One Person, One Model - Learning Compound Router for Sequential Recommendation. - Zhiding Liu; Mingyue Cheng; Zhi Li 057; Qi Liu 003; Enhong Chen (ICDM, 2022)

Towards Automatic Discovering of Deep Hybrid Network Architecture for Sequential Recommendation. - Mingyue Cheng; Zhiding Liu; Qi Liu 003; Shenyang Ge; Enhong Chen (WWW, 2022)

Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems. - Guanhao Zhao; Zhenya Huang; Yan Zhuang; Jiayu Liu 001; Qi Liu 003; Zhiding Liu; Jinze Wu; Enhong Chen (CIKM, 2023)

Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective. - Zhiding Liu; Mingyue Cheng; Zhi Li 057; Zhenya Huang; Qi Liu 003; Yanhu Xie; Enhong Chen (NeurIPS, 2023)

FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification. - Mingyue Cheng; Qi Liu 003; Zhiding Liu; Zhi Li 057; Yucong Luo; Enhong Chen (WWW, 2023)

TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders. - Mingyue Cheng; Qi Liu 003; Zhiding Liu; Hao Zhang 088; Rujiao Zhang; Enhong Chen (CoRR, 2023)

Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems. - Hao Zhang 088; Mingyue Cheng; Qi Liu 003; Zhiding Liu; Enhong Chen (CoRR, 2023)

Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information. - Rujiao Zhang; Hao Zhang 088; Yucong Luo; Zhiding Liu; Mingyue Cheng; Qi Liu 003; Enhong Chen (CIKM, 2024)

Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling. - Junzhe Jiang 001; Shang Qu; Mingyue Cheng; Qi Liu 003; Zhiding Liu; Hao Zhang 088; Rujiao Zhang; Kai Zhang 038; Rui Li 093; Jiatong Li 002; Min Gao (DASFAA (3), 2024)

Generative Pretrained Hierarchical Transformer for Time Series Forecasting. - Zhiding Liu; Jiqian Yang; Mingyue Cheng; Yucong Luo; Zhi Li 057 (KDD, 2024)

Advancing Time Series Classification with Multimodal Language Modeling. - Mingyue Cheng; Yiheng Chen; Qi Liu; Zhiding Liu; Yucong Luo (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)

Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation. - Li Li; Mingyue Cheng; Zhiding Liu; Hao Zhang 088; Qi Liu 003; Enhong Chen (CoRR, 2024)

Diffusion Auto-regressive Transformer for Effective Self-supervised Time Series Forecasting. - Daoyu Wang; Mingyue Cheng; Zhiding Liu; Qi Liu 003; Enhong Chen (CoRR, 2024)

FDF: Flexible Decoupled Framework for Time Series Forecasting with Conditional Denoising and Polynomial Modeling. - Jintao Zhang; Mingyue Cheng; Xiaoyu Tao 001; Zhiding Liu; Daoyu Wang (CoRR, 2024)

DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting. - Zhiding Liu; Jiqian Yang; Qingyang Mao; Yuze Zhao; Mingyue Cheng; Zhi Li 057; Qi Liu 003; Enhong Chen (CoRR, 2024)

A general tail item representation enhancement framework for sequential recommendation. - Mingyue Cheng; Qi Liu 003; Wenyu Zhang; Zhiding Liu; Hongke Zhao; Enhong Chen (Frontiers Comput. Sci., 2024)

Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment. - Yuze Zhao; Tianyun Ji; Wenjun Feng; Zhenya Huang; Qi Liu 003; Zhiding Liu; Yixiao Ma; Kai Zhang 038; Enhong Chen (ICLR, 2025)

InstrucTime: Advancing Time Series Classification with Multimodal Language Modeling. - Mingyue Cheng; Yiheng Chen; Qi Liu 003; Zhiding Liu; Yucong Luo; Enhong Chen (WSDM, 2025)

Improving Time Series Forecasting via Instance-aware Post-hoc Revision. - Zhiding Liu; Mingyue Cheng; Guanhao Zhao; Jiqian Yang; Qi Liu 003; Enhong Chen (CoRR, 2025)