On Size-Oriented Long-Tailed Graph Classification of Graph Neural Networks. - Zemin Liu; Qiheng Mao; Chenghao Liu; Yuan Fang 001; Jianling Sun (WWW, 2022)

HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer. - Qiheng Mao; Zemin Liu; Chenghao Liu; Jianling Sun (WWW, 2023)

ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt. - Mouxiang Chen; Zemin Liu; Chenghao Liu; Jundong Li; Qiheng Mao; Jianling Sun (CoRR, 2023)

Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques. - Qiheng Mao; Zemin Liu; Chenghao Liu; Zhuo Li; Jianling Sun (CoRR, 2024)

Towards Effectively Detecting and Explaining Vulnerabilities Using Large Language Models. - Qiheng Mao; Zhenhao Li 002; Xing Hu 008; Kui Liu 001; Xin Xia 001; Jianling Sun (CoRR, 2024)

Studying Practitioners' Expectations on Clear Code Review Comments. - Zhenhao Li 002; Junkai Chen; Qiheng Mao; Xing Hu 008; Kui Liu 001; Xin Xia 001 (CoRR, 2024)

Understanding Practitioners' Expectations on Clear Code Review Comments. - Junkai Chen; Zhenhao Li 002; Qiheng Mao; Xing Hu 008; Kui Liu 001; Xin Xia 001 (Proc. ACM Softw. Eng., 2025)