Xie Zongxia
School
College of Intelligence and Computing
Professional Title
Professor
Discipline
时序建模
Contact Information
caddiexie@hotmail.com
Research Interests
- 机器学习 模式识别 数据挖掘
Courses
Academic Achievements
- Papers
- [1] Wenzhe Niu, Wei He, Zongxia Xie, Jinpeng Ou, Huichuan Fan, Yuchen Ge, Yanru Sun, Ziyin Wang, Yizhao Sun, Chengshun Shi, Jiuchong Gao, Jinghua Hao, Renqing He: From Absolute to Relative: Rethinking Reward Shaping in Group-Based Reinforcement Learning. ICML (2026)
- [2] Feng Xiong, Zongxia Xie, Yanru Sun, Haoyu Wang, Jianhong Lin: SEED: Spectral Entropy-Guided Evaluation of Spatial-Temporal Dependencies for Multivariate Time Series Forecasting. AAAI 2026: 27153-27161
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- [3] Dongyue Chen, Zongxia Xie, Wenlong Yu, Qinghua Hu: Long-Tail Class Incremental Learning via Bias Calibration With Application to Continuous Fault Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 37(1): 204-218 (2026)
- [4] Tianyu Jia, Zongxia Xie*, Yanru Sun, Dilfira Kudrat, Qinghua Hu: Lightweight channel-wise dynamic fusion model: Non-stationary time series forecasting via entropy analysis. Inf. Fusion 133: 104313 (2026)
- [5] Ziyin Wang, Zongxia Xie* (谢宗霞), Yanru Sun, Wenzhe Niu, Chenbin Su. TPP-LLM: time series popularity prediction via LLM empowered by textual prototype and prompt. ICASSP 2026. (CCF B)
- [6] Jianhong Lin, Zongxia Xie* (谢宗霞), Yun Wang, Haoyu Xing, Feng Xiong. Uncertainty-aware multi-scale feature fusion with transformer for time series prediction. ICASSP 2026. (CCF B)
- [7] Dilfira Kudrat, Zongxia Xie* ( 谢 宗 霞 ), Yanru Sun, Tianyu Jia, Qinghua Hu. Patch-wise structural loss for time series forecasting. ICML 2025. (CCF A)
- [8] Yuxuan Zhao, Zongxia Xie* (谢宗霞), Zheng Wang, Yanru Sun, Haoyu Xing, Tianyu Jia, Dilfira Kudrat. RecMamba: reconstruction-augmented dual-path mamba for time series forecasting. Knowledge Based Systems 2025. (SCI 一区)
- [9] Yanru Sun, Zongxia Xie* (谢宗霞), Emadeldeen Eldele, Dongyue Chen, Qinghua Hu, Min Wu.Learning pattern-specific experts for time series forecasting under patch-level distribution shift. NeurIPS 2025. (CCF A)
- [10] Zhaobin Meng, Zongxia Xie: MPPG: Pluggable Multi-Periodic Pattern-Guided Approach for Multivariate Time Series Anomaly Detection. DASFAA (4) 2025: 509-518
- [11] Canhua Guan, Zongxia Xie, Haoyu Wang, Haoyu Xing: Frequency-Domain Popularity Forecasting with Shape-Based Retrieval. ICASSP 2025: 1-5
- [12] Wenzhe Niu, Zongxia Xie, Yanru Sun, Wei He, Man Xu, Chao Hao: LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization. ICML 2025
- [13] Yanru Sun, Zongxia Xie, Haoyu Xing, Hualong Yu, Qinghua Hu:PPGF: Probability Pattern-Guided Time Series Forecasting. IEEE Trans. Neural Networks Learn. Syst. 36(8): 14790-14801 (2025)
- [14] Yanru Sun, Zongxia Xie* ( 谢 宗 霞 ), Dongyue Chen, Emadeldeen Eldele, Qinghua Hu. Hierarchical classification auxiliary network for time series forecasting. AAAI 2025. (CCF A)