Qi Li

According to our database, Qi Li authored at least 19 papers between 2018 and 2025.

Collaborative distances:

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

2025

Spatial Meta Learning With Comprehensive Prior Knowledge Injection for Service Time Prediction.

Shuliang Wang, Qianyu Yang, Sijie Ruan, Cheng Long, Ye Yuan, Qi Li, Ziqiang Yuan, Jie Bao, Yu Zheng

IEEE Trans. Knowl. Data Eng., February, 2025

Optimizing the Spatial Layout of Agricultural Irrigation Sprinklers Using Remote Sensing Data: An Adaptive Incremental $K$-Means Clustering Algorithm.

Jing Geng, Shangxian Zhao, Yifei Wang, Qi Li

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Highly improve the accuracy of clustering algorithms based on shortest path distance.

Xianjun Zeng, Shuliang Wang, Qi Li, Sijie Ruan, Qianyu Yang, Haoxiang Xu

Inf. Sci., 2025

2024

Coresets for fast causal discovery with the additive noise model.

Boxiang Zhao, Shuliang Wang, Lianhua Chi, Hanning Yuan, Ye Yuan, Qi Li, Jing Geng, Shao-Liang Zhang

Pattern Recognit., April, 2024

Detecting outliers by clustering algorithms.

Qi Li, Shuliang Wang

CoRR, 2024

DWCL: Dual-Weighted Contrastive Learning for Multi-View Clustering.

Zhihui Zhang, Xiaoshuai Hao, Hanning Yuan, Lianhua Chi, Qi Guo, Qi Li, Ziqiang Yuan, Jinhui Pang, Yexin Li, Sijie Ruan

CoRR, 2024

A parameter-free clustering algorithm for missing datasets.

Qi Li, Xianjun Zeng, Shuliang Wang, Wenhao Zhu, Shijie Ruan, Zhimeng Yuan

CoRR, 2024

DiffCrime: A Multimodal Conditional Diffusion Model for Crime Risk Map Inference.

Shuliang Wang, Xinyu Pan, Sijie Ruan, Haoyu Han, Ziyu Wang, Hanning Yuan, Jiabao Zhu, Qi Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Density Clustering Algorithm Based on Shortest Path Maximum Interval.

Shuliang Wang, MingRui Dai, Qi Li, TianSheng Zhong

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Urban Sensing for Multi-Destination Workers via Deep Reinforcement Learning.

Shuliang Wang, Song Tang, Sijie Ruan, Cheng Long, Yuxuan Liang, Qi Li, Ziqiang Yuan, Jie Bao, Yu Zheng

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

HANM: Hierarchical Additive Noise Model for Many-to-One Causality Discovery.

Boxiang Zhao, Shuliang Wang, Lianhua Chi, Chuanfeng Zhao, Hanning Yuan, Qi Li, Xiaojia Liu, Jing Geng, Ye Yuan

IEEE Trans. Knowl. Data Eng., December, 2023

A novel open-set clustering algorithm.

Qi Li, Guochen Yan, Shuliang Wang, Boxiang Zhao

Inf. Sci., November, 2023

How to improve the accuracy of clustering algorithms.

Qi Li, Shuliang Wang, Xianjun Zeng, Boxiang Zhao, Yingxu Dang

Inf. Sci., May, 2023

Causal Discovery via Causal Star Graphs.

Boxiang Zhao, Shuliang Wang, Lianhua Chi, Qi Li, Xiaojia Liu, Jing Geng

ACM Trans. Knowl. Discov. Data, 2023

Density Ratio Peak Clustering.

Shuliang Wang, Xiaojia Liu, Qi Li, Hanning Yuan, Ye Yuan, Ziwen Feng, Fan Zhang

Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

2021

Extreme clustering - A clustering method via density extreme points.

Shuliang Wang, Qi Li, Chuanfeng Zhao, Xingquan Zhu, Hanning Yuan, Tianru Dai

Inf. Sci., 2021

<i>HIBOG</i>: Improving the clustering accuracy by ameliorating dataset with gravitation.

Qi Li, Shuliang Wang, Chuanfeng Zhao, Boxiang Zhao, Xin Yue, Jing Geng

Inf. Sci., 2021

2018

δ-Open set clustering - A new topological clustering method.

Shuliang Wang, Qi Li, Hanning Yuan, Deren Li, Jing Geng, Chuanfeng Zhao, Yimeng Lei, Chuanlu Liu, Chengfei Liu

WIREs Data Mining Knowl. Discov., 2018

Clustering by differencing potential of data field.

Shuliang Wang, Shaopeng Wang, Hanning Yuan, Qi Li, Jing Geng, Yang Yu

Computing, 2018