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Journal Articles
- 2024
[j11]Shijie Zhao
, Shenshen Gu:
A neural network algorithm framework based on graph structure for general combinatorial optimization. Neurocomputing 587: 127670 (2024)- [j10]Shijie Zhao, Shenshen Gu:
A deep reinforcement learning algorithm framework for solving multi-objective traveling salesman problem based on feature transformation. Neural Networks 176: 106359 (2024) - 2023
- [j9]Tengfei Li, Shenshen Gu:
FPGA Hardware Implementation of Efficient Long Short-Term Memory Network Based on Construction Vector Method. IEEE Access 11: 122357-122367 (2023) - [j8]Shenshen Gu, Yuxi Zhuang:
Method for solving constrained 0-1 quadratic programming problems based on pointer network and reinforcement learning. Neural Comput. Appl. 35(14): 9973-9993 (2023) - 2021
- [j7]Sitian Qin, Shenshen Gu, Nian Zhang:
Recent Developments in Dynamic Modeling, Control and Applications of Neural Networks. Cybern. Syst. 52(1): 1-2 (2021) - [j6]Shenshen Gu, Hanmei Yao:
Pointer Network Based Deep Learning Algorithm for the Maximum Clique Problem. Int. J. Artif. Intell. Tools 30(1): 2140004:1-2140004:21 (2021) - [j5]Shenshen Gu, Xinyi Chen, Lin Wang:
Global Optimization of Binary Quadratic Programming: A Neural Network Based Algorithm and Its FPGA Implementation. Neural Process. Lett. 53(3): 1665-1684 (2021) - 2020
- [j4]Shenshen Gu, Tao Hao, Hanmei Yao:
A pointer network based deep learning algorithm for unconstrained binary quadratic programming problem. Neurocomputing 390: 1-11 (2020) - 2016
- [j3]Shenshen Gu, Rui Cui, Jiao Peng:
Polynomial time solvable algorithms to a class of unconstrained and linearly constrained binary quadratic programming problems. Neurocomputing 198: 171-179 (2016) - 2015
- [j2]Shenshen Gu, Rui Cui:
An efficient algorithm for the subset sum problem based on finite-time convergent recurrent neural network. Neurocomputing 149: 13-21 (2015) - 2011
- [j1]Duan Li, Xiaoling Sun, Jianjun Gao, Shenshen Gu, Xiaojin Zheng:
Reachability determination in acyclic Petri nets by cell enumeration approach. Autom. 47(9): 2094-2098 (2011)
Conference and Workshop Papers
- 2024
- [c20]Ruining Lei, Yikai Wu, Yulong Ren, Shenshen Gu:
An Improved YOLOv8 Target Detection Algorithm and Its Application in Tennis Ball Picking Robot. ISNN 2024: 186-197 - 2020
- [c19]Xiaoqian Mao, Yitian Zhao, Bang Chen, Yuhui Ma, Zaiwang Gu, Shenshen Gu, Jianlong Yang, Jun Cheng, Jiang Liu:
Deep Learning with Skip Connection Attention for Choroid Layer Segmentation in OCT Images. EMBC 2020: 1641-1645 - [c18]Shenshen Gu, Xinyi Chen:
The Basic Algorithm for Zero-One Unconstrained Quadratic Programming Problem with k-diagonal Matrix. ICACI 2020: 609-613 - 2019
- [c17]Jiasen Wang, Jun Wang, Shenshen Gu:
Neurodynamics-Based Receding Horizon Control of an HVAC System. ISNN (2) 2019: 120-128 - 2018
- [c16]Shenshen Gu, Xinyi Chen, Wei Zeng, Xin Wang:
A Deep Learning Tennis Ball Collection Robot and the Implementation on NVIDIA Jetson TX1 Board. AIM 2018: 170-175 - [c15]Shenshen Gu, Tao Hao:
A pointer network based deep learning algorithm for 0-1 Knapsack Problem. ICACI 2018: 473-477 - [c14]Shenshen Gu, Yue Yang:
A Pointer Network Based Deep Learning Algorithm for the Max-Cut Problem. ICONIP (1) 2018: 238-248 - [c13]Shenshen Gu, Xinyi Chen:
A Neural Network Based Global Optimal Algorithm for Unconstrained Binary Quadratic Programming Problem. ICONIP (2) 2018: 577-587 - [c12]Shenshen Gu, Tao Hao, Shaofu Yang:
The Implementation of a Pointer Network Model for Traveling Salesman Problem on a Xilinx PYNQ Board. ISNN 2018: 130-138 - 2017
- [c11]Shenshen Gu, Lu Ding, Yue Yang, Xinyi Chen:
A new deep learning method based on AlexNet model and SSD model for tennis ball recognition. IWCIA 2017: 159-164 - [c10]Shenshen Gu, Xiaowen Wang:
FPGA Implementation of the Projection Based Recurrent Neural Network Approach to Compute the Distance Between a Point and an Ellipsoid. ICONIP (6) 2017: 174-181 - [c9]Shenshen Gu, Xiaowen Wang:
FPGA Implementation of the L Smallest k-Subsets Sum Problem Based on the Finite-Time Convergent Recurrent Neural Network. ISNN (1) 2017: 337-345 - 2016
- [c8]Shenshen Gu, Jiarui Zhang:
FPGA implementation of K-Winners-Take-All neural network based on linear programming formulation. ICACI 2016: 55-59 - 2015
- [c7]Shenshen Gu, Jiao Peng:
A neural network based algorithm to compute the distance between a point and an ellipsoid. ICACI 2015: 294-299 - 2014
- [c6]Shenshen Gu, Jiao Peng, Rui Cui:
A Polynomial Time Solvable Algorithm to Binary Quadratic Programming Problems with Q Being a Seven-Diagonal Matrix and Its Neural Network Implementation. ISNN 2014: 338-346 - 2013
- [c5]Shenshen Gu:
A Finite-Time Convergent Recurrent Neural Network Based Algorithm for the L Smallest k-Subsets Sum Problem. ISNN (1) 2013: 19-27 - 2010
- [c4]Shenshen Gu:
Polynomial time solvable algorithms to binary quadratic programming problems with Q being a tri-diagonal or five-diagonal matrix. WCSP 2010: 1-5 - 2007
- [c3]Shenshen Gu, Jun Wang:
A K-Winners-Take-All Neural Network Based on Linear Programming Formulation. IJCNN 2007: 37-40 - 2005
- [c2]Shenshen Gu:
An Improved Transiently Chaotic Neural Network for Solving the K-Coloring Problem. ISNN (1) 2005: 750-755 - 2004
- [c1]Shenshen Gu, Songnian Yu:
A Chaotic Neural Network for the Maximum Clique Problem. Canadian AI 2004: 391-405
Coauthor Index
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