News
- [2024.08] One paper have been accepted by TKDE 2024.
- [2024.07] One paper have been accepted by ACM MM 2024.
- [2024.06] One paper have been accepted by IEEE JBHI 2024.
- [2023.10] I won China National Scholarship for graduate students.
- [2023.07] Two papers have been accepted by ACM MM 2024 (Oral).
- [2023.07] One paper has been accepted by IEEE T-GRS.
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Research
My research mainly focus on self-supervised learning/unsupervised learning, and their applications on graphs (e.g., graph clustering, KG embedding), language(e.g., LLMs, VLMs), recommendation systems, code intelligence, and bioinformatics.
* denotes equal contributions. The selected papers are listed as follows.
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Heterogeneous Graph Guided Contrastive Learning for Spatially Resolved Transcriptomics Data
Xiao He,
Chang Tang,
Xinwang Liu,
Chuankun Li,
Shan An,
Zhenglai Li
ACM MM (Oral), 2023
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Code
We propose stGCL.
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Multispectral Object Detection via Cross-Modal Conflict-Aware Learning
Xiao He,
Chang Tang,
Xin Zou,
Wei Zhang
ACM MM (Oral), 2023
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Code
We propose CALNet.
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Object Detection in Hyperspectral Image via Unified Spectral-Spatial Feature Aggregation
Xiao He,
Chang Tang,
Xinwang Liu,
Wei Zhang,
Kun Sun,
Jiangfeng Xu
IEEE T-GRS , 2024
Paper
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Code
We propose S2ADet and a News Dataset HOD3K.
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- Student Intern at Shanghai Artificial Intelligence Laboratory, 2024
- Reviewer for ACMMM'23/24
- Reviewer for IEEE TIP, IEEE TCYB, IEEE TMM
- Reviewer for Information Fusion, IEEE T-NNLS, Pattern Recognition
- Reviewer for IEEE TCSVT, IEEE TGRS
- China National Scholarship for Graduate Student.
Design and source code from Jon Barron's website
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