Zhishuai Li

According to our database, Zhishuai Li authored at least 27 papers between 2018 and 2024.

Collaborative distances:

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

2024

TrajSGAN: A Semantic-Guiding Adversarial Network for Urban Trajectory Generation.

Gang Xiong, Zhishuai Li, Meihua Zhao, Yu Zhang, Qinghai Miao, Yisheng Lv, Fei-Yue Wang

IEEE Trans. Comput. Soc. Syst., April, 2024

A Spatial-Temporal Approach for Multi-Airport Traffic Flow Prediction Through Causality Graphs.

Wenbo Du, Shenwen Chen, Zhishuai Li, Xianbin Cao, Yisheng Lv

IEEE Trans. Intell. Transp. Syst., January, 2024

PET-SQL: A Prompt-enhanced Two-stage Text-to-SQL Framework with Cross-consistency.

Zhishuai Li, Xiang Wang, Jingjing Zhao, Sun Yang, Guoqing Du, Xiaoru Hu, Bin Zhang, Yuxiao Ye, Ziyue Li, Rui Zhao, Hangyu Mao

CoRR, 2024

Benchmarking the Text-to-SQL Capability of Large Language Models: A Comprehensive Evaluation.

Bin Zhang, Yuxiao Ye, Guoqing Du, Xiaoru Hu, Zhishuai Li, Sun Yang, Chi Harold Liu, Rui Zhao, Ziyue Li, Hangyu Mao

CoRR, 2024

Spatial-Temporal Large Language Model for Traffic Prediction.

Chenxi Liu, Sun Yang, Qianxiong Xu, Zhishuai Li, Cheng Long, Ziyue Li, Rui Zhao

CoRR, 2024

Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical Learning.

Zhishuai Li, Yunhao Nie, Ziyue Li, Lei Bai, Yisheng Lv, Rui Zhao

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Airport Capacity Prediction With Multisource Features: A Temporal Deep Learning Approach.

Wenbo Du, Shenwen Chen, Haitao Li, Zhishuai Li, Xianbin Cao, Yisheng Lv

IEEE Trans. Intell. Transp. Syst., January, 2023

STGSA: A Novel Spatial-Temporal Graph Synchronous Aggregation Model for Traffic Prediction.

Zebing Wei, Hongxia Zhao, Zhishuai Li, Xiaojie Bu, Yuanyuan Chen, Xiqiao Zhang, Yisheng Lv, Fei-Yue Wang

IEEE CAA J. Autom. Sinica, 2023

VisionTraj: A Noise-Robust Trajectory Recovery Framework based on Large-scale Camera Network.

Zhishuai Li, Ziyue Li, Xiaoru Hu, Guoqing Du, Yunhao Nie, Feng Zhu, Lei Bai, Rui Zhao

CoRR, 2023

KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy.

Qianxiong Xu, Cheng Long, Ziyue Li, Sijie Ruan, Rui Zhao, Zhishuai Li

CoRR, 2023

Reboost Large Language Model-based Text-to-SQL, Text-to-Python, and Text-to-Function - with Real Applications in Traffic Domain.

Guanghu Sui, Zhishuai Li, Ziyue Li, Sun Yang, Jingqing Ruan, Hangyu Mao, Rui Zhao

CoRR, 2023

Relation-Aware Distribution Representation Network for Person Clustering with Multiple Modalities.

Kaijian Liu, Shixiang Tang, Ziyue Li, Zhishuai Li, Lei Bai, Feng Zhu, Rui Zhao

CoRR, 2023

MM-DAG: Multi-task DAG Learning for Multi-modal Data - with Application for Traffic Congestion Analysis.

Tian Lan, Ziyue Li, Zhishuai Li, Lei Bai, Man Li, Fugee Tsung, Wolfgang Ketter, Rui Zhao, Chen Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Critical Perceptual Pre-trained Model for Complex Trajectory Recovery.

Dedong Li, Ziyue Li, Zhishuai Li, Lei Bai, Qingyuan Gong, Lijun Sun, Wolfgang Ketter, Rui Zhao

Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, 2023

Dynamic Causal Graph Convolutional Network for Traffic Prediction.

Junpeng Lin, Ziyue Li, Zhishuai Li, Lei Bai, Rui Zhao, Chen Zhang

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022

Trip Purposes Mining From Mobile Signaling Data.

Zhishuai Li, Gang Xiong, Zebing Wei, Yu Zhang, Meng Zheng, Xiaoli Liu, Sasu Tarkoma, Min Huang, Yisheng Lv, Chuheng Wu

IEEE Trans. Intell. Transp. Syst., 2022

A Multi-Stream Feature Fusion Approach for Traffic Prediction.

Zhishuai Li, Gang Xiong, Yonglin Tian, Yisheng Lv, Yuanyuan Chen, Pan Hui, Xiang Su

IEEE Trans. Intell. Transp. Syst., 2022

Discover Trip Purposes From Cellular Network Data With Topic Modeling.

Xueliang Zhao, Zhishuai Li, Yu Zhang, Yisheng Lv

IEEE Intell. Transp. Syst. Mag., 2022

A Semisupervised End-to-End Framework for Transportation Mode Detection by Using GPS-Enabled Sensing Devices.

Zhishuai Li, Gang Xiong, Zebing Wei, Yisheng Lv, Noreen Anwar, Fei-Yue Wang

IEEE Internet Things J., 2022

2021

A Fast Linear Neighborhood Similarity-Based Network Link Inference Method to Predict MicroRNA-Disease Associations.

Wen Zhang, Zhishuai Li, Wenzheng Guo, Weitai Yang, Feng Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Recurrent Attention Unit: A Simple and Effective Method for Traffic Prediction.

Zebing Wei, Zhishuai Li, Chunxiang Wang, Yuanyuan Chen, Qinghai Miao, Yisheng Lv, Fei-Yue Wang

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

YOLOv4 Based Deep Learning Algorithm for Defects Detection and Classification of Rail Surfaces.

Noreen Anwar, Zhen Shen, Qinglai Wei, Gang Xiong, Peijun Ye, Zhishuai Li, Yisheng Lv, Hongxia Zhao

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Urban Trip Generation Forecasting Based on Gradient Boosting Algorithm.

Zhishuai Li, Gang Xiong, Yu Zhang, Meng Zheng, Xisong Dong, Yisheng Lv

Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

Temporal-Difference Spatial Sampling and Aggregating Graph Neural Network for Crowd Flow Forecasting.

Xiaojie Bu, Zebing Wei, Zhishuai Li, Xiao Wang, Yuanyuan Chen, Yunquan Song, Yisheng Lv

Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

2019

A Hybrid Deep Learning Approach with GCN and LSTM for Traffic Flow Prediction.

Zhishuai Li, Gang Xiong, Yuanyuan Chen, Yisheng Lv, Bin Hu, Fenghua Zhu, Fei-Yue Wang

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

A GPU Based Parallel Genetic Algorithm for the Orientation Optimization Problem in 3D Printing.

Zhishuai Li, Gang Xiong, Xipeng Zhang, Zhen Shen, Can Luo, Xiuqin Shang, Xisong Dong, Gui-Bin Bian, Xiao Wang, Fei-Yue Wang

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Prediction of Drug-Disease Associations and Their Effects by Signed Network-Based Nonnegative Matrix Factorization.

Wen Zhang, Feng Huang, Xiang Yue, Xiaoting Lu, Weitai Yang, Zhishuai Li, Feng Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018