期刊论文
1. Juan Li, Zishang Chen, Tianzi Zang, Tong Liu*, Jie Wu, Yanmin Zhu, Reinforcement Learning-Based Dual-Identity Double Auction in Personalized Federated Learning. IEEE Transactions on Mobile Computing, vol. 24, no. 5, pp. 4086-4103, May 2025. (CCF A类，IF=7.9)
2. Junwen Chen, Tong Liu*, Yangguang Cui, Xiaoqiang Li, Weiqin Tong, A meta-learning based method for few-shot pneumonia identification using chest X-ray images, Biomedical Signal Processing and Control, vol. 95, pp. 106433, 22 May. 2024, doi: 10.1016/j.bspc.2024.106433. (中科院2区，IF=4.9)
3. Yangguang Cui, Weiqin Tong, Tong Liu, Kun Cao, Junlong Zhou, Ming Xu, Tongquan We*, Energy-Aware Incentive Mechanism for Hierarchical Federated Learning Using Water Filling Technique. IEEE Transactions on Industrial Informatics, vol. 20, no. 12, pp. 14214-14225, Dec. 2024. (中科院1区)
4. Honghao Gao, Junsheng Xiao*, Yuyu Yin, Tong Liu, Jiangang Shi, A Mutually Supervised Graph Attention Network for Few-Shot Segmentation: The Perspective of Fully Utilizing Limited Samples. IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 4, pp. 4826-4838, April 2024. (中科院1区，高被引论文)
5. Tong Liu*, Dongyu Guo, Qichao Xu, Honghao Gao, Yanmin Zhu, Yuanyuan Yang, Joint Task Offloading and Dispatching for MEC with Rational Mobile Devices and Edge Nodes, IEEE Transactions on Cloud Computing, vol. 11, no. 3, pp. 3262-3273, 1 July-Sept. 2023, doi: 10.1109/TCC.2023.3280170. (中科院2区，IF=6.5)
6. Honghao Gao, Wanqiu Huang*, Tong Liu, Yuyu Yin*, Youhuizi Li, PPO2: Location Privacy-Oriented Task Offloading to Edge Computing Using Reinforcement Learning for Intelligent Autonomous Transport Systems. IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 7, pp. 7599-7612, July 2023. (中科院1区，高被引论文)
7. Tong Liu*, Shenggang Ni, Xiaoqiang Li, Yanmin Zhu, Linghe Kong, Yuanyuan Yang, Deep Reinforcement Learning based Approach for Online Service Placement and Computation Resource Allocation in Edge Computing, IEEE Transactions on Mobile Computing, vol. 22, no. 7, pp. 3870-3881, 1 July 2023. (CCF A类，IF=7.9)
8. Tong Liu*, Lu Fang, Yanmin Zhu, Weiqin Tong, Yuanyuan Yang, A Near-Optimal Approach for Online Task Offloading and Resource Allocation in Edge-Cloud Orchestrated Computing, IEEE Transactions on Mobile Computing, vol. 21, no. 8, pp. 2687-2700, 1 Aug. 2022. (CCF A类，IF=7.9)
9. Zhaobo Wang, Yanmin Zhu*, Qiaomei Zhang, Haobing Liu, Chunyang Wang, Tong Liu, Graph-Enhanced Spatial-Temporal Network for Next POI Recommendation, ACM Transactions on Knowledge Discovery from Data, 16(6), 1-21. (CCF B类)
10. Tong Liu*, Yameng Zhang, Yanmin Zhu, Weiqin Tong, Yuanyuan Yang, Online Computation Offloading and Resource Scheduling in Mobile Edge Computing, IEEE Internet of Things Journal, 2021, vol. 8, no. 8, pp. 6649-6664. (中科院1区，IF=10.6)
11. 刘通,方璐,高洪皓*.边缘计算中任务卸载研究综述[J].计算机科学, 2021, 48(01): 11-15.
12. Tong Liu*, Wenbin Wu, Yanmin Zhu, Weiqin Tong, Predicting taxi demands via an attention-based convolutional recurrent neural network, Knowl. Based Syst., 2020, 206: 106294.（中科院1区，IF=8.8）
13. Tong Liu*, Yameng Zhang, Xiaoxian Yang, Weiqin Tong, Near-Optimal User Recruitment in Mobile Crowdsensing for Urban Fine-Grained Event Detection, IEEE Access, 2020, 8: 514-525.
14. Tong Liu, Yanmin Zhu*, Yuanyuan Yang, and Fan Ye, ALC2: When Active Learning meets Compressive Crowdsensing for Urban Air Pollution Monitoring, IEEE Internet of Things Journal, 2019, 6(6): 9427-9438. (中科院1区，IF=10.6)
15. Tong Liu, Yanmin Zhu*, Liqun Huang, TGBA: A two-phase group buying based auction mechanism for recruiting workers in mobile crowd sensing, Computer Networks, 2019, 149: 56-75. (CCF B类，IF=5.6)
16. Tong Liu, Yanmin Zhu*, Ting Wen, and Jiadi Yu, Location Privacy-Preserving Method for Auction-Based Incentive Mechanisms in Mobile Crowd Sensing, The Computer Journal, 2018, 61(6): 937-948. (CCF B类，IF= 1.4)
17. Tong Liu, Yanmin Zhu*, Ruobing Jiang, and Qingwen Zhao, Distributed Social Welfare Maximization in Urban Vehicular Participatory Sensing Systems, IEEE Transactions on Mobile Computing, 2018, 17(6): 1314-1325. (CCF A类，IF=7.9)
18. Tong Liu, Yanmin Zhu*, Hongzi Zhu, Jiadi Yu, Yuanyuan Yang, and Fan Ye, Online Pricing for Efficient Renewable Energy Sharing in a Sustainable Microgrid, The Computer Journal, 2017, 60(2): 268-284. (CCF B类，IF=1.4)
19. Tong Liu, Tao Gu*, Ning Jin, and Yanmin Zhu, A Mixed Transmission Strategy to Achieve Energy Balancing in Wireless Sensor Networks, IEEE Transactions on Wireless Communications, 2017, 16(4): 2111-2122. (中科院1区，IF= 10.4)
20. Ruobing Jiang, Yanmin Zhu*, Tong Liu, and Qiuxia Chen, “Compressive Detection and Localization of Multiple Heterogeneous Events in Sensor Networks”, Ad Hoc Networks, 65(2017):65-77, 2017. (中科院2区，IF= 4.8)
21. Tong Liu, Yanmin Zhu*, Qian Zhang, and Athanasios Vasilakos, Stochastic Optimal Control for Participatory Sensing Systems with Heterogeneous Requests, IEEE Transactions on Computers, 2016, 65(5): 1619-1631. (CCF A 类，IF=3.7)
22. Tong Liu, Yanmin Zhu*, Ruobing Jiang, and Bo Li, A Sociality-aware Approach to Computing Backbone in Mobile Opportunistic Networks, Ad Hoc Networks, 2015, 24: 46-56. (中科院2区，IF=4.8)
23. Tong Liu, Yanmin Zhu*, Social Welfare Maximization in Participatory Smartphone Sensing”, Computer Networks, 2014, 73: 195-209. (CCF B类，IF=5.6)

会议论文
1. Yuhang Li, Tong Liu*, Yangguang Cui, Ming Hu, Xiaoqiang Li, One Arrow, Two Hawks: Sharpness-aware Minimization for Federated Learning via Global Model Trajectory. Accepted by the Forty-Second International Conference on Machine Learning (ICML 2025). (CCF A类)
2. Zhaopeng Xu, Tong Liu, Ruobing Jiang, Pengfei Hu, Zhongwen Guo, Chao Liu*. AFace: Range-flexible Anti-spoofing Face Authentication via Smartphone Acoustic Sensing. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT 2024), 2024, 8(1): 1-33. (共同一作，CCF A类)
3. Siteng Liao, Yangguang Cui, Tong Liu*, and Yanmin Zhu, Bi-Level Reinforcement Learning-Based Task Offloading for Delay Optimization in Wireless Powered Mobile Edge Computing, The 20th International Conference on Mobility, Sensing and Networking (MSN 2024), Harbin, China, 2024. (CCF C类)
4. Yuhang Li, Tong Liu*, Wenfeng Shen, Yangguang Cui, Weijia Lu, Improving Generalization and Personalization in LongTailed Federated Learning via Classifier Retraining, The 30th International European Conference on Parallel and Distributed Computing (Euro-Par 2024). Lecture Notes in Computer Science, vol 14802. Springer, Cham. (CCF B类)
5. Wenying Yao, Tong Liu*, Yangguang Cui, Yanmin Zhu, Heterogeneity-Aware Federated Learning with Adaptive Local Epoch Size in Edge Computing, The 19th International Conference on Mobility, Sensing and Networking (MSN 2023), Nanjing, China, 2023, pp. 167-174, doi: 10.1109/MSN60784.2023.0003. (CCF C 类)
6. Jianfeng Rao, Tong Liu*, Yangguang Cui, Yanmin Zhu, A Meta Reinforcement Learning-based Scheme for Adaptive Service Placement in Edge Computing, The 19th International Conference on Mobility, Sensing and Networking (MSN 2023), Nanjing, China, 2023, pp. 199-206, doi: 10.1109/MSN60784.2023.00040. (CCF C 类)
7. Jie Chen, Tong Liu*, Yanmin Zhu, Ruiyuan Li, Xiaoqiang Li, A Spatio-temporal Adaptive Personalized Meta-recommender for Next Location, IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI), Atlanta, GA, USA, 2023, pp. 942-946. (CCF C 类)
8. Lei Ren, Jie Chen, Tong Liu*, Hang Yu, OD-Enhanced Dynamic Spatial-Temporal Graph Convolutional Network for Metro Passenger Flow Prediction, 30th International Conference on Neural Information Processing (ICONIP2023), Changsha, China, November 20–23, 2023, pp. 72–85. (CCF C 类)
9. Jie Chen, Tong Liu*, Ruiyuan Li, Region Profile Enhanced Urban Spatio-Temporal Prediction via Adaptive Meta Learning, 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), New York, NY, USA, October 2023, pp. 224–233. (CCF B 类)
10. Xichen Ye, Xiaoqiang Li*, Songmin Dai, Tong Liu, Yan Sun, Weiqin Tong, Active negative loss functions for learning with noisy labels. Advances in Neural Information Processing Systems (NeurIPS 2023), 36, 6917-6940. (CCF A 类)
11. Dan Li, Tong Liu*, Chengfan Li, A Secure Auction Mechanism for Task Allocation in Mobile Crowdsensing, International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2022), Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 461. Springer, Cham. (CCF C 类)
12. Yubin Zhou, Tong Liu*, Yanmin Zhu, Honghao Gao, Yuanyuan Yang, Coalition Formation Game for Task Offloading in Edge Computing with Considering Individual Rationality and Collective Rationality of Users, IEEE International Conference on Communications (ICC 2022), Seoul, Korea, 2022: 1647-1652. (CCF C 类)
13. Tong Liu*, Dan Li, Chenhong Cao, Honghao Gao, Chengfan Li, Zhenni Feng, Joint Location-Value Privacy Protection for Spatiotemporal Data Collection via Mobile Crowdsensing, International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2021), Springer, Cham, 2021: 87-103, best student paper award. (CCF C 类)
14. Jiahao Yang, Tong Liu*, Chengfan Li, Weiqin Tong, Yanmin Zhu, Wenwei Ai, MGSTCN: A Multi-Graph Spatio-Temporal Convolutional Network for Metro Passenger Flow Prediction, IEEE 7th International Conference on Big Data Computing and Communications (BigCom 2021), online, 2021, pp. 164-171.
15. Hexiang Wu, Tong Liu*, Chengfan Li, Weiqin Tong, Zhenni Feng, Shimin Zhao, Estimation of Load Factors of Trains Using Multi-source data for Complex Metro Systems, IEEE 7th International Conference on Big Data Computing and Communications (BigCom 2021), online, 2021, pp. 172-179.
16. Yihuan Qian, Songwen Pei*, Jihong Yuan, Dianle Zhou, Tong Liu, Linghe Kong, DRAM: Dragonfly Routing Algorithm on Multi-objects by Optimal Thresholds, accepted by IEEE International Conference on Parallel & Distributed Processing with Applications (ISPA 2021), best student paper award. (CCF C 类)
17. Yameng Zhang, Tong Liu*, Yanmin Zhu, Yuanyuan Yang, A Deep Reinforcement Learning Approach for Online Computation Offloading in Mobile Edge Computing, IEEE/ACM 28th International Symposium on Quality of Service (IWQoS 2020), Hangzhou, China, 2020, pp. 1-10.
18. Lu Fang, Tong Liu*, Yanmin Zhu, Yuanyuan Yang, Task Offloading and Dispatching for MEC with Selfish Mobile Devices and Access Points, IEEE Global Communications Conference (GLOBECOM 2020), Taipei, Taiwan, 2020, pp. 1-6.
19. Xiaogan Jie, Tong Liu*, Honghao Gao, Chenhong Cao, Peng Wang, Weiqin Tong, A DQN-based Approach for Online Service Placement in Mobile Edge Computing, International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2020), online, 2020: 169-183.
20. Lu Fang, Tong Liu*, Honghao Gao, Chenhong Cao, Weimin Li, Weiqin Tong, An Efficient and Truthful Online Incentive Mechanism for a Social Crowdsensing Network, International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2020), online, 2020, pp. 49-63.
21. Wenbin Wu, Tong Liu*, Jiahao Yang, CACRNN: A Context-Aware Attention-Based Convolutional Recurrent Neural Network for Fine-Grained Taxi Demand Prediction, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020), 2020, pp. 636-648.
22. TianXiang Qin, Tong Liu*, Hexiang Wu, Weiqin Tong and Shimin Zhao, RESGCN: RESidual Graph Convolutional Network based Free Dock Prediction in Bike Sharing System, 21st IEEE International Conference on Mobile Data Management (MDM 2020), Versailles, France, 2020, pp. 210-217.
23. Lubin Liu, Tong Liu*, Xinglang Wang, Tao Xiao, Wei Fang, Hongyue Chen, NuMessage: Providing Scalable and Reliable Messaging Service in Distributed Systems, International Conference on Web Engineering (ICWE 2020), online, 2020, pp. 102-110.
24. Tong Liu*, Suqin Sheng, Lu Fang, Yameng Zhang, Tao Zhang, Weiqin Tong, Latency-Minimized and Energy-Efficient Online Task Offloading for Mobile Edge Computing with Stochastic Heterogeneous Tasks, IEEE 25th International Conference on Parallel and Distributed Systems (ICPADS 2019), 2019, pp. 376-383. (CCF C 类)
25. Tong Liu*, Wenbin Wu, Yanmin Zhu, and Weiqin Tong, Accuracy-Guaranteed Event Detection via Collaborative Mobile Crowdsensing with Unreliable Users, International Conference on Collaborative Computing: Networking, Applications and Worksharing (Collaboratecom 2019), 2019, pp. 729-744. (CCF C 类)
26. Tong Liu, Yanmin Zhu*, Yuanyuan Yang and Fan Ye, Incentive Design for Air Pollution Monitoring based on Compressive Crowdsensing, Proc. 2016 IEEE Global Communications Conference (GLOBECOM 2016), 2016, pp. 1-6. (CCF C 类)
27. Tong Liu, Yanmin Zhu*, Hongzi Zhu, Jiadi Yu, Yuanyuan Yang and Fan Ye, Long-Term Renewable Energy Usage Maximization in a Microgrid, Proc. 25th International Conference on Computer Communication and Networks (ICCCN 2016), 2016, pp. 1-8. (CCF C 类)
28. Ting Wen, Yanmin Zhu* and Tong Liu, “P2: A Location Privacy-Preserving Auction Mechanism for Mobile Crowd Sensing”, Proc. 2016 IEEE Global Communications Conference (GLOBECOM 2016), 2016. (CCF C 类)
29. Yu Zheng*, Tong Liu, Yilun Wang, Yanchi Liu, Yanmin Zhu and Eric Chang, “Diagnosing New York City’s Noises with Ubiquitous Data”, Proc. 16th ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2014), 2014. (CCF A 类)
30. Wei Sun, Jiadi Yu* and Tong Liu, “A Distributed Spectrum Sharing Algorithm in Cognitive Radio Networks”, Proc. 20th IEEE International Conference on Parallel and Distributed Systems (ICPADS 2014), 2014. (CCF C 类)
31. Tong Liu, Yanmin Zhu*, Social Welfare Maximization in Participatory Smartphone Sensing, Proc. 8th International Conference on Wireless Algorithms, Systems, and Applications (WASA 2013), 2013, pp. 351-365. (CCF C 类)
32. Tong Liu, Yanmin Zhu*, Ruobing Jiang and Bo Li, A Sociality-aware Approach to Computing Backbone in Mobile Opportunistic Networks, Proc. 2013 IEEE Global Communications Conference (GLOBECOM 2013), 2013, pp. 389-394. (CCF C 类)

专利

已授权发明专利
1. 刘通; 武文斌; 童维勤，“一种基于注意力机制的细粒度打车需求预测方法”，申请号：2020101150711，申请日：2020年2月25日。授权公告号：CN111340543B，授权公告日：2024年3月22日。
2. 刘通; 张亚萌; 李成范; 童维勤，“一种基站密集型边缘计算网络中的在线任务卸载方法”，申请号：2020104456678，申请日：2020年5月25日。授权公告号：CN111726826B，授权公告日：2024年3月19日。
3. 刘通; 方璐，“一种边缘计算系统中分布式的在线任务卸载调度方法”，申请号：2019110621190，申请日：2019年11月2日。授权公告号：CN110928654B，授权公告日：2024年3月19日。
4. 刘通，杨家豪，童维勤，艾文伟，赵时旻，“客流预测方法、系统及计算机可读存储介质”，申请号：2021103805619，申请日：2021年4月9日。授权公告号：CN113077090，授权公告日：2023年5月23日。
5. 刘通; 武文斌; 朱燕民; 童维勤，“一种基于群智感知系统的事件检测方法”，申请号：2019104162262，申请日：2019年5月20日。授权公告号：CN110263372B，授权公告日：2023年5月23日。
6. 刘通; 方璐; 童维勤; 李卫民，“一种多接入边缘计算系统中的任务卸载与分派方法”，申请号：2020112228103，申请日：2020年11月5日。授权公告号：CN112512061B，授权公告日：2022年11月22日。
7. 刘通; 揭潇淦; 童维勤; 李卫民，“一种边缘计算系统中的在线服务放置方法”，申请号：2020112225976，申请日：2020年11月5日。授权公告号：CN112511336B，授权公告日：2022年11月18日。
8. 刘通，吴鹤祥，童维勤，艾文伟，赵时旻，“公共交通满载率计算方法、系统及计算机可读存储介质”，申请号：ZL2021103805515，申请日：2021年4月9日。授权公告号：CN113095986B，授权公告日：2022年9月9日。
9. 刘通; 张亚萌; 熊赟; 童维勤，“一种基于位置的群智感知应用的隐私保护方法”，申请号：ZL2020109571634，申请日：2020年9月12日。授权公告号：CN112118531B，授权公告日：2021年6月29日。
10. 刘通，朱燕民，“电能调控方法及调控系统”，申请号：2016103025796，申请日：2016年5月9日。授权公告号：CN105932665B，授权公告日：2019年3月8日。
11. 刘通，朱燕民，“一种群智感知系统的激励方法”，申请号：2016103015652，申请日：2016年5月9日。授权公告号：CN106021861B，授权公告日：2018年8月24日。
12. 刘通，朱燕民，朱弘恣，“一种群智感知系统中任务接入和分配的在线控制方法”,申请号：2013104828079，申请日：2013年10月15日。授权公告号：CN103533052B，授权公告日：2016年8月10日。
13. 韩阳，朱燕民，刘通，“参与式感知系统中平台利润最大化的在线控制方法”，申请号：2014100126194，申请日：2014年1月10日。授权公告号：CN103761666B，授权公告日：2017年03月29日。
14. 朱燕民，刘通，“一种无线传感网中干扰模型测量方法及装置”，申请号：2012102345587，申请日：2012年7月6日。授权公告号：CN102752785B，授权公告日：2015年05月27日。