Exploring Experience Activity Potential for Art Therapy to High School Students in International School, Guangzhou, China. - Zhen Liu; Meihan Liu (HCI (22), 2020)

Deep Product Quantization Module for Efficient Image Retrieval. - Meihan Liu; Yongxing Dai; Yan Bai; Ling-Yu Duan (ICASSP, 2020)

Extending Hashing Towards Fast Re-Identification. - Meihan Liu; Yongxing Dai; Shengsen Wu; Yan Bai; Ling-Yu Duan (ICIP, 2020)

Homophily-enhanced Structure Learning for Graph Clustering. - Ming Gu 014; Gaoming Yang; Sheng Zhou 004; Ning Ma; Jiawei Chen 007; Qiaoyu Tan; Meihan Liu; Jiajun Bu (CIKM, 2023)

Rethinking Propagation for Unsupervised Graph Domain Adaptation. - Meihan Liu; Zeyu Fang; Zhen Zhang 023; Ming Gu 014; Sheng Zhou 004; Xin Wang 019; Jiajun Bu (AAAI, 2024)

Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation. - Meihan Liu; Zhen Zhang 023; Jiachen Tang; Jiajun Bu; Bingsheng He; Sheng Zhou 004 (NeurIPS, 2024)

Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation. - Zhen Zhang 023; Meihan Liu; Anhui Wang; Hongyang Chen; Zhao Li 007; Jiajun Bu; Bingsheng He (WWW, 2024)

Universal Inceptive GNNs by Eliminating the Smoothness-generalization Dilemma. - Ming Gu 014; Zhuonan Zheng; Sheng Zhou 004; Meihan Liu; Jiawei Chen 007; Tanyu Qiao; Liangcheng Li; Jiajun Bu (CoRR, 2024)

Structure enhanced prototypical alignment for unsupervised cross-domain node classification. - Meihan Liu; Zhen Zhang 023; Ning Ma; Ming Gu 014; Haishuai Wang; Sheng Zhou 004; Jiajun Bu (Neural Networks, 2024)

Frequency Self-Adaptation Graph Neural Network for Unsupervised Graph Anomaly Detection. - Ming Gu 014; Gaoming Yang; Zhuonan Zheng; Meihan Liu; Haishuai Wang; Jiawei Chen 007; Sheng Zhou 004; Jiajun Bu (Neural Networks, 2025)

PyGDA: A Python Library for Graph Domain Adaptation. - Zhen Zhang 023; Meihan Liu; Bingsheng He (CoRR, 2025)