Big Data Analysis Group
Our research topics include federated learning, data federation, spatiotemporal big data analysis, privacy-preserving data analysis and crowd intelligence.
We design and develop big data algorithms and systems with both theoretical guarantees and practical usage.
  • [2023/10] Our MOOC Course "Algorithm Design and Analysis" was online for the eighth time.
  • [2022/01] Our system paper "Hu-Fu" was accepted by PVLDB 2022.
  • [2024/01] Our one paper was accepted by ICLR 2024.
  • [2023/05] Our two papers were accepted by SIGKDD 2023.
  • [2022/11] Our three papers were accepted by ICDE 2023, SIGMOD 2023.
  • [2022/09] Congratulations to Xuchen Pan for winning the "National Scholarship 2022".
  • More...
  • [2023/09] Congratulations to Wenhao Zhang for winning the "National Scholarship 2023"!
  • [2023/04] Our paper won the "Best Paper Award" in DASFAA 2023!
  • [2023/01] Congratulations to Yongxin Tong for winning the "CCF ADL Outstanding Academic Director 2022"!
  • [2023/01] Congratulations to Kaining Zhang, Yiming Niu and Boyi Liu for winning the "Star of School of Computer Science and Engineering, Beihang University 2022"!
  • [2022/09] Congratulations to Xuchen Pan for winning the "National Scholarship 2022"!
  • More...

Faculty

yxtong(AT)buaa.edu.cn
kexu(AT)nlsde.buaa.edu.cn
Yi Xu
xuy(AT)buaa.edu.cn
yxzeng(AT)buaa.edu.cn

Postdoctors

Postdoctor, 2022-present
10+ papers in TKDE, VLDB, ICDE, AAAI
Silver Medal of ACM-ICPC EC-FINAL
Gold Medal of ACM-ICPC Regional Contest

Ph.D Students

Ph.D. 2020-present
1 paper in DASFAA
DASFAA 2023 Best Paper Award
Outstanding Graduate of Beijing
Star of SCSE

Ph.D. 2021-present
3 papers in TKDE, MDM, JOS
National Scholarship
IEEE MDM 2021 Best Paper Award
Gold Medal of ACM-CCPC Girls' Match

Ph.D. 2022-present
10+ papers in TKDE, ICLR, ICDE, SIGKDD
National Scholarship
World Championship of KDD Cup 2020
Outstanding Graduate of Beijing

Ph.D. 2022-present
5 papers in ICDE, MDM, BigData
National Scholarship
IEEE MDM 2021 Best Student Paper Award
Outstanding Graduate of Beijing

Yang Song
Ph.D. 2022-present
Outstanding Postgraduate of Nanjing University
Boyi Liu
Ph.D. 2023-present
Outstanding Graduate of Beijing
First Prize of "Fengru Cup"

Yiming Ma
Ph.D. 2023-present

Master Students

Master. 2021-present
Outstanding Graduate of Beijing
Linghua Yang
Master. 2022-present
Outstanding Graduate of Beihang University
Merit Studnent of Beihang University
First Prize of "Lanqiao Cup"

Yuxiang Wang
Master. 2022-present
1 paper in TKDE
National Scholarship
Yifan Du
Master. 2022-present
Jilin University Third-Class Scholarship
CSC Scholarship

Zeqi Zhu
Master. 2022-present
Outstanding Graduate of Jilin University
Hao Zhou
Master. 2022-present
Outstanding Student Cadre of Beijing
Outstanding Graduate of Beihang University

Haolong Yang
Master. 2022-present
National Inspiration Scholarship
Lehao Qu
Master. 2023-present
Second Prize of "China Software Cup"
Tianlong Zhang
Master. 2023-present
Merit Student of Beihang University
Star of Beijing College

Wantong Chen
Master. 2023-present
Second Prize of MCM/ICM
First Prize of "Fengru Cup"

Yiming Niu
Master. 2023-present
First Prize of "China Software Cup"
First Prize of "Fengru Cup"
Star of SCSE

Zeheng Fan
Master. 2023-present
Bronze Medal of ACM-ICPC Regional Contest
First Prize of "Lanqiao Cup"

Yiman Zhong
Master. 2023-present
1 paper in TKDE
National Inspiration Scholarship
Second Prize of "Fengru Cup"

Junzhe Su
Master. 2023-present
Second Prize of "Lanqiao Cup"

Undergraduate Interns

Binhan Yang
Undergraduate. 2020-present
Silver Medal of ACM-ICPC Regional Contest
Silver Medal of CCPC
Silver Medal of CCF-CCSP

Ziyuan He
Undergraduate. 2020-present
First Prize in the Computer System Capability Competition OS Kernel Contest
Merit Student of Beihang University

Tianran He
Undergraduate. 2020-present
National Scholarship
Zhuanglin Zheng
Undergraduate. 2020-present
Third Prize of "Lanqiao Cup"
Yuheng Liu
Undergraduate. 2020-present
First prize of the China Undergraduate Mathematical Contest in Modeling
Second prize of the Chinese Mathematics Competitions

Shurui Kou
Undergraduate. 2020-present
First prize in the Capital Challenge Cup special track
Feng Ru Cup third prize

Zhilin Liang
Undergraduate. 2021-present
First Prize of the National College Student Mathematics Competition
First Prize in National Mathematical Modeling Competition
Merit Student of Beihang University

Ruixi Hu
Undergraduate. 2022-present
Merit student of Beihang University
University-level scholarship for academic excellence

Shuo Kang
Undergraduate. 2022-present
Second Prize of the National College Student Mathematics Competition

Alumni

Master. 2014-2017
Graduation Destination: CSE
Tianshu Song
Ph.D. 2016-2021
Graduation Destination: Nanjing Big Data Administration
Qian Tao
Ph.D. 2016-2021
Graduation Destination: Alibaba DAMO Academy
Ph.D. 2016-2022
Graduation Destination: Alibaba DAMO Academy
Ph.D. 2020-2023
Graduation Destination: Bytedance

2024

  1. [TKDE 2024] Shuyuan Li, Yuxiang Zeng, Yuxiang Wang, Yiman Zhong, Zimu Zhou, Yongxin Tong. "An Experimental Study on Federated Equi-Joins", to appear in IEEE Transactions on Knowledge and Data Engineering, 2024. PDF
  2. [ICLR 2024] Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Zheng Wang, Jieping Ye. "Graph-Constrained Diffusion for End-to-end Path Planning", to appear in International Conference on Learning Representations, 2024. PDF
  3. [FCS 2024] Fengxia Liu, Zhiming Zheng, Yexuan Shi, Yongxin Tong, Yi Zhang. "A Survey on Federated Learning: a Perspective from Multi-party Computation", Frontiers of Computer Science, 18(1): 1-11, 2024. PDF
  4. [FCS 2024] Nan Sun, Wei Wang, Yongxin Tong, Kexin Liu. "Blockchain Based Federated Learning for Intrusion Detection for Internet of Things", Frontiers of Computer Science, 18(5): 185328, 2024.

2023

  1. [TKDE 2023] Yongxin Tong, Dingyuan Shi, Yi Xu, Weifeng Lv, Zhiwei Qin, Xiaocheng Tang. "Combinatorial Optimization Meets Reinforcement Learning: Effective Taxi Order Dispatching at Large-Scale", IEEE Transactions on Knowledge and Data Engineering, 35(10): 9812-9823, 2023. PDF
  2. [TKDE 2023] Yexuan Shi, Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Bolin Ding, Lei Chen. "Efficient Approximate Range Aggregation over Large-scale Spatial Data Federation", IEEE Transactions on Knowledge and Data Engineering, 35(1): 418-430, 2023. PDF
  3. [SIGMOD 2023] Yuxiang Zeng, Yongxin Tong, Lei Chen. "LiteHST: A Tree Embedding based Method for Similarity Search", in Proceedings of the 42nd ACM SIGMOD International Conference on Management of Data, Pages 1-26, Seattle, WA, USA, June 18-23, 2023. PDF
  4. [SIGKDD 2023] Wenhao Zhang, Zimu Zhou, Yansheng Wang, Yongxin Tong. "DM-PFL: Hitchhiking Generic Federated Learning for Efficient Shift-Robust Personalization", in Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Pages 3396-3408, CA, USA, August 6-10, 2023. PDF
  5. [SIGKDD 2023] Liyue Chen, Jiangyi Fang, Zhe Yu, Yongxin Tong, Shaosheng Cao, Leye Wang. "A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management", in Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Pages 3842-3854, CA, USA, August 6-10, 2023. PDF
  6. [ICDE 2023] Yansheng Wang, Yongxin Tong, Zimu Zhou, Ruisheng Zhang, Sinno Jialin Pan, Lixin Fan, Qiang Yang. "Distribution-Regularized Federated Learning on Non-IID Data", in Proceedings of the 39th International Conference on Data Engineering, Pages 2113-2125, California, USA, April 3-7, 2023. PDF Code&Data
  7. [ICDE 2023] Dingyuan Shi, Nan Zhou, Yongxin Tong, Zimu Zhou, Yi Xu, Ke Xu. "Collision-Aware Route Planning in Warehouses Made Efficient: A Strip-based Framework", in Proceedings of the 39th International Conference on Data Engineering, Pages 869-881, California, USA, April 3-7, 2023. PDF
  8. [ICDE 2023] Shuyue Wei, Yongxin Tong, Zimu Zhou, Qiaoyang Liu, Lulu Zhang, Yuxiang Zeng, Jieping Ye. "Towards Capacity-Aware Broker Matching: From Recommendation to Assignment", in Proceedings of the 39th International Conference on Data Engineering, Pages 776-788, California, USA, April 3-7, 2023. PDF
  9. [DASFAA 2023] Kaining Zhang, Yongxin Tong, Yexuan Shi, Yuxiang Zeng, Yi Xu, Lei Chen, Zimu Zhou, Ke Xu, Weifeng Lv, Zhiming Zheng. "Approximate k-Nearest Neighbor Query over Spatial Data Federation", in Proceedings of the 28th International Conference on Database Systems for Advanced Applications, Pages 351-368, Tianjin, China, April 3-7, 2023. PDF [Best Paper Award]
  10. [DEB 2023] Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Boyi Liu, Yexuan Shi, Shuyuan Li, Ke Xu, Weifeng Lv. "Federated Computing: Query, Learning, and Beyond" , IEEE Data Engineering Bulletin, 46(1): 9-26, 2023. PDF

2022

  1. [TODS 2022] Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Lei Chen, Ke Xu. "Unified Route Planning for Shared Mobility: An Insertion-based Framework" , ACM Transactions on Database Systems, 47(1): 2:1-2:48, 2022. PDF
  2. [TKDE 2022] Yi Xu, Yongxin Tong, Yexuan Shi, Qian Tao, Ke Xu, Wei Li. "An Efficient Insertion Operator in Dynamic Ridesharing Services" , IEEE Transactions on Knowledge and Data Engineering, 34(8): 1022-1033, 2022. PDF [Invited as one of the Best Paper Nominations in ICDE 2019]
  3. [TKDE 2022] Hao Liu, Yongxin Tong, Jindong Han, Panpan Zhang, Xinjiang Lu, Hui Xiong. "Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation" , IEEE Transactions on Knowledge and Data Engineering, 34(2): 723-735, 2022. PDF
  4. [PVLDB 2022] Yongxin Tong, Xuchen Pan, Yuxiang Zeng, Yexuan Shi, Chunbo Xue, Zimu Zhou, Xiaofei Zhang, Lei Chen, Yi Xu, Ke Xu, Weifeng Lv. "Hu-Fu: Efficient and Secure Spatial Queries over Data Federation" , Proceedings of the VLDB Endowment, 15(6): 1159-1172, 2022. PDF Code&Data Poster
  5. [PVLDB 2022] Xuchen Pan, Yongxin Tong, Chunbo Xue, Zimu Zhou, Junping Du, Yuxiang Zeng, Yexuan Shi, Xiaofei Zhang, Lei Chen, Yi Xu, Ke Xu, Weifeng Lv. "Hu-Fu: A Data Federation System for Secure Spatial Queries" , Proceedings of the VLDB Endowment, 15(12): 3582-3585, 2022. PDF Code&Data Poster
  6. [SIGKDD 2022] Yansheng Wang, Yongxin Tong, Zimu Zhou, Ziyao Ren, Yi Xu, Guobin Wu, Weifeng Lv. "Fed-LTD: Towards Cross-Platform Ride Hailing via Federated Learning to Dispatch" , in Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Pages 4079-4089, Washington D.C., USA, August 14-18, 2022. PDF
  7. [SIGKDD 2022] Zhongnan Qu, Zimu Zhou, Yongxin Tong, Lothar Thiele. "p-Meta: Towards On-device Deep Model Adaptation" , in Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Pages 1441-1451, Washington D.C., USA, August 14-18, 2022. PDF
  8. [SIGMOD 2022] Yuxiang Zeng, Yongxin Tong, Lei Chen. "Faster and Better Solution to Embed Lp Metrics by Tree Metrics" , in Proceedings of the 41st ACM SIGMOD International Conference on Management of Data, Pages 2135-2148, PA, USA, June 12-17, 2022. PDF Slides Code&Data
  9. [ICDE 2022] Yexuan Shi, Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Bolin Ding, Lei Chen. "Efficient Approximate Range Aggregation over Large-scale Spatial Data Federation (Extended Abstract)" , in Proceedings of the 38th International Conference on Data Engineering, Pages 1559-1560, Kuala Lumpur, Malaysia, May 9-12, 2022. PDF
  10. [ICDE 2022] Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Wenzhe Tan, Hongbo Li. "Adaptive Task Planning for Large-Scale Robotized Warehouses" , in Proceedings of the 38th International Conference on Data Engineering, Pages 3327-3339, Kuala Lumpur, Malaysia, May 9-12, 2022. PDF
  11. [DASFAA 2022] Ruisheng Zhang, Yansheng Wang, Zimu Zhou, Ziyao Ren, Yongxin Tong, Ke Xu. "Data Source Selection in Federated Learning: A Submodular Optimization Approach" , in Proceedings of the 27th International Conference on Database Systems for Advanced Applications, Pages 606-614, Hyderabad, India, April 11-15, 2022. PDF
  12. [JOS 2022] Weifeng Lv, Zhiming Zheng, Yongxin Tong, Ruisheng Zhang, Shuyue Wei, Weihua Li. "Intelligent System for Distributed Social Governance Based on Big Data" , Journal of Software, 33(3): 931-949, 2022. PDF
  13. [JOS 2022] Shuyuan Li, Yudian Ji, Dingyuan Shi, Wangdong Liao, Lipeng Zhang, Yongxin Tong, Ke Xu. "Data Federation System for Multi-party Security" , Journal of Software, 33(3): 1111-1127, 2022. PDF

2021

  1. [TKDE 2021] Yongxin Tong, Yuxiang Zeng, Bolin Ding, Libin Wang, Lei Chen. "Two-Sided Online Micro-Task Assignment in Spatial Crowdsourcing" , IEEE Transactions on Knowledge and Data Engineering, 33(5): 2295-2309, 2021. PDF Code&Data
  2. [IS 2021] Yexuan Shi, Yongxin Tong, Zhiyang Su, Di Jiang, Zimu Zhou, Wenbin Zhang. "Federated Topic Discovery: A Semantic Consistent Approach" , IEEE Intelligent Systems, 36(5): 96-103, 2021. PDF
  3. [CIKM 2021] Dawei Gao, Xiaoxi He, Zimu Zhou, Yongxin Tong, Lothar Thiele. "Pruning Meta-Trained Networks for On-Device Adaptation" , in Proceedings of the 30th ACM International Conference on Information and Knowledge Management, Pages 514-523, Queensland, Australia, November 1-5, 2021. PDF
  4. [SIGKDD 2021] Dingyuan Shi, Yongxin Tong, Zimu Zhou, Bingchen Song, Weifeng Lv, Qiang Yang. "Learning to Assign: Towards Fair Task Assignment in Large-Scale Ride Hailing" , in Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Pages 3549-3557, Singapore, Singapore, August 14-18, 2021. PDF
  5. [SIGKDD 2021] Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye. "Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms" , in Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Pages 3605-3615, Singapore, Singapore, August 14-18, 2021. PDF
  6. [SIGKDD 2021] Xiaoxi He, Dawei Gao, Zimu Zhou, Yongxin Tong, Lothar Thiele. "Pruning-Aware Merging for Efficient Multitask Inference" , in Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Pages 585-595, Singapore, Singapore, August 14-18, 2021. PDF
  7. [TIST 2021] Di Jiang, Conghui Tan, Jinhua Peng, Chaotao Chen, Xueyang Wu, Weiwei Zhao, Yuanfeng Song, Yongxin Tong, Chang Liu, Qian Xu, Qiang Yang, Li Deng. "A GDPR-compliant Ecosystem for Speech Recognition with Transfer, Federated, and Evolutionary Learning" , ACM Transactions on Intelligent Systems and Technology, 12(3): 30:1-30:19, 2021. PDF
  8. [TIST 2021] Di Jiang, Yongxin Tong, Yuanfeng Song, Xueyang Wu, Weiwei Zhao, Jinhua Peng, Rongzhong Lian, Qian Xu, Qiang Yang. "Industrial Federated Topic Modeling" , ACM Transactions on Intelligent Systems and Technology, 12(1): 2:1-2:22, 2021. PDF
  9. [MDM 2021] Qian Tao, Yongxin Tong, Shuyuan Li, Yuxiang Zeng, Zimu Zhou, Ke Xu. "A Differentially Private Task Planning Framework for Spatial Crowdsourcing" , in Proceedings of the 22nd IEEE International Conference on Mobile Data Management, Pages 9-18, Toronto, Canada, June 15-18, 2021. PDF [Best Paper Award]
  10. [MDM 2021] Hao Cheng, Shuyue Wei, Lingyu Zhang, Zimu Zhou, Yongxin Tong. "Engaging Drivers in Ride Hailing via Competition: A Case Study with Arena" , in Proceedings of the 22nd IEEE International Conference on Mobile Data Management, Pages 19-28, Toronto, Canada, June 15-18, 2021. PDF
  11. [CDC 2021] Mengze Yu, Wei Wang, Jing Zhou, Yongxin Tong. "Adaptive Backstepping based Secure Control for P-normal Form of Second-Order Nonlinear Systems Against Deception Attacks" , in Proceedings of the 60th IEEE Conference on Decision and Control, Pages 1802-1807, TX, USA, December 14-17, 2021. PDF
  12. [SDM 2021] Kaixin Wang, Cheng Long, Yongxin Tong, Jie Zhang, Yi Xu. "Adaptive Holding for Online Bottleneck Matching with Delays" , in Proceedings of the SIAM International Conference on Data Mining, Pages 235-243, Proceedings of the 2021 SIAM International Conference on Data Mining (SDM), Virtual Conference, April 29 - May 1, 2021. PDF
  13. [ICDE 2021] Yansheng Wang, Yongxin Tong, Dingyuan Shi, Ke Xu. "An Efficient Approach for Cross-Silo Federated Learning to Rank" , in Proceedings of the 37th International Conference on Data Engineering, Pages 1128-1139, Crete, Greece, April 19-22, 2021. PDF Slides
  14. [ICDE 2021] Yuxiang Zeng, Yongxin Tong, Lei Chen. "HST+: An Efficient Index for Embedding Arbitrary Metric Spaces" , in Proceedings of the 37th International Conference on Data Engineering, Pages 648-659, Crete, Greece, April 19-22, 2021. PDF Slides Code&Data
  15. [JOS 2021] Lei Chen, Hongzhi Wang, Yongxin Tong, Hong Gao. "Preface to the Special Issue on Data Management and Analysis Technique Supporting AI" , Journal of Software, 32(3): 601-603, 2021. PDF
  16. [JOS 2021] Dingyuan Shi, Yansheng Wang, Pengfei Zheng, Yongxin Tong. "Cross-Silo Federated Learning-to-Rank" , Journal of Software, 32(3): 669-688, 2021. PDF

2020

  1. [TKDE 2020] Chen Jason Zhang, Lei Chen, H. V. Jagadish, Mengchen Zhang, Yongxin Tong. "Reducing Uncertainty of Schema Matching via Crowdsourcing with Accuracy Rates" , IEEE Transactions on Knowledge and Data Engineering, 32(1): 135-151, 2020. PDF
  2. [VLDBJ 2020] Yongxin Tong, Zimu Zhou, Yuxiang Zeng, Lei Chen, Cyrus Shahabi. "Spatial crowdsourcing: a survey" , The VLDB Journal, 29(1): 217-250, 2020. PDF
  3. [PVLDB 2020] Yuxiang Zeng, Yongxin Tong, Yuguang Song, Lei Chen. "The Simpler The Better: An Indexing Approach for Shared-Route Planning Queries" , Proceedings of the VLDB Endowment, 13(13): 3517-3530, 2020. PDF
  4. [DEB 2020] Yongxin Tong, Yansheng Wang, Dingyuan Shi. "Federated Learning in the Lens of Crowdsourcing" , IEEE Data Engineering Bulletin, 43(3): 26-36, 2020. PDF
  5. [GEIN 2020] Tianshu Song, Ke Xu, Jiangneng Li, Yiming Li, Yongxin Tong. "Multi-skill aware task assignment in real-time spatial crowdsourcing" , GeoInformatica, 24(1): 153-173, 2020. PDF
  6. [GEIN 2020] Yiming Li, Jingzhi Fang, Yuxiang Zeng, Balz Maag, Yongxin Tong, Lingyu Zhang. "Two-sided online bipartite matching in spatial data: experiments and analysis" , GeoInformatica, 24(1): 175-198, 2020. PDF Code&Data
  7. [DASFAA 2020] Conghui Tan, Di Jiang, Huaxiao Mo, Jinhua Peng, Yongxin Tong, Weiwei Zhao, Chaotao Chen, Rongzhong Lian, Yuanfeng Song, Qian Xu. "Federated Acoustic Model Optimization for Automatic Speech Recognition" , in Proceedings of the 25th International Conference on Database Systems for Advanced Applications, Pages 771-774, Jeju, South Korea, September 24-27, 2020. PDF
  8. [SIGKDD 2020] Dawei Gao, Xiaoxi He, Zimu Zhou, Yongxin Tong, Ke Xu, Lothar Thiele. "Rethinking Pruning for Accelerating Deep Inference At the Edge" , in Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Pages 155-164, California, USA, August 23-27, 2020. PDF
  9. [ICDE 2020] Qian Tao, Yongxin Tong, Zimu Zhou, Yexuan Shi, Lei Chen, Ke Xu. "Differentially Private Online Task Assignment in Spatial Crowdsourcing: A Tree-based Approach" , in Proceedings of the 36th International Conference on Data Engineering, Pages 517-528, Texas, USA, April 20-24, 2020. PDF
  10. [ICDM 2020] Yuanfeng Song, Yongxin Tong, Siqi Bao, Di Jiang, Hua Wu, Raymond Chi-Wing Wong. "TopicOcean: An Ever-Increasing Topic Model With Meta-learning" , in Proceedings of the 20th IEEE International Conference on Data Mining, Pages 1262-1267, Sorrento, Italy, November 17-20, 2020. PDF
  11. [AAAI 2020] Yansheng Wang, Yongxin Tong, Dingyuan Shi. "Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework" , in Proceedings of the 34th AAAI Conference on Artificial Intelligence, Pages 6283-6290, New York, USA, January 7-12, 2020. PDF Poster

2019

  1. [TIST 2019] Qiang Yang, Yang Liu, Tianjian Chen, Yongxin Tong. "Federated Machine Learning: Concept and Applications" , ACM Transactions on Intelligent Systems and Technology, 10(2): 12:1-12:19, 2019. PDF
  2. [PVLDB 2019] Yuxiang Zeng, Yongxin Tong, Lei Chen. "Last-Mile Delivery Made Practical: An Efficient Route Planning Framework with Theoretical Guarantees" , Proceedings of the VLDB Endowment, 13(3): 320-333, 2019. PDF Slides Code&Data
  3. [BigData 2019] Tianshu Song, Yongxin Tong, Shuyue Wei. "Profit Allocation for Federated Learning" , in Proceedings of the IEEE International Conference on Big Data, Pages 2577-2586, CA, USA, December 9-12, 2019. PDF Slides Code&Data Video
  4. [CIKM 2019] Di Jiang, Yuanfeng Song, Yongxin Tong, Xueyang Wu, Weiwei Zhao, Qian Xu, Qiang Yang. "Federated Topic Modeling" , in Proceedings of the 28th ACM International Conference on Information and Knowledge Management, Pages 1071-1080, Beijing, China, November 3-7, 2019. PDF
  5. [CIKM 2019] Lingyu Zhang, Tianshu Song, Yongxin Tong, Zimu Zhou, Dan Li, Wei Ai, Lulu Zhang, Guobin Wu, Yan Liu, Jieping Ye. "Recommendation-based Team Formation for On-demand Taxi-calling Platforms" , in Proceedings of the 28th ACM International Conference on Information and Knowledge Management, Pages 59-68, Beijing, China, November 3-7, 2019. PDF
  6. [SIGKDD 2019] Hao Liu, Yongxin Tong, Panpan Zhang, Xinjiang Lu, Jianguo Duan, Hui Xiong. "Hydra: A Personalized and Context-Aware Multi-Modal Transportation Recommendation System" , in Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Pages 2314-2324, Alaska, USA, August 4-8, 2019. PDF
  7. [ICDE 2019] Yi Xu, Yongxin Tong, Yexuan Shi, Qian Tao, Ke Xu, Wei Li. "An Efficient Insertion Operator in Dynamic Ridesharing Services" , in Proceedings of the 35th International Conference on Data Engineering, Pages 1022-1033, Macau, China, April 8-12, 2019. PDF [Best Paper Nominations]
  8. [DEB 2019] Yansheng Wang, Tianshu Song, Qian Tao, Yuxiang Zeng, Zimu Zhou, Yi Xu, Yongxin Tong, Lei Chen. "Interaction Management in Crowdsourcing" , IEEE Data Engineering Bulletin, 42(4): 23-34, 2019. PDF
  9. [ICDE 2019] Yansheng Wang, Yongxin Tong, Cheng Long, Pan Xu, Ke Xu, Weifeng Lv. "Adaptive Dynamic Bipartite Graph Matching: A Reinforcement Learning Approach" , in Proceedings of the 35th International Conference on Data Engineering, Pages 1478-1489, Macau, China, April 8-12, 2019. PDF
  10. [ICDE 2019] Libin Wang, Yongxin Tong, Chunming Hu, Lei Chen, Yiming Li. "Procrastination-Aware Scheduling: A Bipartite Graph Perspective" , in Proceedings of the 35th International Conference on Data Engineering, Pages 1650-1653, Macau, China, April 8-12, 2019. PDF
  11. [ICDE 2019] Yongxin Tong, Lei Chen, Zimu Zhou, H. V. Jagadish, Lidan Shou, Weifeng Lv. "SLADE: A Smart Large-Scale Task Decomposer in Crowdsourcing" , in Proceedings of the 35th International Conference on Data Engineering, Pages 2133-2134, Macau, China, April 8-12, 2019. PDF
  12. [AAAI 2019] Boming Zhao, Pan Xu, Yexuan Shi, Yongxin Tong, Zimu Zhou, Yuxiang Zeng. "Preference-Aware Task Assignment in On-Demand Taxi Dispatching: An Online Stable Matching Approach" , in Proceedings of the 33rd AAAI Conference on Artificial Intelligence, Pages 2245-2252, Hawaii, USA, January 27-February 1, 2019. PDF Code&Data
  13. [AAAI 2019] Pan Xu, Yexuan Shi, Hao Cheng, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yongxin Tong, Leonidas Tsepenekas. "A Unified Approach to Online Matching with Conflict-Aware Constraints" , in Proceedings of the 33rd AAAI Conference on Artificial Intelligence, Pages 2221-2228, Hawaii, USA, January 27-February 1, 2019. PDF
  14. [JOS 2019] Bin Cui, Jun Gao, Yongxin Tong, Jianqiu Xu, Dongxiang Zhang, Lei Zou. "Progress and Trend in Novel Data Management System" , Journal of Software, 30(1): 164-193, 2019. PDF

2018

  1. [TKDE 2018] Yongxin Tong, Lei Chen, Zimu Zhou, H. V. Jagadish, Lidan Shou, Weifeng Lv. "SLADE: A Smart Large-Scale Task Decomposer in Crowdsourcing" , IEEE Transactions on Knowledge and Data Engineering, 30(8): 1588-1601, 2018. PDF
  2. [SIGSPATIAL Special 2018] Yongxin Tong, Zimu Zhou. "Dynamic task assignment in spatial crowdsourcing" , in Proceedings of the SIGSPATIAL Special, 10(2): Pages 18-25, 2018. PDF
  3. [PVLDB 2018] Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Lei Chen, Jieping Ye, Ke Xu. "A Unified Approach to Route Planning for Shared Mobility" , Proceedings of the VLDB Endowment, 11(11): 1633-1646, 2018. PDF Slides Code&Data
  4. [SIGKDD 2018] Bowen Du, Yongxin Tong, Zimu Zhou, Qian Tao, Wenjun Zhou. "Demand-Aware Charger Planning for Electric Vehicle Sharing" , in Proceedings of the 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Pages 1330-1338, London, United Kingdom, August 19-23, 2018. PDF
  5. [SIGMOD 2018] Yongxin Tong, Libin Wang, Zimu Zhou, Lei Chen, Bowen Du, Jieping Ye. "Dynamic Pricing in Spatial Crowdsourcing: A Matching-Based Approach" , in Proceedings of the 37th ACM SIGMOD International Conference on Management of Data, Pages 773-788, TX, USA, June 10-15, 2018. PDF
  6. [DASFAA 2018] Qian Tao, Yuxiang Zeng, Zimu Zhou, Yongxin Tong, Lei Chen, Ke Xu. "Multi-Worker-Aware Task Planning in Real-Time Spatial Crowdsourcing" , in Proceedings of the 23rd International Conference on Database Systems for Advanced Applications, Pages 301-317, Gold Coast, Australia, May 21-24, 2018. PDF Code&Data
  7. [ICDE 2018] Yuxiang Zeng, Yongxin Tong, Lei Chen, Zimu Zhou. "Latency-Oriented Task Completion via Spatial Crowdsourcing" , in Proceedings of the 34th International Conference on Data Engineering, Pages 317-328, Paris, France, April 16-20, 2018. PDF Slides Code&Data
  8. [ICDE 2018] Zheng Liu, Lei Chen, Yongxin Tong. "Realtime Traffic Speed Estimation with Sparse Crowdsourced Data" , in Proceedings of the 34th International Conference on Data Engineering, Pages 329-340, Paris, France, April 16-20, 2018. PDF

2017

  1. [DSE 2017] Dawei Gao, Yongxin Tong, Jieying She, Tianshu Song, Lei Chen, Ke Xu. "Top-k Team Recommendation and Its Variants in Spatial Crowdsourcing" , Data Science and Engineering, 2(2): 136-150, 2017. PDF
  2. [TKDE 2017] Rui Meng, Lei Chen, Yongxin Tong, Chen Jason Zhang. "Knowledge Base Semantic Integration Using Crowdsourcing" , IEEE Transactions on Knowledge and Data Engineering, 29(5): 1087-1100, 2017. PDF
  3. [NeuroComp 2017] Yong Chen, Hui Zhang, Yongxin Tong, Ming Lu. "Diversity Regularized Latent Semantic Match for Hashing" , Neurocomputing, 230: 77-87, 2017. PDF
  4. [PVLDB 2017] Yongxin Tong, Lei Chen, Cyrus Shahabi. "Spatial Crowdsourcing: Challenges, Techniques, and Applications" , Proceedings of the VLDB Endowment, 10(12): 1988-1991, 2017. PDF
  5. [PVLDB 2017] Yongxin Tong, Libin Wang, Zimu Zhou, Bolin Ding, Lei Chen, Jieping Ye, Ke Xu. "Flexible Online Task Assignment in Real-Time Spatial Data" , Proceedings of the VLDB Endowment, 10(11): 1334-1345, 2017. PDF Code&Data Poster
  6. [SIGKDD 2017] Yongxin Tong, Yuqiang Chen, Zimu Zhou, Lei Chen, Jie Wang, Qiang Yang, Jieping Ye, Weifeng Lv. "The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms" , in Proceedings of the 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Pages 1653-1662, Nova Scotia, Canada, August 13-17, 2017. PDF
  7. [APWeb-WAIM 2017] Dawei Gao, Yongxin Tong, Yudian Ji, Ke Xu. "Team-Oriented Task Planning in Spatial Crowdsourcing" , in Proceedings of the 1st Asia Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint Conference on Web and Big Data, Pages 41-56, Beijing, China, July 7-9, 2017. PDF
  8. [SIGMOD 2017] Jieying She, Yongxin Tong, Lei Chen, Tianshu Song. "Feedback-Aware Social Event-Participant Arrangement" , in Proceedings of the 36th ACM SIGMOD International Conference on Management of Data, Pages 851-865, IL, USA, May 14-19, 2017. PDF Slides Poster
  9. [ICDE 2017] Tianshu Song, Yongxin Tong, Libin Wang, Jieying She, Bin Yao, Lei Chen, Ke Xu. "Trichromatic Online Matching in Real-Time Spatial Crowdsourcing" , in Proceedings of the 33rd International Conference on Data Engineering, Pages 1009-1020, California, USA, April 19-22, 2017. PDF Poster
  10. [JOS 2017] Tianshu Song, Yongxin Tong, Libin Wang, Ke Xu. "Online Task Assignment for Three Types of Objects under Spatial Crowdsourcing Environment" , Journal of Software, 28(3): 611-630, 2017. PDF
  11. [JOS 2017] Yongxin Tong, Ye Yuan, Yurong Cheng, Lei Chen, Guoren Wang. "Survey on Spatiotemporal Crowdsourced Data Management Techniques" , Journal of Software, 28(1): 35-58, 2017. PDF

2016

  1. [TOIS 2016] Di Jiang, Yongxin Tong, Yuanfeng Song. "Cross-Lingual Topic Discovery From Multilingual Search Engine Query Log" , ACM Transactions on Information Systems, 35(2): 9:1-9:28, 2016. PDF
  2. [WWW 2016] Yongxin Tong, Jieying She, Rui Meng. "Bottleneck-aware arrangement over event-based social networks: the max-min approach" , in Proceedings of the World Wide Web Journal, 19(6): Pages 1151-1177, 2016. PDF
  3. [TKDE 2016] Jieying She, Yongxin Tong, Lei Chen, Caleb Chen Cao. "Conflict-Aware Event-Participant Arrangement and Its Variant for Online Setting" , IEEE Transactions on Knowledge and Data Engineering, 28(9): 2281-2295, 2016. PDF
  4. [WWW 2016] Yongxin Tong, Xiaofei Zhang, Lei Chen. "Tracking frequent items over distributed probabilistic data" , in Proceedings of the World Wide Web Journal, 19(4): Pages 579-604, 2016. PDF
  5. [PVLDB 2016] Yongxin Tong, Jieying She, Bolin Ding, Lei Chen, Tianyu Wo, Ke Xu. "Online Minimum Matching in Real-Time Spatial Data: Experiments and Analysis" , Proceedings of the VLDB Endowment, 9(12): 1053-1064, 2016. PDF Poster
  6. [WAIM 2016] Dawei Gao, Yongxin Tong, Jieying She, Tianshu Song, Lei Chen, Ke Xu. "Top-k Team Recommendation in Spatial Crowdsourcing" , in Proceedings of the 17th International Conference on Web-Age Information Management, Pages 191-204, Jiangxi, China, June 3-5, 2016. PDF [Best Paper Award]
  7. [WAIM 2016] Qinyi Wang, Jieying She, Tianshu Song, Yongxin Tong, Lei Chen, Ke Xu. "Adjustable Time-Window-Based Event Detection on Twitter" , in Proceedings of the 17th International Conference on Web-Age Information Management, Pages 265-278, Jiangxi, China, June 3-5, 2016. PDF
  8. [ICDE 2016] Yongxin Tong, Jieying She, Bolin Ding, Libin Wang, Lei Chen. "Online mobile Micro-Task Allocation in spatial crowdsourcing" , in Proceedings of the 32nd International Conference on Data Engineering, Pages 49-60, Helsinki, Finland, May 16-20, 2016. PDF Slides Code&Data Poster

2015

  1. [JCST 2015] Yongxin Tong, Jieying She, Lei Chen. "Towards Better Understanding of App Functions" , Journal of Computer Science and Technology, 30(5): 1130-1140, 2015. PDF
  2. [DAPD 2015] Xiaofei Zhang, Yongxin Tong, Lei Chen, Min Wang, Shicong Feng. "Locality-aware allocation of multi-dimensional correlated files on the cloud platform" , Distributed and Parallel Databases: An International Journal, 33(3): 353-380, 2015. PDF
  3. [JCST 2015] Yongxin Tong, Lei Chen, Jieying She. "Mining Frequent Itemsets in Correlated Uncertain Databases" , Journal of Computer Science and Technology, 30(4): 696-712, 2015. PDF
  4. [ICDM 2015] Rui Meng, Yongxin Tong, Lei Chen, Caleb Chen Cao. "CrowdTC: Crowdsourced Taxonomy Construction" , in Proceedings of the 15th IEEE International Conference on Data Mining, Pages 913-918, Atlantic City, USA, November 11-14, 2015. PDF
  5. [SIGMOD 2015] Jieying She, Yongxin Tong, Lei Chen. "Utility-Aware Social Event-Participant Planning" , in Proceedings of the 34th ACM SIGMOD International Conference on Management of Data, Pages 1629-1643, Melbourne, Australia, May 31- June 4, 2015. PDF Slides Poster
  6. [ICDE 2015] Jieying She, Yongxin Tong, Lei Chen, Caleb Chen Cao. "Conflict-aware event-participant arrangement" , in Proceedings of the 31st International Conference on Data Engineering, Pages 735-746, Seoul, Korea, April 13-16, 2015. PDF Slides Poster
  7. [ICDE 2015] Chen Jason Zhang, Lei Chen, Yongxin Tong, Zheng Liu. "Cleaning uncertain data with a noisy crowd" , in Proceedings of the 31st International Conference on Data Engineering, Pages 6-17, Seoul, Korea, April 13-16, 2015. PDF
  8. [SSEPM 2015] Yongxin Tong, Rui Meng, Jieying She. "On bottleneck-aware arrangement for event-based social networks" , in Proceedings of the 1st International Workshop on Scalable Social Event Processing and Management, Pages 216-223, Seoul, Korea, April 13, 2015. PDF

2014

  1. [PVLDB 2014] Chen Jason Zhang, Yongxin Tong, Lei Chen. "Where To: Crowd-Aided Path Selection" , Proceedings of the VLDB Endowment, 7(14): 2005-2016, 2014. PDF
  2. [PVLDB 2014] Zhao Chen, Rui Fu, Ziyuan Zhao, Zheng Liu, Leihao Xia, Lei Chen, Peng Cheng, Caleb Chen Cao, Yongxin Tong, Chen Jason Zhang. "gMission: A General Spatial Crowdsourcing Platform" , Proceedings of the VLDB Endowment, 7(13): 1629-1632, 2014. PDF [Excellent Demonstration Award]
  3. [CIKM 2014] Yongxin Tong, Xiaofei Zhang, Caleb Chen Cao, Lei Chen. "Efficient Probabilistic Supergraph Search Over Large Uncertain Graphs" , in Proceedings of the 23rd ACM International Conference on Information and Knowledge Management, Pages 809-818, Shanghai, China, November 3-7, 2014. PDF
  4. [CIKM 2014] Chen Jason Zhang, Lei Chen, Yongxin Tong. "MaC: A Probabilistic Framework for Query Answering with Machine-Crowd Collaboration" , in Proceedings of the 23rd ACM International Conference on Information and Knowledge Management, Pages 11-20, Shanghai, China, November 3-7, 2014. PDF
  5. [SIGKDD 2014] Yongxin Tong, Caleb Chen Cao, Lei Chen. "TCS: efficient topic discovery over crowd-oriented service data" , in Proceedings of the 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Pages 861-870, New York, USA, August 24-27, 2014. PDF
  6. [ICDE 2014] Yongxin Tong, Caleb Chen Cao, Chen Jason Zhang, Yatao Li, Lei Chen. "CrowdCleaner: Data cleaning for multi-version data on the web via crowdsourcing" , in Proceedings of the 30th International Conference on Data Engineering, Pages 1182-1185, IL, USA, March 31-April 4, 2014. PDF Poster
  7. [SIGKDD 2013] Caleb Chen Cao, Yongxin Tong, Lei Chen, H. V. Jagadish. "WiseMarket: a new paradigm for managing wisdom of online social users" , in Proceedings of the 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Pages 455-463, Chicago, Illinois, August 11-14, 2013. PDF Slides
  8. [ICDE 2013] Xiaofei Zhang, Lei Chen, Yongxin Tong, Min Wang. "EAGRE: Towards scalable I/O efficient SPARQL query evaluation on the cloud" , in Proceedings of the 29th International Conference on Data Engineering, Pages 565-576, Brisbane, Australia, April 8-11, 2013. PDF
  9. [PVLDB 2012] Yongxin Tong, Lei Chen, Yurong Cheng, Philip S. Yu. "Mining Frequent Itemsets over Uncertain Databases" , Proceedings of the VLDB Endowment, 5(11): 1650-1661, 2012. PDF Slides Executable Code and Datasets
  10. [PVLDB 2012] Caleb Chen Cao, Jieying She, Yongxin Tong, Lei Chen. "Whom to Ask? Jury Selection for Decision Making Tasks on Micro-blog Services" , Proceedings of the VLDB Endowment, 5(11): 1495-1506, 2012. PDF Slides
  11. [SIGKDD 2012] Yongxin Tong, Lei Chen, Philip S. Yu. "UFIMT: an uncertain frequent itemset mining toolbox" , in Proceedings of the 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Pages 1508-1511, Beijing, China, August 12-16, 2012. PDF Poster
  12. [ICDE 2012] Yongxin Tong, Lei Chen, Bolin Ding. "Discovering Threshold-based Frequent Closed Itemsets over Probabilistic Data" , in Proceedings of the 28th International Conference on Data Engineering, Pages 270-281, DC, USA, April 1-5, 2012. PDF Slides
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