Chunyang Wang

27 papers A* 4A 5Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A conf
Adaptive Continual Learning with User-Incremental Forward Compatibility for Meta-Augmented Cold-Start Recommenders.
WSDM
Chunyang Wang, Xuhao Zhao, Wenze Ma, Zhaobo Wang, Yanmin Zhu, Haobing Liu
2026 J jnl
MESA: Plugin Meta-Modulation for Transformer-Based Cold-Start Sequential Recommendation.
ACM Trans. Knowl. Discov. Data
Xinyang Li, Yanmin Zhu, Chunyang Wang, Jiadi Yu, Feilong Tang
2025 J jnl
Dual-Adaptive Update Strategies-Enhanced Meta-Optimization for User Cold-Start Recommendation.
ACM Trans. Inf. Syst.
Xuhao Zhao, Yanmin Zhu, Chunyang Wang, Mengyuan Jing, Wenze Ma, Jiadi Yu, Feilong Tang
2025 A conf
Exploring the Tradeoff Between Diversity and Discrimination for Continuous Category Discovery.
CIKM
Ruobing Jiang, Yang Liu, Haobing Liu, Yanwei Yu, Chunyang Wang
2025 J jnl
Exploring the Tradeoff Between Diversity and Discrimination for Continuous Category Discovery.
CoRR
Ruobing Jiang, Yang Liu, Haobing Liu, Yanwei Yu, Chunyang Wang
2025 J jnl
Multi-Agent Deep Reinforcement Learning With Trajectory Prediction for Task Migration-Assisted Computation Offloading.
IEEE Trans. Mob. Comput.
Xinyi Zhang, Chunyang Wang, Yanmin Zhu, Jian Cao, Tong Liu
2024 J jnl
Contrastive Multi-view Interest Learning for Cross-domain Sequential Recommendation.
ACM Trans. Inf. Syst.
Tianzi Zang, Yanmin Zhu, Ruohan Zhang, Chunyang Wang, Ke Wang, Jiadi Yu
2024 J jnl
Graph Diffusion-Based Representation Learning for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng.
Zhaobo Wang, Yanmin Zhu, Chunyang Wang, Xuhao Zhao, Bo Li, Jiadi Yu, Feilong Tang
2024 — conf
Guiding Graph Learning with Denoised Modality for Multi-modal Recommendation.
DASFAA (6)
Yuexian Wang, Wenze Ma, Yanmin Zhu, Chunyang Wang, Zhaobo Wang, Feilong Tang, Jiadi Yu
2024 J jnl
Multi-agent reinforcement learning for vehicular task offloading with multi-step trajectory prediction.
CCF Trans. Pervasive Comput. Interact.
Xinyi Zhang, Yanmin Zhu, Chunyang Wang, Jian Cao, Yirong Chen, Jie Wang
2024 J jnl
Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation.
ACM Trans. Inf. Syst.
Ke Wang, Yanmin Zhu, Tianzi Zang, Chunyang Wang, Kuan Liu, Peibo Ma
2024 A* conf
Review-Enhanced Hierarchical Contrastive Learning for Recommendation.
AAAI
Ke Wang, Yanmin Zhu, Tianzi Zang, Chunyang Wang, Mengyuan Jing
2023 A* conf
A Preference Learning Decoupling Framework for User Cold-Start Recommendation.
SIGIR
Chunyang Wang, Yanmin Zhu, Aixin Sun, Zhaobo Wang, Ke Wang
2023 A* conf
Adaptive Graph Representation Learning for Next POI Recommendation.
SIGIR
Zhaobo Wang, Yanmin Zhu, Chunyang Wang, Wenze Ma, Bo Li, Jiadi Yu
2023 — conf
Disentangled Contrastive Learning for Cross-Domain Recommendation.
DASFAA (2)
Ruohan Zhang, Tianzi Zang, Yanmin Zhu, Chunyang Wang, Ke Wang, Jiadi Yu
2023 J jnl
Incorporating Heterogeneous User Behaviors and Social Influences for Predictive Analysis.
IEEE Trans. Big Data
Haobing Liu, Yanmin Zhu, Chunyang Wang, Jianyu Ding, Jiadi Yu, Feilong Tang
2023 J jnl
Learning Aspect-Aware High-Order Representations from Ratings and Reviews for Recommendation.
ACM Trans. Knowl. Discov. Data
Ke Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Chunyang Wang
2023 J jnl
Learning Shared Representations for Recommendation with Dynamic Heterogeneous Graph Convolutional Networks.
ACM Trans. Knowl. Discov. Data
Mengyuan Jing, Yanmin Zhu, Yanan Xu, Haobing Liu, Tianzi Zang, Chunyang Wang, Jiadi Yu
2023 J jnl
Multifaceted Relation-aware Meta-learning with Dual Customization for User Cold-start Recommendation.
ACM Trans. Knowl. Discov. Data
Chunyang Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Ke Wang, Jiadi Yu
2023 A conf
Task-Difficulty-Aware Meta-Learning with Adaptive Update Strategies for User Cold-Start Recommendation.
CIKM
Xuhao Zhao, Yanmin Zhu, Chunyang Wang, Mengyuan Jing, Jiadi Yu, Feilong Tang
2022 J jnl
Deep Meta-learning in Recommendation Systems: A Survey.
CoRR
Chunyang Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Jiadi Yu, Feilong Tang
2022 J jnl
Graph-Enhanced Spatial-Temporal Network for Next POI Recommendation.
ACM Trans. Knowl. Discov. Data
Zhaobo Wang, Yanmin Zhu, Qiaomei Zhang, Haobing Liu, Chunyang Wang, Tong Liu
2022 J jnl
Incorporating Heterogeneous User Behaviors and Social Influences for Predictive Analysis.
CoRR
Haobing Liu, Yanmin Zhu, Chunyang Wang, Jianyu Ding, Jiadi Yu, Feilong Tang
2022 — conf
Inter- and Intra-Domain Relation-Aware Heterogeneous Graph Convolutional Networks for Cross-Domain Recommendation.
DASFAA (2)
Ke Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Chunyang Wang, Kuan Liu
2022 A* conf
Learning Graph-based Disentangled Representations for Next POI Recommendation.
SIGIR
Zhaobo Wang, Yanmin Zhu, Haobing Liu, Chunyang Wang
2021 A conf
Enhancing User Interest Modeling with Knowledge-Enriched Itemsets for Sequential Recommendation.
CIKM
Chunyang Wang, Yanmin Zhu, Haobing Liu, Wenze Ma, Tianzi Zang, Jiadi Yu
2021 A conf
Modeling Inter-station Relationships with Attentive Temporal Graph Convolutional Network for Air Quality Prediction.
WSDM
Chunyang Wang, Yanmin Zhu, Tianzi Zang, Haobing Liu, Jiadi Yu