Demo Data from EDBT 2026 / reviewers in the wild / expert
Xiaoxue Yang
dblp:130/6172
· DBLP profile ↗
7ranked-venue papers
3as first author
6since 2021 · last 2024
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 since 2021Computer networks · 2 · 2 first-author · 2 since 2021Systems, architecture and hardware · 1 · 1 since 2021Theory of computation · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer networks
1 paper |
Optical networks · 70% Datacenter networks · 30% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Optical networks › optical communication components
arrayed waveguide grating |
0.8 | 1 | 2024 | ABOI: AWGR-Based Optical Interconnects for Single-Wavelength and Multi-Wavelength · IEEE/ACM Trans. Netw. 2024 |
Optical networks
optical interconnect |
0.8 | 1 | 2024 | ABOI: AWGR-Based Optical Interconnects for Single-Wavelength and Multi-Wavelength · IEEE/ACM Trans. Netw. 2024 |
Optical networks
wavelength-division multiplexing |
0.2 | 1 | 2024 | ABOI: AWGR-Based Optical Interconnects for Single-Wavelength and Multi-Wavelength · IEEE/ACM Trans. Netw. 2024 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.8buffer allocation · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Mean-field reinforcement learning for decentralized task offloading in vehicular edge computing
Si Shen, Guojiang Shen, Xiaoxue Yang, Feng Xia 0001, Xiangjie Kong 0001 |
J. Syst. Archit. | 3 |
| 2024 | ABOI: AWGR-Based Optical Interconnects for Single-Wavelength and Multi-WavelengthabstractOptical interconnect can achieve a substantial increase in the number of nodes and switching capability for data centers, by virtue of their low power consumption and high bandwidth. In this paper, we propose a single-wavelength switch architecture based on two-stage AWGR for data centers. Then the single-wavelength design is extended to support multi-wavelength, which has higher scalability but lower hardware complexity and power consumption. We prove that the single wavelength architecture is internal strictly non-blocking. When the incoming traffic is externally blocked, a buffer allocation algorithm is designed to allocate feedforward and feedback FDL for the blocked packets. Based on the simulation results, the proposed switch can provide higher throughput, lower average latency, and a 0 out-of-order ratio compared to existing solutions. Xiaoxue Yang, Bing Hu 0002, Chunming Wu 0001 |
IEEE/ACM Trans. Netw. | 1 |
| 2023 | High-frequency forecasting of the crude oil futures price with multiple timeframe predictions fusion
Shangkun Deng, Yingke Zhu, Shuangyang Duan, Yiting Yu, Zhe Fu 0007, Jiahe Liu, Xiaoxue Yang, Zonghua Liu |
Expert Syst. Appl. | 7 |
| 2022 | A Non-blocking Network Design for Terabit Capacity Optical InterconnectsabstractWith the rapid development of internet applications such as cloud computing and streaming media, people put higher demands on data center (DC) switching capabilities. Technology limitations of the backplane cause bottlenecks in its performance, which limits the growth rate of the communication ability of DC. The technology of waveguides based on polymer materials and waveguide connectors on the backplane has become an essential issue in the last few years. Architectures of optical interconnection remain to be explored. We propose a strictly non-blocking Clos-based optical architecture, which uses densely integrated optical waveguides to connect optical chips and achieve on-board networking. In addition, we design a Ring-Clos architecture to reduce the packet loss rate. The simulation results indicate that our design has good performance on throughput, packet loss rate, and latency. Xiaoxue Yang, Bing Hu 0002 |
HPSR | 1 |
| 2022 | A temporal fusion transformer for short-term freeway traffic speed multistep prediction
Hao Zhang 0176, Yajie Zou, Xiaoxue Yang |
Neurocomputing | 3 |
| 2021 | A Novel Architecture for High Capacity Optical BackplaneabstractThe switching capability required by data centers is rapidly developing, however, the technical limitations of the optical devices have created bottlenecks in their performance. Additionally, architectures that support thousands of servers remain to be explored. With a distributed control, we present a high-radix architecture that exploits the space domain and the wavelength domain to provide high throughput, achieving fast configuration and low latency. Considering the network size, we also propose two methods for implementation. We firstly form a strictly non-blocking network under the constraint of one connection per port. To scale up the switch, wavelength division multiplexing (WDM) is utilized to interconnect more servers and achieve higher bandwidth. The simulation results indicate that the proposed architecture can scale over thirty thousand servers with throughput reaching 87% while providing low latency. Xiaoxue Yang, Bing Hu 0002, Yan Qu |
ICC | 1 |
| 2016 | On conditional fault tolerance and diagnosability of hierarchical cubic networks
Shuming Zhou, Sulin Song, Xiaoxue Yang, Lanxiang Chen |
Theor. Comput. Sci. | 3 |