Hamid Palangi

3.6k total citations · 1 hit paper
32 papers, 971 citations indexed

About

Hamid Palangi is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hamid Palangi has authored 32 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Signal Processing and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hamid Palangi's work include Topic Modeling (12 papers), Blind Source Separation Techniques (7 papers) and Natural Language Processing Techniques (7 papers). Hamid Palangi is often cited by papers focused on Topic Modeling (12 papers), Blind Source Separation Techniques (7 papers) and Natural Language Processing Techniques (7 papers). Hamid Palangi collaborates with scholars based in United States, Canada and United Kingdom. Hamid Palangi's co-authors include Rabab Ward, Jianfeng Gao, Lei Zhang, Houdong Hu, Luowei Zhou, Jason J. Corso, Z. Jane Wang, Li Deng, Ramy Hussein and Paul Smolensky and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and Clinical Neurophysiology.

In The Last Decade

Hamid Palangi

29 papers receiving 936 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Unified Vision-Language Pre-Training for Image Captioning and VQA

2020 499 citations Hamid Palangi et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers

Countries citing papers authored by Hamid Palangi

Since Specialization

Citations

This map shows the geographic impact of Hamid Palangi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hamid Palangi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamid Palangi more than expected).

Fields of papers citing papers by Hamid Palangi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hamid Palangi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hamid Palangi. The network helps show where Hamid Palangi may publish in the future.

Co-authorship network of co-authors of Hamid Palangi

This figure shows the co-authorship network connecting the top 25 collaborators of Hamid Palangi. A scholar is included among the top collaborators of Hamid Palangi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hamid Palangi. Hamid Palangi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving 2025 ·Mihir Parmar, Xin Liu, Palash Goyal, Yanfei Chen, Long Bao Le, Swaroop Mishra, Hossein Mobahi, Jindong Gu, Zifeng Wang, Hootan Nakhost, Chitta Baral, (unknown), (unknown), Hamid Palangi	0
2	In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents 2025 ·(unknown), (unknown), (unknown), (unknown), Zifeng Wang, (unknown), Yong Sang Song, Yanfei Chen, Hamid Palangi, George Lee, Aarti Iyer, Tianlong Chen, Huan Liu, (unknown), Tomas Pfister	1
3	A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia 2024 ·SPIRE - Sciences Po Institutional REpository ·(unknown), Maxime Peyrard, Martin Josifoski, Vishrav Chaudhary, Jason Eisner, Emre Kıcıman, Hamid Palangi, Barun Patra, Robert West	0
4	Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), (unknown), (unknown), Hamid Palangi, (unknown), Sarath Chandar	8
5	An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models 2023 ·Saghar Hosseini, Hamid Palangi, Ahmed Hassan Awadallah	3
6	Gender-tuning: Empowering Fine-tuning for Debiasing Pre-trained Language Models 2023 ·(unknown), Yan Huang, Hamid Palangi, (unknown), (unknown)	7
7	A Large-Scale Robustness Analysis of Video Action Recognition Models 2023 ·(unknown), (unknown), (unknown), Shruti Vyas, Hamid Palangi, Vibhav Vineet, Yogesh Singh Rawat	12
8	ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection 2022 ·Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ·Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, Ece Kamar	2
9	Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization 2021 ·Yichen Jiang, Aslı Çelikyılmaz, Paul Smolensky, (unknown), Sudha Rao, Hamid Palangi, Roland Fernandez, (unknown), Mohit Bansal, Jianfeng Gao	8
10	Optimized deep neural network architecture for robust detection of epileptic seizures using EEG signals 2018 ·Clinical Neurophysiology ·Ramy Hussein, Hamid Palangi, Rabab Ward, Z. Jane Wang	190
11	Question-Answering with Grammatically-Interpretable Representations 2018 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Hamid Palangi, Paul Smolensky, Xiaodong He, Li Deng	19
12	RevHashNet: Perceptually de-hashing real-valued image hashes for similarity retrieval 2018 ·Signal Processing Image Communication ·Yongwei Wang, Hamid Palangi, Z. Jane Wang, Haoqian Wang	8
13	Deep Learning of Grammatically-Interpretable Representations Through Question-Answering. 2017 ·arXiv (Cornell University) ·Hamid Palangi, Paul Smolensky, Xiaodong He, Li Deng	6
14	Grammatically-Interpretable Learned Representations in Deep NLP Models 2017 ·Neural Information Processing Systems ·Hamid Palangi, Qiuyuan Huang, Paul Smolensky, Xiaodong He, Li Deng	1
15	Learning Input and Recurrent Weight Matrices in Echo State Networks 2016 ·Hamid Palangi, (unknown), Rabab Ward	1
16	Reconstruction of sparse vectors in compressive sensing with multiple measurement vectors using bidirectional long short-term memory 2016 ·Hamid Palangi, Rabab Ward, Li Deng	4
17	Using deep stacking network to improve structured compressed sensing with Multiple Measurement Vectors 2013 ·Hamid Palangi, Rabab Ward, Li Deng	10
18	Positioning Error Reduction of a Low-Cost GPS Receiver for Kinematical Applications 2012 ·Arabian Journal for Science and Engineering ·(unknown), Hamid Palangi	3
19	A UNIFIED APPROACH TO SET-MEMBERSHIP AND SELECTIVE PARTIAL UPDATE ADAPTIVE FILTERING ALGORITHMS 2010 ·SHILAP Revista de lepidopterología ·Mohammad Shams Esfand Abadi, Hamid Palangi	1
20	Mean-square performance analysis of the family of selective partial update and selective regressor affine projection algorithms 2009 ·Signal Processing ·Mohammad Shams Esfand Abadi, Hamid Palangi	8

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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