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Jia-Hong Huang
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2020 – today
- 2024
- [c22]Jia-Hong Huang, Chao-Chun Yang, Yixian Shen, Alessio M. Pacces, Evangelos Kanoulas:
Optimizing Numerical Estimation and Operational Efficiency in the Legal Domain through Large Language Models. CIKM 2024: 4554-4562 - [c21]Weijia Zhang, Vaishali Pal, Jia-Hong Huang, Evangelos Kanoulas, Maarten de Rijke:
QFMTS: Generating Query-Focused Summaries over Multi-Table Inputs. ECAI 2024: 3875-3882 - [c20]Weijia Zhang, Mohammad Aliannejadi, Yifei Yuan, Jiahuan Pei, Jia-Hong Huang, Evangelos Kanoulas:
Towards Fine-Grained Citation Evaluation in Generated Text: A Comparative Analysis of Faithfulness Metrics. INLG 2024: 427-439 - [c19]Jia-Hong Huang, Hongyi Zhu, Yixian Shen, Stevan Rudinac, Alessio M. Pacces, Evangelos Kanoulas:
A Novel Evaluation Framework for Image2Text Generation. LLM4Eval@SIGIR 2024: 51-65 - [c18]Hongyi Zhu
, Jia-Hong Huang
Enhancing Interactive Image Retrieval With Query Rewriting Using Large Language Models and Vision Language Models. ICMR 2024: 978-987 - [c17]Jia-Hong Huang
Multi-modal Video Summarization. ICMR 2024: 1214-1218 - [i28]Hongyi Zhu, Jia-Hong Huang, Stevan Rudinac, Evangelos Kanoulas:
Enhancing Interactive Image Retrieval With Query Rewriting Using Large Language Models and Vision Language Models. CoRR abs/2404.18746 (2024) - [i27]Weijia Zhang, Vaishali Pal, Jia-Hong Huang, Evangelos Kanoulas, Maarten de Rijke:
QFMTS: Generating Query-Focused Summaries over Multi-Table Inputs. CoRR abs/2405.05109 (2024) - [i26]Shuai Wang, David W. Zhang, Jia-Hong Huang, Stevan Rudinac, Monika Kackovic, Nachoem Wijnberg, Marcel Worring:
Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks. CoRR abs/2405.13372 (2024) - [i25]Weijia Zhang, Mohammad Aliannejadi, Yifei Yuan, Jiahuan Pei, Jia-Hong Huang, Evangelos Kanoulas:
Towards Fine-Grained Citation Evaluation in Generated Text: A Comparative Analysis of Faithfulness Metrics. CoRR abs/2406.15264 (2024) - [i24]Jia-Hong Huang, Chao-Chun Yang, Yixian Shen, Alessio M. Pacces, Evangelos Kanoulas:
Optimizing Numerical Estimation and Operational Efficiency in the Legal Domain through Large Language Models. CoRR abs/2407.19041 (2024) - [i23]Jia-Hong Huang, Hongyi Zhu, Yixian Shen, Stevan Rudinac, Alessio M. Pacces, Evangelos Kanoulas:
A Novel Evaluation Framework for Image2Text Generation. CoRR abs/2408.01723 (2024) - [i22]Jia-Hong Huang:
Automated Retinal Image Analysis and Medical Report Generation through Deep Learning. CoRR abs/2408.07349 (2024) - [i21]Weijia Zhang, Jia-Hong Huang, Svitlana Vakulenko, Yumo Xu, Thilina Rajapakse, Evangelos Kanoulas:
Beyond Relevant Documents: A Knowledge-Intensive Approach for Query-Focused Summarization using Large Language Models. CoRR abs/2408.10357 (2024) - [i20]Weijia Zhang, Mohammad Aliannejadi, Jiahuan Pei, Yifei Yuan, Jia-Hong Huang, Evangelos Kanoulas:
A Comparative Analysis of Faithfulness Metrics and Humans in Citation Evaluation. CoRR abs/2408.12398 (2024) - [i19]Jia-Hong Huang:
Personalized Video Summarization using Text-Based Queries and Conditional Modeling. CoRR abs/2408.14743 (2024) - 2023
- [c16]Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring:
Causalainer: Causal Explainer for Automatic Video Summarization. CVPR Workshops 2023: 2630-2636 - [c15]Jia-Hong Huang, Luka Murn, Marta Mrak, Marcel Worring:
Query-Based Video Summarization with Pseudo Label Supervision. ICIP 2023: 1430-1434 - [c14]Ting-Wei Wu, Jia-Hong Huang, Joseph Lin, Marcel Worring
Expert-defined Keywords Improve Interpretability of Retinal Image Captioning. WACV 2023: 1859-1868 - [i18]Jia-Hong Huang, Modar Alfadly, Bernard Ghanem, Marcel Worring:
Improving Visual Question Answering Models through Robustness Analysis and In-Context Learning with a Chain of Basic Questions. CoRR abs/2304.03147 (2023) - [i17]Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring:
Causalainer: Causal Explainer for Automatic Video Summarization. CoRR abs/2305.00455 (2023) - [i16]Jia-Hong Huang, Luka Murn, Marta Mrak, Marcel Worring:
Query-based Video Summarization with Pseudo Label Supervision. CoRR abs/2307.01945 (2023) - [i15]Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Andrew Brown, Marcel Worring:
Causal Video Summarizer for Video Exploration. CoRR abs/2307.01947 (2023) - [i14]Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring:
Conditional Modeling Based Automatic Video Summarization. CoRR abs/2311.12159 (2023) - 2022
- [c13]Riccardo Di Sipio, Jia-Hong Huang, Samuel Yen-Chi Chen, Stefano Mangini, Marcel Worring
The Dawn of Quantum Natural Language Processing. ICASSP 2022: 8612-8616 - [c12]Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Andrew Brown, Marcel Worring
Causal Video Summarizer for Video Exploration. ICME 2022: 1-6 - [c11]Jia-Hong Huang, Ting-Wei Wu, Chao-Han Huck Yang, Zenglin Shi, I-Hung Lin, Jesper Tegnér
Non-local Attention Improves Description Generation for Retinal Images. WACV 2022: 3250-3259 - 2021
- [c10]Jia-Hong Huang, Ting-Wei Wu, Chao-Han Huck Yang, Marcel Worring
Deep Context-Encoding Network For Retinal Image Captioning. ICIP 2021: 3762-3766 - [c9]Jia-Hong Huang, Luka Murn, Marta Mrak
GPT2MVS: Generative Pre-trained Transformer-2 for Multi-modal Video Summarization. ICMR 2021: 580-589 - [c8]Jia-Hong Huang, Ting-Wei Wu, Marcel Worring
Contextualized Keyword Representations for Multi-modal Retinal Image Captioning. ICMR 2021: 645-652 - [c7]Jia-Hong Huang, Chao-Han Huck Yang, Fangyu Liu, Meng Tian, Yi-Chieh Liu, Ting-Wei Wu, I-Hung Lin, Kang Wang, Hiromasa Morikawa
DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation. WACV 2021: 2441-2451 - [i13]Jia-Hong Huang, Luka Murn, Marta Mrak, Marcel Worring:
GPT2MVS: Generative Pre-trained Transformer-2 for Multi-modal Video Summarization. CoRR abs/2104.12465 (2021) - [i12]Jia-Hong Huang, Ting-Wei Wu, Marcel Worring:
Contextualized Keyword Representations for Multi-modal Retinal Image Captioning. CoRR abs/2104.12471 (2021) - [i11]Jia-Hong Huang, Ting-Wei Wu, Chao-Han Huck Yang, Marcel Worring:
Longer Version for "Deep Context-Encoding Network for Retinal Image Captioning". CoRR abs/2105.14538 (2021) - [i10]Riccardo Di Sipio, Jia-Hong Huang, Samuel Yen-Chi Chen, Stefano Mangini, Marcel Worring:
The Dawn of Quantum Natural Language Processing. CoRR abs/2110.06510 (2021) - 2020
- [c6]Jia-Hong Huang, Marcel Worring
Query-controllable Video Summarization. ICMR 2020: 242-250 - [i9]Jia-Hong Huang, Marcel Worring:
Query-controllable Video Summarization. CoRR abs/2004.03661 (2020) - [i8]Jia-Hong Huang, Chao-Han Huck Yang, Fangyu Liu, Meng Tian, Yi-Chieh Liu, Ting-Wei Wu, I-Hung Lin, Kang Wang, Hiromasa Morikawa, Hernghua Chang, Jesper Tegnér
DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation. CoRR abs/2011.00569 (2020)
2010 – 2019
- 2019
- [c5]Jia-Hong Huang
A Novel Framework for Robustness Analysis of Visual QA Models. AAAI 2019: 8449-8456 - [c4]Tao Hu, Pascal Mettes, Jia-Hong Huang, Cees Snoek:
SILCO: Show a Few Images, Localize the Common Object. ICCV 2019: 5066-5075 - [i7]Yi-Chieh Liu, Hao-Hsiang Yang, Chao-Han Huck Yang, Jia-Hong Huang
Synthesizing New Retinal Symptom Images by Multiple Generative Models. CoRR abs/1902.04147 (2019) - [i6]Jia-Hong Huang
Assessing the Robustness of Visual Question Answering. CoRR abs/1912.01452 (2019) - 2018
- [c3]Yi-Chieh Liu, Hao-Hsiang Yang, Chao-Han Huck Yang, Jia-Hong Huang
Synthesizing New Retinal Symptom Images by Multiple Generative Models. ACCV Workshops 2018: 235-250 - [c2]Chao-Han Huck Yang, Fangyu Liu
Auto-classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model. ACCV Workshops 2018: 323-338 - [i5]Chao-Han Huck Yang, Jia-Hong Huang, Fangyu Liu, Fang-Yi Chiu, Mengya Gao, Weifeng Lyu, I-Hung Lin, Jesper Tegnér
A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases. CoRR abs/1806.06423 (2018) - [i4]Chao-Han Huck Yang, Fangyu Liu, Jia-Hong Huang
Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model. CoRR abs/1808.05754 (2018) - 2017
- [i3]Jia-Hong Huang
VQABQ: Visual Question Answering by Basic Questions. CoRR abs/1703.06492 (2017) - [i2]Jia-Hong Huang
Robustness Analysis of Visual QA Models by Basic Questions. CoRR abs/1709.04625 (2017) - [i1]Jia-Hong Huang
A Novel Framework for Robustness Analysis of Visual QA Models. CoRR abs/1711.06232 (2017) - 2013
- [j1]Chin-Liang Wang, Po-Chung Shen, Ying-Chang Lin, Jia-Hong Huang:
An Adaptive Receiver Design for OFDM Systems Using Conjugate Transmission. IEEE Trans. Commun. 61(2): 599-608 (2013) - 2011
- [c1]Chin-Liang Wang, Po-Chung Shen, Jia-Hong Huang:
An Improved Adaptive Receiver for OFDM Systems Using Conjugate Transmission. VTC Spring 2011: 1-5
Coauthor Index
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last updated on 2024-11-15 19:34 CET by the dblp team
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