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Reinforcement learning and its applications to control and multi-agent systems is where Dr. Jing Peng's doctoral studies originated. In general terms, reinforcement learning is concerned with computational approaches to learning from reward. Here he considers how a learning agent can learn as quickly as possible from limited interaction with other agents and its environment.
Image retrieval, in particular content-based retrieval where he considers indexing schemes that allow flexible retrieval metrics to be created on the fly so that very large databases can be accessed efficiently and accurately.
Classification and data mining, is where he is particularly interested in adaptive metric nearest-neighbor techniques and compact subspace representation for building robust classifiers from limited training data.
Research interests
Classification and Data Mining
Scholarly Interests
Adaptive metric nearest-neighbor techniques and compact subspace representation for building robust classifiers from limited training data.
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Collaborations and top research areas from the last five years
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RI: Small: DaRE: Detection and Recognition of Euphemisms
Peng, J. (CoPI) & Feldman, A. (PI)
1/01/23 → 31/12/25
Project: Research
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RI: Small: RUI: AIR: Automatic Idiom Recognition
Feldman, A. (PI) & Peng, J. (CoPI)
1/08/13 → 31/01/18
Project: Research
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Montclair REU Site in Imaging and Computer Vision (iMagine)
Robila, S. (PI) & Peng, J. (CoPI)
1/04/10 → 31/03/14
Project: Research
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Computational Intelligence Based Power Systems Operation
Singh, B. N. B. N. (PI), Peng, J. (CoPI) & Simina, M. M. (CoPI)
1/07/04 → 30/06/09
Project: Research
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SGER: Flexible Index Structure for Relevance Feedback Content-Based Retrieval in Large Image Databases
Peng, J. (PI) & Heisterkamp, D. R. (CoPI)
1/11/01 → 30/11/02
Project: Research
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MEDs for PETs: Multilingual Euphemism Disambiguation for Potentially Euphemistic Terms
Lee, P., Trujillo, A. C., Plancarte, D. C., Ojo, O. E., Liu, X., Shode, I., Zhao, Y., Peng, J. & Feldman, A., 2024, EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2024. Graham, Y., Purver, M. & Purver, M. (eds.). Association for Computational Linguistics (ACL), p. 875-881 7 p. (EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
FEED PETs: Further Experimentation and Expansion on the Disambiguation of Potentially Euphemistic Terms
Lee, P., Shode, I., Trujillo, A. C., Zhao, Y., Ojo, O. E., Plancarte, D. C., Feldman, A. & Peng, J., 2023, StarSEM 2023 - 12th Joint Conference on Lexical and Computational Semantics, Proceedings of the Conference. Palmer, A. & Camacho-Collados, J. (eds.). Association for Computational Linguistics (ACL), p. 437-448 12 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
3 Scopus citations -
A Report on the Euphemisms Detection Shared Task
Lee, P., Feldman, A. & Peng, J., 2022, FLP 2022 - 3rd Workshop on Figurative Language Processing, Proceedings of the Workshop. Association for Computational Linguistics (ACL), p. 184-190 7 p. (FLP 2022 - 3rd Workshop on Figurative Language Processing, Proceedings of the Workshop).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access3 Scopus citations -
CATs are Fuzzy PETs: A Corpus and Analysis of Potentially Euphemistic Terms
Gavidia, M., Lee, P., Feldman, A. & Peng, J., 2022, 2022 Language Resources and Evaluation Conference, LREC 2022. Calzolari, N., Bechet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Odijk, J. & Piperidis, S. (eds.). European Language Resources Association (ELRA), p. 2658-2671 14 p. (2022 Language Resources and Evaluation Conference, LREC 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
8 Scopus citations -
Parzen Windows: Simplest Regularization Algorithm
Peng, J. & Zhang, P., 1 Jan 2022, Handbook of Dynamic Data Driven Applications Systems: Volume 1: Second Edition. Springer International Publishing, Vol. 1. p. 671-692 22 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review