Tian Bian

According to our database, Tian Bian authored at least 14 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Agentic Fusion of Large Atomic and Language Models to Accelerate Superconductors Discovery.

Mingze Li, Yu Rong, Songyou Li, Lihong Wang, Jiacheng Cen, Liming Wu, Anyi Li, Zongzhao Li, Qiuliang Liu, Rui Jiao, Tian Bian, Pengju Wang, Hao Sun, Jianfeng Zhang, Ji-Rong Wen, Deli Zhao, Shi Jin, Tingyang Xu, Wenbing Huang

CoRR, April, 2026

Lingshu-Cell: A generative cellular world model for transcriptome modeling toward virtual cells.

Han Zhang, Guo-Hua Yuan, Chaohao Yuan, Tingyang Xu, Tian Bian, Hong Cheng, Wenbing Huang, Deli Zhao, Yu Rong

CoRR, March, 2026

2025

A novel high-accuracy graph neural network-based rumor detection method.

Xi Xiao, Zeming Wu, Chengzong Cai, Tian Bian, Guangwu Hu, Qing Li, Cheng Huang

Eng. Appl. Artif. Intell., 2025

IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck.

Tian Bian, Yifan Niu, Chaohao Yuan, Chengzhi Piao, Bingzhe Wu, Long-Kai Huang, Yu Rong, Tingyang Xu, Hong Cheng, Jia Li

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification.

Xin Wang, Heng Chang, Beini Xie, Tian Bian, Shiji Zhou, Daixin Wang, Zhiqiang Zhang, Wenwu Zhu

IEEE Trans. Knowl. Data Eng., May, 2024

Natural Language-Assisted Multi-modal Medication Recommendation.

Jie Tan, Yu Rong, Kangfei Zhao, Tian Bian, Tingyang Xu, Junzhou Huang, Hong Cheng, Helen Meng

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation.

Tian Bian, Yifan Niu, Heng Chang, Divin Yan, Junzhou Huang, Yu Rong, Tingyang Xu, Jia Li, Hong Cheng

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions.

Xuefeng Du, Tian Bian, Yu Rong, Bo Han, Tongliang Liu, Tingyang Xu, Wenbing Huang, Yixuan Li, Junzhou Huang

Trans. Mach. Learn. Res., 2023

Language Agents for Detecting Implicit Stereotypes in Text-to-image Models at Scale.

Qichao Wang, Tian Bian, Yian Yin, Tingyang Xu, Hong Cheng, Helen M. Meng, Zibin Zheng, Liang Chen, Bingzhe Wu

CoRR, 2023

Decision Support System for Chronic Diseases Based on Drug-Drug Interactions.

Tian Bian, Yuli Jiang, Jia Li, Tingyang Xu, Yu Rong, Yi Su, Timothy C. Y. Kwok, Helen Meng, Hong Cheng

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2021

PI-GNN: A Novel Perspective on Semi-Supervised Node Classification against Noisy Labels.

Xuefeng Du, Tian Bian, Yu Rong, Bo Han, Tongliang Liu, Tingyang Xu, Wenbing Huang, Junzhou Huang

CoRR, 2021

2020

Inverse Graph Identification: Can We Identify Node Labels Given Graph Labels?

Tian Bian, Xi Xiao, Tingyang Xu, Yu Rong, Wenbing Huang, Peilin Zhao, Junzhou Huang

CoRR, 2020

Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks.

Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Failure mode and effects analysis based on D numbers and TOPSIS.

Tian Bian, Haoyang Zheng, Likang Yin, Yong Deng

Qual. Reliab. Eng. Int., 2018