Publications


  • Yu Chen, Sheng Zhang, Yuting Yan, Yibo Jin, Ning Chen, Mingtao Ji, Mingjun Xiao. "Crowd2: Multi-agent Bandit based Dispatch for Video Analytics upon Crowdsourcing." IEEE Conference on Computer Communications (INFOCOM). 2023
  • Ning Chen, Shuai Zhang, Sheng Zhang, Yuting Yan, Yu Chen, Sanglu Lu. "ResMap: Exploiting Sparse Residual Feature Map for Accelerating Cross-Edge Video Analytics." IEEE Conference on Computer Communications (INFOCOM). 2023
  • Jian Tang, Huichen Dai, Xiaoliang Wang. "Scalable RDMA Transport with Efficient Connection Sharing." IEEE Conference on Computer Communications (INFOCOM). 2023
  • Tingting Xu, Xiaoliang Wang, Chen Tian, Xiong Yun, Yun Lin, Baoliu Ye. "CLIP: Accelerating Features Deployment for Programmable Switch." IEEE Conference on Computer Communications (INFOCOM). 2023
  • Yuchu Fang, Wenzhong Li, Yao Zeng, Yang Zheng, Zheng Hu, Sanglu Lu. "PatchNAS: Repairing DNNs in Deployment with Patched Network Architecture Search." AAAI Conference on Artificial Intelligence (AAAI). 2023
  • Mingkai Lin, Wenzhong Li, Ding Li, Yizhou Chen, Guohao Li, Sanglu Lu. "Multi-Domain Generalized Graph Meta Learning." AAAI Conference on Artificial Intelligence (AAAI). 2023
  • Long Fan, Lei Xie, Xinran Lu, Yi Li, Chuyu Wang, and Sanglu Lu. "mmMIC: Multi-modal Speech Recognition based on mmWave Radar." IEEE Conference on Computer Communications (INFOCOM). 2023
  • Yiwen Feng, Kai Zhang, Chuyu Wang, Lei Xie, Jingyi Ning, and Shijia Chen. "mmEavesdropper: Signal Augmentation-based Directional Eavesdropping with mmWave Radar." IEEE Conference on Computer Communications (INFOCOM). 2023
  • Ke Cheng, Sheng Zhang, Chenghong Tu, Xiaohang Shi, Zhaoheng Yin, Sanglu Lu, Yu Liang, and Qing Gu. "IEEE Transactions on Parallel and Distributed Systems." IEEE Transactions on Parallel and Distributed Systems (TPDS). 2023
  • Wangxiang Ding, Wenzhong Li, Zhijie Zhang, Chen Wan, Jianhui Duan, Sanglu Lu. "Time-varying Gaussian Markov Random Fields Learning for Multivariate Time Series ClusteringTime-varying Gaussian Markov Random Fields Learning for Multivariate Time Series Clustering." IEEE Transactions on Knowledge and Data Engineering (TKDE). 2023
  • Zhijie Zhang, Wenzhong Li, Wangxiang Ding, Linming Zhang, Qingning Lu, Peng Hu, Tong Gui, Sanglu Lu. "STAD-GAN: Unsupervised Anomaly Detection on Multivariate Time Series with Self-Training Generative Adversarial Networks." ACM Transactions on Knowledge Discovery from Data (TKDD). 2023
  • Mingkai Lin, Lintan Sun, Rui Yang, Xusheng Liu, Yajuan Wang, Ding Li, Wenzhong Li, Sanglu Lu. "Fair Influence Maximization in Large-scale Social Networks Based on Attribute-aware Reverse Influence Sampling." Journal of Artificial Intelligence Research (JAIR). 2023
  • Yibo Jin, Lei Jiao, Mingtao Ji, Zhuzhong Qian, Sheng Zhang, Ning Chen, Sanglu Lu. "Scheduling In-Band Network Telemetry With Convergence-Preserving Federated Learning." IEEE/ACM Transactions on Networking (TON). 2023
  • Lei Xie, Zihao Chu, Yi Li, Tao Gu, Yanling Bu, Chuyu Wang, Sanglu Lu. "Industrial Vision: Rectifying Millimeter-Level Edge Deviation in Industrial Internet of Things with Camera-based Edge Device." IEEE Transactions on Mobile Computing (TMC). 2023
  • Chuyu Wang, Lei Xie, Jiaying Wu, Keyan Zhang, Wei Wang, Yanling Bu, and Sanglu Lu. "Spin-Antenna: Enhanced 3D Motion Tracking via Spinning Antenna based on COTS RFID." IEEE Transactions on Mobile Computing (TMC). 2023
  • Yafeng Yin, Zheng Wang, Kang Xia, Lei Xie, Sanglu Lu. "Acoustic-based Lip Reading for Mobile Devices: Dataset, Benchmark and A Self Distillation-based Approach." IEEE Transactions on Mobile Computing (TMC). 2023
  • Qing Guo, Lei Xie, Xinran Lu, Yanling Bu, Baoliu Ye, Sanglu Lu. "LightGyro: A Batteryless Orientation Measuring Scheme Based on Light Reflection." ACM Transactions on Sensor Networks (TOSN). 2023
  • Xiaohang Shi, Sheng Zhang, Ke Cheng, Yu Chen, Andong Zhu, and Sanglu Lu. "OSCA: Online User-managed Server Selection and Configuration Adaptation for Interactive MAR" IEEE/ACM International Symposium on Quality of Service (IWQoS). 2023
  • Zhi Ma, Sheng Zhang, Ning Chen, Zhuzhong Qian, Qing Gu, Yu Liang, Sanglu Lu "Dependent Task offloading and Service Caching with State Management for Mobile Edge Computing." IEEE InternationalConference on Communications (ICC). 2023
  • Jianhui Duan, Wenzhong Li, Derun Zou, Ruichen Li, Sanglu Lu. "Federated Learning with Data-Agnostic Distribution Fusion." IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR). 2023
  • Yi Yang, Xiang Li, Yeting Xu, Wenzhong Li, Jiangyi Hu, Taishan Xu, Xiancheng Ren and Sanglu Lu. "MetaLive: Meta-Reinforcement Learning Based Collective Bitrate Adaptation for Multi-Party Live Streaming." European Conference on Parallel and Distributed Computing (Euro-Par). 2023
  • Ding Li, Wenzhong Li, Yizhou Chen, Xu Zhong, Mingkai Lin, and Sanglu Lu. "Learning-based Dichotomy Graph Sketch for Summarizing Graph Streams with High Accuracy." International conference on Knowledge Science, Engineering and Management (KSEM). 2023
  • Yeting Xu, Xiang Li, Yi Yang, Zhenjie Lin, Liming Wang, Wenzhong Li. "FedABR: A Personalized Federated Reinforcement Learning Approach for Adaptive Video Streaming." IFIP International Conferences on Networking (Networking). 2023
  • Yinke Wang, Xu Zhong, Yimiao Shao, Jiangyi Hu, Taishan Xu, Yanhong Bao, Wenzhong Li. "Multi-Scale Time Series Ensemble Learning for Information System Anomaly Detection." IEEE International Conference on UbiquitousIntelligence and Computing (UIC). 2023
  • Shaojie Wang, Yinke Wang, Wenzhong Li. "Time Series Anomaly Detection with a Transformer Residual Autoencoder-Decoder." International Conference on Neural Information Processing (ICONIP). 2023
  • Xun Wang, Haonan Chen, Junming Yang, Zhuzhong Qian, Bolei Zhang. "SDV: Simple Double Validation Model-Based Offline Reinforcement Learning." European Conference on Artificial Intelligence (ECAI). 2023
  • Hesheng Sun, Xinyi Chen, Zhuzhong Qian, Zengji Li, Ning Chen, Tuo Cao, Suwei Xu, Yitong Zhou. "BIRP: Batch-aware Inference Workload Redistribution and Parallel Scheme for Edge Collaboration." International Conference on Parallel Processing (ICPP). 2023
  • Yibo Jin, Lei Jiao, Zhuzhong Qian, Ruiting Zhou, Lingjun Pu "Orchestrating Blockchain with Decentralized Federated Learning in Edge Networks." IEEE International Conference on Sensing, Communication, and Networking (SECON). 2023
  • Yitao Fan, Mingtao Ji, Zhuzhong Qian. "Accelerating Federated Learning With Adaptive Extra Local Updates Upon Edge Networks." International Conference on Parallel and Distributed Systems (ICPADS). 2023
  • Mingtao Ji, Zhuzhong Qian, Baoliu Ye. "When CPN Meets AI: Resource Provisioning for Inference Query Upon Computing Power Network." International Conference on Parallel and Distributed Systems (ICPADS). 2023
  • Shunpeng Hua, Baoliu Ye, Yue Zeng, Zhihao Qu, Bin Tang. "oint ControllerPlacement and Flow Assignment in Software Defined Edge Networks." International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP). 2023
  • Shiwei Gan, Yafeng Yin, Zhiwei Jiang, Kang Xia, Lei Xie, Sanglu Lu. "Contrastive Learning for Sign Language Recognition and Translation." International Joint Conference on Artificial Intelligence (IJCAI). 2023
  • Shiwei Gan, Yafeng Yin, Zhiwei Jiang, Lei Xie, and Sanglu Lu. "Towards Real-Time Sign Language Recognition and Translation on Edge Devices." ACM International Conference on Multimedia (MM). 2023
  • Qing Guo, Gaolei Duan, Lei Xie, Jingyi Ning, Chuyu Wang, Baoliu Ye and Sanglu Lu. "PalmEcho: Multimodal Authentication for Smartwatch via Beating Gestures." IEEE International Conference on Sensing, Communication, and Networking (SECON). 2023
  • Xiang Zhang, Lei Xie, Yanling Bu, Zhenjie Lin and Liming Wang. "Robust Activity Recognition Based on Human Skeleton for Video Surveillance." IEEE International Conference on Metaverse (Best Paper). 2023