Can Wang

According to our database, Can Wang authored at least 118 papers between 2004 and 2024.

Collaborative distances:

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

2024

Complementary influence maximization under comparative linear threshold model.

Wujian Yang, Qihao Shi, Jiangzhe Yan, Can Wang, Mingli Song, Minghui Wu

Expert Syst. Appl., March, 2024

Online adversarial knowledge distillation for graph neural networks.

Can Wang, Zhe Wang, Defang Chen, Sheng Zhou, Yan Feng, Chun Chen

Expert Syst. Appl., March, 2024

Distributionally Robust Graph-based Recommendation System.

Bohao Wang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi, Yang Gao, Yan Feng, Chun Chen, Can Wang

CoRR, 2024

Knowledge Translation: A New Pathway for Model Compression.

Wujie Sun, Defang Chen, Jiawei Chen, Yan Feng, Chun Chen, Can Wang

CoRR, 2024

2023

Online cross-layer knowledge distillation on graph neural networks with deep supervision.

Jiongyu Guo, Defang Chen, Can Wang

Neural Comput. Appl., October, 2023

SemCKD: Semantic Calibration for Cross-Layer Knowledge Distillation.

Can Wang, Defang Chen, Jian-Ping Mei, Yuan Zhang, Yan Feng, Chun Chen

IEEE Trans. Knowl. Data Eng., June, 2023

Adversarial gradient-based meta learning with metric-based test.

Yangguang Zhang, Can Wang, Qihao Shi, Yan Feng, Chun Chen

Knowl. Based Syst., March, 2023

Hierarchical Multi-View Graph Pooling With Structure Learning.

Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Zhao Li, Chengwei Yao, Huifen Dai, Zhi Yu, Can Wang

IEEE Trans. Knowl. Data Eng., 2023

SamWalker++: Recommendation With Informative Sampling Strategy.

Can Wang, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen

IEEE Trans. Knowl. Data Eng., 2023

Fast ODE-based Sampling for Diffusion Models in Around 5 Steps.

Zhenyu Zhou, Defang Chen, Can Wang, Chun Chen

CoRR, 2023

OpenGSL: A Comprehensive Benchmark for Graph Structure Learning.

Zhiyao Zhou, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Can Wang, Yan Feng, Chun Chen

CoRR, 2023

A Geometric Perspective on Diffusion Models.

Defang Chen, Zhenyu Zhou, Jian-Ping Mei, Chunhua Shen, Chun Chen, Can Wang

CoRR, 2023

Jointly Complementary&Competitive Influence Maximization with Concurrent Ally-Boosting and Rival-Preventing.

Qihao Shi, Wenjie Tian, Wujian Yang, Mengqi Xue, Can Wang, Minghui Wu

CoRR, 2023

OpenGSL: A Comprehensive Benchmark for Graph Structure Learning.

Zhiyao Zhou, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Yan Feng, Chun Chen, Can Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Knowledge Distillation with Deep Supervision.

Shiya Luo, Defang Chen, Can Wang

Proceedings of the International Joint Conference on Neural Networks, 2023

Adaptive Multi-Teacher Knowledge Distillation with Meta-Learning.

Hailin Zhang, Defang Chen, Can Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Accelerating Diffusion Sampling with Classifier-based Feature Distillation.

Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Holistic Weighted Distillation for Semantic Segmentation.

Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Customizing Synthetic Data for Data-Free Student Learning.

Shiya Luo, Defang Chen, Can Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

CDR: Conservative Doubly Robust Learning for Debiased Recommendation.

Zijie Song, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Robust Sequence Networked Submodular Maximization.

Qihao Shi, Bingyang Fu, Can Wang, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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

ACM Trans. Inf. Syst., 2022

JointE: Jointly utilizing 1D and 2D convolution for knowledge graph embedding.

Zhehui Zhou, Can Wang, Yan Feng, Defang Chen

Knowl. Based Syst., 2022

Reducing power grid cascading failure propagation by minimizing algebraic connectivity in edge addition.

Supaporn Lonapalawong, Jiangzhe Yan, Jiayu Li, Deshi Ye, Wei Chen, Yong Tang, Yanhao Huang, Can Wang

Frontiers Inf. Technol. Electron. Eng., 2022

Interpreting the vulnerability of power systems in cascading failures using multi-graph convolutional networks.

Supaporn Lonapalawong, Changsheng Chen, Can Wang, Wei Chen

Frontiers Inf. Technol. Electron. Eng., 2022

Improving Knowledge Graph Embedding via Iterative Self-Semantic Knowledge Distillation.

Zhehui Zhou, Defang Chen, Can Wang, Yan Feng, Chun Chen

CoRR, 2022

Deeply-Supervised Knowledge Distillation.

Shiya Luo, Defang Chen, Can Wang

CoRR, 2022

Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding.

Can Wang, Sheng Zhou, Kang Yu, Defang Chen, Bolang Li, Yan Feng, Chun Chen

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Alignahead: Online Cross-Layer Knowledge Extraction on Graph Neural Networks.

Jiongyu Guo, Defang Chen, Can Wang

Proceedings of the International Joint Conference on Neural Networks, 2022

Confidence-Aware Multi-Teacher Knowledge Distillation.

Hailin Zhang, Defang Chen, Can Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

Adaptive Seed Minimization for Diversified Influence Maximization.

Yangguang Zhang, Qi Chen, Ji Shen, Qihao Shi, Can Wang

Proceedings of the 5th International Conference on Data Science and Information Technology, 2022

Source-Free Unsupervised Domain Adaptation in Imbalanced Datasets.

Wujie Sun, Qi Chen, Can Wang, Deshi Ye, Chun Chen

Proceedings of the 5th International Conference on Data Science and Information Technology, 2022

Knowledge Distillation with the Reused Teacher Classifier.

Defang Chen, Jian-Ping Mei, Hailin Zhang, Can Wang, Yan Feng, Chun Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation.

Jiawei Chen, Chengquan Jiang, Can Wang, Sheng Zhou, Yan Feng, Chun Chen, Martin Ester, Xiangnan He

ACM Trans. Inf. Syst., 2021

Profit maximization for competitive social advertising.

Qihao Shi, Can Wang, Deshi Ye, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen, Yanhao Huang

Theor. Comput. Sci., 2021

TigeCMN: On exploration of temporal interaction graph embedding via Coupled Memory Neural Networks.

Zhen Zhang, Jiajun Bu, Zhao Li, Chengwei Yao, Can Wang, Jia Wu

Neural Networks, 2021

Efficient diversified influence maximization with adaptive policies.

Can Wang, Qihao Shi, Weizhao Xian, Yan Feng, Chun Chen

Knowl. Based Syst., 2021

Efficient influence spread management via budget allocation at community scale.

Can Wang, Yangguang Zhang, Qihao Shi, Yan Feng, Chun Chen

Expert Syst. Appl., 2021

Online Adversarial Distillation for Graph Neural Networks.

Can Wang, Zhe Wang, Defang Chen, Sheng Zhou, Yan Feng, Chun Chen

CoRR, 2021

Exploring the Connection between Knowledge Distillation and Logits Matching.

Defang Chen, Can Wang, Yan Feng, Chun Chen

CoRR, 2021

Fast convergence for federated learning in OFDMA systems.

Deshi Ye, Songyang Chen, Can Wang

Proceedings of the 32nd IEEE Annual International Symposium on Personal, 2021

H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks.

Zhen Zhang, Jiajun Bu, Martin Ester, Zhao Li, Chengwei Yao, Zhi Yu, Can Wang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Distilling Holistic Knowledge with Graph Neural Networks.

Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Online Adversarial Knowledge Distillation for Image Synthesis of Bridge Defect.

Jiongyu Guo, Can Wang, Yan Feng

Proceedings of the CSAE 2021: The 5th International Conference on Computer Science and Application Engineering, Sanya, China, October 19, 2021

Cross-Layer Distillation with Semantic Calibration.

Defang Chen, Jian-Ping Mei, Yuan Zhang, Can Wang, Zhe Wang, Yan Feng, Chun Chen

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Cross Multi-Type Objects Clustering in Attributed Heterogeneous Information Network.

Sheng Zhou, Jiajun Bu, Zhen Zhang, Can Wang, Lingzhou Ma, Jianfeng Zhang

Knowl. Based Syst., 2020

Learning Temporal Interaction Graph Embedding via Coupled Memory Networks.

Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhao Li, Can Wang

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Online Knowledge Distillation with Diverse Peers.

Defang Chen, Jian-Ping Mei, Can Wang, Yan Feng, Chun Chen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Location driven influence maximization: Online spread via offline deployment.

Qihao Shi, Can Wang, Jiawei Chen, Yan Feng, Chun Chen

Knowl. Based Syst., 2019

Unsupervised feature selection via joint local learning and group sparse regression.

Yue Wu, Can Wang, Yue-qing Zhang, Jiajun Bu

Frontiers Inf. Technol. Electron. Eng., 2019

Post and repost: A holistic view of budgeted influence maximization.

Qihao Shi, Can Wang, Jiawei Chen, Yan Feng, Chun Chen

Neurocomputing, 2019

Social recommendation based on users' attention and preference.

Jiawei Chen, Can Wang, Qihao Shi, Yan Feng, Chun Chen

Neurocomputing, 2019

Hierarchical Graph Pooling with Structure Learning.

Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhi Yu, Can Wang

CoRR, 2019

An Interactive Insight Identification and Annotation Framework for Power Grid Pixel Maps using DenseU-Hierarchical VAE.

Tianye Zhang, Haozhe Feng, Zexian Chen, Can Wang, Yanhao Huang, Yong Tang, Wei Chen

CoRR, 2019

HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding.

Sheng Zhou, Jiajun Bu, Xin Wang, Jiawei Chen, Bingbing Hu, Defang Chen, Can Wang

CoRR, 2019

SamWalker: Social Recommendation with Informative Sampling Strategy.

Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen

Proceedings of the World Wide Web Conference, 2019

Adaptive Influence Blocking: Minimizing the Negative Spread by Observation-Based Policies.

Qihao Shi, Can Wang, Deshi Ye, Jiawei Chen, Yan Feng, Chun Chen

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Multi-task based Sales Predictions for Online Promotions.

Shen Xin, Martin Ester, Jiajun Bu, Chengwei Yao, Zhao Li, Xun Zhou, Yizhou Ye, Can Wang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Crowdsourcing-Based Web Accessibility Evaluation with Golden Maximum Likelihood Inference.

Shuyi Song, Jiajun Bu, Andreas Artmeier, Keyue Shi, Ye Wang, Zhi Yu, Can Wang

Proc. ACM Hum. Comput. Interact., 2018

Web Accessibility Evaluation in a Crowdsourcing-Based System with Expertise-Based Decision Strategy.

Shuyi Song, Jiajun Bu, Ye Wang, Zhi Yu, Andreas Artmeier, Lianjun Dai, Can Wang

Proceedings of the 15th Web for All Conference, 2018

Mobile Access Record Resolution on Large-Scale Identifier-Linkage Graphs.

Xin Shen, Hongxia Yang, Weizhao Xian, Martin Ester, Jiajun Bu, Zhongyao Wang, Can Wang

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 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

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Social Recommendation with Missing Not at Random Data.

Jiawei Chen, Can Wang, Martin Ester, Qihao Shi, Yan Feng, Chun Chen

Proceedings of the IEEE International Conference on Data Mining, 2018

CrowdAE: A Crowdsourcing System with Human Inspection Quality Enhancement for Web Accessibility Evaluation.

Liangcheng Li, Jiajun Bu, Can Wang, Zhi Yu, Wei Wang, Yue Wu, Chunbin Gu, Qin Zhou

Proceedings of the Computers Helping People with Special Needs, 2018

PRRE: Personalized Relation Ranking Embedding for Attributed Networks.

Sheng Zhou, Hongxia Yang, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jianwei Zhang, Can Wang

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Modeling Users' Exposure with Social Knowledge Influence and Consumption Influence for Recommendation.

Jiawei Chen, Yan Feng, Martin Ester, Sheng Zhou, Chun Chen, Can Wang

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Finding map regions with high density of query keywords.

Zhi Yu, Can Wang, Jiajun Bu, Xia Hu, Zhe Wang, Jia-he Jin

Frontiers Inf. Technol. Electron. Eng., 2017

An optimal sampling method for web accessibility quantitative metric and its online extension.

Mengni Zhang, Can Wang, Jiajun Bu, Liangcheng Li, Zhi Yu

Internet Res., 2017

Sales Forecast in E-commerce using Convolutional Neural Network.

Kui Zhao, Can Wang

CoRR, 2017

Effective Blog Pages Extractor for Better UGC Accessing.

Kui Zhao, Yi Wang, Xia Hu, Can Wang

CoRR, 2017

Navigation objects extraction for better content structure understanding.

Kui Zhao, Bangpeng Li, Zilun Peng, Jiajun Bu, Can Wang

Proceedings of the International Conference on Web Intelligence, 2017

Active learning for Web accessibility evaluation.

Mengni Zhang, Can Wang, Zhi Yu, Chao Shen, Jiajun Bu

Proceedings of the 14th Web for All Conference, 2017

WAEM: A Web Accessibility Evaluation Metric Based on Partial User Experience Order.

Shuyi Song, Can Wang, Liangcheng Li, Zhi Yu, Xiao Lin, Jiajun Bu

Proceedings of the 14th Web for All Conference, 2017

A task assignment strategy for crowdsourcing-based web accessibility evaluation system.

Liangcheng Li, Can Wang, Shuyi Song, Zhi Yu, Fenqin Zhou, Jiajun Bu

Proceedings of the 14th Web for All Conference, 2017

Deep Style Match for Complementary Recommendation.

Kui Zhao, Xia Hu, Jiajun Bu, Can Wang

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Dispersion Constraint Based Non-negative Sparse Coding Model.

Xin Wang, Can Wang, Li Shang, Zhan-Li Sun

Neural Process. Lett., 2016

Multi-class ℓ2-Boost with the scoring coding.

Lei Ye, Can Wang, Xin Xu, Wei Chen

Int. J. Wavelets Multiresolution Inf. Process., 2016

Group sparse feature selection on local learning based clustering.

Yue Wu, Can Wang, Jiajun Bu, Chun Chen

Neurocomputing, 2016

Social Recommendation with Strong and Weak Ties.

Xin Wang, Wei Lu, Martin Ester, Can Wang, Chun Chen

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

EMR: A Scalable Graph-Based Ranking Model for Content-Based Image Retrieval.

Bin Xu, Jiajun Bu, Chun Chen, Can Wang, Deng Cai, Xiaofei He

IEEE Trans. Knowl. Data Eng., 2015

A sampling method based on URL clustering for fast web accessibility evaluation.

Mengni Zhang, Can Wang, Jiajun Bu, Zhi Yu, Yu Zhou, Chun Chen

Frontiers Inf. Technol. Electron. Eng., 2015

Friend recommendation with content spread enhancement in social networks.

Zhi Yu, Can Wang, Jiajun Bu, Xin Wang, Yue Wu, Chun Chen

Inf. Sci., 2015

Unsupervised document summarization from data reconstruction perspective.

Zhanying He, Chun Chen, Jiajun Bu, Can Wang, Lijun Zhang, Deng Cai, Xiaofei He

Neurocomputing, 2015

An optimal sampling method for web accessibility quantitative metric.

Mengni Zhang, Can Wang, Jiajun Bu, Zhi Yu, Yi Lu, Ruijie Zhang, Chun Chen

Proceedings of the 12th Web for All Conference, 2015

Reduce the Shopping Distance: Map Region Search Based on High Order Voronoi Diagram.

Zhi Yu, Can Wang, Jiajun Bu, Mengni Zhang, Zejun Wu, Chun Chen

Proceedings of the Intelligent Computation in Big Data Era, 2015

2013

Subspace learning via Locally Constrained A-optimal nonnegative projection.

Ping Li, Jiajun Bu, Chun Chen, Can Wang, Deng Cai

Neurocomputing, 2013

Whom to mention: expand the diffusion of tweets by @ recommendation on micro-blogging systems.

Beidou Wang, Can Wang, Jiajun Bu, Chun Chen, Wei Vivian Zhang, Deng Cai, Xiaofei He

Proceedings of the 22nd International World Wide Web Conference, 2013

2012

Locally discriminative topic modeling.

Hao Wu, Jiajun Bu, Chun Chen, Jianke Zhu, Lijun Zhang, Haifeng Liu, Can Wang, Deng Cai

Pattern Recognit., 2012

Document Summarization Based on Data Reconstruction.

Zhanying He, Chun Chen, Jiajun Bu, Can Wang, Lijun Zhang, Deng Cai, Xiaofei He

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Using rich social media information for music recommendation via hypergraph model.

Shulong Tan, Jiajun Bu, Chun Chen, Bin Xu, Can Wang, Xiaofei He

ACM Trans. Multim. Comput. Commun. Appl., 2011

Graph Regularized Sparse Coding for Image Representation.

Miao Zheng, Jiajun Bu, Chun Chen, Can Wang, Lijun Zhang, Guang Qiu, Deng Cai

IEEE Trans. Image Process., 2011

Image representation using Laplacian regularized nonnegative tensor factorization.

Can Wang, Xiaofei He, Jiajun Bu, Zhengguang Chen, Chun Chen, Ziyu Guan

Pattern Recognit., 2011

2010

Online detection of bursty events and their evolution in news streams.

Wei Chen, Chun Chen, Lijun Zhang, Can Wang, Jiajun Bu

J. Zhejiang Univ. Sci. C, 2010

Efficient face recognition using tensor subspace regression.

Ziyu Guan, Can Wang, Zhengguang Chen, Jiajun Bu, Chun Chen

Neurocomputing, 2010

Constrained Laplacian Eigenmap for dimensionality reduction.

Chun Chen, Lijun Zhang, Jiajun Bu, Can Wang, Wei Chen

Neurocomputing, 2010

Document recommendation in social tagging services.

Ziyu Guan, Can Wang, Jiajun Bu, Chun Chen, Kun Yang, Deng Cai, Xiaofei He

Proceedings of the 19th International Conference on World Wide Web, 2010

Topic Decomposition and Summarization.

Wei Chen, Can Wang, Chun Chen, Lijun Zhang, Jiajun Bu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Music recommendation by unified hypergraph: combining social media information and music content.

Jiajun Bu, Shulong Tan, Chun Chen, Can Wang, Hao Wu, Lijun Zhang, Xiaofei He

Proceedings of the 18th International Conference on Multimedia 2010, 2010

Learning a user-thread alignment manifold for thread recommendation in online forum.

Jun Zhao, Jiajun Bu, Chun Chen, Ziyu Guan, Can Wang, Cheng Zhang

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Modeling Dynamic Multi-Topic Discussions in Online Forums.

Hao Wu, Jiajun Bu, Chun Chen, Can Wang, Guang Qiu, Lijun Zhang, Jianfeng Shen

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

G-Optimal Design with Laplacian Regularization.

Chun Chen, Zhengguang Chen, Jiajun Bu, Can Wang, Lijun Zhang, Cheng Zhang

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Image retrieval using nonlinear manifold embedding.

Can Wang, Jun Zhao, Xiaofei He, Chun Chen, Jiajun Bu

Neurocomputing, 2009

Tag-oriented document summarization.

Junyan Zhu, Can Wang, Xiaofei He, Jiajun Bu, Chun Chen, Shujie Shang, Mingcheng Qu, Gang Lu

Proceedings of the 18th International Conference on World Wide Web, 2009

News article extraction with template-independent wrapper.

Junfeng Wang, Xiaofei He, Can Wang, Jian Pei, Jiajun Bu, Chun Chen, Ziyu Guan, Gang Lu

Proceedings of the 18th International Conference on World Wide Web, 2009

Personalized tag recommendation using graph-based ranking on multi-type interrelated objects.

Ziyu Guan, Jiajun Bu, Qiaozhu Mei, Chun Chen, Can Wang

Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Learning to Extract Web News Title in Template Independent Way.

Can Wang, Junfeng Wang, Chun Chen, Li Lin, Ziyu Guan, Junyan Zhu, Cheng Zhang, Jiajun Bu

Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

Can we learn a template-independent wrapper for news article extraction from a single training site?

Junfeng Wang, Chun Chen, Can Wang, Jian Pei, Jiajun Bu, Ziyu Guan, Wei Vivian Zhang

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Fast Motion Estimation With Mini-Block For H.264/AVC.

Na Li, Can Wang, Jiajun Bu, Cheng Zhang, Jing Shen, Huiping Cui, Qinqin Zhang

Proceedings of the 2009 International Conference on Image Processing, 2009

2008

Model bloggers' interests based on forgetting mechanism.

Yuan Cheng, Guang Qiu, Jiajun Bu, Kangmiao Liu, Ye Han, Can Wang, Chun Chen

Proceedings of the 17th International Conference on World Wide Web, 2008

Guide focused crawler efficiently and effectively using on-line topical importance estimation.

Ziyu Guan, Can Wang, Chun Chen, Jiajun Bu, Junfeng Wang

Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Pervasive Web News Recommendation for Visually Impaired People.

Wei Chen, Lijun Zhang, Can Wang, Chun Chen, Jiajun Bu

Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

2007

Efficient Rejoining for Ubiquitous Collaborative Graphics Editing Systems.

Bo Jiang, Jiajun Bu, Can Wang, Chun Chen

Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, 2007

2006

EagleRank: A Novel Ranking Model for Web Image Search Engine.

Kangmiao Liu, Wei Chen, Chun Chen, Jiajun Bu, Can Wang, Peng Huang

Proceedings of the Advances in Multimedia Information Processing, 2006

2004

Remote invoking algorithms of self-healing system.

Yang Li, Can Wang, Yi Zhou, Zhaohui Wu

Proceedings of the IEEE International Conference on Systems, 2004

Research on concurrent algorithm of component software architecture.

Yang Li, Zhaohui Wu, Can Wang

Proceedings of the IEEE International Conference on Systems, 2004

A biological formal architecture of self-healing system.

Can Wang, Yang Li, Jianjun Bu

Proceedings of the IEEE International Conference on Systems, 2004