An Improved Adaptive Receiver for OFDM Systems Using Conjugate Transmission. - Chin-Liang Wang; Po-Chung Shen; Jia-Hong Huang (VTC Spring, 2011)

An Adaptive Receiver Design for OFDM Systems Using Conjugate Transmission. - Chin-Liang Wang; Po-Chung Shen; Ying-Chang Lin; Jia-Hong Huang (IEEE Trans. Commun., 2013)

VQABQ: Visual Question Answering by Basic Questions. - Jia-Hong Huang; Modar Alfadly; Bernard Ghanem (CoRR, 2017)

Robustness Analysis of Visual QA Models by Basic Questions. - Jia-Hong Huang; Modar Alfadly; Bernard Ghanem (CoRR, 2017)

Synthesizing New Retinal Symptom Images by Multiple Generative Models. - Yi-Chieh Liu; Hao-Hsiang Yang; Chao-Han Huck Yang; Jia-Hong Huang; Meng Tian 002; Hiromasa Morikawa; Yi-Chang James Tsai; Jesper Tegnér (ACCV Workshops, 2018)

Auto-classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model. - Chao-Han Huck Yang; Fangyu Liu 001; Jia-Hong Huang; Meng Tian 002; I-Hung Lin; Yi-Chieh Liu; Hiromasa Morikawa; Hao-Hsiang Yang; Jesper Tegnér (ACCV Workshops, 2018)

A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases. - Chao-Han Huck Yang; Jia-Hong Huang; Fangyu Liu 001; Fang-Yi Chiu; Mengya Gao; Weifeng Lyu; I-Hung Lin; Jesper Tegnér (CoRR, 2018)

Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model. - Chao-Han Huck Yang; Fangyu Liu 001; Jia-Hong Huang; Meng Tian 002; Yi-Chieh Liu; I-Hung Lin; Jesper Tegnér (CoRR, 2018)

A Novel Framework for Robustness Analysis of Visual QA Models. - Jia-Hong Huang; Cuong Duc Dao; Modar Alfadly; Bernard Ghanem (AAAI, 2019)

SILCO: Show a Few Images, Localize the Common Object. - Tao Hu; Pascal Mettes; Jia-Hong Huang; Cees Snoek (ICCV, 2019)

Assessing the Robustness of Visual Question Answering. - Jia-Hong Huang; Modar Alfadly; Bernard Ghanem; Marcel Worring (CoRR, 2019)

Query-controllable Video Summarization. - Jia-Hong Huang; Marcel Worring (ICMR, 2020)

Deep Context-Encoding Network For Retinal Image Captioning. - Jia-Hong Huang; Ting-Wei Wu; Chao-Han Huck Yang; Marcel Worring (ICIP, 2021)

GPT2MVS: Generative Pre-trained Transformer-2 for Multi-modal Video Summarization. - Jia-Hong Huang; Luka Murn; Marta Mrak; Marcel Worring (ICMR, 2021)

Contextualized Keyword Representations for Multi-modal Retinal Image Captioning. - Jia-Hong Huang; Ting-Wei Wu; Marcel Worring (ICMR, 2021)

DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation. - Jia-Hong Huang; Chao-Han Huck Yang; Fangyu Liu 001; Meng Tian 002; Yi-Chieh Liu; Ting-Wei Wu; I-Hung Lin; Kang Wang; Hiromasa Morikawa; Hernghua Chang; Jesper Tegnér; Marcel Worring (WACV, 2021)

Longer Version for "Deep Context-Encoding Network for Retinal Image Captioning". - Jia-Hong Huang; Ting-Wei Wu; Chao-Han Huck Yang; Marcel Worring (CoRR, 2021)

The Dawn of Quantum Natural Language Processing. - Riccardo Di Sipio; Jia-Hong Huang; Samuel Yen-Chi Chen; Stefano Mangini; Marcel Worring (ICASSP, 2022)

Causal Video Summarizer for Video Exploration. - Jia-Hong Huang; Chao-Han Huck Yang; Pin-Yu Chen; Andrew Brown; Marcel Worring (ICME, 2022)

Non-local Attention Improves Description Generation for Retinal Images. - Jia-Hong Huang; Ting-Wei Wu; Chao-Han Huck Yang; Zenglin Shi; I-Hung Lin; Jesper Tegnér; Marcel Worring (WACV, 2022)

Causalainer: Causal Explainer for Automatic Video Summarization. - Jia-Hong Huang; Chao-Han Huck Yang; Pin-Yu Chen; Min-Hung Chen; Marcel Worring (CVPR Workshops, 2023)

Query-Based Video Summarization with Pseudo Label Supervision. - Jia-Hong Huang; Luka Murn; Marta Mrak; Marcel Worring (ICIP, 2023)

Expert-defined Keywords Improve Interpretability of Retinal Image Captioning. - Ting-Wei Wu; Jia-Hong Huang; Joseph Lin; Marcel Worring (WACV, 2023)

Improving Visual Question Answering Models through Robustness Analysis and In-Context Learning with a Chain of Basic Questions. - Jia-Hong Huang; Modar Alfadly; Bernard Ghanem; Marcel Worring (CoRR, 2023)

Conditional Modeling Based Automatic Video Summarization. - Jia-Hong Huang; Chao-Han Huck Yang; Pin-Yu Chen; Min-Hung Chen; Marcel Worring (CoRR, 2023)

Optimizing Numerical Estimation and Operational Efficiency in the Legal Domain through Large Language Models. - Jia-Hong Huang; Chao-Chun Yang; Yixian Shen; Alessio M. Pacces; Evangelos Kanoulas (CIKM, 2024)

QFMTS: Generating Query-Focused Summaries over Multi-Table Inputs. - Weijia Zhang 004; Vaishali Pal; Jia-Hong Huang; Evangelos Kanoulas; Maarten de Rijke (ECAI, 2024)

Beyond Relevant Documents: A Knowledge-Intensive Approach for Query-Focused Summarization Using Large Language Models. - Weijia Zhang 004; Jia-Hong Huang; Svitlana Vakulenko; Yumo Xu; Thilina Rajapakse; Evangelos Kanoulas (ICPR (19), 2024)

Towards Fine-Grained Citation Evaluation in Generated Text: A Comparative Analysis of Faithfulness Metrics. - Weijia Zhang 004; Mohammad Aliannejadi; Yifei Yuan 002; Jiahuan Pei; Jia-Hong Huang; Evangelos Kanoulas (INLG, 2024)

A Novel Evaluation Framework for Image2Text Generation. - Jia-Hong Huang; Hongyi Zhu; Yixian Shen; Stevan Rudinac; Alessio M. Pacces; Evangelos Kanoulas (LLM4Eval@SIGIR, 2024)

Multi-modal Video Summarization. - Jia-Hong Huang (ICMR, 2024)

Enhancing Interactive Image Retrieval With Query Rewriting Using Large Language Models and Vision Language Models. - Hongyi Zhu; Jia-Hong Huang; Stevan Rudinac; Evangelos Kanoulas (ICMR, 2024)

Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks. - Shuai Wang 054; David W. Zhang; Jia-Hong Huang; Stevan Rudinac; Monika Kackovic; Nachoem Wijnberg; Marcel Worring (CoRR, 2024)

Automated Retinal Image Analysis and Medical Report Generation through Deep Learning. - Jia-Hong Huang (CoRR, 2024)

A Comparative Analysis of Faithfulness Metrics and Humans in Citation Evaluation. - Weijia Zhang 004; Mohammad Aliannejadi; Jiahuan Pei; Yifei Yuan 002; Jia-Hong Huang; Evangelos Kanoulas (CoRR, 2024)

Personalized Video Summarization using Text-Based Queries and Conditional Modeling. - Jia-Hong Huang (CoRR, 2024)

Parameter-Efficient Fine-Tuning via Selective Discrete Cosine Transform. - Yixian Shen; Qi Bi; Jia-Hong Huang; Hongyi Zhu; Anuj Pathania (CoRR, 2024)

Gradient Weight-normalized Low-rank Projection for Efficient LLM Training. - Jia-Hong Huang; Yixian Shen; Hongyi Zhu; Stevan Rudinac; Evangelos Kanoulas (AAAI, 2025)

MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection. - Yixian Shen; Qi Bi; Jia-Hong Huang; Hongyi Zhu; Andy D. Pimentel; Anuj Pathania (ACL (1), 2025)

Image2Text2Image: A Novel Framework for Label-Free Evaluation of Image-to-Text Generation with Text-to-Image Diffusion Models. - Jia-Hong Huang; Hongyi Zhu; Yixian Shen; Stevan Rudinac; Evangelos Kanoulas (MMM (4), 2025)

SSH: Sparse Spectrum Adaptation via Discrete Hartley Transformation. - Yixian Shen; Qi Bi; Jia-Hong Huang; Hongyi Zhu; Andy D. Pimentel; Anuj Pathania (NAACL (Long Papers), 2025)