Hai Pham

864 total citations · 1 hit paper
13 papers, 462 citations indexed

About

Hai Pham is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Hai Pham has authored 13 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Hai Pham's work include Face recognition and analysis (7 papers), Multimodal Machine Learning Applications (4 papers) and Speech and Audio Processing (3 papers). Hai Pham is often cited by papers focused on Face recognition and analysis (7 papers), Multimodal Machine Learning Applications (4 papers) and Speech and Audio Processing (3 papers). Hai Pham collaborates with scholars based in United States, Netherlands and Singapore. Hai Pham's co-authors include Barnabás Póczos, Thomas Manzini, Paul Pu Liang, Louis–Philippe Morency, Vladimir Pavlović, Samuel Cheung, Yuting Wang, Ricardo Guerrero, Jiatong Li and Tat‐Jen Cham and has published in prestigious journals such as IEEE Transactions on Affective Computing, Journal of Visual Communication and Image Representation and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Hai Pham

12 papers receiving 448 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.

Found in Translation: Learning Robust Joint Representations by Cyclic Translations between Modalities

2019 272 citations Hai Pham, Paul Pu Liang et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Hai Pham United States	8	283	227	135	125	40	13	462
Najmeh Sadoughi United States	9	258 0.9×	106 0.5×	166 1.2×	205 1.6×	38 0.9×	14	431
Thomas Manzini United States	5	282 1.0×	114 0.5×	80 0.6×	115 0.9×	11 0.3×	14	364
Licai Sun China	11	270 1.0×	140 0.6×	115 0.9×	250 2.0×	10 0.3×	21	482
Roman Jarina Slovakia	11	146 0.5×	153 0.7×	248 1.8×	110 0.9×	18 0.5×	57	445
Xinzhou Xu China	11	250 0.9×	115 0.5×	235 1.7×	287 2.3×	17 0.4×	34	491
Wenmeng Yu China	4	580 2.0×	211 0.9×	152 1.1×	267 2.1×	12 0.3×	6	757
France Mihelič Slovenia	11	195 0.7×	103 0.5×	141 1.0×	98 0.8×	18 0.5×	36	347
Shozo Makino Japan	11	267 0.9×	112 0.5×	269 2.0×	70 0.6×	17 0.4×	90	453
Prithviraj Kabisatpathy India	7	107 0.4×	51 0.2×	165 1.2×	193 1.5×	29 0.7×	15	367
Zhaojiang Lin Hong Kong	13	587 2.1×	254 1.1×	79 0.6×	39 0.3×	53 1.3×	29	766

Countries citing papers authored by Hai Pham

Since Specialization

Citations

This map shows the geographic impact of Hai Pham'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 Hai Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Pham more than expected).

Fields of papers citing papers by Hai Pham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai Pham. 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 Hai Pham. The network helps show where Hai Pham may publish in the future.

Co-authorship network of co-authors of Hai Pham

This figure shows the co-authorship network connecting the top 25 collaborators of Hai Pham. A scholar is included among the top collaborators of Hai Pham 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 Hai Pham. Hai Pham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

1.

Pham, Hai, Young Jin Kim, Subhabrata Mukherjee, et al.. (2023). Task-Based MoE for Multitask Multilingual Machine Translation. 164–172. 1 indexed citations

2.

Guerrero, Ricardo, Hai Pham, & Vladimir Pavlović. (2021). Cross-modal Retrieval and Synthesis (X-MRS): Closing the Modality Gap in Shared Subspace Learning. 3192–3201. 18 indexed citations

3.

Pham, Hai, Ricardo Guerrero, Vladimir Pavlović, & Jiatong Li. (2021). CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval. Proceedings of the AAAI Conference on Artificial Intelligence. 35(3). 2423–2430. 11 indexed citations

4.

Pham, Hai, Yuting Wang, & Vladimir Pavlović. (2020). Learning Continuous Facial Actions From Speech for Real-Time Animation. IEEE Transactions on Affective Computing. 13(3). 1567–1580.

5.

Pham, Hai, et al.. (2020). Robust Handwriting Recognition with Limited and Noisy Data. 301–306. 4 indexed citations

6.

Pham, Hai, Paul Pu Liang, Thomas Manzini, Louis–Philippe Morency, & Barnabás Póczos. (2019). Found in Translation: Learning Robust Joint Representations by Cyclic Translations between Modalities. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 6892–6899. 272 indexed citations breakdown →

7.

Pham, Hai, Thomas Manzini, Paul Pu Liang, & Barnabás Póczos. (2018). Seq2Seq2Sentiment: Multimodal Sequence to Sequence Models for Sentiment Analysis. 53–63. 51 indexed citations

8.

Pham, Hai, Yuting Wang, & Vladimir Pavlović. (2018). End-to-end Learning for 3D Facial Animation from Speech. 361–365. 30 indexed citations

9.

Pham, Hai, Samuel Cheung, & Vladimir Pavlović. (2017). Speech-Driven 3D Facial Animation with Implicit Emotional Awareness: A Deep Learning Approach. 2328–2336. 53 indexed citations

10.

Pham, Hai, Vladimir Pavlović, Jianfei Cai, et al.. (2017). Using 3D face priors for depth recovery. Journal of Visual Communication and Image Representation. 48. 16–29. 3 indexed citations

11.

Pham, Hai & Vladimir Pavlović. (2016). Robust Real-Time 3D Face Tracking from RGBD Videos under Extreme Pose, Depth, and Expression Variation. 2. 441–449. 7 indexed citations

12.

Pham, Hai, Vladimir Pavlović, Jianfei Cai, & Tat‐Jen Cham. (2016). Robust real-time performance-driven 3D face tracking. 1851–1856. 8 indexed citations

13.

Pham, Hai & Vladimir Pavlović. (2014). Hybrid On-Line 3D Face and Facial Actions Tracking in RGBD Video Sequences. 4194–4199. 4 indexed citations

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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