Maolin Wang

According to our database, Maolin Wang authored at least 20 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bidirectional Gated Mamba for Sequential Recommendation.

Ziwei Liu, Qidong Liu, Yejing Wang, Wanyu Wang, Pengyue Jia, Maolin Wang, Zitao Liu, Yi Chang, Xiangyu Zhao

CoRR, 2024

GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems.

Sheng Zhang, Maolin Wang, Xiangyu Zhao

CoRR, 2024

Privacy in LLM-based Recommendation: Recent Advances and Future Directions.

Sichun Luo, Wei Shao, Yuxuan Yao, Jian Xu, Mingyang Liu, Qintong Li, Bowei He, Maolin Wang, Guanzhi Deng, Hanxu Hou, Xinyi Zhang, Linqi Song

CoRR, 2024

EASRec: Elastic Architecture Search for Efficient Long-term Sequential Recommender Systems.

Sheng Zhang, Maolin Wang, Yao Zhao, Chenyi Zhuang, Jinjie Gu, Ruocheng Guo, Xiangyu Zhao, Zijian Zhang, Hongzhi Yin

CoRR, 2024

Cumulative Distribution Function based General Temporal Point Processes.

Maolin Wang, Yu Pan, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu, Langming Liu

CoRR, 2024

Large Multimodal Model Compression via Iterative Efficient Pruning and Distillation.

Maolin Wang, Yao Zhao, Jiajia Liu, Jingdong Chen, Chenyi Zhuang, Jinjie Gu, Ruocheng Guo, Xiangyu Zhao

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Tensorized Hypergraph Neural Networks.

Maolin Wang, Yaoming Zhen, Yu Pan, Yao Zhao, Chenyi Zhuang, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems.

Sheng Zhang, Maolin Wang, Xiangyu Zhao, Ruocheng Guo, Yao Zhao, Chenyi Zhuang, Jinjie Gu, Zijian Zhang, Hongzhi Yin

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

Large Multimodal Model Compression via Efficient Pruning and Distillation at AntGroup.

Maolin Wang, Yao Zhao, Jiajia Liu, Jingdong Chen, Chenyi Zhuang, Jinjie Gu, Ruocheng Guo, Xiangyu Zhao

CoRR, 2023

On the Opportunities of Green Computing: A Survey.

You Zhou, Xiujing Lin, Xiang Zhang, Maolin Wang, Gangwei Jiang, Huakang Lu, Yupeng Wu, Kai Zhang, Zhe Yang, Kehang Wang, Yongduo Sui, Fengwei Jia, Zuoli Tang, Yao Zhao, Hongxuan Zhang, Tiannuo Yang, Weibo Chen, Yunong Mao, Yi Li, De Bao, Yu Li, Hongrui Liao, Ting Liu, Jingwen Liu, Jinchi Guo, Xiangyu Zhao, Ying Wei, Hong Qian, Qi Liu, Xiang Wang, Wai Kin Chan, Chenliang Li, Yusen Li, Shiyu Yang, Jining Yan, Chao Mou, Shuai Han, Wuxia Jin, Guannan Zhang, Xiaodong Zeng

CoRR, 2023

Embedding in Recommender Systems: A Survey.

Xiangyu Zhao, Maolin Wang, Xinjian Zhao, Jiansheng Li, Shucheng Zhou, Dawei Yin, Qing Li, Jiliang Tang, Ruocheng Guo

CoRR, 2023

Tensorized Hypergraph Neural Networks.

Maolin Wang, Yaoming Zhen, Yu Pan, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao

CoRR, 2023

Tensor Networks Meet Neural Networks: A Survey.

Maolin Wang, Yu Pan, Xiangli Yang, Guangxi Li, Zenglin Xu

CoRR, 2023

User Retention-oriented Recommendation with Decision Transformer.

Kesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang, Dawei Yin

Proceedings of the ACM Web Conference 2023, 2023

Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization.

Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

An interpretable bi-branch neural network for matrix completion.

Xiao Peng Li, Maolin Wang, Hing Cheung So

Signal Process., 2022

TedNet: A Pytorch toolkit for tensor decomposition networks.

Yu Pan, Maolin Wang, Zenglin Xu

Neurocomputing, 2022

2020

Concatenated Tensor Networks for Deep Multi-Task Learning.

Maolin Wang, Zeyong Su, Xu Luo, Yu Pan, Shenggen Zheng, Zenglin Xu

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

Tensor Ring Restricted Boltzmann Machines.

Maolin Wang, Chenbin Zhang, Yu Pan, Jing Xu, Zenglin Xu

Proceedings of the International Joint Conference on Neural Networks, 2019

Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition.

Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019