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Zhong-Yi Lu

Orcid: 0000-0001-8866-3180

According to our database¹, Zhong-Yi Lu authored at least 23 papers between 2014 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

LEAP: A closed-loop framework for perovskite precursor additive discovery.

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CoRR, May, 2026

Strategic Over-Parameterization for Generalizable Low-Rank Adaptation.

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CoRR, May, 2026

Enabling efficient low-bit quantization based on matrix product operators for KV cache compression.

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Neural Networks, 2026

2025

PhononBench:A Large-Scale Phonon-Based Benchmark for Dynamical Stability in Crystal Generation.

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CoRR, December, 2025

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

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CoRR, July, 2025

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

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Zhenfeng Ouyang

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CoRR, June, 2025

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

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CoRR, May, 2025

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

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CoRR, February, 2025

Strong phonon-mediated high temperature superconductivity in Li<sub>2</sub>AuH<sub>6</sub> under ambient pressure.

[DOI]

Zhenfeng Ouyang

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CoRR, January, 2025

2024

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

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CoRR, 2024

AI-accelerated discovery of high critical temperature superconductors.

[DOI]

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Zhenfeng Ouyang

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CoRR, 2024

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

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Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Compression Image Dataset Based on Multiple Matrix Product States.

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Proceedings of the Advances in Information and Communication, 2024

2023

AI-accelerated Discovery of Altermagnetic Materials.

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CoRR, 2023

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

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CoRR, 2023

2022

A simple framework for contrastive learning phases of matter.

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CoRR, 2022

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

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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.

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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.

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

Compressing LSTM Networks by Matrix Product Operators.

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CoRR, 2020

2019

Compressing deep neural networks by matrix product operators.

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CoRR, 2019

2016

Accelerating optimization by tracing valley.

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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.

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Comput. Phys. Commun., 2014

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