Jialin Zhao

According to our database, Jialin Zhao authored at least 6 papers between 2021 and 2025.

Collaborative distances:

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

2025

Brain-inspired sparse training enables Transformers and LLMs to perform as fully connected.

Yingtao Zhang, Jialin Zhao, Wenjing Wu, Ziheng Liao, Umberto Michieli, Carlo Vittorio Cannistraci

CoRR, January, 2025

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models.

Jialin Zhao, Yingtao Zhang, Carlo Vittorio Cannistraci

CoRR, January, 2025

2024

Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks.

Jialin Zhao, Yingtao Zhang, Xinghang Li, Huaping Liu, Carlo Vittorio Cannistraci

CoRR, 2024

Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models.

Yingtao Zhang, Haoli Bai, Haokun Lin, Jialin Zhao, Lu Hou, Carlo Vittorio Cannistraci

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Epitopological learning and Cannistraci-Hebb network shape intelligence brain-inspired theory for ultra-sparse advantage in deep learning.

Yingtao Zhang, Jialin Zhao, Wenjing Wu, Alessandro Muscoloni, Carlo Vittorio Cannistraci

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2021

Adaptive Diffusion in Graph Neural Networks.

Jialin Zhao, Yuxiao Dong, Ming Ding, Evgeny Kharlamov, Jie Tang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021