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• Adaptive multi-task sparse learning with an application to fMRI study

  Chen, X., He, J., Lawrence, R. & Carbonell, J. G., Jan 1 2012, Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012. Society for Industrial and Applied Mathematics Publications, p. 212-223 12 p. (Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012).

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

  • Magnetic Resonance Imaging
  • Brain
  • Semantics

• 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

• Addressing task heterogeneity in social media analytics

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

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

• A general framework for predictive tensor modeling with domain knowledge

  Zhu, Y., He, J. & Lawrence, R. D., Nov 29 2015, In: Data Mining and Knowledge Discovery. 29, 6, p. 1709-1732 24 p.

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

  • Tensors
  • Computer simulation
  • Semiconductor materials
  • Face recognition
  • Labels

• 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 framework for multi-task multi-view learning

  He, J. & Lawrence, R., Oct 7 2011, Proceedings of the 28th International Conference on Machine Learning, ICML 2011. p. 25-32 8 p. (Proceedings of the 28th International Conference on Machine Learning, ICML 2011).

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

  • Hilbert spaces
  • Learning algorithms
  • learning

• 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

• A graph-based recommendation across heterogeneous domains

  Yang, D., He, J., Qin, H., Xiao, Y. & Wang, W., Oct 17 2015, CIKM 2015 - Proceedings of the 24th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 463-472 10 p. (International Conference on Information and Knowledge Management, Proceedings; vol. 19-23-Oct-2015).

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

  • Graph
  • Web Sites
  • Diabetes
  • Overlapping
  • Movies

• 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 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

• Analysis of Rare Categories

  He, J. R., 2012, Springer. (Cognitive Technologies)

  Research output: Book/Report/Conference proceeding › Book

  • Artificial intelligence
  • Data mining
  • Machine learning

• An effective framework for characterizing rare categories

  He, J., Tong, H. & Carbonell, J., Apr 1 2012, In: Frontiers of Computer Science in China. 6, 2, p. 154-165 12 p.

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

  • Transactions
  • Framework
  • Convex optimization
  • Characterization
  • Banking

• 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

• 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

• 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

• 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

• Co-clustering based dual prediction for cargo pricing optimization

  Zhu, Y., Yang, H. & He, J., Aug 10 2015, KDD 2015 - Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1583-1592 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 2015-August).

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

  • Costs
  • Air
  • Industry

• 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

• 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

• 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

• 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

• 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

• 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)

• 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

• 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

• Diversified ranking on large graphs: An optimization viewpoint

  Tong, H., He, J., Wen, Z., Konuru, R. & Lin, C. Y., Sep 16 2011, Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD'11. p. 1028-1036 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

• 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

• 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

• 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

• 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

• GenDeR: A generic diversified ranking algorithm

  He, J. R., Tong, H., Mei, Q. & Szymanski, B. K., Dec 1 2012, Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012. p. 1142-1150 9 p. (Advances in Neural Information Processing Systems; vol. 2).

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

  • Information retrieval
  • Machine learning
  • Set theory

• 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

• 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

• 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

• 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

• Hierarchical active transfer learning

  Kale, D., Ghazvininejad, M., Ramakrishna, A., He, J. & Liu, Y., 2015, SIAM International Conference on Data Mining 2015, SDM 2015. Venkatasubramanian, S. & Ye, J. (eds.). Society for Industrial and Applied Mathematics Publications, p. 514-522 9 p. (SIAM International Conference on Data Mining 2015, SDM 2015).

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

  Open Access

  • Labels
  • Problem-Based Learning

• Hierarchical modeling with tensor inputs

  Zhu, Y., He, J. & Lawrence, R., Nov 7 2012, AAAI-12 / IAAI-12 - Proceedings of the 26th AAAI Conference on Artificial Intelligence and the 24th Innovative Applications of Artificial Intelligence Conference. p. 1233-1239 7 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 2).

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

  • Tensors
  • Computer simulation
  • Semiconductor materials
  • Face recognition
  • Computer vision

• Hierarchical multi-task learning with application to wafer quality prediction

  He, J. R. & Zhu, Y., Dec 1 2012, Proceedings - 12th IEEE International Conference on Data Mining, ICDM 2012. p. 290-298 9 p. 6413894. (Proceedings - IEEE International Conference on Data Mining, ICDM).

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

  • Semiconductor materials

• 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

• Improving traffic prediction with tweet semantics

  He, J., Shen, W., Divakaruni, P., Wynter, L. & Lawrence, R., Dec 1 2013, IJCAI 2013 - Proceedings of the 23rd International Joint Conference on Artificial Intelligence. p. 1387-1393 7 p. (IJCAI International Joint Conference on Artificial Intelligence).

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

  • Semantics
  • Linear regression

• 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

• 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

• 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