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Zhixun Li
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Journal Articles
- 2024
- [j9]Zhixun Li, Nan Zhang, Huiling Gong, Ruiyun Qiu
, Wei Zhang:
SG-MIAN: Self-guided multiple information aggregation network for image-level weakly supervised skin lesion segmentation. Comput. Biol. Medicine 170: 107988 (2024) - 2023
- [j8]Zhixun Li, Jiancheng Fang
, Ruiyun Qiu
, Huiling Gong, Wei Zhang, Linghao Li, Jian Jiang:
CDA-Net: A contrastive deep adversarial model for prostate cancer segmentation in MRI images. Biomed. Signal Process. Control. 83: 104622 (2023) - [j7]Zhixun Li, Nan Zhang, Huiling Gong, Ruiyun Qiu
, Wei Zhang:
MFA-Net: Multiple Feature Association Network for medical image segmentation. Comput. Biol. Medicine 158: 106834 (2023) - 2019
- [j6]Mingshu Ji
, Hong Rao, Zhixun Li, Jian Zhu, Ning Wang:
Partial Multi-View Clustering Based on Sparse Embedding Framework. IEEE Access 7: 29332-29343 (2019) - 2018
- [j5]Weidong Min
, Hao Cui, Hong Rao, Zhixun Li, Leiyue Yao:
Detection of Human Falls on Furniture Using Scene Analysis Based on Deep Learning and Activity Characteristics. IEEE Access 6: 9324-9335 (2018) - 2017
- [j4]Zhixun Li, Yingtao Zhang, Huiling Gong, Guangzhong Liu, Weimin Li, Xianglong Tang:
An automatic and efficient coronary arteries extraction method in CT angiographies. Biomed. Signal Process. Control. 36: 221-233 (2017) - [j3]Songbo Liu, Peng Liu, Zhixun Li, Yingtao Zhang, Weimin Li, Xianglong Tang:
A 3D/2D registration of the coronary arteries based on tree topology consistency matching. Biomed. Signal Process. Control. 38: 191-199 (2017) - 2016
- [j2]Zhixun Li, Yingtao Zhang
, Huiling Gong, Weimin Li, Xianglong Tang:
Automatic coronary artery segmentation based on multi-domains remapping and quantile regression in angiographies. Comput. Medical Imaging Graph. 54: 55-66 (2016) - 2015
- [j1]Zhixun Li, Yingtao Zhang, Guangzhong Liu, Haoyang Shao, Weimin Li, Xianglong Tang:
A robust coronary artery identification and centerline extraction method in angiographies. Biomed. Signal Process. Control. 16: 1-8 (2015)
Conference and Workshop Papers
- 2023
- [c8]Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang:
Uncovering Neural Scaling Laws in Molecular Representation Learning. NeurIPS 2023 - [c7]Zhixun Li, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu:
GSLB: The Graph Structure Learning Benchmark. NeurIPS 2023 - 2022
- [c6]Zhixun Li, Dingshuo Chen, Qiang Liu, Shu Wu:
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection. ICDM 2022: 1059-1064 - 2021
- [c5]Jingwei Qu, Bei Wang, Zhixun Li, Xiaoqing Lyu, Zhi Tang:
Understanding Multivariate Drug-Target-DiseaseInterdependence via Event-Graph. BIBM 2021: 1685-1687 - 2019
- [c4]Zhixun Li, Jie Hong, Jonghyuk Kim, Changbin Yu:
Control Design and Stability Analysis of a Two-Infectious-State Awareness Epidemic Model. ASCC 2019: 704-709 - [c3]Zhixun Li, Jie Hong, Jonghyuk Kim, Changbin Yu:
Control Design and Analysis of An Epidemic SEIV Model upon Adaptive Network. ECC 2019: 2492-2497 - 2017
- [c2]Zhixun Li, Jie Hong, Changbin Yu, Zhiyong Sun:
Awareness design and analysis upon two infectious states based on susceptible-exposed-infected-vigilant (SEIV) model. ASCC 2017: 2334-2339 - 2013
- [c1]Zhixun Li, Wei He, Zui Tao, Chang Liu:
Learning Control of a Robotic System Using Neural Networks. ICONS 2013: 695-700
Informal and Other Publications
- 2024
- [i7]Yuhan Li, Peisong Wang, Zhixun Li, Jeffrey Xu Yu, Jia Li:
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs. CoRR abs/2402.11235 (2024) - [i6]Jiajun Zhang, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang:
Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media. CoRR abs/2403.00037 (2024) - [i5]Shuheng Fang, Kangfei Zhao, Yu Rong, Zhixun Li, Jeffrey Xu Yu:
All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction. CoRR abs/2403.17740 (2024) - 2023
- [i4]Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang:
Uncovering Neural Scaling Laws in Molecular Representation Learning. CoRR abs/2309.15123 (2023) - [i3]Zhixun Li, Liang Wang, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu:
GSLB: The Graph Structure Learning Benchmark. CoRR abs/2310.05174 (2023) - [i2]Yuhan Li, Zhixun Li, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu:
A Survey of Graph Meets Large Language Model: Progress and Future Directions. CoRR abs/2311.12399 (2023) - 2022
- [i1]Zhixun Li, Dingshuo Chen, Qiang Liu, Shu Wu:
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection. CoRR abs/2210.12384 (2022)
Coauthor Index
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