default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSheng Zhou 0004
Person information
- affiliation: Zhejiang University, Ningbo Research Institute, School of Software Technology, China
- affiliation: Zhejiang University, Alibaba, Joint Institute of Frontier Technologies, China
Other persons with the same name
- Sheng Zhou — disambiguation page
- Sheng Zhou 0001
![[0000-0003-0651-0071]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-0651-0071")
— Tsinghua University, Department of Electronic Engineering, China (and 3 more) - Sheng Zhou 0003 — VU University Amsterdam, Department of Physics and Astronomy, LaserLaB Amsterdam, Netherlands
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j20]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. ACM Comput. Surv. 57(3): 69:1-69:38 (2025)- [j19]Chunpeng Zhou, Zhi Yu, Xilu Yuan, Sheng Zhou, Jiajun Bu, Haishuai Wang:
Less is more: A closer look at semantic-based few-shot learning. Inf. Fusion 114: 102672 (2025) - [j18]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. Neural Networks 184: 107014 (2025) - [j17]Houxin Gong, Haishuai Wang, Peng Zhang, Sheng Zhou, Hongyang Chen, Jiajun Bu:
FedMTPP: Federated Multivariate Temporal Point Processes for Distributed Event Sequence Forecasting. IEEE Trans. Mob. Comput. 24(4): 3302-3315 (2025) - [c41]Shengjia Zhang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang:
Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution. AAAI 2025: 13286-13294 - [c40]Ye Mo, Gang Huang, Liangcheng Li, Dazhen Deng, Zhi Yu, Yilun Xu, Kai Ye, Sheng Zhou, Jiajun Bu:
TableNarrator: Making Image Tables Accessible to Blind and Low Vision People. CHI 2025: 297:1-297:17 - [c39]Yuanchen Bei, Weizhi Chen, Hao Chen, Sheng Zhou, Carl Ji Yang, Jiapei Fan, Longtao Huang, Jiajun Bu:
Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classification. KDD (1) 2025: 37-48 - [c38]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. WSDM 2025: 60-69 - [c37]Siyi Lin, Chongming Gao, Jiawei Chen, Sheng Zhou, Binbin Hu, Yan Feng, Chun Chen, Can Wang:
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective. WSDM 2025: 659-668 - [c36]Sirui Chen, Shen Han, Jiawei Chen, Binbin Hu, Sheng Zhou, Gang Wang, Yan Feng, Chun Chen, Can Wang:
Rankformer: A Graph Transformer for Recommendation based on Ranking Objective. WWW 2025: 3037-3048 - [c35]Shen Han, Zhiyao Zhou, Jiawei Chen, Zhezheng Hao, Sheng Zhou, Gang Wang, Yan Feng, Chun Chen, Can Wang:
Uncertainty-Aware Graph Structure Learning. WWW 2025: 4863-4874 - [c34]Ming Gu, Lei Pei, Sheng Zhou, Ming Shen, Yuxuan Wu, Zirui Gao, Ziwei Wang, Shuo Shan, Wei Jiang, Yong Li, Jiajun Bu:
Towards an Inclusive Mobile Web: A Dataset and Framework for Focusability in UI Accessibility. WWW 2025: 5096-5107 - [i50]Weizhi Zhang, Yuanchen Bei, Liangwei Yang, Henry Peng Zou, Peilin Zhou, Aiwei Liu, Yinghui Li, Hao Chen, Jianling Wang, Yu Wang, Feiran Huang, Sheng Zhou, Jiajun Bu, Allen Lin, James Caverlee, Fakhri Karray, Irwin King, Philip S. Yu:
Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap. CoRR abs/2501.01945 (2025) - [i49]Shen Han, Zhiyao Zhou, Jiawei Chen, Zhezheng Hao, Sheng Zhou, Gang Wang, Yan Feng, Chun Chen, Can Wang:
Uncertainty-Aware Graph Structure Learning. CoRR abs/2502.12618 (2025) - [i48]Ziwei Wang, Weizhi Chen, Leyang Yang, Sheng Zhou, Shengchu Zhao, Hanbei Zhan, Jiongchao Jin, Liangcheng Li, Zirui Shao, Jiajun Bu:
MP-GUI: Modality Perception with MLLMs for GUI Understanding. CoRR abs/2503.14021 (2025) - [i47]Sirui Chen, Shen Han, Jiawei Chen, Binbin Hu, Sheng Zhou, Gang Wang, Yan Feng, Chun Chen, Can Wang:
Rankformer: A Graph Transformer for Recommendation based on Ranking Objective. CoRR abs/2503.16927 (2025) - 2024
- [j16]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): 121671 (2024) - [j15]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: 106386 (2024) - [j14]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: 106396 (2024) - [j13]Siyi Lin, Sheng Zhou, Jiawei Chen, Yan Feng, Qihao Shi, Chun Chen, Ying Li, Can Wang:
ReCRec: Reasoning the Causes of Implicit Feedback for Debiased Recommendation. ACM Trans. Inf. Syst. 42(6): 158:1-158:26 (2024) - [c33]Meihan Liu, Zeyu Fang, Zhen Zhang, Ming Gu, Sheng Zhou, Xin Wang, Jiajun Bu:
Rethinking Propagation for Unsupervised Graph Domain Adaptation. AAAI 2024: 13963-13971 - [c32]Xiaojun Ye, Junhao Chen, Xiang Li, Haidong Xin, Chao Li, Sheng Zhou, Jiajun Bu:
MMAD: Multi-modal Movie Audio Description. LREC/COLING 2024: 11415-11428 - [c31]Xixi Zhou, Xin Jie, Sheng Zhou, Keyue Shi, Zhi Yu, Jiajun Bu, Haishuai Wang:
Inversive-Reasoning Augmentation for Natural Language Inference. ICASSP 2024: 10351-10355 - [c30]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: 1199-1212 - [c29]Weiqin Yang, Jiawei Chen, Xin Xin, Sheng Zhou, Binbin Hu, Yan Feng, Chun Chen, Can Wang:
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation. NeurIPS 2024 - [c28]Meihan Liu, Zhen Zhang, Jiachen Tang, Jiajun Bu, Bingsheng He, Sheng Zhou:
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation. NeurIPS 2024 - [c27]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. NeurIPS 2024 - [c26]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. NeurIPS 2024 - [c25]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: 1274-1284 - [c24]Ming Shen, Gang Huang, Yuxuan Wu, Shuyi Song, Sheng Zhou, Liangcheng Li, Zhi Yu, Wei Wang, Jiajun Bu:
Making Accessible Movies Easily: An Intelligent Tool for Authoring and Integrating Audio Descriptions to Movies. W4A 2024: 160-164 - [c23]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: 3598-3608 - [c22]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: 3777-3788 - [i46]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 abs/2401.14939 (2024) - [i45]Hongjia Xu, Liangliang Zhang, Yao Ma, Sheng Zhou, Zhuonan Zheng, Jiajun Bu:
A Survey on Graph Condensation. CoRR abs/2402.02000 (2024) - [i44]Meihan Liu, Zeyu Fang, Zhen Zhang, Ming Gu, Sheng Zhou, Xin Wang, Jiajun Bu:
Rethinking Propagation for Unsupervised Graph Domain Adaptation. CoRR abs/2402.05660 (2024) - [i43]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 abs/2402.12994 (2024) - [i42]Sirui Chen, Jiawei Chen, Sheng Zhou, Bohao Wang, Shen Han, Chanfei Su, Yuqing Yuan, Can Wang:
SIGformer: Sign-aware Graph Transformer for Recommendation. CoRR abs/2404.11982 (2024) - [i41]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 abs/2404.12008 (2024) - [i40]Yuanchen Bei, Sheng Zhou, Jinke Shi, Yao Ma, Haishuai Wang, Jiajun Bu:
Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection. CoRR abs/2404.16366 (2024) - [i39]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 abs/2405.17768 (2024) - [i38]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 abs/2405.20640 (2024) - [i37]Zeyu Fang, Ming Gu, Sheng Zhou, Jiawei Chen, Qiaoyu Tan, Haishuai Wang, Jiajun Bu:
Towards a Unified Framework of Clustering-based Anomaly Detection. CoRR abs/2406.00452 (2024) - [i36]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 abs/2406.04299 (2024) - [i35]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 abs/2406.04553 (2024) - [i34]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 abs/2406.08897 (2024) - [i33]Yuyan Liu, Sirui Ding, Sheng Zhou, Wenqi Fan, Qiaoyu Tan:
MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property Prediction. CoRR abs/2406.12950 (2024) - [i32]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 abs/2407.00615 (2024) - [i31]Meihan Liu, Zhen Zhang, Jiachen Tang, Jiajun Bu, Bingsheng He, Sheng Zhou:
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation. CoRR abs/2407.11052 (2024) - [i30]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 abs/2407.16959 (2024) - [i29]Chunpeng Zhou, Kangjie Ning, Qianqian Shen, Sheng Zhou, Zhi Yu, Haishuai Wang:
SAM-SP: Self-Prompting Makes SAM Great Again. CoRR abs/2408.12364 (2024) - [i28]Zhe Wang, Tianjian Zhao, Zhen Zhang, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen, Can Wang:
Towards Dynamic Graph Neural Networks with Provably High-Order Expressive Power. CoRR abs/2410.01367 (2024) - [i27]Weiqin Yang, Jiawei Chen, Xin Xin, Sheng Zhou, Binbin Hu, Yan Feng, Chun Chen, Can Wang:
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation. CoRR abs/2411.00163 (2024) - [i26]Qingsong Lv, Jiasheng Sun, Sheng Zhou, Xu Zhang, Liangcheng Li, Yun Gao, Sun Qiao, Jie Song, Jiajun Bu:
FGP: Feature-Gradient-Prune for Efficient Convolutional Layer Pruning. CoRR abs/2411.12781 (2024) - [i25]Yuanchen Bei, Weizhi Chen, Hao Chen, Sheng Zhou, Carl Yang, Jiapei Fan, Longtao Huang, Jiajun Bu:
Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classification. CoRR abs/2411.17350 (2024) - [i24]Ming Gu, Zhuonan Zheng, Sheng Zhou, Meihan Liu, Jiawei Chen, Tanyu Qiao, Liangcheng Li, Jiajun Bu:
Universal Inceptive GNNs by Eliminating the Smoothness-generalization Dilemma. CoRR abs/2412.09805 (2024) - 2023
- [j12]Xixi Zhou, Jiajun Bu, Sheng Zhou, Zhi Yu, Ji Zhao, Xifeng Yan:
Improving topic disentanglement via contrastive learning. Inf. Process. Manag. 60(2): 103164 (2023) - [j11]Jingru Li, Sheng Zhou, Liangcheng Li, Haishuai Wang, Jiajun Bu, Zhi Yu:
Dynamic data-free knowledge distillation by easy-to-hard learning strategy. Inf. Sci. 642: 119202 (2023) - [j10]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: 110208 (2023) - [j9]Chunpeng Zhou, Haishuai Wang, Sheng Zhou, Zhi Yu, Danushka Bandara, Jiajun Bu:
Hierarchical Knowledge Propagation and Distillation for Few-Shot Learning. Neural Networks 167: 615-625 (2023) - [j8]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): 2004-2018 (2023) - [j7]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): 9920-9931 (2023) - [c21]Qihao Shi, Bingyang Fu, Can Wang, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen:
Robust Sequence Networked Submodular Maximization. AAAI 2023: 15100-15108 - [c20]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: 577-586 - [c19]Zijie Song, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang:
CDR: Conservative Doubly Robust Learning for Debiased Recommendation. CIKM 2023: 2321-2330 - [c18]Hao Xu, Huixuan Chi, Danyang Liu, Sheng Zhou, Mengdi Zhang:
DPGN: Denoising Periodic Graph Network for Life Service Recommendation. CIKM 2023: 2846-2855 - [c17]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: 3748-3752 - [c16]Sheng Zhou, Zhe Wang, Kewen Wang, Zhiqiang Zhuang:
Zero-Shot Entity Typing in Knowledge Graphs. DASFAA (Workshops) 2023: 238-250 - [c15]Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, Jiajun Bu:
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection. ICDM 2023: 11-20 - [c14]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 - [c13]Gang Chen, Jiawei Chen, Fuli Feng, Sheng Zhou, Xiangnan He:
Unbiased Knowledge Distillation for Recommendation. WSDM 2023: 976-984 - [c12]Jiawei Chen, Junkang Wu, Jiancan Wu, Xuezhi Cao, Sheng Zhou, Xiangnan He:
Adap-τ : Adaptively Modulating Embedding Magnitude for Recommendation. WWW 2023: 1085-1096 - [i23]Jiawei Chen, Junkang Wu, Jiancan Wu, Sheng Zhou, Xuezhi Cao, Xiangnan He:
Adap-tau: Adaptively Modulating Embedding Magnitude for Recommendation. CoRR abs/2302.04775 (2023) - [i22]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 abs/2306.10280 (2023) - [i21]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 abs/2307.02813 (2023) - [i20]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 abs/2308.04779 (2023) - [i19]Ming Gu, Gaoming Yang, Sheng Zhou, Ning Ma, Jiawei Chen, Qiaoyu Tan, Meihan Liu, Jiajun Bu:
Homophily-enhanced Structure Learning for Graph Clustering. CoRR abs/2308.05309 (2023) - [i18]Zijie Song, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang:
CDR: Conservative Doubly Robust Learning for Debiased Recommendation. CoRR abs/2308.08461 (2023) - [i17]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 abs/2309.12565 (2023) - [i16]Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, Jiajun Bu:
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection. CoRR abs/2312.05526 (2023) - 2022
- [j6]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: 270-282 (2022) - [j5]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): 29:1-29:23 (2022) - [c11]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: 174-191 - [c10]Dian Qin, Haishuai Wang, Zhe Liu, Hongjia Xu, Sheng Zhou, Jiajun Bu:
Hilbert Distillation for Cross-Dimensionality Networks. NeurIPS 2022 - [c9]Can Wang, Sheng Zhou, Kang Yu, Defang Chen, Bolang Li, Yan Feng, Chun Chen:
Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding. WWW 2022: 1631-1639 - [i15]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 abs/2206.07579 (2022) - [i14]Jingru Li, Sheng Zhou, Liangcheng Li, Xifeng Yan, Zhi Yu, Jiajun Bu:
How to Teach: Learning Data-Free Knowledge Distillation from Curriculum. CoRR abs/2208.13648 (2022) - [i13]Dian Qin, Haishuai Wang, Zhe Liu, Hongjia Xu, Sheng Zhou, Jiajun Bu:
Hilbert Distillation for Cross-Dimensionality Networks. CoRR abs/2211.04031 (2022) - [i12]Gang Chen, Jiawei Chen, Fuli Feng, Sheng Zhou, Xiangnan He:
Unbiased Knowledge Distillation for Recommendation. CoRR abs/2211.14729 (2022) - [i11]Qihao Shi, Bingyang Fu, Can Wang, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen:
Robust Sequence Networked Submodular Maximization. CoRR abs/2212.13725 (2022) - 2021
- [j4]Qihao Shi, Can Wang, Deshi Ye, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen, Yanhao Huang:
Profit maximization for competitive social advertising. Theor. Comput. Sci. 868: 12-29 (2021) - [j3]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): 3820-3831 (2021) - [j2]Jiawei Chen, Chengquan Jiang, Can Wang, Sheng Zhou, Yan Feng, Chun Chen, Martin Ester, Xiangnan He:
CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation. ACM Trans. Inf. Syst. 39(3): 34:1-34:24 (2021) - [c8]Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu:
Distilling Holistic Knowledge with Graph Neural Networks. ICCV 2021: 10367-10376 - [i10]Ning Ma, Jiajun Bu, Zhen Zhang, Sheng Zhou:
Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data. CoRR abs/2107.06707 (2021) - [i9]Ning Ma, Jiajun Bu, Lixian Lu, Jun Wen, Zhen Zhang, Sheng Zhou, Xifeng Yan:
Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation. CoRR abs/2107.06735 (2021) - [i8]Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu:
Distilling Holistic Knowledge with Graph Neural Networks. CoRR abs/2108.05507 (2021) - [i7]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 abs/2108.09987 (2021) - [i6]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. CoRR abs/2109.07946 (2021) - [i5]Can Wang, Zhe Wang, Defang Chen, Sheng Zhou, Yan Feng, Chun Chen:
Online Adversarial Distillation for Graph Neural Networks. CoRR abs/2112.13966 (2021) - 2020
- [j1]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: 105458 (2020) - [c7]Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen:
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback. AAAI 2020: 3470-3477 - [c6]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: 6949-6956 - [c5]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: 1055-1064 - [i4]Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen:
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback. CoRR abs/2003.01892 (2020) - [i3]Can Wang, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen:
SamWalker++: recommendation with informative sampling strategy. CoRR abs/2011.07734 (2020) - [i2]Jiawei Chen, Chengquan Jiang, Can Wang, Sheng Zhou, Yan Feng, Chun Chen, Martin Ester, Xiangnan He:
CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation. CoRR abs/2011.07739 (2020)
2010 – 2019
- 2019
- [c4]Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen:
SamWalker: Social Recommendation with Informative Sampling Strategy. WWW 2019: 228-239 - [i1]Sheng Zhou, Jiajun Bu, Xin Wang, Jiawei Chen, Bingbing Hu, Defang Chen, Can Wang:
HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding. CoRR abs/1902.01475 (2019) - 2018
- [c3]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: 823-832 - [c2]Jiawei Chen, Yan Feng, Martin Ester, Sheng Zhou, Chun Chen, Can Wang:
Modeling Users' Exposure with Social Knowledge Influence and Consumption Influence for Recommendation. CIKM 2018: 953-962 - [c1]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: 3155-3161
Coauthor Index
[j20] [j19] [j18] [j17] [c40] [c39] [c34] [i50] [i48] [j15] [j14] [c33] [c32] [c31] [c30] [c28] [c26] [c24] [i45] [i44] [i40] [i39] [i38] [i37] [i36] [i35] [i31] [i26] [i25] [i24] [j12] [j11] [j10] [j9] [c20] [c15] [i21] [i20] [i19] [i16] [j6] [j5] [c11] [c10] [i15] [i14] [i13] [j3] [c8] [i10] [i9] [i8] [i7] [j1] [c6] [c5] [i1] [c3] [c1]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-05-18 20:28 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
