Yongxin Tong

Orcid: 0000-0002-5598-0312

Affiliations:
  • Beihang University, Beijing, China


According to our database1, Yongxin Tong authored at least 125 papers between 2009 and 2024.

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Bibliography

2024
Blockchain based federated learning for intrusion detection for Internet of Things.
Frontiers Comput. Sci., October, 2024

An Experimental Study on Federated Equi-Joins.
IEEE Trans. Knowl. Data Eng., September, 2024

Front Matter.
Proc. VLDB Endow., August, 2024

A survey on federated learning: a perspective from multi-party computation.
Frontiers Comput. Sci., June, 2024

Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learning.
CoRR, 2024

FedGTP: Exploiting Inter-Client Spatial Dependency in Federated Graph-based Traffic Prediction.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

CASA: Clustered Federated Learning with Asynchronous Clients.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Graph-constrained diffusion for End-to-End Path Planning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

HeteFedRec: Federated Recommender Systems with Model Heterogeneity.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

MUSE-Net: Disentangling Multi-Periodicity for Traffic Flow Forecasting.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Towards Task-Conflicts Momentum-Calibrated Approach for Multi-task Learning.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
Combinatorial Optimization Meets Reinforcement Learning: Effective Taxi Order Dispatching at Large-Scale.
IEEE Trans. Knowl. Data Eng., October, 2023

Efficient Approximate Range Aggregation Over Large-Scale Spatial Data Federation.
IEEE Trans. Knowl. Data Eng., 2023

LiteHST: A Tree Embedding based Method for Similarity Search.
Proc. ACM Manag. Data, 2023

Preface to the Special Issue on Theories and Technologies for Big Data Governance.
Int. J. Softw. Informatics, 2023

Federated Computing: Query, Learning, and Beyond.
IEEE Data Eng. Bull., 2023

Efficient and Private Federated Trajectory Matching.
CoRR, 2023

SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning.
CoRR, 2023

DM-PFL: Hitchhiking Generic Federated Learning for Efficient Shift-Robust Personalization.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Towards Capacity-Aware Broker Matching: From Recommendation to Assignment.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Distribution-Regularized Federated Learning on Non-IID Data.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Collision-Aware Route Planning in Warehouses Made Efficient: A Strip-based Framework.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Approximate k-Nearest Neighbor Query over Spatial Data Federation.
Proceedings of the Database Systems for Advanced Applications, 2023

2022
Unified Route Planning for Shared Mobility: An Insertion-based Framework.
ACM Trans. Database Syst., 2022

An Efficient Insertion Operator in Dynamic Ridesharing Services.
IEEE Trans. Knowl. Data Eng., 2022

Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation.
IEEE Trans. Knowl. Data Eng., 2022

Preface to Federated Learning: Algorithms, Systems, and Applications: Part 2.
ACM Trans. Intell. Syst. Technol., 2022

Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1.
ACM Trans. Intell. Syst. Technol., 2022

Hu-Fu: Efficient and Secure Spatial Queries over Data Federation.
Proc. VLDB Endow., 2022

Hu-Fu: A Data Federation System for Secure Spatial Queries.
Proc. VLDB Endow., 2022

A Secure Multi-party Data Federation System.
Int. J. Softw. Informatics, 2022

Faster and Better Solution to Embed Lp Metrics by Tree Metrics.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Fed-LTD: Towards Cross-Platform Ride Hailing via Federated Learning to Dispatch.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

p-Meta: Towards On-device Deep Model Adaptation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Efficient Approximate Range Aggregation over Large-scale Spatial Data Federation (Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Adaptive Task Planning for Large-Scale Robotized Warehouses.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Data Source Selection in Federated Learning: A Submodular Optimization Approach.
Proceedings of the Database Systems for Advanced Applications, 2022

2021
Two-Sided Online Micro-Task Assignment in Spatial Crowdsourcing.
IEEE Trans. Knowl. Data Eng., 2021

Industrial Federated Topic Modeling.
ACM Trans. Intell. Syst. Technol., 2021

A GDPR-compliant Ecosystem for Speech Recognition with Transfer, Federated, and Evolutionary Learning.
ACM Trans. Intell. Syst. Technol., 2021

Preface to the Special Issue on Data Management and Analysis Technique Supporting AI.
Int. J. Softw. Informatics, 2021

Federated Topic Discovery: A Semantic Consistent Approach.
IEEE Intell. Syst., 2021

Adaptive Holding for Online Bottleneck Matching with Delays.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

A Differentially Private Task Planning Framework for Spatial Crowdsourcing.
Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021

Engaging Drivers in Ride Hailing via Competition: A Case Study with Arena.
Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021

Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Learning to Assign: Towards Fair Task Assignment in Large-Scale Ride Hailing.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Pruning-Aware Merging for Efficient Multitask Inference.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

HST+: An Efficient Index for Embedding Arbitrary Metric Spaces.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

An Efficient Approach for Cross-Silo Federated Learning to Rank.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Pruning Meta-Trained Networks for On-Device Adaptation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Adaptive Backstepping based Secure Control for P-normal Form of Second-Order Nonlinear Systems Against Deception Attacks.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Efficient and Fair Data Valuation for Horizontal Federated Learning.
Proceedings of the Federated Learning - Privacy and Incentive, 2020

Spatial crowdsourcing: a survey.
VLDB J., 2020

Reducing Uncertainty of Schema Matching via Crowdsourcing with Accuracy Rates.
IEEE Trans. Knowl. Data Eng., 2020

The Simpler The Better: An Indexing Approach for Shared-Route Planning Queries.
Proc. VLDB Endow., 2020

Multi-skill aware task assignment in real-time spatial crowdsourcing.
GeoInformatica, 2020

Two-sided online bipartite matching in spatial data: experiments and analysis.
GeoInformatica, 2020

Federated Learning in the Lens of Crowdsourcing.
IEEE Data Eng. Bull., 2020

Rethinking Pruning for Accelerating Deep Inference At the Edge.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

TopicOcean: An Ever-Increasing Topic Model With Meta-learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Differentially Private Online Task Assignment in Spatial Crowdsourcing: A Tree-based Approach.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Federated Acoustic Model Optimization for Automatic Speech Recognition.
Proceedings of the Database Systems for Advanced Applications, 2020

Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Federated Machine Learning: Concept and Applications.
ACM Trans. Intell. Syst. Technol., 2019

Last-Mile Delivery Made Practical: An Efficient Route Planning Framework with Theoretical Guarantees.
Proc. VLDB Endow., 2019

Interaction Management in Crowdsourcing.
IEEE Data Eng. Bull., 2019

Disentangling Redundancy for Multi-Task Pruning.
CoRR, 2019

Hydra: A Personalized and Context-Aware Multi-Modal Transportation Recommendation System.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Adaptive Dynamic Bipartite Graph Matching: A Reinforcement Learning Approach.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Procrastination-Aware Scheduling: A Bipartite Graph Perspective.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Recommendation-based Team Formation for On-demand Taxi-calling Platforms.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Federated Topic Modeling.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Profit Allocation for Federated Learning.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Preference-Aware Task Assignment in On-Demand Taxi Dispatching: An Online Stable Matching Approach.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

A Unified Approach to Online Matching with Conflict-Aware Constraints.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
SLADE: A Smart Large-Scale Task Decomposer in Crowdsourcing.
IEEE Trans. Knowl. Data Eng., 2018

Dynamic task assignment in spatial crowdsourcing.
ACM SIGSPATIAL Special, 2018

A Unified Approach to Route Planning for Shared Mobility.
Proc. VLDB Endow., 2018

Dynamic Pricing in Spatial Crowdsourcing: A Matching-Based Approach.
Proceedings of the 2018 International Conference on Management of Data, 2018

Demand-Aware Charger Planning for Electric Vehicle Sharing.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Latency-Oriented Task Completion via Spatial Crowdsourcing.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Realtime Traffic Speed Estimation with Sparse Crowdsourced Data.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Multi-Worker-Aware Task Planning in Real-Time Spatial Crowdsourcing.
Proceedings of the Database Systems for Advanced Applications, 2018

2017
Knowledge Base Semantic Integration Using Crowdsourcing.
IEEE Trans. Knowl. Data Eng., 2017

Flexible Online Task Assignment in Real-Time Spatial Data.
Proc. VLDB Endow., 2017

Spatial Crowdsourcing: Challenges, Techniques, and Applications.
Proc. VLDB Endow., 2017

Diversity Regularized Latent Semantic Match for Hashing.
Neurocomputing, 2017

Top-k Team Recommendation and Its Variants in Spatial Crowdsourcing.
Data Sci. Eng., 2017

Feedback-Aware Social Event-Participant Arrangement.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Trichromatic Online Matching in Real-Time Spatial Crowdsourcing.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Team-Oriented Task Planning in Spatial Crowdsourcing.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

2016
Tracking frequent items over distributed probabilistic data.
World Wide Web, 2016

Bottleneck-aware arrangement over event-based social networks: the max-min approach.
World Wide Web, 2016

Cross-Lingual Topic Discovery From Multilingual Search Engine Query Log.
ACM Trans. Inf. Syst., 2016

Conflict-Aware Event-Participant Arrangement and Its Variant for Online Setting.
IEEE Trans. Knowl. Data Eng., 2016

Online Minimum Matching in Real-Time Spatial Data: Experiments and Analysis.
Proc. VLDB Endow., 2016

Adjustable Time-Window-Based Event Detection on Twitter.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

Top-k Team Recommendation in Spatial Crowdsourcing.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

Online mobile Micro-Task Allocation in spatial crowdsourcing.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

2015
Towards Better Understanding of App Functions.
J. Comput. Sci. Technol., 2015

Mining Frequent Itemsets in Correlated Uncertain Databases.
J. Comput. Sci. Technol., 2015

Locality-aware allocation of multi-dimensional correlated files on the cloud platform.
Distributed Parallel Databases, 2015

Utility-Aware Social Event-Participant Planning.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

CrowdTC: Crowdsourced Taxonomy Construction.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Cleaning uncertain data with a noisy crowd.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

On bottleneck-aware arrangement for event-based social networks.
Proceedings of the 31st IEEE International Conference on Data Engineering Workshops, 2015

Conflict-aware event-participant arrangement.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2014
Where To: Crowd-Aided Path Selection.
Proc. VLDB Endow., 2014

gMission: A General Spatial Crowdsourcing Platform.
Proc. VLDB Endow., 2014

TCS: efficient topic discovery over crowd-oriented service data.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

CrowdCleaner: Data cleaning for multi-version data on the web via crowdsourcing.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

MaC: A Probabilistic Framework for Query Answering with Machine-Crowd Collaboration.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Efficient Probabilistic Supergraph Search Over Large Uncertain Graphs.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
WiseMarket: a new paradigm for managing wisdom of online social users.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

EAGRE: Towards scalable I/O efficient SPARQL query evaluation on the cloud.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2012
Mining Frequent Itemsets over Uncertain Databases.
Proc. VLDB Endow., 2012

Whom to Ask? Jury Selection for Decision Making Tasks on Micro-blog Services.
Proc. VLDB Endow., 2012

UFIMT: an uncertain frequent itemset mining toolbox.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Discovering Threshold-based Frequent Closed Itemsets over Probabilistic Data.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

2009
Mining Compressed Repetitive Gapped Sequential Patterns Efficiently
CoRR, 2009

Discovering Compatible Top-K Theme Patterns from Text Based on Users' Preferences.
Proceedings of the Intelligence and Security Informatics, Pacific Asia Workshop, 2009

Mining Compressed Repetitive Gapped Sequential Patterns Efficiently.
Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009


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