Can Wang - RankMe

193 papers A* 45A 13B 4C 1Misc 1Journal 109Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Intelligent Interactive Visual Analytics System for Exploring Large and Multi-Scale Pathology Images. IEEE Trans. Vis. Comput. Graph. Chaoqing Xu, Ruiqi Yang, Weihan Li, Xinyuan Fu, Liting Fang, Zunlei Feng, Xiuming Zhang, Can Wang, Mingli Song, Wei Chen
2026	J	`jnl`	Analyzing and Improving Fast Sampling of Text-to-Image Diffusion Models. CoRR Zhenyu Zhou, Defang Chen, Siwei Lyu, Chun Chen, Can Wang
2026	J	`jnl`	BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models. CoRR Weiqin Yang, Bohao Wang, Zhenxiang Xu, Jiawei Chen, Shengjia Zhang, Jingbang Chen, Canghong Jin, Can Wang
2026	A*	`conf`	DICE: Distilling Classifier-Free Guidance into Text Embeddings. AAAI Zhenyu Zhou, Defang Chen, Can Wang, Chun Chen, Siwei Lyu
2026	A*	`conf`	Does LLM Focus on the Right Words? Mitigating Context Bias in LLM-based Recommenders. WWW Bohao Wang, Jiawei Chen, Feng Liu, Changwang Zhang, Jun Wang, Canghong Jin, Chun Chen, Can Wang
2026	A*	`conf`	Field Matters: A Lightweight LLM-enhanced Method for CTR Prediction. WWW Yu Cui, Feng Liu, Jiawei Chen, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Xiaohu Yang, Can Wang
2026	J	`jnl`	LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation. ACM Trans. Inf. Syst. Bohao Wang, Feng Liu, Changwang Zhang, Jiawei Chen, Yudi Wu, Sheng Zhou, Xingyu Lou, Jun Wang, Yan Feng, Chun Chen, Can Wang
2026	J	`jnl`	SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential Recommendation. CoRR Yu Cui, Feng Liu, Zhaoxiang Wang, Changwang Zhang, Jun Wang, Can Wang, Jiawei Chen
2026	A*	`conf`	Talos: Optimizing Top-K Accuracy in Recommender Systems. WWW Shengjia Zhang, Weiqin Yang, Jiawei Chen, Peng Wu, Yuegang Sun, Gang Wang, Qihao Shi, Can Wang
2026	J	`jnl`	Talos: Optimizing Top-K Accuracy in Recommender Systems. CoRR Shengjia Zhang, Weiqin Yang, Jiawei Chen, Peng Wu, Yuegang Sun, Gang Wang, Qihao Shi, Can Wang
2026	A*	`conf`	TopKGAT: A Top-K Objective-Driven Architecture for Recommendation. WWW Sirui Chen, Jiawei Chen, Canghong Jin, Sheng Zhou, Jingbang Chen, Wujie Sun, Can Wang
2026	J	`jnl`	TopKGAT: A Top-K Objective-Driven Architecture for Recommendation. CoRR Sirui Chen, Jiawei Chen, Canghong Jin, Sheng Zhou, Jingbang Chen, Wujie Sun, Can Wang
2026	J	`jnl`	Trie-Aware Transformers for Generative Recommendation. CoRR Zhenxiang Xu, Jiawei Chen, Sirui Chen, Yong He, Jieyu Yang, Chuan Yuan, Ke Ding, Can Wang
2025	A*	`conf`	Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution. AAAI Shengjia Zhang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang
2025	J	`jnl`	Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution. CoRR Shengjia Zhang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang
2025	—	`conf`	Breaking the Top- KDD (2) Weiqin Yang, Jiawei Chen, Shengjia Zhang, Peng Wu, Yuegang Sun, Yan Feng, Chun Chen, Can Wang
2025	J	`jnl`	Breaking the Top- CoRR Weiqin Yang, Jiawei Chen, Shengjia Zhang, Peng Wu, Yuegang Sun, Yan Feng, Chun Chen, Can Wang
2025	J	`jnl`	Comparative Influence Maximization With Adaptive Policy. IEEE Access Xingliang Lv, Qihao Shi, Can Wang
2025	J	`jnl`	Conditional Image Synthesis with Diffusion Models: A Survey. Trans. Mach. Learn. Res. Zheyuan Zhan, Defang Chen, Jian-Ping Mei, Zhenghe Zhao, Jiawei Chen, Chun Chen, Siwei Lyu, Can Wang
2025	A*	`conf`	DICE: Data Influence Cascade in Decentralized Learning. ICLR Tongtian Zhu, Wenhao Li, Can Wang, Fengxiang He
2025	J	`jnl`	DICE: Data Influence Cascade in Decentralized Learning. CoRR Tongtian Zhu, Wenhao Li, Can Wang, Fengxiang He
2025	J	`jnl`	DICE: Distilling Classifier-Free Guidance into Text Embeddings. CoRR Zhenyu Zhou, Defang Chen, Can Wang, Chun Chen, Siwei Lyu
2025	J	`jnl`	Does LLM Focus on the Right Words? Diagnosing Language Bias in LLM-based Recommenders. CoRR Bohao Wang, Jiawei Chen, Feng Liu, Changwang Zhang, Jun Wang, Canghong Jin, Chun Chen, Can Wang
2025	A	`conf`	Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding. WSDM Zhe Wang, Sheng Zhou, Jiawei Chen, Zhen Zhang, Binbin Hu, Yan Feng, Chun Chen, Can Wang
2025	J	`jnl`	Field Matters: A lightweight LLM-enhanced Method for CTR Prediction. CoRR Yu Cui, Feng Liu, Jiawei Chen, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Xiaohu Yang, Can Wang
2025	J	`jnl`	Geometric Regularity in Deterministic Sampling of Diffusion-based Generative Models. CoRR Defang Chen, Zhenyu Zhou, Can Wang, Siwei Lyu
2025	J	`jnl`	HatLLM: Hierarchical Attention Masking for Enhanced Collaborative Modeling in LLM-based Recommendation. CoRR Yu Cui, Feng Liu, Jiawei Chen, Canghong Jin, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Can Wang
2025	A	`conf`	How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective. WSDM Siyi Lin, Chongming Gao, Jiawei Chen, Sheng Zhou, Binbin Hu, Yan Feng, Chun Chen, Can Wang
2025	J	`jnl`	Lie Symmetry Net: Preserving Conservation Laws in Modelling Financial Market Dynamics via Differential Equations. Trans. Mach. Learn. Res. Xuelian Jiang, Tongtian Zhu, Yingxiang Xu, Can Wang, Yeyu Zhang, Fengxiang He
2025	A*	`conf`	MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender. SIGIR Bohao Wang, Feng Liu, Jiawei Chen, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Yan Feng, Chun Chen, Can Wang
2025	J	`jnl`	MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender. CoRR Bohao Wang, Feng Liu, Jiawei Chen, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Yan Feng, Chun Chen, Can Wang
2025	J	`jnl`	OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation. CoRR Shengjia Zhang, Junjie Wu, Jiawei Chen, Changwang Zhang, Xingyu Lou, Wangchunshu Zhou, Sheng Zhou, Can Wang, Jun Wang
2025	A*	`conf`	Rankformer: A Graph Transformer for Recommendation based on Ranking Objective. WWW Sirui Chen, Shen Han, Jiawei Chen, Binbin Hu, Sheng Zhou, Gang Wang, Yan Feng, Chun Chen, Can Wang
2025	J	`jnl`	Rankformer: A Graph Transformer for Recommendation based on Ranking Objective. CoRR Sirui Chen, Shen Han, Jiawei Chen, Binbin Hu, Sheng Zhou, Gang Wang, Yan Feng, Chun Chen, Can Wang
2025	J	`jnl`	Recent Advances on Generalizable Diffusion-generated Image Detection. CoRR Qijie Xu, Defang Chen, Jiawei Chen, Siwei Lyu, Can Wang
2025	A*	`conf`	Uncertainty-Aware Graph Structure Learning. WWW Shen Han, Zhiyao Zhou, Jiawei Chen, Zhezheng Hao, Sheng Zhou, Gang Wang, Yan Feng, Chun Chen, Can Wang
2025	J	`jnl`	Uncertainty-Aware Graph Structure Learning. CoRR Shen Han, Zhiyao Zhou, Jiawei Chen, Zhezheng Hao, Sheng Zhou, Gang Wang, Yan Feng, Chun Chen, Can Wang
2024	J	`jnl`	Complementary influence maximization under comparative linear threshold model. Expert Syst. Appl. Wujian Yang, Qihao Shi, Jiangzhe Yan, Can Wang, Mingli Song, Minghui Wu
2024	J	`jnl`	Conditional Image Synthesis with Diffusion Models: A Survey. CoRR Zheyuan Zhan, Defang Chen, Jian-Ping Mei, Zhenghe Zhao, Jiawei Chen, Chun Chen, Siwei Lyu, Can Wang
2024	A	`conf`	Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding. CIKM Yichen Liu, Jiawei Chen, Defang Chen, Zhehui Zhou, Yan Feng, Can Wang
2024	A*	`conf`	Distributionally Robust Graph-based Recommendation System. WWW Bohao Wang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi, Yang Gao, Yan Feng, Chun Chen, Can Wang
2024	J	`jnl`	Distributionally Robust Graph-based Recommendation System. CoRR Bohao Wang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi, Yang Gao, Yan Feng, Chun Chen, Can Wang
2024	J	`jnl`	Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding. CoRR Zhe Wang, Sheng Zhou, Jiawei Chen, Zhen Zhang, Binbin Hu, Yan Feng, Chun Chen, Can Wang
2024	A*	`conf`	Fast ODE-based Sampling for Diffusion Models in Around 5 Steps. CVPR Zhenyu Zhou, Defang Chen, Can Wang, Chun Chen
2024	A*	`conf`	Fast Query Answering by Labeling Index on Uncertain Graphs. ICDE Zeyu Wang, Qihao Shi, Jiawei Chen, Can Wang, Mingli Song, Xinyu Wang
2024	J	`jnl`	How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective. CoRR Siyi Lin, Chongming Gao, Jiawei Chen, Sheng Zhou, Binbin Hu, Can Wang
2024	J	`jnl`	Knowledge Distillation with Refined Logits. CoRR Wujie Sun, Defang Chen, Siwei Lyu, Genlang Chen, Chun Chen, Can Wang
2024	J	`jnl`	Knowledge Translation: A New Pathway for Model Compression. CoRR Wujie Sun, Defang Chen, Jiawei Chen, Yan Feng, Chun Chen, Can Wang
2024	J	`jnl`	LLM4DSR: Leveraing Large Language Model for Denoising Sequential Recommendation. CoRR Bohao Wang, Feng Liu, Jiawei Chen, Yudi Wu, Xingyu Lou, Jun Wang, Yan Feng, Chun Chen, Can Wang
2024	J	`jnl`	Motif-driven Subgraph Structure Learning for Graph Classification. CoRR Zhiyao Zhou, Sheng Zhou, Bochao Mao, Jiawei Chen, Qingyun Sun, Yan Feng, Chun Chen, Can Wang
2024	J	`jnl`	Multi-exit self-distillation with appropriate teachers. Frontiers Inf. Technol. Electron. Eng. Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen
2024	A*	`conf`	On the Trajectory Regularity of ODE-based Diffusion Sampling. ICML Defang Chen, Zhenyu Zhou, Can Wang, Chunhua Shen, Siwei Lyu
2024	J	`jnl`	On the Trajectory Regularity of ODE-based Diffusion Sampling. CoRR Defang Chen, Zhenyu Zhou, Can Wang, Chunhua Shen, Siwei Lyu
2024	J	`jnl`	Online adversarial knowledge distillation for graph neural networks. Expert Syst. Appl. Can Wang, Zhe Wang, Defang Chen, Sheng Zhou, Yan Feng, Chun Chen
2024	A*	`conf`	PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation. NeurIPS Weiqin Yang, Jiawei Chen, Xin Xin, Sheng Zhou, Binbin Hu, Yan Feng, Chun Chen, Can Wang
2024	J	`jnl`	PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation. CoRR Weiqin Yang, Jiawei Chen, Xin Xin, Sheng Zhou, Binbin Hu, Yan Feng, Chun Chen, Can Wang
2024	J	`jnl`	ReCRec: Reasoning the Causes of Implicit Feedback for Debiased Recommendation. ACM Trans. Inf. Syst. Siyi Lin, Sheng Zhou, Jiawei Chen, Yan Feng, Qihao Shi, Chun Chen, Ying Li, Can Wang
2024	J	`jnl`	Robust misinformation prevention with uncertainty on suspicious nodes. Neurocomputing Qihao Shi, Wujian Yang, Can Wang, Mingli Song
2024	A*	`conf`	SIGformer: Sign-aware Graph Transformer for Recommendation. SIGIR Sirui Chen, Jiawei Chen, Sheng Zhou, Bohao Wang, Shen Han, Chanfei Su, Yuqing Yuan, Can Wang
2024	J	`jnl`	SIGformer: Sign-aware Graph Transformer for Recommendation. CoRR Sirui Chen, Jiawei Chen, Sheng Zhou, Bohao Wang, Shen Han, Chanfei Su, Yuqing Yuan, Can Wang
2024	A*	`conf`	Simple and Fast Distillation of Diffusion Models. NeurIPS Zhenyu Zhou, Defang Chen, Can Wang, Chun Chen, Siwei Lyu
2024	J	`jnl`	Simple and Fast Distillation of Diffusion Models. CoRR Zhenyu Zhou, Defang Chen, Can Wang, Chun Chen, Siwei Lyu
2024	J	`jnl`	Towards Dynamic Graph Neural Networks with Provably High-Order Expressive Power. CoRR Zhe Wang, Tianjian Zhao, Zhen Zhang, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen, Can Wang
2023	J	`jnl`	A Geometric Perspective on Diffusion Models. CoRR Defang Chen, Zhenyu Zhou, Jian-Ping Mei, Chunhua Shen, Chun Chen, Can Wang
2023	A	`conf`	Accelerating Diffusion Sampling with Classifier-based Feature Distillation. ICME Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen
2023	A	`conf`	Adaptive Multi-Teacher Knowledge Distillation with Meta-Learning. ICME Hailin Zhang, Defang Chen, Can Wang
2023	J	`jnl`	Adaptive Multi-Teacher Knowledge Distillation with Meta-Learning. CoRR Hailin Zhang, Defang Chen, Can Wang
2023	J	`jnl`	Adversarial gradient-based meta learning with metric-based test. Knowl. Based Syst. Yangguang Zhang, Can Wang, Qihao Shi, Yan Feng, Chun Chen
2023	A	`conf`	CDR: Conservative Doubly Robust Learning for Debiased Recommendation. CIKM Zijie Song, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang
2023	J	`jnl`	CDR: Conservative Doubly Robust Learning for Debiased Recommendation. CoRR Zijie Song, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang
2023	A	`conf`	Customizing Synthetic Data for Data-Free Student Learning. ICME Shiya Luo, Defang Chen, Can Wang
2023	J	`jnl`	Customizing Synthetic Data for Data-Free Student Learning. CoRR Shiya Luo, Defang Chen, Can Wang
2023	J	`jnl`	Fast ODE-based Sampling for Diffusion Models in Around 5 Steps. CoRR Zhenyu Zhou, Defang Chen, Can Wang, Chun Chen
2023	J	`jnl`	Hierarchical Multi-View Graph Pooling With Structure Learning. IEEE Trans. Knowl. Data Eng. Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Zhao Li, Chengwei Yao, Huifen Dai, Zhi Yu, Can Wang
2023	A	`conf`	Holistic Weighted Distillation for Semantic Segmentation. ICME Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen
2023	B	`conf`	Knowledge Distillation with Deep Supervision. IJCNN Shiya Luo, Defang Chen, Can Wang
2023	J	`jnl`	Online cross-layer knowledge distillation on graph neural networks with deep supervision. Neural Comput. Appl. Jiongyu Guo, Defang Chen, Can Wang
2023	A*	`conf`	OpenGSL: A Comprehensive Benchmark for Graph Structure Learning. NeurIPS Zhiyao Zhou, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Yan Feng, Chun Chen, Can Wang
2023	J	`jnl`	OpenGSL: A Comprehensive Benchmark for Graph Structure Learning. CoRR Zhiyao Zhou, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Can Wang, Yan Feng, Chun Chen
2023	A*	`conf`	Robust Sequence Networked Submodular Maximization. AAAI Qihao Shi, Bingyang Fu, Can Wang, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen
2023	J	`jnl`	SamWalker++: Recommendation With Informative Sampling Strategy. IEEE Trans. Knowl. Data Eng. Can Wang, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen
2023	J	`jnl`	SemCKD: Semantic Calibration for Cross-Layer Knowledge Distillation. IEEE Trans. Knowl. Data Eng. Can Wang, Defang Chen, Jian-Ping Mei, Yuan Zhang, Yan Feng, Chun Chen
2022	J	`jnl`	Accelerating Diffusion Sampling with Classifier-based Feature Distillation. CoRR Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen
2022	—	`conf`	Adaptive Seed Minimization for Diversified Influence Maximization. DSIT Yangguang Zhang, Qi Chen, Ji Shen, Qihao Shi, Can Wang
2022	B	`conf`	Alignahead: Online Cross-Layer Knowledge Extraction on Graph Neural Networks. IJCNN Jiongyu Guo, Defang Chen, Can Wang
2022	J	`jnl`	Alignahead: Online Cross-Layer Knowledge Extraction on Graph Neural Networks. CoRR Jiongyu Guo, Defang Chen, Can Wang
2022	A*	`conf`	Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding. WWW Can Wang, Sheng Zhou, Kang Yu, Defang Chen, Bolang Li, Yan Feng, Chun Chen
2022	Misc	`conf`	Confidence-Aware Multi-Teacher Knowledge Distillation. ICASSP Hailin Zhang, Defang Chen, Can Wang
2022	J	`jnl`	Confidence-Aware Multi-Teacher Knowledge Distillation. CoRR Hailin Zhang, Defang Chen, Can Wang
2022	J	`jnl`	Deeply-Supervised Knowledge Distillation. CoRR Shiya Luo, Defang Chen, Can Wang
2022	J	`jnl`	Direction-Aware User Recommendation Based on Asymmetric Network Embedding. ACM Trans. Inf. Syst. Sheng Zhou, Xin Wang, Martin Ester, Bolang Li, Chen Ye, Zhen Zhang, Can Wang, Jiajun Bu
2022	J	`jnl`	Improving Knowledge Graph Embedding via Iterative Self-Semantic Knowledge Distillation. CoRR Zhehui Zhou, Defang Chen, Can Wang, Yan Feng, Chun Chen
2022	J	`jnl`	Interpreting the vulnerability of power systems in cascading failures using multi-graph convolutional networks. Frontiers Inf. Technol. Electron. Eng. Supaporn Lonapalawong, Changsheng Chen, Can Wang, Wei Chen
2022	J	`jnl`	JointE: Jointly utilizing 1D and 2D convolution for knowledge graph embedding. Knowl. Based Syst. Zhehui Zhou, Can Wang, Yan Feng, Defang Chen
2022	A*	`conf`	Knowledge Distillation with the Reused Teacher Classifier. CVPR Defang Chen, Jian-Ping Mei, Hailin Zhang, Can Wang, Yan Feng, Chun Chen
2022	J	`jnl`	Knowledge Distillation with the Reused Teacher Classifier. CoRR Defang Chen, Jian-Ping Mei, Hailin Zhang, Can Wang, Yan Feng, Chun Chen
2022	J	`jnl`	Online Cross-Layer Knowledge Distillation on Graph Neural Networks with Deep Supervision. CoRR Jiongyu Guo, Defang Chen, Can Wang
2022	J	`jnl`	Reducing power grid cascading failure propagation by minimizing algebraic connectivity in edge addition. Frontiers Inf. Technol. Electron. Eng. Supaporn Lonapalawong, Jiangzhe Yan, Jiayu Li, Deshi Ye, Wei Chen, Yong Tang, Yanhao Huang, Can Wang
2022	J	`jnl`	Robust Sequence Networked Submodular Maximization. CoRR Qihao Shi, Bingyang Fu, Can Wang, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen
2022	—	`conf`	Source-Free Unsupervised Domain Adaptation in Imbalanced Datasets. DSIT Wujie Sun, Qi Chen, Can Wang, Deshi Ye, Chun Chen
2021	J	`jnl`	CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation. ACM Trans. Inf. Syst. Jiawei Chen, Chengquan Jiang, Can Wang, Sheng Zhou, Yan Feng, Chun Chen, Martin Ester, Xiangnan He
2021	A*	`conf`	Cross-Layer Distillation with Semantic Calibration. AAAI Defang Chen, Jian-Ping Mei, Yuan Zhang, Can Wang, Zhe Wang, Yan Feng, Chun Chen
2021	A*	`conf`	Distilling Holistic Knowledge with Graph Neural Networks. ICCV Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu
2021	J	`jnl`	Distilling Holistic Knowledge with Graph Neural Networks. CoRR Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu
2021	J	`jnl`	Efficient diversified influence maximization with adaptive policies. Knowl. Based Syst. Can Wang, Qihao Shi, Weizhao Xian, Yan Feng, Chun Chen
2021	J	`jnl`	Efficient influence spread management via budget allocation at community scale. Expert Syst. Appl. Can Wang, Yangguang Zhang, Qihao Shi, Yan Feng, Chun Chen
2021	J	`jnl`	Exploring the Connection between Knowledge Distillation and Logits Matching. CoRR Defang Chen, Can Wang, Yan Feng, Chun Chen
2021	B	`conf`	Fast convergence for federated learning in OFDMA systems. PIMRC Deshi Ye, Songyang Chen, Can Wang
2021	A*	`conf`	H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks. KDD Zhen Zhang, Jiajun Bu, Martin Ester, Zhao Li, Chengwei Yao, Zhi Yu, Can Wang
2021	J	`jnl`	Online Adversarial Distillation for Graph Neural Networks. CoRR Can Wang, Zhe Wang, Defang Chen, Sheng Zhou, Yan Feng, Chun Chen
2021	—	`conf`	Online Adversarial Knowledge Distillation for Image Synthesis of Bridge Defect. CSAE Jiongyu Guo, Can Wang, Yan Feng
2021	J	`jnl`	Profit maximization for competitive social advertising. Theor. Comput. Sci. Qihao Shi, Can Wang, Deshi Ye, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen, Yanhao Huang
2021	J	`jnl`	TigeCMN: On exploration of temporal interaction graph embedding via Coupled Memory Neural Networks. Neural Networks Zhen Zhang, Jiajun Bu, Zhao Li, Chengwei Yao, Can Wang, Jia Wu
2020	J	`jnl`	CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation. CoRR Jiawei Chen, Chengquan Jiang, Can Wang, Sheng Zhou, Yan Feng, Chun Chen, Martin Ester, Xiangnan He
2020	J	`jnl`	Cross Multi-Type Objects Clustering in Attributed Heterogeneous Information Network. Knowl. Based Syst. Sheng Zhou, Jiajun Bu, Zhen Zhang, Can Wang, Lingzhou Ma, Jianfeng Zhang
2020	J	`jnl`	Cross-Layer Distillation with Semantic Calibration. CoRR Defang Chen, Jian-Ping Mei, Yuan Zhang, Can Wang, Zhe Wang, Yan Feng, Chun Chen
2020	A*	`conf`	DGE: Deep Generative Network Embedding Based on Commonality and Individuality. AAAI Sheng Zhou, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jiawei Chen, Qihao Shi, Can Wang
2020	A*	`conf`	Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback. AAAI Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen
2020	J	`jnl`	Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback. CoRR Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen
2020	A*	`conf`	Learning Temporal Interaction Graph Embedding via Coupled Memory Networks. WWW Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhao Li, Can Wang
2020	A*	`conf`	Online Knowledge Distillation with Diverse Peers. AAAI Defang Chen, Jian-Ping Mei, Can Wang, Yan Feng, Chun Chen
2020	J	`jnl`	SamWalker++: recommendation with informative sampling strategy. CoRR Can Wang, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen
2019	A*	`conf`	Adaptive Influence Blocking: Minimizing the Negative Spread by Observation-Based Policies. ICDE Qihao Shi, Can Wang, Deshi Ye, Jiawei Chen, Yan Feng, Chun Chen
2019	J	`jnl`	An Interactive Insight Identification and Annotation Framework for Power Grid Pixel Maps using DenseU-Hierarchical VAE. CoRR Tianye Zhang, Haozhe Feng, Zexian Chen, Can Wang, Yanhao Huang, Yong Tang, Wei Chen
2019	J	`jnl`	HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding. CoRR Sheng Zhou, Jiajun Bu, Xin Wang, Jiawei Chen, Bingbing Hu, Defang Chen, Can Wang
2019	J	`jnl`	Hierarchical Graph Pooling with Structure Learning. CoRR Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhi Yu, Can Wang
2019	J	`jnl`	Location driven influence maximization: Online spread via offline deployment. Knowl. Based Syst. Qihao Shi, Can Wang, Jiawei Chen, Yan Feng, Chun Chen
2019	A	`conf`	Multi-task based Sales Predictions for Online Promotions. CIKM Shen Xin, Martin Ester, Jiajun Bu, Chengwei Yao, Zhao Li, Xun Zhou, Yizhou Ye, Can Wang
2019	J	`jnl`	Online Knowledge Distillation with Diverse Peers. CoRR Defang Chen, Jian-Ping Mei, Can Wang, Yan Feng, Chun Chen
2019	J	`jnl`	Post and repost: A holistic view of budgeted influence maximization. Neurocomputing Qihao Shi, Can Wang, Jiawei Chen, Yan Feng, Chun Chen
2019	A*	`conf`	SamWalker: Social Recommendation with Informative Sampling Strategy. WWW Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen
2019	J	`jnl`	Social recommendation based on users' attention and preference. Neurocomputing Jiawei Chen, Can Wang, Qihao Shi, Yan Feng, Chun Chen
2019	J	`jnl`	Unsupervised feature selection via joint local learning and group sparse regression. Frontiers Inf. Technol. Electron. Eng. Yue Wu, Can Wang, Yue-qing Zhang, Jiajun Bu
2018	A*	`conf`	ANRL: Attributed Network Representation Learning via Deep Neural Networks. IJCAI Zhen Zhang, Hongxia Yang, Jiajun Bu, Sheng Zhou, Pinggang Yu, Jianwei Zhang, Martin Ester, Can Wang
2018	—	`conf`	CrowdAE: A Crowdsourcing System with Human Inspection Quality Enhancement for Web Accessibility Evaluation. ICCHP (1) Liangcheng Li, Jiajun Bu, Can Wang, Zhi Yu, Wei Wang, Yue Wu, Chunbin Gu, Qin Zhou
2018	J	`jnl`	Crowdsourcing-Based Web Accessibility Evaluation with Golden Maximum Likelihood Inference. Proc. ACM Hum. Comput. Interact. Shuyi Song, Jiajun Bu, Andreas Artmeier, Keyue Shi, Ye Wang, Zhi Yu, Can Wang
2018	A*	`conf`	Mobile Access Record Resolution on Large-Scale Identifier-Linkage Graphs. KDD Xin Shen, Hongxia Yang, Weizhao Xian, Martin Ester, Jiajun Bu, Zhongyao Wang, Can Wang
2018	A	`conf`	Modeling Users' Exposure with Social Knowledge Influence and Consumption Influence for Recommendation. CIKM Jiawei Chen, Yan Feng, Martin Ester, Sheng Zhou, Chun Chen, Can Wang
2018	A	`conf`	PRRE: Personalized Relation Ranking Embedding for Attributed Networks. CIKM Sheng Zhou, Hongxia Yang, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jianwei Zhang, Can Wang
2018	A*	`conf`	Social Recommendation with Missing Not at Random Data. ICDM Jiawei Chen, Can Wang, Martin Ester, Qihao Shi, Yan Feng, Chun Chen
2018	—	`conf`	Web Accessibility Evaluation in a Crowdsourcing-Based System with Expertise-Based Decision Strategy. W4A Shuyi Song, Jiajun Bu, Ye Wang, Zhi Yu, Andreas Artmeier, Lianjun Dai, Can Wang
2017	—	`conf`	A task assignment strategy for crowdsourcing-based web accessibility evaluation system. W4A Liangcheng Li, Can Wang, Shuyi Song, Zhi Yu, Fenqin Zhou, Jiajun Bu
2017	—	`conf`	Active learning for Web accessibility evaluation. W4A Mengni Zhang, Can Wang, Zhi Yu, Chao Shen, Jiajun Bu
2017	J	`jnl`	An optimal sampling method for web accessibility quantitative metric and its online extension. Internet Res. Mengni Zhang, Can Wang, Jiajun Bu, Liangcheng Li, Zhi Yu
2017	—	`conf`	Deep Style Match for Complementary Recommendation. AAAI Workshops Kui Zhao, Xia Hu, Jiajun Bu, Can Wang
2017	J	`jnl`	Deep Style Match for Complementary Recommendation. CoRR Kui Zhao, Xia Hu, Jiajun Bu, Can Wang
2017	J	`jnl`	Effective Blog Pages Extractor for Better UGC Accessing. CoRR Kui Zhao, Yi Wang, Xia Hu, Can Wang
2017	J	`jnl`	Finding map regions with high density of query keywords. Frontiers Inf. Technol. Electron. Eng. Zhi Yu, Can Wang, Jiajun Bu, Xia Hu, Zhe Wang, Jia-he Jin
2017	J	`jnl`	Navigation Objects Extraction for Better Content Structure Understanding. CoRR Kui Zhao, Bangpeng Li, Zilun Peng, Jiajun Bu, Can Wang
2017	B	`conf`	Navigation objects extraction for better content structure understanding. WI Kui Zhao, Bangpeng Li, Zilun Peng, Jiajun Bu, Can Wang
2017	J	`jnl`	Sales Forecast in E-commerce using Convolutional Neural Network. CoRR Kui Zhao, Can Wang
2017	—	`conf`	WAEM: A Web Accessibility Evaluation Metric Based on Partial User Experience Order. W4A Shuyi Song, Can Wang, Liangcheng Li, Zhi Yu, Xiao Lin, Jiajun Bu
2016	J	`jnl`	Dispersion Constraint Based Non-negative Sparse Coding Model. Neural Process. Lett. Xin Wang, Can Wang, Li Shang, Zhan-Li Sun
2016	J	`jnl`	Group sparse feature selection on local learning based clustering. Neurocomputing Yue Wu, Can Wang, Jiajun Bu, Chun Chen
2016	J	`jnl`	Multi-class ℓ2-Boost with the scoring coding. Int. J. Wavelets Multiresolution Inf. Process. Lei Ye, Can Wang, Xin Xu, Wei Chen
2016	A	`conf`	Social Recommendation with Strong and Weak Ties. CIKM Xin Wang, Wei Lu, Martin Ester, Can Wang, Chun Chen
2015	J	`jnl`	A sampling method based on URL clustering for fast web accessibility evaluation. Frontiers Inf. Technol. Electron. Eng. Mengni Zhang, Can Wang, Jiajun Bu, Zhi Yu, Yu Zhou, Chun Chen
2015	—	`conf`	An optimal sampling method for web accessibility quantitative metric. W4A Mengni Zhang, Can Wang, Jiajun Bu, Zhi Yu, Yi Lu, Ruijie Zhang, Chun Chen
2015	J	`jnl`	EMR: A Scalable Graph-Based Ranking Model for Content-Based Image Retrieval. IEEE Trans. Knowl. Data Eng. Bin Xu, Jiajun Bu, Chun Chen, Can Wang, Deng Cai, Xiaofei He
2015	J	`jnl`	Friend recommendation with content spread enhancement in social networks. Inf. Sci. Zhi Yu, Can Wang, Jiajun Bu, Xin Wang, Yue Wu, Chun Chen
2015	—	`conf`	Reduce the Shopping Distance: Map Region Search Based on High Order Voronoi Diagram. ICYCSEE Zhi Yu, Can Wang, Jiajun Bu, Mengni Zhang, Zejun Wu, Chun Chen
2015	J	`jnl`	Unsupervised document summarization from data reconstruction perspective. Neurocomputing Zhanying He, Chun Chen, Jiajun Bu, Can Wang, Lijun Zhang, Deng Cai, Xiaofei He
2013	J	`jnl`	Subspace learning via Locally Constrained A-optimal nonnegative projection. Neurocomputing Ping Li, Jiajun Bu, Chun Chen, Can Wang, Deng Cai
2013	A*	`conf`	Whom to mention: expand the diffusion of tweets by @ recommendation on micro-blogging systems. WWW Beidou Wang, Can Wang, Jiajun Bu, Chun Chen, Wei Vivian Zhang, Deng Cai, Xiaofei He
2012	A*	`conf`	Document Summarization Based on Data Reconstruction. AAAI Zhanying He, Chun Chen, Jiajun Bu, Can Wang, Lijun Zhang, Deng Cai, Xiaofei He
2012	J	`jnl`	Locally discriminative topic modeling. Pattern Recognit. Hao Wu, Jiajun Bu, Chun Chen, Jianke Zhu, Lijun Zhang, Haifeng Liu, Can Wang, Deng Cai
2011	J	`jnl`	Graph Regularized Sparse Coding for Image Representation. IEEE Trans. Image Process. Miao Zheng, Jiajun Bu, Chun Chen, Can Wang, Lijun Zhang, Guang Qiu, Deng Cai
2011	J	`jnl`	Image representation using Laplacian regularized nonnegative tensor factorization. Pattern Recognit. Can Wang, Xiaofei He, Jiajun Bu, Zhengguang Chen, Chun Chen, Ziyu Guan
2011	J	`jnl`	Using rich social media information for music recommendation via hypergraph model. ACM Trans. Multim. Comput. Commun. Appl. Shulong Tan, Jiajun Bu, Chun Chen, Bin Xu, Can Wang, Xiaofei He
2010	J	`jnl`	Constrained Laplacian Eigenmap for dimensionality reduction. Neurocomputing Chun Chen, Lijun Zhang, Jiajun Bu, Can Wang, Wei Chen
2010	A*	`conf`	Document recommendation in social tagging services. WWW Ziyu Guan, Can Wang, Jiajun Bu, Chun Chen, Kun Yang, Deng Cai, Xiaofei He
2010	J	`jnl`	Efficient face recognition using tensor subspace regression. Neurocomputing Ziyu Guan, Can Wang, Zhengguang Chen, Jiajun Bu, Chun Chen
2010	A*	`conf`	G-Optimal Design with Laplacian Regularization. AAAI Chun Chen, Zhengguang Chen, Jiajun Bu, Can Wang, Lijun Zhang, Cheng Zhang
2010	A	`conf`	Learning a user-thread alignment manifold for thread recommendation in online forum. CIKM Jun Zhao, Jiajun Bu, Chun Chen, Ziyu Guan, Can Wang, Cheng Zhang
2010	A*	`conf`	Modeling Dynamic Multi-Topic Discussions in Online Forums. AAAI Hao Wu, Jiajun Bu, Chun Chen, Can Wang, Guang Qiu, Lijun Zhang, Jianfeng Shen
2010	A*	`conf`	Music recommendation by unified hypergraph: combining social media information and music content. ACM Multimedia Jiajun Bu, Shulong Tan, Chun Chen, Can Wang, Hao Wu, Lijun Zhang, Xiaofei He
2010	J	`jnl`	Online detection of bursty events and their evolution in news streams. J. Zhejiang Univ. Sci. C Wei Chen, Chun Chen, Lijun Zhang, Can Wang, Jiajun Bu
2010	—	`conf`	Topic Decomposition and Summarization. PAKDD (1) Wei Chen, Can Wang, Chun Chen, Lijun Zhang, Jiajun Bu
2009	A*	`conf`	Can we learn a template-independent wrapper for news article extraction from a single training site? KDD Junfeng Wang, Chun Chen, Can Wang, Jian Pei, Jiajun Bu, Ziyu Guan, Wei Vivian Zhang
2009	—	`conf`	Fast Motion Estimation With Mini-Block For H.264/AVC. IPCV Na Li, Can Wang, Jiajun Bu, Cheng Zhang, Jing Shen, Huiping Cui, Qinqin Zhang
2009	J	`jnl`	Image retrieval using nonlinear manifold embedding. Neurocomputing Can Wang, Jun Zhao, Xiaofei He, Chun Chen, Jiajun Bu
2009	—	`conf`	Learning to Extract Web News Title in Template Independent Way. RSKT Can Wang, Junfeng Wang, Chun Chen, Li Lin, Ziyu Guan, Junyan Zhu, Cheng Zhang, Jiajun Bu
2009	A*	`conf`	News article extraction with template-independent wrapper. WWW Junfeng Wang, Xiaofei He, Can Wang, Jian Pei, Jiajun Bu, Chun Chen, Ziyu Guan, Gang Lu
2009	A*	`conf`	Personalized tag recommendation using graph-based ranking on multi-type interrelated objects. SIGIR Ziyu Guan, Jiajun Bu, Qiaozhu Mei, Chun Chen, Can Wang
2009	A*	`conf`	Tag-oriented document summarization. WWW Junyan Zhu, Can Wang, Xiaofei He, Jiajun Bu, Chun Chen, Shujie Shang, Mingcheng Qu, Gang Lu
2008	A*	`conf`	Guide focused crawler efficiently and effectively using on-line topical importance estimation. SIGIR Ziyu Guan, Can Wang, Chun Chen, Jiajun Bu, Junfeng Wang
2008	A*	`conf`	Model bloggers' interests based on forgetting mechanism. WWW Yuan Cheng, Guang Qiu, Jiajun Bu, Kangmiao Liu, Ye Han, Can Wang, Chun Chen
2008	—	`conf`	Pervasive Web News Recommendation for Visually Impaired People. Web Intelligence/IAT Workshops Wei Chen, Lijun Zhang, Can Wang, Chun Chen, Jiajun Bu
2007	C	`conf`	Efficient Rejoining for Ubiquitous Collaborative Graphics Editing Systems. CSCWD Bo Jiang, Jiajun Bu, Can Wang, Chun Chen
2006	—	`conf`	EagleRank: A Novel Ranking Model for Web Image Search Engine. PCM Kangmiao Liu, Wei Chen, Chun Chen, Jiajun Bu, Can Wang, Peng Huang
2004	—	`conf`	A biological formal architecture of self-healing system. SMC (6) Can Wang, Yang Li, Jianjun Bu
2004	—	`conf`	Remote invoking algorithms of self-healing system. SMC (4) Yang Li, Can Wang, Yi Zhou, Zhaohui Wu
2004	—	`conf`	Research on concurrent algorithm of component software architecture. SMC (4) Yang Li, Zhaohui Wu, Can Wang