Xiangnan Kong

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2010–2024

Best venue rank

Where they publish

Papers

82 indexed papers, newest first.

Year	Venue	Title	Authors
2024	AAAI	Amalgamating Multi-Task Models with Heterogeneous Architectures.	Jidapa Thadajarassiri, Walter Gerych, Xiangnan Kong, Elke A. Rundensteiner
2023	AAAI	Knowledge Amalgamation for Multi-Label Classification via Label Dependency Transfer.	Jidapa Thadajarassiri, Thomas Hartvigsen, Walter Gerych, Xiangnan Kong, Elke A. Rundensteiner
2023	KDD	One-shot Joint Extraction, Registration and Segmentation of Neuroimaging Data.	Yao Su, Zhentian Qian, Lei Ma, Lifang He, Xiangnan Kong
2022	CIKM	Stop&Hop: Early Classification of Irregular Time Series.	Thomas Hartvigsen, Walter Gerych, Jidapa Thadajarassiri, Xiangnan Kong, Elke A. Rundensteiner
2022	ICDM	STrans-GAN: Spatially-Transferable Generative Adversarial Networks for Urban Traffic Estimation.	Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo
2022	ICDM	ABN: Anti-Blur Neural Networks for Multi-Stage Deformable Image Registration.	Yao Su, Xin Dai, Lifang He, Xiangnan Kong
2022	KDD	ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging Data.	Yao Su, Zhentian Qian, Lifang He, Xiangnan Kong
2021	AAAI	Semi-Supervised Knowledge Amalgamation for Sequence Classification.	Jidapa Thadajarassiri, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner
2021	CIKM	FiShNet: Fine-Grained Filter Sharing for Resource-Efficient Multi-Task Learning.	Xin Dai, Xiangnan Kong, Tian Guo, Xinlu He
2021	ICDM	Self-learn to Explain Siamese Networks Robustly.	Chao Chen, Yifan Shen, Guixiang Ma, Xiangnan Kong, Srinivas Rangarajan, Xi Zhang, Sihong Xie
2021	KDD	Energy-Efficient Models for High-Dimensional Spike Train Classification using Sparse Spiking Neural Networks.	Hang Yin, John Boaz Lee, Xiangnan Kong, Thomas Hartvigsen, Sihong Xie
2021	SDM	CiNet: Redesigning Deep Neural Networks for Efficient Mobile-Cloud Collaborative Inference.	Xin Dai, Xiangnan Kong, Tian Guo, Yixian Huang
2020	ACL	Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words?	Cansu Sen, Thomas Hartvigsen, Biao Yin, Xiangnan Kong, Elke A. Rundensteiner
2020	APWEB	Multi-task Attributed Graphical Lasso.	Yao Zhang, Yun Xiong, Xiangnan Kong, Xinyue Liu, Yangyong Zhu
2020	CIKM	EPNet: Learning to Exit with Flexible Multi-Branch Network.	Xin Dai, Xiangnan Kong, Tian Guo
2020	CIKM	Learning to Selectively Update State Neurons in Recurrent Networks.	Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner
2020	DASFAA	Code2Text: Dual Attention Syntax Annotation Networks for Structure-Aware Code Translation.	Yun Xiong, Shaofeng Xu, Keyao Rong, Xinyue Liu, Xiangnan Kong, Shanshan Li, Philip S. Yu, Yangyong Zhu
2020	EMNLP	A Dual-Attention Network for Joint Named Entity Recognition and Sentence Classification of Adverse Drug Events.	Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Xiangnan Kong, Elke A. Rundensteiner
2020	KDD	Recurrent Networks for Guided Multi-Attention Classification.	Xin Dai, Xiangnan Kong, Tian Guo, John Boaz Lee, Xinyue Liu, Constance M. Moore
2020	KDD	Recurrent Halting Chain for Early Multi-label Classification.	Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner
2020	KDD	Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks.	Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo
2020	SDM	Dual-Attention Recurrent Networks for Affine Registration of Neuroimaging Data.	Xin Dai, Xiangnan Kong, Xinyue Liu, John Boaz Lee, Constance M. Moore
2020	SDM	Deep Parametric Model for Discovering Group-cohesive Functional Brain Regions.	John Boaz Lee, Xiangnan Kong, Constance M. Moore, Nesreen K. Ahmed
2019	CIKM	Graph Convolutional Networks with Motif-based Attention.	John Boaz Lee, Ryan A. Rossi, Xiangnan Kong, Sungchul Kim, Eunyee Koh, Anup Rao
2019	CIKM	Author Set Identification via Quasi-Clique Discovery.	Yuyan Zheng, Chuan Shi, Xiangnan Kong, Yanfang Ye
2019	DASFAA	Net2Text: An Edge Labelling Language Model for Personalized Review Generation.	Shaofeng Xu, Yun Xiong, Xiangnan Kong, Yangyong Zhu
2019	ICDM	TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial Networks.	Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo
2019	KDD	Adaptive-Halting Policy Network for Early Classification.	Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner
2019	WWW	Signed Distance-based Deep Memory Recommender.	Thanh Tran, Xinyue Liu, Kyumin Lee, Xiangnan Kong
2019	SDM	AMAS: Attention Model for Attributed Sequence Classification.	Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner
2018	ACML	Clustering Uncertain Graphs with Node Attributes.	Yafang Li, Xiangnan Kong, Caiyan Jia, Jianqiang Li
2018	AMIA	Deep Learning Strategies for Automatic Detection of Medication and Adverse Drug Events from Electronic Health Records.	Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Elke A. Rundensteiner, Xiangnan Kong
2018	DASFAA	Tracking Dynamic Magnet Communities: Insights from a Network Perspective.	Chang Liao, Yun Xiong, Xiangnan Kong, Yangyong Zhu
2018	DASFAA	Functional-Oriented Relationship Strength Estimation: From Online Events to Offline Interactions.	Chang Liao, Yun Xiong, Xiangnan Kong, Yangyong Zhu, Shimin Zhao, Shanshan Li
2018	ICDE	Sharing Uncertain Graphs Using Syntactic Private Graph Models.	Dongqing Xiao, Mohamed Y. Eltabakh, Xiangnan Kong
2018	ICDM	TreeGAN: Syntax-Aware Sequence Generation with Generative Adversarial Networks.	Xinyue Liu, Xiangnan Kong, Lei Liu, Kuorong Chiang
2018	ICDM	Coherent Graphical Lasso for Brain Network Discovery.	Hang Yin, Xiangnan Kong, Xinyue Liu
2018	KDD	Graph Classification using Structural Attention.	John Boaz Lee, Ryan A. Rossi, Xiangnan Kong
2018	KDD	Active Opinion Maximization in Social Networks.	Xinyue Liu, Xiangnan Kong, Philip S. Yu
2018	WWW	Deep Collective Classification in Heterogeneous Information Networks.	Yizhou Zhang, Yun Xiong, Xiangnan Kong, Shanshan Li, Jinhong Mi, Yangyong Zhu
2017	CIKM	Learning Node Embeddings in Interaction Graphs.	Yao Zhang, Yun Xiong, Xiangnan Kong, Yangyong Zhu
2017	ICDM	BiCycle: Item Recommendation with Life Cycles.	Xinyue Liu, Yuanfang Song, Charu C. Aggarwal, Yao Zhang, Xiangnan Kong
2017	ICDM	Kernel-Based Feature Extraction for Collaborative Filtering.	Saket Sathe, Charu C. Aggarwal, Xiangnan Kong, Xinyue Liu
2017	IJCNN	Collective discovery of brain networks with unknown groups.	Xinyue Liu, Xiangnan Kong, Philip S. Yu
2017	SDM	Identifying Deep Contrasting Networks from Time Series Data: Application to Brain Network Analysis.	John Boaz Lee, Xiangnan Kong, Yihan Bao, Constance M. Moore
2017	SDM	Unified and Contrasting Graphical Lasso for Brain Network Discovery.	Xinyue Liu, Xiangnan Kong, Ann B. Ragin
2017	SDM	Meta-Path Graphical Lasso for Learning Heterogeneous Connectivities.	Yao Zhang, Yun Xiong, Xinyue Liu, Xiangnan Kong, Yangyong Zhu
2016	CIKM	Collective Traffic Prediction with Partially Observed Traffic History using Location-Based Social Media.	Xinyue Liu, Xiangnan Kong, Yanhua Li
2016	KDD	NetCycle: Collective Evolution Inference in Heterogeneous Information Networks.	Yizhou Zhang, Yun Xiong, Xiangnan Kong, Yangyong Zhu
2016	SDM	Kernelized Matrix Factorization for Collaborative Filtering.	Xinyue Liu, Charu C. Aggarwal, Yufeng Li, Xiangnan Kong, Xinyuan Sun, Saket Sathe
2016	SSDBM	Bermuda: An Efficient MapReduce Triangle Listing Algorithm for Web-Scale Graphs.	Dongqing Xiao, Mohamed Y. Eltabakh, Xiangnan Kong
2015	ICDM	Mining Brain Networks Using Multiple Side Views for Neurological Disorder Identification.	Bokai Cao, Xiangnan Kong, Jingyuan Zhang, Philip S. Yu, Ann B. Ragin
2015	IRI	PNA: Partial Network Alignment with Generic Stable Matching.	Jiawei Zhang, Weixiang Shao, Senzhang Wang, Xiangnan Kong, Philip S. Yu
2014	CIKM	NCR: A Scalable Network-Based Approach to Co-Ranking in Question-and-Answer Sites.	Jingyuan Zhang, Xiangnan Kong, Roger Jie Luo, Yi Chang, Philip S. Yu
2014	ICDM	Tensor-Based Multi-view Feature Selection with Applications to Brain Diseases.	Bokai Cao, Lifang He, Xiangnan Kong, Philip S. Yu, Zhifeng Hao, Ann B. Ragin
2014	ICDM	Collective Prediction of Multiple Types of Links in Heterogeneous Information Networks.	Bokai Cao, Xiangnan Kong, Philip S. Yu
2014	ICDM	Low-Density Cut Based Tree Decomposition for Large-Scale SVM Problems.	Lifang He, Hong-Han Shuai, Xiangnan Kong, Zhifeng Hao, Xiaowei Yang, Philip S. Yu
2014	ICDM	Discovering Organizational Correlations from Twitter.	Jingyuan Zhang, Xiaoxiao Shi, Xiangnan Kong, Hong-Han Shuai, Philip S. Yu
2014	MMM	Visual Recognition by Exploiting Latent Social Links in Image Collections.	Li-Jia Li, Xiangnan Kong, Philip S. Yu
2014	WSDM	Inferring the impacts of social media on crowdfunding.	Chun-Ta Lu, Sihong Xie, Xiangnan Kong, Philip S. Yu
2014	WSDM	Transferring heterogeneous links across location-based social networks.	Jiawei Zhang, Xiangnan Kong, Philip S. Yu
2014	SDM	DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages.	Lifang He, Xiangnan Kong, Philip S. Yu, Xiaowei Yang, Ann B. Ragin, Zhifeng Hao
2014	SDM	Large-Scale Multi-Label Learning with Incomplete Label Assignments.	Xiangnan Kong, Zhaoming Wu, Li-Jia Li, Ruofei Zhang, Philip S. Yu, Hang Wu, Wei Fan
2014	SDM	When and Where: Predicting Human Movements Based on Social Spatial-Temporal Events.	Ning Yang, Xiangnan Kong, Fengjiao Wang, Philip S. Yu
2013	CIKM	Inferring anchor links across multiple heterogeneous social networks.	Xiangnan Kong, Jiawei Zhang, Philip S. Yu
2013	CIKM	Predicting trends in social networks via dynamic activeness model.	Shuyang Lin, Xiangnan Kong, Philip S. Yu
2013	ICDM	Privacy Preserving Social Network Publication against Mutual Friend Attacks.	Chong-Jing Sun, Philip S. Yu, Xiangnan Kong, Yan Fu
2013	ICDM	Multilabel Consensus Classification.	Sihong Xie, Xiangnan Kong, Jing Gao, Wei Fan, Philip S. Yu
2013	ICDM	Predicting Social Links for New Users across Aligned Heterogeneous Social Networks.	Jiawei Zhang, Xiangnan Kong, Philip S. Yu
2013	KDD	Multi-label classification by mining label and instance correlations from heterogeneous information networks.	Xiangnan Kong, Bokai Cao, Philip S. Yu
2013	SDM	Discriminative Feature Selection for Uncertain Graph Classification.	Xiangnan Kong, Ann B. Ragin, Xue Wang, Philip S. Yu
2012	CIKM	Meta path-based collective classification in heterogeneous information networks.	Xiangnan Kong, Philip S. Yu, Ying Ding, David J. Wild
2012	EDBT	Relevance search in heterogeneous networks.	Chuan Shi, Xiangnan Kong, Philip S. Yu, Sihong Xie, Bin Wu
2012	KDD	HeteRecom: a semantic-based recommendation systemin heterogeneous networks.	Chuan Shi, Chong Zhou, Xiangnan Kong, Philip S. Yu, Gang Liu, Bai Wang
2012	WWW	Community detection in incomplete information networks.	Wangqun Lin, Xiangnan Kong, Philip S. Yu, Quanyuan Wu, Yan Jia, Chuan Li
2012	SDM	Transfer Significant Subgraphs across Graph Databases.	Xiaoxiao Shi, Xiangnan Kong, Philip S. Yu
2012	SDM	Multi-Objective Multi-Label Classification.	Chuan Shi, Xiangnan Kong, Philip S. Yu, Bai Wang
2011	ICDM	Positive and Unlabeled Learning for Graph Classification.	Yuchen Zhao, Xiangnan Kong, Philip S. Yu
2011	KDD	Dual active feature and sample selection for graph classification.	Xiangnan Kong, Wei Fan, Philip S. Yu
2011	SDM	Multi-Label Collective Classification.	Xiangnan Kong, Xiaoxiao Shi, Philip S. Yu
2010	ICDM	Multi-label Feature Selection for Graph Classification.	Xiangnan Kong, Philip S. Yu
2010	KDD	Semi-supervised feature selection for graph classification.	Xiangnan Kong, Philip S. Yu