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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
• 2017

  A local algorithm for structure-preserving graph cut

  Zhou, D., Zhang, S., Yildirim, M. Y., Alcorn, S., Tong, H., Davulcu, H. & He, J., Aug 13 2017, KDD 2017 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 655-664 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F129685).

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

  Open Access

  • Proteins
  • Seed
  • Stars
  • Markov processes
  • Clustering algorithms

• A randomized approach for crowdsourcing in the presence of multiple views

  Zhou, Y. & He, J., Dec 15 2017, Proceedings - 17th IEEE International Conference on Data Mining, ICDM 2017. Karypis, G., Alu, S., Raghavan, V., Wu, X. & Miele, L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 685-694 10 p. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2017-November).

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

  • Crowdsourcing
  • Iterative methods
  • Tensors

• Bi-Level rare temporal pattern detection

  Zhou, D., He, J. R., Cao, Y. & Seo, J. S., Jan 31 2017, Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016. Bonchi, F., Wu, X., Baeza-Yates, R., Domingo-Ferrer, J. & Zhou, Z-H. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 719-728 10 p. 7837896. (Proceedings - IEEE International Conference on Data Mining, ICDM).

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

  • Anomaly detection
  • Electrocardiography
  • Labels
  • Sensor networks
  • Wireless networks

• Discovering rare categories from graph streams

  Zhou, D., Karthikeyan, A., Wang, K., Cao, N. & He, J., Mar 1 2017, In: Data Mining and Knowledge Discovery. 31, 2, p. 400-423 24 p.

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

  • Labeling
  • Sensor networks
  • Data mining
  • Wireless networks
  • Costs

• Finding cut from the same cloth: Cross network link recommendation via joint matrix factorization

  Nelakurthi, A. R. & He, J., Jan 1 2017, p. 1467-1473. 7 p.

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

  • Factorization
  • Medical problems
  • Experiments

• Functional regression with mode-sparsity constraint

  Yang, P. & He, J., Jan 31 2017, Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016. Bonchi, F., Wu, X., Baeza-Yates, R., Domingo-Ferrer, J. & Zhou, Z-H. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1311-1316 6 p. 7837991. (Proceedings - IEEE International Conference on Data Mining, ICDM).

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

  • Sensor networks

• Heterogeneous representation learning with structured sparsity regularization

  Yang, P. & He, J., Jan 31 2017, Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016. Bonchi, F., Wu, X., Baeza-Yates, R., Domingo-Ferrer, J. & Zhou, Z-H. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 539-548 10 p. 7837878. (Proceedings - IEEE International Conference on Data Mining, ICDM).

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

  • Labels
  • Iterative methods
  • Learning systems

• HiDDen: Hierarchical dense subgraph detection with application to financial fraud detection

  Zhang, S., Zhou, D., Yildirim, M. Y., Alcorn, S., He, J., Davulcu, H. & Tong, H., 2017, Proceedings of the 17th SIAM International Conference on Data Mining, SDM 2017. Chawla, N. & Wang, W. (eds.). Society for Industrial and Applied Mathematics Publications, p. 570-578 9 p. (Proceedings of the 17th SIAM International Conference on Data Mining, SDM 2017).

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

  Open Access

  • Quadratic programming

• HiMuV: Hierarchical framework for modeling multi-modality multi-resolution data

  Li, J., He, J. & Zhu, Y., Dec 15 2017, Proceedings - 17th IEEE International Conference on Data Mining, ICDM 2017. Karypis, G., Alu, S., Raghavan, V., Wu, X. & Miele, L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 267-276 10 p. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2017-November).

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

  • Smelting
  • Financial markets
  • Aluminum
  • Electric current control
  • Alumina

• Learning from data heterogeneity: Algorithms and applications

  He, J., 2017, 26th International Joint Conference on Artificial Intelligence, IJCAI 2017. Sierra, C. (ed.). International Joint Conferences on Artificial Intelligence, p. 5126-5130 5 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 0).

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

  Open Access

  • Crowdsourcing
  • Big data

• Learning from multi-modality multi-resolution data: An optimization approach

  Zhu, Y., Li, J. & He, J., 2017, Proceedings of the 17th SIAM International Conference on Data Mining, SDM 2017. Chawla, N. & Wang, W. (eds.). Society for Industrial and Applied Mathematics Publications, p. 714-722 9 p. (Proceedings of the 17th SIAM International Conference on Data Mining, SDM 2017).

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

  Open Access

  • Smelting
  • Aluminum
  • Time series
  • Temperature

• Local algorithm for user action prediction towards display ads

  Yang, H., Zhu, Y. & He, J., Aug 13 2017, KDD 2017 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2091-2099 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F129685).

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

  • Display devices
  • Marketing
  • Computational complexity

• MultiC²: An Optimization framework for learning from task and worker dual heterogeneity

  Zhou, Y., Ying, L. & He, J., 2017, Proceedings of the 17th SIAM International Conference on Data Mining, SDM 2017. Chawla, N. & Wang, W. (eds.). Society for Industrial and Applied Mathematics Publications, p. 579-587 9 p. (Proceedings of the 17th SIAM International Conference on Data Mining, SDM 2017).

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

  Open Access

  • Crowdsourcing
  • Tensors
  • Labels
  • Entropy
  • Computational complexity

• Multi-task function-on-function regression with co-grouping structured sparsity

  Yang, P., Tan, Q. & He, J., Aug 13 2017, KDD 2017 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1255-1264 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F129685).

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

• Towards optimal connectivity on multi-layered networks

  Chen, C., He, J., Bliss, N. & Tong, H., Oct 1 2017, In: IEEE Transactions on Knowledge and Data Engineering. 29, 10, p. 2332-2346 15 p., 7956273.

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

  • Critical infrastructures
  • Biological systems
  • Cyber Physical System
  • Large scale systems
  • Set theory

• User-guided cross-domain sentiment classification

  Nelakurthi, A. R., Tong, H., MacIejewski, R., Bliss, N. & He, J., 2017, Proceedings of the 17th SIAM International Conference on Data Mining, SDM 2017. Chawla, N. & Wang, W. (eds.). Society for Industrial and Applied Mathematics Publications, p. 471-479 9 p. (Proceedings of the 17th SIAM International Conference on Data Mining, SDM 2017).

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

  Open Access

  • Sentiment analysis
  • Human engineering
  • Monitoring
  • Computer simulation
  • Experiments
• 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