Zhong-Yi Lu

According to our database, Zhong-Yi Lu authored at least 19 papers between 2014 and 2025.

Collaborative distances:

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

2025

Perovskite-R1: A Domain-Specialized LLM for Intelligent Discovery of Precursor Additives and Experimental Design.

Xin-De Wang, Zhi-Rui Chen, Peng-Jie Guo, Ze-Feng Gao, Cheng Mu, Zhong-Yi Lu

CoRR, July, 2025

HTSC-2025: A Benchmark Dataset of Ambient-Pressure High-Temperature Superconductors for AI-Driven Critical Temperature Prediction.

Xiao-Qi Han, Ze-Feng Gao, Xin-De Wang, Zhenfeng Ouyang, Peng-Jie Guo, Zhong-Yi Lu

CoRR, June, 2025

InvDesFlow-AL: Active Learning-based Workflow for Inverse Design of Functional Materials.

Xiao-Qi Han, Peng-Jie Guo, Ze-Feng Gao, Hao Sun, Zhong-Yi Lu

CoRR, May, 2025

Generalized Lanczos method for systematic optimization of neural-network quantum states.

Jia-Qi Wang, Rong-Qiang He, Zhong-Yi Lu

CoRR, February, 2025

Strong phonon-mediated high temperature superconductivity in Li₂AuH₆ under ambient pressure.

Zhenfeng Ouyang, Bo-Wen Yao, Xiao-Qi Han, Peng-Jie Guo, Ze-Feng Gao, Zhong-Yi Lu

CoRR, January, 2025

2024

AI-driven inverse design of materials: Past, present and future.

Xiao-Qi Han, Xin-De Wang, Meng-Yuan Xu, Zhen Feng, Bo-Wen Yao, Peng-Jie Guo, Ze-Feng Gao, Zhong-Yi Lu

CoRR, 2024

AI-accelerated discovery of high critical temperature superconductors.

Xiao-Qi Han, Zhenfeng Ouyang, Peng-Jie Guo, Hao Sun, Ze-Feng Gao, Zhong-Yi Lu

CoRR, 2024

Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation.

Yu-Liang Zhan, Zhong-Yi Lu, Hao Sun, Ze-Feng Gao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Compression Image Dataset Based on Multiple Matrix Product States.

Ze-Feng Gao, Peiyu Liu, Wayne Xin Zhao, Zhi-Yuan Xie, Ji-Rong Wen, Zhong-Yi Lu

Proceedings of the Advances in Information and Communication, 2024

2023

AI-accelerated Discovery of Altermagnetic Materials.

Ze-Feng Gao, Shuai Qu, Bocheng Zeng, Yang Liu, Ji-Rong Wen, Hao Sun, Peng-Jie Guo, Zhong-Yi Lu

CoRR, 2023

Variational optimization of the amplitude of neural-network quantum many-body ground states.

Jia-Qi Wang, Rong-Qiang He, Zhong-Yi Lu

CoRR, 2023

2022

A simple framework for contrastive learning phases of matter.

Xiao-Qi Han, Sheng-Song Xu, Zhen Feng, Rong-Qiang He, Zhong-Yi Lu

CoRR, 2022

Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models.

Ze-Feng Gao, Peiyu Liu, Wayne Xin Zhao, Zhong-Yi Lu, Ji-Rong Wen

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators.

Peiyu Liu, Ze-Feng Gao, Wayne Xin Zhao, Zhi-Yuan Xie, Zhong-Yi Lu, Ji-Rong Wen

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

A Model Compression Method With Matrix Product Operators for Speech Enhancement.

Xingwei Sun, Ze-Feng Gao, Zhong-Yi Lu, Junfeng Li, Yonghong Yan

IEEE ACM Trans. Audio Speech Lang. Process., 2020

Compressing LSTM Networks by Matrix Product Operators.

Ze-Feng Gao, Xingwei Sun, Lan Gao, Junfeng Li, Zhong-Yi Lu

CoRR, 2020

2019

Compressing deep neural networks by matrix product operators.

Ze-Feng Gao, Song Cheng, Rong-Qiang He, Zhi-Yuan Xie, Hui-Hai Zhao, Zhong-Yi Lu, Tao Xiang

CoRR, 2019

2016

Accelerating optimization by tracing valley.

Qing-Xiao Li, Rong-Qiang He, Zhong-Yi Lu

Comput. Phys. Commun., 2016

2014

Electronic transport of a large scale system studied by renormalized transfer matrix method: Application to armchair graphene nanoribbons between quantum wires.

Miao Gao, Gui-Ping Zhang, Zhong-Yi Lu

Comput. Phys. Commun., 2014