李志帅｜中国石油大学(华东)｜学者主页

期刊论文

2026

基于深度图卷积强化学习的交叉路口信号控制方法

李志帅，陆禹睿，陈鸿龙，陈宁

《实验室研究与探索》

2026

PET-SQL: A Prompt-Enhanced Two-Round Refinement of Text-to-SQL with Cross-Consistency

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

Lecture notes in computer science

DOI

2025

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, Yisheng Lv

IEEE Transactions on Intelligent Transportation Systems

DOI

2025

A Survey on Multi-agent Reinforcement Learning for Adaptive Transportation Solutions

Jintao Liang, Xinqi Du, Yilin Liu, Ziyue Li, Ziyue Li, Haoyuan Jiang, Zhishuai Li, Zhishuai Li, Cheng Long, Hua Wei, Wolfgang Ketter

SN Computer Science

DOI

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 Journal of Automatica Sinica

2019

基于图卷积神经网络和注意力机制的短时交通流量预测

李志帅，吕宜生，熊刚

《交通工程》

DOI

预印本

2024

Spatial-Temporal Large Language Model for Traffic Prediction

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

arXiv preprint

2024

TraffiDent: A Dataset for Understanding the Interplay Between Traffic Dynamics and Incidents

Xiaochuan Gou, Ziyue Li, Tian Lan, Junpeng Lin, Zhishuai Li, Bingyu Zhao, Chen Zhang, Di Wang, Xiangliang Zhang

arXiv preprint

2024

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

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

arXiv preprint

2024

MultiFun-DAG: Multivariate Functional Directed Acyclic Graph

Tian Lan, Ziyue Li, Junpeng Lin, Zhishuai Li, Lei Bai, Man Li, Fugee Tsung, Rui Zhao, Chen Zhang

arXiv preprint

2024

SQL-to-Schema Enhances Schema Linking in Text-to-SQL

Sun Yang, Qiong Su, Zhishuai Li, Ziyue Li, Hangyu Mao, Chenxi Liu, Rui Zhao

arXiv preprint

2024

SQLBench: A Comprehensive Evaluation for Text-to-SQL Capabilities of Large Language Models

Bin Zhang, Yuxiao Ye, Guoqing Du, Xiaoru Hu, Zhishuai Li, Chi Harold Liu, Zhiwei Xu, Guoliang Fan, Rui Zhao, Ziyue Li, Hangyu Mao

arXiv preprint

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

arXiv preprint

2023

KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy

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

arXiv preprint

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

arXiv preprint

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

arXiv preprint

2023

Dynamic Causal Graph Convolutional Network for Traffic Prediction

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

arXiv preprint

李志帅

精选作品

期刊论文

基于深度图卷积强化学习的交叉路口信号控制方法

PET-SQL: A Prompt-Enhanced Two-Round Refinement of Text-to-SQL with Cross-Consistency

VisionTraj: A Noise-Robust Trajectory Recovery Framework Based on Large-Scale Camera Network

A Survey on Multi-agent Reinforcement Learning for Adaptive Transportation Solutions

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

基于图卷积神经网络和注意力机制的短时交通流量预测

预印本

Spatial-Temporal Large Language Model for Traffic Prediction

TraffiDent: A Dataset for Understanding the Interplay Between Traffic Dynamics and Incidents

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

MultiFun-DAG: Multivariate Functional Directed Acyclic Graph

SQL-to-Schema Enhances Schema Linking in Text-to-SQL

SQLBench: A Comprehensive Evaluation for Text-to-SQL Capabilities of Large Language Models

A Critical Perceptual Pre-trained Model for Complex Trajectory Recovery

KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy

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

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

Dynamic Causal Graph Convolutional Network for Traffic Prediction

研究方向