| 2026 | AAAI | EdGCL: Disentangling Social and Cognitive Homophily in Graph-Based Educational Recommender Systems. | Qingqing Liang, Chunyang Wang, Peiwei Xia, Yanan Zeng, Xin Liu, Xuesong Lu, Aoying Zhou |
| 2026 | SODA | Local Gibbs sampling beyond local uniformity. | Hongyang Liu, Chunyang Wang, Yitong Yin |
| 2026 | WSDM | Adaptive Continual Learning with User-Incremental Forward Compatibility for Meta-Augmented Cold-Start Recommenders. | Chunyang Wang, Xuhao Zhao, Wenze Ma, Zhaobo Wang, Yanmin Zhu, Haobing Liu |
| 2025 | CIKM | Exploring the Tradeoff Between Diversity and Discrimination for Continuous Category Discovery. | Ruobing Jiang, Yang Liu, Haobing Liu, Yanwei Yu, Chunyang Wang |
| 2025 | STOC | Phase Transitions via Complex Extensions of Markov Chains. | Jingcheng Liu, Chunyang Wang, Yitong Yin, Yixiao Yu |
| 2025 | STOC | Counting Random k-SAT near the Satisfiability Threshold. | Zongchen Chen, Aditya Lonkar, Chunyang Wang, Kuan Yang, Yitong Yin |
| 2024 | AAAI | Review-Enhanced Hierarchical Contrastive Learning for Recommendation. | Ke Wang, Yanmin Zhu, Tianzi Zang, Chunyang Wang, Mengyuan Jing |
| 2024 | DASFAA | Guiding Graph Learning with Denoised Modality for Multi-modal Recommendation. | Yuexian Wang, Wenze Ma, Yanmin Zhu, Chunyang Wang, Zhaobo Wang, Feilong Tang, Jiadi Yu |
| 2024 | FOCS | A Sampling Lovsz Local Lemma for Large Domain Sizes. | Chunyang Wang, Yitong Yin |
| 2023 | CIKM | Task-Difficulty-Aware Meta-Learning with Adaptive Update Strategies for User Cold-Start Recommendation. | Xuhao Zhao, Yanmin Zhu, Chunyang Wang, Mengyuan Jing, Jiadi Yu, Feilong Tang |
| 2023 | DASC | A Space-Saving Based MLCS Algorithm. | Botian Jiang, Chunyang Wang, Yuanyuan Fu, Hai-Lin Liu, Ping Guo, Yuping Wang |
| 2023 | DASFAA | Disentangled Contrastive Learning for Cross-Domain Recommendation. | Ruohan Zhang, Tianzi Zang, Yanmin Zhu, Chunyang Wang, Ke Wang, Jiadi Yu |
| 2023 | FOCS | Towards derandomising Markov chain Monte Carlo. | Weiming Feng, Heng Guo, Chunyang Wang, Jiaheng Wang, Yitong Yin |
| 2023 | PPoPP | PiPAD: Pipelined and Parallel Dynamic GNN Training on GPUs. | Chunyang Wang, Desen Sun, Yuebin Bai |
| 2023 | SIGIR | A Preference Learning Decoupling Framework for User Cold-Start Recommendation. | Chunyang Wang, Yanmin Zhu, Aixin Sun, Zhaobo Wang, Ke Wang |
| 2023 | SIGIR | Adaptive Graph Representation Learning for Next POI Recommendation. | Zhaobo Wang, Yanmin Zhu, Chunyang Wang, Wenze Ma, Bo Li, Jiadi Yu |
| 2023 | SODA | Deterministic counting Lovsz local lemma beyond linear programming. | Kun He, Chunyang Wang, Yitong Yin |
| 2022 | DASFAA | Inter- and Intra-Domain Relation-Aware Heterogeneous Graph Convolutional Networks for Cross-Domain Recommendation. | Ke Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Chunyang Wang, Kuan Liu |
| 2022 | FOCS | Sampling Lovsz local lemma for general constraint satisfaction solutions in near-linear time. | Kun He, Chunyang Wang, Yitong Yin |
| 2022 | SIGIR | Learning Graph-based Disentangled Representations for Next POI Recommendation. | Zhaobo Wang, Yanmin Zhu, Haobing Liu, Chunyang Wang |
| 2021 | CIKM | Enhancing User Interest Modeling with Knowledge-Enriched Itemsets for Sequential Recommendation. | Chunyang Wang, Yanmin Zhu, Haobing Liu, Wenze Ma, Tianzi Zang, Jiadi Yu |
| 2021 | IWCMC | Application of 5G Mobile Communication Technology in Specific Environment of Power System. | Xin Sun, Fei Zhang, Chunyang Wang, Bin Lv |
| 2021 | WSDM | Modeling Inter-station Relationships with Attentive Temporal Graph Convolutional Network for Air Quality Prediction. | Chunyang Wang, Yanmin Zhu, Tianzi Zang, Haobing Liu, Jiadi Yu |
| 2019 | CIS | An Improved Subspace Clustering Algorithm Based on Sparse Representation. | Xiaohe Wang, Yuping Wang, Chunyang Wang, Dandan Tang |
| 2018 | COMPSAC | Towards Fault-Tolerant Task Backup and Recovery in the seL4 Microkernel. | Guangqiang Luan, Yuebin Bai, Libin Xu, Chao Yu, Chunyang Wang, Junfang Zeng, Qingbin Chen, Weitao Wang |
| 2018 | ISPA | An Efficient Checkpoint and Recovery Mechanism for Real-Time Embedded Systems. | Guangqiang Luan, Yuebin Bai, Chunyang Wang, Junfang Zeng, Qingbin Chen |
| 2016 | ICPADS | Research on Semi-Supervised Learning for Hyperspectral Remote Sensing Imaging Classification Base on Confidence Entropy. | Chunyang Wang, Zhifang Xu, Shuangting Wang, Hebing Zhang, Zhichao Chen |
| 2015 | VTC | Practical Spatiotemporal Compressive Network Coding for Energy-Efficient Distributed Data Storage in Wireless Sensor Networks. | Chunyang Wang, Peng Cheng, Zhuo Chen, Ning Liu, Lin Gui |