An unconditionally stable parallel difference scheme for parabolic equations. - Jiaquan Gao; Guixia He (Appl. Math. Comput., 2003)

Research on Parallel Visualization in Large-Scale Scientific Computing. - Jiaquan Gao; Duanyang Zhao (ICAT Workshops, 2006)

Multi-objective scheduling problems subjected to special process constraint. - Jiaquan Gao; Guixia He; Yushun Wang; Feng Liu (IEEE Congress on Evolutionary Computation, 2008)

Effects of Similarity-Based Selection on WBMOIA: A Weight-Based Multiobjective Immune Algorithm. - Jiaquan Gao; Zhimin Fang; Lei Fang (ISICA, 2009)

A Novel Artificial Immune System for Multiobjective Optimization Problems. - Jiaquan Gao; Lei Fang (ISNN (3), 2009)

A Novel Weight-Based Immune Genetic Algorithm for Multiobjective Optimization Problems. - Guixia He; Jiaquan Gao (ISNN (2), 2009)

A Quantum-Inspired Artificial Immune System for Multiobjective 0-1 Knapsack Problems. - Jiaquan Gao; Lei Fang; Guixia He (ISNN (1), 2010)

Gender-Hierarchy Particle Swarm Optimizer Based on Punishment. - Jiaquan Gao; Hao Li; Luoke Hu (ICSI (1), 2010)

An Improved Immune Genetic Algorithm for Multiobjective Optimization. - Guixia He; Jiaquan Gao; Luoke Hu (ICSI (1), 2010)

A novel artificial immune system for solving multiobjective scheduling problems subject to special process constraint. - Jiaquan Gao (Comput. Ind. Eng., 2010)

WBMOAIS: A novel artificial immune system for multiobjective optimization. - Jiaquan Gao; Jun Wang 077 (Comput. Oper. Res., 2010)

A hybrid quantum-inspired immune algorithm for multiobjective optimization. - Jiaquan Gao; Jun Wang 077 (Appl. Math. Comput., 2011)

Modified Incomplete Cholesky Preconditioned Conjugate Gradient Algorithm on GPU for the 3D Parabolic Equation. - Jiaquan Gao; Bo Li; Guixia He (NPC, 2013)

A quantum-inspired artificial immune system for the multiobjective 0-1 knapsack problem. - Jiaquan Gao; Guixia He; Ronghua Liang; Zhilin Feng (Appl. Math. Comput., 2014)

Research on the conjugate gradient algorithm with a modified incomplete Cholesky preconditioner on GPU. - Jiaquan Gao; Ronghua Liang; Jun Wang 077 (J. Parallel Distributed Comput., 2014)

Facial Occlusion Detection via Structural Error Metrics and Clustering. - Xiao-Xin Li; Ronghua Liang; Jiaquan Gao; Haixia Wang 002 (IScIDE (1), 2015)

A Cholesky preconditioned conjugate gradient algorithm on GPU for the 3D parabolic equation. - Jiaquan Gao; Bo Li (Int. J. Comput. Sci. Eng., 2015)

A Novel Multi-GPU Parallel Optimization Model for The Sparse Matrix-Vector Multiplication. - Jiaquan Gao; Yuanshen Zhou; Kesong Wu (Parallel Process. Lett., 2016)

Adaptive Optimization Modeling of Preconditioned Conjugate Gradient on Multi-GPUs. - Jiaquan Gao; Yu Wang; Jun Wang 077; Ronghua Liang (ACM Trans. Parallel Comput., 2016)

A novel multi-graphics processing unit parallel optimization framework for the sparse matrix-vector multiplication. - Jiaquan Gao; Yu Wang; Jun Wang 077 (Concurr. Comput. Pract. Exp., 2017)

GPU-accelerated preconditioned GMRES method for two-dimensional Maxwell's equations. - Jiaquan Gao; Kesong Wu; Yushun Wang; Panpan Qi; Guixia He (Int. J. Comput. Math., 2017)

Adaptive Optimization l1-Minimization Solvers on GPU. - Jiaquan Gao; Zejie Li; Ronghua Liang; Guixia He (Int. J. Parallel Program., 2017)

A multi-GPU parallel optimization model for the preconditioned conjugate gradient algorithm. - Jiaquan Gao; Yuanshen Zhou; Guixia He; Yifei Xia (Parallel Comput., 2017)

Efficient dense matrix-vector multiplication on GPU. - Guixia He; Jiaquan Gao; Jun Wang 077 (Concurr. Comput. Pract. Exp., 2018)

Parallel Sorted Sparse Approximate Inverse Preconditioning Algorithm on GPU. - Qi Chen; Jiaquan Gao; Xinyue Chu; Guixia He (Bench, 2020)

An Ensemble of Random Decision Trees with Personalized Privacy Preservation in Edge-Cloud Computing. - Xiaotong Wu; Xiaolong Xu 001; Fei Dai 002; Jiaquan Gao; Genlin Ji; Lianyong Qi (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2020)

A Survey of Game Theoretical Privacy Preservation for Data Sharing and Publishing. - Datong Wu; Xiaotong Wu; Jiaquan Gao; Genlin Ji; Taotao Wu; Xuyun Zhang; Wanchun Dou (SPDE, 2020)

A Personalized Preservation Mechanism Satisfying Local Differential Privacy in Location-Based Services. - Datong Wu; Xiaotong Wu; Jiaquan Gao; Genlin Ji; Xiaolong Xu 001; Lianyong Qi; Wanchun Dou (SPDE, 2020)

An efficient sparse approximate inverse preconditioning algorithm on GPU. - Guixia He; Renjie Yin; Jiaquan Gao (Concurr. Comput. Pract. Exp., 2020)

Parallelizing GPGPU-Sim for Faster Simulation with High Fidelity. - Jun Wang 077; Jiaquan Gao (IEEE Des. Test, 2020)

The Offset-Image Recognition Based on Dense Coding. - Junxiao Cao; Ziyu Yao 003; Jinjin Chen; Yuanyuan Zhang; Xingze Tai; Tian Zhang; Jiaquan Gao (ICAIS (1), 2021)

Adversarial Defense Networks via Gaussian Noise and RBF. - Jingjie Li; Jiaquan Gao; Qi Jiang; Guixia He (ICAIS (1), 2021)

Adversarial Example Defense Based on the Supervision. - Ziyu Yao 003; Jiaquan Gao (IJCNN, 2021)

Multi-label Pattern Image Retrieval via Attention Mechanism Driven Graph Convolutional Network. - Ying Li 016; Hongwei Zhou; Yeyu Yin; Jiaquan Gao (ACM Multimedia, 2021)

Adversarial Examples Defense via Combining Data Transformations and RBF Layers. - Jingjie Li; Jiaquan Gao; Xiao-Xin Li (PRICAI (2), 2021)

A new diagonal storage for efficient implementation of sparse matrix-vector multiplication on graphics processing unit. - Guixia He; Qi Chen; Jiaquan Gao (Concurr. Comput. Pract. Exp., 2021)

A feature-based intelligent deduplication compression system with extreme resemblance detection. - Xiaotong Wu; Jiaquan Gao; Genlin Ji; Taotao Wu; Yuan Tian 003; Najla Al-Nabhan (Connect. Sci., 2021)

Efficient Concurrent L1-Minimization Solvers on GPUs. - Xinyue Chu; Jiaquan Gao; Bo Sheng (Comput. Syst. Sci. Eng., 2021)

Adaptive diagonal sparse matrix-vector multiplication on GPU. - Jiaquan Gao; Yifei Xia; Renjie Yin; Guixia He (J. Parallel Distributed Comput., 2021)

A thread-adaptive sparse approximate inverse preconditioning algorithm on multi-GPUs. - Jiaquan Gao; Qi Chen; Guixia He (Parallel Comput., 2021)

An ensemble of random decision trees with local differential privacy in edge computing. - Xiaotong Wu; Lianyong Qi; Jiaquan Gao; Genlin Ji; Xiaolong Xu 001 (Neurocomputing, 2022)

Parallel Dynamic Sparse Approximate Inverse Preconditioning Algorithm on GPU. - Jiaquan Gao; Xinyue Chu; Xiaotong Wu; Jun Wang 077; Guixia He (IEEE Trans. Parallel Distributed Syst., 2022)

TsP-Tran: Two-Stage Pure Transformer for Multi-Label Image Retrieval. - Ying Li 016; Chunming Guan; Jiaquan Gao (ICMR, 2023)

Tran-GCN: Multi-label Pattern Image Retrieval via Transformer Driven Graph Convolutional Network. - Ying Li 016; Chunming Guan; Rui Cai; Ye Erwan; Ding Yuxiang; Jiaquan Gao (ACM Multimedia, 2023)

Acceleration for Timing-Aware Gate-Level Logic Simulation with One-Pass GPU Parallelism. - Weijie Fang; Yanggeng Fu; Jiaquan Gao; Longkun Guo; Gregory Z. Gutin; Xiaoyan Zhang 001 (CoRR, 2023)

HeuriSPAI: a heuristic sparse approximate inverse preconditioning algorithm on GPU. - Jiaquan Gao; Xinyue Chu; Yizhou Wang (CCF Trans. High Perform. Comput., 2023)

Keypoints-based multimodal network for robust human action recognition. - Zesheng Hu; Genlin Ji; Jiaquan Gao; Bin Zhao; Xichen Yang (ICISDM, 2024)

Deep reinforcement learning driven trajectory-based meta-heuristic for distributed heterogeneous flexible job shop scheduling problem. - Qichen Zhang; Weishi Shao; Zhongshi Shao; Dechang Pi; Jiaquan Gao (Swarm Evol. Comput., 2024)

An improved approximation algorithm for Hypergraph Max p-Section. - Guangfeng Li; Jian Sun 022; Jiaquan Gao; Zhiren Sun; Xiaoyan Zhang 001 (Discret. Appl. Math., 2025)

HTS-LB: Hypergraph tree search for learning branch. - Yige Zhang; Xiaoyan Zhang; Jian Sun; Ying Li 016; Jiaquan Gao (Neural Networks, 2025)

Complementary two-branch Transformer for multi-label image retrieval. - Ying Li 016; Shuaiyu Deng; Chunming Guan; Jiaquan Gao (Pattern Recognit., 2025)

Federated learning-based private medical knowledge graph for epidemic surveillance in internet of things. - Xiaotong Wu; Jiaquan Gao; Muhammad Bilal 003; Fei Dai 002; Xiaolong Xu 001; Lianyong Qi; Wanchun Dou (Expert Syst. J. Knowl. Eng., 2025)

Explicit and CPU/GPU parallel energy-preserving schemes for the Klein-Gordon-Schrödinger equations. - Xuelong Gu; Yushun Wang; Ziyu Wu; Jiaquan Gao; Wenjun Cai (CoRR, 2025)

Algorithms for 2-balanced connected k-partition problem in graphs. - Junran Yu; Jing Hu; Jiaquan Gao; Donglei Du; Xiaoyan Zhang 001 (J. Comb. Optim., 2025)

Acceleration of Timing-Aware Gate-Level Logic Simulation Through One-Pass GPU Parallelism. - Weijie Fang; Yanggeng Fu; Jiaquan Gao; Longkun Guo; Gregory Z. Gutin; Xiaoyan Zhang 001 (IEEE Trans. Computers, 2025)

Energy-Efficiency Oriented Distributed Heterogeneous Hybrid Flow Shop Scheduling With Multilevelled Mixed-Model Assembly. - Weishi Shao; Zhongshi Shao; Dechang Pi; Jiaquan Gao (IEEE Trans. Syst. Man Cybern. Syst., 2025)