Publications

Maolin Wang, Yao Zhao, Jiajia Liu, Jingdong Chen, Chenyi Zhuang, Jinjie Gu, Ruocheng Guo, Xiangyu Zhao (2024). Large Multimodal Model Compression via Efficient Pruning and Distillation. WWW 2024 (Oral).

Sheng Zhang, Maolin Wang, Yao Zhao, Chenyi Zhuang, Ruocheng Guo, Xiangyu Zhao, Zijian Zhang, Hongzhi Yin (2024). DNS-Rec Data-aware Neural Architecture Search for Recommender Systems. (Equal Contribution) RecSys.

Maolin Wang, Yaoming Zhen, Yu Pan, Yao Zhao, Chenyi Zhuang, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao (2024). Tensorized Hypergraph Neural Networks. SDM 2024.

Kesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang, Dawei Yin (2023). User retention-oriented recommendation with decision transformer. WWW 2023.

Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao (2023). Federated Knowledge Graph Completion via Latent Embedding Sharing. ICDM 2023.

Yu Pan, Maolin Wang, Zenglin Xu (2022). TedNet: A Pytorch toolkit for tensor decomposition networks. in Neurocomputing.

Xiaopeng Li, Maolin Wang, Hing Cheung So (2021). An interpretable bi-branch neural network for matrix completion. (Equal Contribution) Signal Processing.

Maolin Wang, Zeyong Su, Xu Luo, Yu Pan, Shenggen Zheng, Zenglin Xu (2020). Concatenated tensor networks for deep multi-task learning. in ICONIP.

Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu (2019). Compressing recurrent neural networks with tensor ring for action recognition. in AAAI.

Maolin Wang, Chenbin Zhang, Yu Pan, Jing Xu, Zenglin Xu (2019). Tensor Ring Restricted Boltzmann Machine. (Oral) in IJCNN.