Zhizhang "Kevin" Hu
About Me
Hi, Welcome to my page! I am an Applied Scientist at Amazon. I work on multi-lingual multi-modal LLMs. I earned my Ph.D. in Electrical Engineering and Computer Science at University of California, Merced with a focus on multimodal learning and ubiquitous computing. Please feel free to contact me if you want to chat/ collaborate/ ask for the latest resume :-D.
Interests
- Multimodal Large Language Model
- Multi-agent Reasoning
Education
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Ph.D. in Computer Science, 2024
University of California, Merced
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M.Sc in Building Science, 2020
Carnegie Mellon University
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B.Eng in Mechanical Engineering, 2018
Southwest Jiaotong University
Experience
Applied Scientist II
Amazon Inc.
Multi-lingual multi-modal large language models for billions of data.
Research Data Scientist II
Microsoft AI
Multi-agent spatial intellegence and open-world visual language reasoning. Core contributor of Microsoft Copilots’s spatial QA function.
Ph.D. Researcher
University of California, Merced
Work in following areas:
- Physics-informed multimodal sensing and learning algorithms.
- Causal inference for deep learning bias reduction.
- Smart healthcare with heterogeneous Internet of Things(IoT) systems.
- Representation learning and transfer learning algorithms.
Recent Publications
Quickly discover relevant content by filtering publications.
(2025).
A Survey of Foundation Models for IoT: Taxonomy and Criteria-Based Analysis.
CCF Transactions on Pervasive Computing and Interaction.
(2025).
Mitigating Sensor Data Bias from User Operational Variability via Causal Intervention.
HumanSys 2025.
(2024).
GraPhy: Graph-Based Physics-Guided Urban Air Quality Modeling for Monitoring-Constrained Regions.
BuildSys 2024.
(2024).
De-noised Vision-language Fusion Guided by Visual Cues for E-commerce Product Search.
2024 IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) Workshops.
(2024).
IOTeeth: Intra-Oral Teeth Sensing System for Dental Occlusal Diseases Recognition.
IMWUT 2024.
(2023).
ProVLA: Compositional Image Search with Progressive Vision-language Alignment and Multimodal Fusion.
2023 IEEE/CVF International Conference on Computer Vision (ICCV) Workshops.
(2023).
CMA: Cross-Modal Association Between Wearable and Structural Vibration Signal Segments for Indoor Occupant Sensing.
IPSN 2023.
(2023).
Poster: Integrating On- and Off-body Sensing for Young Adults Failure to Launch (FTL) Behavior Profiling.
IPSN 2023.
(2022).
CIPhy: Causal Intervention with Physical Confounder from IoT Sensor Data for Robust Occupant Information Inference.
SenSys 2022 AIoT Workshop.
(2022).
MODES: multi-sensor occupancy data-driven estimation system for smart buildings.
ACM e-Energy.
(2022).
VMA: Domain Variance- and Modality-Aware Model Transfer for Fine-Grained Occupant Activity Recognition.
IPSN 2022.
(2022).
Poster: Sedentary Posture Muscle Monitoring via Active Vibratory Sensing.
IPSN 2022 (Best Poster Award).
(2022).
Demo: Real-Time Teeth Functional Occlusion Monitoring via In-Mouth Vibration Sensing.
IPSN 2022.
(2021).
AutoQual: task-oriented structural vibration sensing quality assessment leveraging co-located mobile sensing context.
CCF Transactions on Pervasive Computing and Interaction.
(2021).
Footstep-Induced Floor Vibration Dataset: Reusability and Transferability Analysis.
SenSys 2021 DATA Workshop.
(2021).
Poster: Vibration-based Indoor Occupant Gait Monitoring with Robot Vacuum Cleaners.
IoTDI 2021.
(2021).
Vibration-based indoor human sensing quality reinforcement via Thompson sampling.
Proceedings of the First International Workshop on Cyber-Physical-Human System Design and Implementation.
(2020).
A window-based sequence-to-one approach with dynamic voting for nurse care activity recognition using acceleration-based wearable sensor.
UbiComp/ISWC 2020 Workshop(Best Paper Award).
(2020).
Fine-grained activities recognition with coarse-grained labeled multi-modal data.
UbiComp/ISWC 2020 CML-IoT Workshop.
(2020).
Improving the Interoperability of gbXML Data Model through Redefining Data Mapping Rules of HVAC Systems.
ASHRAE Transactions.
(2019).
Device-free sleep stage recognition through bed frame vibration sensing.
BuildSys 2019 DFHS Workshop.