Xiao-Qi Han

According to our database, Xiao-Qi Han authored at least 8 papers between 2022 and 2026.

Collaborative distances:

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

2026

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

Jia-Qi Wang, Xiao-Qi Han, Peng-Jie Guo, Rong-Qiang He, Ze-Feng Gao, Zhong-Yi Lu

Neural Networks, 2026

2025

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

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

CoRR, December, 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

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

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