Big Data Analysis Group
Our research topics include federated computing(federated LLM, heterogeneous federated learning et al.),
spatial-temporal data mining(spatial-temporal LLM, time series forecasting et al.),
vector databases for LLM, database system and crowd intelligence.
We design and develop big data algorithms and systems with both theoretical guarantees and practical usage.
  • [2024/10] Our MOOC Course "Algorithm Design and Analysis" was online for the tenth time.
  • [2022/01] Our system paper "Hu-Fu" was accepted by PVLDB 2022.
  • [2024/05] Our two papers were accepted by SIGKDD 2024.
  • [2024/04] Our MOOC Course "Algorithm Design and Analysis" was online for the ninth time.
  • [2024/01] Our one paper was accepted by ICLR 2024.
  • [2023/12] Congratulations to Wenhao Zhang for winning the "National Scholarship 2023"!
  • More...

Faculty

Yongxin Tong
yxtong(AT)buaa.edu.cn
Ke Xu
kexu(AT)nlsde.buaa.edu.cn
Yi Xu
xuy(AT)buaa.edu.cn
Yuxiang Zeng
yxzeng(AT)buaa.edu.cn

Postdoc Students

Shuyuan Li
Postdoc. 2024-present
5 papers in TKDE, SIGKDD, JOS
National Scholarship

Ph.D Students

Kaining Zhang
Ph.D. 2020-present
1 paper in DASFAA
Dingyuan Shi
Ph.D. 2020-present
10+ papers in ICLR, ICDE, SIGKDD
National Scholarship
Shuyue Wei
Ph.D. 2022-present
6 papers in ICDE, SIGKDD, BigData
National Scholarship
Yang Song
Ph.D. 2022-present
Boyi Liu
Ph.D. 2023-present
2 papers in SIGKDD, DEB
Yiming Ma
Ph.D. 2023-present
1 paper in SIGKDD
Yuxiang Wang
Ph.D. 2024-present
2 paper in TKDE
National Scholarship
Tianlong Zhang
Ph.D. 2024-present
Yiman Zhong
Ph.D. 2024-present
1 paper in TKDE
Yiming Niu
Ph.D. 2024-present

Master Students

Linghua Yang
Master. 2022-present
1 paper in SIGKDD
Yifan Du
Master. 2022-present
Zeqi Zhu
Master. 2022-present
Hao Zhou
Master. 2022-present
Haolong Yang
Master. 2022-present
Lehao Qu
Master. 2023-present
Wantong Chen
Master. 2023-present
1 paper in SIGKDD
Zeheng Fan
Master. 2023-present
Junzhe Su
Master. 2023-present
Binhan Yang
Master. 2024-present
Ziyuan He
Master. 2024-present
Tianran He
Master. 2024-present
National Scholarship
Zhuanglin Zheng
Master. 2024-present
Yuheng Liu
Master. 2024-present
Shurui Kou
Master. 2024-present
Jingkai Gao
Master. 2024-present

Undergraduate Interns

Zhilin Liang
Undergraduate. 2021-present
Hengjun Wang
Undergraduate. 2021-present
Zijie Ma
Undergraduate. 2021-present
Tongyu Wei
Undergraduate. 2021-present
Ruixi Hu
Undergraduate. 2022-present
Shuo Kang
Undergraduate. 2022-present
Xuanzheng Du
Undergraduate. 2023-present

Alumni

Yuxiang Zeng
Master. 2014-2017
Graduation Destination: HKUST
Tianshu Song
Ph.D. 2016-2021
Graduation Destination: Nanjing Big Data Administration
Qian Tao
Ph.D. 2016-2021
Graduation Destination: Alibaba DAMO Academy
Dawei Gao
Ph.D. 2016-2022
Graduation Destination: Alibaba DAMO Academy
Yexuan Shi
Ph.D. 2017-2022
Graduation Destination: Bytedance
Yansheng Wang
Ph.D. 2020-2023
Graduation Destination: Bytedance
Shuyuan Li
Ph.D. 2021-2024
Graduation Destination: CityU
More Alumni...


《Algorithm Design and Analysis》 MOOC Course

2024

  1. [TKDE 2024] Yuxiang Wang, Yuxiang Zeng, Shuyuan Li, Yuanyuan Zhang, Zimu Zhou, Yongxin Tong. "Efficient and Private Federated Trajectory Matching", to appear in IEEE Transactions on Knowledge and Data Engineering. PDF
  2. [TKDE 2024] Shuyuan Li, Yuxiang Zeng, Yuxiang Wang, Yiman Zhong, Zimu Zhou, Yongxin Tong. "An Experimental Study on Federated Equi-Joins", IEEE Transactions on Knowledge and Data Engineering, 36(9): 4443-4457, 2024. PDF Code&Data
  3. [SIGKDD 2024] Boyi Liu, Yiming Ma, Zimu Zhou, Yexuan Shi, Shuyuan Li, Yongxin Tong. "CASA: Clustered Federated Learning with Asynchronous Clients", in Proceedings of the 30th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Barcelona, Spain, August 25-29, 2024. PDF Code&Data
  4. [SIGKDD 2024] Linghua Yang, Wantong Chen, Xiaoxi He, Shuyue Wei, Yi Xu, Zimu Zhou, Yongxin Tong. "FedGTP: Exploiting Inter-Client Spatial Dependency in Federated Graph-based Traffic Prediction", in Proceedings of the 30th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Barcelona, Spain, August 25-29, 2024. PDF Code&Data
  5. [ICDE 2024] Jianyang Qin, Yan Jia, Yongxin Tong, Heyan Chai, Xuan Wang, Binxing Fang, Qing Liao. "MUSE-Net: Disentangling Multi-Periodicity for Traffic Flow Forecasting", in Proceedings of the 40th International Conference on Data Engineering, Utrecht, Netherlands, May 13-17, 2024. PDF
  6. [ICDE 2024] Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin. "HeteFedRec: Federated Recommender Systems with Model Heterogeneity", in Proceedings of the 40th International Conference on Data Engineering, Utrecht, Netherlands, May 13-17, 2024. PDF
  7. [ICDE 2024] Heyan Chai, Zeyu Liu, Yongxin Tong, Ziyi Yao, Binxing Fang, Qing Liao. "Towards Task-Conflicts Momentum-Calibrated Approach for Multi-task Learning", in Proceedings of the 40th International Conference on Data Engineering, Utrecht, Netherlands, May 13-17, 2024. PDF
  8. [ICLR 2024] Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Zheng Wang, Jieping Ye. "Graph-Constrained Diffusion for End-to-end Path Planning", in Proceedings of the 12th International Conference on Learning Representations, Vienna, Austria, May 7-11, 2024. PDF Code&Data
  9. [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
  10. [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. 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, CA, 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, CA, 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, CA, 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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