantum-inspired immune algorithm for multiobjective optimization. Appl. Math. Comput. 217(9): 4754-4770 (2011) - 2010
- [j3]Jiaquan Gao:
A novel artificial immune system for solving multiobjective scheduling problems subject to special process constraint. Comput. Ind. Eng. 58(4): 602-609 (2010) - [j2]Jiaquan Gao, Jun Wang:
WBMOAIS: A novel artificial immune system for multiobjective optimization. Comput. Oper. Res. 37(1): 50-61 (2010) - [c8]Jiaquan Gao, Lei Fang, Guixia He:
A Quantum-Inspired Artificial Immune System for Multiobjective 0-1 Knapsack Problems. ISNN (1) 2010: 161-168 - [c7]Jiaquan Gao, Hao Li, Luoke Hu:
Gender-Hierarchy Particle Swarm Optimizer Based on Punishment. ICSI (1) 2010: 94-101 - [c6]Guixia He, Jiaquan Gao, Luoke Hu:
An Improved Immune Genetic Algorithm for Multiobjective Optimization. ICSI (1) 2010: 643-650
2000 – 2009
- 2009
- [c5]Jiaquan Gao, Zhimin Fang, Lei Fang:
Effects of Similarity-Based Selection on WBMOIA: A Weight-Based Multiobjective Immune Algorithm. ISICA 2009: 191-200 - [c4]Jiaquan Gao, Lei Fang:
A Novel Artificial Immune System for Multiobjective Optimization Problems. ISNN (3) 2009: 88-97 - [c3]Guixia He, Jiaquan Gao:
A Novel Weight-Based Immune Genetic Algorithm for Multiobjective Optimization Problems. ISNN (2) 2009: 500-509 - 2008
- [c2]Jiaquan Gao, Guixia He, Yushun Wang, Feng Liu:
Multi-objective scheduling problems subjected to special process constraint. IEEE Congress on Evolutionary Computation 2008: 105-110 - 2006
- [c1]Jiaquan Gao, Duanyang Zhao:
Research on Parallel Visualization in Large-Scale Scientific Computing. ICAT Workshops 2006: 149-152 - 2003
- [j1]Jiaquan Gao, Guixia He:
An unconditionally stable parallel difference scheme for parabolic equations. Appl. Math. Comput. 135(2-3): 391-398 (2003)
Coauthor Index
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