Guoliang Xing
Professor
Directs the CUHK AIoT Lab, working on embedded AI, mobile health and wearable systems.
Guoliang Xing's lab at CUHK works on distributed, cloud & edge systems. 36 papers since 2023, 19 at top venues, mostly MobiCom and SenSys. 42 PhD students. 21 alumni, most often to Huawei and Apple. Applications close .
At a glance
- papers, 2023–2026
- 9/ year
- at T1 venues
- 53%
- PhD students
- 42
- MS students
- 0
- alumni listed
- 21
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 15 papers2025 · T1 9
- 8 papers2024 · T1 5
- 13 papers2023 · T1 5
T1 venuesOtherVenues: MobiCom, SenSys, NeurIPS, SIGCOMM, Nature Machine Intelligence
Research focuspaper titles that use each topic's words
- Distributed, cloud & edge systems7 papers
- wearable1 paper
- wearable systems0 papers
- mobile health0 papers
- embedded0 papers
Paper list
From the lab homepage.
202515 papers
- npj Digital MedicineAlzheimer’s disease digital biomarkers multidimensional landscape and AI model scoping review
- IEEE Communications Surveys & Tutorials, AprAn Overview on Economic Analysis of Internet of Everything
- MobiCom (T1)AquaScan: A Sonar-based Underwater Sensing System for Human Activity Monitoring
- SenSys (T1)Argus: Multi-view egocentric human mesh reconstruction based on stripped-down wearable mmwave add-on
- IEEE Transactions on Mobile ComputingBOTH: Efficient Coordination of Mobile Agents With Graph-Enhanced Bayesian Online Learning
- NeurIPS (T1)ContextAgent: Context-Aware Proactive LLM Agents with Open-World Sensory Perceptions
- IEEE Transactions on Mobile ComputingMitigating Tail Latency for on-Device Inference with Load-Balanced Heterogeneous Models
- MobiCom (T1)Myo-Trainer: A Vision-based Muscle-Aware Motion Feedback System for In-Home Resistance Training
- SIGCOMM (T1)SCX: Stateless KV-Cache Encoding for Cloud-Scale Confidential Transformer Serving
- Neural NetworksSemantic information-based attention mapping network for few-shot knowledge graph completion
- SenSys (T1)SHADE-AD: An llm-based framework for synthesizing activity data of Alzheimer’s patients
- Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous TechnologiesSocialmind: Llm-based proactive ar social assistive system with human-like perception for in-situ live interactions
20248 papers
- MobiCom (T1)ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer’s Disease
- The ACM/IEEE International Conference on Information Processing in Sensor NetworksArtFL: Exploiting Data Resolution in Federated Learning for Dynamic Runtime Inference via Multi-Scale Training
- MobiCom (T1)Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for Collaborative DNN Training on Heterogeneous Edge Devices
- Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous TechnologiesDrHouse: An LLM-empowered Diagnostic Reasoning System through Harnessing Outcomes from Sensor Data and Expert Knowledge
- MobiCom (T1)Soar: Design and Deployment of A Smart Roadside Infrastructure System for Autonomous Driving
- Proceedings of the International Workshop on Mobile Computing Systems and ApplicationsSRIS: Self-powered Reconfigurable Intelligent Surfaces
- NSDI (T1)VILAM: Infrastructure-assisted 3D Visual Localization and Mapping for Autonomous Driving
- MobiCom (T1)αLiDAR: An Adaptive High-Resolution Panoramic LiDAR System
202313 papers
- IEEE Transactions on Communications, JulAge of Information for Periodic Status Updates Under Sequence Based Scheduling
- The ACM/IEEE International Conference on Information Processing in Sensor Networks, Acceptance rate: 22/83=26.5%)CoEdge: A Cooperative Edge System for Distributed Real-Time Deep Learning Tasks
- SenSys (T1)EdgeFM: Leveraging Foundation Model for Open-set Learning on the Edge
- SIGCOMM (T1)Enabling Ubiquitous WiFi Sensing with Beamforming Reports
- The Annual International Conference on Mobile Systems, Applications, and ServicesHarmony: Heterogeneous Multi-Modal Federated Learning through Disentangled Model Training
- The ACM/IEEE International Conference on Information Processing in Sensor Networks, Acceptance rate: 22/83=26.5%)Interpersonal Distance Tracking with mmWave Radar and IMUs
- SenSys (T1)Miriam: Exploiting Elastic Kernels for Real-time Multi-DNN Inference on Edge GPU
- Proceedings of the International Workshop on Mobile Computing Systems and ApplicationsMoses: Exploiting Cross-Device Transferable Features for on-Device Tensor Program Optimization
- The Annual International Conference on Mobile Systems, Applications, and ServicesMozart: A Mobile ToF System for Sensing in the Dark through Phase Manipulation
- DATETimely Fusion of Surround Radar/Lidar for Object Detection in Autonomous Driving Systems
- NeurIPS (T1)Unleash the Potential of Image Branch for Cross-modal 3D Object Detection
- MobiCom (T1)VI-Map: Infrastructure-Assisted Real-Time HD Mapping for Autonomous Driving
Where alumni went21 listed, 60% to industry
Industry 12Academia 8
Most often to
- Huawei
- Apple
- Co-funder of Chivotech
Also to
- Carnegie Mellon University
- City University of Hong Kong
- HKUST
Apply to CUHKFall 2027
Computer Science and Engineering MPhil/PhD
- Round
- HKPFS / main round
- Opens
- —
- GRE
- See program page
- English
- Interview in English
- Fee
- See program page
Not yet confirmed for this intake.
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