| 2026 | AAAI | FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models. | Zishuai Zhang, Hainan Zhang, Weihua Li, Qinnan Zhang, Jin Dong, Yongxin Tong, Zhiming Zheng |
| 2026 | ACL | Privacy-Preserving Reasoning with Knowledge-Distilled Parametric Retrieval Augmented Generation. | Jinwen Chen, Hainan Zhang, Liang Pang, Yongxin Tong, Haibo Zhou, Wei Lin, Zhiming Zheng |
| 2026 | DASFAA | Harnessing Asynchrony to Balance Modalities in Multi-modal Federated Learning. | Yiming Ma, Boyi Liu, Zimu Zhou, Yanfeng Wang, Yongxin Tong |
| 2026 | ICDE | Federated Retrieval Over Embedding-Heterogeneous Vector Databases. | Yuxiang Wang, Yongxin Tong, Zimu Zhou, Ziyuan He, Ruixi Hu, Ke Xu |
| 2026 | ICDE | Distance Comparison Operations are not Silver Bullets in Vector Similarity Search: A Benchmark Study on their Merits and Limits. | Zhuanglin Zheng, Yuxiang Zeng, Chenchen Liu, Yunzhen Chi, Binhan Yang, Yongxin Tong |
| 2026 | INFOCOM | Towards Asynchronous Client Collaboration in Personalized Federated Learning. | Boyi Liu, Zimu Zhou, Pengfei Gao, Shuo Kang, Yongxin Tong |
| 2026 | WWW | Less is More: Compact Clue Selection for Efficient Retrieval-Augmented Generation Reasoning. | Qianchi Zhang, Hainan Zhang, Liang Pang, Yongxin Tong, Hongwei Zheng, Zhiming Zheng |
| 2026 | SIGIR | FedMosaic: Federated Retrieval-Augmented Generation via Parametric Adapters. | Zhilin Liang, Yuxiang Wang, Zimu Zhou, Hainan Zhang, Boyi Liu, Yongxin Tong |
| 2025 | AAAI | Modeling Inter-Intra Heterogeneity for Graph Federated Learning. | Wentao Yu, Shuo Chen, Yongxin Tong, Tianlong Gu, Chen Gong |
| 2025 | ICDE | Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering. | Yiming Niu, Jinliang Deng, Lulu Zhang, Zimu Zhou, Yongxin Tong |
| 2025 | ICDE | Timestamp Approximate Nearest Neighbor Search Over High-Dimensional Vector Data. | Yuxiang Wang, Ziyuan He, Yongxin Tong, Zimu Zhou, Yiman Zhong |
| 2025 | ICDE | Efficient Data Valuation Approximation in Federated Learning: A Sampling-Based Approach. | Shuyue Wei, Yongxin Tong, Zimu Zhou, Tianran He, Yi Xu |
| 2025 | KDD | FedVS: Towards Federated Vector Similarity Search with Filters. | Zeheng Fan, Yuxiang Zeng, Zhuanglin Zheng, Binhan Yang, Yongxin Tong |
| 2025 | KDD | DarkDistill: Difficulty-Aligned Federated Early-Exit Network Training on Heterogeneous Devices. | Lehao Qu, Shuyuan Li, Zimu Zhou, Boyi Liu, Yi Xu, Yongxin Tong |
| 2025 | KDD | FedMetro: Efficient Metro Passenger Flow Prediction via Federated Graph Learning. | Tianlong Zhang, Xiaoxi He, Yuxiang Wang, Yi Xu, Rendi Wu, Zhifei Wang, Yongxin Tong |
| 2025 | MOBICOM | Poster: Asynchronous Federated Learning Library and Benchmark with AFL-Lib. | Boyi Liu, Shuyuan Li, Zimu Zhou, Shuo Kang, Yiming Ma, Yongxin Tong |
| 2024 | ICDE | Towards Task-Conflicts Momentum-Calibrated Approach for Multi-task Learning. | Heyan Chai, Zeyu Liu, Yongxin Tong, Ziyi Yao, Binxing Fang, Qing Liao |
| 2024 | ICDE | MUSE-Net: Disentangling Multi-Periodicity for Traffic Flow Forecasting. | Jianyang Qin, Yan Jia, Yongxin Tong, Heyan Chai, Ye Ding, Xuan Wang, Binxing Fang, Qing Liao |
| 2024 | ICDE | HeteFedRec: Federated Recommender Systems with Model Heterogeneity. | Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin |
| 2024 | ICDM | Traffic Pattern Sharing for Federated Traffic Flow Prediction with Personalization. | Hang Zhou, Wentao Yu, Sheng Wan, Yongxin Tong, Tianlong Gu, Chen Gong |
| 2024 | ICLR | Graph-constrained diffusion for End-to-End Path Planning. | Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Zheng Wang, Jieping Ye |
| 2024 | KDD | CASA: Clustered Federated Learning with Asynchronous Clients. | Boyi Liu, Yiming Ma, Zimu Zhou, Yexuan Shi, Shuyuan Li, Yongxin Tong |
| 2024 | KDD | FedGTP: Exploiting Inter-Client Spatial Dependency in Federated Graph-based Traffic Prediction. | Linghua Yang, Wantong Chen, Xiaoxi He, Shuyue Wei, Yi Xu, Zimu Zhou, Yongxin Tong |
| 2023 | DASFAA | Approximate k-Nearest Neighbor Query over Spatial Data Federation. | Kaining Zhang, Yongxin Tong, Yexuan Shi, Yuxiang Zeng, Yi Xu, Lei Chen, Zimu Zhou, Ke Xu, Weifeng Lv, Zhiming Zheng |
| 2023 | ICDE | Collision-Aware Route Planning in Warehouses Made Efficient: A Strip-based Framework. | Dingyuan Shi, Nan Zhou, Yongxin Tong, Zimu Zhou, Yi Xu, Ke Xu |
| 2023 | ICDE | Distribution-Regularized Federated Learning on Non-IID Data. | Yansheng Wang, Yongxin Tong, Zimu Zhou, Ruisheng Zhang, Sinno Jialin Pan, Lixin Fan, Qiang Yang |
| 2023 | ICDE | Towards Capacity-Aware Broker Matching: From Recommendation to Assignment. | Shuyue Wei, Yongxin Tong, Zimu Zhou, Qiaoyang Liu, Lulu Zhang, Yuxiang Zeng, Jieping Ye |
| 2023 | KDD | A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management. | Liyue Chen, Jiangyi Fang, Zhe Yu, Yongxin Tong, Shaosheng Cao, Leye Wang |
| 2023 | KDD | DM-PFL: Hitchhiking Generic Federated Learning for Efficient Shift-Robust Personalization. | Wenhao Zhang, Zimu Zhou, Yansheng Wang, Yongxin Tong |
| 2022 | DASFAA | Data Source Selection in Federated Learning: A Submodular Optimization Approach. | Ruisheng Zhang, Yansheng Wang, Zimu Zhou, Ziyao Ren, Yongxin Tong, Ke Xu |
| 2022 | ICDE | Adaptive Task Planning for Large-Scale Robotized Warehouses. | Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Wenzhe Tan, Hongbo Li |
| 2022 | ICDE | Efficient Approximate Range Aggregation over Large-scale Spatial Data Federation (Extended Abstract). | Yexuan Shi, Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Bolin Ding, Lei Chen |
| 2022 | KDD | p-Meta: Towards On-device Deep Model Adaptation. | Zhongnan Qu, Zimu Zhou, Yongxin Tong, Lothar Thiele |
| 2022 | KDD | Fed-LTD: Towards Cross-Platform Ride Hailing via Federated Learning to Dispatch. | Yansheng Wang, Yongxin Tong, Zimu Zhou, Ziyao Ren, Yi Xu, Guobin Wu, Weifeng Lv |
| 2022 | SIGMOD | Faster and Better Solution to Embed Lp Metrics by Tree Metrics. | Yuxiang Zeng, Yongxin Tong, Lei Chen |
| 2021 | CIKM | Pruning Meta-Trained Networks for On-Device Adaptation. | Dawei Gao, Xiaoxi He, Zimu Zhou, Yongxin Tong, Lothar Thiele |
| 2021 | ICDE | An Efficient Approach for Cross-Silo Federated Learning to Rank. | Yansheng Wang, Yongxin Tong, Dingyuan Shi, Ke Xu |
| 2021 | ICDE | HST+: An Efficient Index for Embedding Arbitrary Metric Spaces. | Yuxiang Zeng, Yongxin Tong, Lei Chen |
| 2021 | KDD | Pruning-Aware Merging for Efficient Multitask Inference. | Xiaoxi He, Dawei Gao, Zimu Zhou, Yongxin Tong, Lothar Thiele |
| 2021 | KDD | Learning to Assign: Towards Fair Task Assignment in Large-Scale Ride Hailing. | Dingyuan Shi, Yongxin Tong, Zimu Zhou, Bingchen Song, Weifeng Lv, Qiang Yang |
| 2021 | KDD | Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms. | Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye |
| 2021 | MDM | Engaging Drivers in Ride Hailing via Competition: A Case Study with Arena. | Hao Cheng, Shuyue Wei, Lingyu Zhang, Zimu Zhou, Yongxin Tong |
| 2021 | MDM | A Differentially Private Task Planning Framework for Spatial Crowdsourcing. | Qian Tao, Yongxin Tong, Shuyuan Li, Yuxiang Zeng, Zimu Zhou, Ke Xu |
| 2021 | SDM | Adaptive Holding for Online Bottleneck Matching with Delays. | Kaixin Wang, Cheng Long, Yongxin Tong, Jie Zhang, Yi Xu |
| 2020 | AAAI | Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework. | Yansheng Wang, Yongxin Tong, Dingyuan Shi |
| 2020 | DASFAA | 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 |
| 2020 | ICDE | Differentially Private Online Task Assignment in Spatial Crowdsourcing: A Tree-based Approach. | Qian Tao, Yongxin Tong, Zimu Zhou, Yexuan Shi, Lei Chen, Ke Xu |
| 2020 | ICDM | TopicOcean: An Ever-Increasing Topic Model With Meta-learning. | Yuanfeng Song, Yongxin Tong, Siqi Bao, Di Jiang, Hua Wu, Raymond Chi-Wing Wong |
| 2020 | KDD | Rethinking Pruning for Accelerating Deep Inference At the Edge. | Dawei Gao, Xiaoxi He, Zimu Zhou, Yongxin Tong, Ke Xu, Lothar Thiele |
| 2019 | AAAI | A Unified Approach to Online Matching with Conflict-Aware Constraints. | Pan Xu, Yexuan Shi, Hao Cheng, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yongxin Tong, Leonidas Tsepenekas |
| 2019 | AAAI | Preference-Aware Task Assignment in On-Demand Taxi Dispatching: An Online Stable Matching Approach. | Boming Zhao, Pan Xu, Yexuan Shi, Yongxin Tong, Zimu Zhou, Yuxiang Zeng |
| 2019 | CIKM | Federated Topic Modeling. | Di Jiang, Yuanfeng Song, Yongxin Tong, Xueyang Wu, Weiwei Zhao, Qian Xu, Qiang Yang |
| 2019 | CIKM | Recommendation-based Team Formation for On-demand Taxi-calling Platforms. | Lingyu Zhang, Tianshu Song, Yongxin Tong, Zimu Zhou, Dan Li, Wei Ai, Lulu Zhang, Guobin Wu, Yan Liu, Jieping Ye |
| 2019 | ICDE | SLADE: A Smart Large-Scale Task Decomposer in Crowdsourcing. | Yongxin Tong, Lei Chen, Zimu Zhou, H. V. Jagadish, Lidan Shou, Weifeng Lv |
| 2019 | ICDE | Procrastination-Aware Scheduling: A Bipartite Graph Perspective. | Libin Wang, Yongxin Tong, Chunming Hu, Lei Chen, Yiming Li |
| 2019 | ICDE | Adaptive Dynamic Bipartite Graph Matching: A Reinforcement Learning Approach. | Yansheng Wang, Yongxin Tong, Cheng Long, Pan Xu, Ke Xu, Weifeng Lv |
| 2019 | ICDE | An Efficient Insertion Operator in Dynamic Ridesharing Services. | Yi Xu, Yongxin Tong, Yexuan Shi, Qian Tao, Ke Xu, Wei Li |
| 2019 | KDD | Hydra: A Personalized and Context-Aware Multi-Modal Transportation Recommendation System. | Hao Liu, Yongxin Tong, Panpan Zhang, Xinjiang Lu, Jianguo Duan, Hui Xiong |
| 2018 | DASFAA | Multi-Worker-Aware Task Planning in Real-Time Spatial Crowdsourcing. | Qian Tao, Yuxiang Zeng, Zimu Zhou, Yongxin Tong, Lei Chen, Ke Xu |
| 2018 | ICDE | Realtime Traffic Speed Estimation with Sparse Crowdsourced Data. | Zheng Liu, Lei Chen, Yongxin Tong |
| 2018 | ICDE | Latency-Oriented Task Completion via Spatial Crowdsourcing. | Yuxiang Zeng, Yongxin Tong, Lei Chen, Zimu Zhou |
| 2018 | KDD | Demand-Aware Charger Planning for Electric Vehicle Sharing. | Bowen Du, Yongxin Tong, Zimu Zhou, Qian Tao, Wenjun Zhou |
| 2018 | SIGMOD | Dynamic Pricing in Spatial Crowdsourcing: A Matching-Based Approach. | Yongxin Tong, Libin Wang, Zimu Zhou, Lei Chen, Bowen Du, Jieping Ye |
| 2017 | APWEB | Team-Oriented Task Planning in Spatial Crowdsourcing. | Dawei Gao, Yongxin Tong, Yudian Ji, Ke Xu |
| 2017 | ICDE | Trichromatic Online Matching in Real-Time Spatial Crowdsourcing. | Tianshu Song, Yongxin Tong, Libin Wang, Jieying She, Bin Yao, Lei Chen, Ke Xu |
| 2017 | KDD | 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, Jie Wang, Qiang Yang, Jieping Ye, Weifeng Lv |
| 2017 | SIGMOD | Feedback-Aware Social Event-Participant Arrangement. | Jieying She, Yongxin Tong, Lei Chen, Tianshu Song |
| 2016 | ICDE | Online mobile Micro-Task Allocation in spatial crowdsourcing. | Yongxin Tong, Jieying She, Bolin Ding, Libin Wang, Lei Chen |
| 2015 | ICDE | Conflict-aware event-participant arrangement. | Jieying She, Yongxin Tong, Lei Chen, Caleb Chen Cao |
| 2015 | ICDE | On bottleneck-aware arrangement for event-based social networks. | Yongxin Tong, Rui Meng, Jieying She |
| 2015 | ICDE | Cleaning uncertain data with a noisy crowd. | Chen Jason Zhang, Lei Chen, Yongxin Tong, Zheng Liu |
| 2015 | ICDM | CrowdTC: Crowdsourced Taxonomy Construction. | Rui Meng, Yongxin Tong, Lei Chen, Caleb Chen Cao |
| 2015 | SIGMOD | Utility-Aware Social Event-Participant Planning. | Jieying She, Yongxin Tong, Lei Chen |
| 2014 | CIKM | Efficient Probabilistic Supergraph Search Over Large Uncertain Graphs. | Yongxin Tong, Xiaofei Zhang, Caleb Chen Cao, Lei Chen |
| 2014 | CIKM | MaC: A Probabilistic Framework for Query Answering with Machine-Crowd Collaboration. | Chen Jason Zhang, Lei Chen, Yongxin Tong |
| 2014 | ICDE | CrowdCleaner: Data cleaning for multi-version data on the web via crowdsourcing. | Yongxin Tong, Caleb Chen Cao, Chen Jason Zhang, Yatao Li, Lei Chen |
| 2014 | KDD | TCS: efficient topic discovery over crowd-oriented service data. | Yongxin Tong, Caleb Chen Cao, Lei Chen |
| 2013 | ICDE | EAGRE: Towards scalable I/O efficient SPARQL query evaluation on the cloud. | Xiaofei Zhang, Lei Chen, Yongxin Tong, Min Wang |
| 2013 | KDD | WiseMarket: a new paradigm for managing wisdom of online social users. | Caleb Chen Cao, Yongxin Tong, Lei Chen, H. V. Jagadish |
| 2012 | ICDE | Discovering Threshold-based Frequent Closed Itemsets over Probabilistic Data. | Yongxin Tong, Lei Chen, Bolin Ding |
| 2012 | KDD | UFIMT: an uncertain frequent itemset mining toolbox. | Yongxin Tong, Lei Chen, Philip S. Yu |
| 2009 | ADMA | Mining Compressed Repetitive Gapped Sequential Patterns Efficiently. | Yongxin Tong, Zhao Li, Dan Yu, Shilong Ma, Zhiyuan Cheng, Ke Xu |