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ORCIDHamid Palangi
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2020 – today
- 2020
[c10]Luowei Zhou, Hamid Palangi, Lei Zhang, Houdong Hu, Jason J. Corso, Jianfeng Gao:
Unified Vision-Language Pre-Training for Image Captioning and VQA. AAAI 2020: 13041-13049- [c9]Saeed Amizadeh, Hamid Palangi, Alex Polozov, Yichen Huang, Kazuhito Koishida:
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning". ICML 2020: 279-290 - [c8]Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Kenneth D. Forbus, Jianfeng Gao:
Mapping natural-language problems to formal-language solutions using structured neural representations. ICML 2020: 1566-1575 - [i12]Yuhang Song, Wenbo Li, Lei Zhang, Jianwei Yang, Emre Kiciman, Hamid Palangi, Jianfeng Gao, C.-C. Jay Kuo, Pengchuan Zhang:
Novel Human-Object Interaction Detection via Adversarial Domain Generalization. CoRR abs/2005.11406 (2020) - [i11]Saeed Amizadeh, Hamid Palangi, Oleksandr Polozov, Yichen Huang, Kazuhito Koishida:
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning". CoRR abs/2006.11524 (2020) - [i10]Hassan Akbari, Hamid Palangi, Jianwei Yang, Sudha Rao, Asli Celikyilmaz, Roland Fernandez, Paul Smolensky, Jianfeng Gao, Shih-Fu Chang:
Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and Language. CoRR abs/2011.09530 (2020)
2010 – 2019
- 2019
- [i9]Kuang-Huei Lee, Hamid Palangi, Xi Chen, Houdong Hu, Jianfeng Gao:
Learning Visual Relation Priors for Image-Text Matching and Image Captioning with Neural Scene Graph Generators. CoRR abs/1909.09953 (2019) - [i8]Luowei Zhou, Hamid Palangi, Lei Zhang, Houdong Hu, Jason J. Corso, Jianfeng Gao:
Unified Vision-Language Pre-Training for Image Captioning and VQA. CoRR abs/1909.11059 (2019) - [i7]Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Kenneth D. Forbus, Jianfeng Gao:
Natural- to formal-language generation using Tensor Product Representations. CoRR abs/1910.02339 (2019) - [i6]Mehrad Moradshahi, Hamid Palangi, Monica S. Lam, Paul Smolensky, Jianfeng Gao:
HUBERT Untangles BERT to Improve Transfer across NLP Tasks. CoRR abs/1910.12647 (2019) - 2018
- [j5]Yongwei Wang, Hamid Palangi, Z. Jane Wang, Haoqian Wang:
RevHashNet: Perceptually de-hashing real-valued image hashes for similarity retrieval. Signal Process. Image Commun. 68: 68-75 (2018) - [c7]Hamid Palangi, Paul Smolensky, Xiaodong He, Li Deng:
Question-Answering with Grammatically-Interpretable Representations. AAAI 2018: 5350-5357 - [c6]Ramy Hussein, Hamid Palangi, Z. Jane Wang, Rabab K. Ward:
Robust Detection of Epileptic Seizures Using Deep Neural Networks. ICASSP 2018: 2546-2550 - 2017
- [j4]Hamid Palangi, Rabab Kreidieh Ward, Li Deng:
Convolutional Deep Stacking Networks for distributed compressive sensing. Signal Process. 131: 181-189 (2017) - [i5]Hamid Palangi, Paul Smolensky, Xiaodong He, Li Deng:
Deep Learning of Grammatically-Interpretable Representations Through Question-Answering. CoRR abs/1705.08432 (2017) - 2016
- [j3]Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward:
Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval. IEEE ACM Trans. Audio Speech Lang. Process. 24(4): 694-707 (2016) - [j2]Hamid Palangi
, Rabab K. Ward, Li Deng:
Distributed Compressive Sensing: A Deep Learning Approach. IEEE Trans. Signal Process. 64(17): 4504-4518 (2016) - [c5]Hamid Palangi, Rabab Kreidieh Ward, Li Deng:
Reconstruction of sparse vectors in compressive sensing with multiple measurement vectors using bidirectional long short-term memory. GlobalSIP 2016: 192-196 - [c4]Hamid Palangi, Rabab Kreidieh Ward, Li Deng:
Exploiting correlations among channels in distributed compressive sensing with convolutional deep stacking networks. ICASSP 2016: 2692-2696 - 2015
- [i4]Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward:
Deep Sentence Embedding Using the Long Short Term Memory Network: Analysis and Application to Information Retrieval. CoRR abs/1502.06922 (2015) - [i3]Hamid Palangi, Rabab K. Ward, Li Deng:
Distributed Compressive Sensing: A Deep Learning Approach. CoRR abs/1508.04924 (2015) - 2014
- [c3]Hamid Palangi, Li Deng, Rabab K. Ward:
Recurrent Deep-Stacking Networks for sequence classification. ChinaSIP 2014: 510-514 - [i2]Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward:
Semantic Modelling with Long-Short-Term Memory for Information Retrieval. CoRR abs/1412.6629 (2014) - 2013
- [c2]Hamid Palangi, Rabab K. Ward, Li Deng:
Using deep stacking network to improve structured compressed sensing with Multiple Measurement Vectors. ICASSP 2013: 3337-3341 - [i1]Hamid Palangi, Li Deng, Rabab K. Ward:
Learning Input and Recurrent Weight Matrices in Echo State Networks. CoRR abs/1311.2987 (2013) - 2010
- [j1]Mohammad Shams Esfand Abadi, Hamid Palangi:
Mean-square performance analysis of the family of selective partial update and selective regressor affine projection algorithms. Signal Process. 90(1): 197-206 (2010)
2000 – 2009
- 2009
- [c1]Hamid Palangi, Aboozar Ghafari, Massoud Babaie-Zadeh, Christian Jutten:
Image Coding and Compression with Sparse 3D Discrete Cosine Transform. ICA 2009: 532-539
Coauthor Index
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