Yongxin Tong

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 111

Top Venues

Publications

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) (2024)
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) (2024)
Yan Kang, Ziyao Ren, Lixin Fan, Linghua Yang, Yongxin Tong, Qiang Yang
Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learning. CoRR (2024)
Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Zheng Wang, Jieping Ye
Graph-constrained diffusion for End-to-End Path Planning. ICLR (2024)
Nan Sun, Wei Wang, Yongxin Tong, Kexin Liu
Blockchain based federated learning for intrusion detection for Internet of Things. Frontiers Comput. Sci. 18 (5) (2024)
Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin
HeteFedRec: Federated Recommender Systems with Model Heterogeneity. ICDE (2024)
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)
Heyan Chai, Zeyu Liu, Yongxin Tong, Ziyi Yao, Binxing Fang, Qing Liao
Towards Task-Conflicts Momentum-Calibrated Approach for Multi-task Learning. ICDE (2024)
Boyi Liu, Yiming Ma, Zimu Zhou, Yexuan Shi, Shuyuan Li, Yongxin Tong
CASA: Clustered Federated Learning with Asynchronous Clients. KDD (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. KDD (2024)
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) (2023)
Shuyue Wei, Yongxin Tong, Zimu Zhou, Qiaoyang Liu, Lulu Zhang, Yuxiang Zeng, Jieping Ye
Towards Capacity-Aware Broker Matching: From Recommendation to Assignment. CoRR (2023)
Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin
HeteFedRec: Federated Recommender Systems with Model Heterogeneity. CoRR (2023)
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)
Yuxiang Wang, Yuxiang Zeng, Yi Xu, Zimu Zhou, Yongxin Tong
Efficient and Private Federated Trajectory Matching. CoRR (2023)
Liyue Chen, Jiangyi Fang, Zhe Yu, Yongxin Tong, Shaosheng Cao, Leye Wang
A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management. CoRR (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 Trans. Knowl. Data Eng. 35 (10) (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 Eng. Bull. 46 (1) (2023)
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)
Ziyao Ren, Yan Kang, Lixin Fan, Linghua Yang, Tao Fan, Yongxin Tong, Qiang Yang
SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning. CoRR (2023)
Wenhao Zhang, Zimu Zhou, Yansheng Wang, Yongxin Tong
DM-PFL: Hitchhiking Generic Federated Learning for Efficient Shift-Robust Personalization. KDD (2023)
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)
Yuxiang Zeng, Yongxin Tong, Lei Chen
LiteHST: A Tree Embedding based Method for Similarity Search. Proc. ACM Manag. Data 1 (1) (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. DASFAA (1) (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. ICDE (2023)
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) (2023)
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) (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. Proc. VLDB Endow. 15 (6) (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). ICDE (2022)
Zhongnan Qu, Zimu Zhou, Yongxin Tong, Lothar Thiele
p-Meta: Towards On-device Deep Model Adaptation. KDD (2022)
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) (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 Trans. Knowl. Data Eng. 34 (2) (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. KDD (2022)
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) (2022)
Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Wenzhe Tan, Hongbo Li
Adaptive Task Planning for Large-Scale Robotized Warehouses. CoRR (2022)
Yuxiang Zeng, Yongxin Tong, Lei Chen
Faster and Better Solution to Embed Lp Metrics by Tree Metrics. SIGMOD Conference (2022)
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) (2022)
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) (2022)
Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Wenzhe Tan, Hongbo Li
Adaptive Task Planning for Large-Scale Robotized Warehouses. ICDE (2022)
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)
Zhongnan Qu, Zimu Zhou, Yongxin Tong, Lothar Thiele
p-Meta: Towards On-device Deep Model Adaptation. CoRR (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. Proc. VLDB Endow. 15 (12) (2022)
Dawei Gao, Xiaoxi He, Zimu Zhou, Yongxin Tong, Lothar Thiele
Pruning Meta-Trained Networks for On-Device Adaptation. CIKM (2021)
Qian Tao, Yongxin Tong, Shuyuan Li, Yuxiang Zeng, Zimu Zhou, Ke Xu
A Differentially Private Task Planning Framework for Spatial Crowdsourcing. MDM (2021)
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) (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. KDD (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 Trans. Intell. Syst. Technol. 12 (3) (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. KDD (2021)
Kaixin Wang, Cheng Long, Yongxin Tong, Jie Zhang, Yi Xu
Adaptive Holding for Online Bottleneck Matching with Delays. SDM (2021)
Hao Cheng, Shuyue Wei, Lingyu Zhang, Zimu Zhou, Yongxin Tong
Engaging Drivers in Ride Hailing via Competition: A Case Study with Arena. MDM (2021)
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) (2021)
Yexuan Shi, Yongxin Tong, Zhiyang Su, Di Jiang, Zimu Zhou, Wenbin Zhang
Federated Topic Discovery: A Semantic Consistent Approach. IEEE Intell. Syst. 36 (5) (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. CDC (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. CoRR (2021)
Jiaqian Ren, Hao Peng, Lei Jiang, Jia Wu, Yongxin Tong, Lihong Wang, Xu Bai, Bo Wang, Qiang Yang
Transferring Knowledge Distillation for Multilingual Social Event Detection. CoRR (2021)
Yansheng Wang, Yongxin Tong, Dingyuan Shi, Ke Xu
An Efficient Approach for Cross-Silo Federated Learning to Rank. ICDE (2021)
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) (2021)
Yuxiang Zeng, Yongxin Tong, Lei Chen
HST+: An Efficient Index for Embedding Arbitrary Metric Spaces. ICDE (2021)
Xiaoxi He, Dawei Gao, Zimu Zhou, Yongxin Tong, Lothar Thiele
Pruning-Aware Merging for Efficient Multitask Inference. KDD (2021)
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) (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. ICDE (2020)
Tianshu Song, Ke Xu, Jiangneng Li, Yiming Li, Yongxin Tong
Multi-skill aware task assignment in real-time spatial crowdsourcing. GeoInformatica 24 (1) (2020)
Dawei Gao, Xiaoxi He, Zimu Zhou, Yongxin Tong, Ke Xu, Lothar Thiele
Rethinking Pruning for Accelerating Deep Inference At the Edge. KDD (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) (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. DASFAA (3) (2020)
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)
Yongxin Tong, Zimu Zhou, Yuxiang Zeng, Lei Chen, Cyrus Shahabi
Spatial crowdsourcing: a survey. VLDB J. 29 (1) (2020)
Yansheng Wang, Yongxin Tong, Dingyuan Shi
Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework. AAAI (2020)
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) (2020)
Yongxin Tong, Yansheng Wang, Dingyuan Shi
Federated Learning in the Lens of Crowdsourcing. IEEE Data Eng. Bull. 43 (3) (2020)
Di Jiang, Yuanfeng Song, Yongxin Tong, Xueyang Wu, Weiwei Zhao, Qian Xu, Qiang Yang
Federated Topic Modeling. CIKM (2019)
Xiaoxi He, Dawei Gao, Zimu Zhou, Yongxin Tong, Lothar Thiele
Disentangling Redundancy for Multi-Task Pruning. CoRR (2019)
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)
Libin Wang, Yongxin Tong, Chunming Hu, Lei Chen, Yiming Li
Procrastination-Aware Scheduling: A Bipartite Graph Perspective. ICDE (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. 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. AAAI (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. CIKM (2019)
Qiang Yang, Yang Liu, Tianjian Chen, Yongxin Tong
Federated Machine Learning: Concept and Applications. CoRR (2019)
Qiang Yang, Yang Liu, Tianjian Chen, Yongxin Tong
Federated Machine Learning: Concept and Applications. ACM Trans. Intell. Syst. Technol. 10 (2) (2019)
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) (2019)
Yuxiang Zeng, Yongxin Tong, Lei Chen
Last-Mile Delivery Made Practical: An Efficient Route Planning Framework with Theoretical Guarantees. Proc. VLDB Endow. 13 (3) (2019)
Tianshu Song, Yongxin Tong, Shuyue Wei
Profit Allocation for Federated Learning. IEEE BigData (2019)
Yi Xu, Yongxin Tong, Yexuan Shi, Qian Tao, Ke Xu, Wei Li
An Efficient Insertion Operator in Dynamic Ridesharing Services. ICDE (2019)
Yongxin Tong, Lei Chen, Zimu Zhou, H. V. Jagadish, Lidan Shou, Weifeng Lv
SLADE: A Smart Large-Scale Task Decomposer in Crowdsourcing. ICDE (2019)
Yansheng Wang, Yongxin Tong, Cheng Long, Pan Xu, Ke Xu, Weifeng Lv
Adaptive Dynamic Bipartite Graph Matching: A Reinforcement Learning Approach. ICDE (2019)
Chen Jason Zhang, Lei Chen, H. V. Jagadish, Mengchen Zhang, Yongxin Tong
Reducing Uncertainty of Schema Matching via Crowdsourcing with Accuracy Rates. CoRR (2018)
Zheng Liu, Lei Chen, Yongxin Tong
Realtime Traffic Speed Estimation with Sparse Crowdsourced Data. ICDE (2018)
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) (2018)
Yongxin Tong, Libin Wang, Zimu Zhou, Lei Chen, Bowen Du, Jieping Ye
Dynamic Pricing in Spatial Crowdsourcing: A Matching-Based Approach. SIGMOD Conference (2018)
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) (2018)
Yuxiang Zeng, Yongxin Tong, Lei Chen, Zimu Zhou
Latency-Oriented Task Completion via Spatial Crowdsourcing. ICDE (2018)
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)
Yongxin Tong, Zimu Zhou
Dynamic task assignment in spatial crowdsourcing. ACM SIGSPATIAL Special 10 (2) (2018)
Bowen Du, Yongxin Tong, Zimu Zhou, Qian Tao, Wenjun Zhou
Demand-Aware Charger Planning for Electric Vehicle Sharing. KDD (2018)
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) (2017)
Yongxin Tong, Lei Chen, Cyrus Shahabi
Spatial Crowdsourcing: Challenges, Techniques, and Applications. Proc. VLDB Endow. 10 (12) (2017)
Rui Meng, Lei Chen, Yongxin Tong, Chen Jason Zhang
Knowledge Base Semantic Integration Using Crowdsourcing. IEEE Trans. Knowl. Data Eng. 29 (5) (2017)
Tianshu Song, Yongxin Tong, Libin Wang, Jieying She, Bin Yao, Lei Chen, Ke Xu
Trichromatic Online Matching in Real-Time Spatial Crowdsourcing. ICDE (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. KDD (2017)
Jieying She, Yongxin Tong, Lei Chen, Tianshu Song
Feedback-Aware Social Event-Participant Arrangement. SIGMOD Conference (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yongxin Tong