Zhiding Liu

According to our database, Zhiding Liu authored at least 17 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A general tail item representation enhancement framework for sequential recommendation.

Mingyue Cheng, Qi Liu, Wenyu Zhang, Zhiding Liu, Hongke Zhao, Enhong Chen

Frontiers Comput. Sci., December, 2024

DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting.

Zhiding Liu, Jiqian Yang, Qingyang Mao, Yuze Zhao, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen

CoRR, 2024

FDF: Flexible Decoupled Framework for Time Series Forecasting with Conditional Denoising and Polynomial Modeling.

Jintao Zhang, Mingyue Cheng, Xiaoyu Tao, Zhiding Liu, Daoyu Wang

CoRR, 2024

Diffusion Auto-regressive Transformer for Effective Self-supervised Time Series Forecasting.

Daoyu Wang, Mingyue Cheng, Zhiding Liu, Qi Liu, Enhong Chen

CoRR, 2024

Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation.

Li Li, Mingyue Cheng, Zhiding Liu, Hao Zhang, Qi Liu, Enhong Chen

CoRR, 2024

HMF: A Hybrid Multi-Factor Framework for Dynamic Intraoperative Hypotension Prediction.

Mingyue Cheng, Jintao Zhang, Zhiding Liu, Chunli Liu, Yanhu Xie

CoRR, 2024

Advancing Time Series Classification with Multimodal Language Modeling.

Mingyue Cheng, Yiheng Chen, Qi Liu, Zhiding Liu, Yucong Luo

CoRR, 2024

Generative Pretrained Hierarchical Transformer for Time Series Forecasting.

Zhiding Liu, Jiqian Yang, Mingyue Cheng, Yucong Luo, Zhi Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling.

Junzhe Jiang, Shang Qu, Mingyue Cheng, Qi Liu, Zhiding Liu, Hao Zhang, Rujiao Zhang, Kai Zhang, Rui Li, Jiatong Li, Min Gao

Proceedings of the Database Systems for Advanced Applications, 2024

Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information.

Rujiao Zhang, Hao Zhang, Yucong Luo, Zhiding Liu, Mingyue Cheng, Qi Liu, Enhong Chen

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems.

Hao Zhang, Mingyue Cheng, Qi Liu, Zhiding Liu, Enhong Chen

CoRR, 2023

TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders.

Mingyue Cheng, Qi Liu, Zhiding Liu, Hao Zhang, Rujiao Zhang, Enhong Chen

CoRR, 2023

FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification.

Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen

Proceedings of the ACM Web Conference 2023, 2023

Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective.

Zhiding Liu, Mingyue Cheng, Zhi Li, Zhenya Huang, Qi Liu, Yanhu Xie, Enhong Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems.

Guanhao Zhao, Zhenya Huang, Yan Zhuang, Jiayu Liu, Qi Liu, Zhiding Liu, Jinze Wu, Enhong Chen

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Towards Automatic Discovering of Deep Hybrid Network Architecture for Sequential Recommendation.

Mingyue Cheng, Zhiding Liu, Qi Liu, Shenyang Ge, Enhong Chen

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

One Person, One Model - Learning Compound Router for Sequential Recommendation.

Zhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen

Proceedings of the IEEE International Conference on Data Mining, 2022