Zheng Lin — Papers on Cortexa

arxivcs.ROcs.NI2026-07-11

Large Language Model Enhanced Differentiable Trajectory Planning for IoT-Enabled Autonomous Driving

Shihao Zhang, Jing Yang, Ziyu Song, Zheng Lin, Sunil Prajapat, Zhaochen Xia, et al.

Autonomous driving planning is a key component of IoT-enabled intelligent transportation systems, requiring vehicles to generate safe, efficient, and executable trajectories in complex urban environments from multi-source contextual information. While imitation learning (IL) has…

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arxivcs.CVcs.IR2026-07-03

Beyond Post-Quantization: Native Hash Learning with a Dedicated HASH Token

Xinze Liu, Ding Wang, Dayan Wu, Hengjie Zhu, Peng Fu, Zheng Lin, et al.

Efficient large-scale image retrieval requires compact representations that preserve semantic similarity under fast Hamming-space search. Deep hashing is appealing, but most existing CNN- and ViT-based methods still follow a post-quantization paradigm, where continuous visual fea…

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