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ORCIDJie Yin 0001
Person information
- affiliation: University of Sydney, Business School, Discipline of Business Analytics, Sydney, Australia
- affiliation (2007 - 2017): Commonwealth Scientific and Industrial Research Organisation (CSIRO), ICT Centre, Sydney, Australia
- affiliation (PhD 2006): Hong Kong University of Science and Technology, Hong Kong
Other persons with the same name
- Jie Yin — disambiguation page
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2020 – today
- 2025
[j32]Qijie Ding, Jie Yin
, Daokun Zhang, Junbin Gao:
Combating confirmation bias: a unified pseudo-labeling framework for entity alignment. Data Min. Knowl. Discov. 39(5): 51 (2025)- [j31]Jiaxu Zhao, Tianjin Huang, Shiwei Liu, Jie Yin, Yulong Pei, Meng Fang, Mykola Pechenizkiy:
FS-GNN: Improving Fairness in Graph Neural Networks via Joint Sparsification. Neurocomputing 648: 130641 (2025) - [j30]Mengxi Yang, Dai Shi, Xuebin Zheng, Jie Yin, Junbin Gao:
Quasi-framelets: robust graph neural networks via adaptive framelet convolution. Int. J. Mach. Learn. Cybern. 16(2): 755-770 (2025) - [i22]Hong Jin, Kaicheng Zhou, Jie Yin, Lan You, Zhifeng Zhou:
Multi-Granular Attention based Heterogeneous Hypergraph Neural Network. CoRR abs/2505.04340 (2025) - [i21]Han Wu, Jie Yin:
Prompted Meta-Learning for Few-shot Knowledge Graph Completion. CoRR abs/2505.05684 (2025) - 2024
- [c46]Fangfang Li, Cheng Huang, Puzhen Su, Jie Yin:
SPZ: A Semantic Perturbation-based Data Augmentation Method with Zonal-Mixing for Alzheimer's Disease Detection. ACL (1) 2024: 15429-15439 - 2023
- [j29]Yayong Li, Jie Yin, Ling Chen:
Informative pseudo-labeling for graph neural networks with few labels. Data Min. Knowl. Discov. 37(1): 228-254 (2023) - [j28]Xiaowei Zhou, Ivor W. Tsang, Jie Yin:
LADDER: Latent boundary-guided adversarial training. Mach. Learn. 112(10): 3851-3879 (2023) - [j27]Daokun Zhang, Jie Yin, Philip S. Yu:
Link Prediction with Contextualized Self-Supervision. IEEE Trans. Knowl. Data Eng. 35(7): 7138-7151 (2023) - [c45]Han Wu, Jie Yin, Bala Rajaratnam, Jianyuan Guo:
Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion. ICLR 2023 - [i20]Qijie Ding, Jie Yin, Daokun Zhang, Junbin Gao:
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment. CoRR abs/2307.02075 (2023) - 2022
- [c44]Qijie Ding, Daokun Zhang, Jie Yin:
Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment. ICDM 2022: 915-920 - [c43]Wei Huang, Yayong Li, Weitao Du, Richard Y. D. Xu, Jie Yin, Ling Chen, Miao Zhang:
Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective. ICLR 2022 - [c42]Xiaowei Zhou, Jie Yin, Ivor W. Tsang:
Edge but not Least: Cross-View Graph Pooling. ECML/PKDD (2) 2022: 344-359 - [i19]Mengxi Yang, Xuebin Zheng, Jie Yin, Junbin Gao:
Quasi-Framelets: Another Improvement to GraphNeural Networks. CoRR abs/2201.04728 (2022) - [i18]Yayong Li, Jie Yin, Ling Chen:
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels. CoRR abs/2201.07951 (2022) - [i17]Daokun Zhang, Jie Yin, Philip S. Yu:
Link Prediction with Contextualized Self-Supervision. CoRR abs/2201.10069 (2022) - [i16]Xiaowei Zhou, Ivor W. Tsang, Jie Yin:
Latent Boundary-guided Adversarial Training. CoRR abs/2206.03717 (2022) - [i15]Han Wu, Jie Yin, Bala Rajaratnam, Jianyuan Guo:
Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion. CoRR abs/2209.01205 (2022) - [i14]Qijie Ding, Daokun Zhang, Jie Yin:
Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment. CoRR abs/2209.01847 (2022) - 2021
- [j26]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
Search Efficient Binary Network Embedding. ACM Trans. Knowl. Discov. Data 15(4): 61:1-61:27 (2021) - [j25]Yayong Li, Jie Yin, Ling Chen:
SEAL: Semisupervised Adversarial Active Learning on Attributed Graphs. IEEE Trans. Neural Networks Learn. Syst. 32(7): 3136-3147 (2021) - [c41]Xiaowei Zhou, Jie Yin, Ivor W. Tsang, Chen Wang:
Human-Understandable Decision Making for Visual Recognition. PAKDD (3) 2021: 168-180 - [c40]Yayong Li, Jie Yin, Ling Chen:
Unified Robust Training for Graph Neural Networks Against Label Noise. PAKDD (1) 2021: 528-540 - [i13]Wei Huang, Yayong Li, Weitao Du, Richard Yi Da Xu, Jie Yin, Ling Chen:
Wide Graph Neural Networks: Aggregation Provably Leads to Exponentially Trainability Loss. CoRR abs/2103.03113 (2021) - [i12]Yayong Li, Jie Yin, Ling Chen:
Unified Robust Training for Graph NeuralNetworks against Label Noise. CoRR abs/2103.03414 (2021) - [i11]Xiaowei Zhou, Jie Yin, Ivor W. Tsang, Chen Wang:
Human-Understandable Decision Making for Visual Recognition. CoRR abs/2103.03429 (2021) - [i10]Xiaowei Zhou, Jie Yin, Ivor W. Tsang:
Edge but not Least: Cross-View Graph Pooling. CoRR abs/2109.11796 (2021) - 2020
- [j24]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
Network Representation Learning: A Survey. IEEE Trans. Big Data 6(1): 3-28 (2020) - [j23]Son N. Tran, Artur S. d'Avila Garcez, Tillman Weyde, Jie Yin, Qing Zhang, Mohan Karunanithi:
Sequence Classification Restricted Boltzmann Machines With Gated Units. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4806-4815 (2020) - [j22]Huijun Wu, Chen Wang, Richard Nock, Wei Wang, Jie Yin, Kai Lu, Liming Zhu:
SMINT: Toward Interpretable and Robust Model Sharing for Deep Neural Networks. ACM Trans. Web 14(3): 11:1-11:28 (2020)
2010 – 2019
- 2019
- [j21]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
Attributed network embedding via subspace discovery. Data Min. Knowl. Discov. 33(6): 1953-1980 (2019) - [j20]Yu-Ru Lin, Carlos Castillo, Jie Yin:
Introduction to the Special Issue on AI for Disaster Management and Resilience. IEEE Intell. Syst. 34(3): 3-5 (2019) - [j19]Meng Fang, Tianyi Zhou, Jie Yin, Yang Wang, Dacheng Tao:
Data Subset Selection With Imperfect Multiple Labels. IEEE Trans. Neural Networks Learn. Syst. 30(7): 2212-2221 (2019) - [i9]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
Attributed Network Embedding via Subspace Discovery. CoRR abs/1901.04095 (2019) - [i8]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
Search Efficient Binary Network Embedding. CoRR abs/1901.04097 (2019) - [i7]Xiaowei Zhou, Ivor W. Tsang, Jie Yin:
Latent Adversarial Defence with Boundary-guided Generation. CoRR abs/1907.07001 (2019) - [i6]Yayong Li, Jie Yin, Ling Chen:
Semi-supervised Adversarial Active Learning on Attributed Graphs. CoRR abs/1908.08169 (2019) - 2018
- [j18]Yi Zheng, Hui Peng, Xiaocai Zhang, Zhixun Zhao, Jie Yin, Jinyan Li:
Predicting adverse drug reactions of combined medication from heterogeneous pharmacologic databases. BMC Bioinform. 19-S(19): 49-59 (2018) - [c39]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
SINE: Scalable Incomplete Network Embedding. ICDM 2018: 737-746 - [c38]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding. PAKDD (2) 2018: 196-208 - [c37]Jie Yin, Son N. Tran, Qing Zhang:
Human Identification via Unsupervised Feature Learning from UWB Radar Data. PAKDD (1) 2018: 322-334 - [c36]Yu-Ru Lin, Carlos Castillo, Jie Yin:
The 5th International Workshop on Social Web for Disaster Management(SWDM'18): Collective Sensing, Trust, and Resilience in Global Crises. WSDM 2018: 791-792 - [c35]Huijun Wu, Chen Wang, Jie Yin, Kai Lu, Liming Zhu:
Sharing Deep Neural Network Models with Interpretation. WWW 2018: 177-186 - [i5]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
Network Representation Learning: A Survey. CoRR abs/1801.05852 (2018) - [i4]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding. CoRR abs/1803.02533 (2018) - [i3]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
SINE: Scalable Incomplete Network Embedding. CoRR abs/1810.06768 (2018) - 2017
- [j17]Jill Freyne, Jie Yin, Emily Brindal, Gilly Hendrie, Shlomo Berkovsky, Manny Noakes:
Push Notifications in Diet Apps: Influencing Engagement Times and Tasks. Int. J. Hum. Comput. Interact. 33(10): 833-845 (2017) - [j16]Yanshan Xiao, Bo Liu, Jie Yin, Zhifeng Hao:
A multiple-instance stream learning framework for adaptive document categorization. Knowl. Based Syst. 120: 198-210 (2017) - [j15]Meng Fang, Jie Yin, Lawrence O. Hall, Dacheng Tao:
Active Multitask Learning With Trace Norm Regularization Based on Excess Risk. IEEE Trans. Cybern. 47(11): 3906-3915 (2017) - [c34]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
User Profile Preserving Social Network Embedding. IJCAI 2017: 3378-3384 - [i2]Huijun Wu, Chen Wang, Jie Yin, Kai Lu, Liming Zhu:
Interpreting Shared Deep Learning Models via Explicable Boundary Trees. CoRR abs/1709.03730 (2017) - 2016
- [j14]Meng Fang, Jie Yin, Xingquan Zhu:
Active exploration for large graphs. Data Min. Knowl. Discov. 30(3): 511-549 (2016) - [j13]Ji Ma, Wei Ni, Jie Yin, Ren Ping Liu, Yuyu Yuan, Bin Xing Fang:
Modeling Mobile Cellular Networks Based on Social Characteristics. Int. J. Comput. Commun. Control 11(4): 480-492 (2016) - [j12]Meng Fang, Jie Yin, Xingquan Zhu:
Supervised sampling for networked data. Signal Process. 124: 93-102 (2016) - [c33]Baosheng Yu, Meng Fang, Dacheng Tao, Jie Yin:
Submodular Asymmetric Feature Selection in Cascade Object Detection. AAAI 2016: 1387-1393 - [c32]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
Collective Classification via Discriminative Matrix Factorization on Sparsely Labeled Networks. CIKM 2016: 1563-1572 - [c31]Carlos Castillo, Fernando Diaz, Yu-Ru Lin, Jie Yin:
The Fourth International Workshop on Social Web for Disaster Management (SWDM 2016). CIKM 2016: 2503-2504 - [c30]Meng Fang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
TrGraph: Cross-network transfer learning via common signature subgraphs. ICDE 2016: 1534-1535 - [c29]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
Homophily, Structure, and Content Augmented Network Representation Learning. ICDM 2016: 609-618 - [c28]Jie Yin, Meng Fang, Ghassem Mokhtari, Qing Zhang:
Multi-resident Location Tracking in Smart Home through Non-wearable Unobtrusive Sensors. ICOST 2016: 3-13 - 2015
- [j11]Sarvnaz Karimi, Jie Yin, Jiri Baum:
Evaluation Methods for Statistically Dependent Text. Comput. Linguistics 41(3): 539-548 (2015) - [j10]Meng Fang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
TrGraph: Cross-Network Transfer Learning via Common Signature Subgraphs. IEEE Trans. Knowl. Data Eng. 27(9): 2536-2549 (2015) - [c27]Jie Yin, Qing Zhang, Mohan Karunanithi:
Unsupervised daily routine and activity discovery in smart homes. EMBC 2015: 5497-5500 - [c26]Ji Ma, Wei Ni, Jie Yin, Shangjing Lin, Hongyan Cui, Ren Ping Liu, Bin Xing Fang:
Modelling social characteristics of mobile radio networks. ICC Workshops 2015: 1575-1580 - [c25]Jie Yin, Sarvnaz Karimi, Andrew Lampert, Mark A. Cameron, Bella Robinson, Robert Power:
Using Social Media to Enhance Emergency Situation Awareness: Extended Abstract. IJCAI 2015: 4234-4239 - 2014
- [c24]Meng Fang, Jie Yin, Dacheng Tao:
Active Learning for Crowdsourcing Using Knowledge Transfer. AAAI 2014: 1809-1815 - [c23]Jie Yin, Sarvnaz Karimi, John Lingad:
Pinpointing Locational Focus in Microblogs. ADCS 2014: 66 - [i1]Meng Fang, Jie Yin, Xingquan Zhu:
Transfer Learning across Networks for Collective Classification. CoRR abs/1403.2484 (2014) - 2013
- [c22]Sarvnaz Karimi, Jie Yin, Cécile Paris:
Classifying microblogs for disasters. ADCS 2013: 26-33 - [c21]Meng Fang, Jie Yin, Xingquan Zhu:
Active exploration: simultaneous sampling and labeling for large graphs. CIKM 2013: 829-834 - [c20]Meng Fang, Jie Yin, Xingquan Zhu:
Transfer Learning across Networks for Collective Classification. ICDM 2013: 161-170 - [c19]Meng Fang, Jie Yin, Xingquan Zhu:
Knowledge Transfer for Multi-labeler Active Learning. ECML/PKDD (1) 2013: 273-288 - [c18]Meng Fang, Jie Yin, Chengqi Zhang, Xingquan Zhu:
Active Class Discovery and Learning for Networked Data. SDM 2013: 315-323 - [c17]John Lingad, Sarvnaz Karimi, Jie Yin:
Location extraction from disaster-related microblogs. WWW (Companion Volume) 2013: 1017-1020 - 2012
- [j9]Jie Yin, Andrew Lampert, Mark A. Cameron, Bella Robinson, Robert Power:
Using Social Media to Enhance Emergency Situation Awareness. IEEE Intell. Syst. 27(6): 52-59 (2012) - [j8]Jeffrey Junfeng Pan, Sinno Jialin Pan, Jie Yin, Lionel M. Ni, Qiang Yang:
Tracking Mobile Users in Wireless Networks via Semi-Supervised Colocalization. IEEE Trans. Pattern Anal. Mach. Intell. 34(3): 587-600 (2012) - [c16]Jie Yin, Sarvnaz Karimi, Bella Robinson, Mark A. Cameron:
ESA: emergency situation awareness via microbloggers. CIKM 2012: 2701-2703 - [c15]Sarvnaz Karimi, Jie Yin, Paul Thomas:
Searching and Filtering Tweets: CSIRO at the TREC 2012 Microblog Track. TREC 2012 - [c14]Jie Yin, Nalin Narang, Paul Thomas, Cécile Paris:
Unifying Local and Global Agreement and Disagreement Classification in Online Debates. WASSA@ACL 2012: 61-69 - [c13]Mark A. Cameron, Robert Power, Bella Robinson, Jie Yin:
Emergency situation awareness from twitter for crisis management. WWW (Companion Volume) 2012: 695-698 - 2011
- [c12]Yanshan Xiao, Bo Liu, Jie Yin, Longbing Cao, Chengqi Zhang, Zhifeng Hao:
Similarity-Based Approach for Positive and Unlabeled Learning. IJCAI 2011: 1577-1582 - 2010
- [c11]Bo Liu, Jie Yin, Yanshan Xiao, Longbing Cao, Philip S. Yu:
Exploiting Local Data Uncertainty to Boost Global Outlier Detection. ICDM 2010: 304-313 - [c10]Yanshan Xiao, Bo Liu, Longbing Cao, Jie Yin, Xindong Wu:
SMILE: A Similarity-Based Approach for Multiple Instance Learning. ICDM 2010: 589-598
2000 – 2009
- 2009
- [c9]Jie Yin, Derek Hao Hu, Qiang Yang:
Spatio-Temporal Event Detection Using Dynamic Conditional Random Fields. IJCAI 2009: 1321-1326 - [c8]Derek Hao Hu, Xian-Xing Zhang, Jie Yin, Vincent Wenchen Zheng, Qiang Yang:
Abnormal Activity Recognition Based on HDP-HMM Models. IJCAI 2009: 1715-1720 - 2008
- [j7]Jie Yin, Qiang Yang, Jeffrey Junfeng Pan:
Sensor-Based Abnormal Human-Activity Detection. IEEE Trans. Knowl. Data Eng. 20(8): 1082-1090 (2008) - [j6]Jie Yin, Qiang Yang, Lionel M. Ni:
Learning Adaptive Temporal Radio Maps for Signal-Strength-Based Location Estimation. IEEE Trans. Mob. Comput. 7(7): 869-883 (2008) - [j5]Jie Yin, Qiang Yang, Dou Shen, Ze-Nian Li:
Activity recognition via user-trace segmentation. ACM Trans. Sens. Networks 4(4): 19:1-19:34 (2008) - [c7]Jie Yin, Mohamed Medhat Gaber:
Clustering Distributed Time Series in Sensor Networks. ICDM 2008: 678-687 - 2007
- [j4]Qiang Yang, Jie Yin, Charles X. Ling, Rong Pan:
Extracting Actionable Knowledge from Decision Trees. IEEE Trans. Knowl. Data Eng. 19(1): 43-56 (2007) - 2006
- [j3]Yiqiang Chen, Qiang Yang, Jie Yin, Xiaoyong Chai:
Power-Efficient Access-Point Selection for Indoor Location Estimation. IEEE Trans. Knowl. Data Eng. 18(7): 877-888 (2006) - [j2]Dou Shen, Rong Pan, Jian-Tao Sun, Jeffrey Junfeng Pan, Kangheng Wu, Jie Yin, Qiang Yang:
Query enrichment for web-query classification. ACM Trans. Inf. Syst. 24(3): 320-352 (2006) - 2005
- [j1]Dou Shen, Rong Pan, Jian-Tao Sun, Jeffrey Junfeng Pan, Kangheng Wu, Jie Yin, Qiang Yang:
Q2C@UST: our winning solution to query classification in KDDCUP 2005. SIGKDD Explor. 7(2): 100-110 (2005) - [c6]Jie Yin, Dou Shen, Qiang Yang, Ze-Nian Li:
Activity Recognition through Goal-Based Segmentation. AAAI 2005: 28-34 - [c5]Jie Yin, Qiang Yang:
Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering. ICDM 2005: 506-513 - [c4]Jie Yin, Qiang Yang, Lionel M. Ni:
Adaptive Temporal Radio Maps for Indoor Location Estimation. PerCom 2005: 85-94 - 2004
- [c3]Jie Yin, Xiaoyong Chai, Qiang Yang:
High-Level Goal Recognition in a Wireless LAN. AAAI 2004: 578-584 - [c2]Qiang Yang, Yiqiang Chen, Jie Yin, Xiaoyong Chai:
LEAPS: A Location Estimation and Action Prediction System in a Wireless LAN Environment. NPC 2004: 584-591 - 2003
- [c1]Qiang Yang, Jie Yin, Charles X. Ling, Tielin Chen:
Postprocessing Decision Trees to Extract Actionable Knowledge. ICDM 2003: 685-688
Coauthor Index
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