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• 2019

  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