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ORCIDJing Peng 0001
Person information
- affiliation: Montclair State University, NJ, USA
Other persons with the same name
- Jing Peng — disambiguation page
Other persons with a similar name
- Peng Jing
- Peng-Jie Jing
- Weipeng Jing (aka: Wei Peng Jing, Wei-Peng Jing) — disambiguation page
- Weipeng Jing 0001
![[0000-0001-7933-6946]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-7933-6946")
(aka: Wei Peng Jing 0001) — Key Laboratory of Forestry Data Science and Cloud Computing of State Forestry Adiminstration, China (and 2 more) - Jing-Chen Peng
- Jing-Jing Peng
- Jing-Wei Peng
- Jing-Wen Peng
- Jing-Xuan Peng
- Jing-Peng Wang
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2020 – today
- 2024
[c50]Patrick Lee, Alain Chirino Trujillo, Diana Cuevas Plancarte, Olumide E. Ojo, Xinyi Liu, Iyanuoluwa Shode, Yuan Zhao, Anna Feldman, Jing Peng:
MEDs for PETs: Multilingual Euphemism Disambiguation for Potentially Euphemistic Terms. EACL (Findings) 2024: 875-881- [i9]Patrick Lee, Alain Chirino Trujillo, Diana Cuevas Plancarte, Olumide Ebenezer Ojo, Xinyi Liu, Iyanuoluwa Shode, Yuan Zhao, Jing Peng, Anna Feldman:
MEDs for PETs: Multilingual Euphemism Disambiguation for Potentially Euphemistic Terms. CoRR abs/2401.14526 (2024) - 2023
- [c49]Iyanuoluwa Shode, David Ifeoluwa Adelani, Jing Peng, Anna Feldman:
NollySenti: Leveraging Transfer Learning and Machine Translation for Nigerian Movie Sentiment Classification. ACL (2) 2023: 986-998 - [c48]Patrick Lee, Iyanuoluwa Shode, Alain Chirino Trujillo, Yuan Zhao, Olumide E. Ojo, Diana Cuevas Plancarte, Anna Feldman, Jing Peng:
FEED PETs: Further Experimentation and Expansion on the Disambiguation of Potentially Euphemistic Terms. *SEM@ACL 2023: 437-448 - [i8]Iyanuoluwa Shode, David Ifeoluwa Adelani, Jing Peng, Anna Feldman:
NollySenti: Leveraging Transfer Learning and Machine Translation for Nigerian Movie Sentiment Classification. CoRR abs/2305.10971 (2023) - [i7]Patrick Lee, Iyanuoluwa Shode, Alain Chirino Trujillo, Yuan Zhao, Olumide Ebenezer Ojo, Diana Cuevas Plancarte, Anna Feldman, Jing Peng:
FEED PETs: Further Experimentation and Expansion on the Disambiguation of Potentially Euphemistic Terms. CoRR abs/2306.00217 (2023) - 2022
- [c47]Martha Gavidia, Patrick Lee, Anna Feldman, Jing Peng:
CATs are Fuzzy PETs: A Corpus and Analysis of Potentially Euphemistic Terms. LREC 2022: 2658-2671 - [i6]Martha Gavidia, Patrick Lee, Anna Feldman, Jing Peng:
CATs are Fuzzy PETs: A Corpus and Analysis of Potentially Euphemistic Terms. CoRR abs/2205.02728 (2022) - [i5]Patrick Lee, Martha Gavidia, Anna Feldman, Jing Peng:
Searching for PETs: Using Distributional and Sentiment-Based Methods to Find Potentially Euphemistic Terms. CoRR abs/2205.10451 (2022) - [i4]Patrick Lee, Anna Feldman, Jing Peng:
A Report on the Euphemisms Detection Shared Task. CoRR abs/2211.13327 (2022) - 2020
- [j8]Jing Peng, Alex J. Aved:
Regularized Information Preserving Projections. IEEE Trans. Aerosp. Electron. Syst. 56(5): 3868-3877 (2020) - [c46]Kei Yin Ng, Anna Feldman, Jing Peng:
Linguistic Fingerprints of Internet Censorship: The Case of Sina Weibo. AAAI 2020: 446-453 - [c45]Martina Ducret, Lauren Kruse, Carlos Martinez, Anna Feldman, Jing Peng:
Linguistic Features in Automatic Sarcasm Detection. CLiC-it 2020 - [c44]Jing Peng, Alex J. Aved:
Information Preserving Discriminant Projections. ICAART (2) 2020: 162-171 - [c43]Jing Peng, Alex J. Aved:
Learning Latent Variable Models with Discriminant Regularization. ICAART (Revised Selected Papers) 2020: 378-398 - [i3]Kei Yin Ng, Anna Feldman, Jing Peng:
Linguistic Fingerprints of Internet Censorship: the Case of SinaWeibo. CoRR abs/2001.08845 (2020)
2010 – 2019
- 2018
- [j7]Jing Peng, Alex J. Aved, Guna Seetharaman, Kannappan Palaniappan:
Multiview Boosting With Information Propagation for Classification. IEEE Trans. Neural Networks Learn. Syst. 29(3): 657-669 (2018) - [c42]Jing Peng, Katsiaryna Aharodnik, Anna Feldman:
A Distributional Semantics Model for Idiom Detection - The Case of English and Russian. ICAART (2) 2018: 675-682 - [c41]Katsiaryna Aharodnik, Anna Feldman, Jing Peng:
Designing a Russian Idiom-Annotated Corpus. LREC 2018 - [p1]Jing Peng, Peng Zhang:
Parzen Windows: Simplest Regularization Algorithm. Handbook of Dynamic Data Driven Applications Systems 2018: 655-676 - [i2]Jing Peng, Anna Feldman, Ekaterina Vylomova:
Classifying Idiomatic and Literal Expressions Using Topic Models and Intensity of Emotions. CoRR abs/1802.09961 (2018) - [i1]Kei Yin Ng, Anna Feldman, Jing Peng, Chris Leberknight:
Linguistic Characteristics of Censorable Language on SinaWeibo. CoRR abs/1807.03654 (2018) - 2017
- [j6]Alex J. Aved, Erik Philip Blasch, Jing Peng:
Regularized Difference Criterion for Computing Discriminants for Dimensionality Reduction. IEEE Trans. Aerosp. Electron. Syst. 53(5): 2372-2384 (2017) - [c40]Manali Pradhan, Jing Peng, Anna Feldman, Bianca Wright:
Idioms: Humans or Machines, It's All About Context. CICLing (1) 2017: 291-304 - 2016
- [c39]Jing Peng, Anna Feldman:
Experiments in Idiom Recognition. COLING 2016: 2752-2761 - [c38]Jing Peng, Alex J. Aved:
Mining Best Strategy for Multi-view Classification. DMBD 2016: 270-275 - [c37]Jing Peng, Anna Feldman:
Automatic Idiom Recognition with Word Embeddings. SIMBig (Revised Selected Papers) 2016: 17-29 - [c36]Jing Peng, Anna Feldman:
In God We Trust. All Others Must Bring Data. - W. Edwards Deming. Using Word Embeddings to Recognize Idioms. SIMBig 2016: 96-102 - 2015
- [j5]Xian Wu, Wei Fan, Jing Peng, Kun Zhang, Yong Yu:
Iterative sampling based frequent itemset mining for big data. Int. J. Mach. Learn. Cybern. 6(6): 875-882 (2015) - [j4]Alan Varghese, Aparna S. Varde, Jing Peng, Eileen Fitzpatrick:
A Framework for Collocation Error Correction in Web Pages and Text Documents. SIGKDD Explor. 17(1): 14-23 (2015) - [c35]Jing Peng, Anna Feldman, Hamza Jazmati:
Classifying Idiomatic and Literal Expressions Using Vector Space Representations. RANLP 2015: 507-511 - 2014
- [c34]Jing Peng, Guna Seetharaman:
On Parzen windows classifiers. AIPR 2014: 1-4 - [c33]Jing Peng, Anna Feldman, Ekaterina Vylomova:
Classifying Idiomatic and Literal Expressions Using Topic Models and Intensity of Emotions. EMNLP 2014: 2019-2027 - 2013
- [j3]Jing Peng, Guna Seetharaman, Wei Fan, Aparna S. Varde:
Exploiting fisher and fukunaga-koontz transforms in chernoff dimensionality reduction. ACM Trans. Knowl. Discov. Data 7(2): 8:1-8:25 (2013) - [c32]Jing Peng, Guna Seetharaman:
Combining the advice of experts with randomized boosting for robust pattern recognition. AIPR 2013: 1-7 - [c31]Anna Feldman, Jing Peng:
Automatic Detection of Idiomatic Clauses. CICLing (1) 2013: 435-446 - 2012
- [c30]Ilker Ersoy, Filiz Bunyak, Jing Peng, Kannappan Palaniappan:
HEp-2 cell classification in IIF images using Shareboost. ICPR 2012: 3362-3365 - [c29]Jing Peng, Kannappan Palaniappan, Sema Candemir, Guna Seetharaman:
KL based data fusion for target tracking. ICPR 2012: 3480-3483 - [c28]Jing Peng, Guna Seetharaman:
Margin based likelihood map fusion for target tracking. IGARSS 2012: 2292-2295 - [c27]Jing Peng, Guna Seetharaman:
Chernoff distance and Relief feature selection. IGARSS 2012: 3493-3496 - 2011
- [c26]Jing Peng, Costin Barbu, Guna Seetharaman, Wei Fan, Xian Wu, Kannappan Palaniappan:
ShareBoost: Boosting for Multi-view Learning with Performance Guarantees. ECML/PKDD (2) 2011: 597-612 - [c25]Jing Peng, Guna Seetharaman, Stefan A. Robila, Aparna S. Varde, Wei Fan:
Chernoff Dimensionality Reduction-Where Fisher Meets FKT. SDM 2011: 271-282 - 2010
- [c24]Amal Chaminda Kaluarachchi, Aparna S. Varde, Jing Peng, Anna Feldman:
Intelligent Time-Aware Query Translation for Text Sources. AAAI 2010: 1935-1936 - [c23]Amal Chaminda Kaluarachchi, Aparna S. Varde, Srikanta J. Bedathur, Gerhard Weikum, Jing Peng, Anna Feldman:
Incorporating terminology evolution for query translation in text retrieval with association rules. CIKM 2010: 1789-1792 - [c22]Aliva M. Pradhan, Aparna S. Varde, Jing Peng, Eileen Fitzpatrick:
Automatic Classification of Article Errors in L2 Written English. FLAIRS 2010 - [c21]Costin Barbu, Jing Peng, Guna Seetharaman:
Boosting information fusion. FUSION 2010: 1-8 - [c20]Wei Fan, Erheng Zhong, Jing Peng, Olivier Verscheure, Kun Zhang, Jiangtao Ren, Rong Yan, Qiang Yang:
Generalized and Heuristic-Free Feature Construction for Improved Accuracy. SDM 2010: 629-640 - [c19]Jing Peng, Stefan A. Robila, Wei Fan, Guna Seetharaman:
Analysis of Chernoff criterion for linear dimensionality reduction. SMC 2010: 3014-3021 - [c18]Hiroki Yamakawa, Jing Peng, Anna Feldman:
Semantic enrichment of text representation with wikipedia for text classification. SMC 2010: 4333-4340
2000 – 2009
- 2009
- [c17]Erheng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiangtao Ren, Deepak S. Turaga, Olivier Verscheure:
Cross domain distribution adaptation via kernel mapping. KDD 2009: 1027-1036 - [c16]Erheng Zhong, Wei Fan, Jing Peng, Olivier Verscheure, Jiangtao Ren:
Universal Learning over Related Distributions and Adaptive Graph Transduction. ECML/PKDD (2) 2009: 678-693 - [c15]Sihong Xie, Wei Fan, Jing Peng, Olivier Verscheure, Jiangtao Ren:
Latent space domain transfer between high dimensional overlapping distributions. WWW 2009: 91-100 - 2008
- [j2]Jing Peng, Peng Zhang, Norbert Riedel:
Discriminant Learning Analysis. IEEE Trans. Syst. Man Cybern. Part B 38(6): 1614-1625 (2008) - [c14]ErHeng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, Jing Peng, Kun Zhang:
Graph-Based Iterative Hybrid Feature Selection. ICDM 2008: 1133-1138 - [c13]Salman Siddiqui, Stefan A. Robila, Jing Peng, Dajin Wang:
Sparse Representations for Hyperspectral Data Classification. IGARSS (2) 2008: 577-580 - 2007
- [c12]Jing Peng, Stefan A. Robila:
Weighted Additive Criterion for Linear Dimension Reduction. ICDM 2007: 619-624 - 2006
- [c11]Peng Zhang, Jing Peng, Bill P. Buckles:
Learning Optimal Filter Representation for Texture Classification. ICPR (2) 2006: 1138-1141 - 2005
- [j1]Peng Zhang, Jing Peng, Carlotta Domeniconi:
Kernel pooled local subspaces for classification. IEEE Trans. Syst. Man Cybern. Part B 35(3): 489-502 (2005) - [c10]Peng Zhang, Jing Peng, Norbert Riedel:
Finite Sample Error Bound for Parzen Windows. AAAI 2005: 925-931 - [c9]Peng Zhang, Jing Peng, Norbert Riedel:
Discriminant Analysis: A Least Squares Approximation View. CVPR Workshops 2005: 46 - [c8]Kun Zhang, Zujia Xu, Jing Peng, Bill P. Buckles:
Learning through Changes: An Empirical Study of Dynamic Behaviors of Probability Estimation Trees. ICDM 2005: 817-820 - [c7]Costin Barbu, Kun Zhang, Jing Peng, Bill P. Buckles:
Boosting in classifier fusion vs. fusing boosted classifiers. IRI 2005: 332-337 - 2004
- [c6]Peng Zhang, Jing Peng:
Efficient Regularized Least Squares Classification. CVPR Workshops 2004: 98 - [c5]Peng Zhang, Jing Peng:
SVM vs Regularized Least Squares Classification. ICPR (1) 2004: 176-179 - 2003
- [c4]Peng Zhang, Jing Peng, Carlotta Domeniconi:
Kernel Pooled Local Subspaces for Classification. CVPR Workshops 2003: 63 - [c3]Xiaojing Yuan, Xiaohui Yuan, Fan Yang, Jing Peng, Bill P. Buckles:
Gene Expression Classification: Decision Trees vs. SVMs. FLAIRS 2003: 92-97 - [c2]Peng Zhang, Jing Peng, Carlotta Domeniconi:
Dimensionality Reduction Using Kernel Pooled Local Discriminant Information. ICDM 2003: 701-704 - 2002
- [c1]Ibrahim Gokcen, Jing Peng, Bill P. Buckles:
Active Learning Using One-class Classification. HIS 2002: 280-289
Coauthor Index
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