457 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Academia SinicaTW56 papers
- Research Center for Information Technology Innovation, Academia SinicaTW20 papers
- National Taiwan UniversityTW17 papers
- National Yang Ming Chiao Tung UniversityTW14 papers
- National Tsing Hua UniversityTW11 papers
- Institute of Statistical Science, Academia SinicaTW6 papers
- National Taiwan University of Science and TechnologyTW6 papers
- National Chengchi UniversityTW4 papers
- National Cheng Kung UniversityTW4 papers
- National Science and Technology CouncilTW4 papers
- National University of SingaporeSG4 papers
- Centre for Quantum TechnologiesSG3 papers
111 papers
Equivalence Checking of Quantum Circuits via Path-Sum and Weighted Model Counting
Wei-Jia Huang, Christophe Chareton, Yu-Fang Chen +4
Equivalence checking of quantum circuits is a central verification task in quantum computing, ensuring the correctness of circuit optimizations, hardware mappings, and compilation…
Visual Lifelog Retrieval through Captioning-Enhanced Interpretation
Yu-Fei Shih, An-Zi Yen, Hen-Hsen Huang +1
People often struggle to remember specific details of past experiences, which can lead to the need to revisit these memories. Consequently, lifelog retrieval has emerged as a cruci…
Event Causality Identification with Synthetic Control
Haoyu Wang, Fengze Liu, Jiayao Zhang +2
Event causality identification (ECI), a process that extracts causal relations between events from text, is crucial for distinguishing causation from correlation. Traditional appro…
VioPTT: Violin Technique-Aware Transcription from Synthetic Data Augmentation
Ting-Kang Wang, Yueh-Po Peng, Li Su +1
While automatic music transcription is well-established in music information retrieval, most models are limited to transcribing pitch and timing information from audio, and thus om…
Enhancing Resilience for IoE: A Perspective of Networking-Level Safeguard
Guan-Yan Yang, Jui-Ning Chen, Farn Wang +1
The Internet of Energy (IoE) integrates IoT-driven digital communication with power grids to enable efficient and sustainable energy systems. Still, its interconnectivity exposes c…
AR: Adversarial Reinforcement Learning for Abstract Reasoning in Large Language Models
Cheng-Kai Yeh, Hsing-Wang Lee, Chung-Hung Kuo +1
Abstraction--the ability to recognize and distill essential computational patterns from complex problem statements--is a foundational skill in computer science, critical both for h…
MaXsive: High-Capacity and Robust Training-Free Generative Image Watermarking in Diffusion Models
Po-Yuan Mao, Cheng-Chang Tsai, Chun-Shien Lu
The great success of the diffusion model in image synthesis led to the release of gigantic commercial models, raising the issue of copyright protection and inappropriate content ge…
DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion
Hanrui Wang, Shuo Wang, Chun-Shien Lu +1
Face recognition poses serious privacy risks due to its reliance on sensitive and immutable biometric data. While modern systems mitigate privacy risks by mapping facial images to…
GPU Memory Usage Optimization for Backward Propagation in Deep Network Training
Ding-Yong Hong, Tzu-Hsien Tsai, Ning Wang +2
In modern Deep Learning, it has been a trend to design larger Deep Neural Networks (DNNs) for the execution of more complex tasks and better accuracy. On the other hand, Convolutio…
GreedyPixel: Fine-Grained Black-Box Adversarial Attack Via Greedy Algorithm
Hanrui Wang, Ching-Chun Chang, Chun-Shien Lu +2
Deep neural networks are highly vulnerable to adversarial examples, which are inputs with small, carefully crafted perturbations that cause misclassification -- making adversarial…
Zema Dataset: A Comprehensive Study of Yaredawi Zema with a Focus on Horologium Chants
Mequanent Argaw Muluneh, Yan-Tsung Peng, Worku Abebe Degife +3
Computational music research plays a critical role in advancing music production, distribution, and understanding across various musical styles worldwide. Despite the immense cultu…
Don't Do RAG: When Cache-Augmented Generation is All You Need for Knowledge Tasks
Brian J Chan, Chao-Ting Chen, Jui-Hung Cheng +1
Retrieval-augmented generation (RAG) has gained traction as a powerful approach for enhancing language models by integrating external knowledge sources. However, RAG introduces cha…
Ensuring Fairness with Transparent Auditing of Quantitative Bias in AI Systems
Chih-Cheng Rex Yuan, Bow-Yaw Wang
With the rapid advancement of AI, there is a growing trend to integrate AI into decision-making processes. However, AI systems may exhibit biases that lead decision-makers to draw…
MOSA: Music Motion with Semantic Annotation Dataset for Cross-Modal Music Processing
Yu-Fen Huang, Nikki Moran, Simon Coleman +12
In cross-modal music processing, translation between visual, auditory, and semantic content opens up new possibilities as well as challenges. The construction of such a transformat…
Device-independent certification of desirable properties with a confidence interval
Wan-Guan Chang, Kai-Chun Chen, Kai-Siang Chen +2
In the development of quantum technologies, a reliable means for characterizing quantum devices is crucial. However, the conventional approach based on, e.g., quantum state tomogra…
AV-Lip-Sync+: Leveraging AV-HuBERT to Exploit Multimodal Inconsistency for Deepfake Detection of Frontal Face Videos
Sahibzada Adil Shahzad, Ammarah Hashmi, Yan-Tsung Peng +2
Multimodal manipulations (also known as audio-visual deepfakes) make it difficult for unimodal deepfake detectors to detect forgeries in multimedia content. To avoid the spread of…
AVTENet: A Human-Cognition-Inspired Audio-Visual Transformer-Based Ensemble Network for Video Deepfake Detection
Ammarah Hashmi, Sahibzada Adil Shahzad, Chia-Wen Lin +2
The recent proliferation of hyper-realistic deepfake videos has drawn attention to the threat of audio and visual forgeries. Most previous studies on detecting artificial intellige…
MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results
Yuki Kondo, Norimichi Ukita, Takayuki Yamaguchi +19
Small Object Detection (SOD) is an important machine vision topic because (i) a variety of real-world applications require object detection for distant objects and (ii) SOD is a ch…
SUVR: A Search-based Approach to Unsupervised Visual Representation Learning
Yi-Zhan Xu, Chih-Yao Chen, Cheng-Te Li
Unsupervised learning has grown in popularity because of the difficulty of collecting annotated data and the development of modern frameworks that allow us to learn from unlabeled…
Approach to Predicting News -- A Precise Multi-LSTM Network With BERT
Chia-Lin Chen, Pei-Yu Huang, Yi-Ting Huang +1
Varieties of Democracy (V-Dem) is a new approach to conceptualizing and measuring democracy and politics. It has information for 200 countries and is one of the biggest databases f…
Headline Diagnosis: Manipulation of Content Farm Headlines
Yu-Chieh Chen, Pei-Yu Huang, Chun Lin +2
As technology grows faster, the news spreads through social media. In order to attract more readers and acquire additional profit, some news agencies reproduce massive news in a mo…
Multi-target Extractor and Detector for Unknown-number Speaker Diarization
Chin-Yi Cheng, Hung-Shin Lee, Yu Tsao +1
Strong representations of target speakers can help extract important information about speakers and detect corresponding temporal regions in multi-speaker conversations. In this st…
SVSNet: An End-to-end Speaker Voice Similarity Assessment Model
Cheng-Hung Hu, Yu-Huai Peng, Junichi Yamagishi +2
Neural evaluation metrics derived for numerous speech generation tasks have recently attracted great attention. In this paper, we propose SVSNet, the first end-to-end neural networ…
Short-Term Stock Price-Trend Prediction Using Meta-Learning
Shin-Hung Chang, Cheng-Wen Hsu, Hsing-Ying Li +2
Although conventional machine learning algorithms have been widely adopted for stock-price predictions in recent years, the massive volume of specific labeled data required are not…