Zhichao Huang

Zhichao Huang

Algorithmic Engineer at JD.com, Inc. Foucsing on KGs, LLMs and AI Agent.

😀 About Me

I am now an algorithmic engineer at JD.com, Inc. Before that, I participated in a half-a-year-long rotation training in the same company as a Doctor Management Trainee (DMT).

I earned my Ph.D. from Harbin Institute of Technology, Shenzhen in 2021 under the supervision of Prof. Yunming Ye. My research areas are knowledge graphs, LLMs and AI Agent, mainly focus on intent recognition, question answering and knowledge reasoning.

I am always open to collaborating with remote students and researchers who are interested in knowledge graphs, LLMs and AI Agent, etc. Please feel free to contact me. zhichao [at] cshzc [dot] top

New!! We’re looking for talented interns to join our team working on LLMs and AI Agent. If you are interested, please feel free to contact me.

🔥 News

• 2025.04, 🎉 One paper was accepted to ICIC'2025, congratulations to Chunyang and Yanping

• 2025.02, 🎉 I was supported by Beijing Natural Science Foundation

• 2024.12, 🎉 One paper was accepted to AAAI'2025 and selected as the oral presentation paper, congratulations to Bowen and Guangning

• 2024.08, 🎉 One paper was acceptd to Applied Intelligence Journal

• 2024.07, 🎉 I was elected 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

  • 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