Weiwei Xie

According to our database, Weiwei Xie authored at least 19 papers between 2019 and 2026.

Collaborative distances:

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

2026

MemEvoBench: Benchmarking Memory MisEvolution in LLM Agents.

Weiwei Xie, Shaoxiong Guo, Fan Zhang, Tian Xia, Xue Yang, Lizhuang Ma, Junchi Yan, Qibing Ren

CoRR, April, 2026

Transformers are Stateless Differentiable Neural Computers.

Bo Tang, Weiwei Xie

CoRR, March, 2026

Enhanced PPE detection in low-light tunnel environments: a YOLOv5-based approach.

Menglan Wu, Weiwei Xie, Guanxian Song, Bo Yu, Chuanyi Huang, Yuge Lu, Hao Peng, Nenghao Huang, Menglong Zhu, Ming Liang

Vis. Comput., January, 2026

FCT-stock: A fusion CNN-transformer model for anomaly detection in stock volatility.

Shengdong Mu, Boyu Liu, Song Jin, Chaolung Lien, Yan Zhang, Weiwei Xie

Pattern Recognit., 2026

2025

Enhancing Materials Discovery with Valence Constrained Design in Generative Modeling.

Mouyang Cheng, Weiliang Luo, Hao Tang, Bowen Yu, Yongqiang Cheng, Weiwei Xie, Ju Li, Heather J. Kulik, Mingda Li

CoRR, July, 2025

SCR-T: Vehicle Video Frame Interpolation Based on Spatial-Channel Reconstruction and Transformers.

Weiwei Xie, Jin Lv, Xulong Li

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

The Impact of Event Preview on Pilot Attention Allocation During a Multitasking Test.

Weiwei Xie, Zhenjie Zhong, Xuling Wang, Liyao Quan, Yanyu Lu, Shan Fu

Proceedings of the Engineering Psychology and Cognitive Ergonomics, 2025

Construction of Behavioral Patterns Based on the System Monitoring Task in the Pilot Competency Testing Platform.

Liyao Quan, Zhenghao Xu, Zhengjie Zhong, Weiwei Xie, Yanyu Lu, Shan Fu

Proceedings of the Engineering Psychology and Cognitive Ergonomics, 2025

2024

Deep Learning Based Superconductivity: Prediction and Experimental Tests.

Daniel Kaplan, Adam Zhang, Joanna Blawat, Rongying Jin, Robert J. Cava, Viktor Oudovenko, Gabriel Kotliar, Anirvan M. Sengupta, Weiwei Xie

CoRR, 2024

Large Language Model-Guided Prediction Toward Quantum Materials Synthesis.

Ryotaro Okabe, Zack West, Abhijatmedhi Chotrattanapituk, Mouyang Cheng, Denisse Córdova Carrizales, Weiwei Xie, Robert J. Cava, Mingda Li

CoRR, 2024

Structural Constraint Integration in Generative Model for Discovery of Quantum Material Candidates.

Ryotaro Okabe, Mouyang Cheng, Abhijatmedhi Chotrattanapituk, Nguyen Tuan Hung, Xiang Fu, Bowen Han, Yao Wang, Weiwei Xie, Robert J. Cava, Tommi S. Jaakkola, Yongqiang Cheng, Mingda Li

CoRR, 2024

DNN surrogate model based cable force optimization for cantilever erection construction of large span arch bridge with concrete filled steel tube.

Xiaohang Zhou, Lu Cao, Weiwei Xie, Dayan Qin

Adv. Eng. Softw., 2024

2022

Artificial intelligence to detect malignant eyelid tumors from photographic images.

Zhongwen Li, Wei Qiang, Hongyun Chen, Mengjie Pei, Xiaomei Yu, Layi Wang, Zhen Li, Weiwei Xie, Xuefang Wu, Jiewei Jiang, Guohai Wu

npj Digit. Medicine, 2022

Soil Moisture Estimation Using Hyperspectral Imagery Based on Metric Learning.

Bo Tang, Weiwei Xie, Qingmin Meng, Robert J. Moorhead, Gary Feng

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2020

Deep Reinforcement Learning for Smart Home Energy Management.

Liang Yu, Weiwei Xie, Di Xie, Yulong Zou, Dengyin Zhang, Zhixin Sun, Linghua Zhang, Yue Zhang, Tao Jiang

IEEE Internet Things J., 2020

Data-Enabled Correlation Analysis between Wildfire and Climate using GIS.

Weiwei Xie, Mingyan He, Bo Tang

Proceedings of the 3rd International Conference on Information and Computer Technologies, 2020

An IoT-Oriented Universal Data Platform for Spatiotemporal Computing Services.

Weiwei Xie, Jiajie Li, Xiaowei Xu, Zhiqiang Wei, Xiaodong Wang

Proceedings of the 20th IEEE International Conference on Communication Technology, 2020

A Blockchain Consensus Mechanism for Marine Data Management System.

Ziqi Fang, Zhiqiang Wei, Xiaodong Wang, Weiwei Xie

Proceedings of the Blockchain and Trustworthy Systems - Second International Conference, 2020

2019

Deep Reinforcement Learning for Smart Home Energy Management.

Liang Yu, Weiwei Xie, Di Xie, Yulong Zou, Dengying Zhang, Zhixin Sun, Linghua Zhang, Tao Jiang

CoRR, 2019