Wang, Chang-Dong

9 publications

AAAI 2025 Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning Zhe-Rui Yang, Jindong Han, Chang-Dong Wang, Hao Liu
ICLR 2025 Multimodal Quantitative Language for Generative Recommendation Jianyang Zhai, Zi-Feng Mai, Chang-Dong Wang, Feidiao Yang, Xiawu Zheng, Hui Li, Yonghong Tian
AAAI 2024 Knowledge-Aware Explainable Reciprocal Recommendation Kai-Huang Lai, Zhe-Rui Yang, Pei-Yuan Lai, Chang-Dong Wang, Mohsen Guizani, Min Chen
ECML-PKDD 2022 Basket Booster for Prototype-Based Contrastive Learning in Next Basket Recommendation Ting-Ting Su, Zhenyu He, Man-Sheng Chen, Chang-Dong Wang
AAAI 2021 Hybrid-Order Stochastic Block Model Xunxun Wu, Chang-Dong Wang, Pengfei Jiao
AAAI 2020 Multi-View Clustering in Latent Embedding Space Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang
IJCAI 2019 BPAM: Recommendation Based on BP Neural Network with Attention Mechanism Wu-Dong Xi, Ling Huang, Chang-Dong Wang, Yin-Yu Zheng, Jianhuang Lai
AAAI 2019 DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
AAAI 2019 Higher-Order Multi-Layer Community Detection Ling Huang, Chang-Dong Wang, Hong-Yang Chao