Jia-Hong Huang

67 papers A* 3A 7B 8Misc 1Journal 39Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Are a Thousand Words Better Than a Single Picture? Beyond Images - A Framework for Multi-Modal Knowledge Graph Dataset Enrichment.
CoRR
Pengyu Zhang, Klim Zaporojets, Jie Liu, Jia-Hong Huang, Paul Groth
2026 J jnl
Conditional Modeling-Based Automatic Video Summarization.
ACM Trans. Multim. Comput. Commun. Appl.
Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring
2026 J jnl
Keeping the Evidence Chain: Semantic Evidence Allocation for Training-Free Token Pruning in Video Temporal Grounding.
CoRR
Jiaqi Li, Shuntian Zheng, Yixian Shen, Jia-Hong Huang, Xiaoman Lu, Minzhe Ni, Yu Guan
2025 J jnl
Continuous-Token Diffusion for Speaker-Referenced TTS in Multimodal LLMs.
CoRR
Xinlu He, Swayambhu Nath Ray, Harish Mallidi, Jia-Hong Huang, Ashwin Bellur, Chander Chandak, M. Maruf, Venkatesh Ravichandran
2025 A conf
DeepEyeNet: Generating Medical Report for Retinal Images.
CIKM
Jia-Hong Huang
2025 J jnl
DeepEyeNet: Generating Medical Report for Retinal Images.
CoRR
Jia-Hong Huang
2025 A* conf
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training.
AAAI
Jia-Hong Huang, Yixian Shen, Hongyi Zhu, Stevan Rudinac, Evangelos Kanoulas
2025 — conf
Image2Text2Image: A Novel Framework for Label-Free Evaluation of Image-to-Text Generation with Text-to-Image Diffusion Models.
MMM (4)
Jia-Hong Huang, Hongyi Zhu, Yixian Shen, Stevan Rudinac, Evangelos Kanoulas
2025 J jnl
Interactive Image Retrieval Meets Query Rewriting with Large Language and Vision Language Models.
ACM Trans. Multim. Comput. Commun. Appl.
Hongyi Zhu, Jia-Hong Huang, Yixian Shen, Stevan Rudinac, Evangelos Kanoulas
2025 — conf
MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection.
ACL (1)
Yixian Shen, Qi Bi, Jia-Hong Huang, Hongyi Zhu, Andy D. Pimentel, Anuj Pathania
2025 — conf
SSH: Sparse Spectrum Adaptation via Discrete Hartley Transformation.
NAACL (Long Papers)
Yixian Shen, Qi Bi, Jia-Hong Huang, Hongyi Zhu, Andy D. Pimentel, Anuj Pathania
2025 J jnl
SSH: Sparse Spectrum Adaptation via Discrete Hartley Transformation.
CoRR
Yixian Shen, Qi Bi, Jia-Hong Huang, Hongyi Zhu, Andy D. Pimentel, Anuj Pathania
2024 J jnl
A Comparative Analysis of Faithfulness Metrics and Humans in Citation Evaluation.
CoRR
Weijia Zhang, Mohammad Aliannejadi, Jiahuan Pei, Yifei Yuan, Jia-Hong Huang, Evangelos Kanoulas
2024 — conf
A Novel Evaluation Framework for Image2Text Generation.
LLM4Eval@SIGIR
Jia-Hong Huang, Hongyi Zhu, Yixian Shen, Stevan Rudinac, Alessio M. Pacces, Evangelos Kanoulas
2024 J jnl
A Novel Evaluation Framework for Image2Text Generation.
CoRR
Jia-Hong Huang, Hongyi Zhu, Yixian Shen, Stevan Rudinac, Alessio M. Pacces, Evangelos Kanoulas
2024 J jnl
Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks.
CoRR
Shuai Wang, David W. Zhang, Jia-Hong Huang, Stevan Rudinac, Monika Kackovic, Nachoem Wijnberg, Marcel Worring
2024 J jnl
Automated Retinal Image Analysis and Medical Report Generation through Deep Learning.
CoRR
Jia-Hong Huang
2024 — conf
Beyond Relevant Documents: A Knowledge-Intensive Approach for Query-Focused Summarization Using Large Language Models.
ICPR (19)
Weijia Zhang, Jia-Hong Huang, Svitlana Vakulenko, Yumo Xu, Thilina Rajapakse, Evangelos Kanoulas
2024 J jnl
Beyond Relevant Documents: A Knowledge-Intensive Approach for Query-Focused Summarization using Large Language Models.
CoRR
Weijia Zhang, Jia-Hong Huang, Svitlana Vakulenko, Yumo Xu, Thilina Rajapakse, Evangelos Kanoulas
2024 B conf
Enhancing Interactive Image Retrieval With Query Rewriting Using Large Language Models and Vision Language Models.
ICMR
Hongyi Zhu, Jia-Hong Huang, Stevan Rudinac, Evangelos Kanoulas
2024 J jnl
Enhancing Interactive Image Retrieval With Query Rewriting Using Large Language Models and Vision Language Models.
CoRR
Hongyi Zhu, Jia-Hong Huang, Stevan Rudinac, Evangelos Kanoulas
2024 J jnl
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training.
CoRR
Jia-Hong Huang, Yixian Shen, Hongyi Zhu, Stevan Rudinac, Evangelos Kanoulas
2024 J jnl
Image2Text2Image: A Novel Framework for Label-Free Evaluation of Image-to-Text Generation with Text-to-Image Diffusion Models.
CoRR
Jia-Hong Huang, Hongyi Zhu, Yixian Shen, Stevan Rudinac, Evangelos Kanoulas
2024 B conf
Multi-modal Video Summarization.
ICMR
Jia-Hong Huang
2024 A conf
Optimizing Numerical Estimation and Operational Efficiency in the Legal Domain through Large Language Models.
CIKM
Jia-Hong Huang, Chao-Chun Yang, Yixian Shen, Alessio M. Pacces, Evangelos Kanoulas
2024 J jnl
Optimizing Numerical Estimation and Operational Efficiency in the Legal Domain through Large Language Models.
CoRR
Jia-Hong Huang, Chao-Chun Yang, Yixian Shen, Alessio M. Pacces, Evangelos Kanoulas
2024 J jnl
Parameter-Efficient Fine-Tuning via Selective Discrete Cosine Transform.
CoRR
Yixian Shen, Qi Bi, Jia-Hong Huang, Hongyi Zhu, Anuj Pathania
2024 J jnl
Personalized Video Summarization using Text-Based Queries and Conditional Modeling.
CoRR
Jia-Hong Huang
2024 A conf
QFMTS: Generating Query-Focused Summaries over Multi-Table Inputs.
ECAI
Weijia Zhang, Vaishali Pal, Jia-Hong Huang, Evangelos Kanoulas, Maarten de Rijke
2024 J jnl
QFMTS: Generating Query-Focused Summaries over Multi-Table Inputs.
CoRR
Weijia Zhang, Vaishali Pal, Jia-Hong Huang, Evangelos Kanoulas, Maarten de Rijke
2024 B conf
Towards Fine-Grained Citation Evaluation in Generated Text: A Comparative Analysis of Faithfulness Metrics.
INLG
Weijia Zhang, Mohammad Aliannejadi, Yifei Yuan, Jiahuan Pei, Jia-Hong Huang, Evangelos Kanoulas
2024 J jnl
Towards Fine-Grained Citation Evaluation in Generated Text: A Comparative Analysis of Faithfulness Metrics.
CoRR
Weijia Zhang, Mohammad Aliannejadi, Yifei Yuan, Jiahuan Pei, Jia-Hong Huang, Evangelos Kanoulas
2023 J jnl
Causal Video Summarizer for Video Exploration.
CoRR
Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Andrew Brown, Marcel Worring
2023 — conf
Causalainer: Causal Explainer for Automatic Video Summarization.
CVPR Workshops
Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring
2023 J jnl
Causalainer: Causal Explainer for Automatic Video Summarization.
CoRR
Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring
2023 J jnl
Conditional Modeling Based Automatic Video Summarization.
CoRR
Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring
2023 A conf
Expert-defined Keywords Improve Interpretability of Retinal Image Captioning.
WACV
Ting-Wei Wu, Jia-Hong Huang, Joseph Lin, Marcel Worring
2023 J jnl
Improving Visual Question Answering Models through Robustness Analysis and In-Context Learning with a Chain of Basic Questions.
CoRR
Jia-Hong Huang, Modar Alfadly, Bernard Ghanem, Marcel Worring
2023 B conf
Query-Based Video Summarization with Pseudo Label Supervision.
ICIP
Jia-Hong Huang, Luka Murn, Marta Mrak, Marcel Worring
2023 J jnl
Query-based Video Summarization with Pseudo Label Supervision.
CoRR
Jia-Hong Huang, Luka Murn, Marta Mrak, Marcel Worring
2022 A conf
Causal Video Summarizer for Video Exploration.
ICME
Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Andrew Brown, Marcel Worring
2022 A conf
Non-local Attention Improves Description Generation for Retinal Images.
WACV
Jia-Hong Huang, Ting-Wei Wu, Chao-Han Huck Yang, Zenglin Shi, I-Hung Lin, Jesper Tegnér, Marcel Worring
2022 Misc conf
The Dawn of Quantum Natural Language Processing.
ICASSP
Riccardo Di Sipio, Jia-Hong Huang, Samuel Yen-Chi Chen, Stefano Mangini, Marcel Worring
2021 B conf
Contextualized Keyword Representations for Multi-modal Retinal Image Captioning.
ICMR
Jia-Hong Huang, Ting-Wei Wu, Marcel Worring
2021 J jnl
Contextualized Keyword Representations for Multi-modal Retinal Image Captioning.
CoRR
Jia-Hong Huang, Ting-Wei Wu, Marcel Worring
2021 B conf
Deep Context-Encoding Network For Retinal Image Captioning.
ICIP
Jia-Hong Huang, Ting-Wei Wu, Chao-Han Huck Yang, Marcel Worring
2021 A conf
DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation.
WACV
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, Marcel Worring
2021 B conf
GPT2MVS: Generative Pre-trained Transformer-2 for Multi-modal Video Summarization.
ICMR
Jia-Hong Huang, Luka Murn, Marta Mrak, Marcel Worring
2021 J jnl
GPT2MVS: Generative Pre-trained Transformer-2 for Multi-modal Video Summarization.
CoRR
Jia-Hong Huang, Luka Murn, Marta Mrak, Marcel Worring
2021 J jnl
Longer Version for "Deep Context-Encoding Network for Retinal Image Captioning".
CoRR
Jia-Hong Huang, Ting-Wei Wu, Chao-Han Huck Yang, Marcel Worring
2021 J jnl
The Dawn of Quantum Natural Language Processing.
CoRR
Riccardo Di Sipio, Jia-Hong Huang, Samuel Yen-Chi Chen, Stefano Mangini, Marcel Worring
2020 J jnl
DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation.
CoRR
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, Marcel Worring
2020 B conf
Query-controllable Video Summarization.
ICMR
Jia-Hong Huang, Marcel Worring
2020 J jnl
Query-controllable Video Summarization.
CoRR
Jia-Hong Huang, Marcel Worring
2019 A* conf
A Novel Framework for Robustness Analysis of Visual QA Models.
AAAI
Jia-Hong Huang, Cuong Duc Dao, Modar Alfadly, Bernard Ghanem
2019 J jnl
Assessing the Robustness of Visual Question Answering.
CoRR
Jia-Hong Huang, Modar Alfadly, Bernard Ghanem, Marcel Worring
2019 A* conf
SILCO: Show a Few Images, Localize the Common Object.
ICCV
Tao Hu, Pascal Mettes, Jia-Hong Huang, Cees Snoek
2019 J jnl
Synthesizing New Retinal Symptom Images by Multiple Generative Models.
CoRR
Yi-Chieh Liu, Hao-Hsiang Yang, Chao-Han Huck Yang, Jia-Hong Huang, Meng Tian, Hiromasa Morikawa, Yichang James Tsai, Jesper Tegnér
2018 J jnl
A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases.
CoRR
Chao-Han Huck Yang, Jia-Hong Huang, Fangyu Liu, Fang-Yi Chiu, Mengya Gao, Weifeng Lyu, I-Hung Lin, Jesper Tegnér
2018 J jnl
Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model.
CoRR
Chao-Han Huck Yang, Fangyu Liu, Jia-Hong Huang, Meng Tian, Yi-Chieh Liu, I-Hung Lin, Jesper Tegnér
2018 — conf
Auto-classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model.
ACCV Workshops
Chao-Han Huck Yang, Fangyu Liu, Jia-Hong Huang, Meng Tian, I-Hung Lin, Yi-Chieh Liu, Hiromasa Morikawa, Hao-Hsiang Yang, Jesper Tegnér
2018 — conf
Synthesizing New Retinal Symptom Images by Multiple Generative Models.
ACCV Workshops
Yi-Chieh Liu, Hao-Hsiang Yang, Chao-Han Huck Yang, Jia-Hong Huang, Meng Tian, Hiromasa Morikawa, Yi-Chang James Tsai, Jesper Tegnér
2017 J jnl
A Novel Framework for Robustness Analysis of Visual QA Models.
CoRR
Jia-Hong Huang, Cuong Duc Dao, Modar Alfadly, Bernard Ghanem
2017 J jnl
Robustness Analysis of Visual QA Models by Basic Questions.
CoRR
Jia-Hong Huang, Modar Alfadly, Bernard Ghanem
2017 J jnl
VQABQ: Visual Question Answering by Basic Questions.
CoRR
Jia-Hong Huang, Modar Alfadly, Bernard Ghanem
2013 J jnl
An Adaptive Receiver Design for OFDM Systems Using Conjugate Transmission.
IEEE Trans. Commun.
Chin-Liang Wang, Po-Chung Shen, Ying-Chang Lin, Jia-Hong Huang
2011 — conf
An Improved Adaptive Receiver for OFDM Systems Using Conjugate Transmission.
VTC Spring
Chin-Liang Wang, Po-Chung Shen, Jia-Hong Huang