Selected Publications

This page contains selected recent publications available in a wide array of formats and organized by the research topics. This research was supported in part by various funding agencies of both China and USA governments and industries in the past. The active and recently completed research projects which I’m leading include MOST of China Key Project on Smart City (科技部智慧城市专项) under grant 2019YFB2102100 (12/2019-11/2022), Guangdong Key R&D Project under grant 2020B010164003 (1/2020-12/2022), FDCT of Macao Key R&D Program on AI under grant 0015/2019/AKP (1/2020-12/2022), 深圳市城市计算与数据智能学科建设(2017-2020) 及深圳北斗位置服务技术工程研究中心(I/II期,1/2013-12/2021).

Current Research Projects
  • MoCAD: Macao Connected Autonomous Driving
  • IMC-CDC: Intelligent Management and Control in Software-Defined Cloud Datacenters
  • FC-UPS: Knowledge Fusion and Cognition for Urban Public Services
  • Cloud Resource Management for Microservices
  • Cloud Robotics and Self-Driving Vehicle
  • Wireless Power Transfer, Positioning and Localization in IoT
  • Intelligent Transportation and Smart City
  • Edge AI: Edge-Cloud System Support for ML and Big Data Applications

Following are selected papers. For more info, please visit Google Scholar or DBLP Library

  • Cost-Driven Data Caching in the Cloud: An Algorithmic Approach, IEEE Infocom 2021.
  • SmartDistance: A Mobile-based Positioning System for Automatically Monitoring Social Distance, IEEE Infocom 2021
  • Multi-layer Coordination for High-Performance Energy-Efficient Federated Learning. IWQoS 2020: 1-10
  • SmartPC: Hierarchical Pace Control in Real-Time Federated Learning System. IEEE RTSS 2019: 406-418
  • N. Tziritas, et al. Online live VM migration algorithms to minimize total migration time and downtime, IEEE IPDPS’2019.
  • G. Xu and C. Xu, MEER: online estimation of optimal memory reservations for long lived containers in in-memory cluster computing. IEEE ICDCS’2019.
  • Y. Zhao*, X. Gao*(equal), et al. Mayo: A Framework for Auto-generating Hardware Friendly Deep Neural Networks. In MobiSys EMDL workshop, Jun 2018.
  • R. Li, C. Shen, H. He, Z. Xu and C. Xu. A lightweight secure data sharing scheme for mobile cloud computing. IEEE Transactions on Cloud Computing, April 2018.
  • Y. Wang,  et al, Data Caching in Next Generation Mobile Cloud Services, Online vs. Off-Line. Proc. of ICPP 2017: 412-421.
  • N. Tziritas, et al, Data replication and virtual machine migrations to mitigate network overhead in edge computing systems. IEEE Transactions on Sustainable Computing, June 2017.
  • S. He, et al, Heterogeneity-aware collective I/O for parallel I/O systems with hybrid HDD/SSD servers, IEEE Transactions on Computers, 66(6):1091-1098, 2017.
  • S. He, et al, HARL: optimizing parallel file systems with heterogeneity-aware region-level data layout. IEEE Transactions on Computers, 66(6):1048-1060, June 2017.
  • Y. Wang, et al. On service migrations in the cloud for mobile accesses: a distributed approach, ACM Transactions on Autonomous Adaptive Systems, 12(2):1-25, May 2017.
  • L. Zeng, et al, Raccoon: a novel network I/O allocation framework for workload-aware VM scheduling in virtual environments. IEEE Trans. on Parallel and Distributed Systems, 28(9):2651-2662, Sept 2017.
  • S. He, et al, Using minmax-memory claims to improve in-memory workflow computations in the cloud, IEEE Trans. on Parallel and Distributed Systems, 28(4):1202-1214, April 2017.
  • T. Maqsood, et al, Leveraging on deep memory hierarchies to minimize energy consumption and data access latency on single-chip cloud computers. IEEE Transactions on Sustainable Computing, 2(2):154-166, February 2017.
  • L. Zeng, S. Xu, Y. Wang, K. Kent, D. Bremner, C. Xu, Toward cost-effective replica placements in cloud storage systems with QoS-awareness. Software: Practice and Experience, 47(6):813-829, June 2017.
  • Y. Liu, et al, Barrier-Aware warp scheduling for throughput processor, ACM Int. Conf. on Supercomputing (ICS), June 2016.
  • G. Xu, C. Xu and S. Jiang. Prophet: Scheduling Executors with Time-Varying Resource Demands on Data-Parallel Computation Frameworks. Proc. ICAC 2016: 45-54.
  • D. Dilli, et al, A low disk-bound transaction logging system for in-memory distributed data stores, IEEE Proc. of Cluster Computing , September 2016 (Best paper award nominee).
  • N. Tziritas, et al, On improving constrained single and group operator placement using evictions in big data environments, IEEE Transactions on Service Computing, Sept 2016.
  • Z. Bei, et al, RFHOC: A random-forest approach to auto-tuning Hadoop’s configuration. IEEE Trans. on Parallel and Distributed Systems, 27(5): 1470-1483, May 2016.
  • C. Jiang, et al, Two-Level Hybrid Sampled Simulation of Multithreaded Applications. ACM Transactions on Architecture and Code Optimization (TACO), 12(4): 39:1-39:25, April 2016.
  • C. Liu, et al. Strategy configurations of multiple users competition for cloud service reservation. IEEE Trans. on Parallel and Distributed Systems. 27(2):508-520, February 2016.
  • LAFEAT: Piercing Through Adversarial Defenses with Latent Features, CVPR’2021 (oral presentation) [Robustness and Security]
  • Focused Quantization for Sparse CNNs. NeurIPS 2019: 5585-5594 [Model inference efficiency in AD]
  • Dynamic channel pruning: feature boosting and suppression, ICLR 2019 [Model inference efficiency in AD]
  • RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr, ICML‘2020, [Model buildup in small data samples]
  • FPGA Implementation for CNN acceleration,  FTS’2019 [HW/SW co-design for model inference]
  • B. Y. Liu, L. J. Wang, X. Q. Chen, L. X. Huang, C. Z. Xu, “Peer-Assisted Robotic Learning: A Data-Driven Collaborative Learning Approach for Cloud Robotic Systems”, in Proc. ICRA 2021.
  • Federated Imitation Learning: A Novel Framework for Cloud Robotic Systems With Heterogeneous Sensor Data. IEEE Robotics Autom. Lett. 5(2): 3509-3516 (2020)
  • FC-SLAM: Federated Learning Enhanced Distributed Visual-LiDAR SLAM In Cloud Robotic System. ROBIO 2019
  • Boyi LiuLujia WangMing LiuChengzhong Xu:
    Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems. CoRR abs/1901.06455 (2019)
  • A Robust Stereo Camera Localization Method with Prior LiDAR Map Constrains. ROBIO 2019
  • L. Yan, et al, Employing opportunistic charging for electric taxicabs to reduce idle time, Proc of ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), vol 2(1), 2018 (Proc. of ACM on Ubicomp, 2018).
  • H. Zhang, et al, Urban-Scale Human Mobility Modeling With Multi-Source Urban Network Data. IEEE/ACM Transactions on Networking 26(2): 671-684 (2018).
  • Z. Yu, et al, MIA: Metric importance analysis for big data workload characterization, IEEE Trans. on Parallel and Distributed Systems, 29(6):1371-1384, June 2018.
  • L. Yan, et al. CatCharger: Deploying wireless charging lanes in a metropolitan road network through categorization and clustering of vehicle traffic. INFOCOM 2017:1-9.
  • B. Zhao, et al, A data-driven congestion diffusion model for characterizing traffic in metrocity scales, Proc. of IEEE Conf. on Big Data, 2017.
  • J. Zhao, et al, Estimation of passenger route choice pattern using smart card data for complex metro systems. IEEE Trans. on Intelligent Transportation Systems, 18(4):790-801, April 2017.
  • Y. Zhao, et al, ER-CRLB: An Extended Recursive Cramér-Rao Lower Bound Fundamental Analysis Method for Indoor Localization Systems, IEEE Transactions on Vehicular Technology, 66(2):1605-1618, February 2017.
  • F. Zhang, et al. Spatiotemproal segmentation of metro trips using smart card data. IEEE Transactions on Vehicular Technology, 65(3):1137-1149, March 2016.
  • F. Tang, M. Guo, S. Guo, C. Xu. Mobility prediction based joint stable routing and channel assignment for mobile ad hoc cognitive networks. IEEE Trans. on Parallel and Distributed Systems, 27(3): 789-803, March 2016.
  • M. Chen, et al, A novel approach to system design for dialect speech interaction with NAO robot, ICAR 2017:476-481.
  • Z. He, et al. Exploiting Real-Time Traffic Light Scheduling with Taxi Traces. ICPP 2016: 314-323.
  • Z. Tian, et al. Real-time charging station recommendation system for electric-vehicle taxis. IEEE Trans. on Intelligent Transportation Systems, 17(11): 3098-3109, Nov. 2016.
  • W. Xiong, et al. ShenZhen transportation system (SZTS): a novel big data benchmark suite. The Journal of Supercomputing 72(11): 4337-4364, Nov. 2016.
  • Pay Attention to Features, Transfer Learn Faster CNNs. ICLR 2020
  • RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr. ICML 2020: 6010-6019
  • SpHMC: Spectral Hamiltonian Monte Carlo, AAAI, 2019.
Recently Completed Research Projects