Global-aware Beam Search for Neural Abstractive Summarization. - Ye Ma; Zixun Lan; Lu Zong; Kaizhu Huang (NeurIPS, 2021)

Sub-GMN: The Subgraph Matching Network Model. - Zixun Lan; Limin Yu; Linglong Yuan; Zili Wu; Qiang Niu; Fei Ma 002 (CoRR, 2021)

More Interpretable Graph Similarity Computation via Maximum Common Subgraph Inference. - Zixun Lan; Binjie Hong; Ye Ma; Fei Ma (CoRR, 2022)

Sub-GMN: The Neural Subgraph Matching Network Model. - Zixun Lan; Limin Yu; Linglong Yuan; Zili Wu; Qiang Niu; Fei Ma 002 (CISP-BMEI, 2023)

Single-step Retrosynthesis via Reaction Center and Leaving Groups Prediction. - Jiajun Zhu; Binjie Hong; Zixun Lan; Fei Ma (CISP-BMEI, 2023)

RCsearcher: Reaction Center Identification in Retrosynthesis via Deep Q-Learning. - Zixun Lan; Zuo Zeng; Binjie Hong; Zhenfu Liu; Fei Ma (CoRR, 2023)

Use neural networks to recognize students' handwritten letters and incorrect symbols. - Jiajun Zhu; Zichuan Yang; Binjie Hong; Jiacheng Song; Jiwei Wang; Tianhao Chen; Shuilan Yang; Zixun Lan; Fei Ma (CoRR, 2023)

AEDNet: Adaptive Edge-Deleting Network For Subgraph Matching. - Zixun Lan; Ye Ma; Limin Yu; Linglong Yuan; Fei Ma 002 (Pattern Recognit., 2023)

Retrosynthesis Prediction via Search in (Hyper) Graph. - Zixun Lan; Binjie Hong; Jiajun Zhu; Zuo Zeng; Zhenfu Liu; Limin Yu; Fei Ma 002 (CoRR, 2024)

RCsearcher: Reaction center identification in retrosynthesis via deep Q-learning. - Zixun Lan; Zuo Zeng; Binjie Hong; Zhenfu Liu; Fei Ma 002 (Pattern Recognit., 2024)

More Interpretable Graph Similarity Computation via Maximum Common Subgraph Inference. - Zixun Lan; Binjie Hong; Ye Ma; Fei Ma 002 (IEEE Trans. Knowl. Data Eng., 2024)

Retrosynthesis Prediction via Search in (Hyper) Graph. - Zixun Lan; Binjie Hong; Maochun Xu; Zuo Zeng; Zhenfu Liu; Limin Yu; Fei Ma 002 (IEEE Trans Autom. Sci. Eng., 2025)