Jie Yin

102 papers A* 24A 6C 2Misc 2Journal 55Unranked 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
Combating confirmation bias: a unified pseudo-labeling framework for entity alignment.
Data Min. Knowl. Discov.
Qijie Ding, Jie Yin, Daokun Zhang, Junbin Gao
2025 J jnl
FS-GNN: Improving Fairness in Graph Neural Networks via Joint Sparsification.
Neurocomputing
Jiaxu Zhao, Tianjin Huang, Shiwei Liu, Jie Yin, Yulong Pei, Meng Fang, Mykola Pechenizkiy
2025 A* conf
Meta-Semantics Augmented Few-Shot Relational Learning.
EMNLP
Han Wu, Jie Yin
2025 J jnl
MoEMeta: Mixture-of-Experts Meta Learning for Few-Shot Relational Learning.
CoRR
Han Wu, Jie Yin
2025 J jnl
Multi-Granular Attention based Heterogeneous Hypergraph Neural Network.
CoRR
Hong Jin, Kaicheng Zhou, Jie Yin, Lan You, Zhifeng Zhou
2025 J jnl
Prompted Meta-Learning for Few-shot Knowledge Graph Completion.
CoRR
Han Wu, Jie Yin
2025 J jnl
Quasi-framelets: robust graph neural networks via adaptive framelet convolution.
Int. J. Mach. Learn. Cybern.
Mengxi Yang, Dai Shi, Xuebin Zheng, Jie Yin, Junbin Gao
2024 — conf
SPZ: A Semantic Perturbation-based Data Augmentation Method with Zonal-Mixing for Alzheimer's Disease Detection.
ACL (1)
Fangfang Li, Cheng Huang, Puzhen Su, Jie Yin
2023 J jnl
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment.
CoRR
Qijie Ding, Jie Yin, Daokun Zhang, Junbin Gao
2023 A* conf
Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion.
ICLR
Han Wu, Jie Yin, Bala Rajaratnam, Jianyuan Guo
2023 J jnl
Informative pseudo-labeling for graph neural networks with few labels.
Data Min. Knowl. Discov.
Yayong Li, Jie Yin, Ling Chen
2023 J jnl
LADDER: Latent boundary-guided adversarial training.
Mach. Learn.
Xiaowei Zhou, Ivor W. Tsang, Jie Yin
2023 J jnl
Link Prediction with Contextualized Self-Supervision.
IEEE Trans. Knowl. Data Eng.
Daokun Zhang, Jie Yin, Philip S. Yu
2022 A* conf
Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment.
ICDM
Qijie Ding, Daokun Zhang, Jie Yin
2022 J jnl
Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment.
CoRR
Qijie Ding, Daokun Zhang, Jie Yin
2022 — conf
Edge but not Least: Cross-View Graph Pooling.
ECML/PKDD (2)
Xiaowei Zhou, Jie Yin, Ivor W. Tsang
2022 J jnl
Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion.
CoRR
Han Wu, Jie Yin, Bala Rajaratnam, Jianyuan Guo
2022 J jnl
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels.
CoRR
Yayong Li, Jie Yin, Ling Chen
2022 J jnl
Latent Boundary-guided Adversarial Training.
CoRR
Xiaowei Zhou, Ivor W. Tsang, Jie Yin
2022 J jnl
Link Prediction with Contextualized Self-Supervision.
CoRR
Daokun Zhang, Jie Yin, Philip S. Yu
2022 J jnl
Quasi-Framelets: Another Improvement to GraphNeural Networks.
CoRR
Mengxi Yang, Xuebin Zheng, Jie Yin, Junbin Gao
2022 A* conf
Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective.
ICLR
Wei Huang, Yayong Li, Weitao Du, Richard Y. D. Xu, Jie Yin, Ling Chen, Miao Zhang
2021 J jnl
Edge but not Least: Cross-View Graph Pooling.
CoRR
Xiaowei Zhou, Jie Yin, Ivor W. Tsang
2021 — conf
Human-Understandable Decision Making for Visual Recognition.
PAKDD (3)
Xiaowei Zhou, Jie Yin, Ivor W. Tsang, Chen Wang
2021 J jnl
Human-Understandable Decision Making for Visual Recognition.
CoRR
Xiaowei Zhou, Jie Yin, Ivor W. Tsang, Chen Wang
2021 J jnl
SEAL: Semisupervised Adversarial Active Learning on Attributed Graphs.
IEEE Trans. Neural Networks Learn. Syst.
Yayong Li, Jie Yin, Ling Chen
2021 J jnl
Search Efficient Binary Network Embedding.
ACM Trans. Knowl. Discov. Data
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2021 — conf
Unified Robust Training for Graph Neural Networks Against Label Noise.
PAKDD (1)
Yayong Li, Jie Yin, Ling Chen
2021 J jnl
Unified Robust Training for Graph NeuralNetworks against Label Noise.
CoRR
Yayong Li, Jie Yin, Ling Chen
2021 J jnl
Wide Graph Neural Networks: Aggregation Provably Leads to Exponentially Trainability Loss.
CoRR
Wei Huang, Yayong Li, Weitao Du, Richard Yi Da Xu, Jie Yin, Ling Chen
2020 J jnl
Network Representation Learning: A Survey.
IEEE Trans. Big Data
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2020 J jnl
SMINT: Toward Interpretable and Robust Model Sharing for Deep Neural Networks.
ACM Trans. Web
Huijun Wu, Chen Wang, Richard Nock, Wei Wang, Jie Yin, Kai Lu, Liming Zhu
2020 J jnl
Sequence Classification Restricted Boltzmann Machines With Gated Units.
IEEE Trans. Neural Networks Learn. Syst.
Son N. Tran, Artur S. d'Avila Garcez, Tillman Weyde, Jie Yin, Qing Zhang, Mohan Karunanithi
2019 J jnl
Attributed Network Embedding via Subspace Discovery.
CoRR
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2019 J jnl
Attributed network embedding via subspace discovery.
Data Min. Knowl. Discov.
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2019 J jnl
Data Subset Selection With Imperfect Multiple Labels.
IEEE Trans. Neural Networks Learn. Syst.
Meng Fang, Tianyi Zhou, Jie Yin, Yang Wang, Dacheng Tao
2019 J jnl
Introduction to the Special Issue on AI for Disaster Management and Resilience.
IEEE Intell. Syst.
Yu-Ru Lin, Carlos Castillo, Jie Yin
2019 J jnl
Latent Adversarial Defence with Boundary-guided Generation.
CoRR
Xiaowei Zhou, Ivor W. Tsang, Jie Yin
2019 J jnl
Search Efficient Binary Network Embedding.
CoRR
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2019 J jnl
Semi-supervised Adversarial Active Learning on Attributed Graphs.
CoRR
Yayong Li, Jie Yin, Ling Chen
2018 — conf
Human Identification via Unsupervised Feature Learning from UWB Radar Data.
PAKDD (1)
Jie Yin, Son N. Tran, Qing Zhang
2018 — conf
MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding.
PAKDD (2)
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2018 J jnl
MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding.
CoRR
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2018 J jnl
Network Representation Learning: A Survey.
CoRR
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2018 J jnl
Predicting adverse drug reactions of combined medication from heterogeneous pharmacologic databases.
BMC Bioinform.
Yi Zheng, Hui Peng, Xiaocai Zhang, Zhixun Zhao, Jie Yin, Jinyan Li
2018 A* conf
SINE: Scalable Incomplete Network Embedding.
ICDM
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2018 J jnl
SINE: Scalable Incomplete Network Embedding.
CoRR
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2018 A* conf
Sharing Deep Neural Network Models with Interpretation.
WWW
Huijun Wu, Chen Wang, Jie Yin, Kai Lu, Liming Zhu
2018 A conf
The 5th International Workshop on Social Web for Disaster Management(SWDM'18): Collective Sensing, Trust, and Resilience in Global Crises.
WSDM
Yu-Ru Lin, Carlos Castillo, Jie Yin
2017 J jnl
A multiple-instance stream learning framework for adaptive document categorization.
Knowl. Based Syst.
Yanshan Xiao, Bo Liu, Jie Yin, Zhifeng Hao
2017 J jnl
Active Multitask Learning With Trace Norm Regularization Based on Excess Risk.
IEEE Trans. Cybern.
Meng Fang, Jie Yin, Lawrence O. Hall, Dacheng Tao
2017 J jnl
Interpreting Shared Deep Learning Models via Explicable Boundary Trees.
CoRR
Huijun Wu, Chen Wang, Jie Yin, Kai Lu, Liming Zhu
2017 J jnl
Push Notifications in Diet Apps: Influencing Engagement Times and Tasks.
Int. J. Hum. Comput. Interact.
Jill Freyne, Jie Yin, Emily Brindal, Gilly Hendrie, Shlomo Berkovsky, Manny Noakes
2017 A* conf
User Profile Preserving Social Network Embedding.
IJCAI
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2016 J jnl
Active exploration for large graphs.
Data Min. Knowl. Discov.
Meng Fang, Jie Yin, Xingquan Zhu
2016 A conf
Collective Classification via Discriminative Matrix Factorization on Sparsely Labeled Networks.
CIKM
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2016 A* conf
Homophily, Structure, and Content Augmented Network Representation Learning.
ICDM
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2016 J jnl
Modeling Mobile Cellular Networks Based on Social Characteristics.
Int. J. Comput. Commun. Control
Ji Ma, Wei Ni, Jie Yin, Ren Ping Liu, Yuyu Yuan, Bin Xing Fang
2016 C conf
Multi-resident Location Tracking in Smart Home through Non-wearable Unobtrusive Sensors.
ICOST
Jie Yin, Meng Fang, Ghassem Mokhtari, Qing Zhang
2016 A* conf
Submodular Asymmetric Feature Selection in Cascade Object Detection.
AAAI
Baosheng Yu, Meng Fang, Dacheng Tao, Jie Yin
2016 J jnl
Supervised sampling for networked data.
Signal Process.
Meng Fang, Jie Yin, Xingquan Zhu
2016 A conf
The Fourth International Workshop on Social Web for Disaster Management (SWDM 2016).
CIKM
Carlos Castillo, Fernando Diaz, Yu-Ru Lin, Jie Yin
2016 A* conf
TrGraph: Cross-network transfer learning via common signature subgraphs.
ICDE
Meng Fang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2015 J jnl
Evaluation Methods for Statistically Dependent Text.
Comput. Linguistics
Sarvnaz Karimi, Jie Yin, Jiri Baum
2015 — conf
Modelling social characteristics of mobile radio networks.
ICC Workshops
Ji Ma, Wei Ni, Jie Yin, Shangjing Lin, Hongyan Cui, Ren Ping Liu, Bin Xing Fang
2015 J jnl
TrGraph: Cross-Network Transfer Learning via Common Signature Subgraphs.
IEEE Trans. Knowl. Data Eng.
Meng Fang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2015 — conf
Unsupervised daily routine and activity discovery in smart homes.
EMBC
Jie Yin, Qing Zhang, Mohan Karunanithi
2015 A* conf
Using Social Media to Enhance Emergency Situation Awareness: Extended Abstract.
IJCAI
Jie Yin, Sarvnaz Karimi, Andrew Lampert, Mark A. Cameron, Bella Robinson, Robert Power
2014 A* conf
Active Learning for Crowdsourcing Using Knowledge Transfer.
AAAI
Meng Fang, Jie Yin, Dacheng Tao
2014 Misc conf
Pinpointing Locational Focus in Microblogs.
ADCS
Jie Yin, Sarvnaz Karimi, John Lingad
2014 J jnl
Transfer Learning across Networks for Collective Classification.
CoRR
Meng Fang, Jie Yin, Xingquan Zhu
2013 A conf
Active Class Discovery and Learning for Networked Data.
SDM
Meng Fang, Jie Yin, Chengqi Zhang, Xingquan Zhu
2013 A conf
Active exploration: simultaneous sampling and labeling for large graphs.
CIKM
Meng Fang, Jie Yin, Xingquan Zhu
2013 Misc conf
Classifying microblogs for disasters.
ADCS
Sarvnaz Karimi, Jie Yin, Cécile Paris
2013 — conf
Knowledge Transfer for Multi-labeler Active Learning.
ECML/PKDD (1)
Meng Fang, Jie Yin, Xingquan Zhu
2013 — conf
Location extraction from disaster-related microblogs.
WWW (Companion Volume)
John Lingad, Sarvnaz Karimi, Jie Yin
2013 A* conf
Transfer Learning across Networks for Collective Classification.
ICDM
Meng Fang, Jie Yin, Xingquan Zhu
2012 A conf
ESA: emergency situation awareness via microbloggers.
CIKM
Jie Yin, Sarvnaz Karimi, Bella Robinson, Mark A. Cameron
2012 — conf
Emergency situation awareness from twitter for crisis management.
WWW (Companion Volume)
Mark A. Cameron, Robert Power, Bella Robinson, Jie Yin
2012 — conf
Searching and Filtering Tweets: CSIRO at the TREC 2012 Microblog Track.
TREC
Sarvnaz Karimi, Jie Yin, Paul Thomas
2012 J jnl
Tracking Mobile Users in Wireless Networks via Semi-Supervised Colocalization.
IEEE Trans. Pattern Anal. Mach. Intell.
Jeffrey Junfeng Pan, Sinno Jialin Pan, Jie Yin, Lionel M. Ni, Qiang Yang
2012 — conf
Unifying Local and Global Agreement and Disagreement Classification in Online Debates.
WASSA@ACL
Jie Yin, Nalin Narang, Paul Thomas, Cécile Paris
2012 J jnl
Using Social Media to Enhance Emergency Situation Awareness.
IEEE Intell. Syst.
Jie Yin, Andrew Lampert, Mark A. Cameron, Bella Robinson, Robert Power
2011 A* conf
Similarity-Based Approach for Positive and Unlabeled Learning.
IJCAI
Yanshan Xiao, Bo Liu, Jie Yin, Longbing Cao, Chengqi Zhang, Zhifeng Hao
2010 A* conf
Exploiting Local Data Uncertainty to Boost Global Outlier Detection.
ICDM
Bo Liu, Jie Yin, Yanshan Xiao, Longbing Cao, Philip S. Yu
2010 A* conf
SMILE: A Similarity-Based Approach for Multiple Instance Learning.
ICDM
Yanshan Xiao, Bo Liu, Longbing Cao, Jie Yin, Xindong Wu
2009 A* conf
Abnormal Activity Recognition Based on HDP-HMM Models.
IJCAI
Derek Hao Hu, Xian-Xing Zhang, Jie Yin, Vincent Wenchen Zheng, Qiang Yang
2009 A* conf
Spatio-Temporal Event Detection Using Dynamic Conditional Random Fields.
IJCAI
Jie Yin, Derek Hao Hu, Qiang Yang
2008 J jnl
Activity recognition via user-trace segmentation.
ACM Trans. Sens. Networks
Jie Yin, Qiang Yang, Dou Shen, Ze-Nian Li
2008 A* conf
Clustering Distributed Time Series in Sensor Networks.
ICDM
Jie Yin, Mohamed Medhat Gaber
2008 J jnl
Learning Adaptive Temporal Radio Maps for Signal-Strength-Based Location Estimation.
IEEE Trans. Mob. Comput.
Jie Yin, Qiang Yang, Lionel M. Ni
2008 J jnl
Sensor-Based Abnormal Human-Activity Detection.
IEEE Trans. Knowl. Data Eng.
Jie Yin, Qiang Yang, Jeffrey Junfeng Pan
2007 J jnl
Extracting Actionable Knowledge from Decision Trees.
IEEE Trans. Knowl. Data Eng.
Qiang Yang, Jie Yin, Charles X. Ling, Rong Pan
2006 J jnl
Power-Efficient Access-Point Selection for Indoor Location Estimation.
IEEE Trans. Knowl. Data Eng.
Yiqiang Chen, Qiang Yang, Jie Yin, Xiaoyong Chai
2006 J jnl
Query enrichment for web-query classification.
ACM Trans. Inf. Syst.
Dou Shen, Rong Pan, Jian-Tao Sun, Jeffrey Junfeng Pan, Kangheng Wu, Jie Yin, Qiang Yang
2005 A* conf
Activity Recognition through Goal-Based Segmentation.
AAAI
Jie Yin, Dou Shen, Qiang Yang, Ze-Nian Li
2005 A* conf
Adaptive Temporal Radio Maps for Indoor Location Estimation.
PerCom
Jie Yin, Qiang Yang, Lionel M. Ni
2005 A* conf
Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering.
ICDM
Jie Yin, Qiang Yang
2005 J jnl
Q
SIGKDD Explor.
Dou Shen, Rong Pan, Jian-Tao Sun, Jeffrey Junfeng Pan, Kangheng Wu, Jie Yin, Qiang Yang
2004 A* conf
High-Level Goal Recognition in a Wireless LAN.
AAAI
Jie Yin, Xiaoyong Chai, Qiang Yang
2004 C conf
LEAPS: A Location Estimation and Action Prediction System in a Wireless LAN Environment.
NPC
Qiang Yang, Yiqiang Chen, Jie Yin, Xiaoyong Chai
2003 A* conf
Postprocessing Decision Trees to Extract Actionable Knowledge.
ICDM
Qiang Yang, Jie Yin, Charles X. Ling, Tielin Chen