Wu, Zhengwei

8 publications

AAAI 2025 Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts Gong-Duo Zhang, Ruiqing Chen, Qian Zhao, Zhengwei Wu, Fengyu Han, Huan-Yi Su, Ziqi Liu, Lihong Gu, Lin Zhou

ECML-PKDD 2024 Adaptively Denoising Graph Neural Networks for Knowledge Distillation Yuxin Guo, Cheng Yang, Chuan Shi, Ke Tu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou

ECML-PKDD 2023 Boosting Adaptive Graph Augmented MLPs via Customized Knowledge Distillation Shaowei Wei, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou

ECML-PKDD 2023 Long-Tail Augmented Graph Contrastive Learning for Recommendation Qian Zhao, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou

ICLRW 2022 Decoupled Graph Neural Networks Based on Label Agreement Message Propagation Zhicheng An, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Jun Zhou, Yue Wang, Shao-Lun Huang

IJCAI 2022 MERIT: Learning Multi-Level Representations on Temporal Graphs Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen

AAAI 2021 Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing Li Yu, Zhengwei Wu, Tianchi Cai, Ziqi Liu, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jinjie Gu

NeurIPS 2020 Bandit Samplers for Training Graph Neural Networks Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi