Yuanchun Li

Orcid: 0000-0002-1591-2526

According to our database1, Yuanchun Li authored at least 19 papers between 2023 and 2025.

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

Timeline

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Bibliography

2025
Efficient and Adaptive Diffusion Model Inference Through Lookup Table on Mobile Devices.
IEEE Trans. Mob. Comput., September, 2025

Serving MoE Models on Resource-Constrained Edge Devices via Dynamic Expert Swapping.
IEEE Trans. Computers, August, 2025

Anatomizing Deep Learning Inference in Web Browsers.
ACM Trans. Softw. Eng. Methodol., February, 2025

AutoDroid-V2: Boosting SLM-based GUI Agents via Code Generation.
Proceedings of the 23rd Annual International Conference on Mobile Systems, 2025

Empower Vision Applications with LoRA LMM.
Proceedings of the Twentieth European Conference on Computer Systems, 2025

2024
CamoNet: On-Device Neural Network Adaptation With Zero Interaction and Unlabeled Data for Diverse Edge Environments.
IEEE Trans. Mob. Comput., December, 2024

HiMoDepth: Efficient Training-Free High-Resolution On-Device Depth Perception.
IEEE Trans. Mob. Comput., May, 2024

Towards Energy-efficient Federated Learning via INT8-based Training on Mobile DSPs.
Proceedings of the ACM on Web Conference 2024, 2024

LlamaTouch: A Faithful and Scalable Testbed for Mobile UI Task Automation.
Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, 2024

Empowering In-Browser Deep Learning Inference on Edge Through Just-In-Time Kernel Optimization.
Proceedings of the 22nd Annual International Conference on Mobile Systems, 2024

Poster: Enabling Agent-centric Interaction on Smartphones with LLM-based UI Reassembling.
Proceedings of the 22nd Annual International Conference on Mobile Systems, 2024

AutoDroid: LLM-powered Task Automation in Android.
Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

A First Look At Efficient And Secure On-Device LLM Inference Against KV Leakage.
Proceedings of the 19th Workshop on Mobility in the Evolving Internet Architecture, 2024

WiP: An On-device LLM-based Approach to Query Privacy Protection.
Proceedings of the Workshop on Edge and Mobile Foundation Models, 2024

ChainStream: A Stream-based LLM Agent Framework for Continuous Context Sensing and Sharing.
Proceedings of the Workshop on Edge and Mobile Foundation Models, 2024

2023
PatchCensor: Patch Robustness Certification for Transformers via Exhaustive Testing.
ACM Trans. Softw. Eng. Methodol., November, 2023

ConvReLU++: Reference-based Lossless Acceleration of Conv-ReLU Operations on Mobile CPU.
Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments.
Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

PatchBackdoor: Backdoor Attack against Deep Neural Networks without Model Modification.
Proceedings of the 31st ACM International Conference on Multimedia, 2023


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