Publications

A collection of my research work.

Dynamic Heterogeneous Graph Representation Learning: A Survey

Huan Liu, Pengfei Jiao, Jie Yin, Hongjiang Chen, Zhidong Zhao

Proceedings of the 35th International Joint Conference on Artificial Intelligence (IJCAI) 2026

Robust Bayesian Dynamic Graph Embedding via Contrastive Learning

Pengfei Jiao, Zehao Liu, Huan Liu, Zhidong Zhao, Yuyu Yin, Yanxian Bi

IEEE Transactions on Big Data 2026

DOI

An Empirical Study Challenging the Ability of Heterogeneous Graph Neural Networks to Effectively Learn Topological Structures

Shuxin Chen, Xuan Guo, Huan Liu, Hongjiang Chen, Pengfei Jiao

IEEE Transactions on Big Data 2026

DOI

ST-TGExplainer: Disentangling Stability and Transition Patterns for Temporal GNN Interpretability

Hongjiang Chen, Xin Zheng, Pengfei Jiao, Huan Liu, Zhidong Zhao, Huaming Wu, Feng Xia, Shirui Pan

Proceedings of the Forty-Third International Conference on Machine Learning (ICML) 2026

Code

Prototype-Based Information Bottleneck for Explainable Heterogeneous Temporal Graph Neural Networks

Zexuan Chen, Yifan Lu, Pengfei Jiao, Huan Liu, Hongjiang Chen, Zhidong Zhao

Proceedings of the 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2026

DOI

Unified Network Embedding via Mutual Fusion of Communities and Roles

Pengfei Jiao, Wang Zhang, Xuan Guo, Huan Liu, Yanxian Bi, Yefei Zhang, Zhidong Zhao

IEEE Transactions on Computational Social Systems 2026

DOI

Heterogeneous Temporal Hypergraph Neural Network

Huan Liu, Pengfei Jiao, Mengzhou Gao, Chaochao Chen, Di Jin

Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI) 2025

DOICode

EHGFL: Contrastive Distillation for Efficient Heterogeneous Graph Few-Shot Learning

Ning Ruan, Yufei Zeng, Huan Liu, Dong Liu, Pengfei Jiao

Neurocomputing 2025

DOI

HGMP: Heterogeneous Graph Multi-Task Prompt Learning

Pengfei Jiao, Jialong Ni, Di Jin, Xuan Guo, Huan Liu, Hongjiang Chen, Yanxian Bi

Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI) 2025

DOI

HGN2T: A Simple but Plug-and-Play Framework Extending HGNNs on Heterogeneous Temporal Graphs

Huan Liu, Pengfei Jiao, Xuan Guo, Huaming Wu, Mengzhou Gao, Jilin Zhang

IEEE Transactions on Big Data 2024

DOICode

Research on Air Quality in Response to Meteorological Factors Based on the Informer Model

Xiaoqing Tian, Chaoqun Zhang, Huan Liu, Baofeng Zhang, Cheng Lu, Pengfei Jiao, Songkai Ren

Sustainability 2024

DOI

Dynamic Graph Link Prediction Based on Multi-View Contrastive Learning

Pengfei Jiao, Zian Wu, Huan Liu, Jilin Zhang, Jian Wan

Journal of Nanjing University (Natural Sciences) 2024

DOI

Globally Enhanced Heterogeneous Temporal Graph Neural Networks Based on Contrastive Learning

Pengfei Jiao, Huan Liu, Le Lv, Mengzhou Gao, Jilin Zhang, Dong Liu

Journal of Computer Research and Development 2023

DOICode

Neighborhood Overlap-Aware Heterogeneous Hypergraph Neural Network for Link Prediction

Yifan Lu, Mengzhou Gao, Huan Liu, Zehao Liu, Wei Yu, Xiaoming Li, Pengfei Jiao

Pattern Recognition 2023

DOI

Bayesian Contrastive Representation Learning for Dynamic Graph

Zian Wu, Huijun Tang, Huan Liu

2022 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta) 2022

DOI