A5100767220- IoT and Edge/Fog Computing
- Energy Efficient Wireless Sensor Networks
- Energy Harvesting in Wireless Networks
- Higher Education and Teaching Methods
- Formal Methods in Verification
- Advanced Wireless Communication Technologies
- Topic Modeling
- Age of Information Optimization
- Natural Language Processing Techniques
- Model-Driven Software Engineering Techniques
- Software Testing and Debugging Techniques
- Indoor and Outdoor Localization Technologies
- Caching and Content Delivery
- Scientific Computing and Data Management
- Multimodal Machine Learning Applications
- Education and Work Dynamics
- Advanced Computational Techniques and Applications
- Embedded Systems Design Techniques
- Cryptography and Data Security
- Sensor Technology and Measurement Systems
- Distributed and Parallel Computing Systems
- Interconnection Networks and Systems
- Color perception and design
- Digital Media and Visual Art
- Research Data Management Practices
Shenzhen University
2020-2025
Guilin University of Technology
2024
University of North Carolina Health Care
2023
University of North Carolina at Chapel Hill
2023
Xidian University
2022
Meta (Israel)
2021
National University of Defense Technology
2021
Third Affiliated Hospital of Sun Yat-sen University
2020
Sun Yat-sen University
2020
Southeast University
2007-2020
Problematic online game use (POGU) has become a serious global public health concern among adolescents. However, its influencing factors and mediating mechanisms remain largely unknown. This study provides the first longitudinal design to test stage-environment fit theory empirically in POGU. A total of 356 Chinese students reported on teacher autonomy support, basic psychological needs satisfaction, school engagement, POGU autumn their 7th-9th grade years. Path analyses supported proposed...
International open government initiatives are releasing an increasing volume of raw datasets directly to citizens via the Web. The transparency resulting from these releases creates new application opportunities but also imposes burdens inherent large-scale distributed data integration, collaborative manipulation and transparent consumption. Tetherless World Constellation (TWC) at Rensselaer Polytechnic Institute (RPI) has developed Semantic Web-based TWC LOGD Portal support deployment...
Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O’Horo, Jeff Luke Zettlemoyer, Zornitsa Kozareva, Mona Diab, Veselin Stoyanov, Xian Li. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022.
Mobile edge computing (MEC) is a promising paradigm to accommodate the increasingly prosperous delay-sensitive and computation-intensive applications in 5G systems. To achieve optimum computation performance dynamic MEC environment, mobile devices often need make online decisions on whether offload tasks nearby terminals under uncertainty of future system information (e.g., random wireless channel gain task arrivals). The design an efficient offloading algorithm challenging. On one hand,...
Peter Hase, Mona Diab, Asli Celikyilmaz, Xian Li, Zornitsa Kozareva, Veselin Stoyanov, Mohit Bansal, Srinivasan Iyer. Proceedings of the 17th Conference European Chapter Association for Computational Linguistics. 2023.
With recent advancements in artificial intelligence (AI), wireless sensing has recently been accepted as an attractive solution to enable accurate detection of human activities by analyzing the radio signal variations sensor devices (SDs) using a well-trained AI model. However, due limited communication and computation resources at SDs, it is impractical support energy- delay-sensitive services solely processing massive workload local or offloading edge server (ES) for inference. To address...
Deep learning (DL) libraries, widely used in AI applications, often contain vulnerabilities like buffer overflows and use-after-free errors. Traditional fuzzing struggles with the complexity API diversity of DL libraries such as TensorFlow PyTorch, which feature over 1,000 APIs. Testing all these APIs is challenging due to complex inputs varied usage patterns. While large language models (LLMs) show promise code understanding generation, existing LLM-based fuzzers lack deep knowledge edge...
Background To date, the missed diagnosis rate of pulmonary hypertension (PH) was high, and there has been limited development a rapid, simple, effective way to screen disease. The purpose this study is develop deep learning approach achieve rapid detection possible abnormalities in chest radiographs suggesting PH for screening patients suspected PH. Methods We retrospectively collected frontal artery systolic pressure (PASP) value measured by Doppler transthoracic echocardiography from 762...
Mobile edge computing (MEC) has recently become a prevailing technique to alleviate the intensive computation burden in Internet of Things (IoT) networks. However, limited device battery capacity and stringent spectrum resource significantly restrict data processing performance MEC-enabled IoT To address two limitations, we consider this paper an system with wireless (WD) replenishing its by means energy harvesting (EH) opportunistically accessing licensed overlaid primary communication link...
Energy efficiency is the most important design goal for wireless sensor networks (WSNs). In this paper, we propose an energy-efficient cooperative MIMO scheme, which combines LEACH (EE-LEACH) protocol and MIMO. We name it as EE-LEACH-MIMO scheme. EE-LEACH improved algorithm, in network partitioned to sectors with equal angle avoiding distribution non-uniformity of cluster heads. location residual energy each node are considered when heads clustering nodes system chosen. For comparisons,...
This work considers the design of online transmission policy in a wireless-powered communication system with given energy budget. The objective is to maximize long-term throughput exploiting storage capability at node. We formulate problem as constrained Markov decision process (CMDP) and obtain optimal transmit power time allocation each fading block via Lagrangian approach. To investigate performance different scenarios, numerical simulations are conducted various parameters. Our...
This letter considers an edge intelligence system where multiple end users (EUs) collaboratively train artificial (AI) model under the coordination of server (ES) and ES in return assists AI inference task computation EUs. Aiming at minimizing energy consumption execution latency EUs, we jointly consider training processes to optimize local CPU frequency splitting ratio (i.e., portion executed ES) each EU, bandwidth allocation. In particular, is correlated a binary decision that represents...
Wireless powered multi-access edge computing (MEC) has emerged as a promising paradigm to enable high-performance computation of energy-constrained wireless devices (WDs) in internet things (IoT) systems. However, overcome the severe path loss both energy transfer and data communications, MEC suffers from high operating power consumption. To achieve sustainable economic system operation, this paper focuses on developing energy-efficient online processing strategy for systems under stochastic...
Internet-of-Things architecture aims to provide smart connectivity not only with existing computers, but also new context-aware computing resources, extending soon beyond von Neumann devices for the purpose of mining, prediction, and control cyber physical components. These cyber-physical systems (CPSs) lead accumulation large amounts data that can be used build comprehensive mathematical models, raise quest real-time analysis in diverse application domains, such as environment, healthcare,...
The Space-Air-Ground Integrated Network (SAGIN) is a new network structure integrating satellite systems, air networks and ground communications to achieve high throughput reliability for data delivery. To realize the efficient delivery task management in SAGIN, scheduling should be designed. In this paper, we first present SAGIN model reduce number of attitude adjustment increase time, which constructed by satellites, Unmanned Aerial Vehicles (UAVs), stations. Then, problem formulated...
This letter considers a mobile edge computing (MEC) system where some users (MUs) have not pre-installed the service program required to process their task data. Depending on availability of program, and thus ability data locally, are tagged as eligible (EUs) ineligible (IUs), respectively. Other than offloading all server under stringent spectrum, we consider device-to-device (D2D) enabled sharing method that allows IUs obtain from its adjacent EUs, such tasks can be processed locally at...
The emerging multi-access edge computing (MEC) technology effectively enhances the wireless streaming performance of 360-degree videos. By connecting a user's head-mounted device (HMD) to smart MEC platform, server (ES) can efficiently perform adaptive tile-based video improve viewing experience. Under constrained channel capacity, ES predict field view (FoV) and transmit HMD high-resolution tiles only within predicted FoV. In practice, is challenged by random FoV prediction error fading...
Large language models (LLMs) are restricted to reason in the "language space", where they typically express reasoning process with a chain-of-thought (CoT) solve complex problem. However, we argue that space may not always be optimal for reasoning. For example, most word tokens primarily textual coherence and essential reasoning, while some critical require planning pose huge challenges LLMs. To explore potential of LLM an unrestricted latent instead using natural language, introduce new...