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Mingkang Li

3 accepted papers

2026

Pretraining with Re-parametrized Self-Attention: Unlocking Generalizationin SNN-Based Neural Decoding Across Time, Brains, and Tasks

ICLR 2026poster

The emergence of large-scale neural activity datasets provides new opportunities to enhance the generalization of neural decoding models. However, it remains a practical challenge to design neural decoders for fully implantable brain-machine interfaces (iBMIs) that achieve high accuracy, strong gene…

Cited by 0SourcecodeScholar
2023

Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style

CVPR 2023highlight

This paper studies the problem of zero-short sketch-based image retrieval (ZS-SBIR), however with two significant differentiators to prior art (i) we tackle all variants (inter-category, intra-category, and cross datasets) of ZS-SBIR with just one network ("everything"), and (ii) we would really lik…

2021

SketchLattice: Latticed Representation for Sketch Manipulation

ICCV 2021poster

The key challenge in designing a sketch representation lies with handling the abstract and iconic nature of sketches. Existing work predominantly utilizes either, (i) a pixelative format that treats sketches as natural images employing off-the-shelf CNN-based networks, or (ii) an elaborately designe…

Cited by 24PDFScholar