Zihao Li

30 papers A* 2A 5B 1Journal 17Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Contrastive representation learning for multivariate time series classification based on temporal-frequency consistency.
Appl. Soft Comput.
Chao Yang, Yakun Chen, Zihao Li, Zhongwen Guo
2025 A* conf
Bridging the Gap: Consistent Image Outpainting via Training-Free Noise Optimization.
ACM Multimedia
Na Li, Zihao Li, Zuoli Tang, Yuqing Yu, Lixin Zou, Chenliang Li
2025 — conf
CharacterCraft: Bridging the Literature-Reality Dialogue Gap for Practical Role-Playing Agents.
EMNLP (Findings)
Xuyan Yin, Xinran Yang, Zihao Li, Lixin Zou, Chenliang Li
2025 J jnl
Deep multimodal learning for time series analysis in social computing: a survey.
Int. J. Multim. Inf. Retr.
Chao Yang, Yakun Chen, Zihao Li, Xianzhi Wang, Kaize Shi, Lina Yao, Guandong Xu, Zhongwen Guo
2025 J jnl
Efficient and explainable sequential recommendation with language model.
Inf. Process. Manag.
Zihao Li, Lixin Zou, Chao Ma, Chenliang Li
2025 J jnl
Graph and Sequential Neural Networks in Session-based Recommendation: A Survey.
ACM Comput. Surv.
Zihao Li, Chao Yang, Yakun Chen, Xianzhi Wang, Hongxu Chen, Guandong Xu, Lina Yao, Michael Sheng
2025 J jnl
Large Language Models are Few-shot Multivariate Time Series Classifiers.
CoRR
Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guandong Xu
2025 J jnl
Large language models are few-shot multivariate time series classifiers.
Data Min. Knowl. Discov.
Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guandong Xu
2025 J jnl
Listwise Preference Alignment Optimization for Tail Item Recommendation.
CoRR
Zihao Li, Chao Yang, Tong Zhang, Yakun Chen, Xianzhi Wang, Guandong Xu, Daoyi Dong
2025 J jnl
Multi-Interest Recommendation: A Survey.
CoRR
Zihao Li, Qiang Chen, Lixin Zou, Aixin Sun, Chenliang Li
2025 J jnl
One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems.
ACM Trans. Inf. Syst.
Zuoli Tang, Zhaoxin Huan, Zihao Li, Xiaolu Zhang, Jun Hu, Chilin Fu, Jun Zhou, Lixin Zou, Chenliang Li
2025 A* conf
Reembedding and Reweighting are Needed for Tail Item Sequential Recommendation.
WWW
Zihao Li, Yakun Chen, Tong Zhang, Xianzhi Wang
2025 A conf
SarRec: Statistically-guaranteed Augmented Retrieval for Recommendation.
CIKM
Tong Zhang, Nitin Bisht, Zihao Li, Guandong Xu, Xianzhi Wang
2025 — conf
Token-level Preference Self-Alignment Optimization for Multi-style Outline Controllable Generation.
ACL (Findings)
Zihao Li, Xuekong Xu, Ziyao Chen, Lixin Zou, Ethanhjwu Ethanhjwu, Qiang Chen, Chenliang Li
2024 J jnl
DiffuRec: A Diffusion Model for Sequential Recommendation.
ACM Trans. Inf. Syst.
Zihao Li, Aixin Sun, Chenliang Li
2024 J jnl
Disentangle interest trend and diversity for sequential recommendation.
Inf. Process. Manag.
Zihao Li, Yunfan Xie, Wei Emma Zhang, Pengfei Wang, Lixin Zou, Fei Li, Xiangyang Luo, Chenliang Li
2024 — conf
Efficient Sparse Attention needs Adaptive Token Release.
ACL (Findings)
Chaoran Zhang, Lixin Zou, Dan Luo, Xiangyang Luo, Zihao Li, Min Tang, Chenliang Li
2024 J jnl
Efficient Sparse Attention needs Adaptive Token Release.
CoRR
Chaoran Zhang, Lixin Zou, Dan Luo, Min Tang, Xiangyang Luo, Zihao Li, Chenliang Li
2024 J jnl
Exploring explicit and implicit graph learning for multivariate time series imputation.
Eng. Appl. Artif. Intell.
Yakun Chen, Ruotong Hu, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu
2024 J jnl
Graph and Sequential Neural Networks in Session-based Recommendation: A Survey.
CoRR
Zihao Li, Chao Yang, Yakun Chen, Xianzhi Wang, Hongxu Chen, Guandong Xu, Lina Yao, Quan Z. Sheng
2024 J jnl
Multi-view GCN for loan default risk prediction.
Neural Comput. Appl.
Zihao Li, Yakun Chen, Xianzhi Wang, Lina Yao, Guandong Xu
2024 A conf
Spectral and Geometric Spaces Representation Regularization for Multi-Modal Sequential Recommendation.
CIKM
Zihao Li, Xuekong Xu, Zuoli Tang, Lixin Zou, Qian Wang, Chenliang Li
2024 A conf
TEXT CAN BE FAIR: Mitigating Popularity Bias with PLMs by Learning Relative Preference.
CIKM
Zuoli Tang, Zhaoxin Huan, Zihao Li, Shirui Hu, Xiaolu Zhang, Jun Zhou, Lixin Zou, Chenliang Li
2024 A conf
Unified Visual Preference Learning for User Intent Understanding.
WSDM
Yihua Wen, Si Chen, Yu Tian, Wanxian Guan, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng, Zihao Li, Lixin Zou, Chenliang Li
2023 J jnl
DiffuRec: A Diffusion Model for Sequential Recommendation.
CoRR
Zihao Li, Aixin Sun, Chenliang Li
2023 A conf
Exploiting Explicit and Implicit Item relationships for Session-based Recommendation.
WSDM
Zihao Li, Xianzhi Wang, Chao Yang, Lina Yao, Julian J. McAuley, Guandong Xu
2023 — conf
Exploring the Effectiveness of Positional Embedding on Transformer-Based Architectures for Multivariate Time Series Classification.
ADMA (1)
Chao Yang, Yakun Chen, Zihao Li, Xianzhi Wang
2023 J jnl
One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems.
CoRR
Zuoli Tang, Zhaoxin Huan, Zihao Li, Xiaolu Zhang, Jun Hu, Chilin Fu, Jun Zhou, Chenliang Li
2022 — conf
Adaptive Graph Recurrent Network for Multivariate Time Series Imputation.
ICONIP (5)
Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu
2022 B conf
Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction.
WISE
Zihao Li, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu, Ee-Peng Lim