Jiachen Zhu

According to our database, Jiachen Zhu authored at least 9 papers between 2022 and 2026.

Collaborative distances:

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

2026

The Spike, the Sparse and the Sink: Anatomy of Massive Activations and Attention Sinks.

Shangwen Sun, Alfredo Canziani, Yann LeCun, Jiachen Zhu

CoRR, March, 2026

2025

Stronger Normalization-Free Transformers.

Mingzhi Chen, Taiming Lu, Jiachen Zhu, Mingjie Sun, Zhuang Liu

CoRR, December, 2025

MetaMorph: Multimodal Understanding and Generation via Instruction Tuning.

Shengbang Tong, David Fan, Jiachen Zhu, Yunyang Xiong, Xinlei Chen, Koustuv Sinha, Michael Rabbat, Yann LeCun, Saining Xie, Zhuang Liu

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

Scaling Language-Free Visual Representation Learning.

David Fan, Shengbang Tong, Jiachen Zhu, Koustuv Sinha, Zhuang Liu, Xinlei Chen, Michael Rabbat, Nicolas Ballas, Yann LeCun, Amir Bar, Saining Xie

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

Transformers without Normalization.

Jiachen Zhu, Xinlei Chen, Kaiming He, Yann LeCun, Zhuang Liu

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

2023

VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment.

Shraman Pramanick, Li Jing, Sayan Nag, Jiachen Zhu, Hardik Shah, Yann LeCun, Rama Chellappa

Trans. Mach. Learn. Res., 2023

Variance-Covariance Regularization Improves Representation Learning.

Jiachen Zhu, Ravid Shwartz-Ziv, Yubei Chen, Yann LeCun

CoRR, 2023

2022

TiCo: Transformation Invariance and Covariance Contrast for Self-Supervised Visual Representation Learning.

Jiachen Zhu, Rafael M. Moraes, Serkan Karakulak, Vlad Sobol, Alfredo Canziani, Yann LeCun

CoRR, 2022

Masked Siamese ConvNets.

Li Jing, Jiachen Zhu, Yann LeCun

CoRR, 2022