Keqi Han

12 papers A* 5Journal 4Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Benchmark Analysis of Graph and Non-Graph Methods for Caenorhabditis Elegans Neuron Classification.
CoRR
Jingqi Lu, Keqi Han, Yun Wang, Lu Mi, Carl Yang
2025 — conf
Causal Brain Connectivity: Integrating Granger Directed Graphs in fMRI Analysis.
AIME (2)
Tianyi Zhang, Keqi Han, Jiawei Nie, Chenyu You, Sanne J. H. van Rooij, Jennifer S. Stevens, Boadie Dunlop, Charles Gillespie, Carl Yang
2025 — conf
End-to-End Deep Learning for Structural Brain Imaging: A Unified Framework.
AAAI Spring Symposia
Yao Su, Keqi Han, Mingjie Zeng, Lichao Sun, Liang Zhan, Carl Yang, Lifang He, Xiangnan Kong
2025 J jnl
End-to-End Deep Learning for Structural Brain Imaging: A Unified Framework.
CoRR
Yao Su, Keqi Han, Mingjie Zeng, Lichao Sun, Liang Zhan, Carl Yang, Lifang He, Xiangnan Kong
2025 J jnl
Rethinking Functional Brain Connectome Analysis: Do Graph Deep Learning Models Help?
CoRR
Keqi Han, Yao Su, Lifang He, Liang Zhan, Sergey M. Plis, Vince D. Calhoun, Carl Yang
2024 A* conf
Learning Diffusions under Uncertainty.
AAAI
Hao Huang, Qian Yan, Keqi Han, Ting Gan, Jiawei Jiang, Quanqing Xu, Chuanhui Yang
2024 — conf
Multi-task Learning for Brain Network Analysis in the ABCD Study.
BHI
Xuan Kan, Hejie Cui, Keqi Han, Ying Guo, Carl Yang
2023 J jnl
Learning Diffusions under Uncertainty.
CoRR
Hao Huang, Qian Yan, Keqi Han, Ting Gan, Jiawei Jiang, Quanqing Xu, Chuanhui Yang
2023 A* conf
Multi-aspect Diffusion Network Inference.
WWW
Hao Huang, Keqi Han, Beicheng Xu, Ting Gan
2022 A* conf
Reconstructing Diffusion Networks from Incomplete Data.
IJCAI
Hao Huang, Keqi Han, Beicheng Xu, Ting Gan
2021 A* conf
Diffusion Network Inference from Partial Observations.
AAAI
Ting Gan, Keqi Han, Hao Huang, Shi Ying, Yunjun Gao, Zongpeng Li
2020 A* conf
Statistical Estimation of Diffusion Network Topologies.
ICDE
Keqi Han, Yuan Tian, Yunjia Zhang, Ling Han, Hao Huang, Yunjun Gao