I’m an incoming PhD student in Computer Science at Fudan University.

I work on graph and flow models, in theory and in practice.

Papers

1. GSF-χ: Global Stereochemical Fields for Chiral Graph Transformers. Jiaqing Xie, Yuxin Wang, and Xipeng Qiu. To be released soon.

2. Equivariant Neural Primal–Dual Assignment for Maximum Common Edge Subgraphs. Jiaqing Xie, Yanchao Li, Zhuo Yang, Tianfan Fu, Yuxin Wang, and Yuqiang Li. To be released soon.

3. Eigenbasis-Independent Learnable Spectral Positional Encodings for Directed Graphs via Hermitian Block Krylov Subspaces. Jiaqing Xie and Yuxin Wang. 2026. [arXiv]

4. Fixed-Density Transport Lifting: Riemannian Energy Matching for Generative Sampling. Jiaqing Xie, Yanchao Li, Ben Gao, Wanhao Liu, Tianfan Fu, and Yuqiang Li.

5. SpectraFlow: Peak-Aware Flow Matching for Bidirectional Infrared–Raman Spectral Translation and Molecular Property Prediction. Jiaqing Xie, Zhuo Yang, Ben Gao, Shuaike Shen, Tianfan Fu, and Yuqiang Li.

6. Benchmarking Positional Encodings for GNNs and Graph Transformers. Florian Grotschla^*, Jiaqing Xie^*, and Roger Wattenhofer. KDD 2026. [arXiv] [code]

^* Equal contribution.