Areas of Focus
- Graph Data Mining
- Artificial Intelligence
- Graph Neural Networks
- Deep Clustering
- Anomaly Detection
Publications
- Distilling Holistic Knowledge with Graph Neural Networks, Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu, 2021
- Direction-Aware User Recommendation Based on Asymmetric Network Embedding, Sheng Zhou, Xin Wang, Martin Ester, Bolang Li, Chen Ye, Zhen Zhang, Can Wang, Jiajun Bu, 2021
- DGE: Deep Generative Network Embedding Based on Commonality and Individuality, Sheng Zhou, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jiawei Chen, Qihao Shi, Can Wang, 2020
- Prre: Personalized relation ranking embedding for attributed networks, Sheng Zhou, Hongxia Yang, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jianwei Zhang, Can Wang, 2018
- Cross Multi-Type Objects Clustering in Attributed Heterogeneous Information Network, Sheng Zhou, Jiajun Bu, Zhen Zhang, Can Wang, Lingzhou Ma, Jianfeng Zhang
- HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding, Sheng Zhou, Jiajun Bu, Xin Wang, Jiawei Chen, Can Wang, 2019
- An improved non-negative matrix factorization algorithm based on genetic algorithm, Sheng Zhou, Zhi Yu, Can Wang, 2014
- RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on, Chao Lin, Zhao Li, Sheng Zhou*, Shichang Hu, Jialun Zhang, Linhao Luo, Jiarun Zhang, Longtao Huang, Yuan He, 2022
- Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding, Can Wang, Sheng Zhou*, Kang Yu, Defang Chen, Bolang Li, Yan Feng, Chun Chen, 2022
- Efficient Medical Image Segmentation Based on Knowledge Distillation, Dian Qin, Jia-Jun Bu, Zhe Liu, Xin Shen, Sheng Zhou, Jing-Jun Gu, Zhi-Hua Wang, Lei Wu, Hui-Fen Dai, 2021
- CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation, Jiawei Chen, Chenquan Jiang, Can Wang, Sheng Zhou, Yen Feng, Chun Chen, Martin Ester, Xiangnan He
- SamWalker++: Recommendation with Informative Sampling Strategy, Can Wang, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen
- Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification, Ning Ma, Jiajun Bu, Jieyu Yang, Zhen Zhang, Chengwei Yao, Zhi Yu, Sheng Zhou, Xifeng Yan, 2020
- Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback, Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen, 2020
- Samwalker: Social recommendation with informative sampling strategy, Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, 2019
- Modeling Users' Exposure with Social Knowledge Influence and Consumption Influence for Recommendation, Jiawei Chen, Yan Feng, Martin Ester, Sheng Zhou, Chun Chen, Can Wang, 2018
- ANRL: Attributed Network Representation Learning via Deep Neural Networks, Zhen Zhang, Hongxia Yang, Jiajun Bu, Sheng Zhou, Pinggang Yu, Jianwei Zhang, Martin Ester, Can Wang, 2018
Awards
- ICDM Cup Champion
- CIKM Cup Champion
- KDD Cup Third Place
- WSDM Cup Third Place
