I am currently a graduate student with the Computer Application Research Center (CARC) at School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), supervised by Prof. Qing Liao.
I am currently preparing for my PhD application… (Destination: Japan)
My research interests lie in the general area of federated learning and recommendation system, particularly in federated domain adaptation/domain generalization, cross-domain recommendation, and GNN-based recommendation.
I received my Bachelor’s Degree in Computer Science and Technology, at School of Computer Science, SWPU in 2022.
Zhang H, Zheng D, Yang X, et al. FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning[C]. SIAM International Conference on Data Mining, 2024. [paper] [code]
Zhang H, Zheng D, Zhong L, et al. FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling[C]. ECML-PKDD, 2024. [paper] [code]
FedCom: A new method of multi-task clustered federated learning. In this method, we perform dynamic partition of clusters based on community detection, which can alleviate the negative impact caused by the early-stage partition errors.
FedAO: A toolbox for federated learning, aiming to provide implementations of FedAvg, FedProx, Ditto, etc. in multiple versions, such as Pytorch/Tensorflow, single-machine/distributed, synchronized/asynchronous and so on.
Numerical Analysis: A project for the implementation of the algorithm in the numerical analysis (by Timothy Sauer) using Python+Numpy+Pytorch.