Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction. - Ziyue Li 002; Nurettin Dorukhan Sergin; Hao Yan; Chen Zhang 007; Fugee Tsung (AAAI, 2020)

Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile. - Ziyue Li 002; Hao Yan; Chen Zhang 007; Fugee Tsung (IEEE Robotics Autom. Lett., 2020)

Tensor Topic Models with Graphs and Applications on Individualized Travel Patterns. - Ziyue Li 002 (ICDE, 2021)

Jointly Contrastive Representation Learning on Road Network and Trajectory. - Zhenyu Mao; Ziyue Li 002; Dedong Li; Lei Bai 001; Rui Zhao 001 (CIKM, 2022)

Individualized passenger travel pattern multi-clustering based on graph regularized tensor latent dirichlet allocation. - Ziyue Li 002; Hao Yan; Chen Zhang 007; Fugee Tsung (Data Min. Knowl. Discov., 2022)

Profile Decomposition Based Hybrid Transfer Learning for Cold-Start Data Anomaly Detection. - Ziyue Li 002; Hao Yan; Fugee Tsung; Ke Zhang (ACM Trans. Knowl. Discov. Data, 2022)

Adaptive Hierarchical SpatioTemporal Network for Traffic Forecasting. - Yirong Chen; Ziyue Li 002; Wanli Ouyang; Michael D. Lepech (CASE, 2023)

A Unified Probabilistic Framework for Spatiotemporal Passenger Crowdedness Inference within Urban Rail Transit Network. - Min Jiang; Andi Wang 001; Ziyue Li 002; Fugee Tsung (CASE, 2023)

Dynamic Causal Graph Convolutional Network for Traffic Prediction. - Junpeng Lin; Ziyue Li 002; Zhishuai Li; Lei Bai 001; Rui Zhao 001; Chen Zhang 007 (CASE, 2023)

Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal Bootstrapping. - Luxuan Wang; Lei Bai 001; Ziyue Li 002; Rui Zhao 001; Fugee Tsung (CASE, 2023)

Tensor Dirichlet Process Multinomial Mixture Model with Graphs for Passenger Trajectory Clustering. - Ziyue Li 002; Hao Yan; Chen Zhang 007; Wolfgang Ketter; Fugee Tsung (GeoAI@SIGSPATIAL, 2023)

A Critical Perceptual Pre-trained Model for Complex Trajectory Recovery. - Dedong Li; Ziyue Li 002; Zhishuai Li; Lei Bai 001; Qingyuan Gong; Lijun Sun 001; Wolfgang Ketter; Rui Zhao 001 (GeoSearch@SIGSPATIAL, 2023)

MM-DAG: Multi-task DAG Learning for Multi-modal Data - with Application for Traffic Congestion Analysis. - Tian Lan; Ziyue Li 002; Zhishuai Li; Lei Bai 001; Man Li 003; Fugee Tsung; Wolfgang Ketter; Rui Zhao 001; Chen Zhang 007 (KDD, 2023)

Poster: A Privacy-preserving Heart Rate Prediction System for Drivers in Connected Vehicles. - Hui Ruan; Qingyuan Gong; Yang Chen 001; Jiong Chen 003; Ziyue Li 002; Xiang Su (MobiSys, 2023)

Tensor Dirichlet Process Multinomial Mixture Model for Passenger Trajectory Clustering. - Ziyue Li 002; Hao Yan; Chen Zhang 007; Andi Wang 001; Wolfgang Ketter; Lijun Sun 001; 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 002; Sun Yang; Jingqing Ruan; Hangyu Mao; Rui Zhao 001 (CoRR, 2023)

Choose A Table: Tensor Dirichlet Process Multinomial Mixture Model with Graphs for Passenger Trajectory Clustering. - Ziyue Li 002; Hao Yan; Chen Zhang 007; Lijun Sun 001; Wolfgang Ketter; Fugee Tsung (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 052; Tianpeng Bao; Shiwei Shi; Guoqing Du; Xiaoru Hu; Hangyu Mao; Ziyue Li 002; Xingyu Zeng; Rui Zhao 001 (CoRR, 2023)

Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach. - Bin Zhang 052; Hangyu Mao; Jingqing Ruan; Ying Wen 001; Yang Li 116; Shao Zhang; Zhiwei Xu 005; Dapeng Li 001; Ziyue Li 002; Rui Zhao 001; Lijuan Li 002; Guoliang Fan (CoRR, 2023)

VisionTraj: A Noise-Robust Trajectory Recovery Framework based on Large-scale Camera Network. - Zhishuai Li; Ziyue Li 002; Xiaoru Hu; Guoqing Du; Yunhao Nie; Feng Zhu 006; Lei Bai 001; Rui Zhao 001 (CoRR, 2023)

Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical Learning. - Zhishuai Li; Yunhao Nie; Ziyue Li 002; Lei Bai 001; Yisheng Lv; Rui Zhao 001 (AISTATS, 2024)

DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared Knowledge. - Jiaming Lu; Jingqing Ruan; Haoyuan Jiang; Ziyue Li 002; Hangyu Mao; Rui Zhao 001 (AAMAS, 2024)

PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning. - Hangyu Mao; Rui Zhao 001; Ziyue Li 002; Zhiwei Xu 005; Hao Chen 103; Yiqun Chen 004; Bin Zhang 052; Zhen Xiao; Junge Zhang; Jiangjin Yin (AAMAS, 2024)

SQL-to-Schema Enhances Schema Linking in Text-to-SQL. - Sun Yang; Qiong Su; Zhishuai Li; Ziyue Li 002; Hangyu Mao; Chenxi Liu 003; Rui Zhao 001 (DEXA (1), 2024)

Eliminating Feature Ambiguity for Few-Shot Segmentation. - Qianxiong Xu; Guosheng Lin; Chen Change Loy; Cheng Long 001; Ziyue Li 002; Rui Zhao 001 (ECCV (3), 2024)

TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Industry Systems. - Yilun Kong; Jingqing Ruan; Yihong Chen; Bin Zhang 052; Tianpeng Bao; Shiwei Shi; Du Qing; Xiaoru Hu; Hangyu Mao; Ziyue Li 002; Xingyu Zeng; Rui Zhao 001; et al. (EMNLP (Industry Track), 2024)

X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner. - Haoyuan Jiang; Ziyue Li 002; Hua Wei 001; Xuantang Xiong; Jingqing Ruan; Jiaming Lu; Hangyu Mao; Rui Zhao 001 (IJCAI, 2024)

Deep Causal Learning to Explain and Quantify the Geo-Tension's Impact on Natural Gas Demand. - Philipp K. Peter; Yulin Li; Ziyue Li 002; Wolfgang Ketter (ISGT EUROPE, 2024)

Transformer-based Drum-level Prediction in a Boiler Plant with Delayed Relations among Multivariates. - Gang Su; Sun Yang; Zhishuai Li; Ziyue Li 002 (ISGT EUROPE, 2024)

CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control. - Jingqing Ruan; Ziyue Li 002; Hua Wei 001; Haoyuan Jiang; Jiaming Lu; Xuantang Xiong; Hangyu Mao; Rui Zhao 001 (KDD, 2024)

Spatial-Temporal Large Language Model for Traffic Prediction. - Chenxi Liu 003; Sun Yang; Qianxiong Xu; Zhishuai Li; Cheng Long 001; Ziyue Li 002; Rui Zhao 001 (MDM, 2024)

Hybrid Mamba for Few-Shot Segmentation. - Qianxiong Xu; Xuanyi Liu; Lanyun Zhu; Guosheng Lin; Cheng Long 001; Ziyue Li 002; Rui Zhao 001 (NeurIPS, 2024)

GESA: A GEneral Scenario-Agnostic Reinforcement Learning for Traffic Signal Control. - Haoyuan Jiang; Ziyue Li 002; Zhishuai Li; Lei Bai 001; Hangyu Mao; Wolfgang Ketter; Rui Zhao 001 (STRL@IJCAI, 2024)

Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting. - Pengxin Guo; Pengrong Jin; Ziyue Li 002; Lei Bai 001; Yu Zhang (CoRR, 2024)

Benchmarking the Text-to-SQL Capability of Large Language Models: A Comprehensive Evaluation. - Bin Zhang 052; Yuxiao Ye; Guoqing Du; Xiaoru Hu; Zhishuai Li; Sun Yang; Chi Harold Liu; Rui Zhao 001; Ziyue Li 002; Hangyu Mao (CoRR, 2024)

PET-SQL: A Prompt-enhanced Two-stage Text-to-SQL Framework with Cross-consistency. - Zhishuai Li; Xiang Wang 012; Jingjing Zhao; Sun Yang; Guoqing Du; Xiaoru Hu; Bin Zhang 052; Yuxiao Ye; Ziyue Li 002; Rui Zhao 001; Hangyu Mao (CoRR, 2024)

Low-Rank Robust Subspace Tensor Clustering for Metro Passenger Flow Modeling. - Jiuyun Hu; Ziyue Li 002; Chen Zhang 007; Fugee Tsung; Hao Yan (CoRR, 2024)

A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model. - Jiexia Ye; Weiqi Zhang; Ke Yi 003; Yongzi Yu; Ziyue Li 002; Jia Li 009; Fugee Tsung (CoRR, 2024)

TimeCMA: Towards LLM-Empowered Time Series Forecasting via Cross-Modality Alignment. - Chenxi Liu 003; Qianxiong Xu; Hao Miao 001; Sun Yang; Lingzheng Zhang; Cheng Long 001; Ziyue Li 002; Rui Zhao 001 (CoRR, 2024)

DualTime: A Dual-Adapter Multimodal Language Model for Time Series Representation. - Weiqi Zhang; Jiexia Ye; Ziyue Li 002; Jia Li 009; Fugee Tsung (CoRR, 2024)

GuideLight: "Industrial Solution" Guidance for More Practical Traffic Signal Control Agents. - Haoyuan Jiang; Xuantang Xiong; Ziyue Li 002; Hangyu Mao; Guanghu Sui; Jingqing Ruan; Yuheng Cheng; Hua Wei 001; Wolfgang Ketter; Rui Zhao 001 (CoRR, 2024)

Deep Causal Learning to Explain and Quantify The Geo-Tension's Impact on Natural Gas Market. - Philipp K. Peter; Yulin Li; Ziyue Li 002; Wolfgang Ketter (CoRR, 2024)

XTraffic: A Dataset Where Traffic Meets Incidents with Explainability and More. - Xiaochuan Gou; Ziyue Li 002; Tian Lan; Junpeng Lin; Zhishuai Li; Bingyu Zhao; Chen Zhang 007; Di Wang 015; Xiangliang Zhang 001 (CoRR, 2024)

Enabling Tensor Decomposition for Time-Series Classification via A Simple Pseudo-Laplacian Contrast. - Man Li 003; Ziyue Li 002; Lijun Sun 001; Fugee Tsung (CoRR, 2024)

MCCoder: Streamlining Motion Control with LLM-Assisted Code Generation and Rigorous Verification. - Yin Li; Liangwei Wang 001; Shiyuan Piao; Boo-Ho Yang; Ziyue Li 002; Wei Zeng 004; Fugee Tsung (CoRR, 2024)

LeMoLE: LLM-Enhanced Mixture of Linear Experts for Time Series Forecasting. - Lingzheng Zhang; Lifeng Shen; Yimin Zheng; Shiyuan Piao; Ziyue Li 002; Fugee Tsung (CoRR, 2024)

Relation-Aware Distribution Representation Network for Person Clustering With Multiple Modalities. - Kaijian Liu; Shixiang Tang; Ziyue Li 002; Zhishuai Li; Lei Bai 001; Feng Zhu 006; Rui Zhao 001 (IEEE Trans. Multim., 2024)

The paradox of the artificial intelligence system development process: the use case of corporate wellness programs using smart wearables. - Alessandra Angelucci; Ziyue Li 002; Niya Stoimenova; Stefano Canali (AI Soc., 2024)

A General Scenario-Agnostic Reinforcement Learning for Traffic Signal Control. - Haoyuan Jiang; Ziyue Li 002; Zhishuai Li; Lei Bai 001; Hangyu Mao; Wolfgang Ketter; Rui Zhao 001 (IEEE Trans. Intell. Transp. Syst., 2024)

FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning. - Xinqi Du; Ziyue Li 002; Cheng Long 001; Yongheng Xing; Philip S. Yu; Hechang Chen (IEEE Trans. Knowl. Data Eng., 2024)

TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment. - Chenxi Liu 003; Qianxiong Xu; Hao Miao 001; Sun Yang; Lingzheng Zhang; Cheng Long 001; Ziyue Li 002; Rui Zhao 001 (AAAI, 2025)

KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy. - Qianxiong Xu; Cheng Long 001; Ziyue Li 002; Sijie Ruan; Rui Zhao 001; Zhishuai Li (AAAI, 2025)

FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning (Extended Abstract). - Xinqi Du; Ziyue Li 002; Cheng Long 001; Yongheng Xing; Philip S. Yu; Hechang Chen (ICDE, 2025)

Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation. - Chenxi Liu 003; Hao Miao 001; Qianxiong Xu; Shaowen Zhou; Cheng Long 001; Yan Zhao 008; Ziyue Li 002; Rui Zhao 001 (ICDE, 2025)

Sparseformer: a Transferable Transformer with Multi-granularity Token Sparsification for Medical Time Series Classification. - Jiexia Ye; Weiqi Zhang; Ziyue Li 002; Jia Li 009; Fugee Tsung (CoRR, 2025)

Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era. - Chenxi Liu 003; Shaowen Zhou; Qianxiong Xu; Hao Miao 001; Cheng Long 001; Ziyue Li 002; Rui Zhao 001 (CoRR, 2025)

Unlocking the Power of SAM 2 for Few-Shot Segmentation. - Qianxiong Xu; Lanyun Zhu; Xuanyi Liu; Guosheng Lin; Cheng Long 001; Ziyue Li 002; Rui Zhao 001 (CoRR, 2025)

LLMs Meet Cross-Modal Time Series Analytics: Overview and Directions. - Chenxi Liu 003; Hao Miao 001; Cheng Long 001; Yan Zhao 008; Ziyue Li 002; Panos Kalnis (CoRR, 2025)

SAMITE: Position Prompted SAM2 with Calibrated Memory for Visual Object Tracking. - Qianxiong Xu; Lanyun Zhu; Chenxi Liu 003; Guosheng Lin; Cheng Long 001; Ziyue Li 002; Rui Zhao 001 (CoRR, 2025)

ST-LLM+: Graph Enhanced Spatio-Temporal Large Language Models for Traffic Prediction. - Chenxi Liu 003; Kethmi Hirushini Hettige; Qianxiong Xu; Cheng Long 001; Shili Xiang; Gao Cong; Ziyue Li 002; Rui Zhao 001 (IEEE Trans. Knowl. Data Eng., 2025)