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
2 papers in 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, 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
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
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
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

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. [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.
  2. [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
  3. [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.