Can Wang

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 100

Top Venues

CoRR

Frontiers Inf. Technol. Electron. Eng.

Neurocomputing

CIKM

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)
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)
Defang Chen, Zhenyu Zhou, Can Wang, Chunhua Shen, Siwei Lyu
On the Trajectory Regularity of ODE-based Diffusion Sampling. CoRR (2024)
Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen
Multi-exit self-distillation with appropriate teachers. Frontiers Inf. Technol. Electron. Eng. 25 (4) (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)
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)
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)
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)
Qihao Shi, Wujian Yang, Can Wang, Mingli Song
Robust misinformation prevention with uncertainty on suspicious nodes. Neurocomputing 577 (2024)
Wujie Sun, Defang Chen, Jiawei Chen, Yan Feng, Chun Chen, Can Wang
Knowledge Translation: A New Pathway for Model Compression. CoRR (2024)
Wujian Yang, Qihao Shi, Jiangzhe Yan, Can Wang, Mingli Song, Minghui Wu
Complementary influence maximization under comparative linear threshold model. Expert Syst. Appl. 238 (Part D) (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)
Defang Chen, Zhenyu Zhou, Jian-Ping Mei, Chunhua Shen, Chun Chen, Can Wang
A Geometric Perspective on Diffusion Models. CoRR (2023)
Qihao Shi, Wenjie Tian, Wujian Yang, Mengqi Xue, Can Wang, Minghui Wu
Jointly Complementary&Competitive Influence Maximization with Concurrent Ally-Boosting and Rival-Preventing. CoRR (2023)
Can Wang, Defang Chen, Jian-Ping Mei, Yuan Zhang, Yan Feng, Chun Chen
SemCKD: Semantic Calibration for Cross-Layer Knowledge Distillation. IEEE Trans. Knowl. Data Eng. 35 (6) (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)
Shiya Luo, Defang Chen, Can Wang
Customizing Synthetic Data for Data-Free Student Learning. CoRR (2023)
Hailin Zhang, Defang Chen, Can Wang
Adaptive Multi-Teacher Knowledge Distillation with Meta-Learning. ICME (2023)
Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen
Holistic Weighted Distillation for Semantic Segmentation. ICME (2023)
Jiongyu Guo, Defang Chen, Can Wang
Online cross-layer knowledge distillation on graph neural networks with deep supervision. Neural Comput. Appl. 35 (30) (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)
Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen
Accelerating Diffusion Sampling with Classifier-based Feature Distillation. ICME (2023)
Qihao Shi, Bingyang Fu, Can Wang, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen
Robust Sequence Networked Submodular Maximization. AAAI (2023)
Zhenyu Zhou, Defang Chen, Can Wang, Chun Chen
Fast ODE-based Sampling for Diffusion Models in Around 5 Steps. CoRR (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)
Yangguang Zhang, Can Wang, Qihao Shi, Yan Feng, Chun Chen
Adversarial gradient-based meta learning with metric-based test. Knowl. Based Syst. 263 (2023)
Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Zhao Li, Chengwei Yao, Huifen Dai, Zhi Yu, Can Wang
Hierarchical Multi-View Graph Pooling With Structure Learning. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Hailin Zhang, Defang Chen, Can Wang
Adaptive Multi-Teacher Knowledge Distillation with Meta-Learning. 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)
Shiya Luo, Defang Chen, Can Wang
Knowledge Distillation with Deep Supervision. IJCNN (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)
Shiya Luo, Defang Chen, Can Wang
Customizing Synthetic Data for Data-Free Student Learning. ICME (2023)
Defang Chen, Jian-Ping Mei, Hailin Zhang, Can Wang, Yan Feng, Chun Chen
Knowledge Distillation with the Reused Teacher Classifier. CoRR (2022)
Supaporn Lonapalawong, Jiangzhe Yan, Jiayu Li, Deshi Ye, Wei Chen, Yong Tang, Yanhao Huang, Can Wang
Reducing power grid cascading failure propagation by minimizing algebraic connectivity in edge addition. Frontiers Inf. Technol. Electron. Eng. 23 (3) (2022)
Zhehui Zhou, Defang Chen, Can Wang, Yan Feng, Chun Chen
Improving Knowledge Graph Embedding via Iterative Self-Semantic Knowledge Distillation. CoRR (2022)
Supaporn Lonapalawong, Changsheng Chen, Can Wang, Wei Chen
Interpreting the vulnerability of power systems in cascading failures using multi-graph convolutional networks. Frontiers Inf. Technol. Electron. Eng. 23 (12) (2022)
Defang Chen, Jian-Ping Mei, Hailin Zhang, Can Wang, Yan Feng, Chun Chen
Knowledge Distillation with the Reused Teacher Classifier. CVPR (2022)
Wujie Sun, Qi Chen, Can Wang, Deshi Ye, Chun Chen
Source-Free Unsupervised Domain Adaptation in Imbalanced Datasets. DSIT (2022)
Jiongyu Guo, Defang Chen, Can Wang
Alignahead: Online Cross-Layer Knowledge Extraction on Graph Neural Networks. IJCNN (2022)
Hailin Zhang, Defang Chen, Can Wang
Confidence-Aware Multi-Teacher Knowledge Distillation. ICASSP (2022)
Yangguang Zhang, Qi Chen, Ji Shen, Qihao Shi, Can Wang
Adaptive Seed Minimization for Diversified Influence Maximization. DSIT (2022)
Jiongyu Guo, Defang Chen, Can Wang
Online Cross-Layer Knowledge Distillation on Graph Neural Networks with Deep Supervision. CoRR (2022)
Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen
Accelerating Diffusion Sampling with Classifier-based Feature Distillation. CoRR (2022)
Jiongyu Guo, Defang Chen, Can Wang
Alignahead: Online Cross-Layer Knowledge Extraction on Graph Neural Networks. CoRR (2022)
Qihao Shi, Bingyang Fu, Can Wang, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen
Robust Sequence Networked Submodular Maximization. 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)
Can Wang, Qihao Shi, Weizhao Xian, Yan Feng, Chun Chen
Efficient diversified influence maximization with adaptive policies. Knowl. Based Syst. 213 (2021)
Deshi Ye, Songyang Chen, Can Wang
Fast convergence for federated learning in OFDMA systems. PIMRC (2021)
Can Wang, Yangguang Zhang, Qihao Shi, Yan Feng, Chun Chen
Efficient influence spread management via budget allocation at community scale. Expert Syst. Appl. 175 (2021)
Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu
Distilling Holistic Knowledge with Graph Neural Networks. ICCV (2021)
Zhen Zhang, Jiajun Bu, Zhao Li, Chengwei Yao, Can Wang, Jia Wu
TigeCMN: On exploration of temporal interaction graph embedding via Coupled Memory Neural Networks. Neural Networks 140 (2021)
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 (2021)
Zhen Zhang, Jiajun Bu, Martin Ester, Zhao Li, Chengwei Yao, Zhi Yu, Can Wang
H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks. KDD (2021)
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) (2021)
Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu
Distilling Holistic Knowledge with Graph Neural Networks. CoRR (2021)
Defang Chen, Jian-Ping Mei, Yuan Zhang, Can Wang, Zhe Wang, Yan Feng, Chun Chen
Cross-Layer Distillation with Semantic Calibration. AAAI (2021)
Can Wang, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen
SamWalker++: recommendation with informative sampling strategy. CoRR (2020)
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 (2020)
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)
Defang Chen, Jian-Ping Mei, Can Wang, Yan Feng, Chun Chen
Online Knowledge Distillation with Diverse Peers. AAAI (2020)
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 (2020)
Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhao Li, Can Wang
Learning Temporal Interaction Graph Embedding via Coupled Memory Networks. WWW (2020)
Defang Chen, Jian-Ping Mei, Yuan Zhang, Can Wang, Zhe Wang, Yan Feng, Chun Chen
Cross-Layer Distillation with Semantic Calibration. CoRR (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)
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)
Yue Wu, Can Wang, Yue-qing Zhang, Jiajun Bu
Unsupervised feature selection via joint local learning and group sparse regression. Frontiers Inf. Technol. Electron. Eng. 20 (4) (2019)
Sheng Zhou, Jiajun Bu, Xin Wang, Jiawei Chen, Bingbing Hu, Defang Chen, Can Wang
HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding. CoRR (2019)
Qihao Shi, Can Wang, Jiawei Chen, Yan Feng, Chun Chen
Post and repost: A holistic view of budgeted influence maximization. Neurocomputing 338 (2019)
Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen
SamWalker: Social Recommendation with Informative Sampling Strategy. WWW (2019)
Qihao Shi, Can Wang, Deshi Ye, Jiawei Chen, Yan Feng, Chun Chen
Adaptive Influence Blocking: Minimizing the Negative Spread by Observation-Based Policies. ICDE (2019)
Qihao Shi, Can Wang, Jiawei Chen, Yan Feng, Chun Chen
Location driven influence maximization: Online spread via offline deployment. Knowl. Based Syst. 166 (2019)
Defang Chen, Jian-Ping Mei, Can Wang, Yan Feng, Chun Chen
Online Knowledge Distillation with Diverse Peers. CoRR (2019)
Shen Xin, Martin Ester, Jiajun Bu, Chengwei Yao, Zhao Li, Xun Zhou, Yizhou Ye, Can Wang
Multi-task based Sales Predictions for Online Promotions. CIKM (2019)
Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhi Yu, Can Wang
Hierarchical Graph Pooling with Structure Learning. CoRR (2019)
Jiawei Chen, Can Wang, Qihao Shi, Yan Feng, Chun Chen
Social recommendation based on users' attention and preference. Neurocomputing 341 (2019)
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)
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)
Shuyi Song, Jiajun Bu, Andreas Artmeier, Keyue Shi, Ye Wang, Zhi Yu, Can Wang
Crowdsourcing-Based Web Accessibility Evaluation with Golden Maximum Likelihood Inference. Proc. ACM Hum. Comput. Interact. 2 (CSCW) (2018)
Xin Shen, Hongxia Yang, Weizhao Xian, Martin Ester, Jiajun Bu, Zhongyao Wang, Can Wang
Mobile Access Record Resolution on Large-Scale Identifier-Linkage Graphs. KDD (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)
Jiawei Chen, Can Wang, Martin Ester, Qihao Shi, Yan Feng, Chun Chen
Social Recommendation with Missing Not at Random Data. ICDM (2018)
Shuyi Song, Jiajun Bu, Ye Wang, Zhi Yu, Andreas Artmeier, Lianjun Dai, Can Wang
Web Accessibility Evaluation in a Crowdsourcing-Based System with Expertise-Based Decision Strategy. W4A (2018)
Liangcheng Li, Jiajun Bu, Can Wang, Zhi Yu, Wei Wang, Yue Wu, Chunbin Gu, Qin Zhou
CrowdAE: A Crowdsourcing System with Human Inspection Quality Enhancement for Web Accessibility Evaluation. ICCHP (1) (2018)
Kui Zhao, Bangpeng Li, Zilun Peng, Jiajun Bu, Can Wang
Navigation Objects Extraction for Better Content Structure Understanding. CoRR (2017)
Kui Zhao, Bangpeng Li, Zilun Peng, Jiajun Bu, Can Wang
Navigation objects extraction for better content structure understanding. WI (2017)
Kui Zhao, Xia Hu, Jiajun Bu, Can Wang
Deep Style Match for Complementary Recommendation. AAAI Workshops (2017)
Kui Zhao, Xia Hu, Jiajun Bu, Can Wang
Deep Style Match for Complementary Recommendation. CoRR (2017)
Shuyi Song, Can Wang, Liangcheng Li, Zhi Yu, Xiao Lin, Jiajun Bu
WAEM: A Web Accessibility Evaluation Metric Based on Partial User Experience Order. W4A (2017)
Kui Zhao, Can Wang
Sales Forecast in E-commerce using Convolutional Neural Network. CoRR (2017)
Kui Zhao, Yi Wang, Xia Hu, Can Wang
Effective Blog Pages Extractor for Better UGC Accessing. CoRR (2017)
Zhi Yu, Can Wang, Jiajun Bu, Xia Hu, Zhe Wang, Jia-he Jin
Finding map regions with high density of query keywords. Frontiers Inf. Technol. Electron. Eng. 18 (10) (2017)
Mengni Zhang, Can Wang, Zhi Yu, Chao Shen, Jiajun Bu
Active learning for Web accessibility evaluation. W4A (2017)
Liangcheng Li, Can Wang, Shuyi Song, Zhi Yu, Fenqin Zhou, Jiajun Bu
A task assignment strategy for crowdsourcing-based web accessibility evaluation system. W4A (2017)
Mengni Zhang, Can Wang, Jiajun Bu, Liangcheng Li, Zhi Yu
An optimal sampling method for web accessibility quantitative metric and its online extension. Internet Res. 27 (5) (2017)
Xin Wang, Wei Lu, Martin Ester, Can Wang, Chun Chen
Social Recommendation with Strong and Weak Ties. CIKM (2016)
Lei Ye, Can Wang, Xin Xu, Wei Chen
Multi-class ℓ2-Boost with the scoring coding. Int. J. Wavelets Multiresolution Inf. Process. 14 (6) (2016)
Yue Wu, Can Wang, Jiajun Bu, Chun Chen
Group sparse feature selection on local learning based clustering. Neurocomputing 171 (2016)
Xin Wang, Can Wang, Li Shang, Zhan-Li Sun
Dispersion Constraint Based Non-negative Sparse Coding Model. Neural Process. Lett. 43 (2) (2016)

Can Wang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Can Wang