Failure mode and effects analysis based on D numbers and TOPSIS. - Tian Bian; Haoyang Zheng; Likang Yin; Yong Deng 001 (Qual. Reliab. Eng. Int., 2018)

Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks. - Tian Bian; Xi Xiao; Tingyang Xu; Peilin Zhao; Wenbing Huang 001; Yu Rong 001; Junzhou Huang (AAAI, 2020)

Inverse Graph Identification: Can We Identify Node Labels Given Graph Labels? - Tian Bian; Xi Xiao; Tingyang Xu; Yu Rong 001; Wenbing Huang 001; Peilin Zhao; Junzhou Huang (CoRR, 2020)

PI-GNN: A Novel Perspective on Semi-Supervised Node Classification against Noisy Labels. - Xuefeng Du; Tian Bian; Yu Rong 001; Bo Han 003; Tongliang Liu; Tingyang Xu; Wenbing Huang 001; Junzhou Huang (CoRR, 2021)

Decision Support System for Chronic Diseases Based on Drug-Drug Interactions. - Tian Bian; Yuli Jiang; Jia Li 009; Tingyang Xu; Yu Rong 001; Yi Su; Timothy C. Y. Kwok; Helen Meng; Hong Cheng 001 (ICDE, 2023)

Language Agents for Detecting Implicit Stereotypes in Text-to-image Models at Scale. - Qichao Wang; Tian Bian; Yian Yin; Tingyang Xu; Hong Cheng 001; Helen M. Meng; Zibin Zheng; Liang Chen 001; Bingzhe Wu (CoRR, 2023)

Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions. - Xuefeng Du; Tian Bian; Yu Rong 001; Bo Han 003; Tongliang Liu; Tingyang Xu; Wenbing Huang 001; Yixuan Li 001; Junzhou Huang (Trans. Mach. Learn. Res., 2023)

Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation. - Tian Bian; Yifan Niu; Heng Chang; Divin Yan; Junzhou Huang; Yu Rong 001; Tingyang Xu; Jia Li 009; Hong Cheng 001 (CIKM, 2024)

Natural Language-Assisted Multi-modal Medication Recommendation. - Jie Tan; Yu Rong 001; Kangfei Zhao; Tian Bian; Tingyang Xu; Junzhou Huang; Hong Cheng 001; Helen Meng (CIKM, 2024)

Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification. - Xin Wang 019; Heng Chang; Beini Xie; Tian Bian; Shiji Zhou; Daixin Wang; Zhiqiang Zhang 012; Wenwu Zhu 001 (IEEE Trans. Knowl. Data Eng., 2024)