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• 2016

  A Generalized Hierarchical Multi-Latent Space Model for Heterogeneous Learning

  Yang, P., Davulcu, H., Zhu, Y. & He, J., Dec 1 2016, In: IEEE Transactions on Knowledge and Data Engineering. 28, 12, p. 3154-3168 15 p., 7572203.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Labels
  • Image annotation
  • Genes
  • Learning algorithms
  • Tuning

• A graph-based hybrid framework for modeling complex heterogeneity

  Yang, P. & He, J., Jan 5 2016, Proceedings - 15th IEEE International Conference on Data Mining, ICDM 2015. Aggarwal, C., Zhou, Z-H., Tuzhilin, A., Xiong, H. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1081-1086 6 p. 7373439. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2016-January).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Image analysis
  • Quality control
  • Brain
  • Set theory

• Co-clustering structural temporal data with applications to semiconductor manufacturing

  Zhu, Y. & He, J., May 2016, In: ACM Transactions on Knowledge Discovery from Data. 10, 4, 43.

  Research output: Contribution to journal › Article › peer-review

  • Semiconductor materials
  • Time series
  • Struts
  • Anomaly detection
  • Flow of gases

• Comparing random forest with logistic regression for predicting class-imbalanced civil war onset data

  Muchlinski, D., Siroky, D., He, J. R. & Kocher, M., Dec 1 2016, In: Political Analysis. 24, 1, p. 87-103 17 p.

  Research output: Contribution to journal › Article › peer-review

  • civil war
  • logistics
  • regression
  • event
  • statistical method

• Cross-Site Virtual Social Network Construction

  Xie, C., Yang, D., He, J. & Xiao, Y., Jan 29 2016, Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015. Wu, X., Tuzhilin, A., Xiong, H., Dy, J. G., Aggarwal, C., Zhou, Z-H. & Cui, P. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1660-1663 4 p. 7395882. (Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Medical problems
  • Ships
  • Semantics

• Crowdsourcing via tensor augmentation and completion

  Zhou, Y. & He, J., Jan 1 2016, In: IJCAI International Joint Conference on Artificial Intelligence. 2016-January, p. 2435-2441 7 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Crowdsourcing
  • Tensors
  • Labels
  • Labeling
  • Costs

• Discussion of ‘Reinforcement learning behaviors in sponsored search’

  He, J., May 1 2016, In: Applied Stochastic Models in Business and Industry. 32, 3, 1 p.

  Research output: Contribution to journal › Comment/debate › peer-review

• Jointly modeling label and feature heterogeneity in medical informatics

  Yang, P., Yang, H., Fu, H., Zhou, D., Ye, J., Lappas, T. & He, J., May 2016, In: ACM Transactions on Knowledge Discovery from Data. 10, 4, 39.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Medical informatics
  • Labels
  • Classifiers
  • Data handling
  • Medical problems

• On the connectivity of multi-layered networks: Models, measures and optimal control

  Chen, C., He, J., Bliss, N. & Tong, H., Jan 5 2016, Proceedings - 15th IEEE International Conference on Data Mining, ICDM 2015. Aggarwal, C., Zhou, Z-H., Tuzhilin, A., Xiong, H. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 715-720 6 p. 7373378. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2016-January).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Critical infrastructures
  • Flexible structures
  • Cyber Physical System
  • Network layers
  • Data structures

• Rare category detection on time-evolving graphs

  Zhou, D., Wang, K., Cao, N. & He, J., Jan 5 2016, Proceedings - 15th IEEE International Conference on Data Mining, ICDM 2015. Aggarwal, C., Zhou, Z-H., Tuzhilin, A., Xiong, H. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1135-1140 6 p. 7373448. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2016-January).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Labeling
  • Data mining
  • Costs
• 2018

  Addressing task heterogeneity in social media analytics

  Nelakurthi, A. R. & He, J., Jan 1 2018.

  Research output: Contribution to conference › Paper › peer-review

• A local algorithm for product return prediction in E-commerce

  Zhu, Y., Li, J., He, J., Quanz, B. L. & Deshpande, A. A., Jul 2018, Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. Lang, J. (ed.). International Joint Conferences on Artificial Intelligence, p. 3718-3724 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2018-July).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • History
  • Electronic commerce
  • Computational complexity
  • Set theory
  • Industry

• A winners-take-all incentive mechanism for crowd-powered systems

  Jiang, P., Wang, W., Ying, L., Zhou, Y. & He, J., Jun 18 2018, Proceedings of NetEcon 2018: The 13th Workshop on the Economics of Networks, Systems, and Computation - In conjunction with ACM SIGMETRICS 2018: The ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems. Association for Computing Machinery, Inc, 3. (Proceedings of NetEcon 2018: The 13th Workshop on the Economics of Networks, Systems, and Computation - In conjunction with ACM SIGMETRICS 2018: The ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Crowdsourcing
  • Data Analytics
  • Data privacy
  • Big data
  • Cost functions

• E-tail product return prediction via hypergraph-based local graph cut

  Li, J., He, J. & Zhu, Y., Jul 19 2018, KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 519-527 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Electronic commerce
  • Freight transportation
  • Logistics
  • Data mining
  • Costs

• Feature co-shrinking for co-clustering

  Tan, Q., Yang, P. & He, J., May 2018, In: Pattern Recognition. 77, p. 12-19 8 p.

  Research output: Contribution to journal › Article › peer-review

  • Feature extraction
  • Factorization

• Function-on-function regression with mode-sparsity regularization

  Yang, P., Tan, Q. & He, J., Mar 2018, In: ACM Transactions on Knowledge Discovery from Data. 12, 3, 36.

  Research output: Contribution to journal › Article › peer-review

  • Tensors
  • Sensor networks

• Heterogeneous representation learning with separable structured sparsity regularization

  Yang, P., Tan, Q., Zhu, Y. & He, J., Jun 1 2018, In: Knowledge and Information Systems. 55, 3, p. 671-694 24 p.

  Research output: Contribution to journal › Article › peer-review

  • Labels

• Inferring Anchor Links Based on Social Network Structure

  Feng, S., Shen, D., Nie, T., Kou, Y., He, J. & Yu, G., Mar 8 2018, In: IEEE Access. 6, p. 17340-17353 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Anchors
  • Experiments

• Optimizing the wisdom of the crowd: Inference, learning, and teaching

  Zhou, Y. & He, J., Jan 1 2018.

  Research output: Contribution to conference › Paper › peer-review

• RCLens: Interactive Rare Category Exploration and Identification

  Lin, H., Gao, S., Gotz, D., Du, F., He, J. & Cao, N., Jul 1 2018, In: IEEE Transactions on Visualization and Computer Graphics. 24, 7, p. 2223-2237 15 p.

  Research output: Contribution to journal › Article › peer-review

  • Problem-Based Learning
  • Visualization
  • Network security
  • Medicine
  • Learning algorithms

• Should patients with diabetes be encouraged to integrate social media into their care plan?

  Nelakurthi, A. R., Pinto, A. M., Cook, C. B., Jones, L., Boyle, M., Ye, J., Lappas, T. & He, J., Jan 1 2018, In: Future Science OA. 4, 7, FSO323.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Social Media
  • Diabetes Mellitus
  • Social Networking
  • Self-Management
  • Life Style

• SPARC: Self-Paced Network Representation for Few-Shot Rare Category Characterization

  Zhou, D., He, J. R., Yang, H. & Fan, W., Aug 2018, p. 2807-2816.

  Research output: Contribution to conference › Paper › peer-review

  • Labels
  • Curricula
  • Intrusion detection
  • Computer networks
  • Machinery

• Unlearn what you have learned: Adaptive crowd teaching with exponentially decayed memory learners

  Zhou, Y., Nelakurthi, A. R. & He, J., Jul 19 2018, KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2817-2826 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Teaching
  • Crowdsourcing
  • Data storage equipment
  • Labels
  • Computer aided instruction
• 2019

  Convolution-consistent collective matrix completion

  Liu, X., He, J., Duddy, S. & O'Sullivan, L., Nov 3 2019, CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2209-2212 4 p. (International Conference on Information and Knowledge Management, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Convolution
  • Matrix
  • Graph
  • Dimensionality Reduction
  • Recommender Systems

• Deep multimodality model for multi-task multi-view learning

  Zheng, L., Cheng, Y. & He, J., 2019, SIAM International Conference on Data Mining, SDM 2019. Society for Industrial and Applied Mathematics Publications, p. 10-16 7 p. (SIAM International Conference on Data Mining, SDM 2019).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Deep neural networks
  • Image classification
  • Deep learning
  • Websites
  • Learning algorithms

• Deep multi-task learning with adversarial-and-cooperative nets

  Yang, P., Tan, Q., Ye, J., Tong, H. & He, J., 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). International Joint Conferences on Artificial Intelligence, p. 4078-4084 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2019-August).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Discriminators
  • Classifiers

• Demo-Net: Degree-specific graph neural networks for node and graph classification

  Wu, J., He, J. & Xu, J., Jul 25 2019, KDD 2019 - Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 406-415 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Convolution
  • Neural networks
  • Seed
  • Hilbert spaces
  • Density (specific gravity)

• Gold panning from the mess: Rare category exploration, exposition, representation, and interpretation

  Zhou, D. & He, J., Jul 25 2019, KDD 2019 - Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 3213-3214 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Gold
  • Decision support systems
  • Labels

• ImVerde: Vertex-Diminished Random Walk for Learning Imbalanced Network Representation

  Wu, J., He, J. & Liu, Y., Jan 22 2019, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 871-880 10 p. 8622603. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Accidents
  • Sampling
  • Air traffic control
  • Electric network analysis
  • Labels

• Machine Learning for VLSI Chip Testing and Semiconductor Manufacturing Process Monitoring and Improvement

  Xiong, J., Zhu, Y. & He, J., Mar 16 2019, Machine Learning in VLSI Computer-Aided Design. Elfadel, I. M., Boning, D. S. & Li, X. (eds.). Springer International Publishing, p. 233-263

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Process monitoring
  • Semiconductor materials
  • Machine learning
  • Testing
  • Industry

• Motif-Preserving Dynamic Local Graph Cut

  Zhou, D., He, J., Davulcu, H. & MacIejewski, R., Jan 22 2019, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1156-1161 6 p. 8622263. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Finance
  • Stars
  • Large scale systems

• Multi-task crowdsourcing via an optimization framework

  Zhou, Y., He, J. & Ying, L., May 29 2019, In: ACM Transactions on Knowledge Discovery from Data. 13, 3, 27.

  Research output: Contribution to journal › Article › peer-review

  • Crowdsourcing
  • Tensors
  • Labels
  • Entropy
  • Computational complexity

• Optimizing the wisdom of the crowd: Inference, learning, and teaching

  Zhou, Y., Ma, F., Gao, J. & He, J., Jul 25 2019, KDD 2019 - Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 3231-3232 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Crowdsourcing
  • Teaching
  • Data Science
  • Supervised learning
  • Agglomeration

• Scalable manifold-regularized attributed network embedding via maximum mean discrepancy

  Wu, J. & He, J., Nov 3 2019, CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2101-2104 4 p. (International Conference on Information and Knowledge Management, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Discrepancy
  • Node
  • Hilbert Space
  • Kernel
  • Information Structure

• Seeing the forest through the trees

  Muchlinski, D. A., Siroky, D., He, J. & Kocher, M. A., Jan 1 2019, In: Political Analysis. 27, 1, p. 111-113 3 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Source Free Domain Adaptation Using an Off-the-Shelf Classifier

  Nelakurthi, A. R., MacIejewski, R. & He, J., Jan 22 2019, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 140-145 6 p. 8622112. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Classifiers
  • Labels
  • Data mining
  • Machine learning
  • Availability

• Task-adversarial co-generative nets

  Yang, P., Tong, H., Tan, Q. & He, J., Jul 25 2019, KDD 2019 - Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1596-1604 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Labels
  • Classifiers

• Towards explainable representation of time-evolving graphs via spatial-temporal graph attention networks

  Liu, Z., Zhou, D. & He, J., Nov 3 2019, CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2137-2140 4 p. (International Conference on Information and Knowledge Management, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Graph
  • Learning Model
  • Node
  • Health Care Finance
  • Regulated Industries
• 2020

  A Data-Driven Graph Generative Model for Temporal Interaction Networks

  Zhou, D., Zheng, L., Han, J. & He, J., Aug 23 2020, KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 401-411 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Discriminators
  • Social sciences
  • Anomaly detection
  • Sampling

• A View-Adversarial Framework for Multi-View Network Embedding

  Fu, D., Xu, Z., Li, B., Tong, H. & He, J., Oct 19 2020, CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2025-2028 4 p. (International Conference on Information and Knowledge Management, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Node
  • Anomaly Detection
  • Facebook
  • Comprehensiveness
  • Robustness

• Complex heterogeneity learning: A theoretical and empirical study

  Yang, P., Tan, Q. & He, J., Nov 2020, In: Pattern Recognition. 107, 107519.

  Research output: Contribution to journal › Article › peer-review

  • Labeling
  • Image analysis
  • Quality control
  • Brain

• Crowd Teaching with Imperfect Labels

  Zhou, Y., Nelakurthi, A. R., MacIejewski, R., Fan, W. & He, J., Apr 20 2020, The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020. Association for Computing Machinery, Inc, p. 110-121 12 p. (The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Teaching
  • Labels
  • Labeling
  • Crowdsourcing
  • Gages

• Domain Adaptive Multi-Modality Neural Attention Network for Financial Forecasting

  Zhou, D., Zheng, L., Zhu, Y., Li, J. & He, J., Apr 20 2020, The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020. Association for Computing Machinery, Inc, p. 2230-2240 11 p. (The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Neural networks
  • Finance
  • Time series analysis
  • Financial markets
  • Deep neural networks

• Generic Outlier Detection in Multi-Armed Bandit

  Ban, Y. & He, J., Aug 23 2020, KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 913-923 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Anomaly detection
  • Finance
  • Marketing
  • Set theory
  • Costs

• InFoRM: Individual Fairness on Graph Mining

  Kang, J., He, J., MacIejewski, R. & Tong, H., Aug 23 2020, KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 379-389 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Costs

• Local Motif Clustering on Time-Evolving Graphs

  Fu, D., Zhou, D. & He, J., Aug 23 2020, KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 390-400 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Seed
  • Complex networks
  • Experiments

• Missing information imputation for disease-dedicated social networks with heterogeneous auxiliary data

  Liu, X., He, J., Min, W. & Yang, H., Apr 2 2020, In: IISE Transactions on Healthcare Systems Engineering. 10, 2, p. 87-98 12 p.

  Research output: Contribution to journal › Article › peer-review

  • Social Networking
  • Heterogeneous networks
  • Biomarkers
  • social network
  • Medical problems

• RCAnalyzer: visual analytics of rare categories in dynamic networks

  Pan, J. C., Han, D. M., Guo, F. Z., Zhou, D. W., Cao, N., He, J. R., Xu, M. L. & Chen, W., Apr 1 2020, In: Frontiers of Information Technology and Electronic Engineering. 21, 4, p. 491-506 16 p.

  Research output: Contribution to journal › Article › peer-review

  • Visualization
  • Labels

• Social Media Analytics for User Behavior Modeling: A Task Heterogeneity Perspective

  Nelakurthi, A. R. & He, J., Jan 16 2020, CRC Press. 98 p.

  Research output: Book/Report/Conference proceeding › Book

  • Machine learning
  • Communication

• Visual Analytics of Anomalous User Behaviors: A Survey

  Shi, Y., Liu, Y., Tong, H., He, J., Yan, G. & Cao, N., 2020, (Accepted/In press) In: IEEE Transactions on Big Data.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • User Behavior
  • Research Work
  • Financial Fraud
  • Financial Networks
  • Information technology