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Research Output 2004 2019

  • 1406 Citations
  • 17 h-Index
  • 73 Conference contribution
  • 27 Article
  • 1 Chapter
  • 1 Comment/debate
2019
1 Citation (Scopus)

Deep multimodality model for multi-task multi-view learning

Zheng, L., Cheng, Y. & He, J., Jan 1 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 proceedingConference contribution

Image classification
Learning algorithms
Websites
Deep neural networks
Deep learning
1 Citation (Scopus)

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 proceedingConference contribution

Accidents
Sampling
Air traffic control
Electric network analysis
Labels

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 proceedingConference 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 journalArticle

Tensors
Labels
Learning systems
Computational complexity
Entropy

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 journalArticle

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 proceedingConference contribution

Classifiers
Data mining
Learning systems
Labels
Availability
2018

A local algorithm for product return prediction in E-commerce

Zhu, Y., Li, J., He, J., Quanz, B. L. & Deshpande, A. A., Jan 1 2018, Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. Lang, J. (ed.). International Joint Conferences on Artificial Intelligence, Vol. 2018-July. p. 3718-3724 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Electronic commerce
History
Computational complexity
Processing
Costs
1 Citation (Scopus)

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Data privacy
Cost functions
Big data

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.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Electronic commerce
Freight transportation
Data mining
Logistics
Costs

Feature co-shrinking for co-clustering

Tan, Q., Yang, P. & He, J., May 1 2018, In : Pattern Recognition. 77, p. 12-19 8 p.

Research output: Contribution to journalArticle

Feature extraction
Factorization

Function-on-function regression with mode-sparsity regularization

Yang, P., Tan, Q. & He, J., Jan 1 2018, In : ACM Transactions on Knowledge Discovery from Data. 12, 3, 36.

Research output: Contribution to journalArticle

Tensors
Sensor networks
2 Citations (Scopus)

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 journalArticle

Anchors
Experiments
5 Citations (Scopus)

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 journalArticle

Visualization
Network security
Learning algorithms
Medicine
Feedback
1 Citation (Scopus)

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 journalArticle

Open Access
Social Media
Diabetes Mellitus
Social Networking
Self Care
Surveys and Questionnaires
4 Citations (Scopus)

SPARC: Self-paced network representation for few-shot rare category characterization

Zhou, D., He, J., Yang, H. & Fan, W., Jul 19 2018, KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2807-2816 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Labels
Intrusion detection
Computer networks
Fault detection
Curricula
1 Citation (Scopus)

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.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Teaching
Data storage equipment
Labels
Computer aided instruction
Data mining
2017
13 Citations (Scopus)

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, Vol. Part F129685. p. 655-664 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Proteins
Clustering algorithms
Markov processes
Stars
Seed
6 Citations (Scopus)

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. Institute of Electrical and Electronics Engineers Inc., Vol. 2017-November. p. 685-694 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Iterative methods
Tensors
2 Citations (Scopus)

Bi-Level rare temporal pattern detection

Zhou, D., He, J., Cao, Y. & Seo, J., Jan 31 2017, Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016. Institute of Electrical and Electronics Engineers Inc., p. 719-728 10 p. 7837896

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Electrocardiography
Sensor networks
Labels
Wireless networks
2 Citations (Scopus)

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

Nelakurthi, A. R. & He, J., 2017, 31st AAAI Conference on Artificial Intelligence, AAAI 2017. AAAI press, p. 1467-1473 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Factorization
Medical problems
Experiments
2 Citations (Scopus)

Functional regression with mode-sparsity constraint

Yang, P. & He, J., Jan 31 2017, Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016. Institute of Electrical and Electronics Engineers Inc., p. 1311-1316 6 p. 7837991

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sensor networks

Heterogeneous representation learning with separable structured sparsity regularization

Yang, P., Tan, Q., Zhu, Y. & He, J., Aug 9 2017, (Accepted/In press) In : Knowledge and Information Systems. p. 1-24 24 p.

Research output: Contribution to journalArticle

Labels
3 Citations (Scopus)

Heterogeneous representation learning with structured sparsity regularization

Yang, P. & He, J., Jan 31 2017, Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016. Institute of Electrical and Electronics Engineers Inc., p. 539-548 10 p. 7837878

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Labels
Iterative methods
Learning systems
4 Citations (Scopus)

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. Society for Industrial and Applied Mathematics Publications, p. 570-578 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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. Institute of Electrical and Electronics Engineers Inc., Vol. 2017-November. p. 267-276 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Smelting
Aluminum
Data structures
Alumina
Electric potential

Learning from data heterogeneity: Algorithms and applications

He, J., 2017, 26th International Joint Conference on Artificial Intelligence, IJCAI 2017. International Joint Conferences on Artificial Intelligence, p. 5126-5130 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Big data
1 Citation (Scopus)

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. Society for Industrial and Applied Mathematics Publications, p. 714-722 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Smelting
Aluminum
Time series
Temperature
3 Citations (Scopus)

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, Vol. Part F129685. p. 2091-2099 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Display devices
Marketing
Computational complexity
5 Citations (Scopus)

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. Society for Industrial and Applied Mathematics Publications, p. 579-587 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tensors
Labels
Computational complexity
Entropy

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, Vol. Part F129685. p. 1255-1264 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Towards Optimal Connectivity on Multi-layered Networks

Chen, C., He, J., Bliss, N. & Tong, H., Jun 23 2017, (Accepted/In press) In : IEEE Transactions on Knowledge and Data Engineering.

Research output: Contribution to journalArticle

Critical infrastructures
Biological systems
Large scale systems
Cyber Physical System
1 Citation (Scopus)

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. Society for Industrial and Applied Mathematics Publications, p. 471-479 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Human engineering
Monitoring
Experiments
2016
2 Citations (Scopus)

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 journalArticle

Labels
Learning algorithms
Tuning
Genes
2 Citations (Scopus)

A graph-based hybrid framework for modeling complex heterogeneity

Yang, P. & He, J., Jan 5 2016, Proceedings - IEEE International Conference on Data Mining, ICDM. Institute of Electrical and Electronics Engineers Inc., Vol. 2016-January. p. 1081-1086 6 p. 7373439

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Image analysis
Quality control
Brain
4 Citations (Scopus)
Time series
Semiconductor materials
Struts
Probability distributions
Explosions
40 Citations (Scopus)

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

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

Research output: Contribution to journalArticle

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. Institute of Electrical and Electronics Engineers Inc., p. 1660-1663 4 p. 7395882

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Medical problems
Ships
Semantics
14 Citations (Scopus)

Crowdsourcing via tensor augmentation and completion

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

Research output: Contribution to journalArticle

Tensors
Labels
Labeling
Costs
1 Citation (Scopus)

Discovering rare categories from graph streams

Zhou, D., Karthikeyan, A., Wang, K., Cao, N. & He, J., Sep 28 2016, (Accepted/In press) In : Data Mining and Knowledge Discovery. p. 1-24 24 p.

Research output: Contribution to journalArticle

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, p. 368 1 p.

Research output: Contribution to journalComment/debate

Reinforcement learning
Reinforcement Learning
Learning behavior
Sponsored search
2 Citations (Scopus)

Jointly modeling label and feature heterogeneity in medical informatics

Yang, P., Yang, H., Fu, H., Zhou, D., Ye, J., Lappas, T. & He, J., May 1 2016, In : ACM Transactions on Knowledge Discovery from Data. 10, 4, 39.

Research output: Contribution to journalArticle

Labels
Classifiers
Data handling
Medical problems
Image analysis
7 Citations (Scopus)

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

Chen, C., He, J., Bliss, N. & Tong, H., Jan 5 2016, Proceedings - IEEE International Conference on Data Mining, ICDM. Institute of Electrical and Electronics Engineers Inc., Vol. 2016-January. p. 715-720 6 p. 7373378

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Critical infrastructures
Flexible structures
Network layers
Data structures
Cyber Physical System
9 Citations (Scopus)

Rare category detection on time-evolving graphs

Zhou, D., Wang, K., Cao, N. & He, J., Jan 5 2016, Proceedings - IEEE International Conference on Data Mining, ICDM. Institute of Electrical and Electronics Engineers Inc., Vol. 2016-January. p. 1135-1140 6 p. 7373448

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Labeling
Data mining
Costs
2015
13 Citations (Scopus)

A graph-based recommendation across heterogeneous domains

Yang, D., He, J., Qin, H., Xiao, Y. & Wang, W., Oct 17 2015, International Conference on Information and Knowledge Management, Proceedings. Association for Computing Machinery, Vol. 19-23-Oct-2015. p. 463-472 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Graph
Web sites
Overlapping
Diabetes
Movies
8 Citations (Scopus)

Co-clustering based dual prediction for cargo pricing optimization

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Costs
Air
Industry
3 Citations (Scopus)

Co-Clustering Structural Temporal Data with Applications to Semiconductor Manufacturing

Zhu, Y. & He, J., Jan 26 2015, Proceedings - IEEE International Conference on Data Mining, ICDM. January ed. Institute of Electrical and Electronics Engineers Inc., Vol. 2015-January. p. 1121-1126 6 p. 7023457

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Time series
Semiconductor materials
Struts
Probability distributions
Explosions
12 Citations (Scopus)

Hierarchical active transfer learning

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Labels
Problem-Based Learning
5 Citations (Scopus)

Learning complex rare categories with dual heterogeneity

Yang, P., He, J. & Pan, J. Y., 2015, SIAM International Conference on Data Mining 2015, SDM 2015. Society for Industrial and Applied Mathematics Publications, p. 523-531 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Time and motion study
Semiconductor materials
Defects
Big data
6 Citations (Scopus)

Learning from Label and Feature Heterogeneity

Yang, P., He, J., Yang, H. & Fu, H., Jan 26 2015, Proceedings - IEEE International Conference on Data Mining, ICDM. January ed. Institute of Electrical and Electronics Engineers Inc., Vol. 2015-January. p. 1079-1084 6 p. 7023450

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Labels
Classifiers
Data mining
Genes
8 Citations (Scopus)

Model multiple heterogeneity via hierarchical multi-latent space learning

Yang, P. & He, J., Aug 10 2015, Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, Vol. 2015-August. p. 1375-1384 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Labels
Image analysis
Learning algorithms
Genes
Satellites