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- affiliation: Beihang University, Beijing, China
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2020 – today
- 2024
[j51]Fengxia Liu, Zhiming Zheng, Yexuan Shi, Yongxin Tong
, Yi Zhang:
A survey on federated learning: a perspective from multi-party computation. Frontiers Comput. Sci. 18(3): 181336 (2024)- [j50]Nan Sun, Wei Wang, Yongxin Tong, Kexin Liu:
Blockchain based federated learning for intrusion detection for Internet of Things. Frontiers Comput. Sci. 18(5): 185328 (2024) - [j49]Meihui Zhang, Cyrus Shahabi, Ju Fan, Yang Cao, Xiaoou Ding, Divesh Srivastava, Nesime Tatbul, Sihem Amer-Yahia, Yongxin Tong, Yuncheng Wu, Li Xiong, Torsten Grust, Themis Palpanas, Philippe Bonnet, Haixun Wang, Wook-Shin Han, Ibrahim Sabek, M. Tamer Özsu, Xiaofang Zhou:
Front Matter. Proc. VLDB Endow. 17(12) (2024) - [j48]Shuyuan Li, Yuxiang Zeng, Yuxiang Wang, Yiman Zhong, Zimu Zhou, Yongxin Tong:
An Experimental Study on Federated Equi-Joins. IEEE Trans. Knowl. Data Eng. 36(9): 4443-4457 (2024) - [c70]Heyan Chai, Zeyu Liu, Yongxin Tong, Ziyi Yao, Binxing Fang, Qing Liao:
Towards Task-Conflicts Momentum-Calibrated Approach for Multi-task Learning. ICDE 2024: 939-952 - [c69]Jianyang Qin, Yan Jia, Yongxin Tong, Heyan Chai, Ye Ding, Xuan Wang, Binxing Fang, Qing Liao:
MUSE-Net: Disentangling Multi-Periodicity for Traffic Flow Forecasting. ICDE 2024: 1282-1295 - [c68]Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin:
HeteFedRec: Federated Recommender Systems with Model Heterogeneity. ICDE 2024: 1324-1337 - [c67]Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Zheng Wang, Jieping Ye:
Graph-constrained diffusion for End-to-End Path Planning. ICLR 2024 - [c66]Boyi Liu, Yiming Ma, Zimu Zhou, Yexuan Shi, Shuyuan Li, Yongxin Tong:
CASA: Clustered Federated Learning with Asynchronous Clients. KDD 2024: 1851-1862 - [c65]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. KDD 2024: 6105-6116 - [e6]Makoto Onizuka, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu:
Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 14855, Springer 2024, ISBN 978-981-97-5571-4 [contents] - [e5]Makoto Onizuka, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu:
Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part VII. Lecture Notes in Computer Science 14856, Springer 2024, ISBN 978-981-97-5574-5 [contents] - [i15]Yan Kang, Ziyao Ren, Lixin Fan, Linghua Yang, Yongxin Tong, Qiang Yang:
Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learning. CoRR abs/2404.04490 (2024) - 2023
- [j47]Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Boyi Liu, Yexuan Shi, Shuyuan Li, Ke Xu, Weifeng Lv:
Federated Computing: Query, Learning, and Beyond. IEEE Data Eng. Bull. 46(1): 9-26 (2023) - [j46]Xiaoyong Du, Xiaochun Yang, Yongxin Tong:
Preface to the Special Issue on Theories and Technologies for Big Data Governance. Int. J. Softw. Informatics 13(1): 1-4 (2023) - [j45]Yuxiang Zeng, Yongxin Tong, Lei Chen:
LiteHST: A Tree Embedding based Method for Similarity Search. Proc. ACM Manag. Data 1(1): 35:1-35:26 (2023) - [j44]Yexuan Shi, Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Bolin Ding, Lei Chen:
Efficient Approximate Range Aggregation Over Large-Scale Spatial Data Federation. IEEE Trans. Knowl. Data Eng. 35(1): 418-430 (2023) - [j43]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 Trans. Knowl. Data Eng. 35(10): 9812-9823 (2023) - [c64]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. DASFAA (1) 2023: 351-368 - [c63]Shuyue Wei, Yongxin Tong, Zimu Zhou, Qiaoyang Liu, Lulu Zhang, Yuxiang Zeng, Jieping Ye:
Towards Capacity-Aware Broker Matching: From Recommendation to Assignment. ICDE 2023: 776-788 - [c62]Dingyuan Shi, Nan Zhou, Yongxin Tong, Zimu Zhou, Yi Xu, Ke Xu:
Collision-Aware Route Planning in Warehouses Made Efficient: A Strip-based Framework. ICDE 2023: 869-881 - [c61]Yansheng Wang, Yongxin Tong, Zimu Zhou, Ruisheng Zhang, Sinno Jialin Pan, Lixin Fan, Qiang Yang:
Distribution-Regularized Federated Learning on Non-IID Data. ICDE 2023: 2113-2125 - [c60]Wenhao Zhang, Zimu Zhou, Yansheng Wang, Yongxin Tong:
DM-PFL: Hitchhiking Generic Federated Learning for Efficient Shift-Robust Personalization. KDD 2023: 3396-3408 - [c59]Liyue Chen, Jiangyi Fang, Zhe Yu, Yongxin Tong, Shaosheng Cao, Leye Wang:
A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management. KDD 2023: 3842-3854 - [i14]Shuyue Wei, Yongxin Tong, Zimu Zhou, Qiaoyang Liu, Lulu Zhang, Yuxiang Zeng, Jieping Ye:
Towards Capacity-Aware Broker Matching: From Recommendation to Assignment. CoRR abs/2303.03024 (2023) - [i13]Liyue Chen, Jiangyi Fang, Zhe Yu, Yongxin Tong, Shaosheng Cao, Leye Wang:
A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management. CoRR abs/2306.02806 (2023) - [i12]Ziyao Ren, Yan Kang, Lixin Fan, Linghua Yang, Tao Fan, Yongxin Tong, Qiang Yang:
SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning. CoRR abs/2307.10579 (2023) - [i11]Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin:
HeteFedRec: Federated Recommender Systems with Model Heterogeneity. CoRR abs/2307.12810 (2023) - [i10]Yuxiang Wang, Yuxiang Zeng, Yi Xu, Zimu Zhou, Yongxin Tong:
Efficient and Private Federated Trajectory Matching. CoRR abs/2312.12012 (2023) - 2022
- [j42]Shuyuan Li, Yudian Ji, Dingyuan Shi, Wangdong Liao, Lipeng Zhang, Yongxin Tong, Ke Xu:
A Secure Multi-party Data Federation System. Int. J. Softw. Informatics 12(1): 107-129 (2022) - [j41]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. Proc. VLDB Endow. 15(6): 1159-1172 (2022) - [j40]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. Proc. VLDB Endow. 15(12): 3582-3585 (2022) - [j39]Qiang Yang, Yongxin Tong, Yang Liu, Yangqiu Song, Hao Peng, Boi Faltings:
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1. ACM Trans. Intell. Syst. Technol. 13(4): 52:1-52:3 (2022) - [j38]Qiang Yang, Yongxin Tong, Yang Liu, Yangqiu Song, Hao Peng, Boi Faltings:
Preface to Federated Learning: Algorithms, Systems, and Applications: Part 2. ACM Trans. Intell. Syst. Technol. 13(5): 69:1-69:2 (2022) - [j37]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 Trans. Knowl. Data Eng. 34(2): 723-735 (2022) - [j36]Yi Xu, Yongxin Tong, Yexuan Shi, Qian Tao, Ke Xu, Wei Li:
An Efficient Insertion Operator in Dynamic Ridesharing Services. IEEE Trans. Knowl. Data Eng. 34(8): 3583-3596 (2022) - [j35]Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Lei Chen, Ke Xu:
Unified Route Planning for Shared Mobility: An Insertion-based Framework. ACM Trans. Database Syst. 47(1): 2:1-2:48 (2022) - [c58]Ruisheng Zhang, Yansheng Wang, Zimu Zhou, Ziyao Ren, Yongxin Tong, Ke Xu:
Data Source Selection in Federated Learning: A Submodular Optimization Approach. DASFAA (2) 2022: 606-614 - [c57]Yexuan Shi, Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Bolin Ding, Lei Chen:
Efficient Approximate Range Aggregation over Large-scale Spatial Data Federation (Extended Abstract). ICDE 2022: 1559-1560 - [c56]Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Wenzhe Tan, Hongbo Li:
Adaptive Task Planning for Large-Scale Robotized Warehouses. ICDE 2022: 3327-3339 - [c55]Zhongnan Qu, Zimu Zhou, Yongxin Tong, Lothar Thiele:
p-Meta: Towards On-device Deep Model Adaptation. KDD 2022: 1441-1451 - [c54]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. KDD 2022: 4079-4089 - [c53]Yuxiang Zeng, Yongxin Tong, Lei Chen:
Faster and Better Solution to Embed Lp Metrics by Tree Metrics. SIGMOD Conference 2022: 2135-2148 - [i9]Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Wenzhe Tan, Hongbo Li:
Adaptive Task Planning for Large-Scale Robotized Warehouses. CoRR abs/2205.00831 (2022) - [i8]Zhongnan Qu, Zimu Zhou, Yongxin Tong, Lothar Thiele:
p-Meta: Towards On-device Deep Model Adaptation. CoRR abs/2206.12705 (2022) - 2021
- [j34]Yexuan Shi, Yongxin Tong, Zhiyang Su, Di Jiang, Zimu Zhou, Wenbin Zhang:
Federated Topic Discovery: A Semantic Consistent Approach. IEEE Intell. Syst. 36(5): 96-103 (2021) - [j33]Lei Chen, Hongzhi Wang, Yongxin Tong, Hong Gao:
Preface to the Special Issue on Data Management and Analysis Technique Supporting AI. Int. J. Softw. Informatics 11(1): 1-4 (2021) - [j32]Di Jiang, Yongxin Tong, Yuanfeng Song, Xueyang Wu, Weiwei Zhao, Jinhua Peng, Rongzhong Lian, Qian Xu, Qiang Yang:
Industrial Federated Topic Modeling. ACM Trans. Intell. Syst. Technol. 12(1): 2:1-2:22 (2021) - [j31]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 Trans. Intell. Syst. Technol. 12(3): 30:1-30:19 (2021) - [j30]Yongxin Tong, Yuxiang Zeng, Bolin Ding, Libin Wang, Lei Chen:
Two-Sided Online Micro-Task Assignment in Spatial Crowdsourcing. IEEE Trans. Knowl. Data Eng. 33(5): 2295-2309 (2021) - [c52]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. CDC 2021: 1802-1807 - [c51]Dawei Gao, Xiaoxi He, Zimu Zhou, Yongxin Tong, Lothar Thiele:
Pruning Meta-Trained Networks for On-Device Adaptation. CIKM 2021: 514-523 - [c50]Yuxiang Zeng, Yongxin Tong, Lei Chen:
HST+: An Efficient Index for Embedding Arbitrary Metric Spaces. ICDE 2021: 648-659 - [c49]Yansheng Wang, Yongxin Tong, Dingyuan Shi, Ke Xu:
An Efficient Approach for Cross-Silo Federated Learning to Rank. ICDE 2021: 1128-1139 - [c48]Xiaoxi He, Dawei Gao, Zimu Zhou, Yongxin Tong, Lothar Thiele:
Pruning-Aware Merging for Efficient Multitask Inference. KDD 2021: 585-595 - [c47]Dingyuan Shi, Yongxin Tong, Zimu Zhou, Bingchen Song, Weifeng Lv, Qiang Yang:
Learning to Assign: Towards Fair Task Assignment in Large-Scale Ride Hailing. KDD 2021: 3549-3557 - [c46]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. KDD 2021: 3605-3615 - [c45]Qian Tao, Yongxin Tong, Shuyuan Li, Yuxiang Zeng, Zimu Zhou, Ke Xu:
A Differentially Private Task Planning Framework for Spatial Crowdsourcing. MDM 2021: 9-18 - [c44]Hao Cheng, Shuyue Wei, Lingyu Zhang, Zimu Zhou, Yongxin Tong:
Engaging Drivers in Ride Hailing via Competition: A Case Study with Arena. MDM 2021: 19-28 - [c43]Kaixin Wang, Cheng Long, Yongxin Tong, Jie Zhang, Yi Xu:
Adaptive Holding for Online Bottleneck Matching with Delays. SDM 2021: 235-243 - [i7]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. CoRR abs/2105.08791 (2021) - 2020
- [j29]Yongxin Tong, Yansheng Wang, Dingyuan Shi:
Federated Learning in the Lens of Crowdsourcing. IEEE Data Eng. Bull. 43(3): 26-36 (2020) - [j28]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) - [j27]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) - [j26]Yuxiang Zeng, Yongxin Tong, Yuguang Song, Lei Chen:
The Simpler The Better: An Indexing Approach for Shared-Route Planning Queries. Proc. VLDB Endow. 13(13): 3517-3530 (2020) - [j25]Chen Jason Zhang, Lei Chen, H. V. Jagadish, Mengchen Zhang, Yongxin Tong:
Reducing Uncertainty of Schema Matching via Crowdsourcing with Accuracy Rates. IEEE Trans. Knowl. Data Eng. 32(1): 135-151 (2020) - [j24]Yongxin Tong, Zimu Zhou, Yuxiang Zeng, Lei Chen, Cyrus Shahabi:
Spatial crowdsourcing: a survey. VLDB J. 29(1): 217-250 (2020) - [c42]Yansheng Wang, Yongxin Tong, Dingyuan Shi:
Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework. AAAI 2020: 6283-6290 - [c41]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. DASFAA (3) 2020: 771-774 - [c40]Qian Tao, Yongxin Tong, Zimu Zhou, Yexuan Shi, Lei Chen, Ke Xu:
Differentially Private Online Task Assignment in Spatial Crowdsourcing: A Tree-based Approach. ICDE 2020: 517-528 - [c39]Yuanfeng Song, Yongxin Tong, Siqi Bao, Di Jiang, Hua Wu, Raymond Chi-Wing Wong:
TopicOcean: An Ever-Increasing Topic Model With Meta-learning. ICDM 2020: 1262-1267 - [c38]Dawei Gao, Xiaoxi He, Zimu Zhou, Yongxin Tong, Ke Xu, Lothar Thiele:
Rethinking Pruning for Accelerating Deep Inference At the Edge. KDD 2020: 155-164 - [p1]Shuyue Wei, Yongxin Tong, Zimu Zhou, Tianshu Song:
Efficient and Fair Data Valuation for Horizontal Federated Learning. Federated Learning 2020: 139-152
2010 – 2019
- 2019
- [j23]Yansheng Wang, Tianshu Song, Qian Tao, Yuxiang Zeng, Zimu Zhou, Yi Xu, Yongxin Tong, Lei Chen:
Interaction Management in Crowdsourcing. IEEE Data Eng. Bull. 42(4): 23-34 (2019) - [j22]Yuxiang Zeng, Yongxin Tong, Lei Chen:
Last-Mile Delivery Made Practical: An Efficient Route Planning Framework with Theoretical Guarantees. Proc. VLDB Endow. 13(3): 320-333 (2019) - [j21]Qiang Yang, Yang Liu, Tianjian Chen, Yongxin Tong:
Federated Machine Learning: Concept and Applications. ACM Trans. Intell. Syst. Technol. 10(2): 12:1-12:19 (2019) - [c37]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. AAAI 2019: 2221-2228 - [c36]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. AAAI 2019: 2245-2252 - [c35]Tianshu Song, Yongxin Tong, Shuyue Wei:
Profit Allocation for Federated Learning. IEEE BigData 2019: 2577-2586 - [c34]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. CIKM 2019: 59-68 - [c33]Di Jiang, Yuanfeng Song, Yongxin Tong, Xueyang Wu, Weiwei Zhao, Qian Xu, Qiang Yang:
Federated Topic Modeling. CIKM 2019: 1071-1080 - [c32]Yi Xu, Yongxin Tong, Yexuan Shi, Qian Tao, Ke Xu, Wei Li:
An Efficient Insertion Operator in Dynamic Ridesharing Services. ICDE 2019: 1022-1033 - [c31]Yansheng Wang, Yongxin Tong, Cheng Long, Pan Xu, Ke Xu, Weifeng Lv:
Adaptive Dynamic Bipartite Graph Matching: A Reinforcement Learning Approach. ICDE 2019: 1478-1489 - [c30]Libin Wang, Yongxin Tong, Chunming Hu, Lei Chen, Yiming Li:
Procrastination-Aware Scheduling: A Bipartite Graph Perspective. ICDE 2019: 1650-1653 - [c29]Yongxin Tong, Lei Chen, Zimu Zhou, H. V. Jagadish, Lidan Shou, Weifeng Lv:
SLADE: A Smart Large-Scale Task Decomposer in Crowdsourcing. ICDE 2019: 2133-2134 - [c28]Hao Liu, Yongxin Tong, Panpan Zhang, Xinjiang Lu, Jianguo Duan, Hui Xiong:
Hydra: A Personalized and Context-Aware Multi-Modal Transportation Recommendation System. KDD 2019: 2314-2324 - [e4]Guoliang Li, Jun Yang, João Gama, Juggapong Natwichai, Yongxin Tong:
Database Systems for Advanced Applications - 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11446, Springer 2019, ISBN 978-3-030-18575-6 [contents] - [e3]Guoliang Li, Jun Yang, João Gama, Juggapong Natwichai, Yongxin Tong:
Database Systems for Advanced Applications - 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11447, Springer 2019, ISBN 978-3-030-18578-7 [contents] - [e2]Guoliang Li, Jun Yang, João Gama, Juggapong Natwichai, Yongxin Tong:
Database Systems for Advanced Applications - 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings, Part III, and DASFAA 2019 International Workshops: BDMS, BDQM, and GDMA, Chiang Mai, Thailand, April 22-25, 2019, Proceedings. Lecture Notes in Computer Science 11448, Springer 2019, ISBN 978-3-030-18589-3 [contents] - [i6]Qiang Yang, Yang Liu, Tianjian Chen, Yongxin Tong:
Federated Machine Learning: Concept and Applications. CoRR abs/1902.04885 (2019) - [i5]Xiaoxi He, Dawei Gao, Zimu Zhou, Yongxin Tong, Lothar Thiele:
Disentangling Redundancy for Multi-Task Pruning. CoRR abs/1905.09676 (2019) - 2018
- [j20]Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Lei Chen, Jieping Ye, Ke Xu:
A Unified Approach to Route Planning for Shared Mobility. Proc. VLDB Endow. 11(11): 1633-1646 (2018) - [j19]Yongxin Tong, Zimu Zhou:
Dynamic task assignment in spatial crowdsourcing. ACM SIGSPATIAL Special 10(2): 18-25 (2018) - [j18]Yongxin Tong, Lei Chen, Zimu Zhou, H. V. Jagadish, Lidan Shou, Weifeng Lv:
SLADE: A Smart Large-Scale Task Decomposer in Crowdsourcing. IEEE Trans. Knowl. Data Eng. 30(8): 1588-1601 (2018) - [c27]Qian Tao, Yuxiang Zeng, Zimu Zhou, Yongxin Tong, Lei Chen, Ke Xu:
Multi-Worker-Aware Task Planning in Real-Time Spatial Crowdsourcing. DASFAA (2) 2018: 301-317 - [c26]Yuxiang Zeng, Yongxin Tong, Lei Chen, Zimu Zhou:
Latency-Oriented Task Completion via Spatial Crowdsourcing. ICDE 2018: 317-328 - [c25]Zheng Liu, Lei Chen, Yongxin Tong:
Realtime Traffic Speed Estimation with Sparse Crowdsourced Data. ICDE 2018: 329-340 - [c24]Bowen Du, Yongxin Tong, Zimu Zhou, Qian Tao, Wenjun Zhou:
Demand-Aware Charger Planning for Electric Vehicle Sharing. KDD 2018: 1330-1338 - [c23]Yongxin Tong, Libin Wang, Zimu Zhou, Lei Chen, Bowen Du, Jieping Ye:
Dynamic Pricing in Spatial Crowdsourcing: A Matching-Based Approach. SIGMOD Conference 2018: 773-788 - [i4]Chen Jason Zhang, Lei Chen, H. V. Jagadish, Mengchen Zhang, Yongxin Tong:
Reducing Uncertainty of Schema Matching via Crowdsourcing with Accuracy Rates. CoRR abs/1809.04017 (2018) - 2017
- [j17]Dawei Gao, Yongxin Tong, Jieying She, Tianshu Song, Lei Chen, Ke Xu:
Top-k Team Recommendation and Its Variants in Spatial Crowdsourcing. Data Sci. Eng. 2(2): 136-150 (2017) - [j16]Yong Chen, Hui Zhang, Yongxin Tong, Ming Lu:
Diversity Regularized Latent Semantic Match for Hashing. Neurocomputing 230: 77-87 (2017) - [j15]Yongxin Tong, Libin Wang, Zimu Zhou, Bolin Ding, Lei Chen, Jieping Ye, Ke Xu:
Flexible Online Task Assignment in Real-Time Spatial Data. Proc. VLDB Endow. 10(11): 1334-1345 (2017) - [j14]Yongxin Tong, Lei Chen, Cyrus Shahabi:
Spatial Crowdsourcing: Challenges, Techniques, and Applications. Proc. VLDB Endow. 10(12): 1988-1991 (2017) - [j13]Rui Meng, Lei Chen, Yongxin Tong, Chen Jason Zhang:
Knowledge Base Semantic Integration Using Crowdsourcing. IEEE Trans. Knowl. Data Eng. 29(5): 1087-1100 (2017) - [c22]Dawei Gao, Yongxin Tong, Yudian Ji, Ke Xu:
Team-Oriented Task Planning in Spatial Crowdsourcing. APWeb/WAIM (1) 2017: 41-56 - [c21]Tianshu Song, Yongxin Tong, Libin Wang, Jieying She, Bin Yao, Lei Chen, Ke Xu:
Trichromatic Online Matching in Real-Time Spatial Crowdsourcing. ICDE 2017: 1009-1020 - [c20]