Jun Luo

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 49

Top Topics

Trajectory Data

Top Venues

IEEE Trans. Big Data

IEEE Trans. Knowl. Data Eng.

Publications

Xinbo Zhao, Yingxue Zhang, Xin Zhang, Yu Yang, Yiqun Xie, Yanhua Li, Jun Luo
Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing. CoRR (2024)
Jun Luo, Haoyu Zhang, Jianjun Zhao
Dataflow-Based Optimization for Quantum Intermediate Representation Programs. CoRR (2024)
Xinbo Zhao, Yingxue Zhang, Xin Zhang, Yu Yang, Yiqun Xie, Yanhua Li, Jun Luo
Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing. KDD (2024)
Mingzhi Hu, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo
. SDM (2024)
Yingxue Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo
STM-GAIL: Spatial-Temporal Meta-GAIL for Learning Diverse Human Driving Strategies. SDM (2023)
Mingzhi Hu, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo
ST-iFGSM: Enhancing Robustness of Human Mobility Signature Identification Model via Spatial-Temporal Iterative FGSM. KDD (2023)
Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo
Off-Deployment Traffic Estimation - A Traffic Generative Adversarial Networks Approach. IEEE Trans. Big Data 8 (4) (2022)
Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo
cGAIL: Conditional Generative Adversarial Imitation Learning - An Application in Taxi Drivers' Strategy Learning. IEEE Trans. Big Data 8 (5) (2022)
Yingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo, Zhi-Li Zhang
Urban Traffic Dynamics Prediction - A Continuous Spatial-temporal Meta-learning Approach. ACM Trans. Intell. Syst. Technol. 13 (2) (2022)
Yingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo
Mest-GAN: Cross-City Urban Traffic Estimation with Me ta S patial-T emporal G enerative A dversarial N etworks. ICDM (2022)
Menghai Pan, Yanhua Li, Zhi-Li Zhang, Jun Luo
SCCS: Smart Cloud Commuting System With Shared Autonomous Vehicles. IEEE Trans. Big Data 8 (5) (2022)
Menghai Pan, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo
Learning Decision Making Strategies of Non-experts: A NEXT-GAIL Model for Taxi Drivers. SIGSPATIAL/GIS (2021)
Amin Vahedian Khezerlou, Xun Zhou, Ling Tong, Yanhua Li, Jun Luo
Forecasting Gathering Events through Trajectory Destination Prediction: A Dynamic Hybrid Model. IEEE Trans. Knowl. Data Eng. 33 (3) (2021)
Yingxue Zhang, Yanhua Li, Xun Zhou, Zhenming Liu, Jun Luo
-GAN: Complex-Condition-Controlled Urban Traffic Estimation through Generative Adversarial Networks. ICDM (2021)
Xin Zhang, Yanhua Li, Xun Zhou, Oren Mangoubi, Ziming Zhang, Vincent Filardi, Jun Luo
DAC-ML: Domain Adaptable Continuous Meta-Learning for Urban Dynamics Prediction. ICDM (2021)
Jinfei Liu, Li Xiong, Jian Pei, Jun Luo, Haoyu Zhang, Wenhui Yu
Group-Based Skyline for Pareto Optimal Groups. IEEE Trans. Knowl. Data Eng. 33 (7) (2021)
Jinfei Liu, Li Xiong, Qiuchen Zhang, Jian Pei, Jun Luo
Eclipse: Generalizing kNN and Skyline. ICDE (2021)
Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei, Jun Luo, Yuzhang Guo, Shuaicheng Ma, Chenglin Fan
Skyline Diagram: Efficient Space Partitioning for Skyline Queries. IEEE Trans. Knowl. Data Eng. 33 (1) (2021)
Yichen Ding, Xun Zhou, Guojun Wu, Yanhua Li, Jie Bao, Yu Zheng, Jun Luo
Mining Spatio-Temporal Reachable Regions With Multiple Sources over Massive Trajectory Data. IEEE Trans. Knowl. Data Eng. 33 (7) (2021)
Yingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo
cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Prediction. ICDM (2020)
Xin Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo
TrajGAIL: Trajectory Generative Adversarial Imitation Learning for Long-term Decision Analysis. ICDM (2020)
Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Zhenming Liu, Rui Song, Hui Lu, Zhihong Tian, Jun Luo
DHPA: Dynamic Human Preference Analytics Framework: A Case Study on Taxi Drivers' Learning Curve Analysis. ACM Trans. Intell. Syst. Technol. 11 (1) (2020)
Huimin Ren, Menghai Pan, Yanhua Li, Xun Zhou, Jun Luo
ST-SiameseNet: Spatio-Temporal Siamese Networks for Human Mobility Signature Identification. KDD (2020)
Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo
Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks. KDD (2020)
Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Zhenming Liu, Jie Bao, Yu Zheng, Jun Luo
Is Reinforcement Learning the Choice of Human Learners?: A Case Study of Taxi Drivers. SIGSPATIAL/GIS (2020)
Mingzhou Yang, Yanhua Li, Xun Zhou, Hui Lu, Zhihong Tian, Jun Luo
Inferring Passengers' Interactive Choices on Public Transits via MA-AL: Multi-Agent Apprenticeship Learning. WWW (2020)
Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Jun Luo
xGAIL: Explainable Generative Adversarial Imitation Learning for Explainable Human Decision Analysis. KDD (2020)
Jinfei Liu, Li Xiong, Jian Pei, Jun Luo, Haoyu Zhang, Si Zhang
SkyRec: Finding Pareto Optimal Groups. CIKM (2019)
Jinfei Liu, Li Xiong, Qiuchen Zhang, Jian Pei, Jun Luo
Eclipse: Generalizing kNN and Skyline. CoRR (2019)
Menghai Pan, Yanhua Li, Xun Zhou, Zhenming Liu, Rui Song, Hui Lu, Jun Luo
Dissecting the Learning Curve of Taxi Drivers: A Data-Driven Approach. SDM (2019)
Guojun Wu, Yanhua Li, Jun Luo
Transforming Policy via Reward Advancement. CDC (2019)
Ke Deng, Yanhua Li, Jia Zeng, Mingxuan Yuan, Jun Luo, Jeffrey Xu Yu
User Preference Analysis for Most Frequent Peer/Dominator. IEEE Trans. Knowl. Data Eng. 31 (7) (2019)
Yanhua Li, Guanxiong Liu, Zhi-Li Zhang, Jun Luo, Fan Zhang
CityLines: Designing Hybrid Hub-and-Spoke Transit System with Urban Big Data. IEEE Trans. Big Data 5 (4) (2019)
Yichen Ding, Yanhua Li, Xun Zhou, Zhuojie Huang, Simin You, Jun Luo
Sampling Big Trajectory Data for Traversal Trajectory Aggregate Query. IEEE Trans. Big Data 5 (4) (2019)
Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo
TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial Networks. ICDM (2019)
Guojun Wu, Yanhua Li, Zhenming Liu, Jie Bao, Yu Zheng, Jieping Ye, Jun Luo
Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle. CoRR (2019)
Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo
Unveiling Taxi Drivers' Strategies via cGAIL: Conditional Generative Adversarial Imitation Learning. ICDM (2019)
Haoyi Xiong, Amin Vahedian, Xun Zhou, Yanhua Li, Jun Luo
Predicting Traffic Congestion Propagation Patterns: A Propagation Graph Approach. IWCTS@SIGSPATIAL (2018)
Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei, Jun Luo
Skyline Diagram: Finding the Voronoi Counterpart for Skyline Queries. ICDE (2018)
Guojun Wu, Yanhua Li, Jie Bao, Yu Zheng, Jieping Ye, Jun Luo
Human-Centric Urban Transit Evaluation and Planning. ICDM (2018)
Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei, Jun Luo, Yuzhang Guo, Shuaicheng Ma, Chenglin Fan
Skyline Diagram: Efficient Space Partitioning for Skyline Queries. CoRR (2018)
Guanxiong Liu, Yanhua Li, Zhi-Li Zhang, Jun Luo, Fan Zhang
CityLines: Hybrid Hub-and-Spoke Urban Transit System. SIGSPATIAL/GIS (2017)
Guanxiong Liu, Menghai Pan, Yanhua Li, Zhi-Li Zhang, Jun Luo
Modeling urban trip demands in cloud-commuting system: A holistic approach. INFOCOM Workshops (2017)
Jinfei Liu, Li Xiong, Qiuchen Zhang, Jun Luo
Eclipse: Practicability Beyond 1NN and Skyline. CoRR (2017)
Guojun Wu, Yichen Ding, Yanhua Li, Jun Luo, Fan Zhang, Jie Fu
Data-driven inverse learning of passenger preferences in urban public transits. CDC (2017)
Guojun Wu, Yichen Ding, Yanhua Li, Jie Bao, Yu Zheng, Jun Luo
Mining Spatio-Temporal Reachable Regions over Massive Trajectory Data. ICDE (2017)
Amin Vahedian, Xun Zhou, Ling Tong, Yanhua Li, Jun Luo
Forecasting Gathering Events through Continuous Destination Prediction on Big Trajectory Data. SIGSPATIAL/GIS (2017)
Chen Liu, Ke Deng, Chaojie Li, Jianxin Li, Yanhua Li, Jun Luo
The Optimal Distribution of Electric-Vehicle Chargers across a City. ICDM (2016)
Ermal Toto, Elke A. Rundensteiner, Yanhua Li, Richard Jordan, Mariya Ishutkina, Kajal T. Claypool, Jun Luo, Fan Zhang
PULSE: A Real Time System for Crowd Flow Prediction at Metropolitan Subway Stations. ECML/PKDD (3) (2016)
Yanhua Li, Jun Luo, Chi-Yin Chow, Kam-Lam Chan, Ye Ding, Fan Zhang
Growing the charging station network for electric vehicles with trajectory data analytics. ICDE (2015)
Xiaofeng Xu, Li Xiong, Vaidy S. Sunderam, Jinfei Liu, Jun Luo
Speed Partitioning for Indexing Moving Objects. SSTD (2015)
Xiaofeng Xu, Li Xiong, Vaidy S. Sunderam, Jinfei Liu, Jun Luo
VPIndexer: velocity-based partitioning for indexing moving objects. SIGSPATIAL/GIS (2015)
Jinfei Liu, Li Xiong, Jian Pei, Jun Luo, Haoyu Zhang
Finding Pareto Optimal Groups: Group-based Skyline. Proc. VLDB Endow. 8 (13) (2015)
Jinfei Liu, Haoyu Zhang, Li Xiong, Haoran Li, Jun Luo
Finding Probabilistic k-Skyline Sets on Uncertain Data. CIKM (2015)
Jun Luo, Jinfei Liu, Li Xiong
Privacy Preserving Publication of Locations Based on Delaunay Triangulation. PAKDD (1) (2014)
Xiaofeng Xu, Li Xiong, Vaidy S. Sunderam, Jinfei Liu, Jun Luo
Speed Partitioning for Indexing Moving Objects. CoRR (2014)
Jinfei Liu, Li Xiong, Jun Luo
A privacy framework: indistinguishable privacy. EDBT/ICDT Workshops (2013)
Jinfei Liu, Li Xiong, Jun Luo
Semantic Security: Privacy Definitions Revisited. Trans. Data Priv. 6 (3) (2013)
Jinfei Liu, Li Xiong, Jun Luo, Joshua Zhexue Huang
Privacy Preserving Distributed DBSCAN Clustering. Trans. Data Priv. 6 (1) (2013)
Jinfei Liu, Joshua Zhexue Huang, Jun Luo, Li Xiong
Privacy preserving distributed DBSCAN clustering. EDBT/ICDT Workshops (2012)
Jinfei Liu, Jun Luo, Joshua Zhexue Huang
Rating: Privacy Preservation for Multiple Attributes with Different Sensitivity Requirements. ICDM Workshops (2011)
Jinfei Liu, Jun Luo, Chenglin Fan
Effective Privacy Preserved Clustering Based on Voronoi Diagram. ISVD (2011)
Chenglin Fan, Jun Luo, Jinfei Liu, Yinfeng Xu
Half-Plane Voronoi Diagram. ISVD (2011)