- Cloud Computing and Resource Management
- Software-Defined Networks and 5G
- Caching and Content Delivery
- Parallel Computing and Optimization Techniques
- Distributed systems and fault tolerance
- Peer-to-Peer Network Technologies
- Network Traffic and Congestion Control
- Software System Performance and Reliability
- Advanced Data Storage Technologies
- Interconnection Networks and Systems
- Distributed and Parallel Computing Systems
- Energy Efficient Wireless Sensor Networks
- Graph Theory and Algorithms
- IoT and Edge/Fog Computing
- Cancer Immunotherapy and Biomarkers
- Human Mobility and Location-Based Analysis
- Image and Video Quality Assessment
- Ferroptosis and cancer prognosis
- Lung Cancer Treatments and Mutations
- Media Influence and Politics
- Indoor and Outdoor Localization Technologies
- Cancer Genomics and Diagnostics
- Nanoplatforms for cancer theranostics
- Corruption and Economic Development
- Real-Time Systems Scheduling
Nanjing Tech University
2019-2025
Nanjing University
2016-2025
Huazhong University of Science and Technology
2015-2025
Yangtze University
2024-2025
Union Hospital
2019-2025
Guangxi University
2025
Guangxi University of Chinese Medicine
2025
Fudan University
2025
China Mobile (China)
2025
Zhengzhou People's Hospital
2025
This paper presents BCube, a new network architecture specifically designed for shipping-container based, modular data centers. At the core of BCube is its server-centric structure, where servers with multiple ports connect to layers COTS (commodity off-the-shelf) mini-switches. Servers act as not only end hosts, but also relay nodes each other. supports various bandwidth-intensive applications by speeding-up one-to-one, one-to-several, and one-to-all traffic patterns, providing high...
This paper presents BCube, a new network architecture specifically designed for shipping-container based, modular data centers. At the core of BCube is its server-centric structure, where servers with multiple ports connect to layers COTS (commodity off-the-shelf) mini-switches. Servers act as not only end hosts, but also relay nodes each other. supports various bandwidth-intensive applications by speeding-up one-to-one, one-to-several, and one-to-all traffic patterns, providing high...
Electric vehicle (EV) taxis have been introduced into the public transportation systems to increase EV market penetration. Different from regular that can refuel in minutes, taxis' recharging cycles be as long one hour. Due cycle, bad decision on charging station, i.e., choosing without empty piles, may lead a waiting time of more than an hour worst case. Therefore, right station is very important reduce overall time. Considering nonnegligible portion total work hours, will naturally affect...
In the data flow models of today's center applications such as MapReduce, Spark and Dryad, multiple flows can comprise a coflow group semantically. Only completing all in is meaningful to an application. To optimize application performance, routing scheduling must be jointly considered at level rather than individual flows. However, prior solutions have significant limitation: they only consider scheduling, which insufficient. this end, we present Rapier, coflow-aware network optimization...
The advent of multicores presents a promising opportunity for speeding up sequential programs via profile-based speculative parallelization these programs. In this paper we present novel solution efficiently supporting software speculation on multicore processors. We propose the Copy or Discard (CorD) execution model in which state parallel threads is maintained separately from nonspeculative computation state. If successful, results are committed by copying them into non-speculative...
We present <inline-formula><tex-math notation="LaTeX">$\sf {Tentacle}$</tex-math></inline-formula> , a decision support framework to provision edge servers for online services providers (OSPs). {Tentacle}$</tex-math> </inline-formula> takes advantage of the increasingly flexible server placement, which is enabled by new technologies such as computing platforms, cloudlets and network function virtualization, optimize overall performance cost infrastructures. The key difference between...
Bus service is the most important function of public transportation. Besides major goal carrying passengers around, providing a comfortable travel experience for also key business consideration. To provide experience, effective bus scheduling essential. Traditional approaches are based on fixed timetables. The wide adoptions smart card fare collection systems and GPS tracing in transportation new opportunities using data-driven to fit demand passengers. In this paper, we associate these two...
Metro systems play an important role in meeting the demand for urban transportation large cities. The understanding of passenger route choice is critical public transit management. wide deployment automated fare collection (AFC) opens up a new opportunity. However, only each trip's tap-in and tap-out time stamp stations can be directly obtained from AFC system records; train chosen by are unknown, information necessary to solve our problem. While existing methods work well some specific...
Many large content publishers use multiple distribution networks to deliver their content, and many commercial systems have become available help a broader set of benefit from using networks, which we refer as multihoming. In this paper, conduct the first systematic study on optimizing multihoming, by introducing novel algorithms optimize both performance cost for particular, design novel, efficient algorithm compute assignments objects publishers, considering performance. We also...
Inter-data center wide area networks (inter-DC WANs) carry a significant amount of data transfers that require to be completed within certain time periods, or deadlines. However, very little work has been done guarantee such The crux is the current inter-DC WAN lacks an interface for users specify their transfer deadlines and mechanism provider ensure completion while maintaining high utilization. In this paper, we address problem by introducing deadline-based network abstraction (DNA) WANs....
The efficacy of photodynamic therapy (PDT) in the solid tumor is hampered by many challenges, including its oxygen self-consuming nature, insufficient levels within hypoxic microenvironment, and limited penetration photosensitizers tumors. Herein, we develop IR780@O2-SFNs/iRGD as an self-sufficient tumor-penetrating nanoplatform, which consists IR780-loaded pH-sensitive fluorocarbon-functionalized nanoparticles (SFNs) iRGD a targeting peptide that can penetrate deeper tumor. Because high...
Recent years have witnessed significant progress in 3D hand mesh recovery. Nevertheless, because of the intrinsic 2D-to-3D ambiguity, recovering camera-space information from a single RGB image remains challenging. To tackle this problem, we divide recovery into two sub-tasks, i.e., root-relative and root First, joint landmarks silhouette are extracted input to provide 2D cues for tasks. In task, exploit semantic relations among joints generate cues. Such generated coordinates expressed...
Alanine-serine-cysteine transporter 2 (ASCT2) is up-regulated in lung cancers, and inhibiting it could potentially lead to nutrient deprivation, making a viable strategy for cancer treatment. In this study, we present series of ASCT2 inhibitors based on aminobutanoic acids, which exhibit potent inhibitory activity. Two compounds, 20k 25e, were identified as novel inhibitors, with IC50 values at the micromolar level both A549 HEK293 cells, effectively blocking glutamine (Gln) uptake....
With environmental pollution becoming more serious, developing efficient treatment technologies for all kinds of organic wastewater has become the focus current research. In this work, coaxial electrospinning technology was used to one-step fabricate a porous and underwater superoleophobic polyacrylonitrile nanofibrous membrane with an Fe-based metal–organic framework (MIL-100(Fe)). Benefiting from synergistic effect two jets, nanofibers are smaller denser, which prompt exposure nanomaterial...
Many existing data center network (DCN) flow scheduling schemes, that minimize completion times (FCT) assume prior knowledge of flows and custom switch functions, making them superior in performance but hard to implement practice. By contrast, we seek FCT with no commodity hardware. To this end, present PIAS, a DCN mechanism aims by mimicking shortest job first (SJF) on the premise size is not known <italic xmlns:mml="http://www.w3.org/1998/Math/MathML"...
In this paper, we consider the scenario in which a mobile charger (MC) periodically travels within sensor network to recharge sensors wirelessly. We design joint charging and scheduling schemes maximize Quality of Monitoring (QoM) for stochastic events, arrive depart according known probability distributions time. Information is considered captured if it sensed by at least one sensor. focus on two closely related research issues, i.e., how choose decide time each them, schedule sensors'...
In-network Access Control List (ACL) is an important technique in ensuring network-wide connectivity and security. As cloud-scale WANs today constantly evolve size complexity, in-network ACL rules are becoming increasingly more complex. This presents a great challenge to the updating process of configurations: network operators frequently required update "tangled" across thousands devices meet diverse business requirements, even single misconfiguration may lead disruptions. Such increasing...