Zhiding Liu - RankMe

36 papers A* 12A 4Journal 19Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	KuaiSearch: A Large-Scale E-Commerce Search Dataset for Recall, Ranking, and Relevance. CoRR Yupeng Li, Ben Chen, Mingyue Cheng, Zhiding Liu, Xuxin Zhang, Chenyi Lei, Wenwu Ou
2026	J	`jnl`	StaTS: Spectral Trajectory Schedule Learning for Adaptive Time Series Forecasting with Frequency Guided Denoiser. CoRR Jintao Zhang, Zirui Liu, Mingyue Cheng, Xianquan Wang, Zhiding Liu, Qi Liu
2026	A	`conf`	TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders. WSDM Mingyue Cheng, Xiaoyu Tao, Zhiding Liu, Qi Liu, Hao Zhang, Rujiao Zhang, Enhong Chen
2026	A*	`conf`	Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce. WWW Zhiding Liu, Ben Chen, Mingyue Cheng, Enhong Chen, Li Li, Chenyi Lei, Wenwu Ou, Han Li, Kun Gai
2025	A*	`conf`	A Hybrid Multi-Factor Network with Dynamic Sequence Modeling for Early Warning of Intraoperative Hypotension. IJCAI Mingyue Cheng, Jintao Zhang, Zhiding Liu, Chunli Liu
2025	A*	`conf`	Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting. IJCAI Jintao Zhang, Mingyue Cheng, Xiaoyu Tao, Zhiding Liu, Daoyu Wang
2025	J	`jnl`	Improving Time Series Forecasting via Instance-aware Post-hoc Revision. CoRR Zhiding Liu, Mingyue Cheng, Guanhao Zhao, Jiqian Yang, Qi Liu, Enhong Chen
2025	A	`conf`	InstrucTime: Advancing Time Series Classification with Multimodal Language Modeling. WSDM Mingyue Cheng, Yiheng Chen, Qi Liu, Zhiding Liu, Yucong Luo, Enhong Chen
2025	J	`jnl`	OneCast: Structured Decomposition and Modular Generation for Cross-Domain Time Series Forecasting. CoRR Tingyue Pan, Mingyue Cheng, Shilong Zhang, Zhiding Liu, Xiaoyu Tao, Yucong Luo, Jintao Zhang, Qi Liu
2025	J	`jnl`	Preference Trajectory Modeling via Flow Matching for Sequential Recommendation. CoRR Li Li, Mingyue Cheng, Yuyang Ye, Zhiding Liu, Enhong Chen
2025	A*	`conf`	TCDM: A Temporal Correlation-Empowered Diffusion Model for Time Series Forecasting. IJCAI Huibo Xu, Likang Wu, Xianquan Wang, Zhiding Liu, Qi Liu
2025	A*	`conf`	TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation. ICML Daoyu Wang, Mingyue Cheng, Zhiding Liu, Qi Liu
2025	A*	`conf`	Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems. IJCAI Hao Zhang, Mingyue Cheng, Zhiding Liu, Junzhe Jiang
2025	J	`jnl`	Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce. CoRR Zhiding Liu, Ben Chen, Mingyue Cheng, Enhong Chen, Li Li, Chenyi Lei, Wenwu Ou, Han Li, Kun Gai
2025	A*	`conf`	Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment. ICLR Yuze Zhao, Tianyun Ji, Wenjun Feng, Zhenya Huang, Qi Liu, Zhiding Liu, Yixiao Ma, Kai Zhang, Enhong Chen
2025	J	`jnl`	Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment. CoRR Yuze Zhao, Tianyun Ji, Wenjun Feng, Zhenya Huang, Qi Liu, Zhiding Liu, Yixiao Ma, Kai Zhang, Enhong Chen
2024	J	`jnl`	A general tail item representation enhancement framework for sequential recommendation. Frontiers Comput. Sci. Mingyue Cheng, Qi Liu, Wenyu Zhang, Zhiding Liu, Hongke Zhao, Enhong Chen
2024	J	`jnl`	Advancing Time Series Classification with Multimodal Language Modeling. CoRR Mingyue Cheng, Yiheng Chen, Qi Liu, Zhiding Liu, Yucong Luo
2024	J	`jnl`	Diffusion Auto-regressive Transformer for Effective Self-supervised Time Series Forecasting. CoRR Daoyu Wang, Mingyue Cheng, Zhiding Liu, Qi Liu, Enhong Chen
2024	J	`jnl`	DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting. CoRR Zhiding Liu, Jiqian Yang, Qingyang Mao, Yuze Zhao, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen
2024	J	`jnl`	FDF: Flexible Decoupled Framework for Time Series Forecasting with Conditional Denoising and Polynomial Modeling. CoRR Jintao Zhang, Mingyue Cheng, Xiaoyu Tao, Zhiding Liu, Daoyu Wang
2024	A*	`conf`	Generative Pretrained Hierarchical Transformer for Time Series Forecasting. KDD Zhiding Liu, Jiqian Yang, Mingyue Cheng, Yucong Luo, Zhi Li
2024	J	`jnl`	Generative Pretrained Hierarchical Transformer for Time Series Forecasting. CoRR Zhiding Liu, Jiqian Yang, Mingyue Cheng, Yucong Luo, Zhi Li
2024	J	`jnl`	HMF: A Hybrid Multi-Factor Framework for Dynamic Intraoperative Hypotension Prediction. CoRR Mingyue Cheng, Jintao Zhang, Zhiding Liu, Chunli Liu, Yanhu Xie
2024	A	`conf`	Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information. CIKM Rujiao Zhang, Hao Zhang, Yucong Luo, Zhiding Liu, Mingyue Cheng, Qi Liu, Enhong Chen
2024	J	`jnl`	Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation. CoRR Li Li, Mingyue Cheng, Zhiding Liu, Hao Zhang, Qi Liu, Enhong Chen
2024	—	`conf`	Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling. DASFAA (3) Junzhe Jiang, Shang Qu, Mingyue Cheng, Qi Liu, Zhiding Liu, Hao Zhang, Rujiao Zhang, Kai Zhang, Rui Li, Jiatong Li, Min Gao
2023	A*	`conf`	Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective. NeurIPS Zhiding Liu, Mingyue Cheng, Zhi Li, Zhenya Huang, Qi Liu, Yanhu Xie, Enhong Chen
2023	A*	`conf`	FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification. WWW Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen
2023	J	`jnl`	FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification. CoRR Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen
2023	A	`conf`	Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems. CIKM Guanhao Zhao, Zhenya Huang, Yan Zhuang, Jiayu Liu, Qi Liu, Zhiding Liu, Jinze Wu, Enhong Chen
2023	J	`jnl`	TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders. CoRR Mingyue Cheng, Qi Liu, Zhiding Liu, Hao Zhang, Rujiao Zhang, Enhong Chen
2023	J	`jnl`	Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems. CoRR Hao Zhang, Mingyue Cheng, Qi Liu, Zhiding Liu, Enhong Chen
2022	A*	`conf`	One Person, One Model - Learning Compound Router for Sequential Recommendation. ICDM Zhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen
2022	J	`jnl`	One Person, One Model-Learning Compound Router for Sequential Recommendation. CoRR Zhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen
2022	A*	`conf`	Towards Automatic Discovering of Deep Hybrid Network Architecture for Sequential Recommendation. WWW Mingyue Cheng, Zhiding Liu, Qi Liu, Shenyang Ge, Enhong Chen