Xiaoxin He, Xavier Bresson, Thomas Laurent, Adam Perold, Yann LeCun, Bryan Hooi ICLR’24 [ Paper | Poster | Code ] A Generalization of ViT/MLP-Mixer to Graphs

Xiao He was appointed by Liu Bang as the chancellor of the Han kingdom. During that time, Xiao He met Han Xin, who had recently joined Liu Bang's army and was serving as a low-ranking soldier, and recognised Han Xin's brilliance in military strategy. Not long later, many of Liu Bang's men deserted as they were unable to cope with living in ...

X He, B Hooi, T Laurent, A Perold, Y LeCun, X Bresson. ICML 2023, 2022. 106: 2022: Can we soft prompt LLMs for graph learning tasks? Z Liu, X He, Y Tian, NV Chawla. WWW 2024, 2024. 30: 2024: UniGraph: Learning a Cross-Domain Graph Foundation Model From Natural Language. Y He, Y Sui, X He, B Hooi.

Xiao He, Chang Tang, Xin Zou, Wei Zhang ACM MM (Oral), 2023 Paper / Code. We propose CALNet.

Jan 18, 2025 · 工学博士，教授，博士生导师。 主持国家自然科学基金面上项目 2 项，主持广东省自然科学基金 5 项。 以第一作者或通讯作者发表SCI论文30多篇，其中中科院一区论文20多篇，发表在Applied Catalysis B: Environmental (环境催化领域顶刊，IF= 20.3)上的论文8 篇 ，发表在Chemical Engineering Journal...

He’s now a professor at the Feringa Nobel Prize Scientist Joint Research Centre, School of Chemistry and Molecular Engineering of ECUST, and a guest research fellow at the National Center for Liver Cancer, where his research interests span chemical glycobiology to fluorescent probes for disease diagnosis and imaging-guided therapy.

Affiliations: [Science & Technology on Integrated Infomation System Laboratory, Institute of Software, Beijing, China].

He Xiao-Xin. Affiliation. Institute of Software, Chinese Academy and Sciences, Beijing, China. Publication Topics Ad Hoc Networks,Cognitive Radio,Dynamic Threshold,Edge Density,Frequent Communication,Frequent Itemsets,Graph Size,Heuristic Information,Master Node,Part Of The Graph,Real-life Applications,Sequential Pattern Mining,Set Of ...

Xiaoxin He Pronouns: she/herPhD student, School of Computing, National University of Singapore. Joined ; May 2022

He Xiao-Xin's 4 research works with 12 citations and 83 reads, including: Extreme Maximal Weighted Frequent Itemset Mining for Cognitive Frequency Decision Making