Can Wang

Orcid: 0000-0002-5890-4307

Affiliations:
  • Zhejiang University, College of Computer Science, Zhejiang Provincial Key Laboratory of Service Robot, Hangzhou, China (PhD 2009)


According to our database1, Can Wang authored at least 130 papers between 2004 and 2024.

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Timeline

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Bibliography

2024
Multi-exit self-distillation with appropriate teachers.
Frontiers Inf. Technol. Electron. Eng., March, 2024

Complementary influence maximization under comparative linear threshold model.
Expert Syst. Appl., March, 2024

Online adversarial knowledge distillation for graph neural networks.
Expert Syst. Appl., March, 2024

Robust misinformation prevention with uncertainty on suspicious nodes.
Neurocomputing, 2024

PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation.
CoRR, 2024

Towards Dynamic Graph Neural Networks with Provably High-Order Expressive Power.
CoRR, 2024

Simple and Fast Distillation of Diffusion Models.
CoRR, 2024

Conditional Image Synthesis with Diffusion Models: A Survey.
CoRR, 2024

LLM4DSR: Leveraing Large Language Model for Denoising Sequential Recommendation.
CoRR, 2024

Knowledge Distillation with Refined Logits.
CoRR, 2024

Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding.
CoRR, 2024

Motif-driven Subgraph Structure Learning for Graph Classification.
CoRR, 2024

How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective.
CoRR, 2024

Knowledge Translation: A New Pathway for Model Compression.
CoRR, 2024

Distributionally Robust Graph-based Recommendation System.
Proceedings of the ACM on Web Conference 2024, 2024

SIGformer: Sign-aware Graph Transformer for Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

On the Trajectory Regularity of ODE-based Diffusion Sampling.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Fast ODE-based Sampling for Diffusion Models in Around 5 Steps.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Online cross-layer knowledge distillation on graph neural networks with deep supervision.
Neural Comput. Appl., October, 2023

SemCKD: Semantic Calibration for Cross-Layer Knowledge Distillation.
IEEE Trans. Knowl. Data Eng., June, 2023

Adversarial gradient-based meta learning with metric-based test.
Knowl. Based Syst., March, 2023

Hierarchical Multi-View Graph Pooling With Structure Learning.
IEEE Trans. Knowl. Data Eng., 2023

SamWalker++: Recommendation With Informative Sampling Strategy.
IEEE Trans. Knowl. Data Eng., 2023

A Geometric Perspective on Diffusion Models.
CoRR, 2023

OpenGSL: A Comprehensive Benchmark for Graph Structure Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Knowledge Distillation with Deep Supervision.
Proceedings of the International Joint Conference on Neural Networks, 2023

Adaptive Multi-Teacher Knowledge Distillation with Meta-Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Accelerating Diffusion Sampling with Classifier-based Feature Distillation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Holistic Weighted Distillation for Semantic Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Customizing Synthetic Data for Data-Free Student Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

CDR: Conservative Doubly Robust Learning for Debiased Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Robust Sequence Networked Submodular Maximization.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Direction-Aware User Recommendation Based on Asymmetric Network Embedding.
ACM Trans. Inf. Syst., 2022

JointE: Jointly utilizing 1D and 2D convolution for knowledge graph embedding.
Knowl. Based Syst., 2022

Reducing power grid cascading failure propagation by minimizing algebraic connectivity in edge addition.
Frontiers Inf. Technol. Electron. Eng., 2022

Interpreting the vulnerability of power systems in cascading failures using multi-graph convolutional networks.
Frontiers Inf. Technol. Electron. Eng., 2022

Improving Knowledge Graph Embedding via Iterative Self-Semantic Knowledge Distillation.
CoRR, 2022

Deeply-Supervised Knowledge Distillation.
CoRR, 2022

Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding.
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.
Proceedings of the International Joint Conference on Neural Networks, 2022

Confidence-Aware Multi-Teacher Knowledge Distillation.
Proceedings of the IEEE International Conference on Acoustics, 2022

Adaptive Seed Minimization for Diversified Influence Maximization.
Proceedings of the 5th International Conference on Data Science and Information Technology, 2022

Source-Free Unsupervised Domain Adaptation in Imbalanced Datasets.
Proceedings of the 5th International Conference on Data Science and Information Technology, 2022

Knowledge Distillation with the Reused Teacher Classifier.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation.
ACM Trans. Inf. Syst., 2021

Profit maximization for competitive social advertising.
Theor. Comput. Sci., 2021

TigeCMN: On exploration of temporal interaction graph embedding via Coupled Memory Neural Networks.
Neural Networks, 2021

Efficient diversified influence maximization with adaptive policies.
Knowl. Based Syst., 2021

Efficient influence spread management via budget allocation at community scale.
Expert Syst. Appl., 2021

Online Adversarial Distillation for Graph Neural Networks.
CoRR, 2021

Exploring the Connection between Knowledge Distillation and Logits Matching.
CoRR, 2021

Fast convergence for federated learning in OFDMA systems.
Proceedings of the 32nd IEEE Annual International Symposium on Personal, 2021

H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Distilling Holistic Knowledge with Graph Neural Networks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Online Adversarial Knowledge Distillation for Image Synthesis of Bridge Defect.
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.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Cross Multi-Type Objects Clustering in Attributed Heterogeneous Information Network.
Knowl. Based Syst., 2020

Learning Temporal Interaction Graph Embedding via Coupled Memory Networks.
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.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Online Knowledge Distillation with Diverse Peers.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Location driven influence maximization: Online spread via offline deployment.
Knowl. Based Syst., 2019

Unsupervised feature selection via joint local learning and group sparse regression.
Frontiers Inf. Technol. Electron. Eng., 2019

Post and repost: A holistic view of budgeted influence maximization.
Neurocomputing, 2019

Social recommendation based on users' attention and preference.
Neurocomputing, 2019

Hierarchical Graph Pooling with Structure Learning.
CoRR, 2019

An Interactive Insight Identification and Annotation Framework for Power Grid Pixel Maps using DenseU-Hierarchical VAE.
CoRR, 2019

HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding.
CoRR, 2019

SamWalker: Social Recommendation with Informative Sampling Strategy.
Proceedings of the World Wide Web Conference, 2019

Adaptive Influence Blocking: Minimizing the Negative Spread by Observation-Based Policies.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Multi-task based Sales Predictions for Online Promotions.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Crowdsourcing-Based Web Accessibility Evaluation with Golden Maximum Likelihood Inference.
Proc. ACM Hum. Comput. Interact., 2018

Web Accessibility Evaluation in a Crowdsourcing-Based System with Expertise-Based Decision Strategy.
Proceedings of the 15th Web for All Conference, 2018

Mobile Access Record Resolution on Large-Scale Identifier-Linkage Graphs.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

ANRL: Attributed Network Representation Learning via Deep Neural Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Social Recommendation with Missing Not at Random Data.
Proceedings of the IEEE International Conference on Data Mining, 2018

CrowdAE: A Crowdsourcing System with Human Inspection Quality Enhancement for Web Accessibility Evaluation.
Proceedings of the Computers Helping People with Special Needs, 2018

PRRE: Personalized Relation Ranking Embedding for Attributed Networks.
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.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Finding map regions with high density of query keywords.
Frontiers Inf. Technol. Electron. Eng., 2017

An optimal sampling method for web accessibility quantitative metric and its online extension.
Internet Res., 2017

Sales Forecast in E-commerce using Convolutional Neural Network.
CoRR, 2017

Effective Blog Pages Extractor for Better UGC Accessing.
CoRR, 2017

Navigation objects extraction for better content structure understanding.
Proceedings of the International Conference on Web Intelligence, 2017

Active learning for Web accessibility evaluation.
Proceedings of the 14th Web for All Conference, 2017

WAEM: A Web Accessibility Evaluation Metric Based on Partial User Experience Order.
Proceedings of the 14th Web for All Conference, 2017

A task assignment strategy for crowdsourcing-based web accessibility evaluation system.
Proceedings of the 14th Web for All Conference, 2017

Deep Style Match for Complementary Recommendation.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Dispersion Constraint Based Non-negative Sparse Coding Model.
Neural Process. Lett., 2016

Multi-class ℓ2-Boost with the scoring coding.
Int. J. Wavelets Multiresolution Inf. Process., 2016

Group sparse feature selection on local learning based clustering.
Neurocomputing, 2016

Social Recommendation with Strong and Weak Ties.
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.
IEEE Trans. Knowl. Data Eng., 2015

A sampling method based on URL clustering for fast web accessibility evaluation.
Frontiers Inf. Technol. Electron. Eng., 2015

Friend recommendation with content spread enhancement in social networks.
Inf. Sci., 2015

Unsupervised document summarization from data reconstruction perspective.
Neurocomputing, 2015

An optimal sampling method for web accessibility quantitative metric.
Proceedings of the 12th Web for All Conference, 2015

Reduce the Shopping Distance: Map Region Search Based on High Order Voronoi Diagram.
Proceedings of the Intelligent Computation in Big Data Era, 2015

2013
Subspace learning via Locally Constrained A-optimal nonnegative projection.
Neurocomputing, 2013

Whom to mention: expand the diffusion of tweets by @ recommendation on micro-blogging systems.
Proceedings of the 22nd International World Wide Web Conference, 2013

2012
Locally discriminative topic modeling.
Pattern Recognit., 2012

Document Summarization Based on Data Reconstruction.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Using rich social media information for music recommendation via hypergraph model.
ACM Trans. Multim. Comput. Commun. Appl., 2011

Graph Regularized Sparse Coding for Image Representation.
IEEE Trans. Image Process., 2011

Image representation using Laplacian regularized nonnegative tensor factorization.
Pattern Recognit., 2011

2010
Online detection of bursty events and their evolution in news streams.
J. Zhejiang Univ. Sci. C, 2010

Efficient face recognition using tensor subspace regression.
Neurocomputing, 2010

Constrained Laplacian Eigenmap for dimensionality reduction.
Neurocomputing, 2010

Document recommendation in social tagging services.
Proceedings of the 19th International Conference on World Wide Web, 2010

Topic Decomposition and Summarization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Music recommendation by unified hypergraph: combining social media information and music content.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

Learning a user-thread alignment manifold for thread recommendation in online forum.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Modeling Dynamic Multi-Topic Discussions in Online Forums.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

G-Optimal Design with Laplacian Regularization.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Image retrieval using nonlinear manifold embedding.
Neurocomputing, 2009

Tag-oriented document summarization.
Proceedings of the 18th International Conference on World Wide Web, 2009

News article extraction with template-independent wrapper.
Proceedings of the 18th International Conference on World Wide Web, 2009

Personalized tag recommendation using graph-based ranking on multi-type interrelated objects.
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.
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?
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.
Proceedings of the 2009 International Conference on Image Processing, 2009

2008
Model bloggers' interests based on forgetting mechanism.
Proceedings of the 17th International Conference on World Wide Web, 2008

Guide focused crawler efficiently and effectively using on-line topical importance estimation.
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.
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.
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.
Proceedings of the Advances in Multimedia Information Processing, 2006

2004
Remote invoking algorithms of self-healing system.
Proceedings of the IEEE International Conference on Systems, 2004

Research on concurrent algorithm of component software architecture.
Proceedings of the IEEE International Conference on Systems, 2004

A biological formal architecture of self-healing system.
Proceedings of the IEEE International Conference on Systems, 2004


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