Mining Compressed Repetitive Gapped Sequential Patterns Efficiently. - Yongxin Tong; Zhao Li; Dan Yu; Shilong Ma; Zhiyuan Cheng 004; Ke Xu 001 (ADMA, 2009)

Discovering Compatible Top-K Theme Patterns from Text Based on Users' Preferences. - Yongxin Tong; Shilong Ma; Dan Yu; Yuanyuan Zhang 013; Zhao Li; Ke Xu 001 (PAISI, 2009)

Mining Compressed Repetitive Gapped Sequential Patterns Efficiently - Yongxin Tong; Zhao Li; Dan Yu; Shilong Ma; Ke Xu 001 (CoRR, 2009)

Discovering Threshold-based Frequent Closed Itemsets over Probabilistic Data. - Yongxin Tong; Lei Chen 002; Bolin Ding (ICDE, 2012)

UFIMT: an uncertain frequent itemset mining toolbox. - Yongxin Tong; Lei Chen 002; Philip S. Yu (KDD, 2012)

Whom to Ask? Jury Selection for Decision Making Tasks on Micro-blog Services. - Caleb Chen Cao; Jieying She; Yongxin Tong; Lei Chen 002 (Proc. VLDB Endow., 2012)

Mining Frequent Itemsets over Uncertain Databases. - Yongxin Tong; Lei Chen 002; Yurong Cheng; Philip S. Yu (Proc. VLDB Endow., 2012)

EAGRE: Towards scalable I/O efficient SPARQL query evaluation on the cloud. - Xiaofei Zhang 002; Lei Chen 002; Yongxin Tong; Min Wang 001 (ICDE, 2013)

WiseMarket: a new paradigm for managing wisdom of online social users. - Caleb Chen Cao; Yongxin Tong; Lei Chen 002; H. V. Jagadish (KDD, 2013)

Efficient Probabilistic Supergraph Search Over Large Uncertain Graphs. - Yongxin Tong; Xiaofei Zhang 002; Caleb Chen Cao; Lei Chen 002 (CIKM, 2014)

MaC: A Probabilistic Framework for Query Answering with Machine-Crowd Collaboration. - Chen Jason Zhang; Lei Chen 002; Yongxin Tong (CIKM, 2014)

CrowdCleaner: Data cleaning for multi-version data on the web via crowdsourcing. - Yongxin Tong; Caleb Chen Cao; Chen Jason Zhang; Yatao Li; Lei Chen 002 (ICDE, 2014)

TCS: efficient topic discovery over crowd-oriented service data. - Yongxin Tong; Caleb Chen Cao; Lei Chen 002 (KDD, 2014)

gMission: A General Spatial Crowdsourcing Platform. - Zhao Chen 003; Rui Fu; Ziyuan Zhao; Zheng Liu 011; Leihao Xia; Lei Chen 002; Peng Cheng 003; Caleb Chen Cao; Yongxin Tong; Chen Jason Zhang (Proc. VLDB Endow., 2014)

Where To: Crowd-Aided Path Selection. - Chen Jason Zhang; Yongxin Tong; Lei Chen 002 (Proc. VLDB Endow., 2014)

Conflict-aware event-participant arrangement. - Jieying She; Yongxin Tong; Lei Chen 002; Caleb Chen Cao (ICDE, 2015)

On bottleneck-aware arrangement for event-based social networks. - Yongxin Tong; Rui Meng; Jieying She (ICDE Workshops, 2015)

Cleaning uncertain data with a noisy crowd. - Chen Jason Zhang; Lei Chen 002; Yongxin Tong; Zheng Liu 011 (ICDE, 2015)

CrowdTC: Crowdsourced Taxonomy Construction. - Rui Meng; Yongxin Tong; Lei Chen 002; Caleb Chen Cao (ICDM, 2015)

Utility-Aware Social Event-Participant Planning. - Jieying She; Yongxin Tong; Lei Chen 002 (SIGMOD Conference, 2015)

Locality-aware allocation of multi-dimensional correlated files on the cloud platform. - Xiaofei Zhang 002; Yongxin Tong; Lei Chen 002; Min Wang 001; Shicong Feng (Distributed Parallel Databases, 2015)

Mining Frequent Itemsets in Correlated Uncertain Databases. - Yongxin Tong; Lei Chen 002; Jieying She (J. Comput. Sci. Technol., 2015)

Towards Better Understanding of App Functions. - Yongxin Tong; Jieying She; Lei Chen 002 (J. Comput. Sci. Technol., 2015)

Online mobile Micro-Task Allocation in spatial crowdsourcing. - Yongxin Tong; Jieying She; Bolin Ding; Libin Wang 001; Lei Chen 002 (ICDE, 2016)

Top-k Team Recommendation in Spatial Crowdsourcing. - Dawei Gao; Yongxin Tong; Jieying She; Tianshu Song; Lei Chen 002; Ke Xu 001 (WAIM (1), 2016)

Adjustable Time-Window-Based Event Detection on Twitter. - Qinyi Wang; Jieying She; Tianshu Song; Yongxin Tong; Lei Chen 002; Ke Xu 001 (WAIM (2), 2016)

Online Minimum Matching in Real-Time Spatial Data: Experiments and Analysis. - Yongxin Tong; Jieying She; Bolin Ding; Lei Chen 002; Tianyu Wo; Ke Xu 001 (Proc. VLDB Endow., 2016)

Conflict-Aware Event-Participant Arrangement and Its Variant for Online Setting. - Jieying She; Yongxin Tong; Lei Chen 002; Caleb Chen Cao (IEEE Trans. Knowl. Data Eng., 2016)

Cross-Lingual Topic Discovery From Multilingual Search Engine Query Log. - Di Jiang; Yongxin Tong; Yuanfeng Song (ACM Trans. Inf. Syst., 2016)

Bottleneck-aware arrangement over event-based social networks: the max-min approach. - Yongxin Tong; Jieying She; Rui Meng (World Wide Web, 2016)

Tracking frequent items over distributed probabilistic data. - Yongxin Tong; Xiaofei Zhang 002; Lei Chen 002 (World Wide Web, 2016)

Team-Oriented Task Planning in Spatial Crowdsourcing. - Dawei Gao; Yongxin Tong; Yudian Ji; Ke Xu 001 (APWeb/WAIM (1), 2017)

Trichromatic Online Matching in Real-Time Spatial Crowdsourcing. - Tianshu Song; Yongxin Tong; Libin Wang 001; Jieying She; Bin Yao 002; Lei Chen 002; Ke Xu 001 (ICDE, 2017)

The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms. - Yongxin Tong; Yuqiang Chen; Zimu Zhou; Lei Chen 002; Jie Wang 005; Qiang Yang 001; Jieping Ye; Weifeng Lv (KDD, 2017)

Feedback-Aware Social Event-Participant Arrangement. - Jieying She; Yongxin Tong; Lei Chen 002; Tianshu Song (SIGMOD Conference, 2017)

Top-k Team Recommendation and Its Variants in Spatial Crowdsourcing. - Dawei Gao; Yongxin Tong; Jieying She; Tianshu Song; Lei Chen 002; Ke Xu 001 (Data Sci. Eng., 2017)

Diversity Regularized Latent Semantic Match for Hashing. - Yong Chen 008; Hui Zhang 028; Yongxin Tong; Ming Lu (Neurocomputing, 2017)

Spatial Crowdsourcing: Challenges, Techniques, and Applications. - Yongxin Tong; Lei Chen 002; Cyrus Shahabi (Proc. VLDB Endow., 2017)

Flexible Online Task Assignment in Real-Time Spatial Data. - Yongxin Tong; Libin Wang 001; Zimu Zhou; Bolin Ding; Lei Chen 002; Jieping Ye; Ke Xu 001 (Proc. VLDB Endow., 2017)

Knowledge Base Semantic Integration Using Crowdsourcing. - Rui Meng; Lei Chen 002; Yongxin Tong; Chen Jason Zhang (IEEE Trans. Knowl. Data Eng., 2017)

Multi-Worker-Aware Task Planning in Real-Time Spatial Crowdsourcing. - Qian Tao; Yuxiang Zeng; Zimu Zhou; Yongxin Tong; Lei Chen 002; Ke Xu 001 (DASFAA (2), 2018)

Realtime Traffic Speed Estimation with Sparse Crowdsourced Data. - Zheng Liu 011; Lei Chen 002; Yongxin Tong (ICDE, 2018)

Latency-Oriented Task Completion via Spatial Crowdsourcing. - Yuxiang Zeng; Yongxin Tong; Lei Chen 002; Zimu Zhou (ICDE, 2018)

Demand-Aware Charger Planning for Electric Vehicle Sharing. - Bowen Du 001; Yongxin Tong; Zimu Zhou; Qian Tao; Wenjun Zhou 001 (KDD, 2018)

Dynamic Pricing in Spatial Crowdsourcing: A Matching-Based Approach. - Yongxin Tong; Libin Wang 001; Zimu Zhou; Lei Chen 002; Bowen Du 001; Jieping Ye (SIGMOD Conference, 2018)

A Unified Approach to Route Planning for Shared Mobility. - Yongxin Tong; Yuxiang Zeng; Zimu Zhou; Lei Chen 002; Jieping Ye; Ke Xu 001 (Proc. VLDB Endow., 2018)

Dynamic task assignment in spatial crowdsourcing. - Yongxin Tong; Zimu Zhou (ACM SIGSPATIAL Special, 2018)

SLADE: A Smart Large-Scale Task Decomposer in Crowdsourcing. - Yongxin Tong; Lei Chen 002; Zimu Zhou; H. V. Jagadish; Lidan Shou; Weifeng Lv (IEEE Trans. Knowl. Data Eng., 2018)

A Unified Approach to Online Matching with Conflict-Aware Constraints. - Pan Xu 001; Yexuan Shi; Hao Cheng; John P. Dickerson; Karthik Abinav Sankararaman; Aravind Srinivasan; Yongxin Tong; Leonidas Tsepenekas (AAAI, 2019)

Preference-Aware Task Assignment in On-Demand Taxi Dispatching: An Online Stable Matching Approach. - Boming Zhao; Pan Xu 001; Yexuan Shi; Yongxin Tong; Zimu Zhou; Yuxiang Zeng (AAAI, 2019)

Profit Allocation for Federated Learning. - Tianshu Song; Yongxin Tong; Shuyue Wei (IEEE BigData, 2019)

Federated Topic Modeling. - Di Jiang; Yuanfeng Song; Yongxin Tong; Xueyang Wu 001; Weiwei Zhao; Qian Xu 005; Qiang Yang 001 (CIKM, 2019)

Recommendation-based Team Formation for On-demand Taxi-calling Platforms. - Lingyu Zhang 001; Tianshu Song; Yongxin Tong; Zimu Zhou; Dan Li; Wei Ai 002; Lulu Zhang; Guobin Wu 001; Yan Liu 002; Jieping Ye (CIKM, 2019)

Procrastination-Aware Scheduling: A Bipartite Graph Perspective. - Libin Wang 001; Yongxin Tong; Chunming Hu; Lei Chen 002; Yiming Li (ICDE, 2019)

Adaptive Dynamic Bipartite Graph Matching: A Reinforcement Learning Approach. - Yansheng Wang; Yongxin Tong; Cheng Long 001; Pan Xu 001; Ke Xu 001; Weifeng Lv (ICDE, 2019)

Hydra: A Personalized and Context-Aware Multi-Modal Transportation Recommendation System. - Hao Liu 026; Yongxin Tong; Panpan Zhang; Xinjiang Lu; Jianguo Duan; Hui Xiong 001 (KDD, 2019)

Disentangling Redundancy for Multi-Task Pruning. - Xiaoxi He; Dawei Gao; Zimu Zhou; Yongxin Tong; Lothar Thiele (CoRR, 2019)

Interaction Management in Crowdsourcing. - Yansheng Wang; Tianshu Song; Qian Tao; Yuxiang Zeng; Zimu Zhou; Yi Xu 013; Yongxin Tong; Lei Chen 002 (IEEE Data Eng. Bull., 2019)

Last-Mile Delivery Made Practical: An Efficient Route Planning Framework with Theoretical Guarantees. - Yuxiang Zeng; Yongxin Tong; Lei Chen 002 (Proc. VLDB Endow., 2019)

Federated Machine Learning: Concept and Applications. - Qiang Yang 001; Yang Liu 165; Tianjian Chen; Yongxin Tong (ACM Trans. Intell. Syst. Technol., 2019)

Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework. - Yansheng Wang; Yongxin Tong; Dingyuan Shi (AAAI, 2020)

Federated Acoustic Model Optimization for Automatic Speech Recognition. - Conghui Tan; Di Jiang; Huaxiao Mo; Jinhua Peng; Yongxin Tong; Weiwei Zhao; Chaotao Chen; Rongzhong Lian; Yuanfeng Song; Qian Xu 005 (DASFAA (3), 2020)

Differentially Private Online Task Assignment in Spatial Crowdsourcing: A Tree-based Approach. - Qian Tao; Yongxin Tong; Zimu Zhou; Yexuan Shi; Lei Chen 002; Ke Xu 001 (ICDE, 2020)

TopicOcean: An Ever-Increasing Topic Model With Meta-learning. - Yuanfeng Song; Yongxin Tong; Siqi Bao; Di Jiang; Hua Wu 003; Raymond Chi-Wing Wong (ICDM, 2020)

Rethinking Pruning for Accelerating Deep Inference At the Edge. - Dawei Gao; Xiaoxi He; Zimu Zhou; Yongxin Tong; Ke Xu 001; Lothar Thiele (KDD, 2020)

Federated Learning in the Lens of Crowdsourcing. - Yongxin Tong; Yansheng Wang; Dingyuan Shi (IEEE Data Eng. Bull., 2020)

Two-sided online bipartite matching in spatial data: experiments and analysis. - Yiming Li; Jingzhi Fang; Yuxiang Zeng; Balz Maag; Yongxin Tong; Lingyu Zhang 001 (GeoInformatica, 2020)

Multi-skill aware task assignment in real-time spatial crowdsourcing. - Tianshu Song; Ke Xu 001; Jiangneng Li; Yiming Li; Yongxin Tong (GeoInformatica, 2020)

The Simpler The Better: An Indexing Approach for Shared-Route Planning Queries. - Yuxiang Zeng; Yongxin Tong; Yuguang Song; Lei Chen 002 (Proc. VLDB Endow., 2020)

Reducing Uncertainty of Schema Matching via Crowdsourcing with Accuracy Rates. - Chen Jason Zhang; Lei Chen 002; H. V. Jagadish; Mengchen Zhang 003; Yongxin Tong (IEEE Trans. Knowl. Data Eng., 2020)

Spatial crowdsourcing: a survey. - Yongxin Tong; Zimu Zhou; Yuxiang Zeng; Lei Chen 002; Cyrus Shahabi (VLDB J., 2020)

Efficient and Fair Data Valuation for Horizontal Federated Learning. - Shuyue Wei; Yongxin Tong; Zimu Zhou; Tianshu Song (Federated Learning, 2020)

Adaptive Backstepping based Secure Control for P-normal Form of Second-Order Nonlinear Systems Against Deception Attacks. - Mengze Yu; Wei Wang 016; Jing Zhou 002; Yongxin Tong (CDC, 2021)

Pruning Meta-Trained Networks for On-Device Adaptation. - Dawei Gao; Xiaoxi He; Zimu Zhou; Yongxin Tong; Lothar Thiele (CIKM, 2021)

An Efficient Approach for Cross-Silo Federated Learning to Rank. - Yansheng Wang; Yongxin Tong; Dingyuan Shi; Ke Xu 001 (ICDE, 2021)

HST+: An Efficient Index for Embedding Arbitrary Metric Spaces. - Yuxiang Zeng; Yongxin Tong; Lei Chen 002 (ICDE, 2021)

Pruning-Aware Merging for Efficient Multitask Inference. - Xiaoxi He; Dawei Gao; Zimu Zhou; Yongxin Tong; Lothar Thiele (KDD, 2021)

Learning to Assign: Towards Fair Task Assignment in Large-Scale Ride Hailing. - Dingyuan Shi; Yongxin Tong; Zimu Zhou; Bingchen Song; Weifeng Lv; Qiang Yang 001 (KDD, 2021)

Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms. - Xiaocheng Tang; Fan Zhang 098; Zhiwei (Tony) Qin; Yansheng Wang; Dingyuan Shi; Bingchen Song; Yongxin Tong; Hongtu Zhu; Jieping Ye (KDD, 2021)

Engaging Drivers in Ride Hailing via Competition: A Case Study with Arena. - Hao Cheng; Shuyue Wei; Lingyu Zhang 001; Zimu Zhou; Yongxin Tong (MDM, 2021)

A Differentially Private Task Planning Framework for Spatial Crowdsourcing. - Qian Tao; Yongxin Tong; Shuyuan Li; Yuxiang Zeng; Zimu Zhou; Ke Xu 001 (MDM, 2021)

Adaptive Holding for Online Bottleneck Matching with Delays. - Kaixin Wang; Cheng Long 001; Yongxin Tong; Jie Zhang 002; Yi Xu 013 (SDM, 2021)

Federated Topic Discovery: A Semantic Consistent Approach. - Yexuan Shi; Yongxin Tong; Zhiyang Su; Di Jiang; Zimu Zhou; Wenbin Zhang (IEEE Intell. Syst., 2021)

Preface to the Special Issue on Data Management and Analysis Technique Supporting AI. - Lei Chen 002; Hongzhi Wang; Yongxin Tong; Hong Gao (Int. J. Softw. Informatics, 2021)

A GDPR-compliant Ecosystem for Speech Recognition with Transfer, Federated, and Evolutionary Learning. - Di Jiang; Conghui Tan; Jinhua Peng; Chaotao Chen; Xueyang Wu 001; Weiwei Zhao; Yuanfeng Song; Yongxin Tong; Chang Liu 069; Qian Xu 005; Qiang Yang 001; Li Deng (ACM Trans. Intell. Syst. Technol., 2021)

Industrial Federated Topic Modeling. - Di Jiang; Yongxin Tong; Yuanfeng Song; Xueyang Wu 001; Weiwei Zhao; Jinhua Peng; Rongzhong Lian; Qian Xu 005; Qiang Yang 001 (ACM Trans. Intell. Syst. Technol., 2021)

Two-Sided Online Micro-Task Assignment in Spatial Crowdsourcing. - Yongxin Tong; Yuxiang Zeng; Bolin Ding; Libin Wang 001; Lei Chen 002 (IEEE Trans. Knowl. Data Eng., 2021)

Data Source Selection in Federated Learning: A Submodular Optimization Approach. - Ruisheng Zhang; Yansheng Wang; Zimu Zhou; Ziyao Ren; Yongxin Tong; Ke Xu 001 (DASFAA (2), 2022)

Adaptive Task Planning for Large-Scale Robotized Warehouses. - Dingyuan Shi; Yongxin Tong; Zimu Zhou; Ke Xu 001; Wenzhe Tan; Hongbo Li 001 (ICDE, 2022)

Efficient Approximate Range Aggregation over Large-scale Spatial Data Federation (Extended Abstract). - Yexuan Shi; Yongxin Tong; Yuxiang Zeng; Zimu Zhou; Bolin Ding; Lei Chen 002 (ICDE, 2022)

p-Meta: Towards On-device Deep Model Adaptation. - Zhongnan Qu; Zimu Zhou; Yongxin Tong; Lothar Thiele (KDD, 2022)

Fed-LTD: Towards Cross-Platform Ride Hailing via Federated Learning to Dispatch. - Yansheng Wang; Yongxin Tong; Zimu Zhou; Ziyao Ren; Yi Xu 013; Guobin Wu 001; Weifeng Lv (KDD, 2022)

Faster and Better Solution to Embed Lp Metrics by Tree Metrics. - Yuxiang Zeng; Yongxin Tong; Lei Chen 002 (SIGMOD Conference, 2022)

A Secure Multi-party Data Federation System. - Shuyuan Li; Yudian Ji; Dingyuan Shi; Wangdong Liao; Lipeng Zhang; Yongxin Tong; Ke Xu 001 (Int. J. Softw. Informatics, 2022)

Hu-Fu: A Data Federation System for Secure Spatial Queries. - Xuchen Pan; Yongxin Tong; Chunbo Xue; Zimu Zhou; Junping Du 001; Yuxiang Zeng; Yexuan Shi; Xiaofei Zhang 002; Lei Chen 002; Yi Xu 013; Ke Xu 001; Weifeng Lv (Proc. VLDB Endow., 2022)

Hu-Fu: Efficient and Secure Spatial Queries over Data Federation. - Yongxin Tong; Xuchen Pan; Yuxiang Zeng; Yexuan Shi; Chunbo Xue; Zimu Zhou; Xiaofei Zhang 002; Lei Chen 002; Yi Xu 013; Ke Xu 001; Weifeng Lv (Proc. VLDB Endow., 2022)

Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1. - Qiang Yang 001; Yongxin Tong; Yang Liu 165; Yangqiu Song; Hao Peng 001; Boi Faltings (ACM Trans. Intell. Syst. Technol., 2022)

Preface to Federated Learning: Algorithms, Systems, and Applications: Part 2. - Qiang Yang 001; Yongxin Tong; Yang Liu 165; Yangqiu Song; Hao Peng 001; Boi Faltings (ACM Trans. Intell. Syst. Technol., 2022)

Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation. - Hao Liu 026; Yongxin Tong; Jindong Han; Panpan Zhang; Xinjiang Lu; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2022)

An Efficient Insertion Operator in Dynamic Ridesharing Services. - Yi Xu 013; Yongxin Tong; Yexuan Shi; Qian Tao; Ke Xu 001; Wei Li 022 (IEEE Trans. Knowl. Data Eng., 2022)

Unified Route Planning for Shared Mobility: An Insertion-based Framework. - Yongxin Tong; Yuxiang Zeng; Zimu Zhou; Lei Chen 002; Ke Xu 001 (ACM Trans. Database Syst., 2022)

Approximate k-Nearest Neighbor Query over Spatial Data Federation. - Kaining Zhang; Yongxin Tong; Yexuan Shi; Yuxiang Zeng; Yi Xu 013; Lei Chen 002; Zimu Zhou; Ke Xu 001; Weifeng Lv; Zhiming Zheng 001 (DASFAA (1), 2023)

Collision-Aware Route Planning in Warehouses Made Efficient: A Strip-based Framework. - Dingyuan Shi; Nan Zhou; Yongxin Tong; Zimu Zhou; Yi Xu 013; Ke Xu 001 (ICDE, 2023)

Distribution-Regularized Federated Learning on Non-IID Data. - Yansheng Wang; Yongxin Tong; Zimu Zhou; Ruisheng Zhang; Sinno Jialin Pan; Lixin Fan; Qiang Yang 001 (ICDE, 2023)

Towards Capacity-Aware Broker Matching: From Recommendation to Assignment. - Shuyue Wei; Yongxin Tong; Zimu Zhou; Qiaoyang Liu; Lulu Zhang; Yuxiang Zeng; Jieping Ye (ICDE, 2023)

A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management. - Liyue Chen; Jiangyi Fang; Zhe Yu 001; Yongxin Tong; Shaosheng Cao; Leye Wang (KDD, 2023)

DM-PFL: Hitchhiking Generic Federated Learning for Efficient Shift-Robust Personalization. - Wenhao Zhang; Zimu Zhou; Yansheng Wang; Yongxin Tong (KDD, 2023)

SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning. - Ziyao Ren; Yan Kang 001; Lixin Fan; Linghua Yang; Tao Fan 002; Yongxin Tong; Qiang Yang 001 (CoRR, 2023)

Efficient and Private Federated Trajectory Matching. - Yuxiang Wang; Yuxiang Zeng; Yi Xu 013; Zimu Zhou; Yongxin Tong (CoRR, 2023)

Federated Computing: Query, Learning, and Beyond. - Yongxin Tong; Yuxiang Zeng; Zimu Zhou; Boyi Liu 002; Yexuan Shi; Shuyuan Li; Ke Xu 001; Weifeng Lv (IEEE Data Eng. Bull., 2023)

Preface to the Special Issue on Theories and Technologies for Big Data Governance. - Xiaoyong Du; Xiaochun Yang; Yongxin Tong (Int. J. Softw. Informatics, 2023)

LiteHST: A Tree Embedding based Method for Similarity Search. - Yuxiang Zeng; Yongxin Tong; Lei Chen 002 (Proc. ACM Manag. Data, 2023)

Efficient Approximate Range Aggregation Over Large-Scale Spatial Data Federation. - Yexuan Shi; Yongxin Tong; Yuxiang Zeng; Zimu Zhou; Bolin Ding; Lei Chen 002 (IEEE Trans. Knowl. Data Eng., 2023)

Combinatorial Optimization Meets Reinforcement Learning: Effective Taxi Order Dispatching at Large-Scale. - Yongxin Tong; Dingyuan Shi; Yi Xu 013; Weifeng Lv; Zhiwei Qin 001; Xiaocheng Tang (IEEE Trans. Knowl. Data Eng., 2023)

Towards Task-Conflicts Momentum-Calibrated Approach for Multi-task Learning. - Heyan Chai 001; Zeyu Liu; Yongxin Tong; Ziyi Yao; Binxing Fang; Qing Liao 001 (ICDE, 2024)

MUSE-Net: Disentangling Multi-Periodicity for Traffic Flow Forecasting. - Jianyang Qin; Yan Jia 001; Yongxin Tong; Heyan Chai 001; Ye Ding 002; Xuan Wang 002; Binxing Fang; Qing Liao 001 (ICDE, 2024)

HeteFedRec: Federated Recommender Systems with Model Heterogeneity. - Wei Yuan 003; Liang Qu; Lizhen Cui; Yongxin Tong; Xiaofang Zhou 001; Hongzhi Yin (ICDE, 2024)

Traffic Pattern Sharing for Federated Traffic Flow Prediction with Personalization. - Hang Zhou; Wentao Yu; Sheng Wan; Yongxin Tong; Tianlong Gu; Chen Gong 002 (ICDM, 2024)

Graph-constrained diffusion for End-to-End Path Planning. - Dingyuan Shi; Yongxin Tong; Zimu Zhou; Ke Xu 001; Zheng Wang; Jieping Ye (ICLR, 2024)

CASA: Clustered Federated Learning with Asynchronous Clients. - Boyi Liu 002; Yiming Ma 005; Zimu Zhou; Yexuan Shi; Shuyuan Li; Yongxin Tong (KDD, 2024)

FedGTP: Exploiting Inter-Client Spatial Dependency in Federated Graph-based Traffic Prediction. - Linghua Yang; Wantong Chen; Xiaoxi He; Shuyue Wei; Yi Xu 013; Zimu Zhou; Yongxin Tong (KDD, 2024)

Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learning. - Yan Kang 001; Ziyao Ren; Lixin Fan; Linghua Yang; Yongxin Tong; Qiang Yang 001 (CoRR, 2024)

eXpath: Explaining Knowledge Graph Link Prediction with Ontological Closed Path Rules. - Ye Sun; Lei Shi; Yongxin Tong (CoRR, 2024)

A survey on federated learning: a perspective from multi-party computation. - Fengxia Liu; Zhiming Zheng 001; Yexuan Shi; Yongxin Tong; Yi Zhang (Frontiers Comput. Sci., 2024)

Front Matter. - Meihui Zhang 001; Cyrus Shahabi; Ju Fan; Yang Cao 011; Xiaoou Ding; Divesh Srivastava; Nesime Tatbul; Sihem Amer-Yahia; Yongxin Tong; Yuncheng Wu; Li Xiong 001; Torsten Grust; et al. (Proc. VLDB Endow., 2024)

An Experimental Study on Federated Equi-Joins. - Shuyuan Li; Yuxiang Zeng; Yuxiang Wang; Yiman Zhong; Zimu Zhou; Yongxin Tong (IEEE Trans. Knowl. Data Eng., 2024)

Blockchain based federated learning for intrusion detection for Internet of Things. - Nan Sun; Wei Wang 016; Yongxin Tong; Kexin Liu (Frontiers Comput. Sci., 2024)

Efficient and Private Federated Trajectory Matching. - Yuxiang Wang; Yuxiang Zeng; Shuyuan Li; Yuanyuan Zhang 013; Zimu Zhou; Yongxin Tong (IEEE Trans. Knowl. Data Eng., 2024)

Modeling Inter-Intra Heterogeneity for Graph Federated Learning. - Wentao Yu; Shuo Chen 003; Yongxin Tong; Tianlong Gu; Chen Gong 002 (AAAI, 2025)

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering. - Yiming Niu; Jinliang Deng; Lulu Zhang; Zimu Zhou; Yongxin Tong (ICDE, 2025)

Timestamp Approximate Nearest Neighbor Search Over High-Dimensional Vector Data. - Yuxiang Wang; Ziyuan He; Yongxin Tong; Zimu Zhou; Yiman Zhong (ICDE, 2025)

Efficient Data Valuation Approximation in Federated Learning: A Sampling-Based Approach. - Shuyue Wei; Yongxin Tong; Zimu Zhou; Tianran He; Yi Xu 013 (ICDE, 2025)

Understanding and Mitigating the High Computational Cost in Path Data Diffusion. - Dingyuan Shi; Lulu Zhang; Yongxin Tong; Ke Xu 001 (CoRR, 2025)

FineFilter: A Fine-grained Noise Filtering Mechanism for Retrieval-Augmented Large Language Models. - Qianchi Zhang; Hainan Zhang; Liang Pang; Hongwei Zheng 007; Yongxin Tong; Zhiming Zheng 001 (CoRR, 2025)

Hu-Fu: efficient and secure spatial queries over data federation. - Yongxin Tong; Yuxiang Zeng; Yang Song; Xuchen Pan; Zeheng Fan; Chunbo Xue; Zimu Zhou; Xiaofei Zhang 002; Lei Chen 002; Yi Xu 013; Ke Xu 001; Weifeng Lv (VLDB J., 2025)

Learning to Erase Private Knowledge from Multi-Documents for Retrieval-Augmented Large Language Models. - Yujing Wang; Hainan Zhang; Liang Pang; Yongxin Tong; Binghui Guo; Hongwei Zheng 007; Zhiming Zheng 001 (CoRR, 2025)

NALSpatial: A Natural Language Interface for Spatial Databases. - Mengyi Liu; Xieyang Wang; Jianqiu Xu; Hua Lu 001; Yongxin Tong (IEEE Trans. Knowl. Data Eng., 2025)

A Federated Splitting Framework for LLMs: Security, Efficiency, and Adaptability. - Zishuai Zhang; Hainan Zhang; Jiaying Zheng; Ziwei Wang; Yongxin Tong; Jin Dong; Zhiming Zheng 001 (CoRR, 2025)

FedTPS: traffic pattern sharing for personalized federated traffic flow prediction. - Hang Zhou; Wentao Yu; Sheng Wan; Yongxin Tong; Tianlong Gu; Chen Gong 002 (Knowl. Inf. Syst., 2025)

Ten Challenging Problems in Federated Foundation Models. - Tao Fan 002; Hanlin Gu; Xuemei Cao 001; Chee Seng Chan; Qian Chen; Yiqiang Chen 001; Yihui Feng; Yang Gu 001; Jiaxiang Geng; Bing Luo; Shuoling Liu; WinKent Ong; et al. (IEEE Trans. Knowl. Data Eng., 2025)

Federated reasoning LLMs: a survey. - Shuyue Wei; Yongxin Tong; Zimu Zhou; Yi Xu 013; Jingkai Gao; Tongyu Wei; Tianran He; Weifeng Lv (Frontiers Comput. Sci., 2025)