A biological formal architecture of self-healing system. - Can Wang 001; Yang Li; Jianjun Bu (SMC (6), 2004)

Research on concurrent algorithm of component software architecture. - Yang Li; Zhaohui Wu 001; Can Wang 001 (SMC (4), 2004)

Remote invoking algorithms of self-healing system. - Yang Li; Can Wang 001; Yi Zhou; Zhaohui Wu 001 (SMC (4), 2004)

EagleRank: A Novel Ranking Model for Web Image Search Engine. - Kangmiao Liu; Wei Chen 005; Chun Chen 001; Jiajun Bu; Can Wang 001; Peng Huang (PCM, 2006)

Efficient Rejoining for Ubiquitous Collaborative Graphics Editing Systems. - Bo Jiang 009; Jiajun Bu; Can Wang 001; Chun Chen 001 (CSCWD, 2007)

Pervasive Web News Recommendation for Visually Impaired People. - Wei Chen 005; Lijun Zhang 005; Can Wang 001; Chun Chen 001; Jiajun Bu (Web Intelligence/IAT Workshops, 2008)

Guide focused crawler efficiently and effectively using on-line topical importance estimation. - Ziyu Guan; Can Wang 001; Chun Chen 001; Jiajun Bu; Junfeng Wang (SIGIR, 2008)

Model bloggers' interests based on forgetting mechanism. - Yuan Cheng; Guang Qiu; Jiajun Bu; Kangmiao Liu; Ye Han; Can Wang 001; Chun Chen 001 (WWW, 2008)

Fast Motion Estimation With Mini-Block For H.264/AVC. - Na Li; Can Wang 001; Jiajun Bu; Cheng Zhang; Jing Shen; Huiping Cui; Qinqin Zhang (IPCV, 2009)

Can we learn a template-independent wrapper for news article extraction from a single training site? - Junfeng Wang; Chun Chen 001; Can Wang 001; Jian Pei 001; Jiajun Bu; Ziyu Guan; Wei Vivian Zhang (KDD, 2009)

Learning to Extract Web News Title in Template Independent Way. - Can Wang 001; Junfeng Wang; Chun Chen 001; Li Lin; Ziyu Guan; Junyan Zhu; Cheng Zhang; Jiajun Bu (RSKT, 2009)

Personalized tag recommendation using graph-based ranking on multi-type interrelated objects. - Ziyu Guan; Jiajun Bu; Qiaozhu Mei; Chun Chen 001; Can Wang 001 (SIGIR, 2009)

News article extraction with template-independent wrapper. - Junfeng Wang; Xiaofei He 001; Can Wang 001; Jian Pei 001; Jiajun Bu; Chun Chen 001; Ziyu Guan; Gang Lu (WWW, 2009)

Tag-oriented document summarization. - Junyan Zhu; Can Wang 001; Xiaofei He 001; Jiajun Bu; Chun Chen 001; Shujie Shang; Mingcheng Qu; Gang Lu (WWW, 2009)

Image retrieval using nonlinear manifold embedding. - Can Wang 001; Jun Zhao 009; Xiaofei He 001; Chun Chen 001; Jiajun Bu (Neurocomputing, 2009)

G-Optimal Design with Laplacian Regularization. - Chun Chen 001; Zhengguang Chen; Jiajun Bu; Can Wang 001; Lijun Zhang 005; Cheng Zhang (AAAI, 2010)

Modeling Dynamic Multi-Topic Discussions in Online Forums. - Hao Wu; Jiajun Bu; Chun Chen 001; Can Wang 001; Guang Qiu; Lijun Zhang 005; Jianfeng Shen (AAAI, 2010)

Learning a user-thread alignment manifold for thread recommendation in online forum. - Jun Zhao 009; Jiajun Bu; Chun Chen 001; Ziyu Guan; Can Wang 001; Cheng Zhang (CIKM, 2010)

Music recommendation by unified hypergraph: combining social media information and music content. - Jiajun Bu; Shulong Tan; Chun Chen 001; Can Wang 001; Hao Wu; Lijun Zhang 005; Xiaofei He 001 (ACM Multimedia, 2010)

Topic Decomposition and Summarization. - Wei Chen 005; Can Wang 001; Chun Chen 001; Lijun Zhang 005; Jiajun Bu (PAKDD (1), 2010)

Document recommendation in social tagging services. - Ziyu Guan; Can Wang 001; Jiajun Bu; Chun Chen 001; Kun Yang; Deng Cai 001; Xiaofei He 001 (WWW, 2010)

Constrained Laplacian Eigenmap for dimensionality reduction. - Chun Chen 001; Lijun Zhang 005; Jiajun Bu; Can Wang 001; Wei Chen 005 (Neurocomputing, 2010)

Efficient face recognition using tensor subspace regression. - Ziyu Guan; Can Wang 001; Zhengguang Chen; Jiajun Bu; Chun Chen 001 (Neurocomputing, 2010)

Online detection of bursty events and their evolution in news streams. - Wei Chen 005; Chun Chen 001; Lijun Zhang 005; Can Wang 001; Jiajun Bu (J. Zhejiang Univ. Sci. C, 2010)

Image representation using Laplacian regularized nonnegative tensor factorization. - Can Wang 001; Xiaofei He 001; Jiajun Bu; Zhengguang Chen; Chun Chen 001; Ziyu Guan (Pattern Recognit., 2011)

Graph Regularized Sparse Coding for Image Representation. - Miao Zheng; Jiajun Bu; Chun Chen 001; Can Wang 001; Lijun Zhang 005; Guang Qiu; Deng Cai 001 (IEEE Trans. Image Process., 2011)

Using rich social media information for music recommendation via hypergraph model. - Shulong Tan; Jiajun Bu; Chun Chen 001; Bin Xu 005; Can Wang 001; Xiaofei He 001 (ACM Trans. Multim. Comput. Commun. Appl., 2011)

Document Summarization Based on Data Reconstruction. - Zhanying He; Chun Chen 001; Jiajun Bu; Can Wang 001; Lijun Zhang 005; Deng Cai 001; Xiaofei He 001 (AAAI, 2012)

Locally discriminative topic modeling. - Hao Wu; Jiajun Bu; Chun Chen 001; Jianke Zhu; Lijun Zhang 005; Haifeng Liu 001; Can Wang 001; Deng Cai 001 (Pattern Recognit., 2012)

Whom to mention: expand the diffusion of tweets by @ recommendation on micro-blogging systems. - Beidou Wang; Can Wang 001; Jiajun Bu; Chun Chen 001; Wei Vivian Zhang; Deng Cai 001; Xiaofei He 001 (WWW, 2013)

Subspace learning via Locally Constrained A-optimal nonnegative projection. - Ping Li 006; Jiajun Bu; Chun Chen 001; Can Wang 001; Deng Cai 001 (Neurocomputing, 2013)

Reduce the Shopping Distance: Map Region Search Based on High Order Voronoi Diagram. - Zhi Yu; Can Wang 001; Jiajun Bu; Mengni Zhang; Zejun Wu; Chun Chen 001 (ICYCSEE, 2015)

An optimal sampling method for web accessibility quantitative metric. - Mengni Zhang; Can Wang 001; Jiajun Bu; Zhi Yu; Yi Lu; Ruijie Zhang; Chun Chen 001 (W4A, 2015)

Unsupervised document summarization from data reconstruction perspective. - Zhanying He; Chun Chen 001; Jiajun Bu; Can Wang 001; Lijun Zhang 005; Deng Cai 001; Xiaofei He 001 (Neurocomputing, 2015)

Friend recommendation with content spread enhancement in social networks. - Zhi Yu; Can Wang 001; Jiajun Bu; Xin Wang 019; Yue Wu; Chun Chen 001 (Inf. Sci., 2015)

A sampling method based on URL clustering for fast web accessibility evaluation. - Mengni Zhang; Can Wang 001; Jiajun Bu; Zhi Yu; Yu Zhou; Chun Chen 001 (Frontiers Inf. Technol. Electron. Eng., 2015)

EMR: A Scalable Graph-Based Ranking Model for Content-Based Image Retrieval. - Bin Xu 005; Jiajun Bu; Chun Chen 001; Can Wang 001; Deng Cai 001; Xiaofei He 001 (IEEE Trans. Knowl. Data Eng., 2015)

Social Recommendation with Strong and Weak Ties. - Xin Wang 019; Wei Lu 002; Martin Ester; Can Wang 001; Chun Chen 001 (CIKM, 2016)

Group sparse feature selection on local learning based clustering. - Yue Wu; Can Wang 001; Jiajun Bu; Chun Chen 001 (Neurocomputing, 2016)

Multi-class ℓ2-Boost with the scoring coding. - Lei Ye 010; Can Wang 001; Xin Xu 001; Wei Chen 005 (Int. J. Wavelets Multiresolution Inf. Process., 2016)

Dispersion Constraint Based Non-negative Sparse Coding Model. - Xin Wang 019; Can Wang 001; Li Shang; Zhan-Li Sun (Neural Process. Lett., 2016)

Deep Style Match for Complementary Recommendation. - Kui Zhao; Xia Hu; Jiajun Bu; Can Wang 001 (AAAI Workshops, 2017)

A task assignment strategy for crowdsourcing-based web accessibility evaluation system. - Liangcheng Li; Can Wang 001; Shuyi Song; Zhi Yu; Fenqin Zhou; Jiajun Bu (W4A, 2017)

WAEM: A Web Accessibility Evaluation Metric Based on Partial User Experience Order. - Shuyi Song; Can Wang 001; Liangcheng Li; Zhi Yu; Xiao Lin; Jiajun Bu (W4A, 2017)

Active learning for Web accessibility evaluation. - Mengni Zhang; Can Wang 001; Zhi Yu; Chao Shen; Jiajun Bu (W4A, 2017)

Navigation objects extraction for better content structure understanding. - Kui Zhao; Bangpeng Li; Zilun Peng; Jiajun Bu; Can Wang 001 (WI, 2017)

Effective Blog Pages Extractor for Better UGC Accessing. - Kui Zhao; Yi Wang; Xia Hu; Can Wang 001 (CoRR, 2017)

Sales Forecast in E-commerce using Convolutional Neural Network. - Kui Zhao; Can Wang 001 (CoRR, 2017)

An optimal sampling method for web accessibility quantitative metric and its online extension. - Mengni Zhang; Can Wang 001; Jiajun Bu; Liangcheng Li; Zhi Yu (Internet Res., 2017)

Finding map regions with high density of query keywords. - Zhi Yu; Can Wang 001; Jiajun Bu; Xia Hu; Zhe Wang 001; Jia-he Jin (Frontiers Inf. Technol. Electron. Eng., 2017)

Modeling Users' Exposure with Social Knowledge Influence and Consumption Influence for Recommendation. - Jiawei Chen 007; Yan Feng; Martin Ester; Sheng Zhou 004; Chun Chen 001; Can Wang 001 (CIKM, 2018)

PRRE: Personalized Relation Ranking Embedding for Attributed Networks. - Sheng Zhou 004; Hongxia Yang; Xin Wang 019; Jiajun Bu; Martin Ester; Pinggang Yu; Jianwei Zhang 012; Can Wang 001 (CIKM, 2018)

CrowdAE: A Crowdsourcing System with Human Inspection Quality Enhancement for Web Accessibility Evaluation. - Liangcheng Li; Jiajun Bu; Can Wang 001; Zhi Yu; Wei Wang 470; Yue Wu; Chunbin Gu; Qin Zhou (ICCHP (1), 2018)

Social Recommendation with Missing Not at Random Data. - Jiawei Chen 007; Can Wang 001; Martin Ester; Qihao Shi; Yan Feng; Chun Chen 001 (ICDM, 2018)

ANRL: Attributed Network Representation Learning via Deep Neural Networks. - Zhen Zhang 023; Hongxia Yang; Jiajun Bu; Sheng Zhou 004; Pinggang Yu; Jianwei Zhang 012; Martin Ester; Can Wang 001 (IJCAI, 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 001 (KDD, 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 001 (W4A, 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 001 (Proc. ACM Hum. Comput. Interact., 2018)

Multi-task based Sales Predictions for Online Promotions. - Shen Xin; Martin Ester; Jiajun Bu; Chengwei Yao; Zhao Li 007; Xun Zhou; Yizhou Ye; Can Wang 001 (CIKM, 2019)

Adaptive Influence Blocking: Minimizing the Negative Spread by Observation-Based Policies. - Qihao Shi; Can Wang 001; Deshi Ye; Jiawei Chen 007; Yan Feng; Chun Chen 001 (ICDE, 2019)

SamWalker: Social Recommendation with Informative Sampling Strategy. - Jiawei Chen 007; Can Wang 001; Sheng Zhou 004; Qihao Shi; Yan Feng; Chun Chen 001 (WWW, 2019)

HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding. - Sheng Zhou 004; Jiajun Bu; Xin Wang 019; Jiawei Chen 007; Bingbing Hu; Defang Chen 001; Can Wang 001 (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 001; Yanhao Huang; Yong Tang; Wei Chen 001 (CoRR, 2019)

Hierarchical Graph Pooling with Structure Learning. - Zhen Zhang 023; Jiajun Bu; Martin Ester; Jianfeng Zhang; Chengwei Yao; Zhi Yu; Can Wang 001 (CoRR, 2019)

Social recommendation based on users' attention and preference. - Jiawei Chen 007; Can Wang 001; Qihao Shi; Yan Feng; Chun Chen 001 (Neurocomputing, 2019)

Post and repost: A holistic view of budgeted influence maximization. - Qihao Shi; Can Wang 001; Jiawei Chen 007; Yan Feng; Chun Chen 001 (Neurocomputing, 2019)

Unsupervised feature selection via joint local learning and group sparse regression. - Yue Wu; Can Wang 001; Yue-qing Zhang; Jiajun Bu (Frontiers Inf. Technol. Electron. Eng., 2019)

Location driven influence maximization: Online spread via offline deployment. - Qihao Shi; Can Wang 001; Jiawei Chen 007; Yan Feng; Chun Chen 001 (Knowl. Based Syst., 2019)

Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback. - Jiawei Chen 007; Can Wang 001; Sheng Zhou 004; Qihao Shi; Jingbang Chen; Yan Feng; Chun Chen 001 (AAAI, 2020)

Online Knowledge Distillation with Diverse Peers. - Defang Chen 001; Jian-Ping Mei; Can Wang 001; Yan Feng; Chun Chen 001 (AAAI, 2020)

DGE: Deep Generative Network Embedding Based on Commonality and Individuality. - Sheng Zhou 004; Xin Wang 019; Jiajun Bu; Martin Ester; Pinggang Yu; Jiawei Chen 007; Qihao Shi; Can Wang 001 (AAAI, 2020)

Learning Temporal Interaction Graph Embedding via Coupled Memory Networks. - Zhen Zhang 023; Jiajun Bu; Martin Ester; Jianfeng Zhang; Chengwei Yao; Zhao Li 007; Can Wang 001 (WWW, 2020)

Cross Multi-Type Objects Clustering in Attributed Heterogeneous Information Network. - Sheng Zhou 004; Jiajun Bu; Zhen Zhang 023; Can Wang 001; Lingzhou Ma; Jianfeng Zhang (Knowl. Based Syst., 2020)

Cross-Layer Distillation with Semantic Calibration. - Defang Chen 001; Jian-Ping Mei; Yuan Zhang; Can Wang 001; Zhe Wang 001; Yan Feng; Chun Chen 001 (AAAI, 2021)

Online Adversarial Knowledge Distillation for Image Synthesis of Bridge Defect. - Jiongyu Guo; Can Wang 001; Yan Feng (CSAE, 2021)

Distilling Holistic Knowledge with Graph Neural Networks. - Sheng Zhou 004; Yucheng Wang; Defang Chen 001; Jiawei Chen 007; Xin Wang 019; Can Wang 001; Jiajun Bu (ICCV, 2021)

H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks. - Zhen Zhang 023; Jiajun Bu; Martin Ester; Zhao Li 007; Chengwei Yao; Zhi Yu; Can Wang 001 (KDD, 2021)

Fast convergence for federated learning in OFDMA systems. - Deshi Ye; Songyang Chen; Can Wang 001 (PIMRC, 2021)

Exploring the Connection between Knowledge Distillation and Logits Matching. - Defang Chen 001; Can Wang 001; Yan Feng; Chun Chen 001 (CoRR, 2021)

Online Adversarial Distillation for Graph Neural Networks. - Can Wang 001; Zhe Wang 001; Defang Chen 001; Sheng Zhou 004; Yan Feng; Chun Chen 001 (CoRR, 2021)

Efficient influence spread management via budget allocation at community scale. - Can Wang 001; Yangguang Zhang; Qihao Shi; Yan Feng; Chun Chen 001 (Expert Syst. Appl., 2021)

Efficient diversified influence maximization with adaptive policies. - Can Wang 001; Qihao Shi; Weizhao Xian; Yan Feng; Chun Chen 001 (Knowl. Based Syst., 2021)

TigeCMN: On exploration of temporal interaction graph embedding via Coupled Memory Neural Networks. - Zhen Zhang 023; Jiajun Bu; Zhao Li 007; Chengwei Yao; Can Wang 001; Jia Wu 001 (Neural Networks, 2021)

Profit maximization for competitive social advertising. - Qihao Shi; Can Wang 001; Deshi Ye; Jiawei Chen 007; Sheng Zhou 004; Yan Feng; Chun Chen 001; Yanhao Huang (Theor. Comput. Sci., 2021)

CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation. - Jiawei Chen 007; Chengquan Jiang; Can Wang 001; Sheng Zhou 004; Yan Feng; Chun Chen 001; Martin Ester; Xiangnan He 001 (ACM Trans. Inf. Syst., 2021)

Knowledge Distillation with the Reused Teacher Classifier. - Defang Chen 001; Jian-Ping Mei; Hailin Zhang 005; Can Wang 001; Yan Feng; Chun Chen 001 (CVPR, 2022)

Source-Free Unsupervised Domain Adaptation in Imbalanced Datasets. - Wujie Sun; Qi Chen; Can Wang 001; Deshi Ye; Chun Chen 001 (DSIT, 2022)

Adaptive Seed Minimization for Diversified Influence Maximization. - Yangguang Zhang; Qi Chen; Ji Shen; Qihao Shi; Can Wang 001 (DSIT, 2022)

Confidence-Aware Multi-Teacher Knowledge Distillation. - Hailin Zhang 005; Defang Chen 001; Can Wang 001 (ICASSP, 2022)

Alignahead: Online Cross-Layer Knowledge Extraction on Graph Neural Networks. - Jiongyu Guo; Defang Chen 001; Can Wang 001 (IJCNN, 2022)

Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding. - Can Wang 001; Sheng Zhou 004; Kang Yu; Defang Chen 001; Bolang Li; Yan Feng; Chun Chen 001 (WWW, 2022)

Deeply-Supervised Knowledge Distillation. - Shiya Luo; Defang Chen 001; Can Wang 001 (CoRR, 2022)

Improving Knowledge Graph Embedding via Iterative Self-Semantic Knowledge Distillation. - Zhehui Zhou; Defang Chen 001; Can Wang 001; Yan Feng; Chun Chen 001 (CoRR, 2022)

Interpreting the vulnerability of power systems in cascading failures using multi-graph convolutional networks. - Supaporn Lonapalawong; Changsheng Chen; Can Wang 001; Wei Chen 001 (Frontiers Inf. Technol. Electron. Eng., 2022)

Reducing power grid cascading failure propagation by minimizing algebraic connectivity in edge addition. - Supaporn Lonapalawong; Jiangzhe Yan; Jiayu Li; Deshi Ye; Wei Chen 001; Yong Tang; Yanhao Huang; Can Wang 001 (Frontiers Inf. Technol. Electron. Eng., 2022)

JointE: Jointly utilizing 1D and 2D convolution for knowledge graph embedding. - Zhehui Zhou; Can Wang 001; Yan Feng; Defang Chen 001 (Knowl. Based Syst., 2022)

Direction-Aware User Recommendation Based on Asymmetric Network Embedding. - Sheng Zhou 004; Xin Wang 019; Martin Ester; Bolang Li; Chen Ye; Zhen Zhang 023; Can Wang 001; Jiajun Bu (ACM Trans. Inf. Syst., 2022)

Robust Sequence Networked Submodular Maximization. - Qihao Shi; Bingyang Fu; Can Wang 001; Jiawei Chen 007; Sheng Zhou 004; Yan Feng; Chun Chen 001 (AAAI, 2023)

CDR: Conservative Doubly Robust Learning for Debiased Recommendation. - Zijie Song; Jiawei Chen 007; Sheng Zhou 004; Qihao Shi; Yan Feng; Chun Chen 001; Can Wang 001 (CIKM, 2023)

Customizing Synthetic Data for Data-Free Student Learning. - Shiya Luo; Defang Chen 001; Can Wang 001 (ICME, 2023)

Holistic Weighted Distillation for Semantic Segmentation. - Wujie Sun; Defang Chen 001; Can Wang 001; Deshi Ye; Yan Feng; Chun Chen 001 (ICME, 2023)

Accelerating Diffusion Sampling with Classifier-based Feature Distillation. - Wujie Sun; Defang Chen 001; Can Wang 001; Deshi Ye; Yan Feng; Chun Chen 001 (ICME, 2023)

Adaptive Multi-Teacher Knowledge Distillation with Meta-Learning. - Hailin Zhang 005; Defang Chen 001; Can Wang 001 (ICME, 2023)

Knowledge Distillation with Deep Supervision. - Shiya Luo; Defang Chen 001; Can Wang 001 (IJCNN, 2023)

OpenGSL: A Comprehensive Benchmark for Graph Structure Learning. - Zhiyao Zhou; Sheng Zhou 004; Bochao Mao; Xuanyi Zhou; Jiawei Chen 007; Qiaoyu Tan; Daochen Zha; Yan Feng; Chun Chen 001; Can Wang 001 (NeurIPS, 2023)

A Geometric Perspective on Diffusion Models. - Defang Chen 001; Zhenyu Zhou; Jian-Ping Mei; Chunhua Shen; Chun Chen 001; Can Wang 001 (CoRR, 2023)

SamWalker++: Recommendation With Informative Sampling Strategy. - Can Wang 001; Jiawei Chen 007; Sheng Zhou 004; Qihao Shi; Yan Feng; Chun Chen 001 (IEEE Trans. Knowl. Data Eng., 2023)

Hierarchical Multi-View Graph Pooling With Structure Learning. - Zhen Zhang 023; Jiajun Bu; Martin Ester; Jianfeng Zhang; Zhao Li 007; Chengwei Yao; Huifen Dai; Zhi Yu; Can Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Adversarial gradient-based meta learning with metric-based test. - Yangguang Zhang; Can Wang 001; Qihao Shi; Yan Feng; Chun Chen 001 (Knowl. Based Syst., 2023)

SemCKD: Semantic Calibration for Cross-Layer Knowledge Distillation. - Can Wang 001; Defang Chen 001; Jian-Ping Mei; Yuan Zhang; Yan Feng; Chun Chen 001 (IEEE Trans. Knowl. Data Eng., 2023)

Online cross-layer knowledge distillation on graph neural networks with deep supervision. - Jiongyu Guo; Defang Chen 001; Can Wang 001 (Neural Comput. Appl., 2023)

Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding. - Yichen Liu 005; Jiawei Chen 007; Defang Chen 001; Zhehui Zhou; Yan Feng; Can Wang 001 (CIKM, 2024)

Fast ODE-based Sampling for Diffusion Models in Around 5 Steps. - Zhenyu Zhou; Defang Chen 001; Can Wang 001; Chun Chen 001 (CVPR, 2024)

On the Trajectory Regularity of ODE-based Diffusion Sampling. - Defang Chen 001; Zhenyu Zhou; Can Wang 001; Chunhua Shen; Siwei Lyu (ICML, 2024)

PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation. - Weiqin Yang 002; Jiawei Chen 007; Xin Xin 003; Sheng Zhou 004; Binbin Hu; Yan Feng; Chun Chen 001; Can Wang 001 (NeurIPS, 2024)

Simple and Fast Distillation of Diffusion Models. - Zhenyu Zhou; Defang Chen 001; Can Wang 001; Chun Chen 001; Siwei Lyu (NeurIPS, 2024)

SIGformer: Sign-aware Graph Transformer for Recommendation. - Sirui Chen; Jiawei Chen 007; Sheng Zhou 004; Bohao Wang; Shen Han; Chanfei Su; Yuqing Yuan; Can Wang 001 (SIGIR, 2024)

Distributionally Robust Graph-based Recommendation System. - Bohao Wang; Jiawei Chen 007; Changdong Li; Sheng Zhou 004; Qihao Shi; Yang Gao 001; Yan Feng; Chun Chen 001; Can Wang 001 (WWW, 2024)

Knowledge Translation: A New Pathway for Model Compression. - Wujie Sun; Defang Chen 001; Jiawei Chen 007; Yan Feng; Chun Chen 001; Can Wang 001 (CoRR, 2024)

How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective. - Siyi Lin; Chongming Gao; Jiawei Chen 007; Sheng Zhou 004; Binbin Hu; Can Wang 001 (CoRR, 2024)

Motif-driven Subgraph Structure Learning for Graph Classification. - Zhiyao Zhou; Sheng Zhou 004; Bochao Mao; Jiawei Chen 007; Qingyun Sun; Yan Feng; Chun Chen 001; Can Wang 001 (CoRR, 2024)

Knowledge Distillation with Refined Logits. - Wujie Sun; Defang Chen 001; Siwei Lyu; Genlang Chen; Chun Chen 001; Can Wang 001 (CoRR, 2024)

LLM4DSR: Leveraing Large Language Model for Denoising Sequential Recommendation. - Bohao Wang; Feng Liu 047; Jiawei Chen 007; Yudi Wu; Xingyu Lou; Jun Wang 020; Yan Feng; Chun Chen 001; Can Wang 001 (CoRR, 2024)

Towards Dynamic Graph Neural Networks with Provably High-Order Expressive Power. - Zhe Wang 001; Tianjian Zhao; Zhen Zhang 023; Jiawei Chen 007; Sheng Zhou 004; Yan Feng; Chun Chen 001; Can Wang 001 (CoRR, 2024)

Robust misinformation prevention with uncertainty on suspicious nodes. - Qihao Shi; Wujian Yang; Can Wang 001; Mingli Song (Neurocomputing, 2024)

Online adversarial knowledge distillation for graph neural networks. - Can Wang 001; Zhe Wang 001; Defang Chen 001; Sheng Zhou 004; Yan Feng; Chun Chen 001 (Expert Syst. Appl., 2024)

Complementary influence maximization under comparative linear threshold model. - Wujian Yang; Qihao Shi; Jiangzhe Yan; Can Wang 001; Mingli Song; Minghui Wu 001 (Expert Syst. Appl., 2024)

Multi-exit self-distillation with appropriate teachers. - Wujie Sun; Defang Chen 001; Can Wang 001; Deshi Ye; Yan Feng; Chun Chen 001 (Frontiers Inf. Technol. Electron. Eng., 2024)

ReCRec: Reasoning the Causes of Implicit Feedback for Debiased Recommendation. - Siyi Lin; Sheng Zhou 004; Jiawei Chen 007; Yan Feng; Qihao Shi; Chun Chen 001; Ying Li; Can Wang 001 (ACM Trans. Inf. Syst., 2024)

Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution. - Shengjia Zhang; Jiawei Chen 007; Changdong Li; Sheng Zhou 004; Qihao Shi; Yan Feng; Chun Chen 001; Can Wang 001 (AAAI, 2025)

DICE: Data Influence Cascade in Decentralized Learning. - Tongtian Zhu; Wenhao Li; Can Wang 001; Fengxiang He (ICLR, 2025)

MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender. - Bohao Wang; Feng Liu 047; Jiawei Chen 007; Xingyu Lou; Changwang Zhang; Jun Wang 020; Yuegang Sun; Yan Feng; Chun Chen 001; Can Wang 001 (SIGIR, 2025)

How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective. - Siyi Lin; Chongming Gao; Jiawei Chen 007; Sheng Zhou 004; Binbin Hu; Yan Feng; Chun Chen 001; Can Wang 001 (WSDM, 2025)

Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding. - Zhe Wang 001; Sheng Zhou 004; Jiawei Chen 007; Zhen Zhang 023; Binbin Hu; Yan Feng; Chun Chen 001; Can Wang 001 (WSDM, 2025)

Rankformer: A Graph Transformer for Recommendation based on Ranking Objective. - Sirui Chen; Shen Han; Jiawei Chen 007; Binbin Hu; Sheng Zhou 004; Gang Wang 055; Yan Feng; Chun Chen 001; Can Wang 001 (WWW, 2025)

Uncertainty-Aware Graph Structure Learning. - Shen Han; Zhiyao Zhou; Jiawei Chen 007; Zhezheng Hao; Sheng Zhou 004; Gang Wang 055; Yan Feng; Chun Chen 001; Can Wang 001 (WWW, 2025)

Lie Symmetry Net: Preserving Conservation Laws in Modelling Financial Market Dynamics via Differential Equations. - Xuelian Jiang; Tongtian Zhu; Yingxiang Xu; Can Wang 001; Yeyu Zhang; Fengxiang He (Trans. Mach. Learn. Res., 2025)

Conditional Image Synthesis with Diffusion Models: A Survey. - Zheyuan Zhan; Defang Chen 001; Jian-Ping Mei; Zhenghe Zhao; Jiawei Chen 007; Chun Chen 001; Siwei Lyu; Can Wang 001 (Trans. Mach. Learn. Res., 2025)

DICE: Distilling Classifier-Free Guidance into Text Embeddings. - Zhenyu Zhou; Defang Chen 001; Can Wang 001; Chun Chen 001; Siwei Lyu (CoRR, 2025)

Recent Advances on Generalizable Diffusion-generated Image Detection. - Qijie Xu; Defang Chen 001; Jiawei Chen 007; Siwei Lyu; Can Wang 001 (CoRR, 2025)

OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation. - Shengjia Zhang; Junjie Wu; Jiawei Chen 007; Changwang Zhang; Xingyu Lou; Wangchunshu Zhou; Sheng Zhou 004; Can Wang 001; Jun Wang 020 (CoRR, 2025)

Geometric Regularity in Deterministic Sampling of Diffusion-based Generative Models. - Defang Chen 001; Zhenyu Zhou; Can Wang 001; Siwei Lyu (CoRR, 2025)

Breaking the Top-K Barrier: Advancing Top-K Ranking Metrics Optimization in Recommender Systems. - Weiqin Yang 002; Jiawei Chen 007; Shengjia Zhang; Peng Wu; Yuegang Sun; Yan Feng; Chun Chen 001; Can Wang 001 (CoRR, 2025)