Zhong-Yi Lu

25 papers A* 1B 1Journal 21Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enabling efficient low-bit quantization based on matrix product operators for KV cache compression.
Neural Networks
Jia-Qi Wang, Xiao-Qi Han, Peng-Jie Guo, Rong-Qiang He, Ze-Feng Gao, Zhong-Yi Lu
2025 J jnl
Generalized Lanczos method for systematic optimization of neural-network quantum states.
CoRR
Jia-Qi Wang, Rong-Qiang He, Zhong-Yi Lu
2025 J jnl
HTSC-2025: A Benchmark Dataset of Ambient-Pressure High-Temperature Superconductors for AI-Driven Critical Temperature Prediction.
CoRR
Xiao-Qi Han, Ze-Feng Gao, Xin-De Wang, Zhenfeng Ouyang, Peng-Jie Guo, Zhong-Yi Lu
2025 J jnl
InvDesFlow-AL: Active Learning-based Workflow for Inverse Design of Functional Materials.
CoRR
Xiao-Qi Han, Peng-Jie Guo, Ze-Feng Gao, Hao Sun, Zhong-Yi Lu
2025 J jnl
Perovskite-R1: A Domain-Specialized LLM for Intelligent Discovery of Precursor Additives and Experimental Design.
CoRR
Xin-De Wang, Zhi-Rui Chen, Peng-Jie Guo, Ze-Feng Gao, Cheng Mu, Zhong-Yi Lu
2025 J jnl
PhononBench:A Large-Scale Phonon-Based Benchmark for Dynamical Stability in Crystal Generation.
CoRR
Xiao-Qi Han, Peng-Jie Guo, Ze-Feng Gao, Zhong-Yi Lu
2025 J jnl
Strong phonon-mediated high temperature superconductivity in Li
CoRR
Zhenfeng Ouyang, Bo-Wen Yao, Xiao-Qi Han, Peng-Jie Guo, Ze-Feng Gao, Zhong-Yi Lu
2024 J jnl
AI-accelerated discovery of high critical temperature superconductors.
CoRR
Xiao-Qi Han, Zhenfeng Ouyang, Peng-Jie Guo, Hao Sun, Ze-Feng Gao, Zhong-Yi Lu
2024 J jnl
AI-driven inverse design of materials: Past, present and future.
CoRR
Xiao-Qi Han, Xin-De Wang, Meng-Yuan Xu, Zhen Feng, Bo-Wen Yao, Peng-Jie Guo, Ze-Feng Gao, Zhong-Yi Lu
2024 — conf
Compression Image Dataset Based on Multiple Matrix Product States.
FICC (2)
Ze-Feng Gao, Peiyu Liu, Wayne Xin Zhao, Zhi-Yuan Xie, Ji-Rong Wen, Zhong-Yi Lu
2024 A* conf
Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation.
NeurIPS
Yu-Liang Zhan, Zhong-Yi Lu, Hao Sun, Ze-Feng Gao
2024 J jnl
Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation.
CoRR
Yu-Liang Zhan, Zhong-Yi Lu, Hao Sun, Ze-Feng Gao
2023 J jnl
AI-accelerated Discovery of Altermagnetic Materials.
CoRR
Ze-Feng Gao, Shuai Qu, Bocheng Zeng, Yang Liu, Ji-Rong Wen, Hao Sun, Peng-Jie Guo, Zhong-Yi Lu
2023 J jnl
Variational optimization of the amplitude of neural-network quantum many-body ground states.
CoRR
Jia-Qi Wang, Rong-Qiang He, Zhong-Yi Lu
2022 J jnl
A simple framework for contrastive learning phases of matter.
CoRR
Xiao-Qi Han, Sheng-Song Xu, Zhen Feng, Rong-Qiang He, Zhong-Yi Lu
2022 B conf
Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models.
COLING
Ze-Feng Gao, Peiyu Liu, Wayne Xin Zhao, Zhong-Yi Lu, Ji-Rong Wen
2022 J jnl
Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models.
CoRR
Ze-Feng Gao, Peiyu Liu, Wayne Xin Zhao, Zhong-Yi Lu, Ji-Rong Wen
2021 — conf
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators.
ACL/IJCNLP (1)
Peiyu Liu, Ze-Feng Gao, Wayne Xin Zhao, Zhi-Yuan Xie, Zhong-Yi Lu, Ji-Rong Wen
2021 J jnl
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators.
CoRR
Peiyu Liu, Ze-Feng Gao, Wayne Xin Zhao, Zhi-Yuan Xie, Zhong-Yi Lu, Ji-Rong Wen
2020 J jnl
A Model Compression Method With Matrix Product Operators for Speech Enhancement.
IEEE ACM Trans. Audio Speech Lang. Process.
Xingwei Sun, Ze-Feng Gao, Zhong-Yi Lu, Junfeng Li, Yonghong Yan
2020 J jnl
A Model Compression Method with Matrix Product Operators for Speech Enhancement.
CoRR
Xingwei Sun, Ze-Feng Gao, Zhong-Yi Lu, Junfeng Li, Yonghong Yan
2020 J jnl
Compressing LSTM Networks by Matrix Product Operators.
CoRR
Ze-Feng Gao, Xingwei Sun, Lan Gao, Junfeng Li, Zhong-Yi Lu
2019 J jnl
Compressing deep neural networks by matrix product operators.
CoRR
Ze-Feng Gao, Song Cheng, Rong-Qiang He, Zhi-Yuan Xie, Hui-Hai Zhao, Zhong-Yi Lu, Tao Xiang
2016 J jnl
Accelerating optimization by tracing valley.
Comput. Phys. Commun.
Qing-Xiao Li, Rong-Qiang He, Zhong-Yi Lu
2014 J jnl
Electronic transport of a large scale system studied by renormalized transfer matrix method: Application to armchair graphene nanoribbons between quantum wires.
Comput. Phys. Commun.
Miao Gao, Gui-Ping Zhang, Zhong-Yi Lu