Yongxin Tong

189 papers A* 54A 6B 2C 1Journal 96Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
CAFEDistill: Learning Personalized and Dynamic Models through Federated Early-Exit Network Distillation.
CoRR
Boyi Liu, Zimu Zhou, Yongxin Tong
2026 J jnl
Data quality matters: towards trajectory data collection under local differential privacy.
Frontiers Comput. Sci.
Hao Zhou, Yexuan Shi, Yuxiang Zeng, Yongxin Tong
2026 J jnl
Efficient shapley-based data valuation for federated trajectories.
Frontiers Comput. Sci.
Yuxiang Wang, Shuyuan Li, Yongxin Tong, Shuyue Wei, Zimu Zhou
2026 J jnl
ExpressMind: A Multimodal Pretrained Large Language Model for Expressway Operation.
CoRR
Zihe Wang, Yihuan Wang, Haiyang Yu. Zhiyong Cui, Xiaojian Liao, Chengcheng Wang, Yonglin Tian, Yongxin Tong
2026 J jnl
FGIM: a Fast Graph-based Indexes Merging Framework for Approximate Nearest Neighbor Search.
CoRR
Zekai Wu, Jiabao Jin, Peng Cheng, Xiaoyao Zhong, Lei Chen, Yongxin Tong, Zhitao Shen, Jingkuan Song, Heng Tao Shen, Xuemin Lin
2026 J jnl
FedMosaic: Federated Retrieval-Augmented Generation via Parametric Adapters.
CoRR
Zhilin Liang, Yuxiang Wang, Zimu Zhou, Hainan Zhang, Boyi Liu, Yongxin Tong
2026 A* conf
FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models.
AAAI
Zishuai Zhang, Hainan Zhang, Weihua Li, Qinnan Zhang, Jin Dong, Yongxin Tong, Zhiming Zheng
2026 J jnl
GraphDLG: Exploring Deep Leakage from Gradients in Federated Graph Learning.
CoRR
Shuyue Wei, Wantong Chen, Tongyu Wei, Chen Gong, Yongxin Tong, Lizhen Cui
2026 J jnl
HyIE: An internal-external induced embedding for knowledge hypergraph link prediction.
Inf. Fusion
Linlin Ding, Yinghao Gu, Mo Li, Yishan Pan, Xiaoyang Wang, Ningning Cui, Xin Wang, Yongxin Tong
2026 A* conf
Less is More: Compact Clue Selection for Efficient Retrieval-Augmented Generation Reasoning.
WWW
Qianchi Zhang, Hainan Zhang, Liang Pang, Yongxin Tong, Hongwei Zheng, Zhiming Zheng
2025 J jnl
A Federated Splitting Framework for LLMs: Security, Efficiency, and Adaptability.
CoRR
Zishuai Zhang, Hainan Zhang, Jiaying Zheng, Ziwei Wang, Yongxin Tong, Jin Dong, Zhiming Zheng
2025 A* conf
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering.
ICDE
Yiming Niu, Jinliang Deng, Lulu Zhang, Zimu Zhou, Yongxin Tong
2025 J jnl
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering.
CoRR
Yiming Niu, Jinliang Deng, Lulu Zhang, Zimu Zhou, Yongxin Tong
2025 J jnl
Can Synthetic Query Rewrites Capture User Intent Better than Humans in Retrieval-Augmented Generation?
CoRR
Jiaying Zheng, Hainan Zhang, Liang Pang, Yongxin Tong, Zhiming Zheng
2025 J jnl
DA-PFL: Dynamic Affinity Aggregation in Personalized Federated Learning Under Class Imbalance.
IEEE Trans. Neural Networks Learn. Syst.
Xu Yang, Jiyuan Feng, Yongxin Tong, Lingzhi Wang, Songyue Guo, Binxing Fang, Qing Liao
2025 — conf
DarkDistill: Difficulty-Aligned Federated Early-Exit Network Training on Heterogeneous Devices.
KDD (2)
Lehao Qu, Shuyuan Li, Zimu Zhou, Boyi Liu, Yi Xu, Yongxin Tong
2025 — ed.
Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part II
DASFAA (2)
Makoto Onizuka, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu
2025 — ed.
Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part III
DASFAA (3)
Makoto Onizuka, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu
2025 A* conf
Efficient Data Valuation Approximation in Federated Learning: A Sampling-Based Approach.
ICDE
Shuyue Wei, Yongxin Tong, Zimu Zhou, Tianran He, Yi Xu
2025 J jnl
Efficient Data Valuation Approximation in Federated Learning: A Sampling-based Approach.
CoRR
Shuyue Wei, Yongxin Tong, Zimu Zhou, Tianran He, Yi Xu
2025 — conf
FedMetro: Efficient Metro Passenger Flow Prediction via Federated Graph Learning.
KDD (2)
Tianlong Zhang, Xiaoxi He, Yuxiang Wang, Yi Xu, Rendi Wu, Zhifei Wang, Yongxin Tong
2025 J jnl
FedTPS: traffic pattern sharing for personalized federated traffic flow prediction.
Knowl. Inf. Syst.
Hang Zhou, Wentao Yu, Sheng Wan, Yongxin Tong, Tianlong Gu, Chen Gong
2025 — conf
FedVS: Towards Federated Vector Similarity Search with Filters.
KDD (2)
Zeheng Fan, Yuxiang Zeng, Zhuanglin Zheng, Binhan Yang, Yongxin Tong
2025 J jnl
FedVSE: A Privacy-Preserving and Efficient Vector Search Engine for Federated Databases.
Proc. VLDB Endow.
Zeheng Fan, Yuxiang Zeng, Zhuanglin Zheng, Yongxin Tong
2025 J jnl
Federated reasoning LLMs: a survey.
Frontiers Comput. Sci.
Shuyue Wei, Yongxin Tong, Zimu Zhou, Yi Xu, Jingkai Gao, Tongyu Wei, Tianran He, Weifeng Lv
2025 J jnl
FineFilter: A Fine-grained Noise Filtering Mechanism for Retrieval-Augmented Large Language Models.
CoRR
Qianchi Zhang, Hainan Zhang, Liang Pang, Hongwei Zheng, Yongxin Tong, Zhiming Zheng
2025 J jnl
Hu-Fu: efficient and secure spatial queries over data federation.
VLDB J.
Yongxin Tong, Yuxiang Zeng, Yang Song, Xuchen Pan, Zeheng Fan, Chunbo Xue, Zimu Zhou, Xiaofei Zhang, Lei Chen, Yi Xu, Ke Xu, Weifeng Lv
2025 J jnl
HyFedRAG: A Federated Retrieval-Augmented Generation Framework for Heterogeneous and Privacy-Sensitive Data.
CoRR
Cheng Qian, Hainan Zhang, Yongxin Tong, Hongwei Zheng, Zhiming Zheng
2025 J jnl
Learning to Erase Private Knowledge from Multi-Documents for Retrieval-Augmented Large Language Models.
CoRR
Yujing Wang, Hainan Zhang, Liang Pang, Yongxin Tong, Binghui Guo, Hongwei Zheng, Zhiming Zheng
2025 A* conf
Modeling Inter-Intra Heterogeneity for Graph Federated Learning.
AAAI
Wentao Yu, Shuo Chen, Yongxin Tong, Tianlong Gu, Chen Gong
2025 J jnl
NALSpatial: A Natural Language Interface for Spatial Databases.
IEEE Trans. Knowl. Data Eng.
Mengyi Liu, Xieyang Wang, Jianqiu Xu, Hua Lu, Yongxin Tong
2025 J jnl
PhaseFormer: From Patches to Phases for Efficient and Effective Time Series Forecasting.
CoRR
Yiming Niu, Jinliang Deng, Yongxin Tong
2025 A* conf
Poster: Asynchronous Federated Learning Library and Benchmark with AFL-Lib.
MobiCom
Boyi Liu, Shuyuan Li, Zimu Zhou, Shuo Kang, Yiming Ma, Yongxin Tong
2025 J jnl
Privacy-Preserving Reasoning with Knowledge-Distilled Parametric Retrieval Augmented Generation.
CoRR
Jinwen Chen, Hainan Zhang, Liang Pang, Yongxin Tong, Haibo Zhou, Yuan Zhan, Wei Lin, Zhiming Zheng
2025 J jnl
Ten Challenging Problems in Federated Foundation Models.
CoRR
Tao Fan, Hanlin Gu, Xuemei Cao, Chee Seng Chan, Qian Chen, Yiqiang Chen, Yihui Feng, Yang Gu, Jiaxiang Geng, Bing Luo, Shuoling Liu, WinKent Ong, Chao Ren, Jiaqi Shao, Chuan Sun, Xiaoli Tang, Hong Xi Tae, Yongxin Tong, Shuyue Wei, Fan Wu, Wei Xi, Mingcong Xu, He Yang, Xin Yang, Jiangpeng Yan, Hao Yu, Han Yu, Teng Zhang, Yifei Zhang, Xiaojin Zhang, Zhenzhe Zheng, Lixin Fan, Qiang Yang
2025 J jnl
Ten Challenging Problems in Federated Foundation Models.
IEEE Trans. Knowl. Data Eng.
Tao Fan, Hanlin Gu, Xuemei Cao, Chee Seng Chan, Qian Chen, Yiqiang Chen, Yihui Feng, Yang Gu, Jiaxiang Geng, Bing Luo, Shuoling Liu, WinKent Ong, Chao Ren, Jiaqi Shao, Chuan Sun, Xiaoli Tang, Hong Xi Tae, Yongxin Tong, Shuyue Wei, Fan Wu, Wei Xi, Mingcong Xu, He Yang, Xin Yang, Jiangpeng Yan, Hao Yu, Han Yu, Teng Zhang, Yifei Zhang, Xiaojin Zhang, Zhenzhe Zheng, Lixin Fan, Qiang Yang
2025 A* conf
Timestamp Approximate Nearest Neighbor Search Over High-Dimensional Vector Data.
ICDE
Yuxiang Wang, Ziyuan He, Yongxin Tong, Zimu Zhou, Yiman Zhong
2025 J jnl
Understanding and Mitigating the High Computational Cost in Path Data Diffusion.
CoRR
Dingyuan Shi, Lulu Zhang, Yongxin Tong, Ke Xu
2025 J jnl
eXpath: Explaining Knowledge Graph Link Prediction with Ontological Closed Path Rules.
Proc. VLDB Endow.
Ye Sun, Lei Shi, Yongxin Tong
2024 J jnl
A survey on federated learning: a perspective from multi-party computation.
Frontiers Comput. Sci.
Fengxia Liu, Zhiming Zheng, Yexuan Shi, Yongxin Tong, Yi Zhang
2024 J jnl
An Experimental Study on Federated Equi-Joins.
IEEE Trans. Knowl. Data Eng.
Shuyuan Li, Yuxiang Zeng, Yuxiang Wang, Yiman Zhong, Zimu Zhou, Yongxin Tong
2024 J jnl
Blockchain based federated learning for intrusion detection for Internet of Things.
Frontiers Comput. Sci.
Nan Sun, Wei Wang, Yongxin Tong, Kexin Liu
2024 A* conf
CASA: Clustered Federated Learning with Asynchronous Clients.
KDD
Boyi Liu, Yiming Ma, Zimu Zhou, Yexuan Shi, Shuyuan Li, Yongxin Tong
2024 — ed.
Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part I
DASFAA (1)
Makoto Onizuka, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu
2024 — ed.
Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part IV
DASFAA (4)
Makoto Onizuka, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu
2024 — ed.
Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part V
DASFAA (5)
Makoto Onizuka, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu
2024 — ed.
Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part VI
DASFAA (6)
Makoto Onizuka, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu
2024 — ed.
Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part VII
DASFAA (7)
Makoto Onizuka, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu
2024 J jnl
Efficient and Private Federated Trajectory Matching.
IEEE Trans. Knowl. Data Eng.
Yuxiang Wang, Yuxiang Zeng, Shuyuan Li, Yuanyuan Zhang, Zimu Zhou, Yongxin Tong
2024 A* conf
FedGTP: Exploiting Inter-Client Spatial Dependency in Federated Graph-based Traffic Prediction.
KDD
Linghua Yang, Wantong Chen, Xiaoxi He, Shuyue Wei, Yi Xu, Zimu Zhou, Yongxin Tong
2024 J jnl
Front Matter.
Proc. VLDB Endow.
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
2024 A* conf
Graph-constrained diffusion for End-to-End Path Planning.
ICLR
Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Zheng Wang, Jieping Ye
2024 A* conf
HeteFedRec: Federated Recommender Systems with Model Heterogeneity.
ICDE
Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin
2024 J jnl
Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learning.
CoRR
Yan Kang, Ziyao Ren, Lixin Fan, Linghua Yang, Yongxin Tong, Qiang Yang
2024 A* conf
MUSE-Net: Disentangling Multi-Periodicity for Traffic Flow Forecasting.
ICDE
Jianyang Qin, Yan Jia, Yongxin Tong, Heyan Chai, Ye Ding, Xuan Wang, Binxing Fang, Qing Liao
2024 J jnl
Modeling Inter-Intra Heterogeneity for Graph Federated Learning.
CoRR
Wentao Yu, Shuo Chen, Yongxin Tong, Tianlong Gu, Chen Gong
2024 A* conf
Towards Task-Conflicts Momentum-Calibrated Approach for Multi-task Learning.
ICDE
Heyan Chai, Zeyu Liu, Yongxin Tong, Ziyi Yao, Binxing Fang, Qing Liao
2024 A* conf
Traffic Pattern Sharing for Federated Traffic Flow Prediction with Personalization.
ICDM
Hang Zhou, Wentao Yu, Sheng Wan, Yongxin Tong, Tianlong Gu, Chen Gong
2024 J jnl
eXpath: Explaining Knowledge Graph Link Prediction with Ontological Closed Path Rules.
CoRR
Ye Sun, Lei Shi, Yongxin Tong
2023 A* conf
A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management.
KDD
Liyue Chen, Jiangyi Fang, Zhe Yu, Yongxin Tong, Shaosheng Cao, Leye Wang
2023 J jnl
A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management.
CoRR
Liyue Chen, Jiangyi Fang, Zhe Yu, Yongxin Tong, Shaosheng Cao, Leye Wang
2023 — conf
Approximate k-Nearest Neighbor Query over Spatial Data Federation.
DASFAA (1)
Kaining Zhang, Yongxin Tong, Yexuan Shi, Yuxiang Zeng, Yi Xu, Lei Chen, Zimu Zhou, Ke Xu, Weifeng Lv, Zhiming Zheng
2023 A* conf
Collision-Aware Route Planning in Warehouses Made Efficient: A Strip-based Framework.
ICDE
Dingyuan Shi, Nan Zhou, Yongxin Tong, Zimu Zhou, Yi Xu, Ke Xu
2023 J jnl
Combinatorial Optimization Meets Reinforcement Learning: Effective Taxi Order Dispatching at Large-Scale.
IEEE Trans. Knowl. Data Eng.
Yongxin Tong, Dingyuan Shi, Yi Xu, Weifeng Lv, Zhiwei Qin, Xiaocheng Tang
2023 A* conf
DM-PFL: Hitchhiking Generic Federated Learning for Efficient Shift-Robust Personalization.
KDD
Wenhao Zhang, Zimu Zhou, Yansheng Wang, Yongxin Tong
2023 A* conf
Distribution-Regularized Federated Learning on Non-IID Data.
ICDE
Yansheng Wang, Yongxin Tong, Zimu Zhou, Ruisheng Zhang, Sinno Jialin Pan, Lixin Fan, Qiang Yang
2023 J jnl
Efficient Approximate Range Aggregation Over Large-Scale Spatial Data Federation.
IEEE Trans. Knowl. Data Eng.
Yexuan Shi, Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Bolin Ding, Lei Chen
2023 J jnl
Efficient and Private Federated Trajectory Matching.
CoRR
Yuxiang Wang, Yuxiang Zeng, Yi Xu, Zimu Zhou, Yongxin Tong
2023 J jnl
Federated Computing: Query, Learning, and Beyond.
IEEE Data Eng. Bull.
Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Boyi Liu, Yexuan Shi, Shuyuan Li, Ke Xu, Weifeng Lv
2023 J jnl
HeteFedRec: Federated Recommender Systems with Model Heterogeneity.
CoRR
Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin
2023 J jnl
LiteHST: A Tree Embedding based Method for Similarity Search.
Proc. ACM Manag. Data
Yuxiang Zeng, Yongxin Tong, Lei Chen
2023 J jnl
Preface to the Special Issue on Theories and Technologies for Big Data Governance.
Int. J. Softw. Informatics
Xiaoyong Du, Xiaochun Yang, Yongxin Tong
2023 J jnl
SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning.
CoRR
Ziyao Ren, Yan Kang, Lixin Fan, Linghua Yang, Tao Fan, Yongxin Tong, Qiang Yang
2023 A* conf
Towards Capacity-Aware Broker Matching: From Recommendation to Assignment.
ICDE
Shuyue Wei, Yongxin Tong, Zimu Zhou, Qiaoyang Liu, Lulu Zhang, Yuxiang Zeng, Jieping Ye
2023 J jnl
Towards Capacity-Aware Broker Matching: From Recommendation to Assignment.
CoRR
Shuyue Wei, Yongxin Tong, Zimu Zhou, Qiaoyang Liu, Lulu Zhang, Yuxiang Zeng, Jieping Ye
2022 J jnl
A Secure Multi-party Data Federation System.
Int. J. Softw. Informatics
Shuyuan Li, Yudian Ji, Dingyuan Shi, Wangdong Liao, Lipeng Zhang, Yongxin Tong, Ke Xu
2022 A* conf
Adaptive Task Planning for Large-Scale Robotized Warehouses.
ICDE
Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Wenzhe Tan, Hongbo Li
2022 J jnl
Adaptive Task Planning for Large-Scale Robotized Warehouses.
CoRR
Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Wenzhe Tan, Hongbo Li
2022 J jnl
An Efficient Insertion Operator in Dynamic Ridesharing Services.
IEEE Trans. Knowl. Data Eng.
Yi Xu, Yongxin Tong, Yexuan Shi, Qian Tao, Ke Xu, Wei Li
2022 — conf
Data Source Selection in Federated Learning: A Submodular Optimization Approach.
DASFAA (2)
Ruisheng Zhang, Yansheng Wang, Zimu Zhou, Ziyao Ren, Yongxin Tong, Ke Xu
2022 A* conf
Efficient Approximate Range Aggregation over Large-scale Spatial Data Federation (Extended Abstract).
ICDE
Yexuan Shi, Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Bolin Ding, Lei Chen
2022 — conf
Faster and Better Solution to Embed Lp Metrics by Tree Metrics.
SIGMOD Conference
Yuxiang Zeng, Yongxin Tong, Lei Chen
2022 A* conf
Fed-LTD: Towards Cross-Platform Ride Hailing via Federated Learning to Dispatch.
KDD
Yansheng Wang, Yongxin Tong, Zimu Zhou, Ziyao Ren, Yi Xu, Guobin Wu, Weifeng Lv
2022 J jnl
Hu-Fu: A Data Federation System for Secure Spatial Queries.
Proc. VLDB Endow.
Xuchen Pan, Yongxin Tong, Chunbo Xue, Zimu Zhou, Junping Du, Yuxiang Zeng, Yexuan Shi, Xiaofei Zhang, Lei Chen, Yi Xu, Ke Xu, Weifeng Lv
2022 J jnl
Hu-Fu: Efficient and Secure Spatial Queries over Data Federation.
Proc. VLDB Endow.
Yongxin Tong, Xuchen Pan, Yuxiang Zeng, Yexuan Shi, Chunbo Xue, Zimu Zhou, Xiaofei Zhang, Lei Chen, Yi Xu, Ke Xu, Weifeng Lv
2022 J jnl
Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation.
IEEE Trans. Knowl. Data Eng.
Hao Liu, Yongxin Tong, Jindong Han, Panpan Zhang, Xinjiang Lu, Hui Xiong
2022 J jnl
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1.
ACM Trans. Intell. Syst. Technol.
Qiang Yang, Yongxin Tong, Yang Liu, Yangqiu Song, Hao Peng, Boi Faltings
2022 J jnl
Preface to Federated Learning: Algorithms, Systems, and Applications: Part 2.
ACM Trans. Intell. Syst. Technol.
Qiang Yang, Yongxin Tong, Yang Liu, Yangqiu Song, Hao Peng, Boi Faltings
2022 J jnl
Unified Route Planning for Shared Mobility: An Insertion-based Framework.
ACM Trans. Database Syst.
Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Lei Chen, Ke Xu
2022 A* conf
p-Meta: Towards On-device Deep Model Adaptation.
KDD
Zhongnan Qu, Zimu Zhou, Yongxin Tong, Lothar Thiele
2022 J jnl
p-Meta: Towards On-device Deep Model Adaptation.
CoRR
Zhongnan Qu, Zimu Zhou, Yongxin Tong, Lothar Thiele
2021 B conf
A Differentially Private Task Planning Framework for Spatial Crowdsourcing.
MDM
Qian Tao, Yongxin Tong, Shuyuan Li, Yuxiang Zeng, Zimu Zhou, Ke Xu
2021 J jnl
A GDPR-compliant Ecosystem for Speech Recognition with Transfer, Federated, and Evolutionary Learning.
ACM Trans. Intell. Syst. Technol.
Di Jiang, Conghui Tan, Jinhua Peng, Chaotao Chen, Xueyang Wu, Weiwei Zhao, Yuanfeng Song, Yongxin Tong, Chang Liu, Qian Xu, Qiang Yang, Li Deng
2021 — conf
Adaptive Backstepping based Secure Control for P-normal Form of Second-Order Nonlinear Systems Against Deception Attacks.
CDC
Mengze Yu, Wei Wang, Jing Zhou, Yongxin Tong
2021 A conf
Adaptive Holding for Online Bottleneck Matching with Delays.
SDM
Kaixin Wang, Cheng Long, Yongxin Tong, Jie Zhang, Yi Xu
2021 A* conf
An Efficient Approach for Cross-Silo Federated Learning to Rank.
ICDE
Yansheng Wang, Yongxin Tong, Dingyuan Shi, Ke Xu
2021 B conf
Engaging Drivers in Ride Hailing via Competition: A Case Study with Arena.
MDM
Hao Cheng, Shuyue Wei, Lingyu Zhang, Zimu Zhou, Yongxin Tong
2021 J jnl
Federated Topic Discovery: A Semantic Consistent Approach.
IEEE Intell. Syst.
Yexuan Shi, Yongxin Tong, Zhiyang Su, Di Jiang, Zimu Zhou, Wenbin Zhang
2021 A* conf
HST+: An Efficient Index for Embedding Arbitrary Metric Spaces.
ICDE
Yuxiang Zeng, Yongxin Tong, Lei Chen
2021 J jnl
Industrial Federated Topic Modeling.
ACM Trans. Intell. Syst. Technol.
Di Jiang, Yongxin Tong, Yuanfeng Song, Xueyang Wu, Weiwei Zhao, Jinhua Peng, Rongzhong Lian, Qian Xu, Qiang Yang
2021 A* conf
Learning to Assign: Towards Fair Task Assignment in Large-Scale Ride Hailing.
KDD
Dingyuan Shi, Yongxin Tong, Zimu Zhou, Bingchen Song, Weifeng Lv, Qiang Yang
2021 J jnl
Preface to the Special Issue on Data Management and Analysis Technique Supporting AI.
Int. J. Softw. Informatics
Lei Chen, Hongzhi Wang, Yongxin Tong, Hong Gao
2021 A conf
Pruning Meta-Trained Networks for On-Device Adaptation.
CIKM
Dawei Gao, Xiaoxi He, Zimu Zhou, Yongxin Tong, Lothar Thiele
2021 A* conf
Pruning-Aware Merging for Efficient Multitask Inference.
KDD
Xiaoxi He, Dawei Gao, Zimu Zhou, Yongxin Tong, Lothar Thiele
2021 J jnl
Two-Sided Online Micro-Task Assignment in Spatial Crowdsourcing.
IEEE Trans. Knowl. Data Eng.
Yongxin Tong, Yuxiang Zeng, Bolin Ding, Libin Wang, Lei Chen
2021 A* conf
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms.
KDD
Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye
2021 J jnl
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms.
CoRR
Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye
2020 A* conf
Differentially Private Online Task Assignment in Spatial Crowdsourcing: A Tree-based Approach.
ICDE
Qian Tao, Yongxin Tong, Zimu Zhou, Yexuan Shi, Lei Chen, Ke Xu
2020 — ch.
Efficient and Fair Data Valuation for Horizontal Federated Learning.
Federated Learning
Shuyue Wei, Yongxin Tong, Zimu Zhou, Tianshu Song
2020 — conf
Federated Acoustic Model Optimization for Automatic Speech Recognition.
DASFAA (3)
Conghui Tan, Di Jiang, Huaxiao Mo, Jinhua Peng, Yongxin Tong, Weiwei Zhao, Chaotao Chen, Rongzhong Lian, Yuanfeng Song, Qian Xu
2020 A* conf
Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework.
AAAI
Yansheng Wang, Yongxin Tong, Dingyuan Shi
2020 J jnl
Federated Learning in the Lens of Crowdsourcing.
IEEE Data Eng. Bull.
Yongxin Tong, Yansheng Wang, Dingyuan Shi
2020 J jnl
Multi-skill aware task assignment in real-time spatial crowdsourcing.
GeoInformatica
Tianshu Song, Ke Xu, Jiangneng Li, Yiming Li, Yongxin Tong
2020 J jnl
Reducing Uncertainty of Schema Matching via Crowdsourcing with Accuracy Rates.
IEEE Trans. Knowl. Data Eng.
Chen Jason Zhang, Lei Chen, H. V. Jagadish, Mengchen Zhang, Yongxin Tong
2020 A* conf
Rethinking Pruning for Accelerating Deep Inference At the Edge.
KDD
Dawei Gao, Xiaoxi He, Zimu Zhou, Yongxin Tong, Ke Xu, Lothar Thiele
2020 J jnl
Spatial crowdsourcing: a survey.
VLDB J.
Yongxin Tong, Zimu Zhou, Yuxiang Zeng, Lei Chen, Cyrus Shahabi
2020 J jnl
The Simpler The Better: An Indexing Approach for Shared-Route Planning Queries.
Proc. VLDB Endow.
Yuxiang Zeng, Yongxin Tong, Yuguang Song, Lei Chen
2020 A* conf
TopicOcean: An Ever-Increasing Topic Model With Meta-learning.
ICDM
Yuanfeng Song, Yongxin Tong, Siqi Bao, Di Jiang, Hua Wu, Raymond Chi-Wing Wong
2020 J jnl
Two-sided online bipartite matching in spatial data: experiments and analysis.
GeoInformatica
Yiming Li, Jingzhi Fang, Yuxiang Zeng, Balz Maag, Yongxin Tong, Lingyu Zhang
2019 A* conf
A Unified Approach to Online Matching with Conflict-Aware Constraints.
AAAI
Pan Xu, Yexuan Shi, Hao Cheng, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yongxin Tong, Leonidas Tsepenekas
2019 A* conf
Adaptive Dynamic Bipartite Graph Matching: A Reinforcement Learning Approach.
ICDE
Yansheng Wang, Yongxin Tong, Cheng Long, Pan Xu, Ke Xu, Weifeng Lv
2019 A* conf
An Efficient Insertion Operator in Dynamic Ridesharing Services.
ICDE
Yi Xu, Yongxin Tong, Yexuan Shi, Qian Tao, Ke Xu, Wei Li
2019 — ed.
Database Systems for Advanced Applications - 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings, Part I
DASFAA (1)
Guoliang Li, Jun Yang, João Gama, Juggapong Natwichai, Yongxin Tong
2019 — ed.
Database Systems for Advanced Applications - 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings, Part II
DASFAA (2)
Guoliang Li, Jun Yang, João Gama, Juggapong Natwichai, Yongxin Tong
2019 — ed.
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
DASFAA Workshops
Guoliang Li, Jun Yang, João Gama, Juggapong Natwichai, Yongxin Tong
2019 J jnl
Disentangling Redundancy for Multi-Task Pruning.
CoRR
Xiaoxi He, Dawei Gao, Zimu Zhou, Yongxin Tong, Lothar Thiele
2019 J jnl
Federated Machine Learning: Concept and Applications.
CoRR
Qiang Yang, Yang Liu, Tianjian Chen, Yongxin Tong
2019 J jnl
Federated Machine Learning: Concept and Applications.
ACM Trans. Intell. Syst. Technol.
Qiang Yang, Yang Liu, Tianjian Chen, Yongxin Tong
2019 A conf
Federated Topic Modeling.
CIKM
Di Jiang, Yuanfeng Song, Yongxin Tong, Xueyang Wu, Weiwei Zhao, Qian Xu, Qiang Yang
2019 A* conf
Hydra: A Personalized and Context-Aware Multi-Modal Transportation Recommendation System.
KDD
Hao Liu, Yongxin Tong, Panpan Zhang, Xinjiang Lu, Jianguo Duan, Hui Xiong
2019 J jnl
Interaction Management in Crowdsourcing.
IEEE Data Eng. Bull.
Yansheng Wang, Tianshu Song, Qian Tao, Yuxiang Zeng, Zimu Zhou, Yi Xu, Yongxin Tong, Lei Chen
2019 J jnl
Last-Mile Delivery Made Practical: An Efficient Route Planning Framework with Theoretical Guarantees.
Proc. VLDB Endow.
Yuxiang Zeng, Yongxin Tong, Lei Chen
2019 A* conf
Preference-Aware Task Assignment in On-Demand Taxi Dispatching: An Online Stable Matching Approach.
AAAI
Boming Zhao, Pan Xu, Yexuan Shi, Yongxin Tong, Zimu Zhou, Yuxiang Zeng
2019 A* conf
Procrastination-Aware Scheduling: A Bipartite Graph Perspective.
ICDE
Libin Wang, Yongxin Tong, Chunming Hu, Lei Chen, Yiming Li
2019 — conf
Profit Allocation for Federated Learning.
IEEE BigData
Tianshu Song, Yongxin Tong, Shuyue Wei
2019 A conf
Recommendation-based Team Formation for On-demand Taxi-calling Platforms.
CIKM
Lingyu Zhang, Tianshu Song, Yongxin Tong, Zimu Zhou, Dan Li, Wei Ai, Lulu Zhang, Guobin Wu, Yan Liu, Jieping Ye
2019 A* conf
SLADE: A Smart Large-Scale Task Decomposer in Crowdsourcing.
ICDE
Yongxin Tong, Lei Chen, Zimu Zhou, H. V. Jagadish, Lidan Shou, Weifeng Lv
2018 J jnl
A Unified Approach to Route Planning for Shared Mobility.
Proc. VLDB Endow.
Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Lei Chen, Jieping Ye, Ke Xu
2018 A* conf
Demand-Aware Charger Planning for Electric Vehicle Sharing.
KDD
Bowen Du, Yongxin Tong, Zimu Zhou, Qian Tao, Wenjun Zhou
2018 — conf
Dynamic Pricing in Spatial Crowdsourcing: A Matching-Based Approach.
SIGMOD Conference
Yongxin Tong, Libin Wang, Zimu Zhou, Lei Chen, Bowen Du, Jieping Ye
2018 J jnl
Dynamic task assignment in spatial crowdsourcing.
ACM SIGSPATIAL Special
Yongxin Tong, Zimu Zhou
2018 A* conf
Latency-Oriented Task Completion via Spatial Crowdsourcing.
ICDE
Yuxiang Zeng, Yongxin Tong, Lei Chen, Zimu Zhou
2018 — conf
Multi-Worker-Aware Task Planning in Real-Time Spatial Crowdsourcing.
DASFAA (2)
Qian Tao, Yuxiang Zeng, Zimu Zhou, Yongxin Tong, Lei Chen, Ke Xu
2018 A* conf
Realtime Traffic Speed Estimation with Sparse Crowdsourced Data.
ICDE
Zheng Liu, Lei Chen, Yongxin Tong
2018 J jnl
Reducing Uncertainty of Schema Matching via Crowdsourcing with Accuracy Rates.
CoRR
Chen Jason Zhang, Lei Chen, H. V. Jagadish, Mengchen Zhang, Yongxin Tong
2018 J jnl
SLADE: A Smart Large-Scale Task Decomposer in Crowdsourcing.
IEEE Trans. Knowl. Data Eng.
Yongxin Tong, Lei Chen, Zimu Zhou, H. V. Jagadish, Lidan Shou, Weifeng Lv
2017 J jnl
Diversity Regularized Latent Semantic Match for Hashing.
Neurocomputing
Yong Chen, Hui Zhang, Yongxin Tong, Ming Lu
2017 — conf
Feedback-Aware Social Event-Participant Arrangement.
SIGMOD Conference
Jieying She, Yongxin Tong, Lei Chen, Tianshu Song
2017 J jnl
Flexible Online Task Assignment in Real-Time Spatial Data.
Proc. VLDB Endow.
Yongxin Tong, Libin Wang, Zimu Zhou, Bolin Ding, Lei Chen, Jieping Ye, Ke Xu
2017 J jnl
Knowledge Base Semantic Integration Using Crowdsourcing.
IEEE Trans. Knowl. Data Eng.
Rui Meng, Lei Chen, Yongxin Tong, Chen Jason Zhang
2017 J jnl
Spatial Crowdsourcing: Challenges, Techniques, and Applications.
Proc. VLDB Endow.
Yongxin Tong, Lei Chen, Cyrus Shahabi
2017 — conf
Team-Oriented Task Planning in Spatial Crowdsourcing.
APWeb/WAIM (1)
Dawei Gao, Yongxin Tong, Yudian Ji, Ke Xu
2017 A* conf
The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms.
KDD
Yongxin Tong, Yuqiang Chen, Zimu Zhou, Lei Chen, Jie Wang, Qiang Yang, Jieping Ye, Weifeng Lv
2017 J jnl
Top-k Team Recommendation and Its Variants in Spatial Crowdsourcing.
Data Sci. Eng.
Dawei Gao, Yongxin Tong, Jieying She, Tianshu Song, Lei Chen, Ke Xu
2017 A* conf
Trichromatic Online Matching in Real-Time Spatial Crowdsourcing.
ICDE
Tianshu Song, Yongxin Tong, Libin Wang, Jieying She, Bin Yao, Lei Chen, Ke Xu
2016 — conf
Adjustable Time-Window-Based Event Detection on Twitter.
WAIM (2)
Qinyi Wang, Jieying She, Tianshu Song, Yongxin Tong, Lei Chen, Ke Xu
2016 J jnl
Bottleneck-aware arrangement over event-based social networks: the max-min approach.
World Wide Web
Yongxin Tong, Jieying She, Rui Meng
2016 J jnl
Conflict-Aware Event-Participant Arrangement and Its Variant for Online Setting.
IEEE Trans. Knowl. Data Eng.
Jieying She, Yongxin Tong, Lei Chen, Caleb Chen Cao
2016 J jnl
Cross-Lingual Topic Discovery From Multilingual Search Engine Query Log.
ACM Trans. Inf. Syst.
Di Jiang, Yongxin Tong, Yuanfeng Song
2016 J jnl
Online Minimum Matching in Real-Time Spatial Data: Experiments and Analysis.
Proc. VLDB Endow.
Yongxin Tong, Jieying She, Bolin Ding, Lei Chen, Tianyu Wo, Ke Xu
2016 A* conf
Online mobile Micro-Task Allocation in spatial crowdsourcing.
ICDE
Yongxin Tong, Jieying She, Bolin Ding, Libin Wang, Lei Chen
2016 — conf
Top-k Team Recommendation in Spatial Crowdsourcing.
WAIM (1)
Dawei Gao, Yongxin Tong, Jieying She, Tianshu Song, Lei Chen, Ke Xu
2016 J jnl
Tracking frequent items over distributed probabilistic data.
World Wide Web
Yongxin Tong, Xiaofei Zhang, Lei Chen
2016 — ed.
Web-Age Information Management - WAIM 2016 International Workshops, MWDA, SDMMW, and SemiBDMA, Nanchang, China, June 3-5, 2016, Revised Selected Papers
WAIM Workshops
Shaoxu Song, Yongxin Tong
2015 A* conf
Cleaning uncertain data with a noisy crowd.
ICDE
Chen Jason Zhang, Lei Chen, Yongxin Tong, Zheng Liu
2015 A* conf
Conflict-aware event-participant arrangement.
ICDE
Jieying She, Yongxin Tong, Lei Chen, Caleb Chen Cao
2015 A* conf
CrowdTC: Crowdsourced Taxonomy Construction.
ICDM
Rui Meng, Yongxin Tong, Lei Chen, Caleb Chen Cao
2015 J jnl
Locality-aware allocation of multi-dimensional correlated files on the cloud platform.
Distributed Parallel Databases
Xiaofei Zhang, Yongxin Tong, Lei Chen, Min Wang, Shicong Feng
2015 J jnl
Mining Frequent Itemsets in Correlated Uncertain Databases.
J. Comput. Sci. Technol.
Yongxin Tong, Lei Chen, Jieying She
2015 — conf
On bottleneck-aware arrangement for event-based social networks.
ICDE Workshops
Yongxin Tong, Rui Meng, Jieying She
2015 J jnl
Towards Better Understanding of App Functions.
J. Comput. Sci. Technol.
Yongxin Tong, Jieying She, Lei Chen
2015 — conf
Utility-Aware Social Event-Participant Planning.
SIGMOD Conference
Jieying She, Yongxin Tong, Lei Chen
2014 A* conf
CrowdCleaner: Data cleaning for multi-version data on the web via crowdsourcing.
ICDE
Yongxin Tong, Caleb Chen Cao, Chen Jason Zhang, Yatao Li, Lei Chen
2014 A conf
Efficient Probabilistic Supergraph Search Over Large Uncertain Graphs.
CIKM
Yongxin Tong, Xiaofei Zhang, Caleb Chen Cao, Lei Chen
2014 A conf
MaC: A Probabilistic Framework for Query Answering with Machine-Crowd Collaboration.
CIKM
Chen Jason Zhang, Lei Chen, Yongxin Tong
2014 A* conf
TCS: efficient topic discovery over crowd-oriented service data.
KDD
Yongxin Tong, Caleb Chen Cao, Lei Chen
2014 J jnl
Where To: Crowd-Aided Path Selection.
Proc. VLDB Endow.
Chen Jason Zhang, Yongxin Tong, Lei Chen
2014 J jnl
gMission: A General Spatial Crowdsourcing Platform.
Proc. VLDB Endow.
Zhao Chen, Rui Fu, Ziyuan Zhao, Zheng Liu, Leihao Xia, Lei Chen, Peng Cheng, Caleb Chen Cao, Yongxin Tong, Chen Jason Zhang
2013 A* conf
EAGRE: Towards scalable I/O efficient SPARQL query evaluation on the cloud.
ICDE
Xiaofei Zhang, Lei Chen, Yongxin Tong, Min Wang
2013 A* conf
WiseMarket: a new paradigm for managing wisdom of online social users.
KDD
Caleb Chen Cao, Yongxin Tong, Lei Chen, H. V. Jagadish
2012 A* conf
Discovering Threshold-based Frequent Closed Itemsets over Probabilistic Data.
ICDE
Yongxin Tong, Lei Chen, Bolin Ding
2012 J jnl
Mining Frequent Itemsets over Uncertain Databases
CoRR
Yongxin Tong, Lei Chen, Yurong Cheng, Philip S. Yu
2012 J jnl
Mining Frequent Itemsets over Uncertain Databases.
Proc. VLDB Endow.
Yongxin Tong, Lei Chen, Yurong Cheng, Philip S. Yu
2012 A* conf
UFIMT: an uncertain frequent itemset mining toolbox.
KDD
Yongxin Tong, Lei Chen, Philip S. Yu
2012 J jnl
Whom to Ask? Jury Selection for Decision Making Tasks on Micro-blog Services
CoRR
Caleb Chen Cao, Jieying She, Yongxin Tong, Lei Chen
2012 J jnl
Whom to Ask? Jury Selection for Decision Making Tasks on Micro-blog Services.
Proc. VLDB Endow.
Caleb Chen Cao, Jieying She, Yongxin Tong, Lei Chen
2009 — conf
Discovering Compatible Top-K Theme Patterns from Text Based on Users' Preferences.
PAISI
Yongxin Tong, Shilong Ma, Dan Yu, Yuanyuan Zhang, Zhao Li, Ke Xu
2009 J jnl
Mining Compressed Repetitive Gapped Sequential Patterns Efficiently
CoRR
Yongxin Tong, Zhao Li, Dan Yu, Shilong Ma, Ke Xu
2009 C conf
Mining Compressed Repetitive Gapped Sequential Patterns Efficiently.
ADMA
Yongxin Tong, Zhao Li, Dan Yu, Shilong Ma, Zhiyuan Cheng, Ke Xu