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Chengfei Lv

Orcid: 0009-0000-4918-7425

According to our database¹, Chengfei Lv authored at least 43 papers between 2019 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

Hera: Learning Long-Horizon Coordination for Device-Cloud Collaborative LLM Agents.

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CoRR, May, 2026

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation.

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CoRR, May, 2026

RetentiveKV: State-Space Memory for Uncertainty-Aware Multimodal KV Cache Eviction.

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CoRR, May, 2026

Multiple Consistent 2D-3D Mappings for Robust Zero-Shot 3D Visual Grounding.

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CoRR, April, 2026

Semantic Trimming and Auxiliary Multi-step Prediction for Generative Recommendation.

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CoRR, April, 2026

FHAvatar: Fast and High-Fidelity Reconstruction of Face-and-Hair Composable 3D Head Avatar from Few Casual Captures.

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CoRR, March, 2026

MobileKernelBench: Can LLMs Write Efficient Kernels for Mobile Devices?

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Syed A. R. Abu-Bakar

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CoRR, March, 2026

AccKV: Towards Efficient Audio-Video LLMs Inference via Adaptive-Focusing and Cross-Calibration KV Cache Optimization.

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

ARSys: An Efficient and Cross-Platform Development, Deployment, and Runtime System for Mobile Augmented Reality.

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IEEE Trans. Mob. Comput., November, 2025

FlowMM: Cross-Modal Information Flow Guided KV Cache Merging for Efficient Multimodal Context Inference.

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CoRR, November, 2025

GlossyGS: Inverse Rendering of Glossy Objects With 3D Gaussian Splatting.

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IEEE Trans. Vis. Comput. Graph., October, 2025

Learning an Efficient Multi-Turn Dialogue Evaluator from Multiple Judges.

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CoRR, August, 2025

MNN-AECS: Energy Optimization for LLM Decoding on Mobile Devices via Adaptive Core Selection.

[DOI]

Zhengxiang Huang

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CoRR, June, 2025

Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions.

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Zhengxiang Huang

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CoRR, April, 2025

HRM^2Avatar: High-Fidelity Real-Time Mobile Avatars from Monocular Phone Scans.

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Proceedings of the SIGGRAPH Asia 2025 Conference Papers, 2025

ExpTalk: Diverse Emotional Expression via Adaptive Disentanglement and Refined Alignment for Speech-Driven 3D Facial Animation.

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Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

EcoFace: Audio-Visual Emotional Co-Disentanglement Speech-Driven 3D Talking Face Generation.

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Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SaMer: A Scenario-aware Multi-dimensional Evaluator for Large Language Models.

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Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Panorama Generation From NFoV Image Done Right.

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

SpatialDreamer: Self-supervised Stereo Video Synthesis from Monocular Input.

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Congzhentao Huang

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

TaoAvatar: Real-Time Lifelike Full-Body Talking Avatars for Augmented Reality via 3D Gaussian Splatting.

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Querier-Aware LLM: Generating Personalized Responses to the Same Query from Different Queriers.

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Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

MadaKV: Adaptive Modality-Perception KV Cache Eviction for Efficient Multimodal Long-Context Inference.

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Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Personalized LLM for Generating Customized Responses to the Same Query from Different Users.

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CoRR, 2024

AUTOACT: Automatic Agent Learning from Scratch via Self-Planning.

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Wangchunshu Zhou

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Yuchen Eleanor Jiang

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CoRR, 2024

Making Language Models Better Tool Learners with Execution Feedback.

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Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

An End-to-End, Low-Cost, and High-Fidelity 3D Video Pipeline for Mobile Devices.

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Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices.

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Proceedings of the 6th ACM International Conference on Multimedia in Asia, Workshops, 2024

GaussianTalker: Speaker-specific Talking Head Synthesis via 3D Gaussian Splatting.

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Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

BiKT: Enabling Bidirectional Knowledge Transfer Between Pretrained Models and Sequential Downstream Tasks.

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

IntrinsicAnything: Learning Diffusion Priors for Inverse Rendering Under Unknown Illumination.

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Proceedings of the Computer Vision - ECCV 2024, 2024

MPOD123: One Image to 3D Content Generation Using Mask-Enhanced Progressive Outline-to-Detail Optimization.

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning.

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Wangchunshu Zhou

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Yuchen Eleanor Jiang

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Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

FactCHD: Benchmarking Fact-Conflicting Hallucination Detection.

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CoRR, 2023

NeuDA: Neural Deformable Anchor for High-Fidelity Implicit Surface Reconstruction.

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning.

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Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, 2022

2021

Federated Submodel Averaging.

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CoRR, 2021

Data-Free Evaluation of User Contributions in Federated Learning.

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Proceedings of the 19th International Symposium on Modeling and Optimization in Mobile, 2021

2020

Toward Understanding the Influence of Individual Clients in Federated Learning.

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CoRR, 2020

INT8 Winograd Acceleration for Conv1D Equipped ASR Models Deployed on Mobile Devices.

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CoRR, 2020

MNN: A Universal and Efficient Inference Engine.

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CoRR, 2020

Billion-scale federated learning on mobile clients: a submodel design with tunable privacy.

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Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020

2019

Secure Federated Submodel Learning.

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CoRR, 2019

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