Ziyue Li

According to our database, Ziyue Li authored at least 28 papers between 2020 and 2024.

Collaborative distances:

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

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

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

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

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

2023

PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning.

Hangyu Mao, Rui Zhao, Ziyue Li, Zhiwei Xu, Hao Chen, Yiqun Chen, Bin Zhang, Zhen Xiao, Junge Zhang, Jiangjin Yin

CoRR, 2023

DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared Knowledge.

Jiaming Lu, Jingqing Ruan, Haoyuan Jiang, Ziyue Li, Hangyu Mao, Rui Zhao

CoRR, 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

Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach.

Bin Zhang, Hangyu Mao, Jingqing Ruan, Ying Wen, Yang Li, Shao Zhang, Zhiwei Xu, Dapeng Li, Ziyue Li, Rui Zhao, Lijuan Li, Guoliang Fan

CoRR, 2023

TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems.

Yilun Kong, Jingqing Ruan, Yihong Chen, Bin Zhang, Tianpeng Bao, Shiwei Shi, Guoqing Du, Xiaoru Hu, Hangyu Mao, Ziyue Li, Xingyu Zeng, 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

Choose A Table: Tensor Dirichlet Process Multinomial Mixture Model with Graphs for Passenger Trajectory Clustering.

Ziyue Li, Hao Yan, Chen Zhang, Lijun Sun, Wolfgang Ketter, Fugee Tsung

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

Tensor Dirichlet Process Multinomial Mixture Model for Passenger Trajectory Clustering.

Ziyue Li, Hao Yan, Chen Zhang, Andi Wang, Wolfgang Ketter, Lijun Sun, Fugee Tsung

CoRR, 2023

Poster: A Privacy-preserving Heart Rate Prediction System for Drivers in Connected Vehicles.

Hui Ruan, Qingyuan Gong, Yang Chen, Jiong Chen, Ziyue Li, Xiang Su

Proceedings of the 21st Annual International Conference on Mobile Systems, 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

Tensor Dirichlet Process Multinomial Mixture Model with Graphs for Passenger Trajectory Clustering.

Ziyue Li, Hao Yan, Chen Zhang, Wolfgang Ketter, Fugee Tsung

Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2023

Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal Bootstrapping.

Luxuan Wang, Lei Bai, Ziyue Li, Rui Zhao, Fugee Tsung

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

A Unified Probabilistic Framework for Spatiotemporal Passenger Crowdedness Inference within Urban Rail Transit Network.

Min Jiang, Andi Wang, Ziyue Li, Fugee Tsung

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

Adaptive Hierarchical SpatioTemporal Network for Traffic Forecasting.

Yirong Chen, Ziyue Li, Wanli Ouyang, Michael D. Lepech

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

2022

Profile Decomposition Based Hybrid Transfer Learning for Cold-Start Data Anomaly Detection.

Ziyue Li, Hao Yan, Fugee Tsung, Ke Zhang

ACM Trans. Knowl. Discov. Data, 2022

Individualized passenger travel pattern multi-clustering based on graph regularized tensor latent dirichlet allocation.

Ziyue Li, Hao Yan, Chen Zhang, Fugee Tsung

Data Min. Knowl. Discov., 2022

Jointly Contrastive Representation Learning on Road Network and Trajectory.

Zhenyu Mao, Ziyue Li, Dedong Li, Lei Bai, Rui Zhao

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Tensor Topic Models with Graphs and Applications on Individualized Travel Patterns.

Ziyue Li

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile.

Ziyue Li, Hao Yan, Chen Zhang, Fugee Tsung

IEEE Robotics Autom. Lett., 2020

Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction.

Ziyue Li, Nurettin Dorukhan Sergin, Hao Yan, Chen Zhang, Fugee Tsung

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020