Sheng Zhou

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 66

Top Topics

Structure Learning

Graph Structure

Tree Reweighted

Top Venues

Neural Networks

Publications

Zhiyao Zhou, Sheng Zhou, Bochao Mao, Jiawei Chen, Qingyun Sun, Yan Feng, Chun Chen, Can Wang
Motif-driven Subgraph Structure Learning for Graph Classification. CoRR (2024)
Xiaojun Ye, Junhao Chen, Xiang Li, Haidong Xin, Chao Li, Sheng Zhou, Jiajun Bu
MMAD: Multi-modal Movie Audio Description. LREC/COLING (2024)
Bohao Wang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi, Yang Gao, Yan Feng, Chun Chen, Can Wang
Distributionally Robust Graph-based Recommendation System. CoRR (2024)
Zhuonan Zheng, Sheng Zhou, Hongjia Xu, Ming Gu, Yilun Xu, Ao Li, Yuhong Li, Jingjun Gu, Jiajun Bu
Heterophilous Distribution Propagation for Graph Neural Networks. CoRR (2024)
Yuanchen Bei, Hao Xu, Sheng Zhou, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. ICDE (2024)
Sirui Chen, Jiawei Chen, Sheng Zhou, Bohao Wang, Shen Han, Chanfei Su, Yuqing Yuan, Can Wang
SIGformer: Sign-aware Graph Transformer for Recommendation. SIGIR (2024)
Meihan Liu, Zhen Zhang, Jiachen Tang, Jiajun Bu, Bingsheng He, Sheng Zhou
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation. CoRR (2024)
Meihan Liu, Zeyu Fang, Zhen Zhang, Ming Gu, Sheng Zhou, Xin Wang, Jiajun Bu
Rethinking Propagation for Unsupervised Graph Domain Adaptation. AAAI (2024)
Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu
GC-Bench: An Open and Unified Benchmark for Graph Condensation. CoRR (2024)
Jingru Li, Sheng Zhou, Liangcheng Li, Haishuai Wang, Jiajun Bu, Zhi Yu
AdaDFKD: Exploring adaptive inter-sample relationship in data-free knowledge distillation. Neural Networks 177 (2024)
Can Wang, Zhe Wang, Defang Chen, Sheng Zhou, Yan Feng, Chun Chen
Online adversarial knowledge distillation for graph neural networks. Expert Syst. Appl. 237 (Part C) (2024)
Xixi Zhou, Xin Jie, Sheng Zhou, Keyue Shi, Zhi Yu, Jiajun Bu, Haishuai Wang
Inversive-Reasoning Augmentation for Natural Language Inference. ICASSP (2024)
Yuanchen Bei, Sheng Zhou, Jinke Shi, Yao Ma, Haishuai Wang, Jiajun Bu
Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection. CoRR (2024)
Bohao Wang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi, Yang Gao, Yan Feng, Chun Chen, Can Wang
Distributionally Robust Graph-based Recommendation System. WWW (2024)
Zhe Wang, Sheng Zhou, Jiawei Chen, Zhen Zhang, Binbin Hu, Yan Feng, Chun Chen, Can Wang
Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding. CoRR (2024)
Yuyan Liu, Sirui Ding, Sheng Zhou, Wenqi Fan, Qiaoyu Tan
MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property Prediction. CoRR (2024)
Siyi Lin, Chongming Gao, Jiawei Chen, Sheng Zhou, Binbin Hu, Can Wang
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective. CoRR (2024)
Zhonghao Wang, Danyu Sun, Sheng Zhou, Haobo Wang, Jiapei Fan, Longtao Huang, Jiajun Bu
NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise. CoRR (2024)
Zeyu Fang, Ming Gu, Sheng Zhou, Jiawei Chen, Qiaoyu Tan, Haishuai Wang, Jiajun Bu
Towards a Unified Framework of Clustering-based Anomaly Detection. CoRR (2024)
Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang
Macro Graph Neural Networks for Online Billion-Scale Recommender Systems. WWW (2024)
Chengyu Lai, Sheng Zhou, Zhimeng Jiang, Qiaoyu Tan, Yuanchen Bei, Jiawei Chen, Ningyu Zhang, Jiajun Bu
Better Late Than Never: Formulating and Benchmarking Recommendation Editing. CoRR (2024)
Meihan Liu, Zhen Zhang, Ning Ma, Ming Gu, Haishuai Wang, Sheng Zhou, Jiajun Bu
Structure enhanced prototypical alignment for unsupervised cross-domain node classification. Neural Networks 177 (2024)
Zhuonan Zheng, Yuanchen Bei, Sheng Zhou, Yao Ma, Ming Gu, Hongjia Xu, Chengyu Lai, Jiawei Chen, Jiajun Bu
Revisiting the Message Passing in Heterophilous Graph Neural Networks. CoRR (2024)
Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang
Macro Graph Neural Networks for Online Billion-Scale Recommender Systems. CoRR (2024)
Sirui Chen, Jiawei Chen, Sheng Zhou, Bohao Wang, Shen Han, Chanfei Su, Yuqing Yuan, Can Wang
SIGformer: Sign-aware Graph Transformer for Recommendation. CoRR (2024)
Gang Chen, Jiawei Chen, Fuli Feng, Sheng Zhou, Xiangnan He
Unbiased Knowledge Distillation for Recommendation. WSDM (2023)
Hao Xu, Huixuan Chi, Danyang Liu, Sheng Zhou, Mengdi Zhang
DPGN: Denoising Periodic Graph Network for Life Service Recommendation. CIKM (2023)
Zijie Song, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang
CDR: Conservative Doubly Robust Learning for Debiased Recommendation. CoRR (2023)
Huixuan Chi, Hao Xu, Mengya Liu, Yuanchen Bei, Sheng Zhou, Danyang Liu, Mengdi Zhang
Modeling Spatiotemporal Periodicity and Collaborative Signal for Local-Life Service Recommendation. CoRR (2023)
Chunpeng Zhou, Kangjie Ning, Haishuai Wang, Zhi Yu, Sheng Zhou, Jiajun Bu
Multi-View Fusion and Distillation for Subgrade Distresses Detection based on 3D-GPR. CoRR (2023)
Zijie Song, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang
CDR: Conservative Doubly Robust Learning for Debiased Recommendation. CIKM (2023)
Ming Gu, Gaoming Yang, Sheng Zhou, Ning Ma, Jiawei Chen, Qiaoyu Tan, Meihan Liu, Jiajun Bu
Homophily-enhanced Structure Learning for Graph Clustering. CoRR (2023)
Qihao Shi, Bingyang Fu, Can Wang, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen
Robust Sequence Networked Submodular Maximization. AAAI (2023)
Zihao Zhao, Jiawei Chen, Sheng Zhou, Xiangnan He, Xuezhi Cao, Fuzheng Zhang, Wei Wu
Popularity Bias is not Always Evil: Disentangling Benign and Harmful Bias for Recommendation. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Can Wang, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen
SamWalker++: Recommendation With Informative Sampling Strategy. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Sheng Zhou, Zhe Wang, Kewen Wang, Zhiqiang Zhuang
Zero-Shot Entity Typing in Knowledge Graphs. DASFAA (Workshops) (2023)
Ming Gu, Gaoming Yang, Sheng Zhou, Ning Ma, Jiawei Chen, Qiaoyu Tan, Meihan Liu, Jiajun Bu
Homophily-enhanced Structure Learning for Graph Clustering. CIKM (2023)
Chunpeng Zhou, Haishuai Wang, Sheng Zhou, Zhi Yu, Danushka Bandara, Jiajun Bu
Hierarchical Knowledge Propagation and Distillation for Few-Shot Learning. Neural Networks 167 (2023)
Yuanchen Bei, Hao Xu, Sheng Zhou, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. CoRR (2023)
Zhiyao Zhou, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Yan Feng, Chun Chen, Can Wang
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning. NeurIPS (2023)
Ning Ma, Haishuai Wang, Zhen Zhang, Sheng Zhou, Hongyang Chen, Jiajun Bu
Source-free semi-supervised domain adaptation via progressive Mixup. Knowl. Based Syst. 262 (2023)
Jiawei Chen, Junkang Wu, Jiancan Wu, Xuezhi Cao, Sheng Zhou, Xiangnan He
Adap-τ : Adaptively Modulating Embedding Magnitude for Recommendation. WWW (2023)
Yuanchen Bei, Hao Chen, Shengyuan Chen, Xiao Huang, Sheng Zhou, Feiran Huang
Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction. CIKM (2023)
Zhiyao Zhou, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Can Wang, Yan Feng, Chun Chen
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning. CoRR (2023)
Jiawei Chen, Junkang Wu, Jiancan Wu, Sheng Zhou, Xuezhi Cao, Xiangnan He
Adap-tau: Adaptively Modulating Embedding Magnitude for Recommendation. CoRR (2023)
Xixi Zhou, Jiajun Bu, Sheng Zhou, Zhi Yu, Ji Zhao, Xifeng Yan
Improving topic disentanglement via contrastive learning. Inf. Process. Manag. 60 (2) (2023)
Sheng Zhou, Hongjia Xu, Zhuonan Zheng, Jiawei Chen, Zhao Li, Jiajun Bu, Jia Wu, Xin Wang, Wenwu Zhu, Martin Ester
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions. CoRR (2022)
Jingru Li, Sheng Zhou, Liangcheng Li, Xifeng Yan, Zhi Yu, Jiajun Bu
How to Teach: Learning Data-Free Knowledge Distillation from Curriculum. CoRR (2022)
Ning Ma, Hongyi Zhang, Xuhui Li, Sheng Zhou, Zhen Zhang, Jun Wen, Haifeng Li, Jingjun Gu, Jiajun Bu
Learning Spatial-Preserved Skeleton Representations for Few-Shot Action Recognition. ECCV (4) (2022)
Ning Ma, Jiajun Bu, Lixian Lu, Jun Wen, Sheng Zhou, Zhen Zhang, Jingjun Gu, Haifeng Li, Xifeng Yan
Context-guided entropy minimization for semi-supervised domain adaptation. Neural Networks 154 (2022)
Qihao Shi, Bingyang Fu, Can Wang, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen
Robust Sequence Networked Submodular Maximization. CoRR (2022)
Dian Qin, Haishuai Wang, Zhe Liu, Hongjia Xu, Sheng Zhou, Jiajun Bu
Hilbert Distillation for Cross-Dimensionality Networks. CoRR (2022)
Can Wang, Sheng Zhou, Kang Yu, Defang Chen, Bolang Li, Yan Feng, Chun Chen
Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding. WWW (2022)
Sheng Zhou, Xin Wang, Martin Ester, Bolang Li, Chen Ye, Zhen Zhang, Can Wang, Jiajun Bu
Direction-Aware User Recommendation Based on Asymmetric Network Embedding. ACM Trans. Inf. Syst. 40 (2) (2022)
Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu
Distilling Holistic Knowledge with Graph Neural Networks. ICCV (2021)
Ning Ma, Jiajun Bu, Lixian Lu, Jun Wen, Zhen Zhang, Sheng Zhou, Xifeng Yan
Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation. CoRR (2021)
Dian Qin, Jiajun Bu, Zhe Liu, Xin Shen, Sheng Zhou, Jingjun Gu, Zhijua Wang, Lei Wu, Huifen Dai
Efficient Medical Image Segmentation Based on Knowledge Distillation. IEEE Trans. Medical Imaging 40 (12) (2021)
Ning Ma, Jiajun Bu, Zhen Zhang, Sheng Zhou
Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data. CoRR (2021)
Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu
Distilling Holistic Knowledge with Graph Neural Networks. CoRR (2021)
Dian Qin, Jiajun Bu, Zhe Liu, Xin Shen, Sheng Zhou, Jingjun Gu, Zhijua Wang, Lei Wu, Huifen Dai
Efficient Medical Image Segmentation Based on Knowledge Distillation. CoRR (2021)
Sheng Zhou, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jiawei Chen, Qihao Shi, Can Wang
DGE: Deep Generative Network Embedding Based on Commonality and Individuality. AAAI (2020)
Ning Ma, Jiajun Bu, Jieyu Yang, Zhen Zhang, Chengwei Yao, Zhi Yu, Sheng Zhou, Xifeng Yan
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification. CIKM (2020)
Sheng Zhou, Jiajun Bu, Zhen Zhang, Can Wang, Lingzhou Ma, Jianfeng Zhang
Cross Multi-Type Objects Clustering in Attributed Heterogeneous Information Network. Knowl. Based Syst. 194 (2020)
Sheng Zhou, Jiajun Bu, Xin Wang, Jiawei Chen, Bingbing Hu, Defang Chen, Can Wang
HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding. CoRR (2019)
Sheng Zhou, Hongxia Yang, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jianwei Zhang, Can Wang
PRRE: Personalized Relation Ranking Embedding for Attributed Networks. CIKM (2018)
Zhen Zhang, Hongxia Yang, Jiajun Bu, Sheng Zhou, Pinggang Yu, Jianwei Zhang, Martin Ester, Can Wang
ANRL: Attributed Network Representation Learning via Deep Neural Networks. IJCAI (2018)