Zhizhang Hu

Orcid: 0000-0002-3823-4406

According to our database1, Zhizhang Hu authored at least 19 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
IOTeeth: Intra-Oral Teeth Sensing System for Dental Occlusal Diseases Recognition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2024

Are Large Language Models Capable of Causal Reasoning for Sensing Data Analysis?
Proceedings of the Workshop on Edge and Mobile Foundation Models, 2024

2023
Poster Abstract: Enhancing Fault Resilience of Air Quality Monitoring in San Joaquin Valley: A Data Equity Analysis.
Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023

Poster Abstract: Integrating On- and Off-body Sensing for Young Adults Failure to Launch (FTL) Behavior Profiling.
Proceedings of the 22nd International Conference on Information Processing in Sensor Networks, 2023

CMA: Cross-Modal Association Between Wearable and Structural Vibration Signal Segments for Indoor Occupant Sensing.
Proceedings of the 22nd International Conference on Information Processing in Sensor Networks, 2023

ProVLA: Compositional Image Search with Progressive Vision-Language Alignment and Multimodal Fusion.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Augmenting Vibration-Based Customer-Product Interaction Recognition with Sparse Load Sensing.
Proceedings of Cyber-Physical Systems and Internet of Things Week 2023, 2023

2022
CIPhy: Causal Intervention with Physical Confounder from IoT Sensor Data for Robust Occupant Information Inference.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

Poster Abstract: Sedentary Posture Muscle Monitoring via Active Vibratory Sensing.
Proceedings of the 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, 2022

Demo Abstract: Real-Time Teeth Functional Occlusion Monitoring via In-Mouth Vibration Sensing.
Proceedings of the 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, 2022

VMA: Domain Variance- and Modality-Aware Model Transfer for Fine-Grained Occupant Activity Recognition.
Proceedings of the 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, 2022

MODES: multi-sensor occupancy data-driven estimation system for smart buildings.
Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

2021
AutoQual: task-oriented structural vibration sensing quality assessment leveraging co-located mobile sensing context.
CCF Trans. Pervasive Comput. Interact., 2021

Footstep-Induced Floor Vibration Dataset: Reusability and Transferability Analysis.
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

Vibration-based Indoor Occupant Gait Monitoring with Robot Vacuum Cleaners: Poster Abstract.
Proceedings of the IoTDI '21: International Conference on Internet-of-Things Design and Implementation, 2021

2020
Inferring finer-grained human information with multi-modal cross-granularity learning: PhD forum abstract.
Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

Fine-grained activities recognition with coarse-grained labeled multi-modal data.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

A window-based sequence-to-one approach with dynamic voting for nurse care activity recognition using acceleration-based wearable sensor.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

2019
Device-free Sleep Stage Recognition through Bed Frame Vibration Sensing.
Proceedings of the 1st ACM International Workshop on Device-Free Human Sensing, 2019


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