Jun Luo

79 papers A* 26A 5B 1Journal 26Unranked 21
YearRankTypeTitle / Venue / Authors
2026 — conf
UniLLM: A Unified Large Language Model for Multi?Modal Urban Dynamics Prediction.
KDD (1)
Yuhang Liu, Yingxue Zhang, Xin Zhang, Yanhua Li, Jun Luo
2025 — conf
ConPro-GAIL: Interpretable Policy Learning via Conceptual Prototyping for Human Spatiotemporal Decision Understanding.
SIGSPATIAL/GIS
Ronilo Ragodos, Xun Zhou, Tong Wang, Yajun Pan, Jun Luo
2025 A* conf
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping.
AAAI
Bang An, Xun Zhou, Zirui Zhou, Ronilo J. Ragodos, Zenglin Xu, Jun Luo
2025 — conf
KG-STFT: Knowledge Graph-Guided Human-Generated Spatial-Temporal Cross-task Fine-Tuning.
SIGSPATIAL/GIS
Mingzhi Hu, Xin Zhang, Yanhua Li, Jun Luo
2025 A* conf
MARCEL: Multifaceted SpAtial-TempoRal ContrastivE Learning for Generic Spatial-Temporal Representations.
ICDM
Yuhang Liu, Yingxue Zhang, Xin Zhang, Yu Yang, Yanhua Li, Jun Luo
2025 J jnl
Traj-Transformer: Diffusion Models with Transformer for GPS Trajectory Generation.
CoRR
Zhiyang Zhang, Ningcong Chen, Xin Zhang, Yanhua Li, Shen Su, Hui Lu, Jun Luo
2025 — conf
UrbanMind: Urban Dynamics Prediction with Multifaceted Spatial-Temporal Large Language Models.
KDD (2)
Yuhang Liu, Yingxue Zhang, Xin Zhang, Ling Tian, Yanhua Li, Jun Luo
2025 J jnl
UrbanMind: Urban Dynamics Prediction with Multifaceted Spatial-Temporal Large Language Models.
CoRR
Yuhang Liu, Yingxue Zhang, Xin Zhang, Ling Tian, Yanhua Li, Jun Luo
2024 A* conf
Align Along Time and Space: A Graph Latent Diffusion Model for Traffic Dynamics Prediction.
ICDM
Yuhang Liu, Yingxue Zhang, Xin Zhang, Yu Yang, Yiqun Xie, Sahar Ghanipoor Machiani, Yanhua Li, Jun Luo
2024 J jnl
Dataflow-Based Optimization for Quantum Intermediate Representation Programs.
CoRR
Jun Luo, Haoyu Zhang, Jianjun Zhao
2024 J jnl
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models through Statistically-Guided Geo-Prototyping.
CoRR
Bang An, Xun Zhou, Zirui Zhou, Ronilo J. Ragodos, Zenglin Xu, Jun Luo
2024 A* conf
LISA: Learning-Integrated Space Partitioning Framework for Traffic Accident Forecasting on Heterogeneous Spatiotemporal Data.
ICDM
Bang An, Xun Zhou, Amin Vahedian, W. Nick Street, Jinping Guan, Jun Luo
2024 J jnl
LISA: Learning-Integrated Space Partitioning Framework for Traffic Accident Forecasting on Heterogeneous Spatiotemporal Data.
CoRR
Bang An, Xun Zhou, Amin Vahedian, W. Nick Street, Jinping Guan, Jun Luo
2024 A conf
Only Attending What Matter within Trajectories -
SDM
Mingzhi Hu, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo
2024 A* conf
Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing.
KDD
Xinbo Zhao, Yingxue Zhang, Xin Zhang, Yu Yang, Yiqun Xie, Yanhua Li, Jun Luo
2024 J jnl
Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing.
CoRR
Xinbo Zhao, Yingxue Zhang, Xin Zhang, Yu Yang, Yiqun Xie, Yanhua Li, Jun Luo
2023 A* conf
CAC: Enabling Customer-Centered Passenger-Seeking for Self-Driving Ride Service with Conservative Actor-Critic.
ICDM
Palawat Busaranuvong, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo
2023 — conf
Optimizing Demand Response in Distribution Network with Grid Operational Constraints.
e-Energy
Tianyu Zhao, Min Zhou, Yanfang Mo, Jason Min Wang, Jun Luo, Xiang Pan, Minghua Chen
2023 A* conf
ST-iFGSM: Enhancing Robustness of Human Mobility Signature Identification Model via Spatial-Temporal Iterative FGSM.
KDD
Mingzhi Hu, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo
2023 A conf
STM-GAIL: Spatial-Temporal Meta-GAIL for Learning Diverse Human Driving Strategies.
SDM
Yingxue Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo
2023 A* conf
Self-supervised Pre-training for Robust and Generic Spatial-Temporal Representations.
ICDM
Mingzhi Hu, Zhuoyun Zhong, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo
2022 A* conf
Mest-GAN: Cross-City Urban Traffic Estimation with Me ta S patial-T emporal G enerative A dversarial N etworks.
ICDM
Yingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo
2022 J jnl
Off-Deployment Traffic Estimation - A Traffic Generative Adversarial Networks Approach.
IEEE Trans. Big Data
Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo
2022 J jnl
SCCS: Smart Cloud Commuting System With Shared Autonomous Vehicles.
IEEE Trans. Big Data
Menghai Pan, Yanhua Li, Zhi-Li Zhang, Jun Luo
2022 A* conf
STrans-GAN: Spatially-Transferable Generative Adversarial Networks for Urban Traffic Estimation.
ICDM
Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo
2022 J jnl
Urban Traffic Dynamics Prediction - A Continuous Spatial-temporal Meta-learning Approach.
ACM Trans. Intell. Syst. Technol.
Yingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo, Zhi-Li Zhang
2022 J jnl
cGAIL: Conditional Generative Adversarial Imitation Learning - An Application in Taxi Drivers' Strategy Learning.
IEEE Trans. Big Data
Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo
2021 A* conf
C
ICDM
Yingxue Zhang, Yanhua Li, Xun Zhou, Zhenming Liu, Jun Luo
2021 A* conf
DAC-ML: Domain Adaptable Continuous Meta-Learning for Urban Dynamics Prediction.
ICDM
Xin Zhang, Yanhua Li, Xun Zhou, Oren Mangoubi, Ziming Zhang, Vincent Filardi, Jun Luo
2021 A* conf
Eclipse: Generalizing kNN and Skyline.
ICDE
Jinfei Liu, Li Xiong, Qiuchen Zhang, Jian Pei, Jun Luo
2021 J jnl
Forecasting Gathering Events through Trajectory Destination Prediction: A Dynamic Hybrid Model.
IEEE Trans. Knowl. Data Eng.
Amin Vahedian Khezerlou, Xun Zhou, Ling Tong, Yanhua Li, Jun Luo
2021 J jnl
Group-Based Skyline for Pareto Optimal Groups.
IEEE Trans. Knowl. Data Eng.
Jinfei Liu, Li Xiong, Jian Pei, Jun Luo, Haoyu Zhang, Wenhui Yu
2021 — conf
Learning Decision Making Strategies of Non-experts: A NEXT-GAIL Model for Taxi Drivers.
SIGSPATIAL/GIS
Menghai Pan, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo
2021 J jnl
Mining Spatio-Temporal Reachable Regions With Multiple Sources over Massive Trajectory Data.
IEEE Trans. Knowl. Data Eng.
Yichen Ding, Xun Zhou, Guojun Wu, Yanhua Li, Jie Bao, Yu Zheng, Jun Luo
2021 J jnl
Skyline Diagram: Efficient Space Partitioning for Skyline Queries.
IEEE Trans. Knowl. Data Eng.
Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei, Jun Luo, Yuzhang Guo, Shuaicheng Ma, Chenglin Fan
2020 A* conf
Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks.
KDD
Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo
2020 J jnl
DHPA: Dynamic Human Preference Analytics Framework: A Case Study on Taxi Drivers' Learning Curve Analysis.
ACM Trans. Intell. Syst. Technol.
Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Zhenming Liu, Rui Song, Hui Lu, Zhihong Tian, Jun Luo
2020 A* conf
Inferring Passengers' Interactive Choices on Public Transits via MA-AL: Multi-Agent Apprenticeship Learning.
WWW
Mingzhou Yang, Yanhua Li, Xun Zhou, Hui Lu, Zhihong Tian, Jun Luo
2020 — conf
Is Reinforcement Learning the Choice of Human Learners?: A Case Study of Taxi Drivers.
SIGSPATIAL/GIS
Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Zhenming Liu, Jie Bao, Yu Zheng, Jun Luo
2020 A* conf
ST-SiameseNet: Spatio-Temporal Siamese Networks for Human Mobility Signature Identification.
KDD
Huimin Ren, Menghai Pan, Yanhua Li, Xun Zhou, Jun Luo
2020 A* conf
TrajGAIL: Trajectory Generative Adversarial Imitation Learning for Long-term Decision Analysis.
ICDM
Xin Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo
2020 A* conf
cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Prediction.
ICDM
Yingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo
2020 A* conf
xGAIL: Explainable Generative Adversarial Imitation Learning for Explainable Human Decision Analysis.
KDD
Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Jun Luo
2019 J jnl
CityLines: Designing Hybrid Hub-and-Spoke Transit System with Urban Big Data.
IEEE Trans. Big Data
Yanhua Li, Guanxiong Liu, Zhi-Li Zhang, Jun Luo, Fan Zhang
2019 A conf
Dissecting the Learning Curve of Taxi Drivers: A Data-Driven Approach.
SDM
Menghai Pan, Yanhua Li, Xun Zhou, Zhenming Liu, Rui Song, Hui Lu, Jun Luo
2019 J jnl
Eclipse: Generalizing kNN and Skyline.
CoRR
Jinfei Liu, Li Xiong, Qiuchen Zhang, Jian Pei, Jun Luo
2019 J jnl
Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle.
CoRR
Guojun Wu, Yanhua Li, Zhenming Liu, Jie Bao, Yu Zheng, Jieping Ye, Jun Luo
2019 J jnl
Sampling Big Trajectory Data for Traversal Trajectory Aggregate Query.
IEEE Trans. Big Data
Yichen Ding, Yanhua Li, Xun Zhou, Zhuojie Huang, Simin You, Jun Luo
2019 A conf
SkyRec: Finding Pareto Optimal Groups.
CIKM
Jinfei Liu, Li Xiong, Jian Pei, Jun Luo, Haoyu Zhang, Si Zhang
2019 A* conf
TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial Networks.
ICDM
Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo
2019 — conf
Transforming Policy via Reward Advancement.
CDC
Guojun Wu, Yanhua Li, Jun Luo
2019 A* conf
Unveiling Taxi Drivers' Strategies via cGAIL: Conditional Generative Adversarial Imitation Learning.
ICDM
Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo
2019 J jnl
User Preference Analysis for Most Frequent Peer/Dominator.
IEEE Trans. Knowl. Data Eng.
Ke Deng, Yanhua Li, Jia Zeng, Mingxuan Yuan, Jun Luo, Jeffrey Xu Yu
2018 A* conf
Human-Centric Urban Transit Evaluation and Planning.
ICDM
Guojun Wu, Yanhua Li, Jie Bao, Yu Zheng, Jieping Ye, Jun Luo
2018 — conf
Predicting Traffic Congestion Propagation Patterns: A Propagation Graph Approach.
IWCTS@SIGSPATIAL
Haoyi Xiong, Amin Vahedian, Xun Zhou, Yanhua Li, Jun Luo
2018 J jnl
Skyline Diagram: Efficient Space Partitioning for Skyline Queries.
CoRR
Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei, Jun Luo, Yuzhang Guo, Shuaicheng Ma, Chenglin Fan
2018 A* conf
Skyline Diagram: Finding the Voronoi Counterpart for Skyline Queries.
ICDE
Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei, Jun Luo
2017 — conf
CityLines: Hybrid Hub-and-Spoke Urban Transit System.
SIGSPATIAL/GIS
Guanxiong Liu, Yanhua Li, Zhi-Li Zhang, Jun Luo, Fan Zhang
2017 — conf
Data-driven inverse learning of passenger preferences in urban public transits.
CDC
Guojun Wu, Yichen Ding, Yanhua Li, Jun Luo, Fan Zhang, Jie Fu
2017 J jnl
Eclipse: Practicability Beyond 1NN and Skyline.
CoRR
Jinfei Liu, Li Xiong, Qiuchen Zhang, Jun Luo
2017 — conf
Forecasting Gathering Events through Continuous Destination Prediction on Big Trajectory Data.
SIGSPATIAL/GIS
Amin Vahedian, Xun Zhou, Ling Tong, Yanhua Li, Jun Luo
2017 A* conf
Mining Spatio-Temporal Reachable Regions over Massive Trajectory Data.
ICDE
Guojun Wu, Yichen Ding, Yanhua Li, Jie Bao, Yu Zheng, Jun Luo
2017 — conf
Modeling urban trip demands in cloud-commuting system: A holistic approach.
INFOCOM Workshops
Guanxiong Liu, Menghai Pan, Yanhua Li, Zhi-Li Zhang, Jun Luo
2016 — conf
PULSE: A Real Time System for Crowd Flow Prediction at Metropolitan Subway Stations.
ECML/PKDD (3)
Ermal Toto, Elke A. Rundensteiner, Yanhua Li, Richard Jordan, Mariya Ishutkina, Kajal T. Claypool, Jun Luo, Fan Zhang
2016 A* conf
The Optimal Distribution of Electric-Vehicle Chargers across a City.
ICDM
Chen Liu, Ke Deng, Chaojie Li, Jianxin Li, Yanhua Li, Jun Luo
2015 J jnl
Finding Pareto Optimal Groups: Group-based Skyline.
Proc. VLDB Endow.
Jinfei Liu, Li Xiong, Jian Pei, Jun Luo, Haoyu Zhang
2015 A conf
Finding Probabilistic k-Skyline Sets on Uncertain Data.
CIKM
Jinfei Liu, Haoyu Zhang, Li Xiong, Haoran Li, Jun Luo
2015 A* conf
Growing the charging station network for electric vehicles with trajectory data analytics.
ICDE
Yanhua Li, Jun Luo, Chi-Yin Chow, Kam-Lam Chan, Ye Ding, Fan Zhang
2015 B conf
Speed Partitioning for Indexing Moving Objects.
SSTD
Xiaofeng Xu, Li Xiong, Vaidy S. Sunderam, Jinfei Liu, Jun Luo
2015 — conf
VPIndexer: velocity-based partitioning for indexing moving objects.
SIGSPATIAL/GIS
Xiaofeng Xu, Li Xiong, Vaidy S. Sunderam, Jinfei Liu, Jun Luo
2014 — conf
Privacy Preserving Publication of Locations Based on Delaunay Triangulation.
PAKDD (1)
Jun Luo, Jinfei Liu, Li Xiong
2014 J jnl
Speed Partitioning for Indexing Moving Objects.
CoRR
Xiaofeng Xu, Li Xiong, Vaidy S. Sunderam, Jinfei Liu, Jun Luo
2013 — conf
A privacy framework: indistinguishable privacy.
EDBT/ICDT Workshops
Jinfei Liu, Li Xiong, Jun Luo
2013 J jnl
Privacy Preserving Distributed DBSCAN Clustering.
Trans. Data Priv.
Jinfei Liu, Li Xiong, Jun Luo, Joshua Zhexue Huang
2013 J jnl
Semantic Security: Privacy Definitions Revisited.
Trans. Data Priv.
Jinfei Liu, Li Xiong, Jun Luo
2012 — conf
Privacy preserving distributed DBSCAN clustering.
EDBT/ICDT Workshops
Jinfei Liu, Joshua Zhexue Huang, Jun Luo, Li Xiong
2011 — conf
Effective Privacy Preserved Clustering Based on Voronoi Diagram.
ISVD
Jinfei Liu, Jun Luo, Chenglin Fan
2011 — conf
Half-Plane Voronoi Diagram.
ISVD
Chenglin Fan, Jun Luo, Jinfei Liu, Yinfeng Xu
2011 — conf
Rating: Privacy Preservation for Multiple Attributes with Different Sensitivity Requirements.
ICDM Workshops
Jinfei Liu, Jun Luo, Joshua Zhexue Huang