Postprocessing Decision Trees to Extract Actionable Knowledge. - Qiang Yang 001; Jie Yin 001; Charles X. Ling; Tielin Chen (ICDM, 2003)

High-Level Goal Recognition in a Wireless LAN. - Jie Yin 001; Xiaoyong Chai; Qiang Yang 001 (AAAI, 2004)

LEAPS: A Location Estimation and Action Prediction System in a Wireless LAN Environment. - Qiang Yang 001; Yiqiang Chen 001; Jie Yin 001; Xiaoyong Chai (NPC, 2004)

Activity Recognition through Goal-Based Segmentation. - Jie Yin 001; Dou Shen; Qiang Yang 001; Ze-Nian Li (AAAI, 2005)

Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering. - Jie Yin 001; Qiang Yang 001 (ICDM, 2005)

Adaptive Temporal Radio Maps for Indoor Location Estimation. - Jie Yin 001; Qiang Yang 001; Lionel M. Ni (PerCom, 2005)

Q2C@UST: our winning solution to query classification in KDDCUP 2005. - Dou Shen; Rong Pan; Jian-Tao Sun; Jeffrey Junfeng Pan; Kangheng Wu; Jie Yin 001; Qiang Yang 001 (SIGKDD Explor., 2005)

Power-Efficient Access-Point Selection for Indoor Location Estimation. - Yiqiang Chen 001; Qiang Yang 001; Jie Yin 001; Xiaoyong Chai (IEEE Trans. Knowl. Data Eng., 2006)

Query enrichment for web-query classification. - Dou Shen; Rong Pan; Jian-Tao Sun; Jeffrey Junfeng Pan; Kangheng Wu; Jie Yin 001; Qiang Yang 001 (ACM Trans. Inf. Syst., 2006)

Extracting Actionable Knowledge from Decision Trees. - Qiang Yang 001; Jie Yin 001; Charles X. Ling; Rong Pan (IEEE Trans. Knowl. Data Eng., 2007)

Clustering Distributed Time Series in Sensor Networks. - Jie Yin 001; Mohamed Medhat Gaber (ICDM, 2008)

Sensor-Based Abnormal Human-Activity Detection. - Jie Yin 001; Qiang Yang 001; Jeffrey Junfeng Pan (IEEE Trans. Knowl. Data Eng., 2008)

Learning Adaptive Temporal Radio Maps for Signal-Strength-Based Location Estimation. - Jie Yin 001; Qiang Yang 001; Lionel M. Ni (IEEE Trans. Mob. Comput., 2008)

Activity recognition via user-trace segmentation. - Jie Yin 001; Qiang Yang 001; Dou Shen; Ze-Nian Li (ACM Trans. Sens. Networks, 2008)

Abnormal Activity Recognition Based on HDP-HMM Models. - Derek Hao Hu; Xian-Xing Zhang; Jie Yin 001; Vincent Wenchen Zheng; Qiang Yang 001 (IJCAI, 2009)

Spatio-Temporal Event Detection Using Dynamic Conditional Random Fields. - Jie Yin 001; Derek Hao Hu; Qiang Yang 001 (IJCAI, 2009)

Exploiting Local Data Uncertainty to Boost Global Outlier Detection. - Bo Liu 002; Jie Yin 001; Yanshan Xiao; Longbing Cao; Philip S. Yu (ICDM, 2010)

SMILE: A Similarity-Based Approach for Multiple Instance Learning. - Yanshan Xiao; Bo Liu 002; Longbing Cao; Jie Yin 001; Xindong Wu 001 (ICDM, 2010)

Similarity-Based Approach for Positive and Unlabeled Learning. - Yanshan Xiao; Bo Liu 002; Jie Yin 001; Longbing Cao; Chengqi Zhang; Zhifeng Hao (IJCAI, 2011)

ESA: emergency situation awareness via microbloggers. - Jie Yin 001; Sarvnaz Karimi; Bella Robinson; Mark A. Cameron (CIKM, 2012)

Searching and Filtering Tweets: CSIRO at the TREC 2012 Microblog Track. - Sarvnaz Karimi; Jie Yin 001; Paul Thomas 001 (TREC, 2012)

Unifying Local and Global Agreement and Disagreement Classification in Online Debates. - Jie Yin 001; Nalin Narang; Paul Thomas 001; Cécile Paris (WASSA@ACL, 2012)

Emergency situation awareness from twitter for crisis management. - Mark A. Cameron; Robert Power; Bella Robinson; Jie Yin 001 (WWW (Companion Volume), 2012)

Using Social Media to Enhance Emergency Situation Awareness. - Jie Yin 001; Andrew Lampert; Mark A. Cameron; Bella Robinson; Robert Power (IEEE Intell. Syst., 2012)

Tracking Mobile Users in Wireless Networks via Semi-Supervised Colocalization. - Jeffrey Junfeng Pan; Sinno Jialin Pan; Jie Yin 001; Lionel M. Ni; Qiang Yang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Classifying microblogs for disasters. - Sarvnaz Karimi; Jie Yin 001; Cécile Paris (ADCS, 2013)

Active exploration: simultaneous sampling and labeling for large graphs. - Meng Fang; Jie Yin 001; Xingquan Zhu 001 (CIKM, 2013)

Transfer Learning across Networks for Collective Classification. - Meng Fang; Jie Yin 001; Xingquan Zhu 001 (ICDM, 2013)

Knowledge Transfer for Multi-labeler Active Learning. - Meng Fang; Jie Yin 001; Xingquan Zhu 001 (ECML/PKDD (1), 2013)

Active Class Discovery and Learning for Networked Data. - Meng Fang; Jie Yin 001; Chengqi Zhang; Xingquan Zhu 001 (SDM, 2013)

Location extraction from disaster-related microblogs. - John Lingad; Sarvnaz Karimi; Jie Yin 001 (WWW (Companion Volume), 2013)

Active Learning for Crowdsourcing Using Knowledge Transfer. - Meng Fang; Jie Yin 001; Dacheng Tao (AAAI, 2014)

Pinpointing Locational Focus in Microblogs. - Jie Yin 001; Sarvnaz Karimi; John Lingad (ADCS, 2014)

Unsupervised daily routine and activity discovery in smart homes. - Jie Yin 001; Qing Zhang 001; Mohan Karunanithi (EMBC, 2015)

Modelling social characteristics of mobile radio networks. - Ji Ma; Wei Ni 001; Jie Yin 001; Shangjing Lin; Hongyan Cui; Ren Ping Liu; Bin Xing Fang (ICC Workshops, 2015)

Using Social Media to Enhance Emergency Situation Awareness: Extended Abstract. - Jie Yin 001; Sarvnaz Karimi; Andrew Lampert; Mark A. Cameron; Bella Robinson; Robert Power (IJCAI, 2015)

Evaluation Methods for Statistically Dependent Text. - Sarvnaz Karimi; Jie Yin 001; Jiri Baum (Comput. Linguistics, 2015)

TrGraph: Cross-Network Transfer Learning via Common Signature Subgraphs. - Meng Fang; Jie Yin 001; Xingquan Zhu 001; Chengqi Zhang (IEEE Trans. Knowl. Data Eng., 2015)

Submodular Asymmetric Feature Selection in Cascade Object Detection. - Baosheng Yu; Meng Fang; Dacheng Tao; Jie Yin 001 (AAAI, 2016)

The Fourth International Workshop on Social Web for Disaster Management (SWDM 2016). - Carlos Castillo 001; Fernando Diaz 001; Yu-Ru Lin; Jie Yin 001 (CIKM, 2016)

Collective Classification via Discriminative Matrix Factorization on Sparsely Labeled Networks. - Daokun Zhang; Jie Yin 001; Xingquan Zhu 001; Chengqi Zhang (CIKM, 2016)

Homophily, Structure, and Content Augmented Network Representation Learning. - Daokun Zhang; Jie Yin 001; Xingquan Zhu 001; Chengqi Zhang (ICDM, 2016)

Multi-resident Location Tracking in Smart Home through Non-wearable Unobtrusive Sensors. - Jie Yin 001; Meng Fang; Ghassem Mokhtari; Qing Zhang 001 (ICOST, 2016)

Active exploration for large graphs. - Meng Fang; Jie Yin 001; Xingquan Zhu 001 (Data Min. Knowl. Discov., 2016)

Modeling Mobile Cellular Networks Based on Social Characteristics. - Ji Ma; Wei Ni 001; Jie Yin 001; Ren Ping Liu; Yuyu Yuan; Bin Xing Fang (Int. J. Comput. Commun. Control, 2016)

Supervised sampling for networked data. - Meng Fang; Jie Yin 001; Xingquan Zhu 001 (Signal Process., 2016)

User Profile Preserving Social Network Embedding. - Daokun Zhang; Jie Yin 001; Xingquan Zhu 001; Chengqi Zhang (IJCAI, 2017)

Interpreting Shared Deep Learning Models via Explicable Boundary Trees. - Huijun Wu 001; Chen Wang 008; Jie Yin 001; Kai Lu 001; Liming Zhu 001 (CoRR, 2017)

Push Notifications in Diet Apps: Influencing Engagement Times and Tasks. - Jill Freyne; Jie Yin 001; Emily Brindal; Gilly Hendrie; Shlomo Berkovsky; Manny Noakes (Int. J. Hum. Comput. Interact., 2017)

A multiple-instance stream learning framework for adaptive document categorization. - Yanshan Xiao; Bo Liu 002; Jie Yin 001; Zhifeng Hao (Knowl. Based Syst., 2017)

Active Multitask Learning With Trace Norm Regularization Based on Excess Risk. - Meng Fang; Jie Yin 001; Lawrence O. Hall; Dacheng Tao (IEEE Trans. Cybern., 2017)

SINE: Scalable Incomplete Network Embedding. - Daokun Zhang; Jie Yin 001; Xingquan Zhu 001; Chengqi Zhang (ICDM, 2018)

Human Identification via Unsupervised Feature Learning from UWB Radar Data. - Jie Yin 001; Son N. Tran; Qing Zhang 001 (PAKDD (1), 2018)

MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding. - Daokun Zhang; Jie Yin 001; Xingquan Zhu 001; Chengqi Zhang (PAKDD (2), 2018)

The 5th International Workshop on Social Web for Disaster Management(SWDM'18): Collective Sensing, Trust, and Resilience in Global Crises. - Yu-Ru Lin; Carlos Castillo 001; Jie Yin 001 (WSDM, 2018)

Sharing Deep Neural Network Models with Interpretation. - Huijun Wu 001; Chen Wang 008; Jie Yin 001; Kai Lu 001; Liming Zhu 001 (WWW, 2018)

Predicting adverse drug reactions of combined medication from heterogeneous pharmacologic databases. - Yi Zheng 002; Hui Peng; Xiaocai Zhang; Zhixun Zhao; Jie Yin 001; Jinyan Li 001 (BMC Bioinform., 2018)

Latent Adversarial Defence with Boundary-guided Generation. - Xiaowei Zhou 003; Ivor W. Tsang; Jie Yin 001 (CoRR, 2019)

Semi-supervised Adversarial Active Learning on Attributed Graphs. - Yayong Li; Jie Yin 001; Ling Chen 006 (CoRR, 2019)

Attributed network embedding via subspace discovery. - Daokun Zhang; Jie Yin 001; Xingquan Zhu 001; Chengqi Zhang (Data Min. Knowl. Discov., 2019)

Introduction to the Special Issue on AI for Disaster Management and Resilience. - Yu-Ru Lin; Carlos Castillo 001; Jie Yin 001 (IEEE Intell. Syst., 2019)

Data Subset Selection With Imperfect Multiple Labels. - Meng Fang; Tianyi Zhou 001; Jie Yin 001; Yang Wang 023; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2019)

Network Representation Learning: A Survey. - Daokun Zhang; Jie Yin 001; Xingquan Zhu 001; Chengqi Zhang (IEEE Trans. Big Data, 2020)

Sequence Classification Restricted Boltzmann Machines With Gated Units. - Son N. Tran; Artur S. d'Avila Garcez; Tillman Weyde; Jie Yin 001; Qing Zhang 001; Mohan Karunanithi (IEEE Trans. Neural Networks Learn. Syst., 2020)

SMINT: Toward Interpretable and Robust Model Sharing for Deep Neural Networks. - Huijun Wu 001; Chen Wang 008; Richard Nock; Wei Wang 011; Jie Yin 001; Kai Lu 001; Liming Zhu 001 (ACM Trans. Web, 2020)

Unified Robust Training for Graph Neural Networks Against Label Noise. - Yayong Li; Jie Yin 001; Ling Chen 006 (PAKDD (1), 2021)

Human-Understandable Decision Making for Visual Recognition. - Xiaowei Zhou 003; Jie Yin 001; Ivor W. Tsang; Chen Wang 008 (PAKDD (3), 2021)

Wide Graph Neural Networks: Aggregation Provably Leads to Exponentially Trainability Loss. - Wei Huang 034; Yayong Li; Weitao Du; Richard Yi Da Xu; Jie Yin 001; Ling Chen 006 (CoRR, 2021)

Unified Robust Training for Graph NeuralNetworks against Label Noise. - Yayong Li; Jie Yin 001; Ling Chen 006 (CoRR, 2021)

Search Efficient Binary Network Embedding. - Daokun Zhang; Jie Yin 001; Xingquan Zhu 001; Chengqi Zhang (ACM Trans. Knowl. Discov. Data, 2021)

SEAL: Semisupervised Adversarial Active Learning on Attributed Graphs. - Yayong Li; Jie Yin 001; Ling Chen 006 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment. - Qijie Ding; Daokun Zhang; Jie Yin 001 (ICDM, 2022)

Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective. - Wei Huang 034; Yayong Li; Weitao Du; Richard Y. D. Xu; Jie Yin 001; Ling Chen 006; Miao Zhang (ICLR, 2022)

Edge but not Least: Cross-View Graph Pooling. - Xiaowei Zhou 003; Jie Yin 001; Ivor W. Tsang (ECML/PKDD (2), 2022)

Quasi-Framelets: Another Improvement to GraphNeural Networks. - Mengxi Yang; Xuebin Zheng; Jie Yin 001; Junbin Gao (CoRR, 2022)

Latent Boundary-guided Adversarial Training. - Xiaowei Zhou 003; Ivor W. Tsang; Jie Yin 001 (CoRR, 2022)

Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion. - Han Wu 009; Jie Yin 001; Bala Rajaratnam; Jianyuan Guo (ICLR, 2023)

Informative pseudo-labeling for graph neural networks with few labels. - Yayong Li; Jie Yin 001; Ling Chen 006 (Data Min. Knowl. Discov., 2023)

Link Prediction with Contextualized Self-Supervision. - Daokun Zhang; Jie Yin 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

LADDER: Latent boundary-guided adversarial training. - Xiaowei Zhou 003; Ivor W. Tsang; Jie Yin 001 (Mach. Learn., 2023)

SPZ: A Semantic Perturbation-based Data Augmentation Method with Zonal-Mixing for Alzheimer's Disease Detection. - Fangfang Li; Cheng Huang; Puzhen Su; Jie Yin 001 (ACL (1), 2024)

FS-GNN: Improving Fairness in Graph Neural Networks via Joint Sparsification. - Jiaxu Zhao 002; Tianjin Huang; Shiwei Liu 003; Jie Yin 001; Yulong Pei; Meng Fang; Mykola Pechenizkiy (Neurocomputing, 2025)

Quasi-framelets: robust graph neural networks via adaptive framelet convolution. - Mengxi Yang; Dai Shi; Xuebin Zheng; Jie Yin 001; Junbin Gao (Int. J. Mach. Learn. Cybern., 2025)

Multi-Granular Attention based Heterogeneous Hypergraph Neural Network. - Hong Jin; Kaicheng Zhou; Jie Yin 001; Lan You; Zhifeng Zhou (CoRR, 2025)

Prompted Meta-Learning for Few-shot Knowledge Graph Completion. - Han Wu 009; Jie Yin 001 (CoRR, 2025)

Combating confirmation bias: a unified pseudo-labeling framework for entity alignment. - Qijie Ding; Jie Yin 001; Daokun Zhang; Junbin Gao (Data Min. Knowl. Discov., 2025)