😀 About Me
I am now an algorithmic engineer at JD Technology. Before that, I participated in a half-a-year-long rotation training in the same company as a Doctor Management Trainee.
I received my Ph.D. from Harbin Institute of Technology, Shenzhen in 2021 under the supervision of Prof. Yunming Ye. My research areas are graph neural networks, knowledge graphs, spatio-temporal data mining and large language model and mainly focus on urban knowledge graph, question answering and knowledge reasoning.
I am always open to collaborating with remote students and researchers who are interested in graph neural networks, knowldge graphs and spatio-temporal data mining, etc. Please feel free to contact me.
zhichao [at] cshzc [dot] top
🔥 News
• 2025.01, I was invited to serve as a reviewer for KDD'2025
• 2024.12, I was invited to serve as reviewers for ICML'2025, IJCAI'2025 and IJCNN'2025
• 2024.12, 🎉 One paper was accepted to AAAI'2025 and selected as the oral presentation paper, congratulations to our co-authors Bowen and Guangning
• 2024.08, I was invited to serve as reviwers for ICLR'2025 and ICASSP'2025
• 2024.08, 🎉 One paper was acceptd to Applied Intelligence Journal
• 2024.07, 🎉 I was listed as a technical expert for the Beijing Science and Technology Project
• 2023.12, 🎉 Awarded the "Yi Qilin" Excellent Talent designation by the Beijing Economic-Technological Development Area
• 2023.12, 🎉 I became an associate senior researcher at the Beijing Natural Science Research Series Committee
• 2023.02, 🎉 Two corresponding author papers were accepted to ICASSP'2023
🎖 Honors and Awards
• 2024.07, Techinical Expert for the Beijing Science and Technology Project
• 2023.12, Yi Qilin Excellent Talent
• 2016-2020, First-Class Scholarship of Harbin Institute of Technology, Shenzhen
• 2016.07, Outstanding Graduate of Harbin Institute of Technology, Shenzhen
• 2015.07, Merit Student of Harbin Institute of Technology, Shenzhen
📝 Selected Publications
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Zhichao Huang, Xutao Li, Yunming Ye, and Michael K Ng. Mr-gcn: Multi-relational graph convolutional networks based on generalized tensor product. In IJCAI, pages 1258–1264, 2020. -
Zhichao Huang, Xutao Li, Yunming Ye, Baoquan Zhang, Guangning Xu, and Wensheng Gan. Multi-view knowledge graph fusion via knowledge-aware attentional graph neural network. Applied Intelligence, pages 1–20, 2022. -
Zhichao Huang, Xutao Li, Yunming Ye, Feng Li, Feng Liu, and Yuan Yao. Tlvane: a two-level variation model for attributed network embedding. Neural Computing and Applications, 32:4835–4847, 2020. -
Jinjin Guo,
Zhichao Huang📧, Guangning Xu, Bowen Zhang, and Chaoqun Duan📧. Knowledge-aware few shot learning for event detection from short texts. In ICASSP, 2023. -
Guangning Xu, Jinyang Yang, Jinjin Guo,
Zhichao Huang📧, and Bowen Zhang📧. Int-gnn: a user intention aware graph neural network for session-based recommendation. In ICASSP, 2023.
🤝 Collaborators
- Guangning Xu, Research Assistant Professor at Hong Kong Baptist University
- Bowen Zhang, Associate Professor at Shenzhen Technology University
- Xubo Qin, Researcher at BIGAI
