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ORCIDJun Luo 0007
Person information
- affiliation: Logistics and Supply Chain MultiTech R&D Centre, Hong Kong
- affiliation: Machine Intelligence Center Lenovo Group Limited, Hong Kong
- affiliation (PhD 2006): University of Texas at Dallas, TX, USA
Other persons with the same name
- Jun Luo — disambiguation page
- Jun Luo 0001
![[0000-0002-7036-5158]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-7036-5158")
— Nanyang Technological University, School of Computer Science and Engineering, Singapore - Jun Luo 0002 (aka: Jia-Jun Luo) — Chinese Academy of Sciences, Institute of Microelectronics, Beijing, China
- Jun Luo 0003 — Chongqing University, School of Computer Science, Chongqing, China
- Jun Luo 0004 — Harbin Institute of Technology, Department of Electrical Engineering, Harbin, China
- Jun Luo 0005 — Hohai University, Nanjing, China (and 1 more)
- Jun Luo 0006 — Chongqing University, College of Mechanical Engineering, State Key Laboratory of Mechanical Transmission, China (and 1 more)
- Jun Luo 0008 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China
- Jun Luo 0009 — Huawei Technologies Canada, Noah's Ark Lab, Toronto, Canada
- Jun Luo 0010 — University of Pittsburgh, Intelligent Systems Program, School of Computing and Information, PA, USA,
- Jun Luo 0011 — National University of Defense Technology, School of Computer Science, Changsha, Hunan, China (and 1 more)
- Jun Luo 0012 — Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China
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2020 – today
- 2025
[j16]Yingxue Zhang, Yanhua Li, Xun Zhou, Zhenming Liu, Jun Luo:
C3-GAN+: Complex-Condition-Controlled Generative Adversarial Networks with Enhanced Embedding. ACM Trans. Knowl. Discov. Data 19(2): 37:1-37:21 (2025)- [c48]Bang An, Xun Zhou, Zirui Zhou, Ronilo J. Ragodos, Zenglin Xu, Jun Luo:
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping. AAAI 2025: 11427-11435 - 2024
- [c47]Bang An, Xun Zhou, Amin Vahedian, W. Nick Street, Jinping Guan, Jun Luo:
LISA: Learning-Integrated Space Partitioning Framework for Traffic Accident Forecasting on Heterogeneous Spatiotemporal Data. ICDM 2024: 11-20 - [c46]Yuhang Liu, Yingxue Zhang, Xin Zhang, Yu Yang, Yiqun Xie, Sahar Ghanipoor Machiani, Yanhua Li, Jun Luo:
Align Along Time and Space: A Graph Latent Diffusion Model for Traffic Dynamics Prediction. ICDM 2024: 271-280 - [c45]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: 4512-4523 - [c44]Mingzhi Hu, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo:
Only Attending What Matter within Trajectories - Memory-Efficient Trajectory Attention. SDM 2024: 481-489 - [i9]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 abs/2406.14054 (2024) - [i8]Jun Luo, Haoyu Zhang, Jianjun Zhao:
Dataflow-Based Optimization for Quantum Intermediate Representation Programs. CoRR abs/2406.19592 (2024) - [i7]Bang An, Xun Zhou, Zirui Zhou, Ronilo J. Ragodos, Zenglin Xu, Jun Luo:
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models through Statistically-Guided Geo-Prototyping. CoRR abs/2412.15353 (2024) - [i6]Bang An, Xun Zhou, Amin Vahedian, W. Nick Street, Jinping Guan, Jun Luo:
LISA: Learning-Integrated Space Partitioning Framework for Traffic Accident Forecasting on Heterogeneous Spatiotemporal Data. CoRR abs/2412.15365 (2024) - 2023
- [c43]Tianyu Zhao, Min Zhou, Yanfang Mo, Jason Min Wang, Jun Luo, Xiang Pan, Minghua Chen:
Optimizing Demand Response in Distribution Network with Grid Operational Constraints. e-Energy 2023: 299-313 - [c42]Palawat Busaranuvong, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo:
CAC: Enabling Customer-Centered Passenger-Seeking for Self-Driving Ride Service with Conservative Actor-Critic. ICDM 2023: 21-30 - [c41]Mingzhi Hu, Zhuoyun Zhong, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo:
Self-supervised Pre-training for Robust and Generic Spatial-Temporal Representations. ICDM 2023: 150-159 - [c40]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: 764-774 - [c39]Yingxue Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo:
STM-GAIL: Spatial-Temporal Meta-GAIL for Learning Diverse Human Driving Strategies. SDM 2023: 208-216 - 2022
- [j15]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): 1084-1095 (2022) - [j14]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): 1288-1300 (2022) - [j13]Menghai Pan, Yanhua Li, Zhi-Li Zhang, Jun Luo:
SCCS: Smart Cloud Commuting System With Shared Autonomous Vehicles. IEEE Trans. Big Data 8(5): 1301-1311 (2022) - [j12]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): 23:1-23:19 (2022) - [c38]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: 733-742 - [c37]Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo:
STrans-GAN: Spatially-Transferable Generative Adversarial Networks for Urban Traffic Estimation. ICDM 2022: 743-752 - 2021
- [j11]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): 271-286 (2021) - [j10]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): 991-1004 (2021) - [j9]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): 2914-2929 (2021) - [j8]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): 2930-2942 (2021) - [c36]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: 149-158 - [c35]Jinfei Liu, Li Xiong, Qiuchen Zhang, Jian Pei, Jun Luo:
Eclipse: Generalizing kNN and Skyline. ICDE 2021: 972-983 - [c34]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: 906-915 - [c33]Yingxue Zhang, Yanhua Li, Xun Zhou, Zhenming Liu, Jun Luo:
C3-GAN: Complex-Condition-Controlled Urban Traffic Estimation through Generative Adversarial Networks. ICDM 2021: 1505-1510 - 2020
- [j7]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): 8:1-8:19 (2020) - [c32]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: 357-366 - [c31]Xin Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo:
TrajGAIL: Trajectory Generative Adversarial Imitation Learning for Long-term Decision Analysis. ICDM 2020: 801-810 - [c30]Yingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo:
cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Prediction. ICDM 2020: 1418-1423 - [c29]Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo:
Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks. KDD 2020: 842-852 - [c28]Huimin Ren, Menghai Pan, Yanhua Li, Xun Zhou, Jun Luo:
ST-SiameseNet: Spatio-Temporal Siamese Networks for Human Mobility Signature Identification. KDD 2020: 1306-1315 - [c27]Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Jun Luo:
xGAIL: Explainable Generative Adversarial Imitation Learning for Explainable Human Decision Analysis. KDD 2020: 1334-1343 - [c26]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: 1637-1647
2010 – 2019
- 2019
- [j6]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): 550-563 (2019) - [j5]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): 576-587 (2019) - [j4]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): 1412-1425 (2019) - [c25]Guojun Wu, Yanhua Li, Jun Luo:
Transforming Policy via Reward Advancement. CDC 2019: 4609-4614 - [c24]Jinfei Liu, Li Xiong, Jian Pei, Jun Luo, Haoyu Zhang, Si Zhang:
SkyRec: Finding Pareto Optimal Groups. CIKM 2019: 2913-2916 - [c23]Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo:
TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial Networks. ICDM 2019: 1474-1479 - [c22]Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo:
Unveiling Taxi Drivers' Strategies via cGAIL: Conditional Generative Adversarial Imitation Learning. ICDM 2019: 1480-1485 - [c21]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: 783-791 - [i5]Jinfei Liu, Li Xiong, Qiuchen Zhang, Jian Pei, Jun Luo:
Eclipse: Generalizing kNN and Skyline. CoRR abs/1906.06314 (2019) - [i4]Guojun Wu, Yanhua Li, Zhenming Liu, Jie Bao, Yu Zheng, Jieping Ye, Jun Luo:
Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle. CoRR abs/1907.05390 (2019) - 2018
- [c20]Haoyi Xiong, Amin Vahedian, Xun Zhou, Yanhua Li, Jun Luo:
Predicting Traffic Congestion Propagation Patterns: A Propagation Graph Approach. IWCTS@SIGSPATIAL 2018: 60-69 - [c19]Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei, Jun Luo:
Skyline Diagram: Finding the Voronoi Counterpart for Skyline Queries. ICDE 2018: 653-664 - [c18]Guojun Wu, Yanhua Li, Jie Bao, Yu Zheng, Jieping Ye, Jun Luo:
Human-Centric Urban Transit Evaluation and Planning. ICDM 2018: 547-556 - [i3]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 abs/1812.01663 (2018) - 2017
- [c17]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: 5068-5073 - [c16]Amin Vahedian, Xun Zhou, Ling Tong, Yanhua Li, Jun Luo:
Forecasting Gathering Events through Continuous Destination Prediction on Big Trajectory Data. SIGSPATIAL/GIS 2017: 34:1-34:10 - [c15]Guanxiong Liu, Yanhua Li, Zhi-Li Zhang, Jun Luo, Fan Zhang:
CityLines: Hybrid Hub-and-Spoke Urban Transit System. SIGSPATIAL/GIS 2017: 51:1-51:4 - [c14]Guojun Wu, Yichen Ding, Yanhua Li, Jie Bao, Yu Zheng, Jun Luo:
Mining Spatio-Temporal Reachable Regions over Massive Trajectory Data. ICDE 2017: 1283-1294 - [c13]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: 857-862 - [i2]Jinfei Liu, Li Xiong, Qiuchen Zhang, Jun Luo:
Eclipse: Practicability Beyond 1NN and Skyline. CoRR abs/1707.01223 (2017) - 2016
- [c12]Chen Liu, Ke Deng, Chaojie Li, Jianxin Li, Yanhua Li, Jun Luo:
The Optimal Distribution of Electric-Vehicle Chargers across a City. ICDM 2016: 261-270 - [c11]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: 112-128 - 2015
- [j3]Jinfei Liu, Li Xiong, Jian Pei, Jun Luo, Haoyu Zhang:
Finding Pareto Optimal Groups: Group-based Skyline. Proc. VLDB Endow. 8(13): 2086-2097 (2015) - [c10]Jinfei Liu, Haoyu Zhang, Li Xiong, Haoran Li, Jun Luo:
Finding Probabilistic k-Skyline Sets on Uncertain Data. CIKM 2015: 1511-1520 - [c9]Xiaofeng Xu, Li Xiong, Vaidy S. Sunderam, Jinfei Liu, Jun Luo:
VPIndexer: velocity-based partitioning for indexing moving objects. SIGSPATIAL/GIS 2015: 88:1-88:4 - [c8]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: 1376-1387 - [c7]Xiaofeng Xu, Li Xiong, Vaidy S. Sunderam, Jinfei Liu, Jun Luo:
Speed Partitioning for Indexing Moving Objects. SSTD 2015: 216-234 - 2014
- [c6]Jun Luo, Jinfei Liu, Li Xiong:
Privacy Preserving Publication of Locations Based on Delaunay Triangulation. PAKDD (1) 2014: 594-605 - [i1]Xiaofeng Xu, Li Xiong, Vaidy S. Sunderam, Jinfei Liu, Jun Luo:
Speed Partitioning for Indexing Moving Objects. CoRR abs/1411.4940 (2014) - 2013
- [j2]Jinfei Liu, Li Xiong, Jun Luo, Joshua Zhexue Huang:
Privacy Preserving Distributed DBSCAN Clustering. Trans. Data Priv. 6(1): 69-85 (2013) - [j1]Jinfei Liu, Li Xiong, Jun Luo:
Semantic Security: Privacy Definitions Revisited. Trans. Data Priv. 6(3): 185-198 (2013) - [c5]Jinfei Liu, Li Xiong, Jun Luo:
A privacy framework: indistinguishable privacy. EDBT/ICDT Workshops 2013: 131-136 - 2012
- [c4]Jinfei Liu, Joshua Zhexue Huang, Jun Luo, Li Xiong:
Privacy preserving distributed DBSCAN clustering. EDBT/ICDT Workshops 2012: 177-185 - 2011
- [c3]Jinfei Liu, Jun Luo, Joshua Zhexue Huang:
Rating: Privacy Preservation for Multiple Attributes with Different Sensitivity Requirements. ICDM Workshops 2011: 666-673 - [c2]Chenglin Fan, Jun Luo, Jinfei Liu, Yinfeng Xu:
Half-Plane Voronoi Diagram. ISVD 2011: 127-133 - [c1]Jinfei Liu, Jun Luo, Chenglin Fan:
Effective Privacy Preserved Clustering Based on Voronoi Diagram. ISVD 2011: 206-213
Coauthor Index
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