Hi~ I am a second-year PhD student at the Department of Computer Science and Engineering at the University of Electronic Science and Technology of China (UESTC), advised by Prof. Xiaofeng Zhu, and currently a visiting PhD student at SUTD, advised by Prof. Lei Feng. Before that, I received my Master’s degree from the Southwest Petroleum University in 2023, supervised by Prof. Ping Li, and I worked as a research intern at Microsoft Research Asia (MSRA) supervised by Lun Du. I am grateful to all the teachers who have helped me.
My close collaborators: Liang Peng, Jie Xu, Yujie Mo, Mengmeng Zhan, Lu Zeng, Zongqian Wu, Yonghua Zhu, Rongyao Hu, Jiangzhang Gan.
I am currently working on trustworthy graph learning, with a focus on calibration. In the future, I plan to explore trustworthy outputs of LLMs and MLLMs. I am also looking for collaborators. If you’re interested, feel free to contact me via email.
🤗 News
- 2025.05: 🎉🎉🎉 One paper is accepted by ICML 2025！
- 2024.12: Invited to serve as an Area Chair for IJCNN’25.
- 2024.11： 🎉🎉🎉 Honored to receive the Tencent Scholarship！
📖 Publications
* indicates equal contribution
The Final Layer Holds the Key: A Unified and Efficient GNN Calibration Framework. Under Review [Paper] [Code]
Jincheng Huang, Jie Xu, Xiaoshuang Shi, Ping Hu, Lei Feng, Xiaofeng Zhu
Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks. ICML 2025. [Paper] [Code]
Jincheng Huang, Yujie Mo, Xiaoshuang Shi, Lei Feng, Xiaofeng Zhu
Adaptive node-level weighted learning for directed graph neural networks. Neural Networks 2025. [Paper] [Code]
Jincheng Huang, Xiaofeng Zhu
On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective. ICML 2024. [Paper] [Code]
Jincheng Huang, Jialie Shen, Xiaoshuang Shi, Xiaofeng Zhu
Exploring the Role of Node Diversity in Directed Graph Representation Learning. IJCAI 2024. [Paper] [Code]
Jincheng Huang, Yujie Mo, Ping Hu, Xiaoshuang Shi, Shangbo Yuan, Zeyu Zhang, Xiaofeng Zhu
Robust Mid-Pass Filtering Graph Convolutional Networks. TheWebConf(WWW) 2023. [Paper] [Code]
Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang
Revisiting the role of heterophily in graph representation learning: An edge classification perspective. ACM TKDD 2023. [Paper] [Code]
Jincheng Huang, Ping Li, Rui Huang, Na Chen, Acong Zhang
Semantic consistency for graph representation learning. IJCNN 2022. [Paper] [Code]
Jincheng Huang, Ping Li, Kai Zhang
Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph Convolutional Networks. ACM TKDD 2023. [Paper] [Code]
Acong Zhang, Jincheng Huang*, Ping Li, Kai Zhang
🏆 Honors and Awards
- 2022.04 National Scholarship.
- 2023.01 Outstanding Graduate Student.
- 2023.05 Outstanding Master’s Thesis.
- 2024.07 China Scholarship Council.
- 2024.09 First-class Scholarship.
- 2024.11 Tencent Scholarship.
✨ Internship
- Microsoft Research Asia (MSRA) 2022.5~2022.12, supervised by Lun Du. Focus on Adversarial Robustness of Graph Neural Networks.
🏫 Educations
- 2023.09 - (now), University of Electronic Science and Technology of China, Chengdu, China, Ph.D. student of Computer Science and Technology.
- 2020.09 - 2023.06, Southwest Petroleum University, Chengdu, China, Master of Computer Technology, Master of Computer Science and Technology.
- 2016.09 - 2020.06, Suzhou University of Technology, Suzhou, China, Bachelor of Computer Science and Technology (Internet of Things Engineering).
💬 Services
- Area Chair: IJCNN 2025.
- Program Committee Member for ICML 2024-2025, ICLR 2024-2025, NeurIPS 2024 2025, AAAI 2024-2025, ACM MM 2025, AISTATS2025 etc.
- Reviewer for TNNLS, TKDE, TIP, IPM, NeuralComputing, etc.