RESEARCH OUTPUT

Publications

A selected list of research papers and workshop honors in embodied AI, vision-language-action systems, and low-light image enhancement.

7 records2 main-track papers3 workshop honors

Records cross-checked against DBLP, arXiv, and CVF Open Access. CCF-A · CORE A* badges are shown for main-track ICML/CVPR venues; TCSVT is marked CCF-B; workshops and preprints are left unranked.

See What Matters: Differentiable Grid Sample Pruning for Generalizable Vision-Language-Action Model

Yixu Feng, Zinan Zhao, Yanxiang Ma, Chenghao Xia, Chengbin Du, Yunke Wang, Chang Xu

ICML 2026 CCF-A · CORE A* · First author · Accepted

A plug-and-play differentiable grid sampler for VLA models. With only 16 visual tokens it reduces VLA FLOPs by about 76%, while improving LIBERO success and real-robot performance.

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HVI: A New Color Space for Low-light Image Enhancement

Qingsen Yan, Yixu Feng, Cheng Zhang, Guansong Pang, Kangbiao Shi, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang

CVPR 2025 CCF-A · CORE A* · Co-first author · 共同一作

Introduces the HVI color space and CIDNet, a lightweight color-intensity decoupling network for robust low-light enhancement.

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FusionNet: Multi-model Linear Fusion Framework for Low-light Image Enhancement

Kangbiao Shi, Yixu Feng, Tao Hu, Yu Cao, Peng Wu, Yijin Liang, Yanning Zhang, Qingsen Yan

CVPR Workshops 2025 (NTIRE) · Co-first author · 共同一作 · NTIRE 2025 champion

A training-free linear fusion framework combining complementary enhancement models; ranked first in the CVPR 2025 NTIRE low-light enhancement track.

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DiffLight: Integrating Content and Detail for Low-light Image Enhancement

Yixu Feng, Shuo Hou, Haotian Lin, Yu Zhu, Peng Wu, Wei Dong, Jinqiu Sun, Qingsen Yan, Yanning Zhang

CVPR Workshops 2024 (NTIRE) · First author · NTIRE 2024 · Oral · 4th place

A dual-branch enhancement pipeline with progressive patch fusion for preserving details and reducing block artifacts in UHD images.

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Flow-Guided Deformable Alignment with Channel-wise Self-Attention Reconstruct for Efficient Burst HDR Restoration

Weiyu Zhou, Tao Hu, Yixu Feng, Duwei Dai, Yu Cao, Peng Wu, Wei Dong, Yanning Zhang, Qingsen Yan

CVPR Workshops 2025 (NTIRE) · NTIRE 2025 · 2nd place · Burst HDR restoration

An alignment-centric burst HDR restoration model that improves motion alignment while keeping feature fusion lightweight and efficient.

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HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement

Qingsen Yan, Kangbiao Shi, Yixu Feng, Tao Hu, Peng Wu, Guansong Pang, Yanning Zhang

IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) CCF-B · Co-author · Journal paper

Extends HVI-CIDNet with a stronger enhancement pipeline for severely underexposed scenes.

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You Only Need One Color Space: An Efficient Network for Low-light Image Enhancement

Yixu Feng, Cheng Zhang, Pei Wang, Peng Wu, Qingsen Yan, Yanning Zhang

arXiv preprint · First author · 2024

Introduces a trainable HVI color space and CIDNet to stabilize low-light enhancement under noisy illumination conditions.

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