唐建新｜苏州大学｜学者主页

2026

基于太赫兹时域光谱技术的陶瓷胶粘结构胶层厚度均匀性评价方法

唐建新，王运生，曹俊倡，朱保鑫，张京生，姜立平，王响，方炫杰

《佛山陶瓷》

2026

水合三环己基锡茶碱-7-乙酸配合物的合成、结构及性能（英文）

何丽芳，罗尧泽，石琦瑛，唐建新，张复兴，朱小明

《无机化学学报》

2026

“以教促研、以研强教”的探索与实践——以“光学”课程为例

陈敬德，魏健，任昊，唐建新

《教育教学论坛》

2026

Artificial bee colony meets variable neighborhood search: Fresh insights into influence maximization in social networks

Jianxin Tang, Fang-Jie Dong, Chen Wu, Wenhuan Chen, Huiyi Wei

Swarm and Evolutionary Computation

DOI

2026

Structural evolutionary agent meets deep learning: a novel incremental updating framework for dynamic influence maximization in temporal social networks

Jianxin Tang, Jitao Qu, Chen-Shu Li, Jian Shi, Chunxiao Wang

International Journal of Machine Learning and Cybernetics

DOI

2026

Orchestrating the differential evolution via fitness landscape state for the influence maximization problem in social networks

Jianxin Tang, Juan Pang, Lele Geng, Jiaqiang Fu, Tianpeng Xu

Neurocomputing

DOI

2026

Reinforce the particle swarm optimization with variable neighborhood search for the influence maximization problem in social networks

Jianxin Tang, Xinyue Li, Huiyi Wei, Juan Pang, Chen Wu

Journal of Big Data

DOI

2026

Optimizing influence spread in multilayer networks: A layer-weighted budget allocation and community-based local dominance approach

Jianxin Tang, Lijun Liu, Chen-Shu Li, Xin Wang, Ping Wang

Physica A: Statistical Mechanics and its Applications

DOI

2026

Deep reinforcement learning via structure-aware cross-layer node representation for influence maximization in multilayer heterogeneous networks

Chen-Shu Li, Jianxin Tang, Lijun Liu, Ping Wang, Bing-Gang Ren, Bingkun Liang

Neurocomputing

DOI

2026

NMFL: Coupling probabilistic diffusion dynamics with fitness landscape analysis for influence maximization problem in social networks

Lele Geng, Jianxin Tang, Fu-Qing Zhao, Juan Pang, Shao-Bo Zhang

Information Processing & Management

DOI

2025

金属卤化物钙钛矿电致发光稳定性研究进展（特邀）

唐建新，熊妮，曹欣宇，沈阳

《中国激光》

2025

基于2,2′-联吡啶-6,6′-二甲酸构筑的两个二烃基锡配合物的合成、结构及抗癌活性

何丽芳，唐文杰，罗尧泽，梁明勝，唐建新，吴雨萱，张复兴，朱小明

《无机化学学报》

2025

多硼效应实现高效率窄谱带蓝光OLED研究进展（特邀）

唐建新，陈国威，张震，何益辉，袁国，李艳青

《光学学报(网络版)》

2025

Probing for high influential nodes in social networks via a co-evolutionary memetic algorithm

Jianxin Tang, Yi-Hui Li, Jitao Qu, Xinyue Li, Yabing Yao

Physica A: Statistical Mechanics and its Applications

DOI

2025

CLDE: a competitive learning-driven differential evolution optimization for the influence maximization problem in social networks

Bao-Qiang Chai, Rui-Sheng Zhang, Xinyue Li, Jianxin Tang

Journal of Supercomputing

DOI

2025

Probing the fitness landscape of the influential nodes for the influence maximization problem in social networks

Jianxin Tang, Jiaqiang Fu, Xinyue Li, Lele Geng, Juan Pang

Swarm and Evolutionary Computation

DOI

2025

A layer weight-driven evolutionary optimization for influence maximization problem in multilayer social networks

Jianxin Tang, Lijun Liu, Jitao Qu, Chen-Shu Li

Journal of Supercomputing

DOI

2025

MKGCN: a novel multi-channel KAN-GCN model for scalable link prediction

Lihong Han, Kan Yang, Kuan Ching Li, Jianxin Tang

Physica Scripta

DOI

2024

Identifying influential spreaders in social networks: A two-stage quantum-behaved particle swarm optimization with Lévy flight

卢鹏丽，揽继茂，唐建新，张莉，宋仕辉，朱虹羽

Chinese Physics B

2024

A Hybrid Dynamic Memetic Algorithm for the Influence Maximization Problem in Social Networks

Jianxin Tang, Yi-Hui Li

International Journal of Modern Physics C

DOI

2024

GCNT: Identify influential seed set effectively in social networks by integrating graph convolutional networks with graph transformers

Jianxin Tang, Jitao Qu, Shihui Song, Zhi-Li Zhao, Qian Du

Journal of King Saud University: Computer and Information Sciences

DOI

2024

Graph convolutional networks with the self-attention mechanism for adaptive influence maximization in social networks

Jianxin Tang, Shihui Song, Qian Du, Yabing Yao, Jitao Qu

Complex & Intelligent Systems

DOI

2024

An adaptive differential evolution algorithm driven by multiple probabilistic mutation strategies for influence maximization in social networks

Jianxin Tang, Qian Du

International Journal of Modern Physics C

DOI

2024

Identifying top-k influential nodes in social networks: a discrete hybrid optimizer by integrating butterfly optimization algorithm with differential evolution

Jianxin Tang, Hongyu Zhu, Lihong Han, Shihui Song

Journal of Supercomputing

DOI

2023

陶瓷透波材料的特性及粘接强度影响研究

王响，张庆利，王艳艳，王洪升，唐建新

《粘接》

2023

紫外和近紫外有机电致发光二极管研究进展

王瀚洋，朱元烨，谢凤鸣，李艳青，唐建新

《发光学报》

2023

Sequential seeding policy on social influence maximization: a Q-learning-driven discrete differential evolution optimization

Jianxin Tang, Shihui Song, Hongyu Zhu, Qian Du, Jitao Qu

Journal of Supercomputing

DOI

2022

浅析费马原理中“光程平稳”表述的含义

陈敬德，唐建新

《广西物理》

2021

干法瓷绝缘子用微晶氧化铝配方的应用研究

唐建新，王艳艳，邢政鹏

《现代技术陶瓷》

DOI

唐建新

精选作品

期刊论文

基于太赫兹时域光谱技术的陶瓷胶粘结构胶层厚度均匀性评价方法

水合三环己基锡茶碱-7-乙酸配合物的合成、结构及性能（英文）

“以教促研、以研强教”的探索与实践——以“光学”课程为例

Artificial bee colony meets variable neighborhood search: Fresh insights into influence maximization in social networks

Structural evolutionary agent meets deep learning: a novel incremental updating framework for dynamic influence maximization in temporal social networks

Orchestrating the differential evolution via fitness landscape state for the influence maximization problem in social networks

Reinforce the particle swarm optimization with variable neighborhood search for the influence maximization problem in social networks

Optimizing influence spread in multilayer networks: A layer-weighted budget allocation and community-based local dominance approach

Deep reinforcement learning via structure-aware cross-layer node representation for influence maximization in multilayer heterogeneous networks

NMFL: Coupling probabilistic diffusion dynamics with fitness landscape analysis for influence maximization problem in social networks

金属卤化物钙钛矿电致发光稳定性研究进展（特邀）

基于2,2′-联吡啶-6,6′-二甲酸构筑的两个二烃基锡配合物的合成、结构及抗癌活性

多硼效应实现高效率窄谱带蓝光OLED研究进展（特邀）

Probing for high influential nodes in social networks via a co-evolutionary memetic algorithm

CLDE: a competitive learning-driven differential evolution optimization for the influence maximization problem in social networks

Probing the fitness landscape of the influential nodes for the influence maximization problem in social networks

A layer weight-driven evolutionary optimization for influence maximization problem in multilayer social networks

MKGCN: a novel multi-channel KAN-GCN model for scalable link prediction

Identifying influential spreaders in social networks: A two-stage quantum-behaved particle swarm optimization with Lévy flight

A Hybrid Dynamic Memetic Algorithm for the Influence Maximization Problem in Social Networks

GCNT: Identify influential seed set effectively in social networks by integrating graph convolutional networks with graph transformers

Graph convolutional networks with the self-attention mechanism for adaptive influence maximization in social networks

An adaptive differential evolution algorithm driven by multiple probabilistic mutation strategies for influence maximization in social networks

Identifying top-k influential nodes in social networks: a discrete hybrid optimizer by integrating butterfly optimization algorithm with differential evolution

陶瓷透波材料的特性及粘接强度影响研究

紫外和近紫外有机电致发光二极管研究进展

Sequential seeding policy on social influence maximization: a Q-learning-driven discrete differential evolution optimization

浅析费马原理中“光程平稳”表述的含义

干法瓷绝缘子用微晶氧化铝配方的应用研究