Jingrui He

Asst Professor

  • 1445 Citations
  • 17 h-Index
20042024
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Research Output 2004 2019

  • 1445 Citations
  • 17 h-Index
  • 77 Conference contribution
  • 27 Article
  • 1 Chapter
  • 1 Comment/debate
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Conference contribution
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

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 proceedingConference 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 proceedingConference contribution

Decision support systems
Labels
Gold
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

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 proceedingConference contribution

Supervised learning
Teaching
Agglomeration
Feedback
Costs

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

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 proceedingConference contribution

Labels
Classifiers
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
2 Citations (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
7 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
3 Citations (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
16 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
8 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
3 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
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
8 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
1 Citation (Scopus)

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

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 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

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
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
14 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
4 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
9 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
16 Citations (Scopus)

MUVIR: Multi-view rare category detection

Zhou, D., He, J., Candan, K. & Davulcu, H., 2015, IJCAI International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence, Vol. 2015-January. p. 4098-4104 7 p.

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

2014
12 Citations (Scopus)

Learning with dual heterogeneity: A nonparametric Bayes model

Yang, H. & He, J., 2014, Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 582-590 9 p.

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

Image classification
Data mining
11 Citations (Scopus)

Linking heterogeneous input spaces with pivots for multi-task learning

He, J., Liu, Y. & Yang, Q., 2014, SIAM International Conference on Data Mining 2014, SDM 2014. Society for Industrial and Applied Mathematics Publications, Vol. 1. p. 181-189 9 p.

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

2013
54 Citations (Scopus)

Improving traffic prediction with tweet semantics

He, J., Shen, W., Divakaruni, P., Wynter, L. & Lawrence, R., 2013, IJCAI International Joint Conference on Artificial Intelligence. p. 1387-1393 7 p.

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

Semantics
Linear regression
22 Citations (Scopus)

MI2LS: Multi-instance learning from multiple information sources

Zhang, D., He, J. & Lawrence, R. D., Aug 11 2013, KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, Vol. Part F128815. p. 149-157 9 p. 2487651

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

Convex optimization
8 Citations (Scopus)

MILEAGE: Multiple Instance LEArning with Global Embedding

Zhang, D., He, J., Si, L. & Lawrence, R. D., 2013, 30th International Conference on Machine Learning, ICML 2013. PART 2 ed. International Machine Learning Society (IMLS), p. 1119-1127 9 p.

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

learning
Classifiers
learning method
Experiments
scenario
2012
6 Citations (Scopus)

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

Chen, X., He, J., Lawrence, R. & Carbonell, J. G., 2012, Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012. p. 212-223 12 p.

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

Brain
Semantics
Magnetic Resonance Imaging
15 Citations (Scopus)

GenDeR: A generic diversified ranking algorithm

He, J., Tong, H., Mei, Q. & Szymanski, B. K., 2012, Advances in Neural Information Processing Systems. Vol. 2. p. 1142-1150 9 p.

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

Information retrieval
Learning systems
3 Citations (Scopus)

Hierarchical modeling with tensor inputs

Zhu, Y., He, J. & Lawrence, R., 2012, Proceedings of the National Conference on Artificial Intelligence. Vol. 2. p. 1233-1239 7 p.

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

Tensors
Semiconductor materials
Face recognition
Computer vision
6 Citations (Scopus)

Hierarchical multi-task learning with application to wafer quality prediction

He, J. & Zhu, Y., 2012, Proceedings - IEEE International Conference on Data Mining, ICDM. p. 290-298 9 p. 6413894

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

Semiconductor materials

Virtual metrology and run-to-run control in semiconductor manufacturing

Zhu, Y., Baseman, R. J., He, J., Restaino, D. D. & Yashchin, E., 2012, Proceedings - 18th ISSAT International Conference on Reliability and Quality in Design. p. 374-378 5 p.

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

Semiconductor materials
Tensors
Process monitoring
Feedback control
Quality control
2011
84 Citations (Scopus)

A graph-based framework for multi-task multi-view learning

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

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

Hilbert spaces
Learning algorithms
learning