Scholar
Chaoyue Niu
Google Scholar ID: SHb5q08AAAAJ
Shanghai Jiao Tong University
Device-Cloud ML
On-Device Intelligence
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Citations & Impact
All-time
Citations
1,011
H-index
17
i10-index
20
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
13 items
Bridging Time and Space: Decoupled Spatio-Temporal Alignment for Video Grounding
2026
Cited
0
FHAvatar: Fast and High-Fidelity Reconstruction of Face-and-Hair Composable 3D Head Avatar from Few Casual Captures
2026
Cited
0
VIAFormer: Voxel-Image Alignment Transformer for High-Fidelity Voxel Refinement
2026
Cited
0
CORE: Reducing UI Exposure in Mobile Agents via Collaboration Between Cloud and Local LLMs
2025
Cited
0
HRM^2Avatar: High-Fidelity Real-Time Mobile Avatars from Monocular Phone Scans
2025
Cited
0
Estimating Respiratory Effort from Nocturnal Breathing Sounds for Obstructive Sleep Apnoea Screening
2025
Cited
0
MNN-AECS: Energy Optimization for LLM Decoding on Mobile Devices via Adaptive Core Selection
2025
Cited
0
Query Routing for Retrieval-Augmented Language Models
2025
Cited
0
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Resume (English only)
Academic Achievements
Published numerous papers in the field of machine learning and artificial intelligence, including:
- HRM^2Avatar: High-Fidelity Real-Time Mobile Avatars from Monocular Phone Scans
- CORE: Reducing UI Exposure in Mobile Agents via Collaboration Between Cloud and Local LLMs
- Query Routing for Retrieval-Augmented Language Models
- Personalized LLM for Generating Customized Responses to the Same Query from Different Users
- Federated multi-task learning with cross-device heterogeneous task subsets
- Personalized Language Model Learning on Text Data Without User Identifiers
- ARSys: An Efficient and Cross-Platform Development, Deployment, and Runtime System for Mobile Augmented Reality
- CEFSW'25: The 2nd Collaboration and Evolution of Foundation and Specialized Models Workshop
- MNN-AECS: Energy Optimization for LLM Decoding on Mobile Devices via Adaptive Core Selection
- Automated Privacy Information Annotation in Large Language Model Interactions
- Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions
- Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model
- Picking Models for Heterogeneous Clients: A Server-Client Feature Contrastive Learning Design
- An End-to-End, Low-Cost, and High-Fidelity 3D Video Pipeline for Mobile Devices
Research Experience
Involved in multiple research projects related to machine learning and artificial intelligence.
Education
Shanghai Jiao Tong University - Specific degree, advisor, and time information not provided.
Background
Research interests include Device-Cloud ML, On-Device Intelligence, etc.
Miscellany
Homepage link: https://skylerhallinan.com/
Co-authors
0 total
Co-authors: 0 (list not available)
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