Zihao Li

According to our database, Zihao Li authored at least 28 papers between 2022 and 2026.

Collaborative distances:

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

2026

Corrigendum: One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems.

Zuoli Tang, Zhaoxin Huan, Zihao Li, Xiaolu Zhang, Jun Hu, Chilin Fu, Jun Zhou, Lixin Zou, Chenliang Li

ACM Trans. Inf. Syst., May, 2026

Multi-Interest Recommendation: A Survey.

Zihao Li, Qiang Chen, Lixin Zou, Aixin Sun, Chenliang Li

ACM Trans. Inf. Syst., May, 2026

WEANet: Bridging wavelet inductive bias with network parameter initialization for time series modeling.

Chao Yang, Xinwen Zhang, Zihao Li, Yakun Chen, Zhongwen Guo

Neural Networks, 2026

Contrastive representation learning for multivariate time series classification based on temporal-frequency consistency.

Chao Yang, Yakun Chen, Zihao Li, Zhongwen Guo

Appl. Soft Comput., 2026

2025

One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems.

Zuoli Tang, Zhaoxin Huan, Zihao Li, Xiaolu Zhang, Jun Hu, Chilin Fu, Jun Zhou, Lixin Zou, Chenliang Li

ACM Trans. Inf. Syst., September, 2025

Large language models are few-shot multivariate time series classifiers.

Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guandong Xu

Data Min. Knowl. Discov., September, 2025

Listwise Preference Alignment Optimization for Tail Item Recommendation.

Zihao Li, Chao Yang, Tong Zhang, Yakun Chen, Xianzhi Wang, Guandong Xu, Daoyi Dong

CoRR, July, 2025

Deep multimodal learning for time series analysis in social computing: a survey.

Chao Yang, Yakun Chen, Zihao Li, Xianzhi Wang, Kaize Shi, Lina Yao, Guandong Xu, Zhongwen Guo

Int. J. Multim. Inf. Retr., June, 2025

Graph and Sequential Neural Networks in Session-based Recommendation: A Survey.

Zihao Li, Chao Yang, Yakun Chen, Xianzhi Wang, Hongxu Chen, Guandong Xu, Lina Yao, Michael Sheng

ACM Comput. Surv., February, 2025

Efficient and explainable sequential recommendation with language model.

Zihao Li, Lixin Zou, Chao Ma, Chenliang Li

Inf. Process. Manag., 2025

Reembedding and Reweighting are Needed for Tail Item Sequential Recommendation.

Zihao Li, Yakun Chen, Tong Zhang, Xianzhi Wang

Proceedings of the ACM on Web Conference 2025, 2025

Bridging the Gap: Consistent Image Outpainting via Training-Free Noise Optimization.

Na Li, Zihao Li, Zuoli Tang, Yuqing Yu, Lixin Zou, Chenliang Li

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

CharacterCraft: Bridging the Literature-Reality Dialogue Gap for Practical Role-Playing Agents.

Xuyan Yin, Xinran Yang, Zihao Li, Lixin Zou, Chenliang Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

SarRec: Statistically-guaranteed Augmented Retrieval for Recommendation.

Tong Zhang, Nitin Bisht, Zihao Li, Guandong Xu, Xianzhi Wang

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Token-level Preference Self-Alignment Optimization for Multi-style Outline Controllable Generation.

Zihao Li, Xuekong Xu, Ziyao Chen, Lixin Zou, Ethanhjwu Ethanhjwu, Qiang Chen, Chenliang Li

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Multi-view GCN for loan default risk prediction.

Zihao Li, Yakun Chen, Xianzhi Wang, Lina Yao, Guandong Xu

Neural Comput. Appl., July, 2024

DiffuRec: A Diffusion Model for Sequential Recommendation.

Zihao Li, Aixin Sun, Chenliang Li

ACM Trans. Inf. Syst., May, 2024

Disentangle interest trend and diversity for sequential recommendation.

Zihao Li, Yunfan Xie, Wei Emma Zhang, Pengfei Wang, Lixin Zou, Fei Li, Xiangyang Luo, Chenliang Li

Inf. Process. Manag., March, 2024

Exploring explicit and implicit graph learning for multivariate time series imputation.

Yakun Chen, Ruotong Hu, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu

Eng. Appl. Artif. Intell., January, 2024

Unified Visual Preference Learning for User Intent Understanding.

Yihua Wen, Si Chen, Yu Tian, Wanxian Guan, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng, Zihao Li, Lixin Zou, Chenliang Li

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

TEXT CAN BE FAIR: Mitigating Popularity Bias with PLMs by Learning Relative Preference.

Zuoli Tang, Zhaoxin Huan, Zihao Li, Shirui Hu, Xiaolu Zhang, Jun Zhou, Lixin Zou, Chenliang Li

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

Spectral and Geometric Spaces Representation Regularization for Multi-Modal Sequential Recommendation.

Zihao Li, Xuekong Xu, Zuoli Tang, Lixin Zou, Qian Wang, Chenliang Li

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

Efficient Sparse Attention needs Adaptive Token Release.

Chaoran Zhang, Lixin Zou, Dan Luo, Xiangyang Luo, Zihao Li, Min Tang, Chenliang Li

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems.

Zuoli Tang, Zhaoxin Huan, Zihao Li, Xiaolu Zhang, Jun Hu, Chilin Fu, Jun Zhou, Chenliang Li

CoRR, 2023

Exploiting Explicit and Implicit Item relationships for Session-based Recommendation.

Zihao Li, Xianzhi Wang, Chao Yang, Lina Yao, Julian J. McAuley, Guandong Xu

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Exploring the Effectiveness of Positional Embedding on Transformer-Based Architectures for Multivariate Time Series Classification.

Chao Yang, Yakun Chen, Zihao Li, Xianzhi Wang

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction.

Zihao Li, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu, Ee-Peng Lim

Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

Adaptive Graph Recurrent Network for Multivariate Time Series Imputation.

Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu

Proceedings of the Neural Information Processing - 29th International Conference, 2022