百晓学者学者目录

顾申申

博士生导师、教授,上海大学

精选作品

期刊论文

2026

FPGA‐Accelerated Real‐Time Tennis Serving Robot With DSP‐Efficient Convolutional Neural Network

Tengfei Li, Shenshen Gu, Yulong Ren

Concurrency and Computation Practice and Experience

2026

Towards Generalizable Meta-Deep Reinforcement Learning Algorithm for Multiobjective Traveling Salesman Problems

Xiaoyu Fu, Shenshen Gu, Chee-Meng Chew, Tengfei Li

IEEE Transactions on Artificial Intelligence

2025

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

Learning to Variable Selection with Hybrid Convolutional and Attentional Graph Neural Networks

Xilin Zhang, Shenshen Gu

2025

Design and Implementation of Real-Time Target Recognition System for FPGA-Based Tennis Serving Robot

Yikai Wu, Tengfei Li, Yulong Ren, Runji Lei, Shenshen Gu

2025

A Framework for Solving Quadratic Knapsack Problem Based on Deep Reinforcement Learning

Jiajia Huang, Shijie Zhao, Xiaoyu Fu, Shenshen Gu

International Conference on Intelligent Control and Information Processing

2024

An FPGA-based Convolutional Neural Network Accelerator for Edge Computing

Tengfei Li, Shenshen Gu

International Conference on Robotics and Automation Engineering (ICRAE)

2024

Learning to Branch in Combinatorial Optimization with Hybrid Convolutional and Attentional Graph Neural Networks

Xilin Zhang, Shenshen Gu

International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC)

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

A neural network algorithm framework based on graph structure for general combinatorial optimization

Shijie Zhao, Shenshen Gu

Neurocomputing

2024

A Method for Large Scale Unconstrained Binary Quadratic Programming Problem Based on Graph Neural Network

Jia-jia Huang, Shenshen Gu

International Conference on Intelligent Control and Information Processing

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

An Improved YOLOv8 Target Detection Algorithm and Its Application in Tennis Ball Picking Robot

Ruining Lei, Yikai Wu, Yulong Ren, Shenshen Gu

Lecture notes in computer science

2023

An Improved Multi-objective Path Planning Algorithm and its Application to Tennis Ball Collection Robots

Ruining Lei, Shenshen Gu

International Conference on Information Science and Technology

2023

FPGA Hardware Implementation of Efficient Long Short-Term Memory Network Based on Construction Vector Method

Tengfei Li, Shenshen Gu

IEEE Access

2022

Method for solving constrained 0-1 quadratic programming problems based on pointer network and reinforcement learning

Shenshen Gu, Yuxi Zhuang

Neural Computing and Applications

2021

Tennis Ball Collection Robot Based on MobileNet-SSD

Zheqi Zhu, Yingjia Gao, Shenshen Gu

International Conference on Intelligent Control and Information Processing

2021

FPGA Implementation of Object Detection Accelerator Based on Vitis-AI

Jin Wang, Shenshen Gu

International Conference on Information Science and Technology

2021

Pointer Network Based Deep Learning Algorithm for the Maximum Clique Problem

Shenshen Gu, Hanmei Yao

International Journal of Artificial Intelligence Tools

2021

Editorial

Sitian Qin, Shenshen Gu, Nian Zhang

International Journal of Artificial Intelligence Tools

2020

含高比例风电的电力市场电价预测

姚子麟,张亮,邹斌,顾申申

《电力系统自动化》

2020

Recent Developments in Dynamic Modeling, Control and Applications of Neural Networks

Sitian Qin, Shenshen Gu, Nian Zhang

Cybernetics & Systems

2020

A Pointer Network Based Deep Learning Algorithm for Maximum Clique Problem

Shenshen Gu, Hanmei Yao

International Conference on Information Science and Technology

2020

The Basic Algorithm for Zero-One Unconstrained Quadratic Programming Problem with k-diagonal Matrix

Shenshen Gu, Xinyi Chen

International Conference on Advanced Computational Intelligence (ICACI)

2020

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 Ting Cheng, Jiang Liu

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society

2020

A pointer network based deep learning algorithm for unconstrained binary quadratic programming problem

Shenshen Gu, Tao Hao, Hanmei Yao

Neurocomputing

2020

A Deep Learning Algorithm for the Max-Cut Problem Based on Pointer Network Structure with Supervised Learning and Reinforcement Learning Strategies

Shenshen Gu, Yang Yue

Mathematics

2020

The Basic Algorithm for the Constrained Zero-One Quadratic Programming Problem with k-diagonal Matrix and Its Application in the Power System

Shenshen Gu, Xinyi Chen

Mathematics

2019

Global Optimization of Binary Quadratic Programming: A Neural Network Based Algorithm and Its FPGA Implementation

Shenshen Gu, Xinyi Chen, Lin Wang

Neural Processing Letters

2019

Intelligent Tennis Robot Based on a Deep Neural Network

Shenshen Gu, Wei Zeng, Yuxuan Jia, Zheng Yan

Applied Sciences

2019

An Algorithm of Dynamically-Connected Deep Neural Network

Yize Tang, Shenshen Gu

International Conference on Intelligent Human-Machine Systems and Cybernetics

2019

Neurodynamics-Based Receding Horizon Control of an HVAC System

Jiasen Wang, Jun Wang, Jun Wang, Jun Wang, Shenshen Gu

Lecture notes in computer science

2018

A Complex-Valued VGG Network Based Deep Learing Algorithm for Image Recognition

Shenshen Gu, Lu Ding

International Conference on Intelligent Control and Information Processing

2018

A Deep Learning Tennis Ball Collection Robot and the Implementation on NVIDIA Jetson TX1 Board

Shenshen Gu, Xinyi Chen, Wei Zeng, Xin Wang

IEEE/ASME International Conference on Advanced Intelligent Mechatronics

2018

A pointer network based deep learning algorithm for 0–1 Knapsack Problem

Shenshen Gu, Tao Hao

International Conference on Advanced Computational Intelligence (ICACI)

2018

The Implementation of a Pointer Network Model for Traveling Salesman Problem on a Xilinx PYNQ Board

Shenshen Gu, Tao Hao, Shaofu Yang

Lecture notes in computer science

2018

A Pointer Network Based Deep Learning Algorithm for the Max-Cut Problem

Shenshen Gu, Yang Yue

Lecture notes in computer science

2018

A Neural Network Based Global Optimal Algorithm for Unconstrained Binary Quadratic Programming Problem

Shenshen Gu, Xinyi Chen

Lecture notes in computer science

2017

A new deep learning method based on AlexNet model and SSD model for tennis ball recognition

Shenshen Gu, Lu Ding, Yue Yang, Xinyi Chen

IEEE International Workshop on Computational Intelligence and Applications (IWCIA)

2017

FPGA Implementation of the L Smallest k-Subsets Sum Problem Based on the Finite-Time Convergent Recurrent Neural Network

Shenshen Gu, Xiaowen Wang

Lecture notes in computer science

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

Lecture notes in computer science

2016

A projection based recurrent neural network approach to compute the distance between a point and an ellipsoid with box constraint

Shenshen Gu, Peng Jiao, Jiarui Zhang

Youth Academic Annual Conference of Chinese Association of Automation (YAC)

2016

Polynomial time solvable algorithms to a class of unconstrained and linearly constrained binary quadratic programming problems

Shenshen Gu, Rui Cui, Peng Jiao

Neurocomputing

2016

FPGA implementation of K-Winners-Take-All neural network based on linear programming formulation

Shenshen Gu, Jiarui Zhang

International Conference on Advanced Computational Intelligence (ICACI)

2015

A neural network based algorithm to compute the distance between a point and an ellipsoid

Shenshen Gu, Peng Jiao

International Conference on Advanced Computational Intelligence (ICACI)

2014

An efficient algorithm for the subset sum problem based on finite-time convergent recurrent neural network

Shenshen Gu, Rui Cui

Neurocomputing

2014

Polynomial time solvable algorithm to linearly constrained binary quadratic programming problems with Q being a five-diagonal matrix

Shenshen Gu, Rui Cui

International Conference on Intelligent Control and Information Processing

2014

A Polynomial Time Solvable Algorithm to Binary Quadratic Programming Problems with Q Being a Seven-Diagonal Matrix and Its Neural Network Implementation

Shenshen Gu, Peng Jiao, Rui Cui

Lecture notes in computer science

2013

A Finite-Time Convergent Recurrent Neural Network Based Algorithm for the L Smallest k-Subsets Sum Problem

Shenshen Gu

Lecture notes in computer science

2010

Polynomial time solvable algorithms to binary quadratic programming problems with Q being a tri-diagonal or five-diagonal matrix

Shenshen Gu

International Conference on Wireless Communications and Signal Processing (WCSP)

2005

A chaotic neural network for the attributed relational graph matching problem in pattern recognition

Shenshen Gu, Songnian Yu

2005

An Improved Transiently Chaotic Neural Network for Solving the K-Coloring Problem

Shenshen Gu

Lecture notes in computer science

2004

A chaotic neural network for the graph coloring problem in VLSI channel routing

Shenshen Gu, Songnian Yu

International Conference on Communications, Circuits and Systems

2004

A Chaotic Neural Network for the Maximum Clique Problem

Shenshen Gu, Songnian Yu

Lecture notes in computer science

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