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Guihong Li

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

13

Venues

6

Active years

2019–2025

Best venue rank

A*

Where they publish

Papers

13 indexed papers, newest first.

YearVenueTitleAuthors
2025CVPRFrom Data to Design: Leveraging Frequency Statistics for Efficient Neural Network Architectures.Mustafa Munir, Guihong Li, Md Mostafijur Rahman, Alex Zhang, Radu Marculescu
2025WACVOnline-LoRA: Task-Free Online Continual Learning via Low Rank Adaptation.Xiwen Wei, Guihong Li, Radu Marculescu
2024CVPRFast-NTK: Parameter-Efficient Unlearning for Large-Scale Models.Guihong Li, Hsiang Hsu, Chun-Fu Richard Chen, Radu Marculescu
2024CVPRCache and Reuse: Rethinking the Efficiency of On-device Transfer Learning.Yuedong Yang, Hung-Yueh Chiang, Guihong Li, Diana Marculescu, Radu Marculescu
2024ICLRDropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation.Hsiang Hsu, Guihong Li, Shaohan Hu, Chun-Fu Chen
2024ICLRMachine Unlearning for Image-to-Image Generative Models.Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu
2023CVPREfficient On-Device Training via Gradient Filtering.Yuedong Yang, Guihong Li, Radu Marculescu
2023ICLRZiCo: Zero-shot NAS via inverse Coefficient of Variation on Gradients.Guihong Li, Yuedong Yang, Kartikeya Bhardwaj, Radu Marculescu
2023ICMLTIPS: Topologically Important Path Sampling for Anytime Neural Networks.Guihong Li, Kartikeya Bhardwaj, Yuedong Yang, Radu Marculescu
2022ISWCAudioIMU: Enhancing Inertial Sensing-Based Activity Recognition with Acoustic Models.Dawei Liang, Guihong Li, Rebecca Adaimi, Radu Marculescu, Edison Thomaz
2021CVPRHow Does Topology Influence Gradient Propagation and Model Performance of Deep Networks With DenseNet-Type Skip Connections?Kartikeya Bhardwaj, Guihong Li, Radu Marculescu
2020CVPRA Hardware Prototype Targeting Distributed Deep Learning for On-device Inference.Allen-Jasmin Farcas, Guihong Li, Kartikeya Bhardwaj, Radu Marculescu
2019ICASSPConcrete: A Per-layer Configurable Framework for Evaluating DNN with Approximate Operators.Zheyu Liu, Guihong Li, Fei Qiao, Qi Wei, Ping Jin, Xinjun Liu, Huazhong Yang