Yu‐Chen Hu
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View article: ISAAC: Intelligent, Scalable, Agile, and Accelerated CPU Verification via LLM-aided FPGA Parallelism
ISAAC: Intelligent, Scalable, Agile, and Accelerated CPU Verification via LLM-aided FPGA Parallelism Open
Functional verification is a critical bottleneck in integrated circuit development, with CPU verification being especially time-intensive and labour-consuming. Industrial practice relies on differential testing for CPU verification, yet fa…
View article: Maslow’s Theory as a Tool for Actor-Centered Character Analysis: A Case Study of <Macbeth>
Maslow’s Theory as a Tool for Actor-Centered Character Analysis: A Case Study of Open
View article: Optimal Targeting in Dynamic Systems
Optimal Targeting in Dynamic Systems Open
Modern treatment targeting methods often rely on estimating the conditional average treatment effect (CATE) using machine learning tools. While effective in identifying who benefits from treatment on the individual level, these approaches …
View article: User evaluations of a Dementia case management information system: A cross-sectional study
User evaluations of a Dementia case management information system: A cross-sectional study Open
The quantitative assessments of the DCMIS by the dementia case managers demonstrated most found the system to be useful. Factors that were predictors of acceptance suggest that the ability to easily access quality information and improved …
View article: Enhanced Partially Relevant Video Retrieval through Inter- and Intra-Sample Analysis with Coherence Prediction
Enhanced Partially Relevant Video Retrieval through Inter- and Intra-Sample Analysis with Coherence Prediction Open
Partially Relevant Video Retrieval (PRVR) aims to retrieve the target video that is partially relevant to the text query. The primary challenge in PRVR arises from the semantic asymmetry between textual and visual modalities, as videos oft…
View article: VeriDebug: A Unified LLM for Verilog Debugging via Contrastive Embedding and Guided Correction
VeriDebug: A Unified LLM for Verilog Debugging via Contrastive Embedding and Guided Correction Open
Large Language Models (LLMs) have demonstrated remarkable potential in debugging for various programming languages. However, the application of LLMs to Verilog debugging remains insufficiently explored. Here, we present VeriDebug, an appro…
View article: Insights from Verification: Training a Verilog Generation LLM with Reinforcement Learning with Testbench Feedback
Insights from Verification: Training a Verilog Generation LLM with Reinforcement Learning with Testbench Feedback Open
Large language models (LLMs) have shown strong performance in Verilog generation from natural language description. However, ensuring the functional correctness of the generated code remains a significant challenge. This paper introduces a…
View article: Dynamic Compressing Prompts for Efficient Inference of Large Language Models
Dynamic Compressing Prompts for Efficient Inference of Large Language Models Open
Large Language Models (LLMs) have shown outstanding performance across a variety of tasks, partly due to advanced prompting techniques. However, these techniques often require lengthy prompts, which increase computational costs and can hin…
View article: Improved Grasshopper Optimization With Distance Vector Hop Relay Model for Effective NLOS Localization in VANETs
Improved Grasshopper Optimization With Distance Vector Hop Relay Model for Effective NLOS Localization in VANETs Open
Dissemination of emergency messages in vehicular ad hoc networks (VANETs) assists vehicles in determining approaching vehicle speed dynamics and enables drivers to make sound decisions. Factors in the road scenario, such as static and dyna…
View article: Identification of the optimal candidates to benefit from surgery and chemotherapy among elderly female breast cancer patients with bone metastases
Identification of the optimal candidates to benefit from surgery and chemotherapy among elderly female breast cancer patients with bone metastases Open
View article: Hypophysectomy, pituitary neuroadenolysis and pituitary radiosurgery for the treatment of refractory cancer pain: a historical review and mechanism investigation
Hypophysectomy, pituitary neuroadenolysis and pituitary radiosurgery for the treatment of refractory cancer pain: a historical review and mechanism investigation Open
Refractory cancer pain affects 10–20% of patients with advanced malignancies and is not adequately controlled by opioids. The intrathecal therapy is an effective interventional procedure for referral, but the implanted infusion pumps are c…
View article: AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting
AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting Open
View article: Relevant or Random: Can LLMs Truly Perform Analogical Reasoning?
Relevant or Random: Can LLMs Truly Perform Analogical Reasoning? Open
View article: From KAN to GR-KAN: Advancing Speech Enhancement with KAN-Based Methodology
From KAN to GR-KAN: Advancing Speech Enhancement with KAN-Based Methodology Open
Deep neural network (DNN)-based speech enhancement (SE) usually uses conventional activation functions, which lack the expressiveness to capture complex multiscale structures needed for high-fidelity SE. Group-Rational KAN (GR-KAN), a vari…
View article: UVLLM: An Automated Universal RTL Verification Framework using LLMs
UVLLM: An Automated Universal RTL Verification Framework using LLMs Open
Verifying hardware designs in embedded systems is crucial but often labor-intensive and time-consuming. While existing solutions have improved automation, they frequently rely on unrealistic assumptions. To address these challenges, we int…
View article: UniTabNet: Bridging Vision and Language Models for Enhanced Table Structure Recognition
UniTabNet: Bridging Vision and Language Models for Enhanced Table Structure Recognition Open
In the digital era, table structure recognition technology is a critical tool for processing and analyzing large volumes of tabular data. Previous methods primarily focus on visual aspects of table structure recovery but often fail to effe…
View article: Retraction Note: AI-based online proctoring: a review of the state-of-the-art techniques and open challenges
Retraction Note: AI-based online proctoring: a review of the state-of-the-art techniques and open challenges Open
View article: MaxMind: A Memory Loop Network to Enhance Software Productivity based on Large Language Models
MaxMind: A Memory Loop Network to Enhance Software Productivity based on Large Language Models Open
The application of large language models to facilitate automated software operations and tool generation (SOTG), thus augmenting software productivity, mirrors the early stages of human evolution when the ability to create and use tools ac…
View article: PID: Physics-Informed Diffusion Model for Infrared Image Generation
PID: Physics-Informed Diffusion Model for Infrared Image Generation Open
Infrared imaging technology has gained significant attention for its reliable sensing ability in low visibility conditions, prompting many studies to convert the abundant RGB images to infrared images. However, most existing image translat…
View article: e-Health and artificial intelligence: Emerging trends, models, and applications
e-Health and artificial intelligence: Emerging trends, models, and applications Open
View article: Estimating Treatment Effects under Recommender Interference: A Structured Neural Networks Approach
Estimating Treatment Effects under Recommender Interference: A Structured Neural Networks Approach Open
Recommender systems are essential for content-sharing platforms by curating personalized content. To improve recommender systems, platforms frequently rely on creator-side randomized experiments to evaluate algorithm updates. We show that …
View article: MEIC: Re-thinking RTL Debug Automation using LLMs
MEIC: Re-thinking RTL Debug Automation using LLMs Open
The deployment of Large Language Models (LLMs) for code debugging (e.g., C and Python) is widespread, benefiting from their ability to understand and interpret intricate concepts. However, in the semiconductor industry, utilising LLMs to d…
View article: Implementation of Bioelectrical Impedance Measuring Instrument Based on Embedded System
Implementation of Bioelectrical Impedance Measuring Instrument Based on Embedded System Open
The present research aims to measure the segmental bioelectrical impedance (BI) of the human body at multifrequency, using a server user interface-based prototype, which provides subjects with measured data online anywhere accessed by thei…
View article: Relevant or Random: Can LLMs Truly Perform Analogical Reasoning?
Relevant or Random: Can LLMs Truly Perform Analogical Reasoning? Open
Analogical reasoning is a unique ability of humans to address unfamiliar challenges by transferring strategies from relevant past experiences. One key finding in psychology is that compared with irrelevant past experiences, recalling relev…
View article: Minimax-Regret Sample Selection in Randomized Experiments
Minimax-Regret Sample Selection in Randomized Experiments Open
Randomized controlled trials are often run in settings with many subpopulations that may have differential benefits from the treatment being evaluated. We consider the problem of sample selection, i.e., whom to enroll in a randomized trial…
View article: Applications, challenges, and solutions of unmanned aerial vehicles in smart city using blockchain
Applications, challenges, and solutions of unmanned aerial vehicles in smart city using blockchain Open
Real-time data gathering, analysis, and reaction are made possible by this information and communication technology system. Data storage is also made possible by it. This is a good move since it enhances the administration and operation se…
View article: Cross-Modality and Within-Modality Regularization for Audio-Visual DeepFake Detection
Cross-Modality and Within-Modality Regularization for Audio-Visual DeepFake Detection Open
Audio-visual deepfake detection scrutinizes manipulations in public video using complementary multimodal cues. Current methods, which train on fused multimodal data for multimodal targets face challenges due to uncertainties and inconsiste…
View article: Multichannel AV-wav2vec2: A Framework for Learning Multichannel Multi-Modal Speech Representation
Multichannel AV-wav2vec2: A Framework for Learning Multichannel Multi-Modal Speech Representation Open
Self-supervised speech pre-training methods have developed rapidly in recent years, which show to be very effective for many near-field single-channel speech tasks. However, far-field multichannel speech processing is suffering from the sc…
View article: Pid: Physics-Informed Diffusion Model for Infrared Image Generation
Pid: Physics-Informed Diffusion Model for Infrared Image Generation Open
View article: Effectiveness of oral health education in enhancing oral care knowledge,attitudesand behaviors for family caregivers of persons with dementia
Effectiveness of oral health education in enhancing oral care knowledge,attitudesand behaviors for family caregivers of persons with dementia Open
Background Due to the loss of cognitive function and memory, persons with dementia gradually lose their self‐care and social skills, and the weakening of their oral care ability can easily lead to periodontal disease, dry mouth, and root c…