娄炯-上海交通大学计算机学院（网络空间安全学院、密码学院）

个人简介

娄炯，上海交通大学电子信息与电气工程学院计算机科学与工程系助理研究员，现为智能大数据系统实验室（iBDS）核心成员。他于 2023 年在上海交通大学计算机系获得工学博士学位，师从计算机系统与网络领域著名学者李颉教授与贾维嘉教授。其研究范围包括（1）边缘智能与生成式人工智能的融合，致力于通过大模型协同与鲁棒学习技术，解决复杂智能任务的调度优化与多模态数据理解难题。（2）多模态检索增强技术应用，在合同审核、视频监控等场景下深度优化大模型性能。（3）安全鲁棒的分布式多智能体调度与审计框架，实现跨组织的智能体高效安全协作。

娄炯目前已在相关领域发表学术论文 40 余篇，其中CCF-A 类论文 18 篇。代表性成果多次发表于 NeurIPS 2025、IJCAI 2025、ICDE 2025 等 AI 顶会及 IEEE TMC、TSC、TDSC 等权威期刊。作为项目负责人，他主持国家自然科学基金青年项目“面向复杂边缘智能场景的服务部署与任务调度”，并承担上海市科委“区块链全流程智能监管”研究课题。他积极服务于学术共同体，担任 INFOCOM、TDSC、TMC 等多个顶级会议和期刊的审稿人，并曾获 2024 年 IEEE-CCF 服务计算最佳学生论文奖及 MSN 最佳论文奖。

教育背景

2016年上海交通大学计算机科学与技术专业学士

2023年上海交通大学计算机科学与技术专业博士

工作履历

2016年9月至2018年6月上海交通大学辅导员

2018年7月至2020年7月澳门大学研究助理

2020年10月至2022年7月北京师范大学研究助理

2023年至今上海交通大学助理研究员

教授课程

Mathematical Foundations of Computer Science, cs2304, Shanghai Jiao Tong University, Spring, 2024
Game Theory and the Internet Application, cs7324, Shanghai Jiao Tong University, Spring, 2024
计算机基础及网络, CS2401E, Shanghai Jiao Tong University, Autumn, 2024

论文发表

Hongze Liu, Mengru Wang, Junzhe Liu, Shijing Yuan, Jiong Lou, Chentao Wu, Jie Li. CAST: Cluster-Driven Truthful Crowdfunding Mechanism for Shared AI Service Deployment. IEEE Transactions on Services Computing, accepted.
Kailai Li†, Jiong Lou†, Jiawei Sun, Honghong Zeng, Chentao Wu, Yuan Luo, Wen Li, Wei Zhao, Shouguo Du, Jie Li. GD^2: Robust Graph Learning under Label Noise via Dual-View Prediction Discrepancy. Neurips 2025, accepted.
Xinyu Lu, Zhanbo Feng, Jiong Lou, Chentao Wu, Guangtao Xue, Wei Zhao, Jie Li. Multi-layer Scheduling in Gig Platforms Using a Generative Diffusion Model with Duality Guidance. IEEE Transactions on Mobile Computing, accepted.
Kailai Li, Jiawei Sun, Jiong Lou*, Zhanbo Feng, Hefeng Zhou, Chentao Wu, Guangtao Xue, Wei Zhao, Jie Li. Leveraging Peer-Informed Label Consistency for Robust Graph Neural Networks with Noisy Labels. In: Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI 2025), August 16-22, 2025, Montreal, Canada.
Yuxin Liu, Yuezhang Peng, Xinyu Lu, Hefeng Zhou, Hongze Liu, Jiong Lou*, Chentao Wu, Wei Zhao, Jie Li. LOVO: Efficient Complex Object Query in Large-Scale Video Datasets. In: Proceedings of the 41st IEEE International Conference on Data Engineering (ICDE 2025), May 19-23, 2025, Hong Kong, China.
Xinyu Lu, Jiong Lou*, Jie Li, Runhui Xu, Chentao Wu,Zhi Liu Yuan Luo, Yang Yang. Towards Bi-level Supply/Demand Balanced Charging Systems via Online Power Scheduling. IEEE Transactions on Mobile Computing (TMC), 24(9): 8405-8422, 2025.
Honghong Zeng, Jiong Lou*, Kailai Li, Chentao Wu, Guangtao Xue, Yuan Luo, Fan Cheng, Wei Zhao, Jie Li. ESFL: Accelerating Poisonous Model Detection in Privacy-Preserving Federated Learning. IEEE Transactions on Dependable and Secure Computing (TDSC), 22(4): 3780-3794, 2025.
Xinyu Lu, Jiawei Sun, Jiong Lou, Yusheng Ji, Chentao Wu, Wei Zhao, Guangtao Xue, Yuan Luo, Fan Cheng, Jie Li. V2PCP: Toward Online Booking Mechanism for Private Charging Piles. IEEE Transactions on Intelligent Transportation Systems (TITS), 26(2): 2514-2529, 2025.
Zhanbo Feng, Yuanjie Wang, Jie Li, Fan Yang, Jiong Lou, Tiebin Mi, Robert Qiu, Zhenyu Liao. Robust and Communication-Efficient Federated Domain Adaptation via Random Features. IEEE Transactions on Knowledge and Data Engineering (TKDE), 37(3):1411-1424, 2025.
Zhenzheng Li, Jiong Lou, Zhiqing Tang, Jianxiong Guo, Tian Wang, Weijia Jia, Wei Zhao. Online Layer-Aware Joint Request Scheduling, Container Placement, and Resource Provision in Edge Computing. IEEE Transactions on Services Computing, vol. 18, no. 1, pp. 328-341, Jan.-Feb. 2025.
Zhenzheng Li, Jiong Lou, Jianfei Wu, Jianxiong Guo, Zhiqing Tang, Pingshen, Weijia Jia, Wei Zhao. Online Container Scheduling with Fast Function Startup and Low Memory Cost in Edge Computing. IEEE Transactions on Computers, vol. 73, no. 12, pp. 2747-2760, Dec. 2024.
Zhi Yao, Zhiqing Tang, Jiong Lou, Weijia Jia. VELO: A Vector Database-Assisted Cloud-Edge Collaborative LLM QoS Optimization Framework. In 2024 IEEE International Conference on Web Services (ICWS) (pp. 865-876). IEEE.
Honghong Zeng, Jie Li, Jiong Lou, Shijing Yuan, Chentao Wu, Wei Zhao, Sijin Wu, Zhiwen Wang. BSR-FL: An Efficient Byzantine-Robust Privacy-Preserving Federated Learning Framework. IEEE Transactions on Computers (TC), 73(8):2096-2110, 2024.
Hanshuai Cui, Zhiqing Tang, Jiong Lou, Weijia Jia, Wei Zhao. Latency-Aware Container Scheduling in Edge Cluster Upgrades: A Deep Reinforcement Learning Approach. IEEE Transactions on Services Computing, vol. 17, no. 5, pp. 2530-2543, Sept.-Oct. 2024.
Zhiqing Tang, Fangyi Mou, Jiong Lou, Weijia Jia, Yuan Wu, Wei Zhao. Joint Resource Overbooking and Container Scheduling in Edge Computing. IEEE Transactions on Mobile Computing, vol. 23, no. 12, pp. 10903-10917, Dec. 2024.
Jiong Lou, Zhiqing Tang, Xinyu Lu, Shijing Yuan, Jie Li, Weijia Jia, Chentao Wu. Efficient Serverless Function Scheduling in Edge Computing. ICC 2024-IEEE International Conference on Communications (ICC), 2024: 1-6.
Jiong Lou, Zhiqing Tang, Weijia Jia, Wei Zhao, Jie Li. Startup-aware Dependent Task Scheduling with Bandwidth Constraints in Edge Computing. IEEE Transactions on Mobile Computing, 2024, 23(2): 1586-1600.
Jiong Lou, Zhiqing Tang, Songli Zhang, Weijia Jia, Wei Zhao, Jie Li. Cost-Effective Scheduling for Dependent Tasks with Tight Deadline Constraints in Mobile Edge Computing. IEEE Transactions on Mobile Computing, 2023, 22(10): 5829-5845.
Jiong Lou, Hao Luo, Zhiqing Tang, Weijia Jia, Wei Zhao. Efficient Container Assignment and Layer Sequencing in Edge Computing. IEEE Transactions on Services Computing, 2023, 16(2): 1118-1132.
Jiong Lou, Zhiqing Tang, Weijia Jia. Energy-efficient Joint Task Assignment and Migration in Data Centers: A Deep Reinforcement Learning Approach. IEEE Transactions on Network and Service Management (TNSM), 2023, 20(2): 961-973.
Zhiqing Tang, Jiong Lou, Weijia Jia. Layer Dependency-aware Learning Scheduling Algorithms for Containers in Mobile Edge Computing. IEEE Transactions on Mobile Computing, 2023, 22(6): 3444-3459.
Zhiqing Tang, Fangyi Mou, Jiong Lou, Weijia Jia, Yuan Wu, Wei Zhao. Multi-user Layer-aware Online Container Migration in Edge-assisted vehicular Networks. IEEE/ACM Transactions on Networking, 2023, early access: 1-16.
Songli Zhang, Weijia Jia, Zhiqing Tang, Jiong Lou, Wei Zhao. Efficient Instance Reuse Approach for Service Function Chain Placement in Mobile Edge Computing. Computer Networks, 2022, 211: 109010.
Zhiqing Tang, Jiong Lou, Fuming Zhang, Weijia Jia. Dependent Task Offloading for Multiple Jobs in Edge Computing. 2020 29th International Conference on Computer Communications and Networks (ICCCN), 2020: 1-9.

资助项目

1. 国家自然科学基金青年科学基金项目 “面向复杂边缘智能场景的服务部署与任务调度” （编号：62402315）主持

2. 上海市2024年度“科技创新行动计划”区块链关键技术攻关专项项目 “区块链全流程智能监管技术研究与应用” （编号：24BC3201200）课题负责人

3. 国家重点研发计划“TB 级高效安全持久内存系统的研究” （编号：2023YFB4502905）骨干成员

4. 国家重点研发计划“面向一带一路的区块链基础平台” （编号：2023YFB2704903）参与

获奖信息

2016年上海交通大学校优秀党员

2024年 IEEE-CCF服务计算最佳学生论文奖

2024年 IEEE MSN会议最佳论文奖

学术服务

Reviewer

IEEE ToN
IEEE TPDS
IEEE TMC
IEEE TSC
IEEE INFOCOM
IEEE ICDCS
CN
JPDC
IEEE IOT-J

TPC Member

IEEE/ACM CCGRID 2024