About Me
I am a Large Language Model Engineer at Baichuan Inc.,
where I focus on advancing the capabilities of foundation models through post-training optimization and enhancing their reasoning abilities.
My work sits at the intersection of cutting-edge AI research and practical engineering,
aiming to bridge the gap between theoretical innovation and real-world applications.
Before joining Baichuan Inc., I earned my Ph.D. in Computer Science from Zhejiang University, advised by Prof. Huajun Chen and
Prof. Wen Zhang.
During my doctoral studies, I was a visiting researcher at The University of Edinburgh under the supervision of Prof. Jeff Z. Pan.
Selected Publications
For a complete list of publications, please refer to my Google Scholar profile.
Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning
Mingyang Chen, Haoze Sun, Tianpeng Li, Fan Yang, Hao Liang, Keer Lu, Bin Cui, Wentao Zhang, Zenan Zhou, Weipeng Chen
Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs
Mingyang Chen, Wen Zhang, Yuxia Geng, Zezhong Xu, Jeff Z. Pan, Huajun Chen
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding
Mingyang Chen, Wen Zhang, Zhen Yao, Yushan Zhu, Yang Gao, Jeff Z. Pan, Huajun Chen
Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting
Mingyang Chen, Wen Zhang, Zhen Yao, Xiangnan Chen, Mengxiao Ding, Fei Huang, Huajun Chen
Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding
Mingyang Chen, Wen Zhang, Yushan Zhu, Hongting Zhou, Zonggang Yuan, Changliang Xu, Huajun Chen
FedE: Embedding Knowledge Graphs in Federated Setting
Mingyang Chen, Wen Zhang, Zonggang Yuan, Yantao Jia, Huajun Chen
Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs
Mingyang Chen, Wen Zhang, Wei Zhang, Qiang Chen, Huajun Chen
