Publications
In chronological order |
Google Scholar |
DBLP
Journal Papers
2022
- [J31] Deep Multimodal Complementarity Learning
by D. Wang, T. Zhao, W. Yu, N.V. Chawla, M. Jiang.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022.
[DOI]
- [J30] Modeling Multi-scale Data via a Network of Networks
by S. Gu, M. Jiang, P.H. Guzzi, T. Milenkovic.
Bioinformatics, 2022.
[DOI]
- [J29] A Survey of Knowledge-Enhanced Text Generation
by W. Yu, C. Zhu, Z. Li, Z. Hu, Q. Wang, H. Ji, M. Jiang.
ACM Computing Surveys (CSUR), 2022.
[DOI]
- [J28] Federated Dynamic Graph Neural Networks with Secure Aggregation for Video-based Distributed Surveillance
by M. Jiang, T. Jung, R. Karl, T. Zhao.
ACM Transactions on Intelligent Systems and Technology (TIST), 2022.
[DOI]
- [J27] A Survey on Data-Driven Network Intrusion Detection
by D. Chou, M. Jiang.
ACM Computing Surveys (CSUR), 2022.
[DOI]
2021
- [J26] A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning
by T. Zhao, T. Jiang, N. Shah, M. Jiang.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021.
[DOI]
- [J25] Modeling Co-evolution of Attributed and Structural Information in Graph Sequence
by D. Wang, Z. Zhang, Y. Ma, T. Zhao, T. Jiang, N.V. Chawla, M. Jiang.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021.
[DOI]
- [J24] Structural and Textual Information Fusion for Symptom and Disease Representation Learning
by S. Zhao, M. Jiang, B. Qin, T. Liu, C.X. Zhai, F. Wang.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021.
[DOI]
- [J23] Unified Representation of Twitter and Online News using Graph and Entities
by M. Syed, D. Wang, M. Jiang, O. Conway, V. Juneja, S. Subramanian, N.V. Chawla.
Frontiers in Big Data, section Big Data Networks, 2021.
[DOI]
- [J22] Modeling Complementarity in Behavior Data with Multi-Type Itemset Embedding
by D. Wang, Q. Zeng, N.V. Chawla, M. Jiang.
ACM Transactions on Intelligent Systems and Technology (TIST), 2021.
[DOI]
- [J21] Biomedical Knowledge Graphs Construction from Conditional Statements
by T. Jiang, Q. Zeng, T. Zhao, B. Qin, T. Liu, N. Chawla, M. Jiang.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 2021.
[DOI]
- [J20] Inductive Contextual Relation Learning for Personalization
by C. Zhang, H. Yao, L. Yu, C. Huang, D. Song, M. Jiang, H. Chen, N.V. Chawla.
ACM Transactions on Information Systems (TOIS), 2021.
[DOI]
2020
- [J19] Binarizing Weights Wisely for Edge Intelligence: Guide for Partial Binarization of Deconvolution-Based Generators
by J. Liu, X. Xu, M. Jiang, Y. Shi.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCADICS), 2020.
[DOI] [bibtex]
- [J18] Leverage Electron Properties to Predict Phonon Properties via Transfer Learning for Semiconductors
by Z. Liu, M. Jiang, T. Luo.
Science Advances, 2020. (IF=12.530)
[DOI]
- [J17] Combined Heat and Power System Intelligent Economic Dispatch: A Deep Reinforcement Learning Approach
by S. Zhou, Z. Hu, W. Gu, M. Jiang, M. Chen, Q. Hong, C. Booth.
International Journal of Electrical Power and Energy System, 2020.
[DOI] [bibtex]
- [J16] Precise Temporal Slot Filling via Truth Finding with Data-Driven Commonsense
by X. Wang, M. Jiang.
Knowledge and Information Systems, 2020.
[DOI] [bibtex]
- [J15] Phrase-level Pairwise Topic Modeling to Uncover Helpful Peer Responses to Online Suicidal Crises
by M. Jiang, B.A. Ammerman, Q. Zeng, R. Jacobucci, A. Brodersen.
Nature Humanities and Social Sciences Communications, 2020.
[DOI] [bibtex]
2019
- [J14] Treatment Effect Estimation via Differentiated Confounder Balancing and Regression
by K. Kuang, P. Cui, B. Li, M. Jiang, S. Yang.
Transactions on Knowledge Discovery from Data (TKDD), 2019.
[DOI] [bibtex]
- [J13] An Integrated Energy System Operating Scenarios Generator based on Generative Adversarial Network
by S. Zhou, Z. Hu, Z. Zhong, D. He, M. Jiang.
Sustainability, 2019.
[DOI] [bibtex]
- [J12] Artificial Intelligence based Smart Energy Community Management: A Reinforcement Learning Approach
by S. Zhou, Z. Hu, W. Gu, M. Jiang, X. Zhang.
CSEE Journal of Power and Energy Systems, 2019.
[DOI] [bibtex]
2018
- [J11] Effective Promotional Strategies Selection in Social Media: A Data-Driven Approach
by K. Kuang, M. Jiang, P. Cui, J. Sun, S. Yang.
IEEE Transactions on Big Data (TBD), 2018.
[DOI] [bibtex]
- [J10] Automated Phrase Mining from Massive Text Corpora
by J. Shang, J. Liu, M. Jiang, X. Ren, C. R. Voss, J. Han.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018.
[DOI] [bibtex]
- [J9] DPPred: An Effective Prediction Framework with Concise Discriminative Patterns
by J. Shang, M. Jiang, W. Tong, J. Xiao, J. Peng, J. Han.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018.
[DOI] [bibtex]
2012-2017
- [J8] Embedding Learning with Events in Heterogeneous Information Networks
by H. Gui, J. Liu, F. Tao, M. Jiang, B. Norick, L. Kaplan, J. Han.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2017.
[DOI] [bibtex]
- [J7] Inferring Lockstep Behavior from Connectivity Pattern in Large Graphs
by M. Jiang, P. Cui, A. Beutel, C. Faloutsos, S. Yang.
Knowledge and Information Systems (KAIS), 2016.
[DOI] [bibtex]
- [J6] Catching Synchronized Behaviors in Large Networks: A Graph Mining Approach
by M. Jiang, P. Cui, A. Beutel, C. Faloutsos, S. Yang.
Special Issue on the Best of SIGKDD 2014, ACM Transactions on Knowledge Discovery from Data (TKDD), 2016.
[DOI] [bibtex]
- [J5] Spotting Suspicious Behaviors in Multimodal Data: A General Metric and Algorithms
by M. Jiang, A. Beutel, P. Cui, B. Hooi, S. Yang, C. Faloutsos.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2016.
[DOI] [bibtex]
- [J4] Suspicious Behavior Detection: Current Trends and Future Directions
by M. Jiang, P. Cui, C. Faloutsos.
Special Issue on Online Behavioral Analysis and Modeling, IEEE Intelligent Systems (IS), 2016.
[DOI] [bibtex]
- [J3] Social Recommendation with Cross-Domain Transferable Knowledge
by M. Jiang, P. Cui, X. Chen, F. Wang, W. Zhu, S. Yang.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2015.
[DOI] [bibtex]
- [J2] Scalable Recommendation with Social Contextual Information
by M. Jiang, P. Cui, F. Wang, W. Zhu, S. Yang.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2014.
[DOI] [bibtex]
- [J1] Mining Diversity on Social Media Networks
by L. Liu, F. Zhu, M. Jiang, J. Han, L. Sun, S. Yang.
Multimedia Tools and Applications (MTA), 2012.
[DOI] [bibtex]
Conference Papers
2022
- [C71] Graph Rationalization with Environment-based Augmentations
by G. Liu, T. Zhao, J. Xu, T. Luo, M. Jiang.
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2022.
- [C70] Automatic Controllable Product Copywriting for E-Commerce
by X. Guo, Q. Zeng, M. Jiang, X. Yun, B. Long, L. Wu.
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2022.
- [C69] Learning from Counterfactual Links for Link Prediction
by T. Zhao, G. Liu, D. Wang, W. Yu, M. Jiang.
International Conference on Machine Learning (ICML), 2022.
- [C68] A Bottom-Up End-User Intelligent Assistant Approach to Empower Gig Workers against AI Inequality
by T. Li, Y. Lu, J. Clark, M. Chen, V. Cox, M. Jiang, Y. Yang, T. Kay, D. Wood, J. Brockman.
Symposium on Human-Computer Interaction for Work (CHIWORK), 2022.
- [C67] Protein Functional Prediction via Multi-scale Data Integration
by S. Gu, M. Jiang, P.H. Guzzi, T. Milenkovic.
Conference on Intelligent Systems for Molecular Biology (ISMB), 2022. (Abstract)
- [C66] Intelligent Process Planning and Control of an Aerosol Jet Printing Process
by Y. Du, R. Landers, Y. Zhang, M. Jiang.
Annual International Solid Freeform Fabrication Symposium (SFF Symp), 2022. (Abstract)
- [C65] Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts
by W. Yu, C. Zhu, L. Qin, T. Zhao, M. Jiang.
Findings of Annual Meeting of the Association for Computational Linguistics (ACL), 2022.
- [C64] Dict-BERT: Enhancing Language Model Pre-training with Dictionary
by W. Yu, C. Zhu, Y. Fang, D. Yu, S. Wang, Y. Xu, M. Zeng, M. Jiang.
Findings of Annual Meeting of the Association for Computational Linguistics (ACL), 2022.
2021
- [C63] Multi-Round Parsing-based Multiword Rules for Scientific OpenIE
by J. Kuebler, L. Tong, M. Jiang.
International Conference on Big Knowledge (ICBK), 2021.
- [C62] Dynamic Attributed Graph Prediction with Conditional Normalizing Flows
by D. Wang, T. Zhao, N.V. Chawla, M. Jiang.
International Conference on Data Mining (ICDM), 2021.
[DOI]
- [C61] Sentence-Permuted Paragraph Generation
by W. Yu, C. Zhu, T. Zhao, Z. Guo, M. Jiang.
Empirical Methods on Natural Language Processing (EMNLP), 2021.
[DOI]
- [C60] Injecting Entity Types into Entity-Guided News Generation
by X. Dong*, W. Yu*, C. Zhu, M. Jiang.
Empirical Methods on Natural Language Processing (EMNLP), 2021.
[DOI]
- [C59] Action Sequence Augmentation for Early Graph-based Anomaly Detection
by T. Zhao, B. Ni, W. Yu, Z. Guo, N. Shah, M. Jiang.
ACM International Conference on Information and Knowledge Management (CIKM), 2021.
[DOI]
- [C58] Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations
by Q. Zeng, J. Lin, W. Yu, J. Cleland-Huang, M. Jiang.
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2021.
[DOI]
- [C57] Cross-Network Learning with Partially Aligned Graph Convolutional Networks
by M. Jiang.
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2021.
[DOI]
- [C56] Technical Question Answering across Tasks and Domains
by W. Yu, L. Wu, Q. Zeng, Y. Deng, R. Mahindru, S. Guven, M. Jiang.
Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HTL), 2021.
[DOI]
- [C55] Enhancing Factual Consistency of Abstractive Summarization
by C. Zhu, W. Hinthorn, R. Xu, Q. Zeng, M. Zeng, X. Huang, M. Jiang.
Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT), 2021.
[DOI]
- [C54] TCN: Table Convolutional Network for Web Table Interpretation
by D. Wang, P. Shiralkar, C. Lockard, B. Huang, X.L. Dong, M. Jiang.
The Web Conference (TheWebConf), 2021.
[DOI]
- [C53] Few-Shot Graph Learning for Molecular Property Prediction
by Z. Guo, C. Zhang, W. Yu, J. Herr, O. Wiest, M. Jiang, N.V. Chawla.
The Web Conference (TheWebConf), 2021.
[DOI]
- [C52] Traceability Transformed: Generating More Accurate Links with Pre-Trained BERT Models
by J. Lin, Y. Liu, Q. Zeng, M. Jiang, J. Huang.
International Conference on Software Engineering (ICSE), 2021. (ACM SIGSOFT Distinguished Paper Award)
- [C51] Data Augmentation for Graph Neural Networks
by T. Zhao, Y. Liu, L. Neves, O. Woodford, M. Jiang, N. Shah.
AAAI Conference on Artificial Intelligence (AAAI), 2021.
[slides]
2020
- [C50] Imputing Growth Snapshot Similarity in Early Childhood Development: A Tensor Decomposition Approach
by J. Schnur, R. Karl, A. Garcia-Martinez, M. Jiang, N.V. Chawla.
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020.
[DOI]
- [C49] Use of Internal Knowledge: Biomedical Literature Search Liberated From External Resources
by T. Jiang, N. Zhang, M. Liu, M. Jiang, T. Liu, B. Qin.
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020.
[DOI]
- [C48] Overcoming Data Sparsity in Predicting User Characteristics from Behavior through Graph Embeddings
by M. Syed, D. Wang, M. Jiang, O. Conway, V. Juneja, S. Subramanian, N.V. Chawla.
IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2020.
[DOI]
- [C47] A Technical Question Answering System with Transfer Learning
by W. Yu, L. Wu, Y. Deng, R. Mahindru, Q. Zeng, S. Guven, M. Jiang.
Findings of Empirical Methods on Natural Language Processing (EMNLP), 2020. (demo)
[DOI]
[github] [video]
- [C46] Tri-Train: Automatic Pre-fine Tuning between Pre-training and Fine-tune Training for SciNER
by Q. Zeng, W. Yu, M. Yu, T. Jiang, T. Weninger, M. Jiang.
Findings of Empirical Methods on Natural Language Processing (EMNLP), 2020.
[DOI]
- [C45] Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases
by C. Zhang, L. Yu, M. Saebi, M. Jiang, N. Chawla.
Findings of Empirical Methods on Natural Language Processing (EMNLP), 2020.
[DOI]
- [C44] GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction
by Z. Guo, W. Yu, C. Zhang, M. Jiang, N. Chawla.
ACM International Conference on Information and Knowledge Management (CIKM), 2020.
[DOI]
- [C43] Error-bounded Graph Anomaly Loss for GNNs
by T. Zhao, C. Deng, K. Yu, T. Jiang, D. Wang, M. Jiang.
ACM International Conference on Information and Knowledge Management (CIKM), 2020.
[DOI]
- [C42] Towards Semantically Guided Traceability
by Y. Liu, J. Lin, Q. Zeng, M. Jiang, J. Cleland-Huang.
IEEE International Requirements Engineering Conference (RE), 2020.
- [C41] Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors
by D. Wang, M. Jiang, M. Syed, O. Conway, V. Juneja, S. Subramanian, N. Chawla.
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2020.
[DOI]
- [C40] Crossing Variational Autoencoders for Answer Retrieval
by W. Yu, L. Wu, Q. Zeng, S. Tao, Y. Deng, M. Jiang.
Annual Meeting of the Association for Computational Linguistics (ACL), 2020.
[DOI] [bibtex]
- [C39] Improving Situational Awareness with Collective Artificial Intelligence over Knowledge Graphs
by M. Jiang.
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II in SPIE Defense + Commercial Sensing Symposium, 2020.
[DOI] [bibtex]
- [C38] Identifying Referential Intention with Heterogeneous Contexts
by W. Yu, M. Yu, T. Zhao, M. Jiang.
The Web Conference (TheWebConf), 2020.
[DOI] [bibtex]
- [C37] Experimental Evidence Extraction in Data Science with Hybrid Table Features and Ensemble Learning
by W. Yu, W. Peng, Y. Shu, Q. Zeng, M. Jiang.
The Web Conference (TheWebConf), 2020.
[DOI] [bibtex]
- [C36] Multi-label Patent Categorization with Non-local Attention-based Graph Convolutional Network
by P. Tang, M. Jiang, N. Xia, J. Pitera, J. Welser, N. Chawla.
AAAI Conference on Artificial Intelligence (AAAI), 2020.
- [C35] Few-Shot Knowledge Base Completion
by C. Zhang, H. Yao, M. Jiang, Z. Li, N. Chawla.
AAAI Conference on Artificial Intelligence (AAAI), 2020.
- [C34] Graph Few-shot Learning via Knowledge Transfer
by H. Yao, C. Zhang, Y. Wei, M. Jiang, S. Wang, N. Chawla, Z. Li.
AAAI Conference on Artificial Intelligence (AAAI), 2020.
2019
- [C33] Preserving Composition and Crystal Structure Information of Chemical Compounds in Atomic Embedding
by Y. Ding, D. Wang, T. Weninger, M. Jiang.
IEEE International Conference on Big Data (BigData), 2019. (poster)
[DOI] [bibtex]
- [C32] CTGA: Graph-based Biomedical Literature Search
by T. Jiang, Z. Zhang, T. Zhao, B. Qin, T. Liu, N. Chawla, M. Jiang.
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019.
[DOI] [bibtex]
- [C31] Multi-input Multi-output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text
by T. Jiang, T. Zhao, B. Qin, T. Liu, N. Chawla, M. Jiang.
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019.
[DOI] [bibtex]
- [C30] MSU-Net: Multiscale Statistical U-Net forReal-time 3D Cardiac MRI Video Segmentation
by T. Wang, X. Xu, J. Xiong, M. Jiang, Y. Shi.
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.
- [C29] The Role of 'Condition': A Novel Scientific Knowledge Graph Representation and Construction Model
by T. Jiang, T. Zhao, B. Qin, T. Liu, N. Chawla, M. Jiang.
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019.
[DOI] [bibtex]
- [C28] TUBE: Embedding Behavior Outcomes for Predicting Success
by D. Wang, T. Jiang, N. Chawla, M. Jiang.
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019.
[DOI] [bibtex]
- [C27] Tablepedia: Automating PDF Table Reading in an Experimental Evidence Exploration and Analytic System
by W. Yu, Z. Li, Q. Zeng, M. Jiang.
The Web Conference (TheWebConf), 2019. (demo)
[DOI] [bibtex]
- [C26] A Novel Unsupervised Approach for Precise Temporal Slot Filling from Incomplete and Noisy Temporal Contexts
by X. Wang, H. Zhang, Q. Li, Y. Shi, M. Jiang.
The Web Conference (TheWebConf), 2019.
[DOI] [bibtex]
2018
- [C25] Actionable Objective Optimization for Suspicious Behavior Detection on Large Bipartite Graphs
by T. Zhao, M. Malir, M. Jiang.
IEEE International Conference on Big Data (BigData), 2018.
[DOI] [bibtex]
- [C24] Doc2Cube: Allocating Documents to Text Cube without Labeled Data
by F. Tao, C. Zhang, X. Chen, M. Jiang, T. Hanratty, L. Kaplan, J. Han.
IEEE International Conference on Data Mining (ICDM), 2018.
[DOI] [bibtex]
- [C23] Optimizing Boiler Control in Real-Time with Machine Learning for Sustainability
by Y. Ding, J. Liu, J. Xiong, M. Jiang, Y. Shi.
ACM International Conference on Information and Knowledge Management (CIKM), 2018.
[DOI] [bibtex]
- [C22] CausalTriad: Toward Pseudo Causal Relation Discovery and Hypotheses Generation from Medical Text Data
by S. Zhao, M. Jiang, M. Liu, B. Qin, T. Liu.
ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (BCB), 2018.
[DOI] [bibtex]
- [C21] A Project Showcase for Planning Research Work towards Publishable Success
by D. Wang, M. Jiang, X. Wang, T. Zhao, Q. Zeng, N.V. Chawla.
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2018. (demo)
[DOI] [bibtex]
- [C20] TaxoGen: Constructing Topical Concept Taxonomy by Adaptive Term Embedding and Clustering
by C. Zhang, F. Tao, X. Chen, J. Shen, M. Jiang, B. Sadler, M. Vanni, J. Han.
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2018.
[DOI] [bibtex]
- [C19] TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction
by M. Jiang*, Q. Li*, X. Zhang, M. Qu, T. Hanratty, J. Gao, J. Han.
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2018. (* for equal contribution)
[DOI] [bibtex]
- [C18] Multi-Type Itemset Embedding for Learning Behavior Success
by D. Wang, M. Jiang, Q. Zeng, Z. Eberhart, N.V. Chawla.
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2018.
[DOI] [bibtex]
2017
- [C17] LifeNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences
by X. Ren, J. Shen, M. Qu, X. Wang, Z. Wu, Q. Zhu, M. Jiang, F. Tao, S. Sinha, D. Liem, P. Ping, R. Weinshilboum, J. Han. Annual Meeting of the Association for Computational Linguistics (ACL), 2017. (demo)
- [C16] MetaPAD: Meta Patten Discovery from Massive Text Corpora
by M. Jiang, J. Shang, T. Cassidy, X. Ren, L. Kaplan, T. Hanratty, J. Han.
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2017.
[DOI] [bibtex] [poster]
- [C15] Estimating Treatment Effect in the Wild via Differentiated Confounder Balancing
by K. Kuang, P. Cui, B. Li, M. Jiang, S. Yang.
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2017.
[DOI] [bibtex]
- [C14] ContextCare: Incorporating Contextual Information Networks to Representation Learning in Medical Forum Data
by S. Zhao, M. Jiang, Q. Yuan, B. Qin, T. Liu, C.X. Zhai.
International Joint Conference on Artificial Intelligence (IJCAI), 2017.
[DOI] [bibtex]
- [C13] Treatment Effect Estimation with Data-Driven Variable Decomposition
by K. Kuang, P. Cui, B. Li, M. Jiang, S. Yang, F. Wang.
AAAI Conference on Artificial Intelligence (AAAI), 2017.
[bibtex]
2016
- [C12] Steering Social Media Promotions with Effective Strategies
by K. Kuang, M. Jiang, P. Cui, S. Yang.
IEEE International Conference on Data Mining (ICDM), 2016.
[DOI] [bibtex]
- [C11] Large-Scale Embedding Learning in Heterogeneous Event Data
by H. Gui, J. Liu, F. Tao, M. Jiang, B. Norick, J. Han.
IEEE International Conference on Data Mining (ICDM), 2016.
[bibtex]
- [C10] CatchTartan: Representing and Summarizing Dynamic Multicontextual Behaviors
by M. Jiang, C. Faloutsos, J. Han.
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2016.
[DOI] [bibtex] [slides] [poster]
- [C9] Little is Much: Bridging Cross-Platform Behaviors through Overlapped Crowds
by M. Jiang, P. Cui, N. J. Yuan, X. Xie, S. Yang.
AAAI Conference on Artificial Intelligence (AAAI), 2016.
[bibtex] [slides] [poster]
2010-2015
- [C8] A General Suspiciousness Metric for Dense Blocks in Multimodal Data
by M. Jiang, A. Beutel, P. Cui, B. Hooi, S. Yang, C. Faloutsos.
IEEE International Conference on Data Mining (ICDM), 2015.
[DOI] [bibtex] [slides]
- [C7] FEMA: Flexible Evolutionary Multi-Faceted Analysis for Dynamic Behavioral Pattern Discovery
by M. Jiang, P. Cui, F. Wang, X. Xu, W. Zhu, S. Yang.
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2014.
[DOI] [bibtex] [slides] [talk]
- [C6] CatchSync: Catching Synchronized Behavior in Large Directed Graphs
by M. Jiang, P. Cui, A. Beutel, C. Faloutsos, S. Yang.
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2014.
(Best Paper Finalist)
[DOI] [bibtex] [slides] [talk] [code] [code+data]
- [C5] Inferring Strange Behavior from Connectivity Pattern in Social Networks
by M. Jiang, P. Cui, A. Beutel, C. Faloutsos, S. Yang.
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2014.
[DOI] [bibtex] [slides] [code]
- [C4] Detecting Suspicious Following Behavior in Multimillion-Node Social Networks
by M. Jiang, P. Cui, A. Beutel, C. Faloutsos, S. Yang.
International Conference on World Wide Web (WWW), 2014. (poster)
[DOI] [bibtex] [poster]
- [C3] Social Recommendation across Multiple Relational Domains
by M. Jiang, P. Cui, F. Wang, Q. Yang, W. Zhu, S. Yang.
ACM International Conference on Information and Knowledge Management (CIKM), 2012.
[DOI] [bibtex] [slides]
- [C2] Social Contextual Recommendation
by M. Jiang, P. Cui, R. Liu, Q. Yang, F. Wang, W. Zhu, S. Yang.
ACM International Conference on Information and Knowledge Management (CIKM), 2012.
[DOI] [bibtex] [slides]
- [C1] Mining Topic-Level Influence in Heterogeneous Networks
by L. Liu, J. Tang, J. Han, M. Jiang, S. Yang.
ACM International Conference on Information and Knowledge Management (CIKM), 2010.
[DOI] [bibtex]
Workshop Paper
2022
- [W16] Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts
by W. Yu, C. Zhu, L. Qin, T. Zhao, M. Jiang.
Workshop of Deep Learning on Graphs for Natural Language Processing (DLG4NLP) at
North American Chapter of the Association for Computational Linguistics (NAACL), 2022.
2021
- [W15] Validating Label Consistency in NER Data Annotation
by Q. Zeng, M. Yu, W. Yu, T. Jiang, M. Jiang.
Workshop on Evaluation and Comparison of NLP Systems (Eval4NLP) at
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.
- [W14] Evolutionary Graph Normalizing Flows
by D. Wang, T. Zhao, N.V. Chawla, M. Jiang.
International Workshop on Deep Learning on Graphs: Methods and Applications (DLG) at
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2021.
2020
- [W13] SmartFund: Predicting Research Outcomes with Machine Learning and Natural Language Processing
by A. Alaphat, M. Jiang.
International Workshop on Big Data Tools, Methods, and Use Cases for Innovative Scientific Discovery (BTSD) at
IEEE International Conference on Big Data (BigData), 2020. (Regular paper, 10 pages. Mr. Alaphat was a frenshman undergraduate when he finished the work.)
- [W12] Learning Attribute-Structure Co-Evolutions in Dynamic Graphs
by D. Wang, Z. Zhang, Y. Ma, T. Zhao, T. Jiang, N.V. Chawla, M. Jiang.
International Workshop on Deep Learning on Graphs: Methods and Applications (DLG) at
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2020. (Best Paper Award)
- [W11] Early Fraud Detection with Augmented Graph Learning
by T. Zhao, N. Bo, W. Yu, M. Jiang.
International Workshop on Deep Learning on Graphs: Methods and Applications (DLG) at
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2020.
- [W10] GNN-based Graph Anomaly Detection with Graph Anomaly Loss
by T. Zhao, C. Deng, K. Yu, T. Jiang, D. Wang, M. Jiang.
International Workshop on Deep Learning on Graphs: Methods and Applications (DLG) at
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2020.
- [W9] A Probabilistic Model with Commonsense Constraints for Pattern-based Temporal Fact Extraction
by Y. Zhou, T. Zhao, M. Jiang.
Workshop on Fact Extraction and Verification (FEVER) at
Annual Meeting of the Association for Computational Linguistics (ACL), 2020.
- [W8] Generating Helpful Responses for Intelligent Tech Support
by W. Yu, L. Wu, S. Tao, Y. Deng, Q. Zeng, M. Jiang.
Reasoning for Complex QA Workshop (RCQA) at
AAAI Conference on Artificial Intelligence (AAAI), 2020.
2019
- [W7] Graph Few-shot Learning via Knowledge Transfer
by H. Yao, C. Zhang, Y. Wei, M. Jiang, S. Wang, N.V. Chawla, Z. Li.
Graph Representation Learning Workshop (GRL) at
Conference on Neural Information Processing Systems (NeurIPS), 2019.
- [W6] Faceted Hierarchy: A New Graph Type to Organize Scientific Concepts and a Construction Method
by Q. Zeng, M. Yu, W. Yu, J. Xiong, Y. Shi, M. Jiang.
Workshop on Graph-Based Natural Language Processing (TextGraphs) at
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019.
- [W5] A Study of Person Entity Extraction and Profiling from Classical Chinese Historiography
by Y. Ma, Q. Zeng, T. Jiang, L. Cai, M. Jiang.
International Workshop on EntitY REtrieval (EYRE) at
ACM International Conference on Information and Knowledge Management (CIKM), 2019.
- [W4] Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements
by T. Jiang, T. Zhao, B. Qin, T. Liu, N.V. Chawla, M. Jiang.
International Workshop on Data Mining in Bioinformatics (BioKDD) at
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019.
2016-2018
- [W3] Multifaceted Event Analysis on Cross-Media Network Data
by D. Wang, M. Jiang, X. Wang, N. Chawla, and P. Brunts.
International Workshop on Heterogeneous Networks Analysis and Mining (HeteroNAM) at
ACM Conference on Web Search and Data Mining (WSDM), 2018.
- [W2] Integrating Knowledge from Latent and Explicit Features for Triple Scoring—Team Radicchio's Triple Scorer at WSDM Cup 2017
by L.W. Chen, B. Mangipudi, J. Bandlamudi, R. Sehgal, Y. Hao, M. Jiang, H. Gui.
The 10th ACM Conference on Web Search and Data Mining (WSDM) Notebook Papers, 2017.
- [W1] Catching Social Media Advertisers with Strategy Analysis
by M. Jiang.
The First International Workshop on Computational Methods for CyberSafety at
ACM International Conference on Information and Knowledge Management (CIKM), 2016.
[bibtex] [slides]
Book Chapters
- [B3] Editorial: Computational Behavioral Modeling for Big User Data
by M. Jiang, C. Zhang, X. Zhang, N. Shah. In
Frontiers in Big Data, section Big Data Networks, 2022.
- [B2] Behavior Modeling in Social Networks
by M. Jiang. In
Encyclopedia of Social Network Analysis and Mining, 2nd edition, Springer, 2017.
[Work Entry]
[Book]
- [B1] Mining User Behaviors in Large Social Networks
by M. Jiang and P. Cui. Book Chapter in
Big Data in Complex and Social Networks, Chapman and Hall/CRC Big Data Series, 2016.
[CRCnetBASE]
[CRC Press]
[Amazon]
Online Demonstrations
Preprints
- [P7] Graph Data Augmentation for Graph Machine Learning: A Survey
by T. Zhao, G. Liu, S. Günnemann, M. Jiang.
arXiv preprint arXiv:2202.08871, February 2022.
- [P6] Counterfactual Graph Learning for Link Prediction
by T. Zhao, G. Liu, D. Wang, M. Jiang.
arXiv preprint arXiv:2106.02172, June 2021.
- [P5] Specification Mining and Automated Task Planning for Autonomous Robots based on a Graph-based Spatial Temporal Logic
by Z. Liu, M. Jiang, H. Lin.
arXiv preprint arXiv:2007.08451, July 2020.
- [P4] Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network
by T. Jiang, T. Zhao, B. Qin, T. Liu, N.V. Chawla, M. Jiang.
arXiv preprint arXiv:2006.09610, June 2020.
- [P3] Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning
by M. Saebi, S. Krieg, C. Zhang, M. Jiang, N.V. Chawla.
arXiv preprint arXiv:2003.06050, March 2020.
- [P2] Improving Generalizability of Fake News Detection Methods using Propensity Score Matching
by B. Ni, Z. Guo, J. Li, M. Jiang.
arXiv preprint arXiv:2002.00838, January 2020.
- [P1] Contrast Subgraph Mining from Coherent Cores
by J. Shang, X. Shi, M. Jiang, L. Liu, T. Hanratty, J. Han.
arXiv preprint arXiv:1802.06189, February 2018.