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Guodong Long

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

129

Venues

27

Active years

2011–2026

Best venue rank

A*

Where they publish

Papers

129 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIFedMerge: Federated Model Merging for Personalization.Shutong Chen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2026AAAIFederated Vision-Language-Recommendation with Personalized Fusion.Zhiwei Li, Guodong Long, Jing Jiang, Chengqi Zhang, Qiang Yang
2026AAAIBi-level Personalization for Federated Foundation Models: A Task-vector Aggregation Approach.Yiyuan Yang, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang
2026WWWFL@FM-TheWebConf'26: The 3rd International Workshop on Federated Foundation Models for the Web.Irwin King, Guodong Long, Zenglin Xu, Han Yu, Xiaoli Tang, Liping Yi
2026WWWLearning Evolving Preferences: A Federated Continual Framework for User-Centric Recommendation.Chunxu Zhang, Zhiheng Xue, Guodong Long, Weipeng Zhang, Bo Yang
2026WWWMultimodal-enhanced Federated Recommendation: A Group-wise Fusion Approach.Chunxu Zhang, Weipeng Zhang, Guodong Long, Zhiheng Xue, Riting Xia, Bo Yang
2025AAAIFederated Foundation Models on Heterogeneous Time Series.Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang
2025AAAIPersonalized Federated Collaborative Filtering: A Variational AutoEncoder Approach.Zhiwei Li, Guodong Long, Tianyi Zhou, Jing Jiang, Chengqi Zhang
2025AAAIMultifaceted User Modeling in Recommendation: A Federated Foundation Models Approach.Chunxu Zhang, Guodong Long, Hongkuan Guo, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang
2025ADMAcFedLoRA: Clustered Aggregation for Federated LoRA.Qi Cheng, Peng Yan, Guodong Long
2025CVPRDPC: Dual-Prompt Collaboration for Tuning Vision-Language Models.Haoyang Li, Liang Wang, Chao Wang, Jing Jiang, Yan Peng, Guodong Long
2025IJCAIDistilling A Universal Expert from Clustered Federated Learning.Zeqi Leng, Chunxu Zhang, Guodong Long, Riting Xia, Bo Yang
2025IJCAIFederated Low-Rank Adaptation for Foundation Models: A Survey.Yiyuan Yang, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang, Chengqi Zhang
2025IJCNNMIPO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning.Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Chengqi Zhang, Allison Clarke, Clement Schlegel
2025KDDA Survey on Deep Learning based Time Series Analysis with Frequency Transformation.Kun Yi, Qi Zhang, Wei Fan, Longbing Cao, Shoujin Wang, Hui He, Guodong Long, Liang Hu, Qingsong Wen, Hui Xiong
2025WWWAI for Women's Health: Framework and Focus Areas.Jie Lu, Angela Dawson, Kairui Guo, Deborah Fox, Fahimeh Ramezani, Susan Morton, Kathleen Baird, Zelia Soo, Kezhi Lu, Guodong Long, Debra Anderson
2025WWWBeyond Dataset Watermarking: Model-Level Copyright Protection for Code Summarization Models.Jiale Zhang, Haoxuan Li, Di Wu, Xiaobing Sun, Qinghua Lu, Guodong Long
2025WWWeBaaS: AIoT-Enabled eBike Battery-Swap as a Service for Last-Mile Delivery.Donghui Ding, Zhao Li, Jiarun Zhang, Xuanwu Liu, Ji Zhang, Yuchen Li, Peng Cai, JianXun Liu, Guodong Long
2025WWWFL@FM-TheWebConf'25: International Workshop on Federated Foundation Models for the Web 2025.Irwin King, Guodong Long, Zenglin Xu, Yifei Zhang, Han Yu
2025WWWMedShort: Medicine Shortage Detection on Social Media with Privacy Preservation.Xueping Peng, Peng Yan, Tao Shen, Ming Xie, Guodong Long
2025WWWFederated Intelligence in Web: A Tutorial.Peng Yan, Shengchao Chen, Guodong Long
2024AAAIFine-Grained Distillation for Long Document Retrieval.Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Jianbing Shen, Guodong Long, Can Xu, Daxin Jiang
2024ACLRetrieval-Augmented Retrieval: Large Language Models are Strong Zero-Shot Retriever.Tao Shen, Guodong Long, Xiubo Geng, Chongyang Tao, Yibin Lei, Tianyi Zhou, Michael Blumenstein, Daxin Jiang
2024ACLSynergistic Interplay between Search and Large Language Models for Information Retrieval.Jiazhan Feng, Chongyang Tao, Xiubo Geng, Tao Shen, Can Xu, Guodong Long, Dongyan Zhao, Daxin Jiang
2024COLINGPre-training Cross-Modal Retrieval by Expansive Lexicon-Patch Alignment.Yiyuan Yang, Guodong Long, Michael Blumenstein, Xiubo Geng, Chongyang Tao, Tao Shen, Daxin Jiang
2024EACLCCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification.Yang Li, Canran Xu, Guodong Long, Tao Shen, Chongyang Tao, Jing Jiang
2024EMNLPRe-Reading Improves Reasoning in Large Language Models.Xiaohan Xu, Chongyang Tao, Tao Shen, Can Xu, Hongbo Xu, Guodong Long, Jian-Guang Lou, Shuai Ma
2024EMNLPExtractive Medical Entity Disambiguation with Memory Mechanism and Memorized Entity Information.Guobiao Zhang, Xueping Peng, Tao Shen, Guodong Long, Jiasheng Si, Libo Qin, Wenpeng Lu
2024ICLRFederated Recommendation with Additive Personalization.Zhiwei Li, Guodong Long, Tianyi Zhou
2024IJCAIFederated Prompt Learning for Weather Foundation Models on Devices.Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang
2024IJCAIWhat Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning.Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang
2024IJCAIThe Rise of Federated Intelligence: From Federated Foundation Models Toward Collective Intelligence.Guodong Long
2024IJCAIFederated Adaptation for Foundation Model-based Recommendations.Chunxu Zhang, Guodong Long, Hongkuan Guo, Xiao Fang, Yang Song, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang
2024IJCAIBADFSS: Backdoor Attacks on Federated Self-Supervised Learning.Jiale Zhang, Chengcheng Zhu, Di Wu, Xiaobing Sun, Jianming Yong, Guodong Long
2024KDDGPFedRec: Graph-Guided Personalization for Federated Recommendation.Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang
2024WWWFL@FM-TheWebConf'24: International Workshop on Federated Foundation Models for the Web.Irwin King, Guodong Long, Zenglin Xu, Han Yu
2024WWWWhen Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions.Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang
2023AAAIFederated Learning on Non-IID Graphs via Structural Knowledge Sharing.Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang
2023ACLImproving the Robustness of Summarization Systems with Dual Augmentation.Xiuying Chen, Guodong Long, Chongyang Tao, Mingzhe Li, Xin Gao, Chengqi Zhang, Xiangliang Zhang
2023ACLTowards Robust Ranker for Text Retrieval.Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Binxing Jiao, Daxin Jiang
2023ADMAMulti-level Transformer for Cancer Outcome Prediction in Large-Scale Claims Data.Leah Gerrard, Xueping Peng, Allison Clarke, Guodong Long
2023ADMASoft Prompt Transfer for Zero-Shot and Few-Shot Learning in EHR Understanding.Yang Wang, Xueping Peng, Tao Shen, Allison Clarke, Clement Schlegel, Paul Martin, Guodong Long
2023ADMAImproving Open-Domain Answer Sentence Selection by Distributed Clients with Privacy Preservation.Weikuan Wang, Tao Shen, Michael Blumenstein, Guodong Long
2023ADMAFrom Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations.Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu
2023EACLStyle-Aware Contrastive Learning for Multi-Style Image Captioning.Yucheng Zhou, Guodong Long
2023EACLMultimodal Event Transformer for Image-guided Story Ending Generation.Yucheng Zhou, Guodong Long
2023EACLImproving Cross-modal Alignment for Text-Guided Image Inpainting.Yucheng Zhou, Guodong Long
2023ICMLContinual Task Allocation in Meta-Policy Network via Sparse Prompting.Yijun Yang, Tianyi Zhou, Jing Jiang, Guodong Long, Yuhui Shi
2023ICMLDoes Continual Learning Equally Forget All Parameters?Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2023IJCAIPrompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data.Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang
2023IJCAIDual Personalization on Federated Recommendation.Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang
2023KDDUnifieR: A Unified Retriever for Large-Scale Retrieval.Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Kai Zhang, Daxin Jiang
2022AAAIFedProto: Federated Prototype Learning across Heterogeneous Clients.Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Qinghua Lu, Jing Jiang, Chengqi Zhang
2022ACLClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification.Yucheng Zhou, Tao Shen, Xiubo Geng, Guodong Long, Daxin Jiang
2022ADMAPersonalized Federated Learning with Robust Clustering Against Model Poisoning.Jie Ma, Ming Xie, Guodong Long
2022ADMAPositive Unlabeled Learning by Sample Selection and Prototype Refinement.Zhuowei Wang, Guodong Long
2022APWEBRobust Clustered Federated Learning with Bootstrap Median-of-Means.Ming Xie, Jie Ma, Guodong Long, Chengqi Zhang
2022ICASSPAttentional Gated Res2net for Multivariate Time Series Classification.Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu
2022ICIPPositive Unlabeled Learning by Semi-Supervised Learning.Zhuowei Wang, Jing Jiang, Guodong Long
2022ICLROmni-Scale CNNs: a simple and effective kernel size configuration for time series classification.Wensi Tang, Guodong Long, Lu Liu, Tianyi Zhou, Michael Blumenstein, Jing Jiang
2022ICMLEAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning.Shuang Ao, Tianyi Zhou, Jing Jiang, Guodong Long, Xuan Song, Chengqi Zhang
2022ICONIPAdaptive Graph Recurrent Network for Multivariate Time Series Imputation.Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu
2022IJCAIPersonalized Federated Learning With a Graph.Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang
2022NAACLUnderstand before Answer: Improve Temporal Reading Comprehension via Precise Question Understanding.Hao Huang, Xiubo Geng, Guodong Long, Daxin Jiang
2022NAACLHierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision.Yang Li, Guodong Long, Tao Shen, Jing Jiang
2022WWWEventBERT: A Pre-Trained Model for Event Correlation Reasoning.Yucheng Zhou, Xiubo Geng, Tao Shen, Guodong Long, Daxin Jiang
2021AAAITask Aligned Generative Meta-learning for Zero-shot Learning.Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long
2021ACLReasoning over Entity-Action-Location Graph for Procedural Text Understanding.Hao Huang, Xiubo Geng, Jian Pei, Guodong Long, Daxin Jiang
2021EMNLPEliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction.Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang
2021ICDMSequential Diagnosis Prediction with Transformer and Ontological Representation.Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang
2021ICLRA Universal Representation Transformer Layer for Few-Shot Image Classification.Lu Liu, William L. Hamilton, Guodong Long, Jing Jiang, Hugo Larochelle
2021ICLRIsometric Propagation Network for Generalized Zero-shot Learning.Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang
2021ICONIPHierarchical Features Integration and Attention Iteration Network for Juvenile Refractive Power Prediction.Yang Zhang, Risa Higashita, Guodong Long, Rong Li, Daisuke Santo, Jiang Liu
2021MICCAIJuvenile Refractive Power Prediction Based on Corneal Curvature and Axial Length via a Domain Knowledge Embedding Network.Yang Zhang, Risa Higashita, Yanwu Xu, Daisuke Santo, Yan Hu, Guodong Long, Jiang Liu
2021WWWStructure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion.Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Ying Wang, Yi Chang
2020AAAIGoing Deep: Graph Convolutional Ladder-Shape Networks.Ruiqi Hu, Shirui Pan, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang
2020AAAISelf-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction.Yang Li, Guodong Long, Tao Shen, Tianyi Zhou, Lina Yao, Huan Huo, Jing Jiang
2020AAAIAttribute Propagation Network for Graph Zero-Shot Learning.Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2020AAAIOne-Shot Learning for Long-Tail Visual Relation Detection.Weitao Wang, Meng Wang, Sen Wang, Guodong Long, Lina Yao, Guilin Qi, Yang Chen
2020COLINGRatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion.Hao Huang, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang
2020COLINGImproving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention.Yang Li, Tao Shen, Guodong Long, Jing Jiang, Tianyi Zhou, Chengqi Zhang
2020EMNLPExploiting Structured Knowledge in Text via Graph-Guided Representation Learning.Tao Shen, Yi Mao, Pengcheng He, Guodong Long, Adam Trischler, Weizhu Chen
2020ICDMBiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes.Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Chengqi Zhang
2020ICDMCross-Graph: Robust and Unsupervised Embedding for Attributed Graphs with Corrupted Structure.Chun Wang, Bo Han, Shirui Pan, Jing Jiang, Gang Niu, Guodong Long
2020IJCAIEffective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering.Tao Shen, Xiubo Geng, Guodong Long, Jing Jiang, Chengqi Zhang, Daxin Jiang
2020IJCNNInterpretable Time-series Classification on Few-shot Samples.Wensi Tang, Lu Liu, Guodong Long
2020KDDConnecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks.Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang
2019AAAIDistributionally Robust Semi-Supervised Learning for People-Centric Sensing.Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang
2019AusDMInteractive Deep Metric Learning for Healthcare Cohort Discovery.Yang Wang, Guodong Long, Xueping Peng, Allison Clarke, Robin Stevenson, Leah Gerrard
2019DASFAADetecting Suicidal Ideation with Data Protection in Online Communities.Shaoxiong Ji, Guodong Long, Shirui Pan, Tianqing Zhu, Jing Jiang, Sen Wang
2019EMNLPMulti-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base.Tao Shen, Xiubo Geng, Tao Qin, Daya Guo, Duyu Tang, Nan Duan, Guodong Long, Daxin Jiang
2019ICDMTemporal Self-Attention Network for Medical Concept Embedding.Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Michael Blumenstein
2019ICDMCollective Protection: Preventing Sensitive Inferences via Integrative Transformation.Dalin Zhang, Lina Yao, Kaixuan Chen, Guodong Long, Sen Wang
2019IJCAIPrototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph.Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang
2019IJCAIAttributed Graph Clustering: A Deep Attentional Embedding Approach.Chun Wang, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Chengqi Zhang
2019IJCAIGraph WaveNet for Deep Spatial-Temporal Graph Modeling.Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang
2019IJCNNDAGCN: Dual Attention Graph Convolutional Networks.Fengwen Chen, Shirui Pan, Jing Jiang, Huan Huo, Guodong Long
2019IJCNNLearning Private Neural Language Modeling with Attentive Aggregation.Shaoxiong Ji, Shirui Pan, Guodong Long, Xue Li, Jing Jiang, Zi Huang
2019IJCNNAttentive Dual Embedding for Understanding Medical Concepts in Electronic Health Records.Xueping Peng, Guodong Long, Shirui Pan, Jing Jiang, Zhendong Niu
2019IJCNNAdversarial Action Data Augmentation for Similar Gesture Action Recognition.Di Wu, Junjun Chen, Nabin Sharma, Shirui Pan, Guodong Long, Michael Blumenstein
2019NAACLTensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together.Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2018AAAITrace Ratio Optimization With Feature Correlation Mining for Multiclass Discriminant Analysis.Forough Rezaei Boroujeni, Sen Wang, Zhihui Li, Nicholas West, Bela Stantic, Lina Yao, Guodong Long
2018AAAIDiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding.Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, Chengqi Zhang
2018ICDMDynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit.Weitong Chen, Sen Wang, Guodong Long, Lina Yao, Quan Z. Sheng, Xue Li
2018ICLRBi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling.Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2018IJCAIAdversarially Regularized Graph Autoencoder for Graph Embedding.Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang
2018IJCAIReinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling.Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Sen Wang, Chengqi Zhang
2018IJCAIMulti-modality Sensor Data Classification with Selective Attention.Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang
2018IJCAINeuRec: On Nonlinear Transformation for Personalized Ranking.Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long, Manqing Dong
2018IJCNNCross-Domain Deep Learning Approach For Multiple Financial Market Prediction.Xinxin Jiang, Shirui Pan, Jing Jiang, Guodong Long
2018IJCNNCost-sensitive Hybrid Neural Networks for Heterogeneous and Imbalanced Data.Xinxin Jiang, Shirui Pan, Guodong Long, Jiang Chang, Jing Jiang, Chengqi Zhang
2017CIKMGraph Ladder Networks for Network Classification.Ruiqi Hu, Shirui Pan, Jing Jiang, Guodong Long
2017CIKMMGAE: Marginalized Graph Autoencoder for Graph Clustering.Chun Wang, Shirui Pan, Guodong Long, Xingquan Zhu, Jing Jiang
2017IJCNNUniversal network representation for heterogeneous information networks.Ruiqi Hu, Celina Ping Yu, Sai-Fu Fung, Shirui Pan, Haishuai Wang, Guodong Long
2016AAAIDynamic Concept Composition for Zero-Example Event Detection.Xiaojun Chang, Yi Yang, Guodong Long, Chengqi Zhang, Alexander G. Hauptmann
2016AAAIRobust Semi-Supervised Learning through Label Aggregation.Yan Yan, Zhongwen Xu, Ivor W. Tsang, Guodong Long, Yi Yang
2016CIKMGlobal and Local Influence-based Social Recommendation.Qinzhe Zhang, Jia Wu, Hong Yang, Weixue Lu, Guodong Long, Chengqi Zhang
2016ICDMInferring Latent Network from Cascade Data for Dynamic Social Recommendation.Qin Zhang, Jia Wu, Peng Zhang, Guodong Long, Ivor W. Tsang, Chengqi Zhang
2016IJCNNEvolutionary lazy learning for Naive Bayes classification.Yu Bai, Haishuai Wang, Jia Wu, Yun Zhang, Jing Jiang, Guodong Long
2016IJCNNCo-clustering enterprise social networks.Ruiqi Hu, Shirui Pan, Guodong Long, Xingquan Zhu, Jing Jiang, Chengqi Zhang
2016PAKDDExploring Heterogeneous Product Networks for Discovering Collective Marketing Hyping Behavior.Qinzhe Zhang, Qin Zhang, Guodong Long, Peng Zhang, Chengqi Zhang
2015AAAICoupled Collaborative Filtering for Context-aware Recommendation.Xinxin Jiang, Wei Liu, Longbing Cao, Guodong Long
2015ADCSocialTrail: Recommending Social Trajectories from Location-Based Social Networks.Qinzhe Zhang, Litao Yu, Guodong Long
2015DASFAAInvariant Event Tracking on Social Networks.Sayan Unankard, Xue Li, Guodong Long
2015ICDMTowards Mining Trapezoidal Data Streams.Qin Zhang, Peng Zhang, Guodong Long, Wei Ding, Chengqi Zhang, Xindong Wu
2013ADMAGraph Based Feature Augmentation for Short and Sparse Text Classification.Guodong Long, Jing Jiang
2013CCGRIDOptimal Cloud Resource Auto-Scaling for Web Applications.Jing Jiang, Jie Lu, Guangquan Zhang, Guodong Long
2012CIKMTCSST: transfer classification of short & sparse text using external data.Guodong Long, Ling Chen, Xingquan Zhu, Chengqi Zhang
2011SERVICESScaling-Up Item-Based Collaborative Filtering Recommendation Algorithm Based on Hadoop.Jing Jiang, Jie Lu, Guangquan Zhang, Guodong Long