Shaoxuan He

According to our database, Shaoxuan He authored at least 8 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

TC-Padé: Trajectory-Consistent Padé Approximation for Diffusion Acceleration.

Benlei Cui, Shaoxuan He, Bukun Huang, Zhizeng Ye, Yunyun Sun, Longtao Huang, Hui Xue, Yang Yang, Jingqun Tang, Zhou Zhao, Haiwen Hong

CoRR, March, 2026

OmniSparse: Training-Aware Fine-Grained Sparse Attention for Long-Video MLLMs.

Feng Chen, Yefei He, Shaoxuan He, Yuanyu He, Jing Liu, Lequan Lin, Akide Liu, Zhaoyang Li, Jiyuan Zhang, Zhenbang Sun, Bohan Zhuang, Qi Wu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

ZipAR: Parallel Autoregressive Image Generation through Spatial Locality.

Yefei He, Feng Chen, Yuanyu He, Shaoxuan He, Hong Zhou, Kaipeng Zhang, Bohan Zhuang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Neighboring Autoregressive Modeling for Efficient Visual Generation.

Yefei He, Yuanyu He, Shaoxuan He, Feng Chen, Hong Zhou, Kaipeng Zhang, Bohan Zhuang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

SpatialCLIP: Learning 3D-aware Image Representations from Spatially Discriminative Language.

Zehan Wang, Sashuai Zhou, Shaoxuan He, Haifeng Huang, Lihe Yang, Ziang Zhang, Xize Cheng, Shengpeng Ji, Tao Jin, Hengshuang Zhao, Zhou Zhao

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

2024

Cryptanalyzing an Image Encryption Scheme Using Synchronization of Memristor Chaotic Systems.

Shaoxuan He, Hongjiao Yang, Chengqing Li, Xianhui Shen

Int. J. Bifurc. Chaos, September, 2024

ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality.

Yefei He, Feng Chen, Yuanyu He, Shaoxuan He, Hong Zhou, Kaipeng Zhang, Bohan Zhuang

CoRR, 2024

Semantic Codebook Learning for Dynamic Recommendation Models.

Zheqi Lv, Shaoxuan He, Tianyu Zhan, Shengyu Zhang, Wenqiao Zhang, Jingyuan Chen, Zhou Zhao, Fei Wu

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