A Chaotic Neural Network for the Maximum Clique Problem. - Shenshen Gu; Songnian Yu (Canadian AI, 2004)

An Improved Transiently Chaotic Neural Network for Solving the K-Coloring Problem. - Shenshen Gu (ISNN (1), 2005)

A K-Winners-Take-All Neural Network Based on Linear Programming Formulation. - Shenshen Gu; Jun Wang 002 (IJCNN, 2007)

Polynomial time solvable algorithms to binary quadratic programming problems with Q being a tri-diagonal or five-diagonal matrix. - Shenshen Gu (WCSP, 2010)

Reachability determination in acyclic Petri nets by cell enumeration approach. - Duan Li 002; Xiaoling Sun 001; Jianjun Gao 001; Shenshen Gu; Xiaojin Zheng (Autom., 2011)

A Finite-Time Convergent Recurrent Neural Network Based Algorithm for the L Smallest k-Subsets Sum Problem. - Shenshen Gu (ISNN (1), 2013)

A Polynomial Time Solvable Algorithm to Binary Quadratic Programming Problems with Q Being a Seven-Diagonal Matrix and Its Neural Network Implementation. - Shenshen Gu; Jiao Peng; Rui Cui (ISNN, 2014)

A neural network based algorithm to compute the distance between a point and an ellipsoid. - Shenshen Gu; Jiao Peng (ICACI, 2015)

An efficient algorithm for the subset sum problem based on finite-time convergent recurrent neural network. - Shenshen Gu; Rui Cui (Neurocomputing, 2015)

FPGA implementation of K-Winners-Take-All neural network based on linear programming formulation. - Shenshen Gu; Jiarui Zhang (ICACI, 2016)

Polynomial time solvable algorithms to a class of unconstrained and linearly constrained binary quadratic programming problems. - Shenshen Gu; Rui Cui; Jiao Peng (Neurocomputing, 2016)

A new deep learning method based on AlexNet model and SSD model for tennis ball recognition. - Shenshen Gu; Lu Ding; Yue Yang; Xinyi Chen 003 (IWCIA, 2017)

FPGA Implementation of the Projection Based Recurrent Neural Network Approach to Compute the Distance Between a Point and an Ellipsoid. - Shenshen Gu; Xiaowen Wang (ICONIP (6), 2017)

FPGA Implementation of the L Smallest k-Subsets Sum Problem Based on the Finite-Time Convergent Recurrent Neural Network. - Shenshen Gu; Xiaowen Wang (ISNN (1), 2017)

A Deep Learning Tennis Ball Collection Robot and the Implementation on NVIDIA Jetson TX1 Board. - Shenshen Gu; Xinyi Chen 003; Wei Zeng; Xin Wang (AIM, 2018)

A pointer network based deep learning algorithm for 0-1 Knapsack Problem. - Shenshen Gu; Tao Hao (ICACI, 2018)

A Neural Network Based Global Optimal Algorithm for Unconstrained Binary Quadratic Programming Problem. - Shenshen Gu; Xinyi Chen 003 (ICONIP (2), 2018)

A Pointer Network Based Deep Learning Algorithm for the Max-Cut Problem. - Shenshen Gu; Yue Yang (ICONIP (1), 2018)

The Implementation of a Pointer Network Model for Traveling Salesman Problem on a Xilinx PYNQ Board. - Shenshen Gu; Tao Hao; Shaofu Yang (ISNN, 2018)

Neurodynamics-Based Receding Horizon Control of an HVAC System. - Jiasen Wang; Jun Wang 002; Shenshen Gu (ISNN (2), 2019)

Deep Learning with Skip Connection Attention for Choroid Layer Segmentation in OCT Images. - Xiaoqian Mao; Yitian Zhao; Bang Chen; Yuhui Ma; Zaiwang Gu; Shenshen Gu; Jianlong Yang; Jun Cheng 003; Jiang Liu 001 (EMBC, 2020)

The Basic Algorithm for Zero-One Unconstrained Quadratic Programming Problem with k-diagonal Matrix. - Shenshen Gu; Xinyi Chen 003 (ICACI, 2020)

A pointer network based deep learning algorithm for unconstrained binary quadratic programming problem. - Shenshen Gu; Tao Hao; Hanmei Yao (Neurocomputing, 2020)

Recent Developments in Dynamic Modeling, Control and Applications of Neural Networks. - Sitian Qin; Shenshen Gu; Nian Zhang (Cybern. Syst., 2021)

Pointer Network Based Deep Learning Algorithm for the Maximum Clique Problem. - Shenshen Gu; Hanmei Yao (Int. J. Artif. Intell. Tools, 2021)

Global Optimization of Binary Quadratic Programming: A Neural Network Based Algorithm and Its FPGA Implementation. - Shenshen Gu; Xinyi Chen 003; Lin Wang (Neural Process. Lett., 2021)

FPGA Hardware Implementation of Efficient Long Short-Term Memory Network Based on Construction Vector Method. - Tengfei Li; Shenshen Gu (IEEE Access, 2023)

Method for solving constrained 0-1 quadratic programming problems based on pointer network and reinforcement learning. - Shenshen Gu; Yuxi Zhuang (Neural Comput. Appl., 2023)

An Improved YOLOv8 Target Detection Algorithm and Its Application in Tennis Ball Picking Robot. - Ruining Lei; Yikai Wu 003; Yulong Ren; Shenshen Gu (ISNN, 2024)

Deep Reinforcement Learning Algorithm Based on Graph Weight Multi-Pointer Network for Solving Multiobjective Traveling Salesman Problem. - Xiaoyu Fu; Shenshen Gu (IEEE Access, 2024)

A neural network algorithm framework based on graph structure for general combinatorial optimization. - Shijie Zhao; Shenshen Gu (Neurocomputing, 2024)

A deep reinforcement learning algorithm framework for solving multi-objective traveling salesman problem based on feature transformation. - Shijie Zhao; Shenshen Gu (Neural Networks, 2024)

Optimizing the multi-objective traveling salesman problem with a deep reinforcement learning algorithm using cross fusion attention networks. - Xiaoyu Fu; Shenshen Gu; Chee-Meng Chew (Neural Networks, 2025)