A5000149055- Advanced Computational Techniques and Applications
- Railway Systems and Energy Efficiency
- Access Control and Trust
- Internet Traffic Analysis and Secure E-voting
- Railway Engineering and Dynamics
- Teaching and Learning Programming
- Distributed systems and fault tolerance
- Real-Time Systems Scheduling
- Age of Information Optimization
- Security and Verification in Computing
- Radio Wave Propagation Studies
- Human-Automation Interaction and Safety
- Model-Driven Software Engineering Techniques
- Indoor and Outdoor Localization Technologies
- Software Engineering Research
- Advanced Vision and Imaging
- Advanced Data Compression Techniques
- Genetics, Bioinformatics, and Biomedical Research
- Speech and Audio Processing
- Privacy-Preserving Technologies in Data
- Context-Aware Activity Recognition Systems
- Evaluation Methods in Various Fields
- Power Line Communications and Noise
- Web Data Mining and Analysis
- Traffic Prediction and Management Techniques
Beijing Jiaotong University
2023-2025
IMT Atlantique
2017-2018
North China Electric Power University
2016
Southeast University
2013
Digital China Health (China)
2010
Instruction-tuned Code Large Language Models (Code LLMs) have excelled in diverse code-related tasks, such as program synthesis, automatic repair, and code explanation. To collect training datasets for instruction-tuning, a popular method involves having models autonomously generate instructions corresponding responses. However, the direct generation of responses does not ensure functional correctness, crucial requirement generating to instructions. overcome this, we present...
With the integration of 5G NR (New Radio) into railway systems, demand for enhanced positioning and trajectory tracking performance in High-Speed Train (HST) networks has grown. However, many existing train schemes rely on traditional algorithms like Extended Kalman Filter (EKF), which may fall short meeting precision requirements, particularly HST scenarios. Addressing this limitation, paper draws concepts presented by Ko et al. (2022) introduces an Improved (IEKF) using Least Squares...
This paper presents a new trust model that has integrated user-centered design philosophy, as an important role to gain users' trust. It points out the level of is finally rated by users, not some "trust" organizations. And it reason research in ergonomics already examined how established, maintained, lost and regained human-machine systems. After short introduction existing research, named presented. The main process this firstly analyze understanding system, then cross-compare with...
Large language models have been successfully applied to programming assistance tasks, such as code completion, insertion, and instructional editing. However, these applications remain insufficiently automated struggle effectively integrate various types of information during the process, including coding history, current code, user instructions. In this work, we propose a new conversational framework that comprehensively integrates sources, collect data train our evaluate their performance....
Recently, Ko et al. (2022) proposed a high-speed railway positioning scheme based on an improved Kalman filter using 5G NR signals. Although the proposal was promising, our research and analysis have revealed that method has serious design flaws in filtering principles, rendering algorithm infeasible. Specifically, are related to computation usability of high-order terms prediction error after Taylor expansion derivation.
With the increasing of automation degree mining machinery and electrical equipment machinery, Mining Machinery occupy an increasingly important position in security management.Without safe operation mechanical equipment, safety production can not be guaranteed mines.Therefore, strengthening scientific management correct rational using is modern development requirements.Safety evaluation aspect management.In this paper, we put forward improve Analytic Hierarchy Process, which combined with...
Based on the idea of "functionality-centric", this paper proposes a complete set oriented semantic query methods for Deep Web, builds up relevant software architecture, provides new method full use Web data resources in web environment through describing establishment environment, re-writing SPARQL-to-SQL query, packaging result, and architecture services.