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2020 – today
- 2022
[j10]Qian Wang, Wenxia Chen, Haiyun Peng:
An intelligent image detection method using improved canny edge detection operator. Int. J. Inf. Technol. Manag. 21(4): 369-381 (2022)- 2021
- [j9]Haiyun Peng, Yukun Ma, Soujanya Poria
, Yang Li, Erik Cambria:
Phonetic-enriched text representation for Chinese sentiment analysis with reinforcement learning. Inf. Fusion 70: 88-99 (2021) - [c9]Wenxuan Zhang, Ruidan He, Haiyun Peng, Lidong Bing, Wai Lam:
Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching. EMNLP (1) 2021: 9220-9230 - 2020
- [j8]Haotian Xu, Haiyun Peng, Haoran Xie, Erik Cambria, Liuyang Zhou, Weiguo Zheng:
End-to-End latent-variable task-oriented dialogue system with exact log-likelihood optimization. World Wide Web 23(3): 1989-2002 (2020) - [c8]Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, Luo Si:
Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis. AAAI 2020: 8600-8607
2010 – 2019
- 2019
- [b1]Haiyun Peng:
Linguistic-inspired Chinese sentiment analysis : from characters to radicals and phonetics. Nanyang Technological University, Singapore, 2019 - [j7]Navonil Majumder, Soujanya Poria, Haiyun Peng, Niyati Chhaya, Erik Cambria, Alexander F. Gelbukh:
Sentiment and Sarcasm Classification With Multitask Learning. IEEE Intell. Syst. 34(3): 38-43 (2019) - [j6]Yang Li, Quan Pan, Suhang Wang, Haiyun Peng, Tao Yang, Erik Cambria:
Disentangled Variational Auto-Encoder for semi-supervised learning. Inf. Sci. 482: 73-85 (2019) - [j5]Yang Li, Suhang Wang, Quan Pan, Haiyun Peng, Tao Yang, Erik Cambria:
Learning binary codes with neural collaborative filtering for efficient recommendation systems. Knowl. Based Syst. 172: 64-75 (2019) - [c7]Wei Zhao, Haiyun Peng, Steffen Eger, Erik Cambria, Min Yang:
Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications. ACL (1) 2019: 1549-1559 - [c6]Jun Zhang, Ping-ping Xia, Juan Zhang, Haiyun Peng:
A healthy node selection method based on particle swarm optimization under network intrusion environment. ACM TUR-C 2019: 118:1-118:7 - [c5]Haiyun Peng, Soujanya Poria, Yang Li, Erik Cambria:
Fusing Phonetic Features and Chinese Character Representation for Sentiment Analysis. CICLing (2) 2019: 151-165 - [i5]Haiyun Peng, Yukun Ma, Soujanya Poria, Yang Li, Erik Cambria:
Phonetic-enriched Text Representation for Chinese Sentiment Analysis with Reinforcement Learning. CoRR abs/1901.07880 (2019) - [i4]Navonil Majumder, Soujanya Poria, Haiyun Peng, Niyati Chhaya, Erik Cambria, Alexander F. Gelbukh:
Sentiment and Sarcasm Classification with Multitask Learning. CoRR abs/1901.08014 (2019) - [i3]Wei Zhao, Haiyun Peng, Steffen Eger, Erik Cambria, Min Yang:
Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications. CoRR abs/1906.02829 (2019) - [i2]Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, Luo Si:
Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis. CoRR abs/1911.01616 (2019) - 2018
- [j4]Yukun Ma, Haiyun Peng, Tahir Khan, Erik Cambria, Amir Hussain:
Sentic LSTM: a Hybrid Network for Targeted Aspect-Based Sentiment Analysis. Cogn. Comput. 10(4): 639-650 (2018) - [j3]Haiyun Peng, Yukun Ma, Yang Li, Erik Cambria:
Learning multi-grained aspect target sequence for Chinese sentiment analysis. Knowl. Based Syst. 148: 167-176 (2018) - [c4]Yukun Ma, Haiyun Peng, Erik Cambria:
Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM. AAAI 2018: 5876-5883 - [c3]David Vilares, Haiyun Peng, Ranjan Satapathy, Erik Cambria:
BabelSenticNet: A Commonsense Reasoning Framework for Multilingual Sentiment Analysis. SSCI 2018: 1292-1298 - 2017
- [j2]Haiyun Peng, Erik Cambria, Amir Hussain:
A Review of Sentiment Analysis Research in Chinese Language. Cogn. Comput. 9(4): 423-435 (2017) - [j1]Soujanya Poria, Haiyun Peng, Amir Hussain, Newton Howard, Erik Cambria:
Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis. Neurocomputing 261: 217-230 (2017) - [c2]Haiyun Peng, Erik Cambria:
CSenticNet: A Concept-Level Resource for Sentiment Analysis in Chinese Language. CICLing (2) 2017: 90-104 - [c1]Haiyun Peng, Erik Cambria, Xiaomei Zou:
Radical-Based Hierarchical Embeddings for Chinese Sentiment Analysis at Sentence Level. FLAIRS 2017: 347-352 - [i1]Yang Li, Quan Pan, Suhang Wang, Haiyun Peng, Tao Yang, Erik Cambria:
Disentangled Variational Auto-Encoder for Semi-supervised Learning. CoRR abs/1709.05047 (2017)
Coauthor Index
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