Tianxiang Cui

According to our database, Tianxiang Cui authored at least 43 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

LLM4Netlist: LLM-Enabled Step-Based Netlist Generation From Natural Language Description.

Kailiang Ye, Qingyu Yang, Zheng Lu, Heng Yu, Tianxiang Cui, Ruibin Bai, Linlin Shen

IEEE J. Emerg. Sel. Topics Circuits Syst., June, 2025

Evaluation of optical and microwave-derived vegetation indices for monitoring aboveground biomass over China.

Zhongbing Chang, Lei Fan, Jean-Pierre Wigneron, Ying-Ping Wang, Xiaojun Li, Mengjia Wang, Xiangzhuo Liu, Huan Wang, Tianxiang Cui, Ling Yu, Jianping Wu, Xin Xiong, Shuo Zhang, Xuli Tang, Junhua Yan

Geo spatial Inf. Sci., March, 2025

LGPS: A Lightweight GAN-Based Approach for Polyp Segmentation in Colonoscopy Images.

Fiseha B. Tesema, Alejandro Guerra Manzanares, Tianxiang Cui, Qian Zhang, Moses Solomon, Sean He

CoRR, March, 2025

Evaluating Denoising Approaches for RGB-Infrared Images: Systematic Review and Comparative Analysis of Traditional Methods and Performance Metrics.

Yuan Yu, Boon-Giin Lee, Qian Zhang, Tianxiang Cui

J. Signal Process. Syst., February, 2025

FiDRL: Flexible Invocation-Based Deep Reinforcement Learning for DVFS Scheduling in Embedded Systems.

Jingjin Li, Weixiong Jiang, Yuting He, Qingyu Yang, Anqi Gao, Yajun Ha, Ender Özcan, Ruibin Bai, Tianxiang Cui, Heng Yu

IEEE Trans. Computers, January, 2025

An ensemble velocity learning strategy for particle swarm optimization integrating multiple local search mechanisms.

Libin Hong, Zhantao Gu, Tianxiang Cui

Eng. Appl. Artif. Intell., 2025

Routing and driver break scheduling with working and driving regulations: A flexible approach for various general pickup and delivery problem variants.

Ning Xue, Huan Jin, Tianxiang Cui

Comput. Oper. Res., 2025

Accelerating Convergence in Bounding Box Regression with a Refined IoU Loss Function.

Enhui Chai, Xingyu Li, Tianxiang Cui, Zheng Lu, Fiseha Berhanu Tesema

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Enhancing Cryptocurrency Trading Strategies: A Deep Reinforcement Learning Approach Integrating Multi-Source LLM Sentiment Analysis.

Nanjiang Du, Yida Zhao, Jintao Wang, Yicheng Zhu, Siyu Xie, Luyao Yang, Yiru Tong, Shengzhe Xu, Wangying Zhang, Zecheng Tang, Kai Xu, Jianfeng Ren, Tianxiang Cui

Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2025

An Enhanced Multi-Objective Evolutionary Algorithm for Adaptive-Formation Multi-UAV Task Allocation with Load-Dependent Constraints.

Tuo Hu, Xiaoying Yang, Fuhua Jia, Hang Xu, Kai Yang, Tianxiang Cui

Proceedings of the IEEE Congress on Evolutionary Computation, 2025

2024

Publisher Correction: Multiple information perception-based attention in YOLO for underwater object detection.

Xin Shen, Huibing Wang, Tianxiang Cui, Zhicheng Guo, Xianping Fu

Vis. Comput., April, 2024

Multiagent Deep Reinforcement Learning for Electric Vehicle Fast Charging Station Pricing Game in Electricity-Transportation Nexus.

Xiaoying Yang, Tianxiang Cui, Hongru Wang, Yujian Ye

IEEE Trans. Ind. Informatics, April, 2024

Multiple information perception-based attention in YOLO for underwater object detection.

Xin Shen, Huibing Wang, Tianxiang Cui, Zhicheng Guo, Xianping Fu

Vis. Comput., March, 2024

A scenario-customizable and visual-rendering simulator for on-vehicle vibration energy harvesting.

Fangcheng Guo, Jingjin Li, Chung Ket Thein, Anqi Gao, Jianfeng Ren, Chang Heon Lee, Jiawei Li, Tianxiang Cui, Heng Yu

Sustain. Comput. Informatics Syst., 2024

A pattern-based algorithm with fuzzy logic bin selector for online bin packing problem.

Bingchen Lin, Jiawei Li, Tianxiang Cui, Huan Jin, Ruibin Bai, Rong Qu, Jon Garibaldi

Expert Syst. Appl., 2024

Mobile robot sequential decision making using a deep reinforcement learning hyper-heuristic approach.

Tianxiang Cui, Xiaoying Yang, Fuhua Jia, Jiahuan Jin, Yujian Ye, Ruibin Bai

Expert Syst. Appl., 2024

Container port truck dispatching optimization using Real2Sim based deep reinforcement learning.

Jiahuan Jin, Tianxiang Cui, Ruibin Bai, Rong Qu

Eur. J. Oper. Res., 2024

End-to-end Generative Spatial-Temporal Ultrasonic Odometry and Mapping Framework.

Fuhua Jia, Xiaoying Yang, Mengshen Yang, Yang Li, Hang Xu, Adam Rushworth, Salman Ijaz, Heng Yu, Tianxiang Cui

CoRR, 2024

An End-to-end Framework for Few-shot Millimeter-wave Radar-based Hand Gesture Recognition.

Yulin Ye, Tianxiang Cui, Shisheng Guo, Guolong Cui

Proceedings of the International Joint Conference on Neural Networks, 2024

Cardinality and Bounding Constrained Portfolio Optimization Using Safe Reinforcement Learning.

Yiran Li, Nanjiang Du, Xingke Song, Xiaoying Yang, Tianxiang Cui, Ning Xue, Amin Farjudian, Jianfeng Ren, Wooi Ping Cheah

Proceedings of the International Joint Conference on Neural Networks, 2024

Fast One-Stage Unsupervised Domain Adaptive Person Search.

Tianxiang Cui, Huibing Wang, Jinjia Peng, Ruoxi Deng, Xianping Fu, Yang Wang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Evolution-Assisted Deep Reinforcement Learning for Fast Charging Station Coordinated Operation.

Xiaoying Yang, Yujing Gu, Fuhua Jia, Yiran Li, Hongru Wang, Nanjiang Du, Tianxiang Cui, Yujian Ye, Ruibin Bai

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

Domain adaptive person search via GAN-based scene synthesis for cross-scene videos.

Huibing Wang, Tianxiang Cui, Mingze Yao, Huijuan Pang, Yushan Du

Image Vis. Comput., October, 2023

Monitoring of Drought Stress in Chinese Forests Based on Satellite Solar-Induced Chlorophyll Fluorescence and Multi-Source Remote Sensing Indices.

Huipeng Ma, Tianxiang Cui, Lin Cao

Remote. Sens., February, 2023

Analytics and machine learning in vehicle routing research.

Ruibin Bai, Xinan Chen, Zhi-Long Chen, Tianxiang Cui, Shuhui Gong, Wentao He, Xiaoping Jiang, Huan Jin, Jiahuan Jin, Graham Kendall, Jiawei Li, Zheng Lu, Jianfeng Ren, Paul Weng, Ning Xue, Huayan Zhang

Int. J. Prod. Res., 2023

Low-Cost Automated Visual Screw Inspection System.

Yiran Li, Jiayi Li, Xiaoying Yang, Cheng'ao Li, Xihan Xiong, Yutong Fang, Shusheng Ding, Tianxiang Cui

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Prediction of Flight Arrival Delay Time Using U.S. Bureau of Transportation Statistics.

Jiarui Li, Ran Ji, Cheng'ao Li, Xiaoying Yang, Jiayi Li, Yiran Li, Xihan Xiong, Yutong Fang, Shusheng Ding, Tianxiang Cui

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

2022

Identify Patterns in Online Bin Packing Problem: An Adaptive Pattern-Based Algorithm.

Bingchen Lin, Jiawei Li, Ruibin Bai, Rong Qu, Tianxiang Cui, Huan Jin

Symmetry, 2022

An Efficient Asymmetric Nonlinear Activation Function for Deep Neural Networks.

Enhui Chai, Wei Yu, Tianxiang Cui, Jianfeng Ren, Shusheng Ding

Symmetry, 2022

ScatterHough: Automatic Lane Detection from Noisy LiDAR Data.

Honghao Zeng, Shihong Jiang, Tianxiang Cui, Zheng Lu, Jiawei Li, Boon-Giin Lee, Junsong Zhu, Xiaoying Yang

Sensors, 2022

An Improved Ant Colony Approach for the Competitive Traveling Salesmen Problem.

Xinyang Du, Ruibin Bai, Tianxiang Cui, Rong Qu, Jiawei Li

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

You Get What You Focus on: A Weighting Factor for IoU-based Regression Loss.

Xinyu Gu, Chao Gao, Zheng Lu, Tianxiang Cui

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

A hybrid combinatorial approach to a two-stage stochastic portfolio optimization model with uncertain asset prices.

Tianxiang Cui, Ruibin Bai, Shusheng Ding, Andrew J. Parkes, Rong Qu, Fang He, Jingpeng Li

Soft Comput., 2020

Forecasting stock market return with nonlinearity: a genetic programming approach.

Shusheng Ding, Tianxiang Cui, Xihan Xiong, Ruibin Bai

J. Ambient Intell. Humaniz. Comput., 2020

2018

Estimation of Global Vegetation Productivity from Global LAnd Surface Satellite Data.

Tao Yu, Rui Sun, Zhiqiang Xiao, Qiang Zhang, Gang Liu, Tianxiang Cui, Juanmin Wang

Remote. Sens., 2018

2017

Estimating Diurnal Courses of Gross Primary Production for Maize: A Comparison of Sun-Induced Chlorophyll Fluorescence, Light-Use Efficiency and Process-Based Models.

Tianxiang Cui, Rui Sun, Chen Qiao, Qiang Zhang, Tao Yu, Gang Liu, Zhigang Liu

Remote. Sens., 2017

2016

Research on scale effect of vegetation net primary productivity.

Chen Qiao, Rui Sun, Tianxiang Cui

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Assessing the factors determining the relationship between solar-induced chlorophyll fluorescence and GPP.

Tianxiang Cui, Rui Sun, Chen Qiao

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015

Dynamic simulation of vegetation abundance in a reservoir riparian zone using a sub-pixel Markov model.

Zhaoning Gong, Tianxiang Cui, Ruiliang Pu, Chuan Lin, Yuzhu Chen

Int. J. Appl. Earth Obs. Geoinformation, 2015

A hybrid genetic algorithm for a two-stage stochastic portfolio optimization with uncertain asset prices.

Tianxiang Cui, Ruibin Bai, Andrew J. Parkes, Fang He, Rong Qu, Jingpeng Li

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

A combinatorial algorithm for the cardinality constrained portfolio optimization problem.

Tianxiang Cui, Shi Cheng, Ruibin Bai

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013

Canopy water content estimation for typical emerged plant community from simulation worldview-2 data: A case study in Wild Duck Lake wetland, Beijing.

Chuan Lin, Zhaoning Gong, Wen-Ji Zhao, Tianxiang Cui

Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

An ensemble based Genetic Programming system to predict English football premier league games.

Tianxiang Cui, Jingpeng Li, John Robert Woodward, Andrew J. Parkes

Proceedings of the 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2013