About me（Update in 2026.01）👋

I am currently a third-year Ph.D. student at the College of Software, Northeastern University, China, co-supervised by Prof. Bin Zhang and Assoc. Prof. Peibo Duan. My research interests include time series analysis, graph neural networks, and their applications in artificial intelligence.

Publications

📝 First-author Publications

[1] Zhipeng Liu, Peibo Duan, Xuan Tang, Haodong Jing, Mingyang Geng, Yongsheng Huang, Jialu Xu, Bin Zhang and Binwu Wang. We Need a More Robust Classifier: Dual Causal Learning Empowers Domain-Incremental Time Series Classification. Proceedings of The ACM Web Conference, WWW 2026 (CCF-A).

[2] Zhipeng Liu, Peibo Duan, Xuan Tang, Baixin Li, Yongsheng Huang, Mingyang Geng, Changsheng Zhang, Bin Zhang and Binwu Wang. TimeFormer: Transformer with Attention Modulation Empowered by Temporal Characteristics for Time Series Forecasting. Expert Systems With Applications, 2026 (IF=7.5 JCR-Q1).

[3] Zhipeng Liu, Peibo Duan, Binwu Wang, Xuan Tang, Qi Chu, Changsheng Zhang, Yongsheng Huang, and Bin Zhang. DisMS-TS: Eliminating Redundant Multi-Scale Features for Time Series Classification. ACM International Conference on Multimedia, ACM MM, 2025 (CCF-A).

[4] Zhipeng Liu, Peibo Duan, Qi Chu, Levin Kuhlmann, Changsheng Zhang, Wenwei Yue, Xuan Tang and Bin Zhang. An Attributed Multiplex Network Enabled GNN-based Stock Predictor with Observable and Non-observable Information. Expert Systems With Applications, 2025 (IF=7.5 JCR-Q1).

[5] Zhipeng Liu, Peibo Duan, Xiaosha Xue, Changsheng Zhang, Wenwei Yue, and Bin Zhang. A dynamic hypergraph attention network: Capturing market-wide spatiotemporal dependencies for stock selection. Applied Soft Computing, 2025 (IF=7.2 JCR-Q1).

[6] Zhipeng Liu, Peibo Duan, Mingyang Geng, and Bin Zhang. A Distillation-based Future-aware Graph Neural Network for Stock Trend Prediction. IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, 2025 (CCF-B).