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Tianyu Xiang

dblp:79/2825 · DBLP profile ↗
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3ranked-venue papers
1as first author
1since 2021 · last 2026
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 2 · 1 first-authorArtificial intelligence and machine learning · 1 · 1 since 2021

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
2 papers
Internet of things and sensor networks · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%
Human-computer interaction and pervasive computing
1 paper
Ubiquitous computing and smart environments · 100%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks
energy harvesting
0.212013
Powering indoor sensing with airflows: a trinity of energy harvesting, synchronous duty-cycling, and sensing · SenSys 2013
Internet of things and sensor networks › energy harvesting
energy harvesting sensor networks
0.212013
Powering indoor sensing with airflows: a trinity of energy harvesting, synchronous duty-cycling, and sensing · SenSys 2013
Embedded and real-time systems › wireless communication › wireless sensor networks
adaptive duty cycling
0.212013
Powering indoor sensing with airflows: a trinity of energy harvesting, synchronous duty-cycling, and sensing · SenSys 2013
Embedded and real-time systems
intermittent computing
0.212013
Powering indoor sensing with airflows: a trinity of energy harvesting, synchronous duty-cycling, and sensing · SenSys 2013
Ubiquitous computing and smart environments
indoor sensing
0.012013
Powering indoor sensing with airflows: a trinity of energy harvesting, synchronous duty-cycling, and sensing · SenSys 2013

Methods — techniques the papers use, named apart from their topics

synchronous duty-cycling · 0.5energy harvesting · 0.2
YearPublicationVenuePosition
2026 FEAN: A Fragments Embedding and Aligning Network for image-text matching
Wuquan Deng, Tianyu Xiang, Hao Zhu 0003
Eng. Appl. Artif. Intell.6
2013 Powering indoor sensing with airflows: a trinity of energy harvesting, synchronous duty-cycling, and sensing
abstract
For indoor Wireless Sensor Networks (WSNs), as the conventional energy harvesting (e.g., solar) ceases to work in an indoor environment, the limited lifetime is still a threaten for practical deployment. We report in this demo a self-sustaining indoor sensing system. First of all, given the pervasive operation of heating, ventilation and air conditioning (HVAC) systems indoors, our system harvests energy from airflow introduced by the HVAC systems to power each sensor node. Secondly, as the harvested power is tiny (only of hundreds of μW) such that the exiting sensor products cannot be afforded due to their high energy consumption, we exploit the feature of our harvester to sense the airflow speed in an energy-free manner, which can pay back the environment by enhancing the awareness of the indoor microclimate. We also present two complementary algorithms to synchronize the duty-cycles of the sensor nodes to adapt to the energy harvesting. To our knowledge, this is the first indoor wireless sensing system that encapsulates energy harvesting, network operating, and sensing all together.
Feng Li 0002, Tianyu Xiang, Zicheng Chi, Jun Luo 0001, Lihua Tang, Yaowen Yang
SenSys2
2013 Powering indoor sensing with airflows: a trinity of energy harvesting, synchronous duty-cycling, and sensing
abstract
Whereas a lot of efforts have been put on energy conservation in wireless sensor networks, the limited lifetime of these systems still hampers their practical deployments. This situation is further exacerbated indoors, as conventional energy harvesting (e.g., solar) ceases to work. To enable long-lived indoor sensing, we report in this paper a self-sustaining sensing system that draws energy from indoor environments, adapts its duty-cycle to the harvested energy, and pays back the environment by enhancing the awareness of the indoor microclimate through an "energy-free" sensing.
Tianyu Xiang, Zicheng Chi, Feng Li 0002, Jun Luo 0001, Lihua Tang, Yaowen Yang
SenSys1